Homocysteine, blood pressure and gene–diet interactions in relation to vascular function measures of Black South Africans

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Schutte, Cornelie Nienaber-Rousseau This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4317982/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 01 Aug, 2024 Read the published version in Genes & Nutrition → Version 1 posted 4 You are reading this latest preprint version Abstract Aims We investigated circulating homocysteine (Hcy), a cardiovascular disease (CVD) risk factor, examining its dietary associations to provide personalized nutrition advice. This study addressed the inadequacy of current dietary interventions to ultimately address the disproportionately high incidence of CVD in Black populations. Methods and Results: Cross-sectional analyses of 1,867 Black individuals of the PURE-SA study allowed the identification of dietary intake and cardiovascular measure interactions on three sub-categories: 1) normal blood pressure (BP), hypertension or Hcy-related hypertension (Htype), 2) low, normal or high Hcy concentrations, and 3) Hcy-related genetic combinations. Favorable body composition, but adverse dietary intake and cardiovascular determinants, were observed in higher Hcy categories. H-types, compared to regular hypertensives, had higher alcohol and lower macronutrient and micronutrient consumption. Inverse associations with carotid-radial pulse wave velocity were evident between monounsaturated fatty acid (FA) consumption and H-type hypertension as well as polyunsaturated FA and CBS 883/ins68 TT carriers. Energy intake was positively associated with vascular cell adhesion molecule-1 (VCAM-1) in variant CBS T883C/ins68 and CBS 9276 GG carriers. VCAM-1 was also positively associated with plant protein intake in CBS 9276 GG and MTR 2756 AA carriers and negatively with total protein intake and CBS 9276 GG carriers. Alcohol intake was positively associated with intercellular adhesion molecule-1 in MTR 2756 minor allele carriers. Conclusion: Because Hcy genediet interactions are evident, personalized nutrition, by adjusting diets based on genetic profiles (e.g., CBS and MTR variations) and dietary interactions (e.g., fatty acids and proteins), can enhance cardiovascular outcomes by managing Hcy and related hypertension in genetically susceptible individuals. precision nutrition vascular function gene-diet interactions hyperhomocysteinemia H-type hypertension nutrigenetics Hcy-polymorphisms 1. Introduction Homocysteine (Hcy), a nonessential amino acid in a vitamin-regulated, one-carbon methylation pathway, is linked to numerous unfavorable health conditions [1]. Elevated circulating Hcy concentrations – representing hyperhomocysteinemia (HHcy) – not only impact health adversely but are associated with increased all-cause mortality risk, with each 5 µmol/l rise escalating rates by 34% [2]. Furthermore, HHcy is recognized as an independent risk factor for hypertension and cardiovascular disease (CVD) [3], inducing arterial wall structural and functional changes thereby influencing arterial stiffness [4]. However, data on HHcy’s effects among the Black South African population are scarce. Determining HHcy's role in the heightened mortality, uncontrolled hypertension, and CVD in developing countries such as South Africa, also struggling with nutritional issues [5], is critical. Diet is a modifier of Hcy concentrations. Determinants encompass protein, B vitamins, vegetables, fruits, omega 3 and 6 fatty acids, pulses, nuts, seeds and alcohol consumption, as previously reported [6–8]. A diet impacting Hcy through these determinants suggests potential disease-prevention strategies [9,10]. Whether diet could be a possible means of influencing HHcy – and by extension cardiovascular function and inflammation – should be investigated while also considering genetic factors. Several single nucleotide polymorphisms (SNPs) in the vitamin-regulated methylation pathway are relevant to Hcy. The methylenetetrahydrofolate reductase ( MTHFR ) C677T polymorphism (rs1801133) causes a reduction in enzyme activity that impairs methionine metabolism, resulting in elevated Hcy. Other SNPs – such as cystathionine β synthase ( CBS ) T833C/844ins68 (rs5742905) and G9276A (a novel SNP) – play a role in Hcy clearance whereas the methionine synthase ( MTR ) A2756G (rs1805087) polymorphism promotes remethylation of Hcy to methionine, affecting Hcy concentrations. The etiology of hypertension and CVD remains unclear, highlighting the need for research on Hcy-related genes and their interaction with environmental factors, especially diet, in developing these conditions. This focus is crucial, as diet is one of the few easily modifiable factors. Here we report an advance in understanding how Hcy interacts with CVD risk markers overall but also in respect of the genetic make-up of individuals with the benefit of precision nutrition. To this end, we used arterial stiffness as indicated by carotid-radialis pulse wave velocity (cr-PWV), endothelial activation [indicated by circulating intercellular adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1)] and, also, pulse pressure (PP), heart rate (HR), systolic (SBP), and diastolic BP (DBP) as outcome variables when investigating interactions with Hcy subdivisions and manifesting genotypes for MTHFR C677T, MTR A2756G and CBS T833C/844ins68 and G9276A. This work underscores the importance of including Hcy in hypertension screening and suggests personalized dietary advice for managing CVD risk among Black South Africans, considering individual Hcy concentrations, hypertension status and specific Hcy SNPs. This work highlights the potential of personalized dietary advice, based on individual Hcy concentrations and specific genetic profiles. This approach could improve the management of chronic conditions, particularly CVD risk and improve overall health outcomes in populations vulnerable to hypertension and cardiovascular issues.. 2. Materials and methods 2.1. Study design and participants This cross-sectional study utilized baseline data from the South African arm of the Prospective Urban and Rural Epidemiology (PURE–SA) study, part of a multinational cohort across 17 countries investigating risk factors for chronic diseases in transitioning communities [11]. Following an eligibility screening of 6,000 homes, Tswana-speaking South Africans over 35 from specific North West province areas, deemed healthy and not pregnant or lactating, were randomly selected for participation. Volunteers were informed in the language of their choice and required to provide signed informed consent before any data were acquired. Participants could withdraw or refuse any measurement at any stage of the study without consequence. For this investigation, only individuals who had BP and Hcy data were included for analyses (n = 1,867). North-West University’s Health Research Ethics Committee approved the PURE–SA and sub-study protocols (ethics numbers: 04M10 and NWU-00142-18-A1), adhering to the Declaration of Helsinki principles, ensuring voluntary participation, anonymity and confidentiality. 2.2. Questionnaires Data on demographics and lifestyle were collected through interviews using standardized questionnaires by fieldworkers [11]. Food intake was assessed with quantitative food frequency questionnaires (QFFQs), validated against 7-day weighed food records and biomarkers [12], supplemented by food portion photograph books for accurate portion size reporting. QFFQ data were logged using FoodFinder3® [South African Medical Research Council (SAMRC), Tygerberg, 2007] and analyzed for nutrients by the SAMRC. Dietary supplement use was negligible and excluded from micronutrient intake calculations. 2.3. Anthropometric measures Anthropometric measurements, including height (IP 1465, Invicta, London, UK), weight (Precision Health Scale, A&D Company, Tokyo, Japan), hip (HC) and waist circumference (WC) (Lufkin steel tape, Cooper Tools, Apex, NC, USA), were obtained with calibrated instruments following the International Society for the Advancement of Kinanthropometry (ISAK) guidelines [13]. Body mass index (BMI) and waist-to-hip ratio (WHR) were calculated from height, weight (kg/m 2 ), and circumferences, respectively. 2.4. Cardiovascular marker measurements To ensure accuracy under standardized conditions [14], participants were instructed to avoid exercise, smoking, and caffeine use prior to measurements, and to observe a 5-minute rest. An Omron HEM-757 device (Omron Healthcare, Kyoto, Japan) measured brachial SBP, DBP, HR, and calculated PP in seated participants with their right arm at heart level. cr-PWV was assessed in a supine position on the left side using a Complior SP device (Artech-Medical, Pantin, France). Hypertension was diagnosed at BP ≥ 140/90 mmHg or with anti-hypertensive medication use [14, including thiazide diuretics, calcium channel blockers, and renin–angiotensin system inhibitors. H-type hypertension was identified in hypertensive individuals with Hcy levels ≥ 10 µmol/l [15]. 2.5. Laboratory biochemical measurements Volunteers fasted overnight before a registered nurse collected blood samples from the antecubital vein before 11:00. Samples were centrifuged at 2,000 × g for 15 min to separate serum, plasma, and buffy coat, then stored at − 80°C. Total plasma Hcy was measured using fluorescence polarization immunoassay [CV = 4.52%] on an Abbott immunoassay analyzer (AxSYM, Abbott Laboratories, Abbott Park, IL, USA). Sequential multiple analyzers from Konelab 20i (Thermo Scientific, Vantaa, Finland) and Cobas Integra 400 Plus (Roche, Basel, Switzerland) analyzed biomarkers including high-sensitivity C-reactive protein (hsCRP), gamma-glutamyl transferase (GGT) and all blood lipids [high-density lipoprotein cholesterol (HDL-c), total cholesterol (TC) and triglycerides], with low-density lipoprotein cholesterol (LDL-c) calculated via the Friedewald–Levy–Fredrickson formula [16]. Fasting plasma glucose was determined by the SynchronR System (Beckman Coulter Co., Fullerton, CA, USA) hexokinase method, and fasting glycated hemoglobin A1c (HbA1c) by the Bio-Rad Laboratories (Hercules, CA, USA) D-10 system. Sandwich ELISAs (human sICAM-1 and human sVCAM-1 assay, IBL, Hamburg, Germany) measured serum ICAM-1 and VCAM-1 levels. Whole blood tested for HIV with the First Response HIV 1-2-0 test (Premier Medical Corporation Ltd, Daman, India), confirmed by the Pareeshak card test (BHAT Bio-tech, Bengaluru, India) if positive. Genomic DNA was extracted from peripheral blood leukocytes using QIAGEN®, Flexigene® DNA kits (QIAGEN® Valencia, CA, USA; catalog number 51 206) and quantified by NanoDrop™ spectrophotometry (ND-1000, Wilmington, DE, USA).Five Hcy-related SNPs; MTHFR C677T (rs1801133), CBS T833C (rs5742905), CBS 844ins68 (indel, no rs#), CBS G9276A (novel SNP, no rs#) and MTR A2756G (rs1805087) were genotyped using polymerase chain reaction and restriction fragment length polymorphism methods to distinguish genotypes as described at length elsewhere [17]. 2.6. Statistical analysis Statistica version 14.0 (TIBCO Software Inc., Tulsa, OK, USA) and R version 4.2.0 (R Foundation for Statistical Computing, Vienna, Austria; 2020) were used for data analysis. Shapiro–Wilk W and Kolmogorov–Smirnov tests assessed normality. Descriptive statistics for non-normal data were presented as medians and interquartile ranges, and for normal data as means ± standard deviations. Normal and partial Spearman rank correlations (adjusting for age, WHR, HDL-c, and GGT) assessed Hcy’s relationship with dietary intake. Mann–Whitney U tests compared dependent continuous variables across three groups (normal BP vs. hypertension, normal BP vs. H-type hypertension, hypertension vs. H-type hypertension). General linear models (GLMs) identified differences among low ( 12.0 µmol/l) Hcy categories [18]. To explore associations between CVD markers, dietary components, Hcy categories, BP categories, and Hcy-related genetic polymorphisms, factorial GLMs, adjusted for age, assessed interaction effects. The CBS T833C and CBS 844ins68 SNPs, being in complete linkage, were reported as CBS T833C/844ins68 [17]. Heterozygotes and homozygotes for variant alleles were combined following the dominant genetic mode. Partial Spearman correlations, adjusted for age and added sugar, analyzed relationships between CVD markers, dietary intake, BP sub-groups, Hcy sub-groups, and genotypes using this genetic coding. For general analyses, P ≤ 0.05 indicated statistical significance. To address multiple testing and false discovery rates, Hochberg and Benjamini's method was applied. With a false discovery rate of 25%, considering 4 SNPs (CBS 833 SNP linked with 844ins68), subdivisions as 1, dietary intake categories as 5, and cardiovascular markers as 1 due to associations with dietary factors, the significance threshold was set at P < 0.01 [1/((4 + 1)51))(.25) = 0.01]. 3. Results 3.1. Characteristics compared across Hcy sub-groups and correlations with Hcy The characteristics and differences across Hcy sub-groups are detailed in Table 1 . Most of the recruits presented with normal Hcy concentrations (56.7%), whereas 18.3% demonstrated low and 25.0% high levels. Age, HDL-c, and GGT increased over rising Hcy sub-groups. Furthermore, certain body composition variables were more favorable (weight, BMI, and WC decreased; HC and WHR increased) over sub-groups with increasing Hcy concentrations, these associations attenuated after adjusting for sex. A quarter of HIV-seroposiive individuals were in the low-Hcy category, whereas a quarter of those without the virus presented with high Hcy, resulting in frequency differences among the Hcy sub-groups. However, Hcy concentrations did not differ between those with or without HIV (P = 0.99). Alcohol intake was greater in the high-Hcy category (17.2 g/d) – more than double that of the low-Hcy category intake (8.14 g/d); this association remained after adjustments. Energy intake, total protein, animal protein, added sugar, and fat intake (including SFAs, MUFAs, PUFAs, omega-6 FAs, omega-3 FAs and cholesterol) were lower in the highest-Hcy category. Fruit and vegetable intake and B vitamins (biotin, pantothenic acid, vitamin B 6 , and vitamin B 12 ) were also lowest in the high-Hcy group. For biotin and vitamin B 6 , those presenting with normal and high Hcy and for vitamin B 12 those with high Hcy, respectively, did not meet the recommended daily allowances (RDAs) of 30 µg, 1.3–1.5 mg and 2.4 µg, respectively. For pantothenic acid, none of the Hcy sub-groups met the RDA of 5 mg, with the intake values declining over increasing Hcy sub-groups. Even though folate, niacin and riboflavin intake ranges did not differ among the Hcy sub-groups, no sub-group’s intake met the RDA of 400 µg, 1.1–1.3 mg and 14.0–16.0 mg, respectively, and tended to be lower over increasing Hcy sub-groups. Of the cardiovascular measures, SBP, DBP, PP, HR, and cr-PWV differed among the Hcy sub-groups, being higher in the HHcy sub-group with DBP and cr-PWV exceeding normal healthy ranges [14, 19]. Table 1 Demographic and dietary intake characteristics of participants among homocysteine sub-groups Variables Median (25th − 75th ), mean (± SD) or n (%) Difference among groups p value Whole group ( n = 1,867) Low Hcy ( 12.0 µmol/l) ( n = 469; 25.0%) Age (year) 48.0 (41.0–56.0) 44.0 (40.0–51.0) 48.0 (41.0–56.0) 51.0 (44.0–60.0) < 0.0001 Sex , n (%) Male 705 71 (10.1) 392 (55.6) 242 (34.3) < 0.0001 Female 1162 270 (23.2) 665 (57.2) 227 (19.6) Urbanization level , n (%) Urban 910 193 (21.2) 526 (57.8) 191 (21.0) < 0.0001 Rural 957 148 (15.5) 531 (55.5) 278 (29.0) Tobacco use , n Current 73 10 (13.7) 50 (68.5) 13 (17.8) 0.05 Former 976 187 (19.2) 525 (53.8) 264 (27.0) Never 809 143 (17.7) 474 (58.6) 192 (23.7) Anthropometrical markers Weight (kg) 60.2 (51.2–72.9) 61.8 (52.2–75.5) 60.3 (51.3–74.2) 57.4 (50.5–67.6) 0.001 BMI (kg/m 2 ) 23.0 (19.3–28.9) 24.1 (19.9–30.7) 23.3 (19.2 − 29.0) 21.8 (18.8–26.5) < 0.0001 Waist circumference (cm) 77.45 (70.2–87.7) 78.4 (69.7–89.2) 77.4 (70.0–88.0) 76.9 (70.8–84.9) 0.35 Hip circumference (cm) 93.13 (84.8–106) 96.3 (86.1–109) 93.8 (85.0–106) 90.0 (83.8–101) < 0.0001 Waist-to-hip ratio 0.83 (0.78–0.88) 0.82 (0.76–0.87) 0.83 (0.78–0.88) 0.85 (0.80–0.89) < 0.0001 Biochemical markers HIV status, n (%) Sero-negative 1549 261 (16.8) 872 (56.3) 416 (26.9) < 0.0001 € Sero-positive 310 77 (24.8) 183 (59.0) 50 (16.2) Status unknown 7 3 (42.8) 2 (28.6) 2 (28.6) TC (mmol/l) 4.82 (4.01–5.87) 4.67 (3.85–5.72) 4.89 (4.05–5.94) 4.82 (40.6–5.88) 0.08 LDL-c (mmol/l) 2.77 (2.07–3.63) 2.71 (2.08–3.60) 2.85 (2.15–3.73) 2.63 (1.91–3.52) 0.02 HDL-c (mmol/l) 1.42 (1.06–1.87) 1.31 (0.97–1.73) 1.39 (1.06–1.82) 1.60 (1.15 − 2.16) < 0.0001 Triglycerides (mmol/l) 1.08 (0.82–1.55) 1.09 (0.81–1.51) 1.08 (0.82 − 1.54) 1.06 (0.81 − 1.60) 0.56 Fasting glucose (mmol/l) 4.80 (4.30–5.30) 4.80 (4.30–5.30) 4.80 (4.30–5.30) 4.80 (4.20–5.40) 0.66 HbA1c (%) 5.50 (5.30–5.80) 5.50 (5.30–5.90) 5.60 (5.30 − 5.80) 5.50 (5.20 − 5.80) 0.02 GGT (µkat/l) 46.0 (29.7–88.0) 39.0 (26.9–66.8) 43.1 (29.3–73.1) 63.3 (33.1–153) < 0.0001 Hcy (µmol/l) 9.18 (7.50–12.1) 6.04 (5.47–6.59) 8.97 (8.03–10.17) 14.6 (13.0–17.7) < 0.0001 CRP (mg/l) 3.29 (0.96–9.34) 3.16 (0.84–8.97) 3.20 (0.95–9.29) 3.62 (1.15 − 9.87) 0.15 Cardiovascular markers SBP (mmHg) 130 (116–147) 126 (113–142) 128 (116–145) 138 (122–154) < 0.0001 DBP (mmHg) 87.0 (78.0–97.0) 86.0 (76.5–95.0) 86.0 (77.0–95.0) 90.0 (81.0–101) < 0.0001 Pulse pressure (mmHg) 43.0 (35.0–53.0) 41.0 (34.0–50.0) 43.0 (36.0–53.0) 46.0 (37.0–57.0) < 0.0001* Heart rate (bpm) 72.0 (62.0–84.0) 71.5 (62.0–84.0) 70.0 (61.0–82.0) 77.0 (65.5–88.0) < 0.0001 cr-PWV (m/s) 10.9 (9.55–12.2) 10.6 (9.01–11.8) 10.8 (9.54–12.1) 11.2 (10.1–12.8) < 0.0001 ICAM-1 (ng/ml) 371 (234–507) 305 (216–458) 367 (227–502) 447 (289–560) 0.23 VCAM-1 (ng/mL) 693 (390–1279) 662 (326–1259) 717 (391–1301) 706 (479–1155) 0.26 Daily dietary intake markers Energy (kJ) 7175 (5268–10001) 7614 (5516–10528) 7125 (5195–10025) 6959 (5240–9570) 0.17 # Alcohol intake (g) 11.8 ± 27.7 8.14 ± 20.1 11.1 ± 22.3 17.2 ± 28.8 < 0.0001 Protein (%TE) 11.6 (10.4–12.9) 11.9 (10.7–13.1) 11.6 (10.3–12.9) 11.3 (10.3–12.6) 0.02 Protein intake (g) 49.27 (34.8–71.5) 53.7 (35.5–74.6) 47.9 (34.8–72.7) 46.9 (34.0–65.5) 0.06 # Plant protein intake (g) 28.9 (20.9–38.4) 29.8 (22.0–39.3) 28.4 (20.4–37.9) 28.6 (20.7–38.7) 0.86 Animal protein intake (g) 18.4 (10.1–30.6) 22.3 (11.7–33.6) 18.4 (10.2–30.7) 15.8 (9.00–26.6) < 0.0001 Carbohydrate (%TE) 60.3 (54.2–67.5) 59.9 (53.9–66.9) 60.2 (54.6–67.8) 60.6 (53.7–67.3) 0.52 Added sugar (%TCHO) 15.2 (9.51–21.8) 15.6 (10.6–22.0) 15.6 (9.66–22.7) 13.8 (8.38–19.5) < 0.0001 Total fat (%TE) 22.5 (17.4–27.7) 23.7 (18.8–29.9) 22.8 (17.7–27.8) 21.0 (15.6–26.4) < 0.0001 SFAs (%TE) 5.29 (3.63–7.06) 5.63 (4.16–7.50) 5.41 (3.71–7.02) 4.78 (3.02–6.65) < 0.001 MUFAs (%TE) 5.77 (3.75–7.74) 6.18 (4.12–8.18) 5.89 (3.89 − 7.70) 5.08 (3.29–7.36) 0.001 PUFAs (%TE) 6.78 (5.06–8.60) 6.90 (5.15–8.84) 6.85 (5.13–8.60) 6.48 (4.65–8.31) 0.04* Omega-6 FAs (g) 12.0 (6.98–18.5) 13.3 (7.67–20.8) 12.0 (7.75–18.3) 10.9 (6.17–17.3) 0.01 Omega-3 FAs (g) 0.34 (0.20–0.52) 0.37 (0.23–0.58) 0.34 (0.20–0.52) 0.30 (0.18–0.44) < 0.0001 Cholesterol (mg) 150 (80.0–259) 175 (87.5–289) 147 (77.7–259) 138 (78.5–229) 0.02 Dietary folate (µg) 356 (248–481) 373 (261–488) 350 (248–487) 354 (238–474) 0.21 Dietary vitamin B 1 (mg) (thiamine) 1.49 (1.09–2.05) 1.56 (1.13–2.10) 1.45 (1.07–2.04) 1.54 (1.09–2.05) 0.77 Dietary vitamin B 2 (mg) (riboflavin) 1.01 (0.65–1.63) 1.09 (0.69–1.67) 0.98 (0.64–1.60) 0.97 (0.68–1.60) 0.98 Dietary biotin (µg) 30.2 (19.1–46.3) 34.75 (20.5–50.6) 29.6 (18.8–46.6) 27.7 (18.4–42.5) 0.02 Dietary pantothenic acid (mg) 3.67 (2.21–4.97) 3.67 (2.36–5.18) 3.39 (2.18–5.08) 2.97 (2.10–4.43) 0.001 Dietary vitamin B 3 (mg) (niacin) 12.7 (8.88–18.6) 13.0 (9.30–18.5) 12.6 (8.72–18.7) 12.5 (8.94–18.5) 0.62 Dietary vitamin B 6 (mg) 1.29 (0.92–1.84) 1.43 (0.98–1.97) 1.25 (0.90–1.84) 1.26 (0.89–1.73) 0.02 Dietary vitamin B 12 (µg) 2.69 (1.23–5.07) 3.33 (1.51–5.88) 2.68 (1.18–4.97) 2.33 (1.13–4.67) < 0.01 Fruit and vegetables (g) 86.6 (51.9–154) 95.4 (56.7–174) 87.9 (52.9–152) 79.6 (48.6–135) 0.03 Pulses, nuts and seeds (g) 4.29 (0.00–19.3) 4.29 (0–21.43) 5.00 (0.00–19.57) 3.57 (0.00–16.6) 0.41 BMI, body mass index; CRP, C-reactive protein; cr-PWV, carotid-radial pulse wave velocity; DBP, diastolic blood pressure; GGT, gamma glutamyl transferase; Hcy, homocysteine; HDL-c, high-density lipoprotein cholesterol; HbA1c, glycated hemoglobin; HIV, human immunodeficiency virus; HR, heart rate; ICAM-1, intercellular adhesion molecule 1; LDL-c, low-density lipoprotein cholesterol; MUFAs, monounsaturated fatty acids; PP, pulse pressure; PUFAs, polyunsaturated fatty acids; SFAs, saturated fatty acids; SBP, systolic blood pressure; VCAM-1, vascular cell adhesion molecule 1. n (%) calculated across rows for categorical variables. Categorical variables: Pearson chi-squared test. Continuous variables: GLM adjusted for age, WHR, GGT. € Hcy concentrations did not differ between those with or without HIV ( P = 0.99). *Lost significance after adjustment. # Became significant after adjustment. Table 2 shows correlations between Hcy and various markers. Initially, Hcy positively correlated with age, WHR, HDL-c, GGT, some cardiovascular markers, and alcohol intake (all r ≥ 0.15), and negatively with most dietary intake markers (r ≤ 0.15). In model 2, after adjusting for age, WHR, HDL-c, and GGT, excluding collinear variables, positive correlations remained for age, HDL-c, GGT and added sugar's percentage of total carbohydrate intake (all r ≥ 0.15). Post-adjustment, only Hcy and HR showed a weak correlation among