Association of triglyceride-glucose index (TyG) and a body shape index (ABSI) with cognitive decline and dementia risk

Association of triglyceride-glucose index (TyG) and a body shape index (ABSI) with cognitive decline and dementia risk | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Association of triglyceride-glucose index (TyG) and a body shape index (ABSI) with cognitive decline and dementia risk Shuangshuang Yang, Lili Cui, Jinxin Zhang, Ying Yang, Junhao Huo, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7414213/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background : The triglyceride-glucose (TyG) index, used to assess insulin resistance (IR), and a body shape index (ABSI), a measure of visceral obesity, are both established risk factors for cognitive decline and dementia. However, longitudinal evidence for a causal link between ABSI and cognitive decline or dementia remains scarce, and the two indices have rarely been combined for predictive diseases. The study aimed to explore the associations between the TyG index, ABSI and the combined TyG-ABSI index with cognitive decline and the risk of dementia. Methods : This study included 370,744 participants from the UK Biobank who were free of dementia and had complete data at baseline. The TyG, ABSI and TyG-ABSI indices were categorized into quartiles. Logistic regressions were employed to assess the associations of TyG, ABSI and TyG-ABSI indices with cognitive decline; cox regressions were used to analyze the associations of these indices with the risk of all-cause dementia (ACD) and its subtypes. Restricted cubic splines (RCS) were used to explore the dose-response relationships of TyG, ABSI and TyG-ABSI indices with cognitive decline and the risk of dementia. Receiver operating characteristic curves (ROC) were used to evaluate their diagnostic value. Result: After adjusting for confounders, TyG, ABSI and TyG-ABSI indices were all significantly associated with cognitive decline. Additionally, compared with the lowest quartiles, the highest quartiles of TyG, ABSI and TyG-ABSI indices were associated with a significantly increased risk of ACD by 33% (HR=1.33, 95% CI: 1.13-1.57), 79% (HR=1.79, 95% CI: 1.65-1.94) and 67% (HR=1.67, 95% CI: 1.54-1.82), respectively. These indices were also significantly associated with the risk of Alzheimer's disease (AD) and vascular dementia (VD) (all P < 0.05). Finally, ABSI and TyG-ABSI demonstrated good ROC curve performance in predicting cognitive decline and dementia. Conclusion: There were significant associations among the TyG, ABSI and TyG-ABSI indices with the risk of cognitive decline and dementia incidence, respectively. Moreover, ABSI and TyG-ABSI index exhibited superior predictive performance compared with TyG alone and other TyG-derived indices (TyG-WC, TyG-BMI, TyG-WHtR). triglyceride-glucose index a body shape index Insulin resistance cognitive decline Dementia Figures Figure 1 Figure 2 Figure 3 Introduction With the intensification of global population aging, the prevalence of age-related cognitive decline and dementia is projected to rise significantly worldwide [ 1 , 2 ] . Cognitive decline is a gradual reduction in cognitive function from a normal level, while dementia is its severe stage with common subtypes including Alzheimer's disease (AD) and vascular dementia (VD) [ 3 , 4 ] . Currently, there is no effective cure for dementia; treatments can only slow its progression [ 5 ] . Therefore, early identification of risk factors for cognitive decline and dementia is crucial for implementing preventive measures and timely interventions. The triglyceride-glucose index (TyG), derived from fasting triglycerides (TG) and fasting plasma glucose (FPG), is a straightforward and cost-effective measure that can serve as a useful tool for assessing IR [ 6 , 7 ] . Insulin resistance (IR), characterized by reduced effectiveness of insulin in promoting glucose uptake and utilization, is closely related to obesity, particularly visceral obesity, which further exacerbates metabolic disorders in the body [ 8 , 9 ] . Numerous studies have confirmed that IR and obesity are significant risk factors for various chronic diseases, such as cardiovascular disease (CVD), type 2 diabetes, and cognitive decline [ 10 , 11 ] . A body shape index (ABSI) calculated from waist circumference (WC), body mass index (BMI) and height, is a novel metric for evaluating visceral fat content independently of BMI and outperforms traditional obesity indicators (BMI, WC, waist-to-height ratio[WHtR]) in assessing metabolic risks [ 12 , 13 ] . Although some studies suggest a link between ABSI and cognitive decline and dementia, longitudinal evidence remains scarce. Additionally, although previous studies have demonstrated the joint effects of TyG and ABSI on CVD and stroke [ 14 , 15 ] , the combined impact of these indices on cognitive decline and dementia remains unclear. Therefore, based on prior research [ 15 ] , we constructed the TyG-ABSI index to explore the potential value of TyG, ABSI and TyG-ABSI indices in predicting cognitive decline and dementia risk, providing new tools for early identification and intervention. Methods 2.1 Study design and population The UK Biobank is a large prospective cohort study with over 500,000 participants recruited from 2006 to 2010 across 22 United Kingdom (UK) centers [ 16 , 17 ] . Participants, all registered with the National Health Service (NHS), completed detailed questionnaires, underwent physical assessments, and provided biological samples at baseline for long-term follow-up. The UK Biobank study received ethical approve from the North West Multi-center Research Ethics Committee (REC reference: 11/NW/0382), and written informed consents were obtained from all participants. The data from UK Biobank project application id 98124. The study initially included 502,368 participants from the UK Biobank. First, we excluded 241 participants with pre-existing dementia. For the cross-sectional analysis of the relationship between TyG, ABSI, and TyG-ABSI indices and cognitive decline: 453,406 participants with missing cognitive test data were excluded, followed by 9,046 with missing TG, glucose, height, BMI or WC data, and 2,844 with missing covariate data. Ultimately, 36,831 participants were included in the analysis. In addition, for the cohort study exploring the relationship between TyG, ABSI and TyG-ABSI indices and dementia and its subtypes: We excluded 75,000 participants with missing TG, glucose, height, BMI or WC data, and 56,383 with missing covariate data. Ultimately, 370,744 participants were included in the dementia analysis. Flowchart is shown in Fig. 1 . 2.2 Assessment of TyG, ABSI and TyG-ABSI indices In the UK Biobank, peripheral venous blood samples were collected from all participants at baseline, with the collection protocol validated for the UK Biobank study [ 18 ] . Given that blood samples are intended for the diagnosis of various diseases, and considering the challenges of collecting and processing fasting blood samples in a distributed assessment center setting with a large population, blood sample collection is performed randomly. Non-fasting serum biochemistry (glucose, TG) was measured using a Beckman Coulter AU5800 clinical chemistry analyzer in a central laboratory, with coefficients of variation < 2% for both analytes. TyG and ABSI were calculated using established formulas: TyG = ln[TG (mg/dL)×FPG (mg/dL)/2], ABSI = WC (m)/[BMI^(2/3)×height^(1/2) (m)] [ 19 , 20 ] . The TyG-ABSI index was derived by multiplying TyG and ABSI, after which TyG, ABSI, and TyG-ABSI indices were categorized into quartiles for analysis based on prior research, respectively [ 15 ] . 2.3 Assessment of Cognitive Function As previously detailed [ 21 ] , self-administered computerized cognitive tests have been developed for population-scale assessment in the UK Biobank. These tests include reaction time (RT), verbal-numerical reasoning, numeric memory, prospective memory, and reasoning. The details of the cognitive testing assessments in this study are described elsewhere [ 22 ] . Data reduction was applied to the baseline assessment cognitive test scores, using PCA. We use the first principal component (explaining 43.03% variance) as the cognitive score, where higher values indicated better performance. Currently, no formal standard of cutoff point was established to identify low cognitive function in the UK Biobank. In accordance with previously published studies [ 23 , 24 ] , this study defined the 25th quantile of cognitive test score as the cutoff point. 2.4 Assessment of dementia The cases of ACD are identified based on the algorithmically defined outcomes (field 42018). In contrast, the cases of AD and VD are determined by the earliest first occurrence among the algorithmically-defined outcomes (fields 42020 and 42022) and the first occurrences (fields 130836 and 130838) [ 25 ] . Inpatient admissions records were available from the Hospital Episode Statistics for England, the Scottish Morbidity Record for Scotland, and the Patient Episode Database for Wales. Death registry records were available from the NHS England for England and Wales, and the Information and Statistics Division for Scotland. The ICD 9–10 codes used to ascertain dementia were selected and validated by the UK Biobank outcome adjudication group (Supplemental File Table S1 ). 2.5 Covariates Covariates were selected based on prior studies [ 26 – 28 ] , including sociodemographic characteristics (age, sex, ethnicity, residence, educational background), lifestyle factors (smoking and drinking status, Townsend Deprivation Index [TDI]), family or medical history (family history of diabetes, personal history of stroke and anxiety) and laboratory measures (systolic blood pressure [SBP], high-density lipoprotein cholesterol [HDL-C], C-reactive protein [CRP]). Age was categorized per the latest WHO criteria (≤ 65 years, >65 years), while ethnicity (White, other), residence (urban, rural), education (college or above, others), drinking status (current, former, never), smoking status (current, former, never), TDI quartiles (a composite measure of deprivation based on unemployment, non-car ownership, non-home ownership, and household overcrowding, derived from residential postcodes where negative values indicate higher socioeconomic status) [ 29 ] , history of stroke and anxiety (yes, no), and family history of diabetes (yes, no) were also recorded. 2.6 Statistical Analysis Baseline characteristics of cognitive function and dementia were grouped by TyG-ABSI quartiles. For continuous variables, we assessed the distribution using the Shapiro-Wilk test. Normally distributed continuous variables were presented as mean ± standard deviation (SD) and compared using one-way analysis of variance (ANOVA). For variables with a skewed distribution, we used the median and interquartile range (IQR) and applied the Kruskal-Wallis test for comparisons. Categorical variables were summarized as frequencies and percentages and compared using the chi-square test. Kaplan-Meier curves were drawn to estimate cumulative incidence of dementia and its subtypes, with log-rank tests used to assess group differences. Restricted cubic spline (RCS) regression was used to explore the potential nonlinear associations of TyG, ABSI and TyG-ABSI indices with cognitive decline and dementia risk. Logistic regression models were used to examine independent associations of TyG, ABSI and TyG-ABSI indices with cognitive decline, reported as adjusted odds ratios (OR) and 95% CIs. For cox hazard regression models examining associations of TyG, ABSI and TyG-ABSI indices with ACD and subtypes, stratified cox regressions were applied to covariates violating proportional hazards assumptions, reported as adjusted hazard ratios (HR) and 95% confidence intervals (95% CIs). Model 1 was unadjusted; Model 2 was adjusted for age, sex, ethnicity, and residence; Model 3 was further adjusted for education level, alcohol and tobacco use, TDI, diabetes family history, anxiety and stroke history, SBP, HDL-C and CRP levels. Evaluating diagnostic value using Receiver Operating Characteristic (ROC) curves. Subgroup analyses were performed to examine the relationships of TyG, ABSI and TyG-ABSI indices with cognitive decline, dementia and its subtypes across different groups, using fully adjusted models. Finally, several sensitivity analyses were conducted to assess the robustness of our findings: (1) excluding participants who developed dementia and its subtypes within 2 years of follow-up; (2) performing multiple imputation by chained equations for participants with missing covariate values, and details provided in there. (Supplementary File Table S2); (3) conducting analyses after removing outliers; (4) based on relevant literature [ 30 , 31 ] , adding sleep duration to the fully adjusted model for analysis; (5) fitting a competing risk model with death as a competing event for dementia and its subtypes [ 32 ] . Data cleaning was performed using Stata 18, and all statistical analyses were conducted using R (Version 4.4.3). Two-tailed tests were used to determine statistical significance, with a significance threshold of P < 0.05. Results 3.1 Results of Cognitive decline. Table 1 shows the baseline characteristics of the cognitive function. Among the 36,831 participants included in the analysis of cognitive function baseline characteristics, all variables exhibited statistically significant differences between groups ( P < 0.05). Compared with the first quartile (Q1), the fourth quartile (Q4) of TyG-ABSI included a higher proportion of men, more individuals residing in the region, lower educational levels and more severe smoking status. Further categorization by disease status showed 9,197 individuals with cognitive decline (Supplementary File Table S3). As the TyG, ABSI and TyG-ABSI indices increase, the RCS of cognitive decline tends to rise (Supplementary File Fig. S1 - 3 ). The associations of TyG, ABSI and TyG-ABSI indices with cognitive decline are shown in Table 2 . In Model 3, using Q1 as the reference group, participants in Q4 of TyG, ABSI and TyG-ABSI had HR of 1.16 (95% CI: 1.07–1.25), 1.36 (95% CI: 1.25–1.47), and 1.36 (95% CI: 1.25–1.48) for cognitive decline, respectively. TyG, ABSI and TyG-ABSI indices and cognitive subgroup analyses had interaction with sex, ethnicity, TDI and anxiety, respectively ( P for interaction < 0.05; Supplementary File Table S4-6). Consistent findings were observed in sensitivity analyses (Supplementary File Table S7-9). 3.2 Results of dementia and its subtypes. Table 3 shows the baseline characteristics of dementia. In the baseline analysis of dementia involving 370,744 individuals, the maximum follow-up time was approximately 18 years. Among them, 85.39% were aged 65 and below, and 54.05% were female. Further categorization by disease status showed 6,938 cases of ACD, 3,066 of AD, 1,545 of VD (Supplementary File Table S10-12). Kaplan-Meier curves showed cumulative incidence of ACD and its subtypes increased with higher TyG, ABSI and TyG-ABSI quartiles (all log-rank P < 0.001). ACD, AD and VD Kaplan-Meier curves are in Fig. 2 A-C, respectively. With increasing TyG, ABSI and TyG-ABSI indices, the RCS of ACD and its subtypes all showed an upward trend (Supplementary File Fig. S1 - 3 ). Associations of TyG, ABSI and TyG-ABSI indices with ACD and its subtypes are shown in Table 4 . After adjusting for all potential confounding variables, in Model 3 of ACD, using Q1 as the reference group, participants in Q4 of TyG, ABSI and TyG-ABSI had HR of 1.33 (95% CI: 1.13–1.57), 1.79 (95% CI: 1.65–1.94) and 1.67 (95% CI: 1.54–1.82); For AD, using Q1 as the reference group, participants in Q4 of TyG, ABSI and TyG-ABSI had HR of 1.14 (95% CI: 1.02–1.29), 1.58 (95% CI: 1.39–1.78) and 1.54 (95% CI: 1.36–1.75); For VD, using Q1 as the reference group, participants in Q4 of TyG, ABSI and TyG-ABSI had HR of 1.18 (95% CI: 1.09–1.27), 1.98 (95% CI: 1.64–2.40) and 1.67 (95% CI: 1.54–1.82), respectively. Subgroup analyses of the associations between TyG, ABSI and TyG-ABSI indices and dementia and its subtypes revealed significant interactions with age, sex, alcohol status, and TDI (P for interaction < 0.05; Supplementary File Table S13-21). Finally, Consistent findings were observed in sensitivity analyses (Supplementary File Table S22-26). 