The triglyceride-glucose index (TyG) and Nonalcoholic fatty liver in the Japanese population: a retrospective cross-sectional study

The triglyceride-glucose index (TyG) and Nonalcoholic fatty liver in the Japanese population: a retrospective cross-sectional study | 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 The triglyceride-glucose index (TyG) and Nonalcoholic fatty liver in the Japanese population: a retrospective cross-sectional study Enqian Liu, Yaping Weng, Aiming Zhou, Chunlai Zeng This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-21504/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: Evidences regarding the association between triglyceride-glucose index (TyG) and Nonalcoholic fatty liver (NAFLD) are controversial. Therefore, the goals of this research are to evaluate whether TyG is independently associated with NAFLD and the ability of TyG index to detect NAFLD in the Japanese population. Methods: The present study was a cross-sectional study. The data was downloaded from the DATADRYAD website. A total of 13178 participants was involved in a hospital in Japan from 2004 to 2015. The correlation between TyG and NAFLD was detected by using binary logistic regression and Generalized additive models. The likelihood ration test was used to examine the modification and interaction of subgroups. Furthermore, the ability of TyG to predict NAFLD was evaluated by using receiver operating characteristic (ROC) curves. The formula for the TyG index was ln [fasting triglyceride level (mg / dl) × fasting blood glucose level (mg / dl) / 2] Results: The average age of the selected participants was 43.36±8.89 years old, and about 51.02% of them were male. In fully-adjusted binary logistic regression model, TyG was positively related with the risk of NAFLD (Odds ratio (OR)=2.45, 95%CI 2.12-2.82). The relationship between TyG and NAFLD was a non-linear relationship, and its inflection point was 8.22. The effect sizes and the confidence intervals of the left and right sides of inflection point were 3.26(2.44 - 4.35) and 2.09 (1.72 - 2.54), respectively. By subgroup analysis, the stronger association was found in females, low GGT, non-obesity, non-visceral fat obesity (P for interaction <0.05). Among the total population, the AUC for TyG [0.810 (0.804 - 0.817)] was worse than ALT [ 0.829 (0.822 - 0.835)] but better than TG [ 0.799 (0.792 - 0.805)] and FPG [ 0.715 (0.707 - 0.722)]. A similar result was found for men. In the women, the AUC for the TyG was superior to ALT, FPG, and TG. Conclusion: The association between TyG and NAFLD is non-linear. TyG is stronger positively correlated to the risk of NAFLD when TyG is less than 8.22. TyG is helpful to identify individuals with NAFLD. Endocrinology & Metabolism Glucose Triglycerides Triglyceride-glucose index Nonalcoholic fatty liver Association Figures Figure 1 Figure 2 Introduction Non-alcoholic fatty liver disease (NAFLD) is characterized by ectopic triglycerides deposition in liver cells that includes steatosis, nonalcoholic steatohepatitis (NASH), fibrosis, and cirrhosis 1 . NAFLD is increasingly considered as a clinical syndrome, which is associated with type 2 diabetes mellitus (T2DM), cardiovascular diseases (CVD), and chronic kidney disease (CKD) 2 . The global prevalence of NAFLD is 25.24%, and it is rising rapidly 3 . It will cause huge health and economic burden for individuals, society, and nation. The gold standard of NAFLD is liver biopsy, which can accurately evaluate the important pathological manifestation of NAFLD, such as hepatic steatosis, inflammation, and fibrosis. Taking the test with high-risk and invasive into account, a non-invasive and convenient screening method is needed to identify patients with NAFLD in the large - scale epidemiological investigations. The pathogenesis of NAFLD is considered to be insulin resistance(IR) and oxidative stress 4 . The product of fasting triglycerides and glucose levels (TyG), suggested by Simental-Mendía e t al. 5 , is highly associated with IR 6 – 8 . Thus, TyG is a cheap and convenient clinical alternative indicator of IR. In recent years, TyG has related to the risks of T2DM 9 – 12 , hypertension 13 , 14 , metabolic syndrome 15 , 16 , and cardiovascular disease 17 , 18 . Furthermore, several studies showed that TyG is associated with NAFLD in China 19 , 20 , Korea 21 , Japan 22 , France 23 . However, Everton Cazzo et al. 24 and Silan Zheng et al. 25 suggested that there was no association between TyG and NAFLD in Brazil and China, respectively. The findings from previous studies regarding the relationship between TyG and NAFLD are controversial. In view of the differences in research design, target population, and data analysis of these studies, more research and exploration is needed to draw reliable conclusions. Therefore, the purpose of our research was to detect the relationship between TyG and the risk of NAFLD and to assess the predictor power of TyG for NAFLD in the Japanese population. Methods Data source and study population Researchers can use the "DATADRYAD" database (www.Datadryad.org) to download raw data freely. Data was referenced from the Dryad packet (Okamura, Takuro et al. (2019), Data from: Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study, Dataset, https://doi.org/10.5061/dryad.8q0p192). The database included variables as follows: (age, gender, waist circumference(WC), weight, body mass index (BMI), alanine aminotransferase (ALT), fasting plasma glucose (FPG), aspartate transaminase (AST), γ-glutamyltranspeptidase (GGT), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), smoking status, exercise, fatty liver, ethanol consumption, and triglyceride (TG), hemoglobin A1c (HbA1c), Obesity phenotype, obesity, visceral fat obesity, systolic blood pressure (SBP), diastolic blood pressure (DBP), diabetes mellitus (DM), and follow up duration). To promote public health, Murakami Memorial Hospital (Gifu City, Japan) performed a population-based cohort research. Okamura et al. 26 analyzed the population who entered the study cohort from 2004 to 2015 and researched the effect of the obese phenotype on the risk of type 2 diabetes. On this basis, we further set the following exclusion criteria to select 13,178 participants (6,723 men and 6,455 women): (1) Participants lacked relevant covariate data such as alcohol, exercise, abdominal ultrasound or height; (2) Participants had hepatitis B or C virus; (3) Participants had alcoholic fatty liver (ethanol consumption > 140g per week for men, > 70g per week for women); (4) Participants had taken medication during baseline examinations; (5) The fasting plasma glucose of the participants was greater than 6.1 mmol/L or had type 2 diabetes at baseline. Murakami Memorial Hospital's Ethics Committee approved Okamura et al. and every subject signed an informed consent form. Data collection and measurements Baseline information on all participants was obtained through questionnaires. Okamura et al. estimated the average weekly ethanol intake by investigating participants the type and amount of elcohol consumed each week in the previous month. They categorized participants into four categories: non-alcoholic or minimal drinking, 280 g per week. Participants were grouped into three categories based on smoking status: non-smokers were participants who had never smoked before, ex-smokers were defined as participants who had previously smoked but had quit smoking before the baseline survey, but current smokers were participants who continued to smoke during the baseline survey. For sports activities, they defined regular athletes as regularly participating in an activity every week. Those who met the following conditions are type 2 diabetes: HbA1c ≥ 6.5%, fasting plasma glucose ≥ 7 mmol / L or self-reported. BMI ≥ 25 kg / m2 was defined as obesity. Waist circumference (WC) ≥90 cm for men and waist circumference ≥80 cm for women were defined as visceral fat obesity. Hypertension was defined as systolic blood pressure (SBP) ≥140mmHg or diastolic blood pressure (DBP) ≥90mmHg. The triglyceride-glucose index (TyG) was calculated as Ln (TAG (mg/dL) × glucose (mg/dL))/2. Definition of fatty liver According to Asia-Pacific Working Party guidelines 27 , people with excessive drinking (> 140 g / week for men, > 70 g / week for women) or liver virus were excluded. The experienced operator performed abdominal ultrasound tests, and then, without knowing other data from the participants, the gastroenterologists diagnosed fatty liver which was based on liver contrast and liver brightness 28 . Statistical analysis The presentation of continuous variables was divided according to their distribution status:(1) normal distribution (mean ± standard deviation) and skewed distribution (median (quartile)). Categorical variables were presented as frequency or as percentage. Whether the differences between groups were statistically different was tested by One-way analysis of variance (normal distribution), Kruskal Wallis H test (skewed distribution), and Chi-square test (categorical variable). We used univariate and multivariate binary logistic regression to assess the correlation between TyG and NAFLD. According to the STROBE statement, three models were used to evaluate the relationship: unadjusted, minimally adjusted, and fully adjusted models. We selected potential covariates if they changed the estimates of TyG on NAFLD by at least 10% or were significantly correlated with NAFLD. Thus, potential covariates involved in this study included age, BMI, WC, ALT, AST, GGT, HDL-C, TC, TG, HbA1C, FPG, SBP, DBP, and ethanol consumption, gender, regular exercise, Smoking status. For sensitivity analysis, we treated TyG as a continuous and categorical variable to evaluate its relationship to NAFLD. Besides, the nonlinear relationship between TyG and NAFLD was estimated using the Generalized Additive Model (GAM). If there was a non-linear relationship, we used the recursive method to calculate the inflection point, performed a two-piecewise linear regression, and used the maximum model likelihood test. To find modifications and interactions, we used a stratified linear regression model and a likelihood ratio test in the different subgroups. For the evaluation of diagnostic ability, we performed the receiver operating characteristic (ROC) curve analysis and compared the areas under the ROC curve (AUC) to find the strongest predictor of NAFLD. We performed statistical analyses with the statistical software packages R (http://www.R-project.org, The R Foundation), MedCalc software programs (Version 19.0.7), and Empower-Stats (http://www.empowerstats.com, X&Y Solutions,Inc., Boston, MA). Statistically different was defined as P values less than 0.05. Results Baseline characteristics of selected participants 13,178 participants in total were selected for the present research through strict selection criteria. Table 1, grouped by TyG quartiles, shows the baseline characteristics of these selected participants. In general, the average age of those selected was 43.36 ± 8.89 years old, and 51.02% of those were male. A total of 2361 had NAFLD and the prevalence was 17.92%. No statistically significant differences were detected among different TyG groups (all p values < 0.05). Compared to that of other three groups (Q 1-3), Participants in the highest group of TyG (Q 4) had the higher values in age, BMI, WC, ALT, AST, GGT, TC, TG, HbA1C, FPG, SBP, DBP and consisted of more male, past and current smoker, NAFLD than those of the other groups. The contrary results were detectd in HDL-C, female, regular exercise, non -smoker, non-NAFLD. Univariate