cardiovascular markers. Table 2 Correlations of Hcy with demographic, anthropometric, biochemical, CVD risk markers and diet Variables Model 1 Model 2* r p r p Age 0.28 < 0.0001 0.16 < 0.001 Anthropometrical markers BMI (kg/m 2 ) –0.13 < 0.0001 –0.07 0.10 Waist circumference (cm) –0.03 0.24 0.03 0.57 Hip circumference (cm) –0.14 < 0.0001 –0.05 0.31 Waist-to-hip ratio 0.17 < 0.0001 0.08 0.09 Biochemical markers TC (mmol/l) 0.05 0.02 0.11 0.01 LDL-c (mmol/l) –0.05 0.03 < 0.001 0.99 HDL-c (mmol/l) 0.19 < 0.0001 0.21 < 0.0001 Triglycerides (mmol/l) 0.001 0.96 –0.09 0.04 Fasting glucose (mmol/l) 0.002 0.92 –0.02 0.58 HbA1c (%) –0.05 0.02 –0.02 0.74 GGT (µkat/l) 0.24 < 0.0001 0.15 < 0.001 CRP (mg/l) 0.03 0.15 0.01 0.84 Cardiovascular markers SBP (mmHg) 0.19 < 0.0001 0.04 0.33 DBP (mmHg) 0.16 < 0.0001 0.07 0.13 Pulse pressure (mmHg) 0.14 < 0.0001 –0.01 0.89 Heart rate (bpm) 0.11 < 0.0001 0.09 0.04 cr-PWV (m/s) 0.19 < 0.0001 0.03 0.56 ICAM-1 (ng/ml) 0.23 < 0.0001 0.03 0.57 VCAM-1 (ng/ml) 0.04 0.35 0.06 0.16 Dietary intake Energy (kJ) –0.05 0.04 –0.12 0.01 Alcohol intake (g) 0.16 < 0.0001 0.11 0.01 Protein (%TE) –0.05 0.04 –0.01 0.87 Protein intake (g) –0.05 0.02 –0.11 0.01 Plant protein intake (g) -0.08 0.001 –0.08 0.09 Animal protein intake (g) -0.02 0.29 –0.09 0.04 Carbohydrate (%TE) –0.04 0.11 –0.03 0.48 Added sugar (%TCHO) –0.10 < 0.01 –0.16 < 0.0001 Total fat (%TE) –0.10 < 0.0001 –0.07 0.02 SFAs (%TE) –0.10 < 0.0001 –0.10 0.02 MUFAs (%TE) –0.08 < 0.001 –0.04 0.32 PUFAs (%TE) –0.06 < 0.01 –0.03 0.50 Omega-6 FAs (g) –0.09 < 0.001 –0.11 0.01 Omega-3 FAs (g) –0.09 < 0.001 –0.10 0.02 Cholesterol (mg) –0.07 < 0.01 –0.08 0.09 Dietary folate (µg) –0.04 0.07 –0.07 0.11 Dietary vitamin B 1 (mg) (thiamine) –0.02 0.48 –0.07 0.13 Dietary vitamin B 2 (mg) (riboflavin) 0.003 0.90 –0.09 0.05 Dietary biotin (µg) –0.08 < 0.01 –0.10 0.02 Dietary pantothenic acid (mg) –0.08 < 0.001 –0.09 0.05 Dietary vitamin B 3 (mg) (niacin) –0.001 0.97 –0.05 0.25 Dietary vitamin B 6 (mg) –0.06 < 0.01 –0.09 0.03 Dietary vitamin B 12 (µg) –0.07 < 0.01 –0.10 0.02 Fruit and vegetables (g) –0.07 0.01 –0.07 0.11 Pulses, nuts and seeds (g) –0.04 0.10 –0.05 0.20 BMI, body mass index; CRP, C-reactive protein; cr-PWV, carotid-radial pulse wave velocity; DBP, diastolic blood pressure; FA, fatty acid; GGT, gamma glutamyl transferase; HDL-c, high-density lipoprotein cholesterol; HbA1c, glycated hemoglobin; HR, heart rate; ICAM-1, intercellular adhesion molecule 1; LDL-c, low-density lipoprotein cholesterol; MUFAs, monounsaturated fatty acids; %TE, percentage total energy; %TCHO, percentage energy from carbohydrates; PUFAs, polyunsaturated fatty acids; PP, pulse pressure; SBP, systolic blood pressure; SFAs, saturated fatty acids; TC, total cholesterol; VCAM-1, vascular cell adhesion molecule1. *Partial Spearman correlations in Model 2 were adjusted for age, WHR, HDL-c and GGT, except for those where collinearity was of concern; age was not adjusted for itself; anthropometrical markers not for WHR; blood lipids not for HDL-c and alcohol intake and GGT were not adjusted for GGT. 3.2. Daily dietary intake compared among blood pressure sub-groups To explore the association between Hcy as well as its dietary determinants and BP as a cardiovascular risk factor, sub-groups for blood pressure (BP) were created including a group for H-type hypertension; differences are noted in Table 3 . While there is an age difference between normal BP and regular hypertension groups, it is not present between normal BP and H-type hypertension. Those with regular hypertension also presented with B-vitamin intake ranges meeting the RDAs except for folate and pantothenic acid, whereas those with H-type hypertension did not satisfy the RDAs except for thiamin and vitamin B 12 . The difference between the hypertension vs H-type hypertension groups' energy intake was not attributed to age, weight, GGT, alcohol, added sugar and carbohydrates alone or combined, but due to differences in either total protein or fat intake. Genotype frequency differences among BP subgroups are detailed in another study [20]. Table 3 Daily dietary intake of participants compared among blood pressure sub-groups Dietary intake variables Median (25th − 75th ) or mean ± SD or n (%) p value for difference among BP sub-groups (Mann–Whitney U) Normal ( n = 1,044) Hypertension* ( n = 526) H-type hypertension* ( n = 425) Normal vs HTN Normal vs H-type HTN HTN vs H-type HTN Energy (kJ) 6,933 (5,111–9,471) 7,833 (5,702–11,226) 7,065 (5,248–9,893) 0.0001 0.53 < 0.001 Alcohol (g) 10.8 ± 23.5 11.0 ± 21.9 15.0 ± 25.6 < 0.0001 < 0.0001 0.01 Protein (%TE) 11.5 (10.3–12.8) 11.5 (10.3–12.8) 11.6 (10.4–12.9) < 0.01 0.88 0.07 Protein (g) 46.7 (33.9–66.1) 55.0 (37.9–82.0) 48.0 (34.4–68.4) < 0.0001 0.62 < 0.0001 Plant protein (g) 28.5 (20.4–37.6) 30.5 (22.2–41.5) 28.0 (20.2–38.2) 0.04 0.62 0.01 Animal protein (g) 16.4 (9.01–28.6) 23.5 (12.6–35.3) 18.1 (10.6–28.6) < 0.0001 0.80 < 0.0001 Carbohydrate (%TE) 61.5 (54.9–68.7) 58.5 (53.7–65.3) 60.1 (53.7–66.7) < 0.0001 0.06 0.22 Added sugar (%TCHO) 15.3 (9.59–21.8) 15.6 (10.0–22.7) 14.3 (8.83–20.2) 0.49 < 0.01 < 0.01 Total fat (%TE) 21.9 (17.2–27.5) 23.8 (18.9–28.8) 22.0 (17.2–27) 0.01 0.35 < 0.001 SFAs (%TE) 5.10 (3.43–7.00) 5.71 (4.16–7.25) 5.16 (3.57–7.01) 0.01 0.89 < 0.01 MUFAs (%TE) 5.43 (3.56–7.61) 6.38 (4.33–8.18) 5.60 (3.72–7.55) < 0.001 0.74 < 0.001 PUFAs (%TE) 6.73 (4.90–8.66) 7.19 (5.40–8.73) 6.60 (5.06–8.32) 0.25 0.20 < 0.01 Omega-6 FAs (g) 11.5 (10.3–12.8) 14.4 (8.71–21.9) 12.1 (10.4–12.9) < 0.0001 0.21 < 0.0001 Omega-3 FAs (g) 0.32 (0.18–0.49) 0.39 (0.24–0.59) 0.32 (0.20–0.49) < 0.0001 0.63 < 0.0001 Cholesterol (mg) 136 (74.0–244) 190 (94.4–302) 147 (81.0–246) < 0.0001 0.93 0.0001 Dietary folate (µg) 353 (250–468) 372 (256–523) 344 (227–477) 0.22 0.16 < 0.01 Dietary vitamin B 1 (mg) (thiamine) 1.48 (1.07–1.98) 1.53 (1.12–2.29) 1.47 (1.09–2.07) 0.13 0.57 0.07 Dietary vitamin B 2 (mg) (riboflavin) 0.94 (0.63–1.50) 1.19 (0.71–1.80) 1.01 (0.67–1.62) < 0.0001 0.33 0.02 Dietary biotin (µg) 28.4 (18.7–43.6) 36.4 (20.8–52.8) 29.4 (18.2–43.5) < 0.001 0.36 < 0.0001 Dietary pantothenic acid (mg) 3.13 (2.11–4.71) 4.01 (2.44–5.65) 3.11 (2.20–4.75) < 0.0001 0.32 < 0.0001 Dietary vitamin B 3 (mg) (niacin) 12.0 (8.47–17.6) 14.2 (9.93–20.9) 12.6 (8.92–18.5) < 0.0001 0.98 0.001 Dietary vitamin B 6 (mg) 1.26 (0.89–1.75) 1.42 (0.94–2.12) 1.27 (0.91–1.75) 0.02 0.25 0.001 Dietary vitamin B 12 (µg) 2.49 (1.12–4.77) 3.28 (1.47–6.04) 2.55 (1.28–4.94) < 0.01 0.90 < 0.01 Fruit and vegetables (g) 80.1 (48.9–138) 104 (61.9–191) 86.4 (50.6–148) < 0.0001 0.69 < 0.0001 Pulses, nuts and seeds (g) 2.93 (0.00–18.9) 5.71 (0.00–21.4) 2.86 (0.00–17.1) 0.17 0.32 0.02 FA, fatty acid; MUFAs, monounsaturated fatty acids; %TE, percentage total energy; %TCHO, percentage energy from carbohydrates; PUFAs, polyunsaturated fatty acids; SFAs, saturated fatty acids; TC, total cholesterol. *H-type hypertension is a subset of those presenting with both hypertension and Hcy > 10.0 µmol/l and has thus been excluded from the hypertension group to ensure 3.3. Interactions with dietary intake in relation to cardiovascular markers In Tables 4 , 5 and 6 the interactions (P ≤ 0.01) between the BP sub-groups, Hcy sub-groups or Hcy-related SNPs and dietary intake are presented in relation to cardiovascular markers. Table 4 Blood pressure category interactions with markers of nutritional status in relation to markers of cardiovascular function Interactions with BP categories Interaction p value Genetic alleles Unadjusted Adjusted for age Adjusted for age and added sugar r p r p r p in relation to SBP Cholesterol < 0.01 Normal BP 0.08 0.01 0.08 0.14 0.09 0.12 HTN 0.08 0.06 –0.04 0.70 –0.02 0.83 H-type HTN 0.02 0.70 –0.14 0.22 –0.16 0.18 Dietary vitamin B 12 < 0.01 Normal BP 0.05 0.09 0.08 0.15 0.09 0.13 HTN 0.05 0.26 –0.06 0.30 –0.04 0.69 H-type HTN 0.05 0.26 –0.16 0.17 –0.17 0.14 in relation to DBP Dietary vitamin B 12 0.01 Normal BP 0.01 0.78 0.05 0.41 0.05 0.40 HTN 0.10 0.02 0.04 0.67 0.06 0.57 H-type HTN < 0.01 0.93 –0.10 0.41 –0.11 0.34 in relation to PP Protein < 0.001 Normal BP 0.03 0.32 –0.06 0.28 –0.07 0.20 HTN 0.15 < 0.001 –0.03 0.72 0.04 0.72 H-type HTN 0.13 < 0.01 0.04 0.71 0.03 0.77 Animal protein 0.001 Normal BP 0.04 0.25 –0.05 0.40 –0.04 0.47 HTN 0.09 0.05 –0.06 0.56 –0.05 0.61 H-type HTN 0.12 0.01 0.04 0.75 0.04 0.71 in relation to cr-PWV Animal protein 0.01 Normal BP –0.10 < 0.01 –0.05 0.42 –0.04 0.49 HTN –0.02 0.63 < 0.01 0.98 0.04 0.69 H-type HTN –0.05 0.34 0.02 0.84 0.03 0.80 Cholesterol 0.01 Normal BP –0.06 0.05 0.01 0.92 0.01 0.84 HTN –0.02 0.66 0.02 0.83 0.05 0.60 H-type HTN –0.03 0.50 0.08 0.48 0.10 0.41 SFAs 0.001 Normal BP –0.11 < 0.001 –0.11 0.05 –0.10 0.09 HTN –0.11 0.01 –0.07 0.50 –0.02 0.86 H-type HTN –0.12 0.01 –0.04 0.75 –0.06 0.63 MUFAs 0.01 Normal BP –0.12 < 0.001 –0.12 0.03 –0.11 0.05 HTN –0.09 0.05 –0.08 0.46 –0.03 0.79 H-type HTN –0.10 0.03 0.01 0.93 –0.01 0.96 Carbohydrate < 0.01 Normal BP –0.02 0.59 –0.04 0.54 –0.03 0.63 HTN –0.01 0.86 –0.04 0.72 –0.05 0.65 H-type HTN –0.03 0.51 0.05 0.69 0.02 0.85 HTN, hypertension; MUFAs, monounsaturated fatty acids; %TE, percentage of total energy intake; SFAs, saturated fatty acids. p values for interaction obtained via GLM adjusted for age. First r and P value are for unadjusted Spearman correlations; second r and p value are adjusted for age; third additionally adjusted for added sugar. Table 5 Hcy categories interactions with markers of nutritional status in relation to markers of cardiovascular function Interactions with Hcy categories Interaction P value Hcy category Unadjusted Adjusted for age Adjusted for age and added sugar r p r p r p in relation to ICAM-1 Dietary biotin < 0.01 Low –0.10 0.27 –0.11 0.27 –0.11 0.28 Normal 0.10 0.09 0.15 0.01 0.15 0.01 High 0.10 0.28 0.15 0.14 0.16 0.11 Fruit and vegetables < 0.01 Low –0.04 0.71 –0.04 0.71 –0.04 0.71 Normal 0.13 0.02 0.13 0.03 0.13 0.03 High –0.04 0.70 –0.02 0.86 0.01 0.94 in relation to VCAM-1 Fruit and vegetables < 0.01 Low 0.08 0.39 0.06 0.32 0.10 0.31 Normal 0.08 0.16 0.07 0.26 0.07 0.22 High –0.03 0.75 0.003 0.97 0.01 0.93 P values for interactions obtained via GLM adjusted for age. First r and P value are for unadjusted Spearman correlations; second r and P value are adjusted for age; third additionally adjusted for added sugar. Table 6 MTHFR, MTR and CBS gene polymorphisms’ interactions with markers of nutritional status in relation to markers of cardiovascular function Interaction p value Genetic alleles Unadjusted Adjusted for age Adjusted for age and added sugar r p r p r p Interactions with MTHFR C677T in relation to cr-PWV Added sugar < 0.01 CC –0.11 < 0.0001 –0.06 0.26 – – CT/TT –0.15 < 0.01 –0.02 0.87 – – in relation to VCAM-1 Dietary vitamin B 12 0.01 CC 0.02 0.73 –0.001 0.97 –0.001 0.98 CT/TT 0.05 0.60 –0.05 0.68 –0.05 0.69 Interactions with CBS T883C/ins68 in relation to cr-PWV Plant protein intake 0.01 TT 0.06 0.07 0.13 0.05 0.09 0.15 TC/CC –0.01 0.74 –0.03 0.67 –0.07 0.28 Dietary vitamin B 1 (thiamine) < 0.01 TT 0.08 0.01 0.14 0.02 0.11 0.10 TC/CC –0.04 0.70 –0.01 0.91 –0.05 0.43 Dietary vitamin B 6 0.01 TT 0.04 0.26 0.09 0.15 0.07 0.27 TC/CC –0.05 0.16 –0.03 0.63 –0.07 0.32 PUFAs 0.01 TT –0.13 < 0.0001 –0.15 0.01 –0.16 0.01 TC/CC –0.04 0.17 –0.04 0.52 –0.04 0.58 in relation to VCAM-1 Energy intake 0.01 TT 0.06 0.29 0.06 0.35 0.06 0.33 TC/CC 0.14 0.02 0.14 0.02 0.15 0.01 Protein 0.01 TT –0.05 0.40 –0.07 0.27 –0.08 0.21 TC/CC –0.06 0.30 –0.06 0.32 –0.06 0.38 Animal protein < 0.01 TT –0.11 0.07 –0.12 0.05 –0.10 0.12 TC/CC –0.07 0.24 –0.09 0.13 –0.10 0.11 Dietary vitamin B 3 (niacin) 0.01 TT 0.06 0.35 0.06 0.32 0.06 0.37 TC/CC 0.10 0.11 0.10 0.11 0.12 0.06 Dietary pantothenic acid 0.01 TT 0.003 0.96 –0.01 0.32 < 0.001 0.99 TC/CC 0.10 0.10 0.10 0.14 0.10 0.11 Omega-3 FAs < 0.01 TT 0.002 0.97 –0.01 0.93 0.01 0.89 TC/CC 0.05 0.37 0.06 0.34 0.06 0.35 Interactions with CBS G9276A in relation to VCAM-1 Energy 0.01 GG –0.03 0.35 0.15 0.01 0.14 0.02 GA/AA –0.01 0.86 0.03 0.63 0.03 0.63 Plant protein < 0.01 GG 0.04 0.28 0.21 < 0.001 0.21 < 0.0001 GA/AA 0.05 0.16 0.05 0.49 0.04 0.53 Dietary vitamin B 3 (niacin) 0.01 GG 0.06 0.10 0.12 0.05 0.11 0.06 GA/AA 0.02 0.53 0.02 0.79 0.02 0.82 Interactions with MTR A2756G in relation to cr-PWV SFAs 0.01 AA –0.11 0.0001 –0.10 0.07 –0.11 0.05 AG/GG –0.06 0.15 –0.06 0.41 –0.02 0.75 in relation to ICAM-1 Alcohol intake < 0.01 AA 0.10 0.08 0.10 0.07 0.09 0.11 AG/GG 0.12 0.10 0.15 0.05 0.15 0.04 in relation to VCAM-1 Energy < 0.01 AA 0.09 0.09 0.08 0.15 0.08 0.18 AG/GG 0.12 0.09 0.12 0.12 0.12 0.12 Total protein < 0.01 AA –0.10 0.08 –0.12 0.04 –0.12 0.03 AG/GG –0.02 0.83 –0.02 0.80 –0.01 0.85 Plant protein < 0.01 AA 0.11 0.04 0.15 < 0.0.1 0.14 0.01 AG/GG –0.001 0.99 0.13 0.09 0.14 0.07 Dietary vitamin B 6 < 0.01 AA 0.12 0.03 0.11 0.05 0.10 0.07 AG/GG 0.13 0.06 0.15 0.04 0.15 0.04 Dietary folate 0.01 AA 0.15 < 0.01 0.15 < 0.01 0.14 0.01 AG/GG 0.18 0.01 0.20 < 0.01 0.21 < 0.01 FAs, fatty acids; %TCHO, percentage of total carbohydrate energy; %TE, percentage total energy; PUFAs, polyunsaturated fatty acids; SFAs, saturated fatty acids. P values for interactions obtained via GLM adjusted for age, but the interaction with cr-PWV is additionally adjusted for mean arterial pressure. First r and P values are for unadjusted Spearman correlations; second r and P values are adjusted for age, third additionally adjusted for added sugar. 3.3.1. BP sub-group interactions For those within the normal BP range, cholesterol intake had a positive relationship with SBP. Furthermore, dietary vitamin B 12 intake had a protective inverse relationship with DBP in those with hypertension. Total protein, as a percentage of energy, linearly associated with PP in hypertensives and H-type hypertensives; animal protein showed a stronger positive correlation with PP in H-type hypertensives than in other BP categories, but inversely with cr-PWV in normal BP individuals. Consumption of SFAs showed negative associations with cr-PWV across all BP subdivisions, with H-type hypertension manifesting a slightly stronger correlation. MUFAs intake also displayed a negative linear association between cr-PWV in those with normal BP and H-type hypertension, and borderline associations with the hypertension groups as well. All correlations with BP sub-groups, except those with MUFAs intake in normotensives, became inconsequential after adjusting for age; after additionally adjusting for added sugar intake, this association became borderline as well. 3.3.2. Hcy sub-group interactions Those presenting with Hcy concentrations within the normal ranges had a borderline positive association with biotin and a positive association between fruit and vegetable intake in relation to ICAM-1, whereas no association was observed in the other sub-groups. Partial Spearman correlations, after adjusting for age and then age plus added sugar, revealed stronger biotin associations and consistent positive relations with fruit/vegetable intake. Yet, significance vanished after adjusting interactions for added sugar. 3.3.3. Hcy-related polymorphism interactions Added sugar displayed a nuanced relationship with cr-PWV among MTHFR genotypes, showing a stronger negative association in variant allele carriers compared to wildtype homozygotes at the 677 locus. Adjusting for fruit/vegetable intake and age nullified the significance. CBS T883C/ins68 TT genotype carriers showed a notable inverse correlation with cr-PWV and PUFAs intake, not altered by age or added sugar, strengthening post-adjustment. In individuals with the TT genotype of CBS T883C/ins68, there was a positive correlation between thiamine intake and cr-PWV, while no significant correlation was observed in individuals with other genotypes After adjusting for added sugar, the interaction and sub-group correlations with thiamine were no longer significant. In those harboring the variant allele of CBS T883C/ins68, there was a positive linear association, even after additional adjustment, between energy consumption and VCAM-1, whereas in those harboring the wildtype allele no association was observed. The homozygote major G allele carriers of the CBS 9276 genotype also had strong positive correlations between VCAM-1 and energy as well as plant protein consumption only after adjusting for age and added sugar intake. For MTR A2756G homozygote AA genotypes, a negative linear association between cr-PWV and SFAs intake persisted after adjusting for fruit and vegetable intake but disappeared with PUFAs adjustment. Age and added sugar adjustments further attenuated correlations. The minor G allele carriers exhibited a positive association between ICAM-1 and alcohol intake only after adjusting for age and added sugar. Total, plant proteins, vitamin B 6 , and folate intake positively correlated with VCAM-1 in AA genotypes. For heterozygotes and GG carriers, folate showed the strongest positive correlation with VCAM-1. Post-adjustment for age and added sugar, protein and folate associations persisted, while vitamin B 6 's became borderline. 4. Discussion In this study we considered diet interactions across three sub-groups: 1) normal BP, hypertension, and Hcy-related hypertension (H-type); 2) low, normal, and high Hcy levels; and 3) various Hcy-related genotypes. We observed that those with HHcy expressed more favorable energy and macronutrient intake and body composition measures than those with normal and low-Hcy concentrations. However, hyperhomocysteinemic individuals reported noticeably higher alcohol and lower fruit and vegetable intake, possibly contributing to their inadequate vitamin status and higher CVD measures. There were more men than women in the HHcy category and, after accounting for sex, the body composition associations disappeared, although differences in alcohol and diet intake remained noteworthy. Moreover, 9 in 10 of those with HHcy also presented with hypertension (H-type) and when compared with the regular hypertension sub-group, H-type hypertensives recorded higher alcohol intake and lower fruit and vegetable consumption, including lower folate and other B vitamins intake, than those with hypertension alone. To complement our investigation, we report below on specific dietary aspects of BP categories, Hcy categories and Hcy-related genetic characteristics that associate with cardiovascular functional measures and CVD risk in a population already at a high risk. 4.1. Blood pressure categories, dietary intake and cardiovascular function markers BP measurement, an affordable, non-invasive tool, helps healthcare professionals detect and manage chronic conditions and is a step that could complement personalized nutrition. Yet, guidelines overlook H-type hypertension, which could significantly impact hypertension management and precision nutrition. We advise everyone, particularly individuals with hypertension, to consume adequate vitamin B 12 . Research on the direct effects of vitamin B 12 intake and BP are scarce [21]; the most plausible link is through the Hcy folate–vitamin B 12 dependent and independent remethylation metabolism, in which a reduced vitamin B 12 intake results in higher Hcy concentrations and thereby raised hypertension and CVD risk. We also advise individuals with regular and H-type hypertension to monitor their total protein intake, as it may raise PP, especially advising caution with animal protein for those with H-type, given PP's significance in CVD risk [22]. The 10-year Zutphen study on Dutch middle-aged men showed no link between PP and dietary protein intake [22]. Conversely, a study of younger (< 30 years) white and Black South Africans revealed that despite lower total and animal protein intake among Blacks, they had higher serum protein levels [23]. The authors suggested this could stem from heightened protein catabolism or enhanced endogenous amino acid biosynthesis, potentially increasing collagen to mitigate early vascular aging risk. Given our older hypertensive and H-type participants, they might experience elevated PP from higher protein consumption. However, in individuals with normal BP, increased animal protein intake seemingly did not adversely affect arterial function. MUFA consumption was positively associated with arterial function in all BP sub-groups, particularly in normal and H-type hypertension. The negative correlations between SFA intake and cr-PWV may stem from MUFAs and SFAs collinearity, as adjusting for MUFAs intake weakened these associations. Despite mixed evidence on MUFAs and vascular health, beneficial impacts on serum lipids, BP, and E-selectin suggest a lower CVD risk [24]. Further intervention studies are essential to substantiate MUFA intake recommendations and elucidate underlying mechanisms. 4.2. Hcy categories, daily dietary intake and markers of cardiovascular function Hcy measurements are more invasive and elective than recording BP but should be regarded as a necessary step in the approach to personalized nutrition, particularly in cardiovascular health. Incorporating Hcy screening into hypertension guidelines could differentiate between regular and H-type hypertension for targeted treatment. Biotin, known for immunoregulatory properties affecting proinflammatory cytokine expression, which in turn induces ICAM-1 and VCAM-1 expression [25], showed positive correlations with Hcy in CBS T833C minor allele carriers [6]. However, research to confirm a direct relationship between dietary biotin and ICAM-1 remains to be done. We revealed that the positive associations between ICAM-1 and biotin get stronger when accounting for age more so than sugar in those with normal Hcy concentrations. It seems that the association between ICAM-1 and fruit and vegetable intake in the same Hcy group was unaffected by either. Notably, biotin and fruit/vegetable consumers ingested more added sugar and significance diminished after adjusting for sugar interactions. Fructose induces ICAM-1 expression by diminishing endothelial nitric oxide and depleting adenosine triphosphate, leading to vascular cell inflammation [26]. Habitually high intake of carbohydrates, simple sugars, and fructose in particular, contributes to insulin resistance, weight gain and increased BP [27]. Some studies speculate that insulin resistance also produces a drop in methionine transmethylation, hepatic Hcy trans-sulphuration and Hcy clearance, resulting in raised concentrations of circulating Hcy [28, 29]. In Black South Africans, higher socio-economic status improves micronutrient intake through better access to fruits, vegetables, pulses, nuts, and seeds [11, 30] but also raises added sugar and SFA consumption, heightening non-communicable disease risks like CVD [31]. We, therefore, advise an adequate intake of fruit and vegetables, but caution against the accompanying consumption of added sugar. 