3.3 The results of ROC ROC curves were based on Model 3. In the ROC curve analysis for cognition, the area under the curve (AUC) of ABSI and TyG-ABSI was all 0.671(Fig. 3 A). For ACD, compared with the alone TyG, TyG-WC, TyG-BMI and TyG-WHtR indices, ABSI and TyG-ABSI had the higher AUC for predicting risk (0.694 vs 0.707 vs 0.694 vs 0.692 vs 0.699 vs 0.705; Fig. 3 B). Similarly, ABSI and TyG-ABSI also demonstrated the higher AUC for predicting AD risk when compared with the TyG, TyG-WC, TyG-BMI, and TyG-WHtR indices (0.724 vs 0.730 vs 0.722 vs 0.722 vs 0.723 vs 0.729; Fig. 3 C). Furthermore, for VD, compared with the TyG, TyG-WC, TyG-BMI and TyG-WHtR indices, ABSI and TyG-ABSI had the higher AUC for predicting risk (0.813 vs 0.820 vs 0.815 vs 0.814 vs 0.819 vs 0.819; Fig. 3 D). Discussion This study examined the associations of the TyG, ABSI and TyG-ABSI indices with the risks of cognitive decline, dementia and its subtypes, respectively. Here, we report the following key findings: (1) The study revealed significant associations between the TyG index and ABSI with cognitive decline, dementia and its subtypes, particularly providing temporal evidence for the causal pathway between ABSI and dementia. (2) The combined TyG-ABSI index, derived from TyG and ABSI, also showed significant associations with cognitive impairment, dementia and its subtypes; (3) Moreover, compared with the TyG index alone and its derived indices, ABSI and TyG-ABSI showed relatively higher AUCs when predicting cognitive decline and dementia. A meta-analysis has shown that TyG index is positively correlated with the risk of cognitive impairment and dementia, findings that align with our results [ 33 ] . Likewise, studies conducted in elderly populations have consistently shown that individuals in the highest quartile (Q4) of the TyG index exhibit a markedly increased risk of cognitive impairment compared with those in the lowest quartile (Q1) [ 34 ] . The TyG index is a simple and reliable marker of insulin resistance; its contribution to cognitive decline and dementia likely arises from impairing cerebral insulin-signaling pathways and from exacerbating neurodegenerative processes through the induction of oxidative stress and inflammatory responses [ 35 , 36 ] . Additionally, the study results of Szu-Han Huang [ 37 ] and another cross-sectional study [ 38 ] respectively demonstrate that higher ABSI values are significantly associated with lower cognitive scores and a higher risk of dementia. As an indicator that is not influenced by the “obesity paradox,” ABSI provides a more precise reflection of body fat distribution, particularly in terms of visceral fat accumulation [ 20 , 39 ] . The mechanisms by which ABSI affects cognition and dementia may include the following: Firstly, elevated ABSI values may trigger chronic inflammation and oxidative stress, releasing pro-inflammatory mediators that cross the blood–brain barrier to ignite neuroinflammation, thereby impairing cognitive function [ 40 , 41 ] . Secondly, ABSI elevation may also impair brain function by inducing gut microbiota dysbiosis and subsequently influencing the central nervous system via the vagus nerve [ 42 ] . In recent years, most researchers have combined the TyG index with obesity markers such as BMI, WC, and waist-to-height ratio (WHtR) to achieve superior diagnostic accuracy, and ABSI is no exception. Previous studies have combined TyG and ABSI to predict the risk of other related diseases, such as a cohort study found that the combined effect of TyG and ABSI had a significant impact on stroke risk [ 14 ] . However, the association between the TyG-ABSI index and cognitive decline or dementia remains unclear. Therefore, we conducted this study and the results indicate that the TyG-ABSI index not only has a significant impact on cognitive decline and dementia but also exhibits superior predictive value compared to the individual TyG index or its derived indices, such as TyG-BMI, TyG-WC and TyG-WHtR, similar with the study by Hao-Ming He [ 15 ] . IR and visceral obesity have each been conclusively established as independent risk factors for cognitive decline and dementia; yet when they coexist, the resulting cognitive deterioration and dementia are markedly exacerbated, likely through the following mechanisms: they can induce endothelial dysfunction, impairing blood vessel function and reducing cerebral blood flow, which negatively impacts cognitive function [ 43 ] ; they jointly accelerate atherosclerotic plaque formation, progressively occluding cerebral vasculature and precipitating cognitive decline through sustained hypoperfusion [ 44 ] ; they can further promote dementia by modulating Aβ plaque deposition, disrupting synaptic function, and triggering neuroinflammation [ 45 ] ;they can further promote dementia by modulating Aβ plaque deposition, disrupting synaptic function, and triggering neuroinflammation [ 45 ] ༛they also influence the abnormal phosphorylation of tau proteins, leading to neurofibrillary tangles that impair neuronal function and contribute to neuronal death [ 44 ] . These mechanisms act in concert, ultimately leading to neurodegenerative changes and increasing the risk of cognitive decline and dementia [ 46 ] . Furthermore, our study further indicates that, compared with the combined TyG-ABSI index, ABSI alone performs slightly better in predictive ability. We speculate that this may stem from interaction effects among the variables. In this study, we found that the associations of TyG, ABSI, and TyG-ABSI indices with cognitive decline and dementia may vary by age, sex, and alcohol consumption status, such as obesity and IR during middle age have a more pronounced negative impact on cognitive function due to the body’ s relatively stronger metabolic capacity at this stage, thereby amplifying long-term effects on the brain [ 47 ] . In addition, Cognitive impairment risk rises most in postmenopausal women, driven by falling estrogen, growing visceral fat, and worsening IR [ 48 , 49 ] . Thus, Further analyses of the relationship between TyG-ABSI and cognitive decline and dementia are urgently needed. These findings establish a causal link between ABSI and dementia and demonstrate that the ABSI and TyG-ABSI index further enhances predictive accuracy of cognitive decline and dementia, but despite the achievements of this study, several limitations should be acknowledged. First, the study sample was primarily drawn from the population in the United Kingdom, which may limit the generalizability of the results to other countries. Second, the assessment of cognitive function relied predominantly on standardized psychological measurement tools, without the support of objective indicators such as neuroimaging. Third, while the TyG, ABSI, and TyG-ABSI indices were found to be associated with cognitive decline and dementia, the potential influence of unmeasured confounding factors cannot be excluded. Fourth, In the UK Biobank, all covariates were measured at baseline, which may lead to potential biases in capturing long-term changes in participants' health status and behaviors over the follow-up period. Finally, without examining the dynamic changes of the ABSI and TyG indices, detailed insights into the development of the combined indices cannot be obtained. Future research should expand the sample to diverse populations globally to validate the generalizability of the TyG-ABSI index. Incorporating objective measures like neuroimaging could elucidate the mechanisms linking TyG-ABSI to cognitive decline and dementia. Additionally, comparing ABSI with other obesity indicators and dynamically tracking changes in TyG and ABSI indices would provide stronger evidence for clinical application. Conclusion In UK Biobank, revealed significant associations between the TyG index, ABSI and the combined TyG-ABSI index with cognitive decline and dementia risk. The ABSI and TyG-ABSI, which integrates both IR and abdominal obesity, showed superior predictive performance for cognitive decline and dementia, thereby offering a powerful tool for early risk detection. Abbreviations ACD all-cause dementia AD alzheimer's disease VD vascular dementia TyG triglyceride-glucose index TG triglycerides FPG fasting plasma glucose IR insulin resistance CVD cardiovascular disease ABSI a body shape index WC waist circumference BMI body mass index WHtR waist-to-height ratio TyG-WC Triglyceride-glucose index-Waist Circumference TyG-BMI Triglyceride-glucose index-Body Mass Index TyG-WHtR Triglyceride-glucose index-Waist-to-Height Ratio TyG-ABSI Triglyceride Glucose-A Body Shape Index TDI townsend deprivation index SBP systolic blood pressure HDL-C high-density lipoprotein cholesterol CRP C-reactive protein SD standard deviation ANOVA one-way analysis of variance IQR interquartile range RCS restricted cubic spline OR odds ratios 95% CIs 95% confidence intervals HR hazard ratios ROC receiver Operating Characteristic Q1 the first quartile Q4 the fourth quartile. Declarations Ethics approval and consent to participate: UK Biobank data has approval from the North West Multi-centre Research Ethics Committee (MREC) (REC reference: 21/NW/0157). All the participants provided written informed consent. Consent for publication: Not applicable Availability of data: The data supporting this study's findings are available from the UK Biobank project site, subject to registration and application process. Further details can be found at https://www.ukbiobank.ac.uk. Competing interests: There exist no competing interests linked to the dissemination of this manuscript; this document has received approbation from all contribu tors for dissemination. Funding: This work was supported by 2024 Kunlun Talents of Qinghai Province•High-end Innovation and Entrepreneurship Talent Project and the Open competition mechanism to select the best candidates for key research projects of Ningxia Medical University (No. XJKF230203). Authors' contributions: Shuangshuang Yang: Writing-original draft, Software, Formal analysis, Data curation, Conceptualization. Lili Cui: Writing-original draft, Formal analysis, Data curation. Jinxin Zhang: Writing-original draft, Formal analysis. Ying Yang: Writing-original draft, Formal analysis. Junhao Huo: Writing-original draft, Formal analysis. Yuyan Ding: Writing-original draft. Jingni Zhang: Writing-review & editing. Shulan He: Writing-review & editing. Jiangping Li: Writing-review & editing, Supervision, Conceptualization. Acknowledgments: This study is conducted under application number 98124 for UK Biobank Resource. The authors gratefully thank all the participants and professionals contributing to the UK Biobank. References Collaborators GBDN. Global, regional, and national burden of neurological disorders, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2019;18:459–80. Avan A, Hachinski V. 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Characteristic Total (N = 36831) Q1 (N = 9213) Q2 (N = 9206) Q3 (N = 9215) Q4 (N = 9197) P -value Age at recruitment, n (%) 65 5154 (13.99) 757 (8.22) 1269 (13.78) 1432 (15.54) 1696 (18.44) Sex, n (%) < 0.001 Male 16954 (46.03) 1147 (12.45) 3407 (37.01) 5507 (59.76) 6893 (74.95) Female 19877 (53.97) 8066 (87.55) 5799 (62.99) 3708 (40.24) 2304 (25.05) Ethnicity, n (%) < 0.001 White 35614 (96.70) 8940 (97.04) 8933 (97.03) 8944 (97.06) 8797 (95.65) Others 1217 (3.30) 273 (2.96) 273 (2.97) 271 (2.94) 400 (4.35) Region, n (%) < 0.001 Urban 27635 (75.03) 6772 (73.50) 6849 (74.40) 6972 (75.66) 7042 (76.57) Rural 9196 (24.97) 2441 (26.50) 2357 (25.60) 2243 (24.34) 2155 (23.43) Education, n (%) < 0.001 College/Above 11908 (32.33) 3285 (35.66) 2996 (32.54) 2832 (30.73) 2795 (30.39) Others 24923 (67.67) 5928 (64.34) 6210 (67.46) 6383 (69.27) 6402 (69.61) Smoking, n (%) < 0.001 Current 3619 (9.83) 654 (7.10) 854 (9.28) 971 (10.54) 1140 (12.40) Previous 13142 (35.68) 2688 (29.18) 3073 (33.38) 3418 (37.09) 3963 (43.09) Never 20070 (54.49) 5871 (63.73) 5279 (57.34) 4826 (52.37) 4094 (44.51) Alcohol, n (%) < 0.001 Current 34183 (92.81) 8569 (93.01) 8556 (92.94) 8552 (92.81) 8506 (92.49) Previous 1328 (3.61) 286 (3.10) 308 (3.35) 346 (3.75) 388 (4.22) Never 1320 (3.58) 358 (3.89) 342 (3.71) 317 (3.44) 303 (3.29) TDI, n (%) < 0.001 Q1 9248 (25.11) 2488 (27.01) 2371 (25.75) 2300 (24.96) 2089 (22.71) Q2 9194 (24.96) 2438 (26.46) 2362 (25.66) 2242 (24.33) 2152 (23.40) Q3 9205 (24.99) 2279 (24.74) 2257 (24.52) 2310 (25.07) 2359 (25.65) Q4 9184 (24.94) 2008 (21.80) 2216 (24.07) 2363 (25.64) 2597 (28.24) Anxiety, n (%) < 0.001 No 16379 (44.47) 3593 (39.00) 3994 (43.38) 4280 (46.45) 4512 (49.06) Yes 20452 (55.53) 5620 (61.00) 5212 (56.62) 4935 (53.55) 4685 (50.94) Diabetes family history, n (%) < 0.001 No 30506 (82.83) 7819 (84.87) 7673 (83.35) 7604 (82.52) 7410 (80.57) Yes 6325 (17.17) 1394 (15.13) 1533 (16.65) 1611 (17.48) 1787 (19.43) Stroke, n (%) < 0.001 No 35699 (96.93) 9042 (98.14) 8952 (97.24) 8926 (96.86) 8779 (95.46) Yes 1132 (3.07) 171 (1.86) 254 (2.76) 289 (3.14) 418 (4.54) SBP 82.00 (75.00, 90.00) 79.00 (72.00,86.00) 82.00 (75.00,89.00) 84.00 (77.00,91.00) 85.00 (78.00,92.00) < 0.001 HDL-C 1.41 (1.18, 1.68) 1.67 (1.43,1.94) 1.49 (1.27,1.73) 1.32 (1.15,1.54) 1.19 (1.03,1.39) < 0.001 CRP 1.31 (0.65, 2.67) 0.89 (0.47,1.86) 1.23 (0.61,2.54) 1.46 (0.75,2.89) 1.76 (0.93,3.37) < 0.001 TyG 8.72 (8.36, 9.12) 8.22 (7.98,8.46) 8.58 (8.34,8.82) 8.86 (8.61,9.12) 9.30 (9.02,9.61) < 0.001 ABSI 0.08 (0.07, 0.08) 0.07 (0.07,0.07) 0.07 (0.07,0.08) 0.08 (0.08,0.08) 0.08 (0.08,0.08) < 0.001 TyG-WC 778.65 (678.43, 880.93) 627.19 (580.59,680.62) 733.59 (683.79,790.94) 819.80 (766.52,879.90) 927.93 (861.12,1002.80) < 0.001 TyG-BMI 233.95 (205.25, 267.83) 202.61 (182.66,227.67) 224.73 (201.95,253.24) 242.89 (218.55,271.76) 265.46 (238.44,297.30) < 0.001 TyG-WHtR 4.60 (4.06, 5.17) 3.80 (3.52,4.13) 4.37 (4.07,4.73) 4.80 (4.49,5.17) 5.37 (4.98,5.84) < 0.001 TyG-ABSI 0.67 (0.61, 0.72) 0.58 (0.56,0.60) 0.64 (0.63,0.65) 0.69 (0.68,0.70) 0.75 (0.73,0.78) < 0.001 Abbreviations: Q1-Q4: Q1 to Q4 represent the first to fourth quartiles of the TyG-ABSI index in ascending order. TDI: Townsend Deprivation Index; SBP: Systolic Blood Pressure; HDL-C: High-Density Lipoprotein Cholesterol; CRP: C-Reactive Protein; TyG: Triglyceride glucose; ABSI: A body shape index; TyG-WC: Triglyceride-glucose index-Waist Circumference; TyG-BMI: Triglyceride-glucose index-Body Mass Index; TyG-WHtR: Triglyceride-glucose index-Waist-to-Height Ratio; TyG-ABSI: Triglyceride Glucose-A Body Shape Index. Table 2 Logistic model results for TyG, ABSI and TyG-ABSI indices with cognitive decline. Variable Model1 Model2 Model3 HR (95%CI) P HR (95%CI) P HR (95%CI) P TyG Q1 Ref. Ref. Ref. Q2 1.14 (1.06 ~ 1.22) < 0.001 1.13 (1.05 ~ 1.21) < 0.001 1.11 (1.04 ~ 1.19) 0.003 Q3 1.18 (1.11 ~ 1.27) < 0.001 1.20 (1.12 ~ 1.28) < 0.001 1.16 (1.07 ~ 1.24) < 0.001 Q4 1.18 (1.10 ~ 1.26) < 0.001 1.21 (1.13 ~ 1.30) < 0.001 1.16 (1.07 ~ 1.25) < 0.001 ABSI Q1 Ref. Ref. Ref. Q2 1.05 (0.98 ~ 1.12) 0.159 1.12 (1.04 ~ 1.20) 0.001 1.10 (1.03 ~ 1.18) 0.008 Q3 1.05 (0.98 ~ 1.12) 0.145 1.23 (1.15 ~ 1.33) < 0.001 1.20 (1.11 ~ 1.29) < 0.001 Q4 1.22 (1.14 ~ 1.30) < 0.001 1.44 (1.33 ~ 1.56) < 0.001 1.36 (1.25 ~ 1.47) < 0.001 TyG-ABSI Q1 Ref. Ref. Ref. Q2 1.11 (1.04 ~ 1.19) 0.002 1.16 (1.08 ~ 1.24) < 0.001 1.14 (1.06 ~ 1.22) < 0.001 Q3 1.15 (1.08 ~ 1.23) < 0.001 1.29 (1.20 ~ 1.39) < 0.001 1.25 (1.15 ~ 1.35) < 0.001 Q4 1.24 (1.16 ~ 1.33) < 0.001 1.42 (1.31 ~ 1.53) < 0.001 1.36 (1.25 ~ 1.48) < 0.001 Abbreviations: TyG: Triglyceride glucose; ABSI: A body shape index; TyG-ABSI: Triglyceride Glucose-A Body Shape Index; OR (95% CI): Odds Ratio (95% Confidence Interval); TDI: Townsend Deprivation Index; CRP: C-Reactive Protein; SBP: Systolic Blood Pressure; HDL-C: High-Density Lipoprotein Cholesterol. Model1: Crude. Model2: Adjusted for age, sex, ethnicity, and region. Model3: Age, sex, ethnicity, region, education level, smoking and alcohol status, TDI, anxiety, stroke history, diabetes family history, CRP, SBP, and HDL-C were adjusted for. Table 3 Baseline characteristics