analysis The results of the univariate analysis were showed in Table 2. We performed univariate binary logistic regression and found that HDL-C and regular exercise were negatively correlated with NAFLD. To the contrary, the univariate analysis displayed that age, BMI, WC, ALT, AST, GGT, TC, TG, HbA1C, FPG, SBP, DBP, TyG, ethanol consumption, male, smoking status (past and current) were positively correlated with Nonalcoholic fatty liver. Results of unadjusted and adjusted binary logistic regression In this study, we used univariate and multivariate binary logistic regression to construct three models through to analyze to assess the independent effect of TyG on NAFLD. Table 3 shows the effect sizes (Odds ratio (OR)) and 95% confidence intervals. In the unadjusted model, TyG showed positive correlation with NAFLD (OR=7.79, 95% confidence interval (CI): 7.08 - 8.56, P <0.0001). In the minimum-adjusted model, the result did not change significantly after adjusting for age and gender (OR=6.18, 95% CI 5.59 - 6.83, P <0.0001). In fully adjusted model (adjusted age, gender, ALT, AST, GGT, SP, BMI, WC, regular exercise, HDL-C, TC, HbA1C, Ethanol consumption, Smoking status), the association between TyG and NAFLD could also be detected (OR=2.45, 95% CI 2.12-2.82, P <0.0001). For the stability of our results, TyG was treated as categorical variable (Quartile of TyG) and the P for trend in the fully adjusted model was agreed with the result when TyG was a continuous variable. The results of the nonlinearity of TyG and NAFLD In the present study, the non-linear correlation between TyG and NAFLD was analyzed by the Smooth curve and the Generalized additive model (Figure 1 and Table 4). After adjusting for age, gender, BMI, WC, ALT, AST, GGT, HDL-C, TC, TG, HbA1C, FPG, SBP, DBP, ethanol consumption, regular exercise, and smoking status, we detected that the correlation between TyG and NAFLD was non-linear. Using two-piecewise binary logistic regression and recursive algorithm, the inflection point of curve was calculated to be 8.22 (log-likelihood ratio test P 0.023). When TyG was less than 8.22, the effect size and 95% CI were 3.26, 2.44 - 4.35, respectively. When TyG was greater than or equal to 8.22, the effect size and 95% CI were 2.09, 1.72 - 2.54, respectively. The results of subgroup analyses The stratification variables (age, gender, ALT, AST, GGT, HDL-C, TC, HbA1c, obesity, visceral fat obesity, hypertension, smoking status, ethanol consumption, regular exercise) were used to assess the trend of effect sizes (Table 5). The tests of interaction were statistically significant for these variables including gender, GGT, Obesity, visceral fat obesity. For men, one unit increase of TyG was correlated with 3.20 times higher risk of NAFLD. For women, an increase of the TyG by one unit was associated with 2.24 times higher risk of NAFLD. The change in gender is significant (P for interaction = 0,0076). The stronger association was also detected in low GGT (3.73 with low GGT vs 2.25 with middle GGT, and vs 2.12 with high GGT ), non-obesity (2.72 with non-obesity vs 1.99 with obesity), non-visceral fat obesity (2.65 with non-visceral fat obesity vs 1.88 with visceral fat obesity). ROC analyses for TyG, ALT, FPG, and TG to predict the risk of NAFLD For predicting the risk of NAFLD, we performed ROC analyses by using TyG, ALT, FPG, and TG in Figure 2 and Table 6. Among the total population, the areas under the ROC curve (AUC) of TyG was 0.810（95 % CI 0.804 - 0.817）, which was worse than ALT [ 0.829 (95 % CI 0.822 - 0.835), P < 0.0001] but better than TG [ 0.799 (95 % CI 0.792 - 0.805), P < 0.0001] and FPG [ 0.715 (95 % CI 0.707 - 0.722), P < 0.0001]. Among the men, the ROC AUCs (95% CI) were 0.748 (0.737 - 0.758), 0.797 (0.788 - 0.807), 0.635 (0.624 - 0.647) and 0.739 (0.728 - 0.749) for TyG, ALT, FPG, and TG, respectively. Among the women, AUCs of ROC (95% CI) for TyG, ALT, FPG, and TG were 0.818 (0.809 - 0.828), 0.765 (0.755 - 0.776), 0.719 (0.708 - 0.730), and 0.804 (0.794 - 0.814), respectively. For men, the AUC was worse for TyG than ALT but better than TG and FPG (P <0.0001). For women, the AUC for the TyG was superior to ALT, FPG, and TG (P<0.0001). Discussion The present study indicated TyG, both as continuous and categorical variables, was positively correlated with NAFLD after adjusting relative covariates. We firstly detected that the non-linear relation between TyG and NAFLD showed a threshold effect. When the inflection point is 8.22, the relationships between TyG and NAFLD showed significant differences [left (OR 3.26, 95% CI 2.44–4.35) VS right (OR 2.09, 95% CI 1.72–2.54), P < 0.05]. Besides, the results of this research found the stronger relationships were observed in male, low GGT, non-obesity, non-visceral fat obesity by conducted subgroup analysis. Furthermore, comparing the AUC, the predictive value of ALT was superior to TG, FPG, and TyG in the males and the total population, however, TyG had the strongest predictive power on NAFLD in the females. IR is characterized by decreasing sensitivity of tissues to insulin which can inhibit lipolysis of adipose tissue. Excessed free fatty acids, caused by IR, are deposed in the liver and results in the formation of hepatic steatosis 4 , 29 . Lipotoxicity of FFAs presents as increasing oxidative stress and mitochondrial dysfunction in hepatocytes 4 . For reducing lipotoxicity, the FFAs are resynthesized into triglycerides which can be stored in hepatocytes or transported as very low density lipoprotein (VLDL) into blood 4 . IR most often presents with hyperglycemia and hypertriglyceridemia. Simental-Mendia et al. 5 proposed that TyG expressed as Ln (fasting triglycerides (mg/d l) × fasting blood glucose (mg/dl)/2), was highly correlated with euglycemic-hyperinsulinemic clamp test and