4.3. Hcy-related genetic SNPs, daily dietary intake and markers of cardiovascular function and inflammation Incorporating genomic testing into CVD and hypertension guidelines could enhance personalized nutrition strategies, emphasizing the role of Hcy-related genetic polymorphisms in dietary impacts on cardiovascular health, particularly for H-type hypertension sufferers. The relationship between sugar, SFAs and fruit and vegetable intake could explain the disappearance of the inverse association between added sugar and cr-PWV in variant allele carriers, which was stronger than in those homozygous for the wildtype allele at the 677 locus, after accounting for fruit and vegetable intake. It could also help clarify why, after adjusting for sugar intake, the folate and VCAM-1 relationships disappeared in those carrying the MTR 2756 minor A genotype. The same can be said for positive associations betweenVCAM-1 and MTR 2756 major allele carriers for vitamin B 6 intake. Lastly, the intake of thiamine, a precursor of coenzymes in sugar and amino acid catabolism, led to higher cr-PWV in the TT carriers CBS T883C/ins68 with the interactions disappearing after adjusting for added sugar. It seems therefore that an improved micronutrient status should be accompanied by a balanced, prudent diet of lower added sugar and fructose intake. cr-PWV was inversely associated with lower PUFA intake in those harboring the TT genotype of CBS T883C/ins68. A previous intervention study reported that daily supplementation of 4,000 mg of omega-3 for 12 weeks decreased carotid-femoral PWV in older, but not younger, healthy adults independent of the effects on BP or arterial wave reflections [32]. The mechanism by which omega-3 PUFAs influence endothelial function (PWV) is mediated by their integration into the phospholipids of biological membranes, so affecting their fluidity. This interaction leads omega-3 PUFAs to bring about their beneficial effects such as increased nitric oxide production and reduced expression of proinflammatory mediators [33]. Despite the study population’s unusually low intake of omega-3 PUFAs, the beneficial implications should not be disregarded. A longitudinal PURE-SA study also found an inverse relationship between omega-6 PUFAs, SBP, and DBP [34], suggesting protective effects may highlight omega-6 long-chain products' role in physiological functions among those with limited omega-3 consumption. The inverse association between SFAs intake and cr-PWV in those harboring MTR 2756AA could possibly be explained by the accompanying PUFAs intake. Energy consumption was positively associated with VCAM-1 in CBS T883C/ins68 minor allele carriers and CBS 9276 homozygote major allele carriers. However, after adjustment for total carbohydrate intake the interaction disappeared, hinting at a potential link between energy from carbohydrates. Data on the relationship between energy intake and VCAM-1 are scarce. The additional adjustment for total carbohydrate intake that negated the interaction could be explained by the release of VCAM-1 in a dose-dependent manner when energy from carbohydrates increased glucose levels, as illustrated in a previous in vitro experiment using different doses of glucose in human umbilical vein endothelial cells (HUVECs) [35]. Positive linear associations between plant protein intake and VCAM-1 were observed in those harboring homozygote major alleles for CBS 9276 and/or MTR 2756, associations that remained after adjustments. However, an inverse relationship was observed for total protein intake and the MTR 2756 major homozygote AA carriers, suggesting a beneficial relationship. This is supported by previous studies that reported on animal and plant protein intake that decreased VCAM-1 expression in both unstimulated and stimulated HUVECs [36] as well as vascular endothelial cells [37]. The type of protein and concomitant nutrients could contribute to some of the different outcomes observed here. 4.4. Recommendations for precision nutrition International nutrition and hypertension guidelines offer general recommendations to prevent and manage cardiovascular risk [14, 38]. Although most guidelines are proposed for application across the larger population, and do not currently account for Hcy or H-type hypertension, our personalised nutrition approach still supports and fits within the following general guidelines: 1) lowered sugar intake; 2) sufficient intake of fruit and vegetables; 3) moderate intake of animal products; and 4) an adequate intake of healthy fats. We found that added sugar intake should be limited in those with seemingly normal Hcy or those carrying the T allele at MTHFR 677, to avoid possible detrimental associations with vascular activation (ICAM-1) and vascular function (cr-PWV). Reducing energy and sugar intake benefits CBS T883C/ins68 minor allele and CBS 9276 GG homozygote carriers regarding endothelial activation. Our results endorse consuming fruits and vegetables for their vitamin content, highlighting vitamin B 12 's role in DBP management and meeting the RDA for those with hypertension. Achieving optimal vitamin status, particularly through fruits and vegetables, supports arterial health. Animal products, high in cholesterol and SFAs, should be consumed sparingly to manage SBP and PP, with a particular focus on animal protein for H-type hypertensives. Carriers of the MTR 2756 AA and CBS 9276 GG genotypes, on the other hand, should be sensible when consuming plant protein – lower rather than higher consumption could be beneficial in terms of vascular-related inflammation and atherosclerosis. Lastly, our results support an adequate intake of healthy fats such as PUFAs and MUFAs. Sufficient consumption of PUFAs is advised for carriers of the TT genotype of CBS T883C/ins68, owing to their positive influence on cr-PWV. We encourage also the intake of MUFAs within the normal ranges for all BP groups to ensure optimal cr-PWV and arterial wall function. Furthermore, dietary management is an alternative treatment avenue that could be explored for those who are resistant to traditional hypertensive drugs. 4.5. Limitations and strengths The study's large population allowed detection of changes in cardiovascular function and gene–diet interactions, but a larger sample could better account for low-frequency SNPs. Due to its cross-sectional design, only associations were observed without causal inference. Recall bias in dietary assessment via the QFFQ may lead to under- or overreporting. For more precise results, we suggest using biochemical vitamin measures to capture absorption, metabolism and bioavailability, which dietary questionnaires overlook. Future research should conduct dietary supplementation trials by genotype and BP sub-groups to test their effectiveness. Additional cardiovascular markers such as carotid-femoral PWV, a “gold standard” measure for arterial stiffness, and intima media thickness should also be included in future research. 5. Conclusions This study contributes to understanding Hcy-related nutrigenetics and cardiovascular health in Black South Africans, a group where gene–diet interactions with Hcy, BP, and cardiovascular markers are underexplored. We have shown that measures of dietary intake are associated with Hcy categories, BP groupings and specific CVD risk markers when considering SNPs. We also identified differences between regular hypertension and H-type hypertension. Although these findings are promising, it is important to acknowledge that personalized strategies may be accessible to only certain socio-economic sections of a population, which could exacerbate health disparities. Personalized nutrition should be embedded within a broad-based nutritional setting and supported by evidence-based regulations, policies and population-dependent approaches, which is not generally the case in certain communities of a low-middle-income country like South Africa. In an ideal setting, before a precision approach can be implemented, we propose that: 1) Hcy screening be included in hypertension and CVD diagnosis; 2) H-type hypertension be recognized as a category of hypertension during disease prevention, management and treatment; 3) Hcy/gene–diet relationships with BP and cardiovascular measures, as presented here, be further explored as a means holding much promise with regard to improving cardiovascular health through personalized nutrition. The success of such an approach depends on its integration into a well-supported healthcare framework that addresses the broader social and economic challenges faced by the target population. Declarations Ethics approval and consent to participate: The Health Research Ethics Committee at North-West University approved the PURE-SA study protocols (ethics numbers: 04M10 and NWU-00142-18-A1) Informed consent was obtained from all subjects involved in the study ensuring voluntary participation as well as the anonymity and confidentiality of the participants and their data. Consent for publication: Not applicable. Availability of data and materials: The data that support the findings of this study are available upon reasonable request and with the permission of the Health Research Ethics Committee of the North-West University and the principal investigator of the PURE-SA-NW study, Prof. Cristian Ricci ( [email protected] ) at the North-West University’s Africa Unit for Transdisciplinary Health Research. Declarations of interest or competing interests: none. Funding: The research reported here did not receive any specific grant because it was a secondary analysis of previously collected data. A special mention to the South African Medical Research Council (SAMRC) for granting J.P.dP. a scholarship through its Division of Research Capacity Development under the Bongani Mayosi National Health Scholars Programme from funding received from the Public Health Enhancement Fund/South African National Department of Health. Disclosure Statement: The funders had no role in the study design, data collection or analysis, decision to publish, or preparation of the manuscript, whose content is the sole responsibility of the authors and does not necessarily represent the official views of the funding agencies. Authors’ Contributions: Conceptualization C.N-R.; methodology, J.P.dP., C.N-R., L.L. and A.E.S; validation, J.P.dP., L.L., A.E.S and C.N-R.; formal analysis, J.P.dP. and C.N-R.; investigation, J.P.dP. and C.N-R.; resources, L.L., A.E.S and C.N-R.; data curation, C.N-R., L.L. and A.E.S.; writing—original draft preparation, J.P.dP. and C.N-R.; writing—review and editing, J.P.dP, L.L., A.E.S and C.N-R.; visualization, J.P.dP. and C.N-R.; supervision, C.N-R.; funding acquisition, C.N-R. and A.E.S. All authors have read and agreed to the published version of the manuscript. Acknowledgments: We appreciate all contributors, participants and supporting staff of the PURE-SA research team; we especially thank Professor Annamarie Kruger (posthumous); all the fieldworkers and the office personnel of the Africa Unit for Transdisciplinary Health Research (AUTHeR) in the Faculty of Health Sciences of NWU; the PURE-International research team, office personnel and leader Dr. Yusuf and the PURE study. References Smith AD, Refsum H. Homocysteine–from Disease Biomarker to Disease Prevention. J Intern Med. 2021, 90, 826-54. doi.org/10.1111/joim.13279 Fan R, Zhang A, Zhong F. Association between Homocysteine Levels and All-Cause Mortality: A Dose-Response Meta-Analysis of Prospective Studies. Sci Rep. 2017, 7, 1-9. doi:10.1038/s41598-017-05205-3 Zhong F, Zhuang L, Wang Y, Ma Y. Homocysteine Levels and Risk of Essential Hypertension: A Meta-Analysis of Published Epidemiological Studies. Clin Exp Hypertens. 2017, 39, 160-7. doi.org/10.1080/10641963.2016.1226888 Chen L, Wang B, Wang J, Ban Q, Wu H, Song Y, Zhang J, Cao J, Zhou Z, Liu L, Cao T. Association between Serum Total Homocysteine and Arterial Stiffness in Adults: A Community‐Based Study. J Clin Hypertens. 2018, 20, 686-93. doi.org/10.1111/jch.13246 Schutte AE, Srinivasapura Venkateshmurthy N, Mohan S, Prabhakaran D. Hypertension in Low-and Middle-Income Countries. Circ Res. 2021, 128, 808-26. doi.org/10.1161/CIRCRESAHA.120.318729 Du Plessis JP, Melse-Boonstra A, Zandberg L, Nienaber-Rousseau C. Gene Interactions Observed with the HDL-C Blood Lipid, Intakes of Protein, Sugar and Biotin in Relation to Circulating Homocysteine Concentrations in a Group of Black South Africans. Mol Genet Metab Rep. 2020, 22, e100556. doi.org/10.1016/j.ymgmr.2019.100556 Nienaber-Rousseau C. Dietary Strategies to Treat Hyperhomocysteinaemia Based on the Biochemistry of Homocysteine: A Review. South Afr J Clin Nutr. 2014, 27, 93-100. doi: 10.1080/16070658.2014.11734495 Nienaber-Rousseau C, Pisa PT, Venter CS, Ellis SM, Kruger A, Moss SJ, Melse-Boonstra A, Towers GW. Nutritional Genetics: The Case of Alcohol and the Mthfr C677t Polymorphism in Relation to Homocysteine in a Black South African Population. J Nutrigenet Nutrigenomics. 2013, 6, 61-72. doi.org/10.1159/000348839 Chen L, Li Q, Fang X, Wang X, Min J, Wang F. Dietary Intake of Homocysteine Metabolism-Related B-Vitamins and the Risk of Stroke: A Dose-Response Meta-Analysis of Prospective Studies. Adv Nutr. 2020, 11, 1510-28. doi.org/10.1093/advances/nmaa061 McNulty H, Strain J, Hughes CF, Ward M. Riboflavin, Mthfr Genotype and Blood Pressure: A Personalized Approach to Prevention and Treatment of Hypertension. Mol Aspects Med. 2017, 53, 2-9. doi.org/10.1016/j.mam.2016.10.002 Teo K, Chow C, Vaz M, Rangarajan S, Yusuf S. The Prospective Urban Rural Epidemiology (Pure) Study: Examining the Impact of Societal Influences on Chronic Noncommunicable Diseases in Low-, Middle-, and High-Income Countries. Am Heart J. 2009, 158, 1-7. doi.org/10.1016/j.ahj.2009.04.019 MacIntyre U, Venter C, Vorster H. A Culture-Sensitive Quantitative Food Frequency Questionnaire Used in an African Population: 2. Relative Validation by 7-Day Weighed Records and Biomarkers. Public Health Nutr. 2001, 4, 63-71. doi.org/10.1079/PHN200041 Marfell-Jones M, Stewart A, Olds T. Kinanthropometry Ix, 1st ed.; Taylor & Francis: New York, NY, USA, 2006; pp.11-128. Unger T, Borghi C, Charchar F, Khan NA, Poulter NR, Prabhakaran D, Ramirez A, Schlaich M, Stergiou GS, Tomaszewski M, Wainford RD. 2020 International Society of Hypertension Global Hypertension Practice Guidelines. Hypertens. 2020, 75, 1334-57. https://doi.org/10.1161/HYPERTENSIONAHA.120.15026 Li J, Jiang S, Zhang Y, Tang G, Wang Y, Mao G, Li Z, Xu X, Wang B, Huo Y. H-type hypertension and risk of stroke in Chinese adults: a prospective, nested case–control study. J Transl Int Med. 2015, 3, 171–78. doi:10.1515/jtim-2015-0027. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, without Use of the Preparative Ultracentrifuge. Clin Chem. 1972, 18, 499-502. doi.org/10.1093/clinchem/18.6.499 Nienaber-Rousseau C, Ellis SM, Moss SJ, Melse-Boonstra A, Towers GW. Gene–Environment and Gene–Gene Interactions of Specific Mthfr, Mtr and Cbs Gene Variants in Relation to Homocysteine in Black South Africans. Gene. 2013, 530, 113-8. doi.org/10.1016/j.gene.2013.07.065 Karger AB, Steffen BT, Nomura SO, Guan W, Garg PK, Szklo M, Budoff MJ, Tsai MY. Association between homocysteine and vascular calcification incidence, prevalence, and progression in the MESA cohort. J Am Heart Assoc. 2020, 9, e013934. Reference Values for Arterial Stiffness' Collaboration. Determinants of pulse wave velocity in healthy people and in the presence of cardiovascular risk factors:‘establishing normal and reference values’. Eur Heart J. 2010, 31, 2338-50. du Plessis JP, Lammertyn L, Schutte AE, Nienaber-Rousseau C. H-Type Hypertension among Black South Africans and the Relationship between Homocysteine, Its Genetic Determinants and Estimates of Vascular Function. J Cardiovasc Dev Dis. 2022, 9, 447-63. doi: 10.3390/jcdd9120447 Chiu HF, Venkatakrishnan K, Golovinskaia O, Wang CK. Impact of Micronutrients on Hypertension: Evidence from Clinical Trials with a Special Focus on Meta-Analysis. Nutrients. 2021, 13, 588-607. doi.org/10.3390/nu13020588 Mertens E, Tielemans S, Soedamah-Muthu S, Geleijnse J. Pulse Pressure Trajectories in Relation to Cardiovascular Mortality and Dietary Protein Intake: The Zutphen Study. Proc Nutr Soc. 2015, 74, e346. doi.org/10.1017/S0029665115003936 Mels CM, Delles C, Louw R, Schutte AE. Central Systolic Pressure and a Nonessential Amino Acid Metabolomics Profile: The African Prospective Study on the Early Detection and Identification of Cardiovascular Disease and Hypertension. J Hypertens. 2019, 37, 1157-66. doi: 10.1097/HJH.0000000000002040 Du Y, Taylor CG, Zahradka P. Modulation of Endothelial Cell Responses and Vascular Function by Dietary Fatty Acids. Nutr Rev. 2019, 77, 614-29. doi.org/10.1093/nutrit/nuz026 Rodriguez-Melendez R, Zempleni J. Regulation of Gene Expression by Biotin☆. J Nutr Biochem. 2003, 12, 680-90. doi.org/10.1016/j.jnutbio.2003.07.001 Glushakova O, Kosugi T, Roncal C, Mu W, Heinig M, Cirillo P, Sanchez-Lozada LG, Johnson RJ, Nakagawa T. Fructose Induces the Inflammatory Molecule Icam-1 in Endothelial Cells. J Am Soc Nephrol. 2008, 19, 1712-20. doi.org/10.1681/ASN.2007121304 Basciano H, Federico L, Adeli K. Fructose, Insulin Resistance, and Metabolic Dyslipidemia. Nutr Metab. 2005, 2, 1-14. doi:10.1186/1743-7075-2-5 Han N, Chae JW, Jeon J, Lee J, Back HM, Song B, Kwon KI, Kim SK, Yun HY. Prediction of Methionine and Homocysteine Levels in Zucker Diabetic Fatty (Zdf) Rats as a T2dm Animal Model after Consumption of a Methionine-Rich Diet. Nutr Metab. 2018, 15, 14-22. doi 10.1186/s12986-018-0247-1 Tessari P, Cecchet D, Vettore M, Coracina A, Puricelli L, Kiwanuka E. Decreased Homocysteine Trans-Sulfuration in Hypertension with Hyperhomocysteinemia: Relationship with Insulin Resistance. J Clin Endocrinol Metab. 2017, 103, 56-63. doi.org/10.1210/jc.2017-01076 Vorster H, Kruger A, Venter C, Margetts B, Macintyre U. Cardiovascular Disease Risk Factors and Socio-Economic Position of Africans in Transition: The Thusa Study: Cardiovascular Topics. Cardiovasc J Afr. 2007, 18, 282-9. Casari S, Di Paola M, Banci E, Diallo S, Scarallo L, Renzo S, Gori A, Renzi S, Paci M, de Mast Q, Pecht T. Changing Dietary Habits: The Impact of Urbanization and Rising Socio-Economic Status in Families from Burkina Faso in Sub-Saharan Africa. Nutrients. 2022, 14, 1782-1800. doi.org/10.3390/nu14091782 Monahan KD, Feehan RP, Blaha C McLaughlin DJ. Effect of Omega‐3 Polyunsaturated Fatty Acid Supplementation on Central Arterial Stiffness and Arterial Wave Reflections in Young and Older Healthy Adults. Physiol Rep. 2015, 3, e12438. doi.org/10.14814/phy2.12438 Zanetti M, Grillo A, Losurdo P, Panizon E, Mearelli F, Cattin L, Barazzoni R, Carretta R. Omega-3 Polyunsaturated Fatty Acids: Structural and Functional Effects on the Vascular Wall. BioMed Res Int. 2015, 2015, 1-15. doi.org/10.1155/2015/791978 Zec MM, Schutte AE, Ricci C, Baumgartner J, Kruger IM, Smuts CM. Long-Chain Polyunsaturated Fatty Acids Are Associated with Blood Pressure and Hypertension over 10-Years in Black South African Adults Undergoing Nutritional Transition. Foods. 2019, 8, 394-409. doi.org/10.3390/foods8090394 Videm V, Albrigtsen M. Soluble Icam‐1 and Vcam‐1 as Markers of Endothelial Activation. Scand J Immunol. 