of dementia categorized by TyG-ABSI index. Characteristic Total (N = 370,744) Q1(N = 92,808) Q2(N = 92,725) Q3(N = 92,648) Q4(N = 92,563) P -value Age at recruitment, n (%) 65 54,173 (14.61) 8,119 (8.75) 12,756 (13.76) 15,547 (16.78) 17,751 (19.18) Sex, n (%) < 0.001 Male 170,349 (45.95) 11,894 (12.82) 34,422 (37.12) 54,306 (58.62) 69,727 (75.33) Female 200,395 (54.05) 80,914 (87.18) 58,303 (62.88) 38,342 (41.38) 22,836 (24.67) Ethnicity, n (%) < 0.001 White 352,090 (94.97) 87,692 (94.49) 88,109 (95.02) 88,388 (95.40) 87,901 (94.96) Others 18,654 (5.03) 5,116 (5.51) 4,616 (4.98) 4,260 (4.60) 4,662 (5.04) Region, n (%) < 0.001 Urban 318,077 (85.79) 79,031 (85.16) 79,358 (85.58) 79,576 (85.89) 80,112 (86.55) Rural 52,667 (14.21) 13,777 (14.84) 13,367 (14.42) 13,072 (14.11) 12,451 (13.45) Education, n (%) < 0.001 College/Above 121,246 (32.70) 34,802 (37.50) 30,898 (33.32) 29,136 (31.45) 26,410 (28.53) Others 249,498 (67.30) 58,006 (62.50) 61,827 (66.68) 63,512 (68.55) 66,153 (71.47) Smoking, n (%) < 0.001 Current 38,178 (10.30) 6,845 (7.38) 8,852 (9.55) 10,067 (10.87) 12,414 (13.41) Previous 129,424 (34.91) 27,397 (29.52) 30,502 (32.90) 33,697 (36.37) 37,828 (40.87) Never 203,142 (54.79) 58,566 (63.10) 53,371 (57.56) 48,884 (52.76) 42,321 (45.72) Alcohol, n (%) < 0.001 Current 342,037 (92.26) 86,020 (92.69) 85,696 (92.42) 85,630 (92.43) 84,691 (91.50) Previous 13,061 (3.52) 2,830 (3.05) 3,054 (3.29) 3,230 (3.49) 3,947 (4.26) Never 15,646 (4.22) 3,958 (4.26) 3,975 (4.29) 3,788 (4.09) 3,925 (4.24) TDI, n (%) < 0.001 Q1 93,125 (25.12) 24,387 (26.28) 23,765 (25.63) 23,251 (25.10) 21,722 (23.47) Q2 92,549 (24.96) 23,736 (25.58) 23,230 (25.05) 23,226 (25.07) 22,357 (24.15) Q3 92,530 (24.96) 23,226 (25.03) 23,095 (24.91) 23,142 (24.98) 23,067 (24.92) Q4 92,540 (24.96) 21,459 (23.12) 22,635 (24.41) 23,029 (24.86) 25,417 (27.46) Anxiety, n (%) < 0.001 No 162,265 (43.77) 36,116 (38.91) 39,576 (42.68) 42,370 (45.73) 44,203 (47.75) Yes 208,479 (56.23) 56,692 (61.09) 53,149 (57.32) 50,278 (54.27) 48,360 (52.25) Diabetes family history, n (%) < 0.001 No 306,043 (82.55) 78,049 (84.10) 76,996 (83.04) 76,358 (82.42) 74,640 (80.64) Yes 64,701 (17.45) 14,759 (15.90) 15,729 (16.96) 16,290 (17.58) 17,923 (19.36) Stroke, n (%) < 0.001 No 357,843 (96.52) 90,942 (97.99) 89,855 (96.90) 89,106 (96.18) 87,940 (95.01) Yes 12,901 (3.48) 1,866 (2.01) 2,870 (3.10) 3,542 (3.82) 4,623 (4.99) SBP 82 (75.00,89.00) 78 (72.00,86.00) 81 (75.00,89.00) 83 (76.00,90.00) 84 (77.00,91.00) < 0.001 HDL-C 1.40 (1.17,1.68) 1.67 (1.44,1.93) 1.48 (1.27,1.72) 1.33 (1.14,1.55) 1.18 (1.02,1.37) < 0.001 CRP 1.32 (0.66,2.75) 0.89 (0.45,1.89) 1.24 (0.61,2.62) 1.47 (0.76,2.98) 1.79 (0.95,3.43) < 0.001 TyG 8.68 (8.31,9.07) 8.17 (7.94,8.41) 8.53 (8.29,8.78) 8.82 (8.57,9.07) 9.27 (8.99,9.58) < 0.001 ABSI 0.08 (0.07,0.08) 0.07 (0.07,0.07) 0.08 (0.07,0.08) 0.08 (0.08,0.08) 0.08 (0.08,0.08) < 0.001 TyG-WC 781.72 (680.71,884.89) 628.59 (581.27,684.06) 736.64 (685.96,795.36) 822.97 (769.22,883.19) 931.40 (866.06,1,009.51) < 0.001 TyG-BMI 233.08 (204.50,267.04) 201.45 (181.88,226.68) 223.82 (201.51,252.19) 241.79 (218.10,270.38) 264.76 (238.29,296.32) < 0.001 TyG-WHtR 4.63 (4.08,5.20) 3.81 (3.53,4.15) 4.39 (4.09,4.76) 4.82 (4.51,5.20) 5.40 (5.02,5.87) < 0.001 TyG-ABSI 0.67 (0.62,0.72) 0.58 (0.56,0.60) 0.64 (0.63,0.66) 0.69 (0.68,0.71) 0.75 (0.73,0.78) < 0.001 Abbreviations: Q1-Q4: Q1 to Q4 represent the first to fourth quartiles of the TyG-ABSI index in ascending order. TDI: Townsend Deprivation Index; SBP: Systolic Blood Pressure; HDL-C: High-Density Lipoprotein Cholesterol; CRP: C-Reactive Protein; TyG: Triglyceride glucose; ABSI: A body shape index; TyG-WC: Triglyceride-glucose index-Waist Circumference; TyG-BMI: Triglyceride-glucose index-Body Mass Index; TyG-WHtR: Triglyceride-glucose index-Waist-to-Height Ratio; TyG-ABSI: Triglyceride Glucose-A Body Shape Index. Table 4 Cox model results for TyG, ABSI and TyG-ABSI with ACD and its subtypes. Classify Model1 Model2 Model3 HR (95%CI) P HR (95%CI) P HR (95%CI) P TyG ACD Q1 Ref. Ref. Ref. Q2 1.18 (1.01 ~ 1.39) 0.039 0.98 (0.84 ~ 1.15) 0.829 0.95 (0.81 ~ 1.12) 0.572 Q3 1.43 (1.23 ~ 1.67) < 0.001 1.10 (0.95 ~ 1.29) 0.207 1.05 (0.89 ~ 1.23) 0.557 Q4 2.00 (1.73 ~ 2.30) < 0.001 1.50 (1.30 ~ 1.74) < 0.001 1.33 (1.13 ~ 1.57) < 0.001 AD Q1 Ref. Ref. Ref. Q2 1.24 (1.12 ~ 1.38) < 0.001 1.06 (0.95 ~ 1.18) 0.301 1.07 (0.97 ~ 1.20) 0.191 Q3 1.35 (1.22 ~ 1.50) < 0.001 1.10 (0.99 ~ 1.22) 0.072 1.13 (1.01 ~ 1.26) 0.027 Q4 1.35(1.22 ~ 1.50) < 0.001 1.11 (1.00 ~ 1.24) 0.045 1.14 (1.02 ~ 1.29) 0.023 VD Q1 Ref. Ref. Ref. Q2 1.24 (1.15 ~ 1.33) < 0.001 1.06 (0.98 ~ 1.13) 0.124 1.06 (0.99 ~ 1.14) 0.095 Q3 1.33 (1.24 ~ 1.43) < 0.001 1.07 (1.00 ~ 1.15) 0.046 1.09 (1.01 ~ 1.17) 0.029 Q4 1.48 (1.38 ~ 1.59) < 0.001 1.19 (1.11 ~ 1.27) < 0.001 1.18 (1.09 ~ 1.27) < 0.001 ABSI ACD Q1 Ref. Ref. Ref. Q2 1.31 (1.21 ~ 1.41) < 0.001 1.22 (1.13 ~ 1.33) < 0.001 1.21 (1.12 ~ 1.31) < 0.001 Q3 1.68 (1.56 ~ 1.81) < 0.001 1.48 (1.36 ~ 1.60) < 0.001 1.42 (1.31 ~ 1.54) < 0.001 Q4 2.50 (2.33 ~ 2.69) < 0.001 1.95 (1.80 ~ 2.12) < 0.001 1.79 (1.65 ~ 1.94) < 0.001 AD Q1 Ref. Ref. Ref. Q2 1.24 (1.11 ~ 1.38) < 0.001 1.18 (1.06 ~ 1.33) 0.003 1.19 (1.06 ~ 1.33) 0.003 Q3 1.43 (1.28 ~ 1.60) < 0.001 1.32 (1.18 ~ 1.49) < 0.001 1.31 (1.17 ~ 1.48) < 0.001 Q4 1.97 (1.78 ~ 2.18) < 0.001 1.63 (1.45 ~ 1.84) < 0.001 1.58 (1.39 ~ 1.78) < 0.001 VD Q1 Ref. Ref. Ref. Q2 1.60 (1.33 ~ 1.92) < 0.001 1.41 (1.17 ~ 1.70) < 0.001 1.33 (1.10 ~ 1.60) 0.003 Q3 2.13 (1.79 ~ 2.54) < 0.001 1.66 (1.38 ~ 2.00) < 0.001 1.45 (1.20 ~ 1.76) < 0.001 Q4 3.77 (3.21 ~ 4.44) < 0.001 2.47 (2.05 ~ 2.97) < 0.001 1.98 (1.64 ~ 2.40) < 0.001 TyG-ABSI ACD Q1 Ref. Ref. Ref. Q2 1.44 (1.34 ~ 1.56) < 0.001 1.23 (1.14 ~ 1.33) < 0.001 1.23 (1.13 ~ 1.33) < 0.001 Q3 1.80 (1.67 ~ 1.94) < 0.001 1.40 (1.29 ~ 1.51) < 0.001 1.40 (1.29 ~ 1.52) < 0.001 Q4 2.34 (2.18 ~ 2.51) < 0.001 1.70 (1.57 ~ 1.84) < 0.001 1.67 (1.54 ~ 1.82) < 0.001 AD Q1 Ref. Ref. Ref. Q2 1.42 (1.27 ~ 1.59) < 0.001 1.24 (1.10 ~ 1.38) < 0.001 1.26 (1.12 ~ 1.41) < 0.001 Q3 1.68 (1.50 ~ 1.87) < 0.001 1.36 (1.22 ~ 1.53) < 0.001 1.41 (1.25 ~ 1.59) < 0.001 Q4 1.91 (1.72 ~ 2.13) < 0.001 1.49 (1.33 ~ 1.68) < 0.001 1.54 (1.36 ~ 1.75) < 0.001 VD Q1 Ref. Ref. Ref. Q2 1.44 (1.34 ~ 1.56) < 0.001 1.23 (1.14 ~ 1.33) < 0.001 1.23 (1.13 ~ 1.33) < 0.001 Q3 1.80 (1.67 ~ 1.94) < 0.001 1.40 (1.29 ~ 1.51) < 0.001 1.40 (1.29 ~ 1.52) < 0.001 Q4 2.34 (2.18 ~ 2.51) < 0.001 1.70 (1.57 ~ 1.84) < 0.001 1.67 (1.54 ~ 1.82) < 0.001 Abbreviations: TyG: Triglyceride glucose; ABSI: A body shape index; TyG-ABSI: Triglyceride Glucose-A Body Shape Index; HR (95% CI): Hazard Ratio (95% Confidence Interval); TDI: Townsend Deprivation Index; CRP: C-Reactive Protein; SBP: Systolic Blood Pressure; HDL-C: High-Density Lipoprotein Cholesterol. Model1: Crude. Model2: Adjusted for age, sex, ethnicity, and region. Model3: Age, sex, ethnicity, region, education level, smoking and alcohol status, TDI, anxiety, stroke history, diabetes family history, CRP, SBP, and HDL-C were adjusted for. Additional Declarations No competing interests reported. Supplementary Files Graphicalabstract..tif Supplementarymaterial.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-7414213","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":507827236,"identity":"1e183373-84f0-41fd-853f-e34ea32dfbc1","order_by":0,"name":"Shuangshuang Yang","email":"","orcid":"","institution":"Ningxia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Shuangshuang","middleName":"","lastName":"Yang","suffix":""},{"id":507827238,"identity":"3b37eb6a-5079-4246-ac19-73ac96b0fe1c","order_by":1,"name":"Lili Cui","email":"","orcid":"","institution":"Ningxia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Lili","middleName":"","lastName":"Cui","suffix":""},{"id":507827239,"identity":"042583c0-1b5b-47e4-8f45-31bf6c160799","order_by":2,"name":"Jinxin Zhang","email":"","orcid":"","institution":"Ningxia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Jinxin","middleName":"","lastName":"Zhang","suffix":""},{"id":507827240,"identity":"8f2375b5-540a-4a1b-aeeb-0829edfd3962","order_by":3,"name":"Ying Yang","email":"","orcid":"","institution":"Ningxia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Ying","middleName":"","lastName":"Yang","suffix":""},{"id":507827241,"identity":"57c00ab1-603e-4170-a0dc-e740d376fe18","order_by":4,"name":"Junhao Huo","email":"","orcid":"","institution":"Ningxia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Junhao","middleName":"","lastName":"Huo","suffix":""},{"id":507827244,"identity":"dd4033a7-f44e-445f-8786-7f2505ce4d4d","order_by":5,"name":"Yuyan Ding","email":"","orcid":"","institution":"Ningxia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Yuyan","middleName":"","lastName":"Ding","suffix":""},{"id":507827246,"identity":"b3b6c723-e1ce-46f6-bf13-09ed689ea9a4","order_by":6,"name":"Jingni Zhang","email":"","orcid":"","institution":"Qinghai Provincial People’ s Hospital","correspondingAuthor":false,"prefix":"","firstName":"Jingni","middleName":"","lastName":"Zhang","suffix":""},{"id":507827249,"identity":"966b625a-bb30-4b05-b3a6-d408eac27b66","order_by":7,"name":"Shulan He","email":"","orcid":"","institution":"Ningxia Medical University","correspondingAuthor":false,"prefix":"","firstName":"Shulan","middleName":"","lastName":"He","suffix":""},{"id":507827251,"identity":"ebd1fa29-e052-4113-8b5c-bfbf836157e6","order_by":8,"name":"Jiangping Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAr0lEQVRIiWNgGAWjYBACPmaGBIYPUI4EUVrYgFoYZ5CmBYiZeUjTws7w7LHtjsPRBgeYD97mYbDLI8Zh6ca5Z9JyNxxgS7bmYUguJkZLmnRumw1QC4+ZNA/DgcQGorRYtkkAtfB/I0ELI8QWNqK1pBv2tqXlzjzMZmw5xyCZsBZ+/jNpD362Hc7tO9788MabCjvCWhgYeNIgNDOIMCCsHgjYjxGlbBSMglEwCkYwAABoWjMPdzKLfQAAAABJRU5ErkJggg==","orcid":"","institution":"Ningxia Medical University","correspondingAuthor":true,"prefix":"","firstName":"Jiangping","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2025-08-20 06:53:20","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7414213/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7414213/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":90363941,"identity":"cf409f34-81b8-43d5-abf6-96b06de48efc","added_by":"auto","created_at":"2025-09-02 02:12:29","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":1172718,"visible":true,"origin":"","legend":"\u003cp\u003eParticipant recruitment and exclusion flowchart.\u003c/p\u003e","description":"","filename":"Fig.1Participantrecruitmentandexclusionflowchart.png","url":"https://assets-eu.researchsquare.com/files/rs-7414213/v1/446bdd32a46362fa6010189f.png"},{"id":90363938,"identity":"e089a6a2-4e81-4c1f-9db3-057978c125e7","added_by":"auto","created_at":"2025-09-02 02:12:29","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":1274951,"visible":true,"origin":"","legend":"\u003cp\u003eKaplan-Meier survival curve for ACD, AD and VD.\u003c/p\u003e","description":"","filename":"Fig.2KaplanMeiersurvivalcurveforACDADandVD.png","url":"https://assets-eu.researchsquare.com/files/rs-7414213/v1/31889a46c0378dfe347fa2e0.png"},{"id":90363939,"identity":"f2af33c0-8941-42d5-9985-26f044558362","added_by":"auto","created_at":"2025-09-02 02:12:29","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":1908611,"visible":true,"origin":"","legend":"\u003cp\u003eROC curve for cognitive decline, ACD and its subtypes.\u003c/p\u003e","description":"","filename":"Fig.3ROCcurve..png","url":"https://assets-eu.researchsquare.com/files/rs-7414213/v1/3123110fd553c71fb3339bf4.png"},{"id":91122276,"identity":"58546956-9bd7-43bb-a140-cbda7323915f","added_by":"auto","created_at":"2025-09-11 19:16:39","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3795646,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7414213/v1/d12e214d-eff1-4866-ab2f-f9a9370b500d.pdf"},{"id":90365677,"identity":"fb0c6fd2-523d-4f7d-802e-c8e50708536f","added_by":"auto","created_at":"2025-09-02 02:28:29","extension":"tif","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":3316135,"visible":true,"origin":"","legend":"","description":"","filename":"Graphicalabstract..tif","url":"https://assets-eu.researchsquare.com/files/rs-7414213/v1/23274280cba3adaa98bc134a.tif"},{"id":90363946,"identity":"487c0b01-1a7e-4710-a875-4eb7dc06ce8c","added_by":"auto","created_at":"2025-09-02 02:12:29","extension":"docx","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":1143899,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementarymaterial.docx","url":"https://assets-eu.researchsquare.com/files/rs-7414213/v1/14f69179b9ffff400ef2a76c.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Association of triglyceride-glucose index (TyG) and a body shape index (ABSI) with cognitive decline and dementia risk","fulltext":[{"header":"Introduction","content":"\u003cp\u003eWith the intensification of global population aging, the prevalence of age-related cognitive decline and dementia is projected to rise significantly worldwide\u003csup\u003e[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]\u003c/sup\u003e. Cognitive decline is a gradual reduction in cognitive function from a normal level, while dementia is its severe stage with common subtypes including Alzheimer's disease (AD) and vascular dementia (VD)\u003csup\u003e[\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]\u003c/sup\u003e. Currently, there is no effective cure for dementia; treatments can only slow its progression\u003csup\u003e[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]\u003c/sup\u003e. Therefore, early identification of risk factors for cognitive decline and dementia is crucial for implementing preventive measures and timely interventions.\u003c/p\u003e\u003cp\u003eThe triglyceride-glucose index (TyG), derived from fasting triglycerides (TG) and fasting plasma glucose (FPG), is a straightforward and cost-effective measure that can serve as a useful tool for assessing IR\u003csup\u003e[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]\u003c/sup\u003e. Insulin resistance (IR), characterized by reduced effectiveness of insulin in promoting glucose uptake and utilization, is closely related to obesity, particularly visceral obesity, which further exacerbates metabolic disorders in the body\u003csup\u003e[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]\u003c/sup\u003e. Numerous studies have confirmed that IR and obesity are significant risk factors for various chronic diseases, such as cardiovascular disease (CVD), type 2 diabetes, and cognitive decline\u003csup\u003e[\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]\u003c/sup\u003e. A body shape index (ABSI) calculated from waist circumference (WC), body mass index (BMI) and height, is a novel metric for evaluating visceral fat content independently of BMI and outperforms traditional obesity indicators (BMI, WC, waist-to-height ratio[WHtR]) in assessing metabolic risks\u003csup\u003e[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]\u003c/sup\u003e. Although some studies suggest a link between ABSI and cognitive decline and dementia, longitudinal evidence remains scarce. Additionally, although previous studies have demonstrated the joint effects of TyG and ABSI on CVD and stroke\u003csup\u003e[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e, the combined impact of these indices on cognitive decline and dementia remains unclear.\u003c/p\u003e\u003cp\u003eTherefore, based on prior research\u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e, we constructed the TyG-ABSI index to explore the potential value of TyG, ABSI and TyG-ABSI indices in predicting cognitive decline and dementia risk, providing new tools for early identification and intervention.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.1 Study design and population\u003c/h2\u003e\u003cp\u003eThe UK Biobank is a large prospective cohort study with over 500,000 participants recruited from 2006 to 2010 across 22 United Kingdom (UK) centers\u003csup\u003e[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u003c/sup\u003e. Participants, all registered with the National Health Service (NHS), completed detailed questionnaires, underwent physical assessments, and provided biological samples at baseline for long-term follow-up. The UK Biobank study received ethical approve from the North West Multi-center Research Ethics Committee (REC reference: 11/NW/0382), and written informed consents were obtained from all participants. The data from UK Biobank project application id 98124.