HOMA-IR 6 – 8 . Thus, many studies have explored the association between TyG and NAFLD. In a retrospective cohort study that selected 16,093 apparently healthy Japanese participants, Kitae, A et al. 22 demonstrated that the higher TyG at baseline indicated a higher probability of NAFLD both in men and women. Similar findings were also reported in the researches of Zhang, S et al. 19 , Zheng, R et al. 20 , Petta, S et al. 30 , Lee, S.B et al. 21 , Fedchuk, L et al. 23 , and Luis E. Simental-Mendía et al. 31 . Their conclusions were agreed with our findings. However, some other studies were not consistent with our findings. Selecting 89 patients with morbid obesity, Cazzo, E et al. 24 did not detect a significant correlation between TyG and NAFLD in a cross-sectional study. The cross-sectional study found that LAP, rather than TyG, was independently associated with hepatic steatosis which was assessed by controlled attenuation parameter (CAP) among 101 women with polycystic ovary syndrome 25 . Previous studies are controversial due to different study designs, population ethnicity, sample size, and statistical method. In the subgroup analysis, we found that BMI, WC, GGT, and gender affect the association between TyG and NAFLD after adjusting other covariates. Zhang, S et al. 19 also detected that the stronger association between TyG and NAFLD were detected in BMI < 25 kg/m 2 (OR 4.1 with BMI = 25 kg/m 2 ) after adjusting related covariates, however, the association was not found in different gender. A meta-analysis showed that the prevalence of NAFLD was different in gender and men were more likely than women to suffer from NAFLD 32 . The potential mechanism is the sex hormone difference between men and women. Similar results have not been reported before, we are unable to explain why the associations between TyG and NAFLD are stronger in low GGT, non-visceral fat obesity. To the best of our knowledge, Petta, S et al. 30 first showed that TyG index, whose AUC is 0.682, predicted the severity of liver steatosis in 340 Italian patients with Genotype 1 Chronic Hepatitis C. Then, TyG, which was correlated with IR, could be used to diagnose liver steatosis but had deficiency quantitative evaluation for the severity of fatty liver, which was proposed by Fedchuk, L et al. 23 . In addition, Simental-Mendia et al. 31 observed that TyG is better than SteatoTest, NashTest, and Fatty liver index for detecting hepatic steatosis in 50 asymptomatic women. Among 10,761 healthy Chinese subjects, Zhang, S et al. 19 reported that TyG is a potential diagnostic indicator of NAFLD by a cross-sectional study. When the cut-off value of TyG is 8.5, the sensitivity and specificity is 72.2% and 70.5%, respectively. The population-based cohort study performed by Zheng R et al. showed that TyG independently correlates with NAFLD and is a reliable indicator for predicting NAFLD which comparing with ALT, TG, and FPG. Compared with HOMA-IR, TyG has a stronger ability to predict the risk of NAFLD in 4,986 Korean population, which conducted by Lee, S.B et al. 21 . However, our study displayed that TyG was better than ALT, TG, and FPG in diagnosing NAFLD only in women and ALT, rather than TyG, is the strongest indicator in men and total population. The previous studies have not compared TyG to ALT in different gender, thus, more research is needed to find the stronger predictors for identifying NAFLD. Our study offers several advantages. (1) the sample size of our study is relatively large; (2) In the observational study, we fully adjust potentially confounding factors such as ethanol consumption, regular exercise, and smoking status. (3) For sensitivity analysis, we explore the relationship between TyG and NAFLD by treating TyG as continuous and categorical variables; (4) In contrast to previous studies, GAM is used to explore the nonlinear relationship between TyG and NAFLD; (5) In the subgroup analysis, we use stratified linear regression models and likelihood ration tests to find the modifications and interactions and to get a stable result in different subgroups. Some limitations in the present study should be listed. (1) Our study is a retrospective study that cannot draw a conclusion on the direction of causality. However, it can provide direction for future research; (2) Our study has strict criteria for inclusion and exclusion, the extrapolation of our results may exist limitations. However, this can enhance the accuracy of the result; (3) The gold standard of NAFLD is liver biopsy, however, cheap and convenient ultrasonography is frequently used in large epidemiological studies; (4) Raw data does not offer other laboratory results, such as insulin concentration, inflammatory factors, which may correlations with TyG and NAFLD. Conclusion The association between TyG and NAFLD is non-linear. TyG is stronger positively correlated to the risk of NAFLD when TyG is less than 8.22. TyG is helpful to identify individuals with NAFLD. Abbreviations BMI, body mass index; WC, Waist circumference; HDL-C, high-density lipoprotein cholesterol; TC, Total cholesterol; TG, Triglycerides; HbA1c, hemoglobin A1c; FPG, Fasting plasma glucose; SBP, systolic blood pressure; DBP, diastolic blood pressure; GAM, Generalized additive models; TyG, Triglyceride-glucose index; NAFLD, Nonalcoholic fatty liver. Declarations Acknowledgements The authors are thankful to Okamura et al. 26 who provides datas. Authors’ contributions En-qian Liu performed the analysis and interpretation of the data and drafted the manuscript. Ya-ping Weng and Ai-ming Zhou contributed to the discussion and reviewed the manuscript. Chun-lai Zeng helped to supervise the study. Finally, the final manuscript was read and approved by all authors. Funding This research did not receive any grant. Availability of data and materials Data can be downloaded from ‘DATADRYAD’ database (www.Datadryad.org). Ethics approval and consent to participate Murakami Memorial Hospital's Ethics Committee approved Okamura et al. 26 and every subject signed an informed consent form. Consent for publication Not applicable. Competing interests All the authors reported that they have no conflicts of interest. Author details 1 Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, Zhejiang, China. 