2008, 67, 523-31. doi.org/10.1111/j.1365-3083.2008.02029.x Da Silva MS, Bigo C, Barbier O, Rudkowska I. Whey Protein Hydrolysate and Branched-Chain Amino Acids Downregulate Inflammation-Related Genes in Vascular Endothelial Cells. Nutr Res. 2017, 38, 43-51. doi.org/10.1016/j.nutres.2017.01.005 Burris RL, Ng HP, Nagarajan S. Soy Protein Inhibits Inflammation-Induced Vcam-1 and Inflammatory Cytokine Induction by Inhibiting the Nf-Κb and Akt Signaling Pathway in Apolipoprotein E–Deficient Mice. Eur J Nutr. 2014, 53, 135-48. doi.org/10.1007/s00394-013-0509-7 Siervo M, Lara J, Chowdhury S, Ashor A, Oggioni C, Mathers JC. Effects of the Dietary Approach to Stop Hypertension (Dash) Diet on Cardiovascular Risk Factors: A Systematic Review and Meta-Analysis. Br J Nutr. 2015, 113, 1-15. doi.org/10.1017/S0007114514003341 Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4317982","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":300313373,"identity":"ab54860c-b475-4138-bcdf-66e075f40ffa","order_by":0,"name":"Jacomina P Plessis","email":"","orcid":"","institution":"North-West University","correspondingAuthor":false,"prefix":"","firstName":"Jacomina","middleName":"P","lastName":"Plessis","suffix":""},{"id":300313375,"identity":"a333de68-8c04-475b-ba0c-b269bf57f663","order_by":1,"name":"Leandi Lammertyn","email":"","orcid":"","institution":"North-West University","correspondingAuthor":false,"prefix":"","firstName":"Leandi","middleName":"","lastName":"Lammertyn","suffix":""},{"id":300313378,"identity":"893543ab-e608-4e5e-adba-77f582ecb08c","order_by":2,"name":"Aletta E. Schutte","email":"","orcid":"","institution":"North-West University","correspondingAuthor":false,"prefix":"","firstName":"Aletta","middleName":"E.","lastName":"Schutte","suffix":""},{"id":300313380,"identity":"5564e222-dd50-4cd6-8ba0-42827a7e6754","order_by":3,"name":"Cornelie Nienaber-Rousseau","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABFElEQVRIie2QwUrDQBCGRwKby5Rcp2xpXmFDwHjyWTYI9VIkx4JiIoH0op5X8CF8hEogueQN2kNFyEmhIIiilG4vRXQr9eZhv8PPsMzHzA6AxfJvSUjHXqZjAuBmuyjiq4KTnZRNpdtJ/t7sja/a+UIc9IHnF4/J2awf3TxXHOHQB6+cmxRq6ihQgkLo3eehqtqwNz0ZaOUoyKASJkXQgHEUFGcUFxxZGSs+3J8iOFJ/brvyKSjVyvgDl2Wqus1aSSU47mKrolOCnuJ0ilIS4VopJTA0TqGmYt1LQUFBcc47122gcBi934o6KBAT88UKRm+jc9+j44cXfJ355DaheBqd+p5X35mUDezbwj9eLBaLxfIHVpDkUIlX8f5CAAAAAElFTkSuQmCC","orcid":"","institution":"North-West University","correspondingAuthor":true,"prefix":"","firstName":"Cornelie","middleName":"","lastName":"Nienaber-Rousseau","suffix":""}],"badges":[],"createdAt":"2024-04-24 11:46:55","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4317982/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4317982/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s12263-024-00751-8","type":"published","date":"2024-08-01T15:57:58+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":61794625,"identity":"180bed0d-dec9-42b2-ae60-3367c5bbb671","added_by":"auto","created_at":"2024-08-05 16:18:38","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2351395,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4317982/v1/f64f889f-81f7-4502-8fda-9625d3852cb6.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Homocysteine, blood pressure and gene–diet interactions in relation to vascular function measures of Black South Africans","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eHomocysteine (Hcy), a nonessential amino acid in a vitamin-regulated, one-carbon methylation pathway, is linked to numerous unfavorable health conditions [1]. Elevated circulating Hcy concentrations \u0026ndash; representing hyperhomocysteinemia (HHcy) \u0026ndash; not only impact health adversely but are associated with increased all-cause mortality risk, with each 5 \u0026micro;mol/l rise escalating rates by 34% [2]. Furthermore, HHcy is recognized as an independent risk factor for hypertension and cardiovascular disease (CVD) [3], inducing arterial wall structural and functional changes thereby influencing arterial stiffness [4]. However, data on HHcy\u0026rsquo;s effects among the Black South African population are scarce. Determining HHcy's role in the heightened mortality, uncontrolled hypertension, and CVD in developing countries such as South Africa, also struggling with nutritional issues [5], is critical.\u003c/p\u003e \u003cp\u003eDiet is a modifier of Hcy concentrations. Determinants encompass protein, B vitamins, vegetables, fruits, omega 3 and 6 fatty acids, pulses, nuts, seeds and alcohol consumption, as previously reported [6\u0026ndash;8]. A diet impacting Hcy through these determinants suggests potential disease-prevention strategies [9,10]. Whether diet could be a possible means of influencing HHcy \u0026ndash; and by extension cardiovascular function and inflammation \u0026ndash; should be investigated while also considering genetic factors.\u003c/p\u003e \u003cp\u003eSeveral single nucleotide polymorphisms (SNPs) in the vitamin-regulated methylation pathway are relevant to Hcy. The methylenetetrahydrofolate reductase (\u003cem\u003eMTHFR\u003c/em\u003e) C677T polymorphism (rs1801133) causes a reduction in enzyme activity that impairs methionine metabolism, resulting in elevated Hcy. Other SNPs \u0026ndash; such as cystathionine β synthase (\u003cem\u003eCBS\u003c/em\u003e) T833C/844ins68 (rs5742905) and G9276A (a novel SNP) \u0026ndash; play a role in Hcy clearance whereas the methionine synthase (\u003cem\u003eMTR\u003c/em\u003e) A2756G (rs1805087) polymorphism promotes remethylation of Hcy to methionine, affecting Hcy concentrations.\u003c/p\u003e \u003cp\u003eThe etiology of hypertension and CVD remains unclear, highlighting the need for research on Hcy-related genes and their interaction with environmental factors, especially diet, in developing these conditions. This focus is crucial, as diet is one of the few easily modifiable factors. Here we report an advance in understanding how Hcy interacts with CVD risk markers overall but also in respect of the genetic make-up of individuals with the benefit of precision nutrition. To this end, we used arterial stiffness as indicated by carotid-radialis pulse wave velocity (cr-PWV), endothelial activation [indicated by circulating intercellular adhesion molecule-1 (ICAM-1) and vascular cell adhesion molecule-1 (VCAM-1)] and, also, pulse pressure (PP), heart rate (HR), systolic (SBP), and diastolic BP (DBP) as outcome variables when investigating interactions with Hcy subdivisions and manifesting genotypes for \u003cem\u003eMTHFR\u003c/em\u003e C677T, \u003cem\u003eMTR\u003c/em\u003e A2756G and \u003cem\u003eCBS\u003c/em\u003e T833C/844ins68 and G9276A. This work underscores the importance of including Hcy in hypertension screening and suggests personalized dietary advice for managing CVD risk among Black South Africans, considering individual Hcy concentrations, hypertension status and specific Hcy SNPs. This work highlights the potential of personalized dietary advice, based on individual Hcy concentrations and specific genetic profiles. This approach could improve the management of chronic conditions, particularly CVD risk and improve overall health outcomes in populations vulnerable to hypertension and cardiovascular issues..\u003c/p\u003e"},{"header":"2. Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1. Study design and participants\u003c/h2\u003e \u003cp\u003eThis cross-sectional study utilized baseline data from the South African arm of the Prospective Urban and Rural Epidemiology (PURE\u0026ndash;SA) study, part of a multinational cohort across 17 countries investigating risk factors for chronic diseases in transitioning communities [11]. Following an eligibility screening of 6,000 homes, Tswana-speaking South Africans over 35 from specific North West province areas, deemed healthy and not pregnant or lactating, were randomly selected for participation. Volunteers were informed in the language of their choice and required to provide signed informed consent before any data were acquired. Participants could withdraw or refuse any measurement at any stage of the study without consequence. For this investigation, only individuals who had BP and Hcy data were included for analyses (n\u0026thinsp;=\u0026thinsp;1,867). North-West University\u0026rsquo;s Health Research Ethics Committee approved the PURE\u0026ndash;SA and sub-study protocols (ethics numbers: 04M10 and NWU-00142-18-A1), adhering to the Declaration of Helsinki principles, ensuring voluntary participation, anonymity and confidentiality.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2. Questionnaires\u003c/h2\u003e \u003cp\u003eData on demographics and lifestyle were collected through interviews using standardized questionnaires by fieldworkers [11]. Food intake was assessed with quantitative food frequency questionnaires (QFFQs), validated against 7-day weighed food records and biomarkers [12], supplemented by food portion photograph books for accurate portion size reporting. QFFQ data were logged using FoodFinder3\u0026reg; [South African Medical Research Council (SAMRC), Tygerberg, 2007] and analyzed for nutrients by the SAMRC. Dietary supplement use was negligible and excluded from micronutrient intake calculations.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3. Anthropometric measures\u003c/h2\u003e \u003cp\u003eAnthropometric measurements, including height (IP 1465, Invicta, London, UK), weight (Precision Health Scale, A\u0026amp;D Company, Tokyo, Japan), hip (HC) and waist circumference (WC) (Lufkin steel tape, Cooper Tools, Apex, NC, USA), were obtained with calibrated instruments following the International Society for the Advancement of Kinanthropometry (ISAK) guidelines [13]. Body mass index (BMI) and waist-to-hip ratio (WHR) were calculated from height, weight (kg/m\u003csup\u003e2\u003c/sup\u003e), and circumferences, respectively.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4. Cardiovascular marker measurements\u003c/h2\u003e \u003cp\u003eTo ensure accuracy under standardized conditions [14], participants were instructed to avoid exercise, smoking, and caffeine use prior to measurements, and to observe a 5-minute rest. An Omron HEM-757 device (Omron Healthcare, Kyoto, Japan) measured brachial SBP, DBP, HR, and calculated PP in seated participants with their right arm at heart level. cr-PWV was assessed in a supine position on the left side using a Complior SP device (Artech-Medical, Pantin, France). Hypertension was diagnosed at BP\u0026thinsp;\u0026ge;\u0026thinsp;140/90 mmHg or with anti-hypertensive medication use [14, including thiazide diuretics, calcium channel blockers, and renin\u0026ndash;angiotensin system inhibitors. H-type hypertension was identified in hypertensive individuals with Hcy levels\u0026thinsp;\u0026ge;\u0026thinsp;10 \u0026micro;mol/l [15].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.5. Laboratory biochemical measurements\u003c/h2\u003e \u003cp\u003eVolunteers fasted overnight before a registered nurse collected blood samples from the antecubital vein before 11:00. Samples were centrifuged at 2,000 \u0026times; g for 15 min to separate serum, plasma, and buffy coat, then stored at \u0026minus;\u0026thinsp;80\u0026deg;C. Total plasma Hcy was measured using fluorescence polarization immunoassay [CV\u0026thinsp;=\u0026thinsp;4.52%] on an Abbott immunoassay analyzer (AxSYM, Abbott Laboratories, Abbott Park, IL, USA). Sequential multiple analyzers from Konelab 20i (Thermo Scientific, Vantaa, Finland) and Cobas Integra 400 Plus (Roche, Basel, Switzerland) analyzed biomarkers including high-sensitivity C-reactive protein (hsCRP), gamma-glutamyl transferase (GGT) and all blood lipids [high-density lipoprotein cholesterol (HDL-c), total cholesterol (TC) and triglycerides], with low-density lipoprotein cholesterol (LDL-c) calculated via the Friedewald\u0026ndash;Levy\u0026ndash;Fredrickson formula [16]. Fasting plasma glucose was determined by the SynchronR System (Beckman Coulter Co., Fullerton, CA, USA) hexokinase method, and fasting glycated hemoglobin A1c (HbA1c) by the Bio-Rad Laboratories (Hercules, CA, USA) D-10 system. Sandwich ELISAs (human sICAM-1 and human sVCAM-1 assay, IBL, Hamburg, Germany) measured serum ICAM-1 and VCAM-1 levels. Whole blood tested for HIV with the First Response HIV 1-2-0 test (Premier Medical Corporation Ltd, Daman, India), confirmed by the Pareeshak card test (BHAT Bio-tech, Bengaluru, India) if positive.\u003c/p\u003e \u003cp\u003eGenomic DNA was extracted from peripheral blood leukocytes using QIAGEN\u0026reg;, Flexigene\u0026reg; DNA kits (QIAGEN\u0026reg; Valencia, CA, USA; catalog number 51 206) and quantified by NanoDrop\u0026trade; spectrophotometry (ND-1000, Wilmington, DE, USA).Five Hcy-related SNPs; \u003cem\u003eMTHFR\u003c/em\u003e C677T (rs1801133), \u003cem\u003eCBS\u003c/em\u003e T833C (rs5742905), \u003cem\u003eCBS\u003c/em\u003e 844ins68 (indel, no rs#), \u003cem\u003eCBS\u003c/em\u003e G9276A (novel SNP, no rs#) and \u003cem\u003eMTR\u003c/em\u003e A2756G (rs1805087) were genotyped using polymerase chain reaction and restriction fragment length polymorphism methods to distinguish genotypes as described at length elsewhere [17].\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e2.6. Statistical analysis\u003c/h2\u003e \u003cp\u003eStatistica version 14.0 (TIBCO Software Inc., Tulsa, OK, USA) and R version 4.2.0 (R Foundation for Statistical Computing, Vienna, Austria; 2020) were used for data analysis. Shapiro\u0026ndash;Wilk W and Kolmogorov\u0026ndash;Smirnov tests assessed normality. Descriptive statistics for non-normal data were presented as medians and interquartile ranges, and for normal data as means\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviations. Normal and partial Spearman rank correlations (adjusting for age, WHR, HDL-c, and GGT) assessed Hcy\u0026rsquo;s relationship with dietary intake. Mann\u0026ndash;Whitney U tests compared dependent continuous variables across three groups (normal BP vs. hypertension, normal BP vs. H-type hypertension, hypertension vs. H-type hypertension). General linear models (GLMs) identified differences among low (\u0026lt;\u0026thinsp;7.0 \u0026micro;mol/l), normal (7.0\u0026ndash;12.0 \u0026micro;mol/l), and high (\u0026gt;\u0026thinsp;12.0 \u0026micro;mol/l) Hcy categories [18].\u003c/p\u003e \u003cp\u003eTo explore associations between CVD markers, dietary components, Hcy categories, BP categories, and Hcy-related genetic polymorphisms, factorial GLMs, adjusted for age, assessed interaction effects. The CBS T833C and CBS 844ins68 SNPs, being in complete linkage, were reported as CBS T833C/844ins68 [17]. Heterozygotes and homozygotes for variant alleles were combined following the dominant genetic mode. Partial Spearman correlations, adjusted for age and added sugar, analyzed relationships between CVD markers, dietary intake, BP sub-groups, Hcy sub-groups, and genotypes using this genetic coding.\u003c/p\u003e \u003cp\u003eFor general analyses, P\u0026thinsp;\u0026le;\u0026thinsp;0.05 indicated statistical significance. To address multiple testing and false discovery rates, Hochberg and Benjamini's method was applied. With a false discovery rate of 25%, considering 4 SNPs (CBS 833 SNP linked with 844ins68), subdivisions as 1, dietary intake categories as 5, and cardiovascular markers as 1 due to associations with dietary factors, the significance threshold was set at P\u0026thinsp;\u0026lt;\u0026thinsp;0.01 [1/((4\u0026thinsp;+\u0026thinsp;1)51))(.25)\u0026thinsp;=\u0026thinsp;0.01].\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e3.1. Characteristics compared across Hcy sub-groups and correlations with Hcy\u003c/h2\u003e \u003cp\u003eThe characteristics and differences across Hcy sub-groups are detailed in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. Most of the recruits presented with normal Hcy concentrations (56.7%), whereas 18.3% demonstrated low and 25.0% high levels. Age, HDL-c, and GGT increased over rising Hcy sub-groups. Furthermore, certain body composition variables were more favorable (weight, BMI, and WC decreased; HC and WHR increased) over sub-groups with increasing Hcy concentrations, these associations attenuated after adjusting for sex. A quarter of HIV-seroposiive individuals were in the low-Hcy category, whereas a quarter of those without the virus presented with high Hcy, resulting in frequency differences among the Hcy sub-groups. However, Hcy concentrations did not differ between those with or without HIV (P\u0026thinsp;=\u0026thinsp;0.99). Alcohol intake was greater in the high-Hcy category (17.2 g/d) \u0026ndash; more than double that of the low-Hcy category intake (8.14 g/d); this association remained after adjustments. Energy intake, total protein, animal protein, added sugar, and fat intake (including SFAs, MUFAs, PUFAs, omega-6 FAs, omega-3 FAs and cholesterol) were lower in the highest-Hcy category. Fruit and vegetable intake and B vitamins (biotin, pantothenic acid, vitamin B\u003csub\u003e6\u003c/sub\u003e, and vitamin B\u003csub\u003e12\u003c/sub\u003e) were also lowest in the high-Hcy group. For biotin and vitamin B\u003csub\u003e6\u003c/sub\u003e, those presenting with normal and high Hcy and for vitamin B\u003csub\u003e12\u003c/sub\u003e those with high Hcy, respectively, did not meet the recommended daily allowances (RDAs) of 30 \u0026micro;g, 1.3\u0026ndash;1.5 mg and 2.4 \u0026micro;g, respectively. For pantothenic acid, none of the Hcy sub-groups met the RDA of 5 mg, with the intake values declining over increasing Hcy sub-groups. Even though folate, niacin and riboflavin intake ranges did not differ among the Hcy sub-groups, no sub-group\u0026rsquo;s intake met the RDA of 400 \u0026micro;g, 1.1\u0026ndash;1.3 mg and 14.0\u0026ndash;16.0 mg, respectively, and tended to be lower over increasing Hcy sub-groups. Of the cardiovascular measures, SBP, DBP, PP, HR, and cr-PWV differed among the Hcy sub-groups, being higher in the HHcy sub-group with DBP and cr-PWV exceeding normal healthy ranges [14, 19].\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDemographic and dietary intake characteristics of participants among homocysteine sub-groups\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"3\" morerows=\"1\" nameend=\"c3\" namest=\"c1\" rowspan=\"2\"\u003e \u003cp\u003eVariables\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"4\" nameend=\"c7\" namest=\"c4\"\u003e \u003cp\u003eMedian (25th \u0026minus;\u0026thinsp;75th ), mean (\u0026plusmn;\u0026thinsp;SD) or n (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDifference among groups\u003c/p\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eWhole group\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,867)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eLow Hcy\u003c/p\u003e \u003cp\u003e(\u0026lt;\u0026thinsp;7.0 \u0026micro;mol/l)\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;341; 18.3%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNormal Hcy\u003c/p\u003e \u003cp\u003e(7.0\u0026ndash;12.0 \u0026micro;mol/l)\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,057; 56.7%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eHigh Hcy\u003c/p\u003e \u003cp\u003e(\u0026gt;\u0026thinsp;12.0 \u0026micro;mol/l)\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;469; 25.0%)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAge (year)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e48.0 (41.0\u0026ndash;56.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e44.0 (40.0\u0026ndash;51.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e48.0 (41.0\u0026ndash;56.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e51.0 (44.0\u0026ndash;60.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eSex\u003c/b\u003e, \u003cb\u003en\u003c/b\u003e \u003cb\u003e(%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eMale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e705\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e71 (10.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e392 (55.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e242 (34.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eFemale\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1162\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e270 (23.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e665 (57.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e227 (19.6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u003cb\u003eUrbanization level\u003c/b\u003e, \u003cb\u003en\u003c/b\u003e \u003cb\u003e(%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eUrban\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e910\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e193 (21.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e526 (57.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e191 (21.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eRural\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e957\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e148 (15.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e531 (55.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e278 (29.0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u003cb\u003eTobacco use\u003c/b\u003e, \u003cb\u003en\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eCurrent\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e73\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e10 (13.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e50 (68.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e13 (17.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eFormer\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e976\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e187 (19.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e525 (53.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e264 (27.0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eNever\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e809\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e143 (17.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e474 (58.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e192 (23.7)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"4\" rowspan=\"5\"\u003e \u003cp\u003e\u003cb\u003eAnthropometrical markers\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eWeight (kg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e60.2 (51.2\u0026ndash;72.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e61.8 (52.2\u0026ndash;75.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e60.3 (51.3\u0026ndash;74.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e57.4 (50.5\u0026ndash;67.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eBMI (kg/m\u003csup\u003e2\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23.0 (19.3\u0026ndash;28.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e24.1 (19.9\u0026ndash;30.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e23.3 (19.2 \u0026minus;\u0026thinsp;29.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e21.8 (18.8\u0026ndash;26.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eWaist circumference (cm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e77.45 (70.2\u0026ndash;87.