\u003c/p\u003e\u003cp\u003eThe study initially included 502,368 participants from the UK Biobank. First, we excluded 241 participants with pre-existing dementia. For the cross-sectional analysis of the relationship between TyG, ABSI, and TyG-ABSI indices and cognitive decline: 453,406 participants with missing cognitive test data were excluded, followed by 9,046 with missing TG, glucose, height, BMI or WC data, and 2,844 with missing covariate data. Ultimately, 36,831 participants were included in the analysis. In addition, for the cohort study exploring the relationship between TyG, ABSI and TyG-ABSI indices and dementia and its subtypes: We excluded 75,000 participants with missing TG, glucose, height, BMI or WC data, and 56,383 with missing covariate data. Ultimately, 370,744 participants were included in the dementia analysis. Flowchart is shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.2 Assessment of TyG, ABSI and TyG-ABSI indices\u003c/h2\u003e\u003cp\u003eIn the UK Biobank, peripheral venous blood samples were collected from all participants at baseline, with the collection protocol validated for the UK Biobank study\u003csup\u003e[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]\u003c/sup\u003e. Given that blood samples are intended for the diagnosis of various diseases, and considering the challenges of collecting and processing fasting blood samples in a distributed assessment center setting with a large population, blood sample collection is performed randomly. Non-fasting serum biochemistry (glucose, TG) was measured using a Beckman Coulter AU5800 clinical chemistry analyzer in a central laboratory, with coefficients of variation\u0026thinsp;\u0026lt;\u0026thinsp;2% for both analytes. TyG and ABSI were calculated using established formulas: TyG\u0026thinsp;=\u0026thinsp;ln[TG (mg/dL)\u0026times;FPG (mg/dL)/2], ABSI\u0026thinsp;=\u0026thinsp;WC (m)/[BMI^(2/3)\u0026times;height^(1/2) (m)]\u003csup\u003e[\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]\u003c/sup\u003e. The TyG-ABSI index was derived by multiplying TyG and ABSI, after which TyG, ABSI, and TyG-ABSI indices were categorized into quartiles for analysis based on prior research, respectively\u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003e2.3 Assessment of Cognitive Function\u003c/h2\u003e\u003cp\u003eAs previously detailed\u003csup\u003e[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]\u003c/sup\u003e, self-administered computerized cognitive tests have been developed for population-scale assessment in the UK Biobank. These tests include reaction time (RT), verbal-numerical reasoning, numeric memory, prospective memory, and reasoning. The details of the cognitive testing assessments in this study are described elsewhere\u003csup\u003e[\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]\u003c/sup\u003e. Data reduction was applied to the baseline assessment cognitive test scores, using PCA. We use the first principal component (explaining 43.03% variance) as the cognitive score, where higher values indicated better performance. Currently, no formal standard of cutoff point was established to identify low cognitive function in the UK Biobank. In accordance with previously published studies\u003csup\u003e[\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e, \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]\u003c/sup\u003e, this study defined the 25th quantile of cognitive test score as the cutoff point.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\u003ch2\u003e2.4 Assessment of dementia\u003c/h2\u003e\u003cp\u003eThe cases of ACD are identified based on the algorithmically defined outcomes (field 42018). In contrast, the cases of AD and VD are determined by the earliest first occurrence among the algorithmically-defined outcomes (fields 42020 and 42022) and the first occurrences (fields 130836 and 130838)\u003csup\u003e[\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]\u003c/sup\u003e. Inpatient admissions records were available from the Hospital Episode Statistics for England, the Scottish Morbidity Record for Scotland, and the Patient Episode Database for Wales. Death registry records were available from the NHS England for England and Wales, and the Information and Statistics Division for Scotland. The ICD 9\u0026ndash;10 codes used to ascertain dementia were selected and validated by the UK Biobank outcome adjudication group (Supplemental File Table \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e2.5 Covariates\u003c/h2\u003e\u003cp\u003eCovariates were selected based on prior studies\u003csup\u003e[\u003cspan additionalcitationids=\"CR27\" citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]\u003c/sup\u003e, including sociodemographic characteristics (age, sex, ethnicity, residence, educational background), lifestyle factors (smoking and drinking status, Townsend Deprivation Index [TDI]), family or medical history (family history of diabetes, personal history of stroke and anxiety) and laboratory measures (systolic blood pressure [SBP], high-density lipoprotein cholesterol [HDL-C], C-reactive protein [CRP]). Age was categorized per the latest WHO criteria (\u0026le;\u0026thinsp;65 years, \u0026gt;65 years), while ethnicity (White, other), residence (urban, rural), education (college or above, others), drinking status (current, former, never), smoking status (current, former, never), TDI quartiles (a composite measure of deprivation based on unemployment, non-car ownership, non-home ownership, and household overcrowding, derived from residential postcodes where negative values indicate higher socioeconomic status)\u003csup\u003e[\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]\u003c/sup\u003e, history of stroke and anxiety (yes, no), and family history of diabetes (yes, no) were also recorded.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e2.6 Statistical Analysis\u003c/h2\u003e\u003cp\u003eBaseline characteristics of cognitive function and dementia were grouped by TyG-ABSI quartiles. For continuous variables, we assessed the distribution using the Shapiro-Wilk test. Normally distributed continuous variables were presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation (SD) and compared using one-way analysis of variance (ANOVA). For variables with a skewed distribution, we used the median and interquartile range (IQR) and applied the Kruskal-Wallis test for comparisons. Categorical variables were summarized as frequencies and percentages and compared using the chi-square test. Kaplan-Meier curves were drawn to estimate cumulative incidence of dementia and its subtypes, with log-rank tests used to assess group differences. Restricted cubic spline (RCS) regression was used to explore the potential nonlinear associations of TyG, ABSI and TyG-ABSI indices with cognitive decline and dementia risk. Logistic regression models were used to examine independent associations of TyG, ABSI and TyG-ABSI indices with cognitive decline, reported as adjusted odds ratios (OR) and 95% CIs. For cox hazard regression models examining associations of TyG, ABSI and TyG-ABSI indices with ACD and subtypes, stratified cox regressions were applied to covariates violating proportional hazards assumptions, reported as adjusted hazard ratios (HR) and 95% confidence intervals (95% CIs). Model 1 was unadjusted; Model 2 was adjusted for age, sex, ethnicity, and residence; Model 3 was further adjusted for education level, alcohol and tobacco use, TDI, diabetes family history, anxiety and stroke history, SBP, HDL-C and CRP levels. Evaluating diagnostic value using Receiver Operating Characteristic (ROC) curves.\u003c/p\u003e\u003cp\u003eSubgroup analyses were performed to examine the relationships of TyG, ABSI and TyG-ABSI indices with cognitive decline, dementia and its subtypes across different groups, using fully adjusted models. Finally, several sensitivity analyses were conducted to assess the robustness of our findings: (1) excluding participants who developed dementia and its subtypes within 2 years of follow-up; (2) performing multiple imputation by chained equations for participants with missing covariate values, and details provided in there. (Supplementary File Table S2); (3) conducting analyses after removing outliers; (4) based on relevant literature\u003csup\u003e[\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]\u003c/sup\u003e, adding sleep duration to the fully adjusted model for analysis; (5) fitting a competing risk model with death as a competing event for dementia and its subtypes\u003csup\u003e[\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eData cleaning was performed using Stata 18, and all statistical analyses were conducted using R (Version 4.4.3). Two-tailed tests were used to determine statistical significance, with a significance threshold of \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05.\u003c/p\u003e\u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Results of Cognitive decline.\u003c/h2\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e shows the baseline characteristics of the cognitive function. Among the 36,831 participants included in the analysis of cognitive function baseline characteristics, all variables exhibited statistically significant differences between groups (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Compared with the first quartile (Q1), the fourth quartile (Q4) of TyG-ABSI included a higher proportion of men, more individuals residing in the region, lower educational levels and more severe smoking status. Further categorization by disease status showed 9,197 individuals with cognitive decline (Supplementary File Table S3).\u003c/p\u003e\u003cp\u003eAs the TyG, ABSI and TyG-ABSI indices increase, the RCS of cognitive decline tends to rise (Supplementary File Fig.\u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e-\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). The associations of TyG, ABSI and TyG-ABSI indices with cognitive decline are shown in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. In Model 3, using Q1 as the reference group, participants in Q4 of TyG, ABSI and TyG-ABSI had HR of 1.16 (95% CI: 1.07\u0026ndash;1.25), 1.36 (95% CI: 1.25\u0026ndash;1.47), and 1.36 (95% CI: 1.25\u0026ndash;1.48) for cognitive decline, respectively.\u003c/p\u003e\u003cp\u003eTyG, ABSI and TyG-ABSI indices and cognitive subgroup analyses had interaction with sex, ethnicity, TDI and anxiety, respectively (\u003cem\u003eP\u003c/em\u003e for interaction\u0026thinsp;\u0026lt;\u0026thinsp;0.05; Supplementary File Table S4-6). Consistent findings were observed in sensitivity analyses (Supplementary File Table S7-9).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003e3.2 Results of dementia and its subtypes.\u003c/h2\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e shows the baseline characteristics of dementia. In the baseline analysis of dementia involving 370,744 individuals, the maximum follow-up time was approximately 18 years. Among them, 85.39% were aged 65 and below, and 54.05% were female. Further categorization by disease status showed 6,938 cases of ACD, 3,066 of AD, 1,545 of VD (Supplementary File Table S10-12).\u003c/p\u003e\u003cp\u003eKaplan-Meier curves showed cumulative incidence of ACD and its subtypes increased with higher TyG, ABSI and TyG-ABSI quartiles (all log-rank \u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). ACD, AD and VD Kaplan-Meier curves are in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA-C, respectively.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eWith increasing TyG, ABSI and TyG-ABSI indices, the RCS of ACD and its subtypes all showed an upward trend (Supplementary File Fig.\u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003eS1\u003c/span\u003e-\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Associations of TyG, ABSI and TyG-ABSI indices with ACD and its subtypes are shown in Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e. After adjusting for all potential confounding variables, in Model 3 of ACD, using Q1 as the reference group, participants in Q4 of TyG, ABSI and TyG-ABSI had HR of 1.33 (95% CI: 1.13\u0026ndash;1.57), 1.79 (95% CI: 1.65\u0026ndash;1.94) and 1.67 (95% CI: 1.54\u0026ndash;1.82); For AD, using Q1 as the reference group, participants in Q4 of TyG, ABSI and TyG-ABSI had HR of 1.14 (95% CI: 1.02\u0026ndash;1.29), 1.58 (95% CI: 1.39\u0026ndash;1.78) and 1.54 (95% CI: 1.36\u0026ndash;1.75); For VD, using Q1 as the reference group, participants in Q4 of TyG, ABSI and TyG-ABSI had HR of 1.18 (95% CI: 1.09\u0026ndash;1.27), 1.98 (95% CI: 1.64\u0026ndash;2.40) and 1.67 (95% CI: 1.54\u0026ndash;1.82), respectively.\u003c/p\u003e\u003cp\u003eSubgroup analyses of the associations between TyG, ABSI and TyG-ABSI indices and dementia and its subtypes revealed significant interactions with age, sex, alcohol status, and TDI (P for interaction\u0026thinsp;\u0026lt;\u0026thinsp;0.05; Supplementary File Table S13-21). Finally, Consistent findings were observed in sensitivity analyses (Supplementary File Table S22-26).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003e3.3 The results of ROC\u003c/h2\u003e\u003cp\u003eROC curves were based on Model 3. In the ROC curve analysis for cognition, the area under the curve (AUC) of ABSI and TyG-ABSI was all 0.671(Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eA). For ACD, compared with the alone TyG, TyG-WC, TyG-BMI and TyG-WHtR indices, ABSI and TyG-ABSI had the higher AUC for predicting risk (0.694 vs 0.707 vs 0.694 vs 0.692 vs 0.699 vs 0.705; Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eB). Similarly, ABSI and TyG-ABSI also demonstrated the higher AUC for predicting AD risk when compared with the TyG, TyG-WC, TyG-BMI, and TyG-WHtR indices (0.724 vs 0.730 vs 0.722 vs 0.722 vs 0.723 vs 0.729; Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eC). Furthermore, for VD, compared with the TyG, TyG-WC, TyG-BMI and TyG-WHtR indices, ABSI and TyG-ABSI had the higher AUC for predicting risk (0.813 vs 0.820 vs 0.815 vs 0.814 vs 0.819 vs 0.819; Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eD).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study examined the associations of the TyG, ABSI and TyG-ABSI indices with the risks of cognitive decline, dementia and its subtypes, respectively. Here, we report the following key findings: (1) The study revealed significant associations between the TyG index and ABSI with cognitive decline, dementia and its subtypes, particularly providing temporal evidence for the causal pathway between ABSI and dementia. (2) The combined TyG-ABSI index, derived from TyG and ABSI, also showed significant associations with cognitive impairment, dementia and its subtypes; (3) Moreover, compared with the TyG index alone and its derived indices, ABSI and TyG-ABSI showed relatively higher AUCs when predicting cognitive decline and dementia.