2 Department of Gastroenterology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, Zhejiang, China. 3 Department of Critical Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China. 4 Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, Zhejiang, China References Andronescu CI, Purcarea MR, Babes PA. Nonalcoholic fatty liver disease: epidemiology, pathogenesis and therapeutic implications. J Med Life. 2018;11(1):20-23. Byrne CD, Targher G. NAFLD: A multisystem disease. J Hepatol. 2014;62(1):S47-S64. doi:10.1016/j.jhep.2014.12.012 Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. 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The role of the triglyceride (triacylglycerol) glucose index in the development of cardiovascular events: a retrospective cohort analysis. Sci Rep-Uk. 2019;9(1). doi:10.1038/s41598-019-43776-5 Sánchez-Íñigo L, Navarro-González D, Fernández-Montero A, Pastrana-Delgado J, Martínez JA. The TyG index may predict the development of cardiovascular events. Eur J Clin Invest. 2016;46(2):189-197. doi:10.1111/eci.12583 Zhang S, Du T, Zhang J, Lu H, Lin X, Xie J, Yang Y, Yu X. The triglyceride and glucose index (TyG) is an effective biomarker to identify nonalcoholic fatty liver disease. Lipids Health Dis. 2017;16(1). doi:10.1186/s12944-017-0409-6 Zheng R, Du Z, Wang M, Mao Y, Mao W. A longitudinal epidemiological study on the triglyceride and glucose index and the incident nonalcoholic fatty liver disease. Lipids Health Dis. 2018;17(1):262. doi:10.1186/s12944-018-0913-3 Lee SB, Kim MK, Kang S, Park K, Kim JH, Baik SJ, Nam JS, Ahn CW, Park JS. 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Obes Surg. 2018;28(1):187-194. doi:10.1007/s11695-017-2829-9 Zheng S, Tong M, Dong L, Du C, Zheng X, Wang L, Huang P, Liu W, Lin M, Liu C. Lipid accumulation product independently correlate with hepatic steatosis quantified by controlled attenuation parameter in women with polycystic ovary syndrome. Endocr Connect. 2020;9(2):154-162. doi:10.1530/EC-19-0559 Okamura T, Hashimoto Y, Hamaguchi M, Obora A, Kojima T, Fukui M. Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study. Int J Obes (Lond). 2019;43(1):139-148. doi:10.1038/s41366-018-0076-3 Chitturi S, Farrell GC, Hashimoto E, Saibara T, Lau GK, Sollano JD, Asia-Pacific WPON, The APWP. Non‐alcoholic fatty liver disease in the Asia–Pacific region: Definitions and overview of proposed guidelines. J Gastroen Hepatol. 2007;22(6):778-787. doi:10.1111/j.1440-1746.2007.05001.x Hashimoto Y, Hamaguchi M, Kojima T, Ohshima Y, Ohbora A, Kato T, Nakamura N, Fukui M. The modest alcohol consumption reduces the incidence of fatty liver in men: a population-based large-scale cohort study. J Gastroen Hepatol. 2015;30(3):546-552. doi:10.1111/jgh.12786 VT S, ZX L, X Q, BD E, S B, D B, AJ R, GI S. Mechanism of hepatic insulin resistance in non-alcoholic fatty liver disease. The Journal of biological chemistry. 2004;279(31):32345-32353. doi:10.1074/jbc.M313478200 Petta S, Di Marco V, Di Stefano R, Cabibi D, Cammà C, Marchesini G, Craxì A. TyG index, HOMA score and viral load in patients with chronic hepatitis C due to genotype 1. J Viral Hepatitis. 2011;18(7):e372-e380. doi:10.1111/j.1365-2893.2011.01439.x Simental-Mendia LE, Simental-Mendia E, Rodriguez-Hernandez H, Rodriguez-Moran M, Guerrero-Romero F. The product of triglycerides and glucose as biomarker for screening simple steatosis and NASH in asymptomatic women. Ann Hepatol. 2016;15(5):715-720. doi:10.5604/16652681.1212431 Li Z, Xue J, Chen P, Chen L, Yan S, Liu L. Prevalence of nonalcoholic fatty liver disease in mainland of China: A meta-analysis of published studies. J Gastroen Hepatol. 2014;29(1):42-51. doi:10.1111/jgh.12428 Tables Table1 Baseline characteristics of study participants by quartiles of TyG TyG Q1 (≤7.59) Q2 (7.59 to ≤8.01) Q3 (8.01 to ≤ 8.46) Q4 ( 10.73＞) P-value P-value* Number 3493 3336 3269 3080 Age, years 40.28 ± 8.11 43.20 ± 8.85 44.69 ± 8.89 45.60 ± 8.76 <0.001 <0.001 BMI, kg/m2 20.34 ± 2.37 21.36 ± 2.68 22.56 ± 3.07 24.23 ± 3.14 <0.001 <0.001 WC, cm 70.62 ± 7.02 73.94 ± 7.95 77.73 ± 8.50 82.83 ± 8.31 <0.001 <0.001 ALT, IU/L 14.00 (11.00-17.00) 15.00 (12.00-19.00) 18.00 (13.00-23.00) 23.00 (17.00-32.00) <0.001 <0.001 AST, IU/L 16.00 (13.00-19.00) 16.00 (13.00-20.00) 17.00 (14.00-21.00) 19.00 (15.00-24.00) <0.001 <0.001 GGT, IU/L 12.00 (10.00-15.00) 13.00 (10.00-17.00) 15.00 (12.00-21.00) 21.00 (15.00-31.00) <0.001 <0.001 HDL-C, mg/dL 65.25 ± 14.52 60.02 ± 14.51 53.61 ± 13.09 44.62 ± 10.68 <0.001 <0.001 TC, mg/dL 181.74 ± 29.94 193.85 ± 30.58 203.30 ± 31.10 215.81 ± 33.57 <0.001 <0.001 TG, mg/dL 32.50 ± 8.42 54.32 ± 7.29 80.27 ± 11.37 154.71 ± 65.17 <0.001 <0.001 HbA1C, % 5.12 ± 0.30 5.16 ± 0.31 5.20 ± 0.33 5.26 ± 0.34 <0.001 <0.001 FPG, mg/dL 88.24 ± 6.71 91.67 ± 6.79 94.10 ± 6.63 96.99 ± 6.54 <0.001 <0.001 SBP, mmHg 107.33 ± 12.60 111.64 ± 13.88 115.86 ± 14.44 120.90 ± 14.69 <0.001 <0.001 DBP, mmHg 66.31 ± 8.89 69.35 ± 9.64 72.47 ± 9.97 76.24 ± 10.17 <0.001 <0.001 Ethanol consumption (g/week) 0.69 (0.00-2.31) 0.69 (0.00-2.94) 0.69 (0.00-3.58) 0.69 (0.00-3.81) <0.001 <0.001 TyG 7.22 ± 0.31 7.81 ± 0.12 8.22 ± 0.13 8.86 ± 0.34 <0.001 <0.001 Gender, % <0.001 - female 2689 (76.98%) 1866 (55.94%) 1276 (39.03%) 624 (20.26%) male 804 (23.02%) 1470 (44.06%) 1993 (60.97%) 2456 (79.74%) Regular exercise, % 0.009 - non 2877 (82.36%) 2707 (81.15%) 2736 (83.70%) 