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e78.4 (69.7\u0026ndash;89.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e77.4 (70.0\u0026ndash;88.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e76.9 (70.8\u0026ndash;84.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eHip circumference (cm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e93.13 (84.8\u0026ndash;106)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e96.3 (86.1\u0026ndash;109)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e93.8 (85.0\u0026ndash;106)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e90.0 (83.8\u0026ndash;101)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eWaist-to-hip ratio\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.83 (0.78\u0026ndash;0.88)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.82 (0.76\u0026ndash;0.87)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.83 (0.78\u0026ndash;0.88)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.85 (0.80\u0026ndash;0.89)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"11\" rowspan=\"12\"\u003e \u003cp\u003e\u003cb\u003eBiochemical markers\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eHIV status, \u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSero-negative\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1549\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e261 (16.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e872 (56.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e416 (26.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003csup\u003e\u0026euro;\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSero-positive\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e310\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e77 (24.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e183 (59.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e50 (16.2)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eStatus unknown\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3 (42.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2 (28.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2 (28.6)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eTC (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.82 (4.01\u0026ndash;5.87)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4.67 (3.85\u0026ndash;5.72)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.89 (4.05\u0026ndash;5.94)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e4.82 (40.6\u0026ndash;5.88)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eLDL-c (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.77 (2.07\u0026ndash;3.63)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.71 (2.08\u0026ndash;3.60)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.85 (2.15\u0026ndash;3.73)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.63 (1.91\u0026ndash;3.52)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eHDL-c (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.42 (1.06\u0026ndash;1.87)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.31 (0.97\u0026ndash;1.73)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.39 (1.06\u0026ndash;1.82)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.60 (1.15 \u0026minus;\u0026thinsp;2.16)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eTriglycerides (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.08 (0.82\u0026ndash;1.55)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.09 (0.81\u0026ndash;1.51)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.08 (0.82 \u0026minus;\u0026thinsp;1.54)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.06 (0.81 \u0026minus;\u0026thinsp;1.60)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eFasting glucose (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.80 (4.30\u0026ndash;5.30)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4.80 (4.30\u0026ndash;5.30)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.80 (4.30\u0026ndash;5.30)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e4.80 (4.20\u0026ndash;5.40)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eHbA1c (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.50 (5.30\u0026ndash;5.80)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5.50 (5.30\u0026ndash;5.90)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.60 (5.30 \u0026minus;\u0026thinsp;5.80)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e5.50 (5.20 \u0026minus;\u0026thinsp;5.80)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eGGT (\u0026micro;kat/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e46.0 (29.7\u0026ndash;88.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e39.0 (26.9\u0026ndash;66.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e43.1 (29.3\u0026ndash;73.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e63.3 (33.1\u0026ndash;153)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eHcy (\u0026micro;mol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9.18 (7.50\u0026ndash;12.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6.04 (5.47\u0026ndash;6.59)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e8.97 (8.03\u0026ndash;10.17)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e14.6 (13.0\u0026ndash;17.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eCRP (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.29 (0.96\u0026ndash;9.34)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.16 (0.84\u0026ndash;8.97)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.20 (0.95\u0026ndash;9.29)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.62 (1.15 \u0026minus;\u0026thinsp;9.87)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"6\" rowspan=\"7\"\u003e \u003cp\u003e\u003cb\u003eCardiovascular markers\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eSBP (mmHg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e130 (116\u0026ndash;147)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e126 (113\u0026ndash;142)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e128 (116\u0026ndash;145)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e138 (122\u0026ndash;154)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDBP (mmHg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e87.0 (78.0\u0026ndash;97.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e86.0 (76.5\u0026ndash;95.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e86.0 (77.0\u0026ndash;95.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e90.0 (81.0\u0026ndash;101)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003ePulse pressure (mmHg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e43.0 (35.0\u0026ndash;53.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e41.0 (34.0\u0026ndash;50.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e43.0 (36.0\u0026ndash;53.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e46.0 (37.0\u0026ndash;57.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eHeart rate (bpm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e72.0 (62.0\u0026ndash;84.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e71.5 (62.0\u0026ndash;84.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e70.0 (61.0\u0026ndash;82.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e77.0 (65.5\u0026ndash;88.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003ecr-PWV (m/s)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e10.9 (9.55\u0026ndash;12.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e10.6 (9.01\u0026ndash;11.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.8 (9.54\u0026ndash;12.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e11.2 (10.1\u0026ndash;12.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eICAM-1 (ng/ml)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e371 (234\u0026ndash;507)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e305 (216\u0026ndash;458)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e367 (227\u0026ndash;502)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e447 (289\u0026ndash;560)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.23\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eVCAM-1 (ng/mL)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e693 (390\u0026ndash;1279)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e662 (326\u0026ndash;1259)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e717 (391\u0026ndash;1301)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e706 (479\u0026ndash;1155)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"24\" rowspan=\"25\"\u003e \u003cp\u003e\u003cb\u003eDaily dietary intake markers\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eEnergy (kJ)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7175 (5268\u0026ndash;10001)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e7614 (5516\u0026ndash;10528)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e7125 (5195\u0026ndash;10025)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e6959 (5240\u0026ndash;9570)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.17\u003csup\u003e#\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eAlcohol intake (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11.8\u0026thinsp;\u0026plusmn;\u0026thinsp;27.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e8.14\u0026thinsp;\u0026plusmn;\u0026thinsp;20.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e11.1\u0026thinsp;\u0026plusmn;\u0026thinsp;22.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e17.2\u0026thinsp;\u0026plusmn;\u0026thinsp;28.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eProtein (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11.6 (10.4\u0026ndash;12.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e11.9 (10.7\u0026ndash;13.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e11.6 (10.3\u0026ndash;12.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e11.3 (10.3\u0026ndash;12.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eProtein intake (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e49.27 (34.8\u0026ndash;71.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e53.7 (35.5\u0026ndash;74.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e47.9 (34.8\u0026ndash;72.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e46.9 (34.0\u0026ndash;65.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.06\u003csup\u003e#\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003ePlant protein intake (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e28.9 (20.9\u0026ndash;38.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e29.8 (22.0\u0026ndash;39.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e28.4 (20.4\u0026ndash;37.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e28.6 (20.7\u0026ndash;38.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eAnimal protein intake (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e18.4 (10.1\u0026ndash;30.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e22.3 (11.7\u0026ndash;33.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e18.4 (10.2\u0026ndash;30.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e15.8 (9.00\u0026ndash;26.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eCarbohydrate (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e60.3 (54.2\u0026ndash;67.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e59.9 (53.9\u0026ndash;66.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e60.2 (54.6\u0026ndash;67.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e60.6 (53.7\u0026ndash;67.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.52\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eAdded sugar (%TCHO)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e15.2 (9.51\u0026ndash;21.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e15.6 (10.6\u0026ndash;22.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e15.6 (9.66\u0026ndash;22.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e13.8 (8.38\u0026ndash;19.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eTotal fat (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22.5 (17.4\u0026ndash;27.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e23.7 (18.8\u0026ndash;29.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e22.8 (17.7\u0026ndash;27.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e21.0 (15.6\u0026ndash;26.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eSFAs (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.29 (3.63\u0026ndash;7.06)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5.63 (4.16\u0026ndash;7.50)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.41 (3.71\u0026ndash;7.02)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e4.78 (3.02\u0026ndash;6.65)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eMUFAs (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.77 (3.75\u0026ndash;7.74)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6.18 (4.12\u0026ndash;8.18)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.89 (3.89 \u0026minus;\u0026thinsp;7.70)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e5.08 (3.29\u0026ndash;7.36)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003ePUFAs (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.78 (5.06\u0026ndash;8.60)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6.90 (5.15\u0026ndash;8.84)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e6.85 (5.13\u0026ndash;8.60)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e6.48 (4.65\u0026ndash;8.31)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.04*\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eOmega-6 FAs (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12.0 (6.98\u0026ndash;18.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e13.3 (7.67\u0026ndash;20.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e12.0 (7.75\u0026ndash;18.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e10.9 (6.17\u0026ndash;17.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eOmega-3 FAs (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.34 (0.20\u0026ndash;0.52)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.37 (0.23\u0026ndash;0.58)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.34 (0.20\u0026ndash;0.52)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.30 (0.18\u0026ndash;0.44)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eCholesterol (mg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e150 (80.0\u0026ndash;259)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e175 (87.5\u0026ndash;289)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e147 (77.7\u0026ndash;259)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e138 (78.5\u0026ndash;229)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDietary folate (\u0026micro;g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e356 (248\u0026ndash;481)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e373 (261\u0026ndash;488)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e350 (248\u0026ndash;487)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e354 (238\u0026ndash;474)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e1\u003c/sub\u003e (mg) (thiamine)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.49 (1.09\u0026ndash;2.05)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.56 (1.13\u0026ndash;2.10)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.45 (1.07\u0026ndash;2.04)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.54 (1.09\u0026ndash;2.05)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.77\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e2\u003c/sub\u003e (mg) (riboflavin)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.01 (0.65\u0026ndash;1.63)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.09 (0.69\u0026ndash;1.67)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.98 (0.64\u0026ndash;1.60)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.97 (0.68\u0026ndash;1.60)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.98\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDietary biotin (\u0026micro;g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e30.2 (19.1\u0026ndash;46.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e34.75 (20.5\u0026ndash;50.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e29.6 (18.8\u0026ndash;46.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e27.7 (18.4\u0026ndash;42.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDietary pantothenic acid (mg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.67 (2.21\u0026ndash;4.97)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.67 (2.36\u0026ndash;5.18)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.39 (2.18\u0026ndash;5.08)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.97 (2.10\u0026ndash;4.43)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e3\u003c/sub\u003e (mg) (niacin)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12.7 (8.88\u0026ndash;18.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e13.0 (9.30\u0026ndash;18.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e12.6 (8.72\u0026ndash;18.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e12.5 (8.94\u0026ndash;18.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.62\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e6\u003c/sub\u003e (mg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.29 (0.92\u0026ndash;1.84)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.43 (0.98\u0026ndash;1.97)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.25 (0.90\u0026ndash;1.84)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.26 (0.89\u0026ndash;1.73)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e12\u003c/sub\u003e (\u0026micro;g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.69 (1.23\u0026ndash;5.07)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.33 (1.51\u0026ndash;5.88)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.68 (1.18\u0026ndash;4.97)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.33 (1.13\u0026ndash;4.67)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eFruit and vegetables (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e86.6 (51.9\u0026ndash;154)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e95.4 (56.7\u0026ndash;174)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e87.9 (52.9\u0026ndash;152)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e79.6 (48.6\u0026ndash;135)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003ePulses, nuts and seeds (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.29 (0.00\u0026ndash;19.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4.29 (0\u0026ndash;21.43)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.00 (0.00\u0026ndash;19.57)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.57 (0.00\u0026ndash;16.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003eBMI, body mass index; CRP, C-reactive protein; cr-PWV, carotid-radial pulse wave velocity; DBP, diastolic blood pressure; GGT, gamma glutamyl transferase; Hcy, homocysteine; HDL-c, high-density lipoprotein cholesterol; HbA1c, glycated hemoglobin; HIV, human immunodeficiency virus; HR, heart rate; ICAM-1, intercellular adhesion molecule 1; LDL-c, low-density lipoprotein cholesterol; MUFAs, monounsaturated fatty acids; PP, pulse pressure; PUFAs, polyunsaturated fatty acids; SFAs, saturated fatty acids; SBP, systolic blood pressure; VCAM-1, vascular cell adhesion molecule 1.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003cem\u003en\u003c/em\u003e (%) calculated across rows for categorical variables.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003eCategorical variables: Pearson chi-squared test.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003eContinuous variables: GLM adjusted for age, WHR, GGT.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003e\u0026euro;\u003c/sup\u003eHcy concentrations did not differ between those with or without HIV (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.99).\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e*Lost significance after adjustment.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"8\"\u003e\u003csup\u003e#\u003c/sup\u003eBecame significant after adjustment.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows correlations between Hcy and various markers. Initially, Hcy positively correlated with age, WHR, HDL-c, GGT, some cardiovascular markers, and alcohol intake (all r\u0026thinsp;\u0026ge;\u0026thinsp;0.15), and negatively with most dietary intake markers (r\u0026thinsp;\u0026le;\u0026thinsp;0.15). In model 2, after adjusting for age, WHR, HDL-c, and GGT, excluding collinear variables, positive correlations remained for age, HDL-c, GGT and added sugar's percentage of total carbohydrate intake (all r\u0026thinsp;\u0026ge;\u0026thinsp;0.15). Post-adjustment, only Hcy and HR showed a weak correlation among cardiovascular markers.