\u003c/p\u003e\u003cp\u003eA meta-analysis has shown that TyG index is positively correlated with the risk of cognitive impairment and dementia, findings that align with our results\u003csup\u003e[\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]\u003c/sup\u003e. Likewise, studies conducted in elderly populations have consistently shown that individuals in the highest quartile (Q4) of the TyG index exhibit a markedly increased risk of cognitive impairment compared with those in the lowest quartile (Q1)\u003csup\u003e[\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]\u003c/sup\u003e. The TyG index is a simple and reliable marker of insulin resistance; its contribution to cognitive decline and dementia likely arises from impairing cerebral insulin-signaling pathways and from exacerbating neurodegenerative processes through the induction of oxidative stress and inflammatory responses\u003csup\u003e[\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e]\u003c/sup\u003e. Additionally, the study results of Szu-Han Huang\u003csup\u003e[\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]\u003c/sup\u003e and another cross-sectional study\u003csup\u003e[\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e]\u003c/sup\u003e respectively demonstrate that higher ABSI values are significantly associated with lower cognitive scores and a higher risk of dementia. As an indicator that is not influenced by the \u0026ldquo;obesity paradox,\u0026rdquo; ABSI provides a more precise reflection of body fat distribution, particularly in terms of visceral fat accumulation\u003csup\u003e[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e]\u003c/sup\u003e. The mechanisms by which ABSI affects cognition and dementia may include the following: Firstly, elevated ABSI values may trigger chronic inflammation and oxidative stress, releasing pro-inflammatory mediators that cross the blood\u0026ndash;brain barrier to ignite neuroinflammation, thereby impairing cognitive function\u003csup\u003e[\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e, \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]\u003c/sup\u003e. Secondly, ABSI elevation may also impair brain function by inducing gut microbiota dysbiosis and subsequently influencing the central nervous system via the vagus nerve\u003csup\u003e[\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eIn recent years, most researchers have combined the TyG index with obesity markers such as BMI, WC, and waist-to-height ratio (WHtR) to achieve superior diagnostic accuracy, and ABSI is no exception. Previous studies have combined TyG and ABSI to predict the risk of other related diseases, such as a cohort study found that the combined effect of TyG and ABSI had a significant impact on stroke risk\u003csup\u003e[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]\u003c/sup\u003e. However, the association between the TyG-ABSI index and cognitive decline or dementia remains unclear. Therefore, we conducted this study and the results indicate that the TyG-ABSI index not only has a significant impact on cognitive decline and dementia but also exhibits superior predictive value compared to the individual TyG index or its derived indices, such as TyG-BMI, TyG-WC and TyG-WHtR, similar with the study by Hao-Ming He\u003csup\u003e[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/sup\u003e. IR and visceral obesity have each been conclusively established as independent risk factors for cognitive decline and dementia; yet when they coexist, the resulting cognitive deterioration and dementia are markedly exacerbated, likely through the following mechanisms: they can induce endothelial dysfunction, impairing blood vessel function and reducing cerebral blood flow, which negatively impacts cognitive function\u003csup\u003e[\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]\u003c/sup\u003e; they jointly accelerate atherosclerotic plaque formation, progressively occluding cerebral vasculature and precipitating cognitive decline through sustained hypoperfusion\u003csup\u003e[\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]\u003c/sup\u003e; they can further promote dementia by modulating Aβ plaque deposition, disrupting synaptic function, and triggering neuroinflammation\u003csup\u003e[\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]\u003c/sup\u003e;they can further promote dementia by modulating Aβ plaque deposition, disrupting synaptic function, and triggering neuroinflammation\u003csup\u003e[\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]\u003c/sup\u003e༛they also influence the abnormal phosphorylation of tau proteins, leading to neurofibrillary tangles that impair neuronal function and contribute to neuronal death\u003csup\u003e[\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e]\u003c/sup\u003e. These mechanisms act in concert, ultimately leading to neurodegenerative changes and increasing the risk of cognitive decline and dementia\u003csup\u003e[\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e]\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eFurthermore, our study further indicates that, compared with the combined TyG-ABSI index, ABSI alone performs slightly better in predictive ability. We speculate that this may stem from interaction effects among the variables. In this study, we found that the associations of TyG, ABSI, and TyG-ABSI indices with cognitive decline and dementia may vary by age, sex, and alcohol consumption status, such as obesity and IR during middle age have a more pronounced negative impact on cognitive function due to the body\u0026rsquo; s relatively stronger metabolic capacity at this stage, thereby amplifying long-term effects on the brain\u003csup\u003e[\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]\u003c/sup\u003e. In addition, Cognitive impairment risk rises most in postmenopausal women, driven by falling estrogen, growing visceral fat, and worsening IR\u003csup\u003e[\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e]\u003c/sup\u003e. Thus, Further analyses of the relationship between TyG-ABSI and cognitive decline and dementia are urgently needed.\u003c/p\u003e\u003cp\u003eThese findings establish a causal link between ABSI and dementia and demonstrate that the ABSI and TyG-ABSI index further enhances predictive accuracy of cognitive decline and dementia, but despite the achievements of this study, several limitations should be acknowledged. First, the study sample was primarily drawn from the population in the United Kingdom, which may limit the generalizability of the results to other countries. Second, the assessment of cognitive function relied predominantly on standardized psychological measurement tools, without the support of objective indicators such as neuroimaging. Third, while the TyG, ABSI, and TyG-ABSI indices were found to be associated with cognitive decline and dementia, the potential influence of unmeasured confounding factors cannot be excluded. Fourth, In the UK Biobank, all covariates were measured at baseline, which may lead to potential biases in capturing long-term changes in participants' health status and behaviors over the follow-up period. Finally, without examining the dynamic changes of the ABSI and TyG indices, detailed insights into the development of the combined indices cannot be obtained. Future research should expand the sample to diverse populations globally to validate the generalizability of the TyG-ABSI index. Incorporating objective measures like neuroimaging could elucidate the mechanisms linking TyG-ABSI to cognitive decline and dementia. Additionally, comparing ABSI with other obesity indicators and dynamically tracking changes in TyG and ABSI indices would provide stronger evidence for clinical application.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn UK Biobank, revealed significant associations between the TyG index, ABSI and the combined TyG-ABSI index with cognitive decline and dementia risk. The ABSI and TyG-ABSI, which integrates both IR and abdominal obesity, showed superior predictive performance for cognitive decline and dementia, thereby offering a powerful tool for early risk detection.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eACD\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eall-cause dementia\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eAD\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ealzheimer's disease\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eVD\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003evascular dementia\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eTyG\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003etriglyceride-glucose index\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eTG\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003etriglycerides\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eFPG\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003efasting plasma glucose\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eIR\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003einsulin resistance\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eCVD\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ecardiovascular disease\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eABSI\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ea body shape index\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eWC\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ewaist circumference\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eBMI\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ebody mass index\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eWHtR\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ewaist-to-height ratio\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eTyG-WC\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eTriglyceride-glucose index-Waist Circumference\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eTyG-BMI\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eTriglyceride-glucose index-Body Mass Index\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eTyG-WHtR\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eTriglyceride-glucose index-Waist-to-Height Ratio\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eTyG-ABSI\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eTriglyceride Glucose-A Body Shape Index\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eTDI\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003etownsend deprivation index\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eSBP\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003esystolic blood pressure\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eHDL-C\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ehigh-density lipoprotein cholesterol\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eCRP\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eC-reactive protein\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eSD\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003estandard deviation\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eANOVA\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eone-way analysis of variance\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eIQR\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003einterquartile range\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eRCS\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003erestricted cubic spline\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eOR\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eodds ratios\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003e95% CIs\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003e95% confidence intervals\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eHR\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ehazard ratios\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eROC\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ereceiver Operating Characteristic\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eQ1\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ethe first quartile\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eQ4\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ethe fourth quartile.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eUK Biobank data has approval from the North West Multi-centre Research Ethics Committee (MREC) (REC reference: 21/NW/0157). All the participants provided written informed consent.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data supporting this study's findings are available from the UK Biobank project site, subject to registration and application process. Further details can be found at https://www.ukbiobank.ac.uk.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere exist no competing interests linked to the dissemination of this manuscript; this document has received approbation from all contribu tors for dissemination.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by 2024 Kunlun Talents of Qinghai Province•High-end Innovation and Entrepreneurship Talent Project and the Open competition mechanism to select the best candidates for key research projects of Ningxia Medical University (No. XJKF230203).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors' contributions:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eShuangshuang Yang: Writing-original draft, Software, Formal analysis, Data curation, Conceptualization. Lili Cui: Writing-original draft, Formal analysis, Data curation. Jinxin Zhang: Writing-original draft, Formal analysis. Ying Yang: Writing-original draft, Formal analysis. Junhao Huo: Writing-original draft, Formal analysis. Yuyan Ding: Writing-original draft. Jingni Zhang: Writing-review \u0026amp; editing. Shulan He: Writing-review \u0026amp; editing. Jiangping Li: Writing-review \u0026amp; editing, Supervision, Conceptualization.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study is conducted under application number 98124 for UK Biobank Resource. The authors gratefully thank all the participants and professionals contributing to the UK Biobank.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eCollaborators GBDN. Global, regional, and national burden of neurological disorders, 1990\u0026ndash;2016: a systematic analysis for the Global Burden of Disease Study 2016. 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Curr Issues Mol Biol. 2023;45:7845\u0026ndash;61.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eBaseline characteristics of cognitive function categorized by TyG-ABSI index.\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003cth style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCharacteristic\u003c/div\u003e\n \u003c/th\u003e\n \u003cth style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTotal (N\u0026thinsp;=\u0026thinsp;36831)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1 (N\u0026thinsp;=\u0026thinsp;9213)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2 (N\u0026thinsp;=\u0026thinsp;9206)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3 (N\u0026thinsp;=\u0026thinsp;9215)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4 (N\u0026thinsp;=\u0026thinsp;9197)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Italic\"\u003eP\u003c/span\u003e-value\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" colspan=\"6\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAge at recruitment, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026le;65\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e31677 (86.01)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8456 (91.78)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e7937 (86.22)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e7783 (84.46)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e7501 (81.56)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026gt;65\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5154 (13.99)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e757 (8.22)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1269 (13.78)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1432 (15.54)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1696 (18.44)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13.6458px;\"\u003e\n \u003ctd style=\"height: 13.6458px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSex, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13.6458px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13.6458px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13.6458px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13.6458px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13.6458px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13.6458px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eMale\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e16954 (46.03)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1147 (12.45)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3407 (37.01)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5507 (59.76)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6893 (74.95)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eFemale\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e19877 (53.97)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8066 (87.55)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5799 (62.99)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3708 (40.24)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2304 (25.05)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eEthnicity, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eWhite\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e35614 (96.70)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8940 (97.04)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8933 (97.03)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8944 (97.06)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8797 (95.65)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eOthers\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1217 (3.30)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e273 (2.96)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e273 (2.97)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e271 (2.94)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e400 (4.35)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRegion, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eUrban\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e27635 (75.03)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6772 (73.50)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6849 (74.40)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6972 (75.66)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e7042 (76.57)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRural\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e9196 (24.97)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2441 (26.50)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2357 (25.60)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2243 (24.34)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2155 (23.43)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eEducation, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCollege/Above\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e11908 (32.