2586 (83.96%) yes 616 (17.64%) 629 (18.85%) 533 (16.30%) 494 (16.04%) Smoking status, % <0.001 - never 2804 (80.27%) 2262 (67.81%) 1864 (57.02%) 1375 (44.64%) past 377 (10.79%) 520 (15.59%) 635 (19.42%) 743 (24.12%) current 312 (8.93%) 554 (16.61%) 770 (23.55%) 962 (31.23%) Hypertension, % <0.001 - non 3440 (98.48%) 3222 (96.58%) 3057 (93.51%) 2741 (88.99%) yes 53 (1.52%) 114 (3.42%) 212 (6.49%) 339 (11.01%) NAFLD, % <0.001 - non 3407 (97.54%) 3079 (92.30%) 2633 (80.54%) 1698 (55.13%) yes 86 (2.46%) 257 (7.70%) 636 (19.46%) 1382 (44.87%) Values are means ±SDs, Median (Q1-Q3), or n (%). Differences in baseline characteristics were compared with the use of chi-square tests for categorical variables and ANOVA for continuous variables. BMI, body mass index; WC, Waist circumference ; HDL-C, high-density lipoprotein cholesterol ; TC, Total cholesterol ; TG, Triglycerides ; HbA1C, hemoglobin A1c ; FPG, Fasting plasma glucose; SBP, systolic blood pressure; DBP, diastolic blood pressure; TyG, Triglyceride-glucose index; NAFLD, Nonalcoholic fatty liver. Table 2 Univariate analysis for NAFLD Statistics OR(95% CI) P-value Age, years 43.36 ± 8.89 1.02 (1.01, 1.02) <0.0001 BMI, kg/m2 22.06 ± 3.16 1.65 (1.61, 1.68) <0.0001 WC, cm 76.08 ± 9.14 1.21 (1.20, 1.22) <0.0001 ALT, IU/L 16.00 (12.00-23.00) 1.10 (1.10, 1.11) <0.0001 AST, IU/L 17.00 (14.00-21.00) 1.09 (1.08, 1.10) <0.0001 GGT, IU/L 14.00 (11.00-20.00) 1.05 (1.04, 1.05) <0.0001 HDL-C, mg/dL 56.22 ± 15.39 0.93 (0.92, 0.93) <0.0001 TC, mg/dL 198.12 ± 33.66 1.01 (1.01, 1.01) <0.0001 TG, mg/dL 78.43 ± 55.89 1.02 (1.02, 1.02) <0.0001 HbA1C, % 5.18 ± 0.32 4.40 (3.80, 5.08) <0.0001 FPG, mg/dL 92.60 ± 7.40 1.12 (1.11, 1.12) <0.0001 SBP, mmHg 113.71 ± 14.77 1.05 (1.05, 1.06) <0.0001 DBP, mmHg 70.93 ± 10.33 1.08 (1.08, 1.09) <0.0001 TyG 8.00 ± 0.64 7.79 (7.08, 8.56) <0.0001 Ethanol consumption (g/week) 1.00 (0.00-18.00) 1.00 (1.00, 1.00) 0.0039 Gender, % female 6455 (48.98%) Ref male 6723 (51.02%) 5.06 (4.54, 5.64) <0.0001 Visceral fat obesity, % non 11439 (86.80%) Ref yes 1739 (13.20%) 6.48 (5.81, 7.22) <0.0001 Obesity, % non 11061 (83.94%) Ref yes 2117 (16.06%) 11.76 (10.58, 13.07) <0.0001 Regular exercise, % non 10906 (82.76%) Ref yes 2272 (17.24%) 0.81 (0.72, 0.92) 0.0009 Smoking status, % never 8305 (63.02%) Ref past 2275 (17.26%) 2.17 (1.94, 2.43) <0.0001 current 2598 (19.71%) 2.05 (1.84, 2.29) <0.0001 Hypertension, % non 12460 (94.55%) Ref yes 718 (5.45%) 4.45 (3.81, 5.19) <0.0001 CI confidence interval, Ref reference Table 3 Relationship between TyG and NAFLD in different models Variable Crude model (OR, 95% CI, P) Minimally adjusted model (OR, 95% CI, P) Fully adjusted model (OR, 95% CI, P) TyG 7.79 (7.08, 8.56) <0.0001 6.18 (5.59, 6.83) <0.0001 2.45 (2.12, 2.82) <0.0001 TyG (quartile) Q1 Ref Ref Ref Q2 3.31 (2.58, 4.24) <0.0001 2.70 (2.10, 3.48) <0.0001 1.57 (1.19, 2.08) 0.0016 Q3 9.57 (7.60, 12.05) <0.0001 6.89 (5.44, 8.72) <0.0001 2.42 (1.84, 3.18) <0.0001 Q4 32.24 (25.73, 40.40) <0.0001 20.49 (16.21, 25.89) <0.0001 3.95 (2.97, 5.27) <0.0001 P for trend <0.0001 <0.0001 <0.0001 Crude model: we did not adjust other covariates Minimally adjusted model: we adjusted age and sex Fully adjusted model: we adjusted gender; age; ALT; AST; GGT; SP; BMI; WC; regular exercise; HDL-C; TC; HbA1C; Ethanol consumption; Smoking status. CI confidence interval, Ref reference Table 4 The result of two-piecewise linear regression model OR, 95%CI, P value Fatting model by standard linear regression 2.45 (2.12, 2.82) <0.0001 Fitting model by two-piecewise linear regression Inflection point 8.22 <8.22 3.26 (2.44, 4.35) 8.22 2.09 (1.72, 2.54) <0.0001 P for log likelihood ratio test 0.023 We adjusted gender; age; ALT; AST; GGT; SP; BMI; WC; regular exercise; HDL-C; TC; HbA1C; Ethanol consumption; Smoking status. CI confidence interval Table 5 Effect size of TyG on NAFLD in prespecified and exploratory subgroups Characteristic No. of participants OR (95%CI) P -value P for interaction Age (year) 0.2561 ≤60 429 1.81 (1.04, 3.13) 0.0348 ＞60 12742 2.50 (2.17, 2.89) <0.0001 Gender Male 6455 3.20 (2.50, 4.09) <0.0001 0.0076* Female 6716 2.24 (1.92, 2.62) <0.0001 ALT (tertile) Low 4210 3.49 (2.43, 5.01) <0.0001 0.0571 Middle 4352 2.43 (1.93, 3.07) <0.0001 High 4609 2.22 (1.89, 2.61) <0.0001 AST (tertile) 0.5125 Low 3895 2.79 (2.13, 3.67) <0.0001 Middle 5032 2.37 (1.93, 2.91) <0.0001 High 4244 2.37 (1.97, 2.85) <0.0001 GGT (tertile) 0.0317* Low 3793 3.73 (2.48, 5.61) <0.0001 Middle 5376 2.25 (1.83, 2.75) <0.0001 High 4002 2.12 (1.78, 2.53) <0.0001 HDL-C (tertile) 0.1836 Low 4474 2.46 (2.08, 2.90) <0.0001 Middle 4383 2.38 (1.88, 3.02) <0.0001 High 4314 3.46 (2.40, 4.99) <0.0001 TC (tertile) 0.1084 Low 4315 2.22 (1.76, 2.79) <0.0001 Middle 4365 2.89 (2.32, 3.59) <0.0001 High 4491 2.22 (1.82, 2.71) <0.0001 HbA1c (tertile) 0.6258 Low 3080 2.42 (1.84, 3.19) <0.0001 Middle 5209 2.61 (2.13, 3.20) <0.0001 High 4882 2.32 (1.92, 2.79) <0.0001 Obesity 0.0111* Non 11056 2.72 (2.32, 3.20) <0.0001 Yes 2115 1.99 (1.61, 2.47) <0.0001 Visceral fat obesity 0.0109 Non 11434 2.65 (2.28, 3.09) <0.0001 Yes 1737 1.88 (1.47, 2.41) <0.0001 Hypertension 0.8865 Non 12454 2.49 (2.15, 2.88) <0.0001 Yes 717 2.42 (1.64, 3.57) <0.0001 Smoking status 0.5128 Non 8302 2.60 (2.17, 3.12) <0.0001 Past 2272 2.22 (1.73, 2.84) <0.0001 Current 2597 2.37 (1.86, 3.02) <0.0001 Ethanol consumption 0.4843 <40 (g/week) 10779 2.49 (2.14, 2.91) <0.0001 40-140 2392 2.26 (1.76, 2.91) <0.0001 Regular exercise 0.9802 Non 10900 2.44 (2.10, 2.84) <0.0001 Yes 2271 2.45 (1.87, 3.22) <0.0001 Note 1: Above model adjusted for gender; age; ALT; AST; GGT; SP; BMI; WC; regular exercise; HDL-C; TC; HbA1C; Ethanol consumption; Smoking status. Note 2: In each case, the model is not adjusted for the stratification variable Table 6 Areas under the receiver operating characteristic curves (AUROC) of