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCorrelations of Hcy with demographic, anthropometric, biochemical, CVD risk markers and diet\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eVariables\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eModel 1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eModel 2*\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eAnthropometrical markers\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBMI (kg/m\u003csup\u003e2\u003c/sup\u003e)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWaist circumference (cm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHip circumference (cm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.31\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWaist-to-hip ratio\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eBiochemical markers\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTC (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLDL-c (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHDL-c (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTriglycerides (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFasting glucose (mmol/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHbA1c (%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGGT (\u0026micro;kat/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCRP (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCardiovascular markers\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSBP (mmHg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.33\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDBP (mmHg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePulse pressure (mmHg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.89\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeart rate (bpm)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ecr-PWV (m/s)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eICAM-1 (ng/ml)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVCAM-1 (ng/ml)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDietary intake\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEnergy (kJ)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAlcohol intake (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eProtein (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.87\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eProtein intake (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePlant protein intake (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnimal protein intake (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCarbohydrate (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdded sugar (%TCHO)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal fat (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSFAs (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUFAs (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePUFAs (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOmega-6 FAs (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOmega-3 FAs (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCholesterol (mg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary folate (\u0026micro;g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e1\u003c/sub\u003e (mg) (thiamine)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e2\u003c/sub\u003e (mg) (riboflavin)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.003\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary biotin (\u0026micro;g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary pantothenic acid (mg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e3\u003c/sub\u003e (mg) (niacin)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e6\u003c/sub\u003e (mg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e12\u003c/sub\u003e (\u0026micro;g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFruit and vegetables (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePulses, nuts and seeds (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eBMI, body mass index; CRP, C-reactive protein; cr-PWV, carotid-radial pulse wave velocity; DBP, diastolic blood pressure; FA, fatty acid; GGT, gamma glutamyl transferase; HDL-c, high-density lipoprotein cholesterol; HbA1c, glycated hemoglobin; HR, heart rate; ICAM-1, intercellular adhesion molecule 1; LDL-c, low-density lipoprotein cholesterol; MUFAs, monounsaturated fatty acids; %TE, percentage total energy; %TCHO, percentage energy from carbohydrates; PUFAs, polyunsaturated fatty acids; PP, pulse pressure; SBP, systolic blood pressure; SFAs, saturated fatty acids; TC, total cholesterol; VCAM-1, vascular cell adhesion molecule1.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e*Partial Spearman correlations in Model 2 were adjusted for age, WHR, HDL-c and GGT, except for those where collinearity was of concern; age was not adjusted for itself; anthropometrical markers not for WHR; blood lipids not for HDL-c and alcohol intake and GGT were not adjusted for GGT.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e3.2. Daily dietary intake compared among blood pressure sub-groups\u003c/h2\u003e \u003cp\u003eTo explore the association between Hcy as well as its dietary determinants and BP as a cardiovascular risk factor, sub-groups for blood pressure (BP) were created including a group for H-type hypertension; differences are noted in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. While there is an age difference between normal BP and regular hypertension groups, it is not present between normal BP and H-type hypertension. Those with regular hypertension also presented with B-vitamin intake ranges meeting the RDAs except for folate and pantothenic acid, whereas those with H-type hypertension did not satisfy the RDAs except for thiamin and vitamin B\u003csub\u003e12\u003c/sub\u003e. The difference between the hypertension vs H-type hypertension groups' energy intake was not attributed to age, weight, GGT, alcohol, added sugar and carbohydrates alone or combined, but due to differences in either total protein or fat intake. Genotype frequency differences among BP subgroups are detailed in another study [20].\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDaily dietary intake of participants compared among blood pressure sub-groups\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"7\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDietary intake\u003c/p\u003e \u003cp\u003evariables\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e \u003cp\u003eMedian (25th \u0026minus;\u0026thinsp;75th ) or mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD or \u003cem\u003en\u003c/em\u003e (%)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e value for difference among BP sub-groups (Mann\u0026ndash;Whitney U)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNormal\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;1,044)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHypertension*\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;526)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eH-type\u003c/p\u003e \u003cp\u003ehypertension*\u003c/p\u003e \u003cp\u003e(\u003cem\u003en\u003c/em\u003e\u0026thinsp;=\u0026thinsp;425)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eNormal vs HTN\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNormal vs\u003c/p\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eHTN vs H-type HTN\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEnergy (kJ)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6,933 (5,111\u0026ndash;9,471)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7,833 (5,702\u0026ndash;11,226)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7,065 (5,248\u0026ndash;9,893)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAlcohol (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10.8\u0026thinsp;\u0026plusmn;\u0026thinsp;23.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.0\u0026thinsp;\u0026plusmn;\u0026thinsp;21.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e15.0\u0026thinsp;\u0026plusmn;\u0026thinsp;25.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eProtein (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11.5 (10.3\u0026ndash;12.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.5 (10.3\u0026ndash;12.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11.6 (10.4\u0026ndash;12.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eProtein (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e46.7 (33.9\u0026ndash;66.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e55.0 (37.9\u0026ndash;82.0)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e48.0 (34.4\u0026ndash;68.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePlant protein (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e28.5 (20.4\u0026ndash;37.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e30.5 (22.2\u0026ndash;41.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e28.0 (20.2\u0026ndash;38.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.62\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnimal protein (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e16.4 (9.01\u0026ndash;28.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e23.5 (12.6\u0026ndash;35.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e18.1 (10.6\u0026ndash;28.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCarbohydrate (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e61.5 (54.9\u0026ndash;68.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e58.5 (53.7\u0026ndash;65.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e60.1 (53.7\u0026ndash;66.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAdded sugar (%TCHO)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15.3 (9.59\u0026ndash;21.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e15.6 (10.0\u0026ndash;22.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e14.3 (8.83\u0026ndash;20.2)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal fat (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e21.9 (17.2\u0026ndash;27.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e23.8 (18.9\u0026ndash;28.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22.0 (17.2\u0026ndash;27)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSFAs (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5.10 (3.43\u0026ndash;7.00)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.71 (4.16\u0026ndash;7.25)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.16 (3.57\u0026ndash;7.01)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMUFAs (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5.43 (3.56\u0026ndash;7.61)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.38 (4.33\u0026ndash;8.18)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.60 (3.72\u0026ndash;7.55)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePUFAs (%TE)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6.73 (4.90\u0026ndash;8.66)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7.19 (5.40\u0026ndash;8.73)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.60 (5.06\u0026ndash;8.32)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOmega-6 FAs (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11.5 (10.3\u0026ndash;12.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14.4 (8.71\u0026ndash;21.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12.1 (10.4\u0026ndash;12.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOmega-3 FAs (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.32 (0.18\u0026ndash;0.49)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.39 (0.24\u0026ndash;0.59)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.32 (0.20\u0026ndash;0.49)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCholesterol (mg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e136 (74.0\u0026ndash;244)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e190 (94.4\u0026ndash;302)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e147 (81.0\u0026ndash;246)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary folate (\u0026micro;g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e353 (250\u0026ndash;468)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e372 (256\u0026ndash;523)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e344 (227\u0026ndash;477)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e1\u003c/sub\u003e (mg) (thiamine)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.48 (1.07\u0026ndash;1.98)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.53 (1.12\u0026ndash;2.29)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.47 (1.09\u0026ndash;2.07)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e2\u003c/sub\u003e (mg) (riboflavin)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.94 (0.63\u0026ndash;1.50)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.19 (0.71\u0026ndash;1.80)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.01 (0.67\u0026ndash;1.62)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary biotin (\u0026micro;g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e28.4 (18.7\u0026ndash;43.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e36.4 (20.8\u0026ndash;52.8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e29.4 (18.2\u0026ndash;43.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.36\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary pantothenic acid (mg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.13 (2.11\u0026ndash;4.71)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.01 (2.44\u0026ndash;5.65)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.11 (2.20\u0026ndash;4.75)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e3\u003c/sub\u003e (mg) (niacin)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12.0 (8.47\u0026ndash;17.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14.2 (9.93\u0026ndash;20.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12.6 (8.92\u0026ndash;18.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.98\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e6\u003c/sub\u003e (mg)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.26 (0.89\u0026ndash;1.75)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.42 (0.94\u0026ndash;2.12)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.27 (0.91\u0026ndash;1.75)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e12\u003c/sub\u003e (\u0026micro;g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.49 (1.12\u0026ndash;4.77)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.28 (1.47\u0026ndash;6.04)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.55 (1.28\u0026ndash;4.94)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFruit and vegetables (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e80.1 (48.9\u0026ndash;138)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e104 (61.9\u0026ndash;191)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e86.4 (50.6\u0026ndash;148)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePulses, nuts and seeds (g)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.93 (0.00\u0026ndash;18.9)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.71 (0.00\u0026ndash;21.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.86 (0.00\u0026ndash;17.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003eFA, fatty acid; MUFAs, monounsaturated fatty acids; %TE, percentage total energy; %TCHO, percentage energy from carbohydrates; PUFAs, polyunsaturated fatty acids; SFAs, saturated fatty acids; TC, total cholesterol.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"7\"\u003e*H-type hypertension is a subset of those presenting with both hypertension and Hcy\u0026thinsp;\u0026gt;\u0026thinsp;10.0 \u0026micro;mol/l and has thus been excluded from the hypertension group to ensure\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e3.3. Interactions with dietary intake in relation to cardiovascular markers\u003c/h2\u003e \u003cp\u003eIn Tables\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, \u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e and \u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e the interactions (P\u0026thinsp;\u0026le;\u0026thinsp;0.01) between the BP sub-groups, Hcy sub-groups or Hcy-related SNPs and dietary intake are presented in relation to cardiovascular markers.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBlood pressure category interactions with markers of nutritional status in relation to markers of cardiovascular function\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"9\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eInteractions with BP categories\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eInteraction \u003cem\u003ep\u003c/em\u003e value\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eGenetic\u003c/p\u003e \u003cp\u003ealleles\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eUnadjusted\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003eAdjusted for age\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e \u003cp\u003eAdjusted for age and added sugar\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to SBP\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eCholesterol\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e12\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.69\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to DBP\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e12\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.67\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.34\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to PP\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eProtein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.72\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.77\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eAnimal protein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.47\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.61\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to cr-PWV\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eAnimal protein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.98\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.69\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eCholesterol\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eSFAs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eMUFAs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eCarbohydrate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal BP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.59\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.72\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.65\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eH-type HTN\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.85\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"9\"\u003eHTN, hypertension; MUFAs, monounsaturated fatty acids; %TE, percentage of total energy intake; SFAs, saturated fatty acids.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"9\"\u003e\u003cem\u003ep\u003c/em\u003e values for interaction obtained via GLM adjusted for age. First \u003cem\u003er\u003c/em\u003e and \u003cem\u003eP\u003c/em\u003e value are for unadjusted Spearman correlations; second \u003cem\u003er\u003c/em\u003e and \u003cem\u003ep\u003c/em\u003e value are adjusted for age; third additionally adjusted for added sugar.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eHcy categories interactions with markers of nutritional status in relation to markers of cardiovascular function\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"9\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eInteractions with Hcy categories\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eInteraction \u003cem\u003eP\u003c/em\u003e value\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eHcy category\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eUnadjusted\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003eAdjusted for age\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e \u003cp\u003eAdjusted for age and added sugar\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to ICAM-1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eDietary biotin\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLow\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHigh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eFruit and vegetables\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLow\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHigh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.94\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to VCAM-1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003eFruit and vegetables\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"2\" rowspan=\"3\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eLow\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.31\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eNormal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHigh\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.003\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"9\"\u003e\u003cem\u003eP\u003c/em\u003e values for interactions obtained \u003cem\u003evia\u003c/em\u003e GLM adjusted for age. First \u003cem\u003er\u003c/em\u003e and \u003cem\u003eP\u003c/em\u003e value are for unadjusted Spearman correlations; second \u003cem\u003er\u003c/em\u003e and \u003cem\u003eP\u003c/em\u003e value are adjusted for age; third additionally adjusted for added sugar.