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3285 (35.66)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2996 (32.54)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2832 (30.73)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2795 (30.39)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eOthers\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e24923 (67.67)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5928 (64.34)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6210 (67.46)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6383 (69.27)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6402 (69.61)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSmoking, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCurrent\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3619 (9.83)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e654 (7.10)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e854 (9.28)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e971 (10.54)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1140 (12.40)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePrevious\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e13142 (35.68)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2688 (29.18)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3073 (33.38)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3418 (37.09)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3963 (43.09)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNever\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e20070 (54.49)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5871 (63.73)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5279 (57.34)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4826 (52.37)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4094 (44.51)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAlcohol, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCurrent\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e34183 (92.81)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8569 (93.01)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8556 (92.94)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8552 (92.81)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8506 (92.49)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePrevious\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1328 (3.61)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e286 (3.10)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e308 (3.35)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e346 (3.75)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e388 (4.22)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNever\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1320 (3.58)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e358 (3.89)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e342 (3.71)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e317 (3.44)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e303 (3.29)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTDI, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e9248 (25.11)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2488 (27.01)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2371 (25.75)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2300 (24.96)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2089 (22.71)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e9194 (24.96)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2438 (26.46)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2362 (25.66)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2242 (24.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2152 (23.40)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e9205 (24.99)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2279 (24.74)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2257 (24.52)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2310 (25.07)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2359 (25.65)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e9184 (24.94)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2008 (21.80)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2216 (24.07)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2363 (25.64)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2597 (28.24)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAnxiety, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e16379 (44.47)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3593 (39.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3994 (43.38)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4280 (46.45)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4512 (49.06)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e20452 (55.53)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5620 (61.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5212 (56.62)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4935 (53.55)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4685 (50.94)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" colspan=\"6\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eDiabetes family history, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e30506 (82.83)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e7819 (84.87)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e7673 (83.35)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e7604 (82.52)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e7410 (80.57)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6325 (17.17)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1394 (15.13)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1533 (16.65)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1611 (17.48)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1787 (19.43)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eStroke, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e35699 (96.93)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e9042 (98.14)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8952 (97.24)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8926 (96.86)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8779 (95.46)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1132 (3.07)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e171 (1.86)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e254 (2.76)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e289 (3.14)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e418 (4.54)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 26px;\"\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSBP\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e82.00\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(75.00, 90.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e79.00 (72.00,86.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e82.00 (75.00,89.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e84.00 (77.00,91.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e85.00 (78.00,92.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eHDL-C\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.41 (1.18, 1.68)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.67 (1.43,1.94)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.49 (1.27,1.73)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.32 (1.15,1.54)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.19 (1.03,1.39)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCRP\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.31 (0.65, 2.67)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.89 (0.47,1.86)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.23 (0.61,2.54)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.46 (0.75,2.89)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.76 (0.93,3.37)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.72 (8.36, 9.12)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.22 (7.98,8.46)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.58 (8.34,8.82)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.86 (8.61,9.12)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e9.30 (9.02,9.61)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eABSI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.08 (0.07, 0.08)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.07 (0.07,0.07)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.07 (0.07,0.08)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.08 (0.08,0.08)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.08 (0.08,0.08)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 26px;\"\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG-WC\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e778.65\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(678.43, 880.93)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e627.19 (580.59,680.62)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e733.59 (683.79,790.94)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e819.80 (766.52,879.90)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e927.93 (861.12,1002.80)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 26px;\"\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG-BMI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e233.95\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(205.25, 267.83)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e202.61 (182.66,227.67)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e224.73 (201.95,253.24)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e242.89 (218.55,271.76)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e265.46 (238.44,297.30)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 26px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG-WHtR\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4.60 (4.06, 5.17)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3.80 (3.52,4.13)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4.37 (4.07,4.73)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4.80 (4.49,5.17)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5.37 (4.98,5.84)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 13px;\"\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG-ABSI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.67 (0.61, 0.72)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.58 (0.56,0.60)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.64 (0.63,0.65)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.69 (0.68,0.70)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.75 (0.73,0.78)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd style=\"height: 13px;\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr style=\"height: 53px;\"\u003e\n \u003ctd style=\"height: 53px;\" colspan=\"7\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAbbreviations: Q1-Q4: Q1 to Q4 represent the first to fourth quartiles of the TyG-ABSI index in ascending order. TDI: Townsend Deprivation Index; SBP: Systolic Blood Pressure; HDL-C: High-Density Lipoprotein Cholesterol; CRP: C-Reactive Protein; TyG: Triglyceride glucose; ABSI: A body shape index; TyG-WC: Triglyceride-glucose index-Waist Circumference; TyG-BMI: Triglyceride-glucose index-Body Mass Index; TyG-WHtR: Triglyceride-glucose index-Waist-to-Height Ratio; TyG-ABSI: Triglyceride Glucose-A Body Shape Index.\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\u0026nbsp;\u0026nbsp;\u003ctable id=\"Tab2\" border=\"1\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eLogistic model results for TyG, ABSI and TyG-ABSI indices with cognitive decline.\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eVariable\u003c/div\u003e\n \u003c/th\u003e\n \u003cth colspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel1\u003c/div\u003e\n \u003c/th\u003e\n \u003cth colspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel2\u003c/div\u003e\n \u003c/th\u003e\n \u003cth colspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel3\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eHR (95%CI)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Italic\"\u003eP\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eHR (95%CI)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Italic\"\u003eP\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eHR (95%CI)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Italic\"\u003eP\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.14 (1.06\u0026thinsp;~\u0026thinsp;1.22)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.13 (1.05\u0026thinsp;~\u0026thinsp;1.21)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.11 (1.04\u0026thinsp;~\u0026thinsp;1.19)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.003\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.18 (1.11\u0026thinsp;~\u0026thinsp;1.27)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.20 (1.12\u0026thinsp;~\u0026thinsp;1.28)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.16 (1.07\u0026thinsp;~\u0026thinsp;1.24)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.18 (1.10\u0026thinsp;~\u0026thinsp;1.26)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.21 (1.13\u0026thinsp;~\u0026thinsp;1.30)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.16 (1.07\u0026thinsp;~\u0026thinsp;1.25)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eABSI\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.05 (0.98\u0026thinsp;~\u0026thinsp;1.12)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.159\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.12 (1.04\u0026thinsp;~\u0026thinsp;1.20)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.10 (1.03\u0026thinsp;~\u0026thinsp;1.18)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.008\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.05 (0.98\u0026thinsp;~\u0026thinsp;1.12)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.145\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.23 (1.15\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.20 (1.11\u0026thinsp;~\u0026thinsp;1.29)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.22 (1.14\u0026thinsp;~\u0026thinsp;1.30)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.44 (1.33\u0026thinsp;~\u0026thinsp;1.56)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.36 (1.25\u0026thinsp;~\u0026thinsp;1.47)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eTyG-ABSI\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.11 (1.04\u0026thinsp;~\u0026thinsp;1.19)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.002\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.16 (1.08\u0026thinsp;~\u0026thinsp;1.24)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.14 (1.06\u0026thinsp;~\u0026thinsp;1.22)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.15 (1.08\u0026thinsp;~\u0026thinsp;1.23)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.29 (1.20\u0026thinsp;~\u0026thinsp;1.39)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.25 (1.15\u0026thinsp;~\u0026thinsp;1.35)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.24 (1.16\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.42 (1.31\u0026thinsp;~\u0026thinsp;1.53)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.36 (1.25\u0026thinsp;~\u0026thinsp;1.48)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAbbreviations: TyG: Triglyceride glucose; ABSI: A body shape index; TyG-ABSI: Triglyceride Glucose-A Body Shape Index; OR (95% CI): Odds Ratio (95% Confidence Interval); TDI: Townsend Deprivation Index; CRP: C-Reactive Protein; SBP: Systolic Blood Pressure; HDL-C: High-Density Lipoprotein Cholesterol.