TyG for identifying nonalcoholic fatty in different gender. Variable AUC 95% CI P-Value Men TyG 0.748 0.737 to 0.758 -- ALT 0.797 0.788 to 0.807 < 0.0001 FPG 0.635 0.624 to 0.647 < 0.0001 TG 0.739 0.728 to 0.749 < 0.0001 Women TyG 0.818 0.809 to 0.828 -- ALT 0.765 0.755 to 0.776 < 0.0001 FPG 0.719 0.708 to 0.730 < 0.0001 TG 0.804 0.794 to 0.814 < 0.0001 Total TyG 0.810 0.804 to 0.817 -- ALT 0.829 0.822 to 0.835 0.0020 FPG 0.715 0.707 to 0.722 < 0.0001 TG 0.799 0.792 to 0.805 < 0.0001 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-21504","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":479271,"identity":"afbd06c2-2328-4744-af6b-149b5d01e888","order_by":1,"name":"Enqian Liu","email":"","orcid":"https://orcid.org/0000-0001-5674-1447","institution":"Zhejiang University School of Medicine","correspondingAuthor":false,"prefix":"","firstName":"Enqian","middleName":"","lastName":"Liu","suffix":""},{"id":479272,"identity":"6490dc2c-03c4-4f58-b1d9-725032ff1a48","order_by":2,"name":"Yaping Weng","email":"","orcid":"","institution":"Zhejiang University School of Medicine","correspondingAuthor":false,"prefix":"","firstName":"Yaping","middleName":"","lastName":"Weng","suffix":""},{"id":479273,"identity":"4f9684dc-8d69-4846-8c99-6fb74215bbad","order_by":3,"name":"Aiming Zhou","email":"","orcid":"","institution":"Wenzhou Medical University First Affiliated Hospital","correspondingAuthor":false,"prefix":"","firstName":"Aiming","middleName":"","lastName":"Zhou","suffix":""},{"id":479274,"identity":"1d6ab6e6-48a3-4227-b045-45899f3a49bc","order_by":4,"name":"Chunlai Zeng","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6ElEQVRIiWNgGAWjYLACxgYGBj4GxsYHDAUSJGhhY2BsNmAwIE0LA5sEgwERquXbew+/+LnjcB4b++G2ih8GFokbbjcwfviYg8eCnnNplr1nDhez8SS23ewxkEjccOcAs+TMbbi1MEvkmBkzth1ObGNIbLvBA9JyI4GNmRePFjb5N1At/A/bCv8Qo4VHgsf4MViLRGIbM1G2SPDkmDH2tqUDtTxslpYxkDCeeSOxGa9f5NvPGH/42Wad2M+f/vDjm4o62b4byQc/fMSjhQEcHUjAsQEcTfgB8wdknj0h5aNgFIyCUTDyAADvOFIjzfIpmQAAAABJRU5ErkJggg==","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Chunlai","middleName":"","lastName":"Zeng","suffix":""}],"badges":[],"createdAt":"2020-04-06 10:24:01","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-21504/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-21504/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":882386,"identity":"5626398f-27a6-4b81-bfd7-6084a7eaa63a","added_by":"auto","created_at":"2020-04-10 19:43:19","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":30596,"visible":true,"origin":"","legend":"The non-linear relationship between TyG and NAFLD. A non-linear relationship between them was detected after adjusting for gender; age; ALT; AST; GGT; SP; BMI; WC; regular exercise; HDL-C; TC; HbA1C; Ethanol consumption; Smoking status.","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-21504/v1/1.jpg"},{"id":882387,"identity":"10d4a2fa-4aae-47d6-b234-8ff5b7f493ce","added_by":"auto","created_at":"2020-04-10 19:43:19","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":60413,"visible":true,"origin":"","legend":"AUROCs for the prediction of NALFD in different gender.","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-21504/v1/2.jpg"},{"id":13498168,"identity":"1922e585-8dc9-45e8-8071-9af44247e739","added_by":"auto","created_at":"2021-09-16 22:56:48","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":414631,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-21504/v1/c5eebac2-248f-4c65-b876-3f26ac3660e6.pdf"}],"financialInterests":"","formattedTitle":"The triglyceride-glucose index (TyG) and Nonalcoholic fatty liver in the Japanese population: a retrospective cross-sectional study","fulltext":[{"header":"Introduction","content":" \u003cp\u003eNon-alcoholic fatty liver disease (NAFLD) is characterized by ectopic triglycerides deposition in liver cells that includes steatosis, nonalcoholic steatohepatitis (NASH), fibrosis, and cirrhosis\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e. NAFLD is increasingly considered as a clinical syndrome, which is associated with type 2 diabetes mellitus (T2DM), cardiovascular diseases (CVD), and chronic kidney disease (CKD) \u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e. The global prevalence of NAFLD is 25.24%, and it is rising rapidly \u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e. It will cause huge health and economic burden for individuals, society, and nation. The gold standard of NAFLD is liver biopsy, which can accurately evaluate the important pathological manifestation of NAFLD, such as hepatic steatosis, inflammation, and fibrosis. Taking the test with high-risk and invasive into account, a non-invasive and convenient screening method is needed to identify patients with NAFLD in the large\u003cem\u003e-\u003c/em\u003escale epidemiological investigations.\u003c/p\u003e \u003cp\u003eThe pathogenesis of NAFLD is considered to be insulin resistance(IR) and oxidative stress\u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e. The product of fasting triglycerides and glucose levels (TyG), suggested by Simental-Mend\u0026iacute;a \u003cem\u003ee\u003c/em\u003et al.\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e, is highly associated with IR\u003csup\u003e\u003cspan additionalcitationids=\"CR7\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. Thus, TyG is a cheap and convenient clinical alternative indicator of IR. In recent years, TyG has related to the risks of T2DM\u003csup\u003e\u003cspan additionalcitationids=\"CR10 CR11\" citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e\u003c/sup\u003e, hypertension\u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e, metabolic syndrome\u003csup\u003e\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e, and cardiovascular disease\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e. Furthermore, several studies showed that TyG is associated with NAFLD in China\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e, Korea\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e, Japan\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e, France\u003csup\u003e\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e. However, Everton Cazzo et al.