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cem\u003eMTHFR, MTR\u003c/em\u003e and \u003cem\u003eCBS\u003c/em\u003e gene polymorphisms\u0026rsquo; interactions with markers of nutritional status in relation to markers of cardiovascular function\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"9\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eInteraction \u003cem\u003ep\u003c/em\u003e value\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eGenetic alleles\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e \u003cp\u003eUnadjusted\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e \u003cp\u003eAdjusted for age\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e \u003cp\u003eAdjusted for age and added sugar\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u003cem\u003er\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u003cem\u003ep\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eInteractions with\u003c/b\u003e \u003cb\u003eMTHFR C677T\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to cr-PWV\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eAdded sugar\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCT/TT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.87\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026ndash;\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to VCAM-1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e12\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.73\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.98\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eCT/TT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.68\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.69\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eInteractions with\u003c/b\u003e \u003cb\u003eCBS T883C/ins68\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to cr-PWV\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003ePlant protein intake\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.67\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e1\u003c/sub\u003e (thiamine)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.43\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e6\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003ePUFAs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.52\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to VCAM-1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eEnergy intake\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.33\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eProtein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.38\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eAnimal protein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e3\u003c/sub\u003e (niacin)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.37\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDietary pantothenic acid\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.003\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eOmega-3 FAs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.002\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.97\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.89\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eTC/CC\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eInteractions with\u003c/b\u003e \u003cb\u003eCBS G9276A\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to VCAM-1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eEnergy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGA/AA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003ePlant protein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGA/AA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e3\u003c/sub\u003e (niacin)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGA/AA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eInteractions with\u003c/b\u003e \u003cb\u003eMTR A2756G\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to cr-PWV\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eSFAs\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.0001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAG/GG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to ICAM-1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eAlcohol intake\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAG/GG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003ein relation to VCAM-1\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eEnergy\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAG/GG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eTotal protein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAG/GG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u0026ndash;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e\u0026ndash;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.85\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003ePlant protein\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.0.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAG/GG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026ndash;0.001\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDietary vitamin B\u003csub\u003e6\u003c/sub\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAG/GG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.04\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003eDietary folate\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAG/GG\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"9\"\u003eFAs, fatty acids; %TCHO, percentage of total carbohydrate energy; %TE, percentage total energy; PUFAs, polyunsaturated fatty acids; SFAs, saturated fatty acids.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"9\"\u003e\u003cem\u003eP\u003c/em\u003e values for interactions obtained \u003cem\u003evia\u003c/em\u003e GLM adjusted for age, but the interaction with cr-PWV is additionally adjusted for mean arterial pressure. First \u003cem\u003er\u003c/em\u003e and \u003cem\u003eP\u003c/em\u003e values are for unadjusted Spearman correlations; second \u003cem\u003er\u003c/em\u003e and \u003cem\u003eP\u003c/em\u003e values are adjusted for age, third additionally adjusted for added sugar.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cdiv id=\"Sec13\" class=\"Section3\"\u003e \u003ch2\u003e3.3.1. BP sub-group interactions\u003c/h2\u003e \u003cp\u003eFor those within the normal BP range, cholesterol intake had a positive relationship with SBP. Furthermore, dietary vitamin B\u003csub\u003e12\u003c/sub\u003e intake had a protective inverse relationship with DBP in those with hypertension. Total protein, as a percentage of energy, linearly associated with PP in hypertensives and H-type hypertensives; animal protein showed a stronger positive correlation with PP in H-type hypertensives than in other BP categories, but inversely with cr-PWV in normal BP individuals. Consumption of SFAs showed negative associations with cr-PWV across all BP subdivisions, with H-type hypertension manifesting a slightly stronger correlation. MUFAs intake also displayed a negative linear association between cr-PWV in those with normal BP and H-type hypertension, and borderline associations with the hypertension groups as well. All correlations with BP sub-groups, except those with MUFAs intake in normotensives, became inconsequential after adjusting for age; after additionally adjusting for added sugar intake, this association became borderline as well.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec14\" class=\"Section3\"\u003e \u003ch2\u003e3.3.2. Hcy sub-group interactions\u003c/h2\u003e \u003cp\u003eThose presenting with Hcy concentrations within the normal ranges had a borderline positive association with biotin and a positive association between fruit and vegetable intake in relation to ICAM-1, whereas no association was observed in the other sub-groups. Partial Spearman correlations, after adjusting for age and then age plus added sugar, revealed stronger biotin associations and consistent positive relations with fruit/vegetable intake. Yet, significance vanished after adjusting interactions for added sugar.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section3\"\u003e \u003ch2\u003e3.3.3. Hcy-related polymorphism interactions\u003c/h2\u003e \u003cp\u003eAdded sugar displayed a nuanced relationship with cr-PWV among \u003cem\u003eMTHFR\u003c/em\u003e genotypes, showing a stronger negative association in variant allele carriers compared to wildtype homozygotes at the 677 locus. Adjusting for fruit/vegetable intake and age nullified the significance.\u003c/p\u003e \u003cp\u003e \u003cem\u003eCBS\u003c/em\u003e T883C/ins68 TT genotype carriers showed a notable inverse correlation with cr-PWV and PUFAs intake, not altered by age or added sugar, strengthening post-adjustment. In individuals with the TT genotype of \u003cem\u003eCBS\u003c/em\u003e T883C/ins68, there was a positive correlation between thiamine intake and cr-PWV, while no significant correlation was observed in individuals with other genotypes After adjusting for added sugar, the interaction and sub-group correlations with thiamine were no longer significant. In those harboring the variant allele of \u003cem\u003eCBS\u003c/em\u003e T883C/ins68, there was a positive linear association, even after additional adjustment, between energy consumption and VCAM-1, whereas in those harboring the wildtype allele no association was observed. The homozygote major G allele carriers of the \u003cem\u003eCBS\u003c/em\u003e 9276 genotype also had strong positive correlations between VCAM-1 and energy as well as plant protein consumption only after adjusting for age and added sugar intake.\u003c/p\u003e \u003cp\u003eFor \u003cem\u003eMTR\u003c/em\u003e A2756G homozygote AA genotypes, a negative linear association between cr-PWV and SFAs intake persisted after adjusting for fruit and vegetable intake but disappeared with PUFAs adjustment. Age and added sugar adjustments further attenuated correlations. The minor G allele carriers exhibited a positive association between ICAM-1 and alcohol intake only after adjusting for age and added sugar. Total, plant proteins, vitamin B\u003csub\u003e6\u003c/sub\u003e, and folate intake positively correlated with VCAM-1 in AA genotypes. For heterozygotes and GG carriers, folate showed the strongest positive correlation with VCAM-1. Post-adjustment for age and added sugar, protein and folate associations persisted, while vitamin B\u003csub\u003e6\u003c/sub\u003e's became borderline.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eIn this study we considered diet interactions across three sub-groups: 1) normal BP, hypertension, and Hcy-related hypertension (H-type); 2) low, normal, and high Hcy levels; and 3) various Hcy-related genotypes. We observed that those with HHcy expressed more favorable energy and macronutrient intake and body composition measures than those with normal and low-Hcy concentrations. However, hyperhomocysteinemic individuals reported noticeably higher alcohol and lower fruit and vegetable intake, possibly contributing to their inadequate vitamin status and higher CVD measures. There were more men than women in the HHcy category and, after accounting for sex, the body composition associations disappeared, although differences in alcohol and diet intake remained noteworthy. Moreover, 9 in 10 of those with HHcy also presented with hypertension (H-type) and when compared with the regular hypertension sub-group, H-type hypertensives recorded higher alcohol intake and lower fruit and vegetable consumption, including lower folate and other B vitamins intake, than those with hypertension alone. To complement our investigation, we report below on specific dietary aspects of BP categories, Hcy categories and Hcy-related genetic characteristics that associate with cardiovascular functional measures and CVD risk in a population already at a high risk.\u003c/p\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003e4.1. Blood pressure categories, dietary intake and cardiovascular function markers\u003c/h2\u003e \u003cp\u003eBP measurement, an affordable, non-invasive tool, helps healthcare professionals detect and manage chronic conditions and is a step that could complement personalized nutrition. Yet, guidelines overlook H-type hypertension, which could significantly impact hypertension management and precision nutrition. We advise everyone, particularly individuals with hypertension, to consume adequate vitamin B\u003csub\u003e12\u003c/sub\u003e. Research on the direct effects of vitamin B\u003csub\u003e12\u003c/sub\u003e intake and BP are scarce [21]; the most plausible link is through the Hcy folate\u0026ndash;vitamin B\u003csub\u003e12\u003c/sub\u003e dependent and independent remethylation metabolism, in which a reduced vitamin B\u003csub\u003e12\u003c/sub\u003e intake results in higher Hcy concentrations and thereby raised hypertension and CVD risk.\u003c/p\u003e \u003cp\u003eWe also advise individuals with regular and H-type hypertension to monitor their total protein intake, as it may raise PP, especially advising caution with animal protein for those with H-type, given PP's significance in CVD risk [22]. The 10-year Zutphen study on Dutch middle-aged men showed no link between PP and dietary protein intake [22]. Conversely, a study of younger (\u0026lt;\u0026thinsp;30 years) white and Black South Africans revealed that despite lower total and animal protein intake among Blacks, they had higher serum protein levels [23]. The authors suggested this could stem from heightened protein catabolism or enhanced endogenous amino acid biosynthesis, potentially increasing collagen to mitigate early vascular aging risk. Given our older hypertensive and H-type participants, they might experience elevated PP from higher protein consumption. However, in individuals with normal BP, increased animal protein intake seemingly did not adversely affect arterial function.\u003c/p\u003e \u003cp\u003eMUFA consumption was positively associated with arterial function in all BP sub-groups, particularly in normal and H-type hypertension. The negative correlations between SFA intake and cr-PWV may stem from MUFAs and SFAs collinearity, as adjusting for MUFAs intake weakened these associations. Despite mixed evidence on MUFAs and vascular health, beneficial impacts on serum lipids, BP, and E-selectin suggest a lower CVD risk [24]. Further intervention studies are essential to substantiate MUFA intake recommendations and elucidate underlying mechanisms.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003e4.2. Hcy categories, daily dietary intake and markers of cardiovascular function\u003c/h2\u003e \u003cp\u003eHcy measurements are more invasive and elective than recording BP but should be regarded as a necessary step in the approach to personalized nutrition, particularly in cardiovascular health. Incorporating Hcy screening into hypertension guidelines could differentiate between regular and H-type hypertension for targeted treatment.\u003c/p\u003e \u003cp\u003eBiotin, known for immunoregulatory properties affecting proinflammatory cytokine expression, which in turn induces ICAM-1 and VCAM-1 expression [25], showed positive correlations with Hcy in \u003cem\u003eCBS\u003c/em\u003e T833C minor allele carriers [6]. However, research to confirm a direct relationship between dietary biotin and ICAM-1 remains to be done. We revealed that the positive associations between ICAM-1 and biotin get stronger when accounting for age more so than sugar in those with normal Hcy concentrations. It seems that the association between ICAM-1 and fruit and vegetable intake in the same Hcy group was unaffected by either. Notably, biotin and fruit/vegetable consumers ingested more added sugar and significance diminished after adjusting for sugar interactions.\u003c/p\u003e \u003cp\u003eFructose induces ICAM-1 expression by diminishing endothelial nitric oxide and depleting adenosine triphosphate, leading to vascular cell inflammation [26]. Habitually high intake of carbohydrates, simple sugars, and fructose in particular, contributes to insulin resistance, weight gain and increased BP [27]. Some studies speculate that insulin resistance also produces a drop in methionine transmethylation, hepatic Hcy trans-sulphuration and Hcy clearance, resulting in raised concentrations of circulating Hcy [28, 29]. In Black South Africans, higher socio-economic status improves micronutrient intake through better access to fruits, vegetables, pulses, nuts, and seeds [11, 30] but also raises added sugar and SFA consumption, heightening non-communicable disease risks like CVD [31]. We, therefore, advise an adequate intake of fruit and vegetables, but caution against the accompanying consumption of added sugar.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003e4.3. Hcy-related genetic SNPs, daily dietary intake and markers of cardiovascular function and inflammation\u003c/h2\u003e \u003cp\u003e Incorporating genomic testing into CVD and hypertension guidelines could enhance personalized nutrition strategies, emphasizing the role of Hcy-related genetic polymorphisms in dietary impacts on cardiovascular health, particularly for H-type hypertension sufferers.\u003c/p\u003e \u003cp\u003eThe relationship between sugar, SFAs and fruit and vegetable intake could explain the disappearance of the inverse association between added sugar and cr-PWV in variant allele carriers, which was stronger than in those homozygous for the wildtype allele at the 677 locus, after accounting for fruit and vegetable intake. It could also help clarify why, after adjusting for sugar intake, the folate and VCAM-1 relationships disappeared in those carrying the \u003cem\u003eMTR\u003c/em\u003e 2756 minor A genotype. The same can be said for positive associations betweenVCAM-1 and \u003cem\u003eMTR\u003c/em\u003e 2756 major allele carriers for vitamin B\u003csub\u003e6\u003c/sub\u003e intake. Lastly, the intake of thiamine, a precursor of coenzymes in sugar and amino acid catabolism, led to higher cr-PWV in the TT carriers \u003cem\u003eCBS\u003c/em\u003e T883C/ins68 with the interactions disappearing after adjusting for added sugar. It seems therefore that an improved micronutrient status should be accompanied by a balanced, prudent diet of lower added sugar and fructose intake.\u003c/p\u003e \u003cp\u003ecr-PWV was inversely associated with lower PUFA intake in those harboring the TT genotype of \u003cem\u003eCBS\u003c/em\u003e T883C/ins68. A previous intervention study reported that daily supplementation of 4,000 mg of omega-3 for 12 weeks decreased carotid-femoral PWV in older, but not younger, healthy adults independent of the effects on BP or arterial wave reflections [32]. The mechanism by which omega-3 PUFAs influence endothelial function (PWV) is mediated by their integration into the phospholipids of biological membranes, so affecting their fluidity. This interaction leads omega-3 PUFAs to bring about their beneficial effects such as increased nitric oxide production and reduced expression of proinflammatory mediators [33]. Despite the study population\u0026rsquo;s unusually low intake of omega-3 PUFAs, the beneficial implications should not be disregarded. A longitudinal PURE-SA study also found an inverse relationship between omega-6 PUFAs, SBP, and DBP [34], suggesting protective effects may highlight omega-6 long-chain products' role in physiological functions among those with limited omega-3 consumption. The inverse association between SFAs intake and cr-PWV in those harboring \u003cem\u003eMTR\u003c/em\u003e 2756AA could possibly be explained by the accompanying PUFAs intake.\u003c/p\u003e \u003cp\u003eEnergy consumption was positively associated with VCAM-1 in \u003cem\u003eCBS\u003c/em\u003e T883C/ins68 minor allele carriers and \u003cem\u003eCBS\u003c/em\u003e 9276 homozygote major allele carriers. However, after adjustment for total carbohydrate intake the interaction disappeared, hinting at a potential link between energy from carbohydrates. Data on the relationship between energy intake and VCAM-1 are scarce. The additional adjustment for total carbohydrate intake that negated the interaction could be explained by the release of VCAM-1 in a dose-dependent manner when energy from carbohydrates increased glucose levels, as illustrated in a previous \u003cem\u003ein vitro\u003c/em\u003e experiment using different doses of glucose in human umbilical vein endothelial cells (HUVECs) [35].\u003c/p\u003e \u003cp\u003ePositive linear associations between plant protein intake and VCAM-1 were observed in those harboring homozygote major alleles for \u003cem\u003eCBS\u003c/em\u003e 9276 and/or \u003cem\u003eMTR\u003c/em\u003e 2756, associations that remained after adjustments. However, an inverse relationship was observed for total protein intake and the \u003cem\u003eMTR\u003c/em\u003e 2756 major homozygote AA carriers, suggesting a beneficial relationship. This is supported by previous studies that reported on animal and plant protein intake that decreased VCAM-1 expression in both unstimulated and stimulated HUVECs [36] as well as vascular endothelial cells [37]. The type of protein and concomitant nutrients could contribute to some of the different outcomes observed here.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec20\" class=\"Section2\"\u003e \u003ch2\u003e4.4. Recommendations for precision nutrition\u003c/h2\u003e \u003cp\u003e International nutrition and hypertension guidelines offer general recommendations to prevent and manage cardiovascular risk [14, 38]. Although most guidelines are proposed for application across the larger population, and do not currently account for Hcy or H-type hypertension, our personalised nutrition approach still supports and fits within the following general guidelines: 1) lowered sugar intake; 2) sufficient intake of fruit and vegetables; 3) moderate intake of animal products; and 4) an adequate intake of healthy fats. We found that added sugar intake should be limited in those with seemingly normal Hcy or those carrying the T allele at \u003cem\u003eMTHFR\u003c/em\u003e 677, to avoid possible detrimental associations with vascular activation (ICAM-1) and vascular function (cr-PWV). Reducing energy and sugar intake benefits \u003cem\u003eCBS\u003c/em\u003e T883C/ins68 minor allele and \u003cem\u003eCBS\u003c/em\u003e 9276 GG homozygote carriers regarding endothelial activation. Our results endorse consuming fruits and vegetables for their vitamin content, highlighting vitamin B\u003csub\u003e12\u003c/sub\u003e's role in DBP management and meeting the RDA for those with hypertension. Achieving optimal vitamin status, particularly through fruits and vegetables, supports arterial health. Animal products, high in cholesterol and SFAs, should be consumed sparingly to manage SBP and PP, with a particular focus on animal protein for H-type hypertensives. Carriers of the \u003cem\u003eMTR\u003c/em\u003e 2756 AA and \u003cem\u003eCBS\u003c/em\u003e 9276 GG genotypes, on the other hand, should be sensible when consuming plant protein \u0026ndash; lower rather than higher consumption could be beneficial in terms of vascular-related inflammation and atherosclerosis. Lastly, our results support an adequate intake of healthy fats such as PUFAs and MUFAs. Sufficient consumption of PUFAs is advised for carriers of the TT genotype of \u003cem\u003eCBS\u003c/em\u003e T883C/ins68, owing to their positive influence on cr-PWV. We encourage also the intake of MUFAs within the normal ranges for all BP groups to ensure optimal cr-PWV and arterial wall function. Furthermore, dietary management is an alternative treatment avenue that could be explored for those who are resistant to traditional hypertensive drugs.