\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel1: Crude.\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel2: Adjusted for age, sex, ethnicity, and region.\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel3: Age, sex, ethnicity, region, education level, smoking and alcohol status, TDI, anxiety, stroke history, diabetes family history, CRP, SBP, and HDL-C were adjusted for.\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cdiv class=\"gridtable\"\u003e\n \u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eBaseline characteristics of dementia categorized by TyG-ABSI index.\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCharacteristic\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTotal (N\u0026thinsp;=\u0026thinsp;370,744)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1(N\u0026thinsp;=\u0026thinsp;92,808)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2(N\u0026thinsp;=\u0026thinsp;92,725)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3(N\u0026thinsp;=\u0026thinsp;92,648)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4(N\u0026thinsp;=\u0026thinsp;92,563)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Italic\"\u003eP\u003c/span\u003e-value\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAge at recruitment, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026le;65\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e316,571 (85.39)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e84,689 (91.25)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e79,969 (86.24)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e77,101 (83.22)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e74,812 (80.82)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026gt;65\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e54,173 (14.61)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8,119 (8.75)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e12,756 (13.76)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e15,547 (16.78)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e17,751 (19.18)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSex, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eMale\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e170,349 (45.95)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e11,894 (12.82)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e34,422 (37.12)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e54,306 (58.62)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e69,727 (75.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eFemale\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e200,395 (54.05)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e80,914 (87.18)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e58,303 (62.88)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e38,342 (41.38)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e22,836 (24.67)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eEthnicity, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eWhite\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e352,090 (94.97)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e87,692 (94.49)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e88,109 (95.02)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e88,388 (95.40)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e87,901 (94.96)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eOthers\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e18,654 (5.03)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5,116 (5.51)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4,616 (4.98)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4,260 (4.60)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4,662 (5.04)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRegion, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eUrban\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e318,077 (85.79)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e79,031 (85.16)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e79,358 (85.58)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e79,576 (85.89)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e80,112 (86.55)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRural\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e52,667 (14.21)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e13,777 (14.84)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e13,367 (14.42)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e13,072 (14.11)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e12,451 (13.45)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eEducation, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCollege/Above\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e121,246 (32.70)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e34,802 (37.50)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e30,898 (33.32)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e29,136 (31.45)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e26,410 (28.53)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eOthers\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e249,498 (67.30)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e58,006 (62.50)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e61,827 (66.68)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e63,512 (68.55)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e66,153 (71.47)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSmoking, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCurrent\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e38,178 (10.30)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6,845 (7.38)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8,852 (9.55)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e10,067 (10.87)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e12,414 (13.41)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePrevious\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e129,424 (34.91)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e27,397 (29.52)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e30,502 (32.90)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e33,697 (36.37)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e37,828 (40.87)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNever\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e203,142 (54.79)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e58,566 (63.10)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e53,371 (57.56)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e48,884 (52.76)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e42,321 (45.72)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAlcohol, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCurrent\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e342,037 (92.26)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e86,020 (92.69)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e85,696 (92.42)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e85,630 (92.43)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e84,691 (91.50)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePrevious\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e13,061 (3.52)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2,830 (3.05)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3,054 (3.29)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3,230 (3.49)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3,947 (4.26)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNever\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e15,646 (4.22)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3,958 (4.26)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3,975 (4.29)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3,788 (4.09)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3,925 (4.24)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTDI, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e93,125 (25.12)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e24,387 (26.28)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,765 (25.63)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,251 (25.10)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e21,722 (23.47)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e92,549 (24.96)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,736 (25.58)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,230 (25.05)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,226 (25.07)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e22,357 (24.15)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e92,530 (24.96)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,226 (25.03)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,095 (24.91)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,142 (24.98)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,067 (24.92)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e92,540 (24.96)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e21,459 (23.12)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e22,635 (24.41)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23,029 (24.86)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e25,417 (27.46)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAnxiety, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e162,265 (43.77)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e36,116 (38.91)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e39,576 (42.68)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e42,370 (45.73)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e44,203 (47.75)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e208,479 (56.23)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e56,692 (61.09)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e53,149 (57.32)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e50,278 (54.27)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e48,360 (52.25)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"6\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eDiabetes family history, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e306,043 (82.55)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e78,049 (84.10)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e76,996 (83.04)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e76,358 (82.42)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e74,640 (80.64)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e64,701 (17.45)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e14,759 (15.90)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e15,729 (16.96)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e16,290 (17.58)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e17,923 (19.36)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eStroke, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eNo\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e357,843 (96.52)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e90,942 (97.99)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e89,855 (96.90)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e89,106 (96.18)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e87,940 (95.01)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eYes\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e12,901 (3.48)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1,866 (2.01)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2,870 (3.10)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3,542 (3.82)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4,623 (4.99)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSBP\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e82 (75.00,89.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e78 (72.00,86.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e81 (75.00,89.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e83 (76.00,90.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e84 (77.00,91.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eHDL-C\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.40 (1.17,1.68)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.67 (1.44,1.93)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.48 (1.27,1.72)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.33 (1.14,1.55)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.18 (1.02,1.37)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCRP\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.32 (0.66,2.75)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.89 (0.45,1.89)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.24 (0.61,2.62)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.47 (0.76,2.98)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.79 (0.95,3.43)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.68 (8.31,9.07)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.17 (7.94,8.41)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.53 (8.29,8.78)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.82 (8.57,9.07)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e9.27 (8.99,9.58)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eABSI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.08 (0.07,0.08)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.07 (0.07,0.07)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.08 (0.07,0.08)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.08 (0.08,0.08)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.08 (0.08,0.08)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG-WC\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e781.72 (680.71,884.89)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e628.59 (581.27,684.06)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e736.64 (685.96,795.36)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e822.97 (769.22,883.19)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e931.40 (866.06,1,009.51)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG-BMI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e233.08 (204.50,267.04)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e201.45 (181.88,226.68)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e223.82 (201.51,252.19)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e241.79 (218.10,270.38)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e264.76 (238.29,296.32)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG-WHtR\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4.63 (4.08,5.20)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3.81 (3.53,4.15)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4.39 (4.09,4.76)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4.82 (4.51,5.20)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5.40 (5.02,5.87)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG-ABSI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.67 (0.62,0.72)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.58 (0.56,0.60)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.64 (0.63,0.66)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.69 (0.68,0.71)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.75 (0.73,0.78)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAbbreviations: Q1-Q4: Q1 to Q4 represent the first to fourth quartiles of the TyG-ABSI index in ascending order. TDI: Townsend Deprivation Index; SBP: Systolic Blood Pressure; HDL-C: High-Density Lipoprotein Cholesterol; CRP: C-Reactive Protein; TyG: Triglyceride glucose; ABSI: A body shape index; TyG-WC: Triglyceride-glucose index-Waist Circumference; TyG-BMI: Triglyceride-glucose index-Body Mass Index; TyG-WHtR: Triglyceride-glucose index-Waist-to-Height Ratio; TyG-ABSI: Triglyceride Glucose-A Body Shape Index.\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv class=\"colspec\" align=\"left\"\u003e\u0026nbsp;\u003c/div\u003e\n\u003ctable id=\"Tab4\" border=\"1\" class=\"fr-table-selection-hover\"\u003e\n \u003ccaption\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCox model results for TyG, ABSI and TyG-ABSI with ACD and its subtypes.\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth rowspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eClassify\u003c/div\u003e\n \u003c/th\u003e\n \u003cth colspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel1\u003c/div\u003e\n \u003c/th\u003e\n \u003cth colspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel2\u003c/div\u003e\n \u003c/th\u003e\n \u003cth colspan=\"2\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel3\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eHR (95%CI)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Italic\"\u003eP\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eHR (95%CI)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Italic\"\u003eP\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eHR (95%CI)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Italic\"\u003eP\u003c/span\u003e\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth colspan=\"7\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTyG\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eACD\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.18 (1.01\u0026thinsp;~\u0026thinsp;1.39)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.039\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.98 (0.84\u0026thinsp;~\u0026thinsp;1.15)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.829\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.95 (0.81\u0026thinsp;~\u0026thinsp;1.12)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.572\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.43 (1.23\u0026thinsp;~\u0026thinsp;1.67)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.10 (0.95\u0026thinsp;~\u0026thinsp;1.29)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.207\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.05 (0.89\u0026thinsp;~\u0026thinsp;1.23)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.557\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.00 (1.73\u0026thinsp;~\u0026thinsp;2.30)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.50 (1.30\u0026thinsp;~\u0026thinsp;1.74)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.33 (1.13\u0026thinsp;~\u0026thinsp;1.57)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eAD\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.24 (1.12\u0026thinsp;~\u0026thinsp;1.38)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.06 (0.95\u0026thinsp;~\u0026thinsp;1.18)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.301\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.07 (0.97\u0026thinsp;~\u0026thinsp;1.20)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.191\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.35 (1.22\u0026thinsp;~\u0026thinsp;1.50)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.10 (0.99\u0026thinsp;~\u0026thinsp;1.22)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.072\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.13 (1.01\u0026thinsp;~\u0026thinsp;1.26)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.027\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.35(1.22\u0026thinsp;~\u0026thinsp;1.50)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.11 (1.00\u0026thinsp;~\u0026thinsp;1.24)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.045\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.14 (1.02\u0026thinsp;~\u0026thinsp;1.29)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.023\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eVD\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.24 (1.15\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.06 (0.98\u0026thinsp;~\u0026thinsp;1.13)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.124\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.06 (0.99\u0026thinsp;~\u0026thinsp;1.14)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.095\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.33 (1.24\u0026thinsp;~\u0026thinsp;1.43)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.07 (1.00\u0026thinsp;~\u0026thinsp;1.15)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.046\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.09 (1.01\u0026thinsp;~\u0026thinsp;1.17)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.029\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.48 (1.38\u0026thinsp;~\u0026thinsp;1.59)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.19 (1.11\u0026thinsp;~\u0026thinsp;1.27)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.18 (1.09\u0026thinsp;~\u0026thinsp;1.27)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eABSI\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eACD\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.31 (1.21\u0026thinsp;~\u0026thinsp;1.41)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.22 (1.13\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.21 (1.12\u0026thinsp;~\u0026thinsp;1.31)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.68 (1.56\u0026thinsp;~\u0026thinsp;1.81)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.48 (1.36\u0026thinsp;~\u0026thinsp;1.60)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.42 (1.31\u0026thinsp;~\u0026thinsp;1.54)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.50 (2.33\u0026thinsp;~\u0026thinsp;2.69)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.95 (1.80\u0026thinsp;~\u0026thinsp;2.12)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.79 (1.65\u0026thinsp;~\u0026thinsp;1.94)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eAD\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.24 (1.11\u0026thinsp;~\u0026thinsp;1.38)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.18 (1.06\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.003\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.19 (1.06\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.003\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.43 (1.28\u0026thinsp;~\u0026thinsp;1.60)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.32 (1.18\u0026thinsp;~\u0026thinsp;1.49)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.31 (1.17\u0026thinsp;~\u0026thinsp;1.48)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.97 (1.78\u0026thinsp;~\u0026thinsp;2.18)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.63 (1.45\u0026thinsp;~\u0026thinsp;1.84)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.58 (1.39\u0026thinsp;~\u0026thinsp;1.78)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eVD\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.60 (1.33\u0026thinsp;~\u0026thinsp;1.92)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.41 (1.17\u0026thinsp;~\u0026thinsp;1.70)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.33 (1.10\u0026thinsp;~\u0026thinsp;1.60)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.003\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.13 (1.79\u0026thinsp;~\u0026thinsp;2.54)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.66 (1.38\u0026thinsp;~\u0026thinsp;2.00)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.45 (1.20\u0026thinsp;~\u0026thinsp;1.76)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3.77 (3.21\u0026thinsp;~\u0026thinsp;4.44)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.47 (2.05\u0026thinsp;~\u0026thinsp;2.97)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.98 (1.64\u0026thinsp;~\u0026thinsp;2.40)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eTyG-ABSI\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eACD\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.44 (1.34\u0026thinsp;~\u0026thinsp;1.56)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.23 (1.14\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.23 (1.13\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.80 (1.67\u0026thinsp;~\u0026thinsp;1.94)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.40 (1.29\u0026thinsp;~\u0026thinsp;1.51)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.40 (1.29\u0026thinsp;~\u0026thinsp;1.52)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.34 (2.18\u0026thinsp;~\u0026thinsp;2.51)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.70 (1.57\u0026thinsp;~\u0026thinsp;1.84)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.67 (1.54\u0026thinsp;~\u0026thinsp;1.82)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eAD\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.42 (1.27\u0026thinsp;~\u0026thinsp;1.59)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.24 (1.10\u0026thinsp;~\u0026thinsp;1.38)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.26 (1.12\u0026thinsp;~\u0026thinsp;1.41)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.68 (1.50\u0026thinsp;~\u0026thinsp;1.87)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.36 (1.22\u0026thinsp;~\u0026thinsp;1.53)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.41 (1.25\u0026thinsp;~\u0026thinsp;1.59)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.91 (1.72\u0026thinsp;~\u0026thinsp;2.13)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.49 (1.33\u0026thinsp;~\u0026thinsp;1.68)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.54 (1.36\u0026thinsp;~\u0026thinsp;1.75)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u003cspan class=\"Bold\"\u003eVD\u003c/span\u003e\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eRef.\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ2\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.44 (1.34\u0026thinsp;~\u0026thinsp;1.56)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.23 (1.14\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.23 (1.13\u0026thinsp;~\u0026thinsp;1.33)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ3\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.80 (1.67\u0026thinsp;~\u0026thinsp;1.94)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.40 (1.29\u0026thinsp;~\u0026thinsp;1.51)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.40 (1.29\u0026thinsp;~\u0026thinsp;1.52)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eQ4\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.34 (2.18\u0026thinsp;~\u0026thinsp;2.51)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.70 (1.57\u0026thinsp;~\u0026thinsp;1.84)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.67 (1.54\u0026thinsp;~\u0026thinsp;1.82)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\" align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAbbreviations: TyG: Triglyceride glucose; ABSI: A body shape index; TyG-ABSI: Triglyceride Glucose-A Body Shape Index; HR (95% CI): Hazard Ratio (95% Confidence Interval); TDI: Townsend Deprivation Index; CRP: C-Reactive Protein; SBP: Systolic Blood Pressure; HDL-C: High-Density Lipoprotein Cholesterol.\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel1: Crude.\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel2: Adjusted for age, sex, ethnicity, and region.\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eModel3: Age, sex, ethnicity, region, education level, smoking and alcohol status, TDI, anxiety, stroke history, diabetes family history, CRP, SBP, and HDL-C were adjusted for.\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"triglyceride-glucose index, a body shape index, Insulin resistance, cognitive decline, Dementia","lastPublishedDoi":"10.21203/rs.3.rs-7414213/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7414213/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e: The triglyceride-glucose (TyG) index, used to assess insulin resistance (IR), and a body shape index (ABSI), a measure of visceral obesity, are both established risk factors for cognitive decline and dementia. However, longitudinal evidence for a causal link between ABSI and cognitive decline or dementia remains scarce, and the two indices have rarely been combined for predictive diseases. The study aimed to explore the associations between the TyG index, ABSI and the combined TyG-ABSI index with cognitive decline and the risk of dementia.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e: This study included 370,744 participants from the UK Biobank who were free of dementia and had complete data at baseline. The TyG, ABSI and TyG-ABSI indices were categorized into quartiles. Logistic regressions were employed to assess the associations of TyG, ABSI and TyG-ABSI indices with cognitive decline; cox regressions were used to analyze the associations of these indices with the risk of all-cause dementia (ACD) and its subtypes. Restricted cubic splines (RCS) were used to explore the dose-response relationships of TyG, ABSI and TyG-ABSI indices with cognitive decline and the risk of dementia. Receiver operating characteristic curves (ROC) were used to evaluate their diagnostic value.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResult: \u003c/strong\u003eAfter adjusting for confounders, TyG, ABSI and TyG-ABSI indices were all significantly associated with cognitive decline. Additionally, compared with the lowest quartiles, the highest quartiles of TyG, ABSI and TyG-ABSI indices were associated with a significantly increased risk of ACD by 33% (HR=1.33, 95% CI: 1.13-1.57), 79% (HR=1.79, 95% CI: 1.65-1.94) and 67% (HR=1.67, 95% CI: 1.54-1.82), respectively. These indices were also significantly associated with the risk of Alzheimer's disease (AD) and vascular dementia (VD) (all \u003cem\u003eP\u003c/em\u003e\u0026lt; 0.05). Finally, ABSI and TyG-ABSI demonstrated good ROC curve performance in predicting cognitive decline and dementia.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion: \u003c/strong\u003eThere were significant associations among the TyG, ABSI and TyG-ABSI indices with the risk of cognitive decline and dementia incidence, respectively. Moreover, ABSI and TyG-ABSI index exhibited superior predictive performance compared with TyG alone and other TyG-derived indices (TyG-WC, TyG-BMI, TyG-WHtR).\u003c/p\u003e","manuscriptTitle":"Association of triglyceride-glucose index (TyG) and a body shape index (ABSI) with cognitive decline and dementia risk","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-02 02:12:24","doi":"10.21203/rs.3.rs-7414213/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"5d1719ea-200d-4f8c-ae92-a34fc690d68c","owner":[],"postedDate":"September 2nd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-09-11T19:08:30+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-02 02:12:24","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7414213","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7414213","identity":"rs-7414213","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}