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec21\" class=\"Section2\"\u003e \u003ch2\u003e4.5. Limitations and strengths\u003c/h2\u003e \u003cp\u003eThe study's large population allowed detection of changes in cardiovascular function and gene\u0026ndash;diet interactions, but a larger sample could better account for low-frequency SNPs. Due to its cross-sectional design, only associations were observed without causal inference. Recall bias in dietary assessment via the QFFQ may lead to under- or overreporting. For more precise results, we suggest using biochemical vitamin measures to capture absorption, metabolism and bioavailability, which dietary questionnaires overlook. Future research should conduct dietary supplementation trials by genotype and BP sub-groups to test their effectiveness. Additional cardiovascular markers such as carotid-femoral PWV, a \u0026ldquo;gold standard\u0026rdquo; measure for arterial stiffness, and intima media thickness should also be included in future research.\u003c/p\u003e \u003c/div\u003e"},{"header":"5. Conclusions","content":"\u003cp\u003eThis study contributes to understanding Hcy-related nutrigenetics and cardiovascular health in Black South Africans, a group where gene\u0026ndash;diet interactions with Hcy, BP, and cardiovascular markers are underexplored. We have shown that measures of dietary intake are associated with Hcy categories, BP groupings and specific CVD risk markers when considering SNPs. We also identified differences between regular hypertension and H-type hypertension. Although these findings are promising, it is important to acknowledge that personalized strategies may be accessible to only certain socio-economic sections of a population, which could exacerbate health disparities. Personalized nutrition should be embedded within a broad-based nutritional setting and supported by evidence-based regulations, policies and population-dependent approaches, which is not generally the case in certain communities of a low-middle-income country like South Africa. In an ideal setting, before a precision approach can be implemented, we propose that: 1) Hcy screening be included in hypertension and CVD diagnosis; 2) H-type hypertension be recognized as a category of hypertension during disease prevention, management and treatment; 3) Hcy/gene\u0026ndash;diet relationships with BP and cardiovascular measures, as presented here, be further explored as a means holding much promise with regard to improving cardiovascular health through personalized nutrition. The success of such an approach depends on its integration into a well-supported healthcare framework that addresses the broader social and economic challenges faced by the target population.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eEthics approval and consent to participate: The Health Research Ethics Committee at North-West University approved the PURE-SA study protocols (ethics numbers: 04M10 and NWU-00142-18-A1) Informed consent was obtained from all subjects involved in the study ensuring voluntary participation as well as the anonymity and confidentiality of the participants and their data.\u003c/p\u003e\n\u003cp\u003eConsent for publication: Not applicable.\u003c/p\u003e\n\u003cp\u003eAvailability of data and materials: The data that support the findings of this study are available upon reasonable request and with the permission of the Health Research Ethics Committee of the North-West University and the principal investigator of the PURE-SA-NW study, Prof. Cristian Ricci ([email protected]) at the North-West University\u0026rsquo;s Africa Unit for Transdisciplinary Health Research.\u003c/p\u003e\n\u003cp\u003eDeclarations of interest or competing interests: none.\u003c/p\u003e\n\u003cp\u003eFunding: The research reported here did not receive any specific grant because it was a secondary analysis of previously collected data. A special mention to the South African Medical Research Council (SAMRC) for granting J.P.dP. a scholarship through its Division of Research Capacity Development under the Bongani Mayosi National Health Scholars Programme from funding received from the Public Health Enhancement Fund/South African National Department of Health. Disclosure Statement: The funders had no role in the study design, data collection or analysis, decision to publish, or preparation of the manuscript, whose content is the sole responsibility of the authors and does not necessarily represent the official views of the funding agencies.\u003c/p\u003e\n\u003cp\u003eAuthors\u0026rsquo; Contributions: Conceptualization C.N-R.; methodology, J.P.dP., C.N-R., L.L. and A.E.S; validation, J.P.dP., L.L., A.E.S and C.N-R.; formal analysis, J.P.dP. and C.N-R.; investigation, J.P.dP. and C.N-R.; resources, L.L., A.E.S and C.N-R.; data curation, C.N-R., L.L. and A.E.S.; writing\u0026mdash;original draft preparation, J.P.dP. and C.N-R.; writing\u0026mdash;review and editing, J.P.dP, L.L., A.E.S and C.N-R.; visualization, J.P.dP. and C.N-R.; supervision, C.N-R.; funding acquisition, C.N-R. and A.E.S. All authors have read and agreed to the published version of the manuscript.\u003c/p\u003e\n\u003cp\u003eAcknowledgments: We appreciate all contributors, participants and supporting staff of the PURE-SA research team; we especially thank Professor Annamarie Kruger (posthumous); all the fieldworkers and the office personnel of the Africa Unit for Transdisciplinary Health Research (AUTHeR) in the Faculty of Health Sciences of NWU; the PURE-International research team, office personnel and leader Dr. Yusuf and the PURE study.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eSmith AD, Refsum H. Homocysteine\u0026ndash;from Disease Biomarker to Disease Prevention. J Intern Med. 2021, 90, 826-54. doi.org/10.1111/joim.13279\u003c/li\u003e\n\u003cli\u003eFan R, Zhang A, Zhong F. Association between Homocysteine Levels and All-Cause Mortality: A Dose-Response Meta-Analysis of Prospective Studies. Sci Rep. 2017, 7, 1-9. doi:10.1038/s41598-017-05205-3\u003c/li\u003e\n\u003cli\u003eZhong F, Zhuang L, Wang Y, Ma Y. Homocysteine Levels and Risk of Essential Hypertension: A Meta-Analysis of Published Epidemiological Studies. Clin Exp Hypertens. 2017, 39, 160-7. doi.org/10.1080/10641963.2016.1226888\u003c/li\u003e\n\u003cli\u003eChen L, Wang B, Wang J, Ban Q, Wu H, Song Y, Zhang J, Cao J, Zhou Z, Liu L, Cao T. Association between Serum Total Homocysteine and Arterial Stiffness in Adults: A Community‐Based Study. J Clin Hypertens. 2018, 20, 686-93. doi.org/10.1111/jch.13246\u003c/li\u003e\n\u003cli\u003eSchutte AE, Srinivasapura Venkateshmurthy N, Mohan S, Prabhakaran D. Hypertension in Low-and Middle-Income Countries. Circ Res. 2021, 128, 808-26. doi.org/10.1161/CIRCRESAHA.120.318729\u003c/li\u003e\n\u003cli\u003eDu Plessis JP, Melse-Boonstra A, Zandberg L, Nienaber-Rousseau C. Gene Interactions Observed with the HDL-C Blood Lipid, Intakes of Protein, Sugar and Biotin in Relation to Circulating Homocysteine Concentrations in a Group of Black South Africans. Mol Genet Metab Rep. 2020, 22, e100556. doi.org/10.1016/j.ymgmr.2019.100556\u003c/li\u003e\n\u003cli\u003eNienaber-Rousseau C. Dietary Strategies to Treat Hyperhomocysteinaemia Based on the Biochemistry of Homocysteine: A Review. South Afr J Clin Nutr. 2014, 27, 93-100. doi: 10.1080/16070658.2014.11734495\u003c/li\u003e\n\u003cli\u003eNienaber-Rousseau C, Pisa PT, Venter CS, Ellis SM, Kruger A, Moss SJ, Melse-Boonstra A, Towers GW. Nutritional Genetics: The Case of Alcohol and the Mthfr C677t Polymorphism in Relation to Homocysteine in a Black South African Population. J Nutrigenet Nutrigenomics. 2013, 6, 61-72. doi.org/10.1159/000348839\u003c/li\u003e\n\u003cli\u003eChen L, Li Q, Fang X, Wang X, Min J, Wang F. Dietary Intake of Homocysteine Metabolism-Related B-Vitamins and the Risk of Stroke: A Dose-Response Meta-Analysis of Prospective Studies. Adv Nutr. 2020, 11, 1510-28. doi.org/10.1093/advances/nmaa061\u003c/li\u003e\n\u003cli\u003eMcNulty H, Strain J, Hughes CF, Ward M. Riboflavin, Mthfr Genotype and Blood Pressure: A Personalized Approach to Prevention and Treatment of Hypertension. Mol Aspects Med. 2017, 53, 2-9. doi.org/10.1016/j.mam.2016.10.002\u003c/li\u003e\n\u003cli\u003eTeo K, Chow C, Vaz M, Rangarajan S, Yusuf S. The Prospective Urban Rural Epidemiology (Pure) Study: Examining the Impact of Societal Influences on Chronic Noncommunicable Diseases in Low-, Middle-, and High-Income Countries. Am Heart J. 2009, 158, 1-7. doi.org/10.1016/j.ahj.2009.04.019\u003c/li\u003e\n\u003cli\u003eMacIntyre U, Venter C, Vorster H. A Culture-Sensitive Quantitative Food Frequency Questionnaire Used in an African Population: 2. Relative Validation by 7-Day Weighed Records and Biomarkers. Public Health Nutr. 2001, 4, 63-71. doi.org/10.1079/PHN200041\u003c/li\u003e\n\u003cli\u003eMarfell-Jones M, Stewart A, Olds T. Kinanthropometry Ix, 1st ed.; Taylor \u0026amp; Francis: New York, NY, USA, 2006; pp.11-128.\u003c/li\u003e\n\u003cli\u003eUnger T, Borghi C, Charchar F, Khan NA, Poulter NR, Prabhakaran D, Ramirez A, Schlaich M, Stergiou GS, Tomaszewski M, Wainford RD. 2020 International Society of Hypertension Global Hypertension Practice Guidelines. Hypertens. 2020, 75, 1334-57. https://doi.org/10.1161/HYPERTENSIONAHA.120.15026\u003c/li\u003e\n\u003cli\u003eLi J, Jiang S, Zhang Y, Tang G, Wang Y, Mao G, Li Z, Xu X, Wang B, Huo Y. H-type hypertension and risk of stroke in Chinese adults: a prospective, nested case\u0026ndash;control study. J Transl Int Med. 2015, 3, 171\u0026ndash;78. doi:10.1515/jtim-2015-0027.\u003c/li\u003e\n\u003cli\u003eFriedewald WT, Levy RI, Fredrickson DS. Estimation of the Concentration of Low-Density Lipoprotein Cholesterol in Plasma, without Use of the Preparative Ultracentrifuge. Clin Chem. 1972, 18, 499-502. doi.org/10.1093/clinchem/18.6.499\u003c/li\u003e\n\u003cli\u003eNienaber-Rousseau C, Ellis SM, Moss SJ, Melse-Boonstra A, Towers GW. Gene\u0026ndash;Environment and Gene\u0026ndash;Gene Interactions of Specific Mthfr, Mtr and Cbs Gene Variants in Relation to Homocysteine in Black South Africans. Gene. 2013, 530, 113-8. doi.org/10.1016/j.gene.2013.07.065 \u003c/li\u003e\n\u003cli\u003eKarger AB, Steffen BT, Nomura SO, Guan W, Garg PK, Szklo M, Budoff MJ, Tsai MY. Association between homocysteine and vascular calcification incidence, prevalence, and progression in the MESA cohort. J Am Heart Assoc. 2020, 9, e013934.\u003c/li\u003e\n\u003cli\u003eReference Values for Arterial Stiffness\u0026apos; Collaboration. Determinants of pulse wave velocity in healthy people and in the presence of cardiovascular risk factors:\u0026lsquo;establishing normal and reference values\u0026rsquo;. Eur Heart J. 2010, 31, 2338-50.\u003c/li\u003e\n\u003cli\u003edu Plessis JP, Lammertyn L, Schutte AE, Nienaber-Rousseau C. H-Type Hypertension among Black South Africans and the Relationship between Homocysteine, Its Genetic Determinants and Estimates of Vascular Function. J Cardiovasc Dev Dis. 2022, 9, 447-63. doi: 10.3390/jcdd9120447 \u003c/li\u003e\n\u003cli\u003eChiu HF, Venkatakrishnan K, Golovinskaia O, Wang CK. Impact of Micronutrients on Hypertension: Evidence from Clinical Trials with a Special Focus on Meta-Analysis. Nutrients. 2021, 13, 588-607. doi.org/10.3390/nu13020588\u003c/li\u003e\n\u003cli\u003eMertens E, Tielemans S, Soedamah-Muthu S, Geleijnse J. Pulse Pressure Trajectories in Relation to Cardiovascular Mortality and Dietary Protein Intake: The Zutphen Study. Proc Nutr Soc. 2015, 74, e346. doi.org/10.1017/S0029665115003936\u003c/li\u003e\n\u003cli\u003eMels CM, Delles C, Louw R, Schutte AE. Central Systolic Pressure and a Nonessential Amino Acid Metabolomics Profile: The African Prospective Study on the Early Detection and Identification of Cardiovascular Disease and Hypertension. J Hypertens. 2019, 37, 1157-66. doi: 10.1097/HJH.0000000000002040\u003c/li\u003e\n\u003cli\u003eDu Y, Taylor CG, Zahradka P. Modulation of Endothelial Cell Responses and Vascular Function by Dietary Fatty Acids. Nutr Rev. 2019, 77, 614-29. doi.org/10.1093/nutrit/nuz026\u003c/li\u003e\n\u003cli\u003eRodriguez-Melendez R, Zempleni J. Regulation of Gene Expression by Biotin☆. J Nutr Biochem. 2003, 12, 680-90. doi.org/10.1016/j.jnutbio.2003.07.001\u003c/li\u003e\n\u003cli\u003eGlushakova O, Kosugi T, Roncal C, Mu W, Heinig M, Cirillo P, Sanchez-Lozada LG, Johnson RJ, Nakagawa T. Fructose Induces the Inflammatory Molecule Icam-1 in Endothelial Cells. J Am Soc Nephrol. 2008, 19, 1712-20. doi.org/10.1681/ASN.2007121304\u003c/li\u003e\n\u003cli\u003eBasciano H, Federico L, Adeli K. Fructose, Insulin Resistance, and Metabolic Dyslipidemia. Nutr Metab. 2005, 2, 1-14. doi:10.1186/1743-7075-2-5\u003c/li\u003e\n\u003cli\u003eHan N, Chae JW, Jeon J, Lee J, Back HM, Song B, Kwon KI, Kim SK, Yun HY. Prediction of Methionine and Homocysteine Levels in Zucker Diabetic Fatty (Zdf) Rats as a T2dm Animal Model after Consumption of a Methionine-Rich Diet. Nutr Metab. 2018, 15, 14-22. doi 10.1186/s12986-018-0247-1\u003c/li\u003e\n\u003cli\u003eTessari P, Cecchet D, Vettore M, Coracina A, Puricelli L, Kiwanuka E. Decreased Homocysteine Trans-Sulfuration in Hypertension with Hyperhomocysteinemia: Relationship with Insulin Resistance. J Clin Endocrinol Metab. 2017, 103, 56-63. doi.org/10.1210/jc.2017-01076\u003c/li\u003e\n\u003cli\u003eVorster H, Kruger A, Venter C, Margetts B, Macintyre U. Cardiovascular Disease Risk Factors and Socio-Economic Position of Africans in Transition: The Thusa Study: Cardiovascular Topics. Cardiovasc J Afr. 2007, 18, 282-9.\u003c/li\u003e\n\u003cli\u003eCasari S, Di Paola M, Banci E, Diallo S, Scarallo L, Renzo S, Gori A, Renzi S, Paci M, de Mast Q, Pecht T. Changing Dietary Habits: The Impact of Urbanization and Rising Socio-Economic Status in Families from Burkina Faso in Sub-Saharan Africa. Nutrients. 2022, 14, 1782-1800. doi.org/10.3390/nu14091782\u003c/li\u003e\n\u003cli\u003eMonahan KD, Feehan RP, Blaha C McLaughlin DJ. Effect of Omega‐3 Polyunsaturated Fatty Acid Supplementation on Central Arterial Stiffness and Arterial Wave Reflections in Young and Older Healthy Adults. Physiol Rep. 2015, 3, e12438. doi.org/10.14814/phy2.12438\u003c/li\u003e\n\u003cli\u003eZanetti M, Grillo A, Losurdo P, Panizon E, Mearelli F, Cattin L, Barazzoni R, Carretta R. Omega-3 Polyunsaturated Fatty Acids: Structural and Functional Effects on the Vascular Wall. BioMed Res Int. 2015, 2015, 1-15. doi.org/10.1155/2015/791978\u003c/li\u003e\n\u003cli\u003eZec MM, Schutte AE, Ricci C, Baumgartner J, Kruger IM, Smuts CM. Long-Chain Polyunsaturated Fatty Acids Are Associated with Blood Pressure and Hypertension over 10-Years in Black South African Adults Undergoing Nutritional Transition. Foods. 2019, 8, 394-409. doi.org/10.3390/foods8090394\u003c/li\u003e\n\u003cli\u003eVidem V, Albrigtsen M. Soluble Icam‐1 and Vcam‐1 as Markers of Endothelial Activation. Scand J Immunol. 2008, 67, 523-31. doi.org/10.1111/j.1365-3083.2008.02029.x\u003c/li\u003e\n\u003cli\u003eDa Silva MS, Bigo C, Barbier O, Rudkowska I. Whey Protein Hydrolysate and Branched-Chain Amino Acids Downregulate Inflammation-Related Genes in Vascular Endothelial Cells. Nutr Res. 2017, 38, 43-51. doi.org/10.1016/j.nutres.2017.01.005\u003c/li\u003e\n\u003cli\u003eBurris RL, Ng HP, Nagarajan S. Soy Protein Inhibits Inflammation-Induced Vcam-1 and Inflammatory Cytokine Induction by Inhibiting the Nf-\u0026Kappa;b and Akt Signaling Pathway in Apolipoprotein E\u0026ndash;Deficient Mice. Eur J Nutr. 2014, 53, 135-48. doi.org/10.1007/s00394-013-0509-7\u003c/li\u003e\n\u003cli\u003eSiervo M, Lara J, Chowdhury S, Ashor A, Oggioni C, Mathers JC. Effects of the Dietary Approach to Stop Hypertension (Dash) Diet on Cardiovascular Risk Factors: A Systematic Review and Meta-Analysis. Br J Nutr. 2015, 113, 1-15. doi.org/10.1017/S0007114514003341\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"genes-and-nutrition","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"gnnu","sideBox":"Learn more about [Genes \u0026 Nutrition](http://genesandnutrition.biomedcentral.com)","snPcode":"12263","submissionUrl":"https://submission.nature.com/new-submission/12263/3","title":"Genes \u0026 Nutrition","twitterHandle":"@BioMedCentral","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"precision nutrition, vascular function, gene-diet interactions, hyperhomocysteinemia, H-type hypertension, nutrigenetics, Hcy-polymorphisms","lastPublishedDoi":"10.21203/rs.3.rs-4317982/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4317982/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eAims\u003c/h2\u003e \u003cp\u003eWe investigated circulating homocysteine (Hcy), a cardiovascular disease (CVD) risk factor, examining its dietary associations to provide personalized nutrition advice. This study addressed the inadequacy of current dietary interventions to ultimately address the disproportionately high incidence of CVD in Black populations. Methods and Results: Cross-sectional analyses of 1,867 Black individuals of the PURE-SA study allowed the identification of dietary intake and cardiovascular measure interactions on three sub-categories: 1) normal blood pressure (BP), hypertension or Hcy-related hypertension (Htype), 2) low, normal or high Hcy concentrations, and 3) Hcy-related genetic combinations. Favorable body composition, but adverse dietary intake and cardiovascular determinants, were observed in higher Hcy categories. H-types, compared to regular hypertensives, had higher alcohol and lower macronutrient and micronutrient consumption. Inverse associations with carotid-radial pulse wave velocity were evident between monounsaturated fatty acid (FA) consumption and H-type hypertension as well as polyunsaturated FA and \u003cem\u003eCBS\u003c/em\u003e883/ins68 TT carriers. Energy intake was positively associated with vascular cell adhesion molecule-1 (VCAM-1) in variant \u003cem\u003eCBS\u003c/em\u003eT883C/ins68 and \u003cem\u003eCBS\u003c/em\u003e9276 GG carriers. VCAM-1 was also positively associated with plant protein intake in \u003cem\u003eCBS\u003c/em\u003e9276 GG and \u003cem\u003eMTR\u003c/em\u003e2756 AA carriers and negatively with total protein intake and \u003cem\u003eCBS\u003c/em\u003e9276 GG carriers. Alcohol intake was positively associated with intercellular adhesion molecule-1 in \u003cem\u003eMTR\u003c/em\u003e2756 minor allele carriers. Conclusion: Because Hcy genediet interactions are evident, personalized nutrition, by adjusting diets based on genetic profiles (e.g., \u003cem\u003eCBS\u003c/em\u003e and \u003cem\u003eMTR\u003c/em\u003e variations) and dietary interactions (e.g., fatty acids and proteins), can enhance cardiovascular outcomes by managing Hcy and related hypertension in genetically susceptible individuals.\u003c/p\u003e","manuscriptTitle":"Homocysteine, blood pressure and gene–diet interactions in relation to vascular function measures of Black South Africans","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-05-09 06:26:38","doi":"10.21203/rs.3.rs-4317982/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewersInvited","content":"","date":"2024-05-03T17:39:33+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-04-28T08:14:50+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-04-25T01:37:00+00:00","index":"","fulltext":""},{"type":"submitted","content":"Genes \u0026 Nutrition","date":"2024-04-24T11:45:00+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"genes-and-nutrition","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"gnnu","sideBox":"Learn more about [Genes \u0026 Nutrition](http://genesandnutrition.biomedcentral.com)","snPcode":"12263","submissionUrl":"https://submission.nature.com/new-submission/12263/3","title":"Genes \u0026 Nutrition","twitterHandle":"@BioMedCentral","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"00f30727-0d0c-47ae-93bb-2ac259ecf054","owner":[],"postedDate":"May 9th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-08-05T16:14:47+00:00","versionOfRecord":{"articleIdentity":"rs-4317982","link":"https://doi.org/10.1186/s12263-024-00751-8","journal":{"identity":"genes-and-nutrition","isVorOnly":false,"title":"Genes \u0026 Nutrition"},"publishedOn":"2024-08-01 15:57:58","publishedOnDateReadable":"August 1st, 2024"},"versionCreatedAt":"2024-05-09 06:26:38","video":"","vorDoi":"10.1186/s12263-024-00751-8","vorDoiUrl":"https://doi.org/10.1186/s12263-024-00751-8","workflowStages":[]},"version":"v1","identity":"rs-4317982","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4317982","identity":"rs-4317982","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}