\u003csup\u003e\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e\u003c/sup\u003e and Silan Zheng et al.\u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e suggested that there was no association between TyG and NAFLD in Brazil and China, respectively. The findings from previous studies regarding the relationship between TyG and NAFLD are controversial. In view of the differences in research design, target population, and data analysis of these studies, more research and exploration is needed to draw reliable conclusions.\u003c/p\u003e \u003cp\u003eTherefore, the purpose of our research was to detect the relationship between TyG and the risk of NAFLD and to assess the predictor power of TyG for NAFLD in the Japanese population.\u003c/p\u003e "},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eData source and \u003c/strong\u003e\u003cstrong\u003estudy population\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eResearchers can use the \"DATADRYAD\" database (www.Datadryad.org) to download raw data freely. Data was referenced from the Dryad packet (Okamura, Takuro et al. (2019), Data from: Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study, Dataset, https://doi.org/10.5061/dryad.8q0p192). The database included variables as follows: (age, gender, waist circumference(WC), weight, body mass index (BMI), alanine aminotransferase (ALT), fasting plasma glucose (FPG), aspartate transaminase (AST), \u0026gamma;-glutamyltranspeptidase (GGT), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), smoking status, exercise, fatty liver, ethanol consumption, and triglyceride (TG), hemoglobin A1c (HbA1c), Obesity phenotype, obesity, visceral fat obesity, systolic blood pressure (SBP), diastolic blood pressure (DBP), diabetes mellitus (DM), and follow up duration).\u003c/p\u003e\n\u003cp\u003eTo promote public health, Murakami Memorial Hospital (Gifu City, Japan) performed a population-based cohort research. Okamura et al.\u003csup\u003e26\u003c/sup\u003e analyzed the population who entered the study cohort from 2004 to 2015 and researched the effect of the obese phenotype on the risk of type 2 diabetes. On this basis, we further set the following exclusion criteria to select 13,178 participants (6,723 men and 6,455 women): (1) Participants lacked relevant covariate data such as alcohol, exercise, abdominal ultrasound or height; (2) Participants had hepatitis B or C virus; (3) Participants had alcoholic fatty liver (ethanol consumption \u0026gt; 140g per week for men, \u0026gt; 70g per week for women); (4) Participants had taken medication during baseline examinations; (5) The fasting plasma glucose of the participants was greater than 6.1 mmol/L or had type 2 diabetes at baseline. Murakami Memorial Hospital's Ethics Committee approved Okamura et al. and every subject signed an informed consent form.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData collection and measurements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBaseline information on all participants was obtained through questionnaires. Okamura et al. estimated the average weekly ethanol intake by investigating participants the type and amount of elcohol consumed each week in the previous month. They categorized participants into four categories: non-alcoholic or minimal drinking, \u0026lt;40 g per week; light drinking, 40-140 g per week; moderate drinking, 140-280 g per week; or heavy drinking, \u0026gt; 280 g per week. Participants were grouped into three categories based on smoking status: non-smokers were participants who had never smoked before, ex-smokers were defined as participants who had previously smoked but had quit smoking before the baseline survey, but current smokers were participants who continued to smoke during the baseline survey. For sports activities, they defined regular athletes as regularly participating in an activity every week. Those who met the following conditions are type 2 diabetes: HbA1c \u0026ge; 6.5%, fasting plasma glucose \u0026ge; 7 mmol / L or self-reported. BMI \u0026ge; 25 kg / m2 was defined as obesity. Waist circumference (WC) \u0026ge;90 cm for men and waist circumference \u0026ge;80 cm for women were defined as visceral fat obesity. Hypertension was defined as systolic blood pressure (SBP) \u0026ge;140mmHg or diastolic blood pressure (DBP) \u0026ge;90mmHg. The triglyceride-glucose index (TyG) was calculated as Ln (TAG (mg/dL) \u0026times; glucose (mg/dL))/2. \u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDefinition of fatty liver\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAccording to Asia-Pacific Working Party guidelines\u003csup\u003e27\u003c/sup\u003e, people with excessive drinking (\u0026gt; 140 g / week for men, \u0026gt; 70 g / week for women) or liver virus were excluded. The experienced operator performed abdominal ultrasound tests, and then, without knowing other data from the participants, the gastroenterologists diagnosed fatty liver which was based on liver contrast and liver brightness\u003csup\u003e28\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp; The presentation of continuous variables was divided according to their distribution status:(1) normal distribution (mean \u0026plusmn; standard deviation) and skewed distribution (median (quartile)). Categorical variables were presented as frequency or as percentage. Whether the differences between groups were statistically different was tested by One-way analysis of variance (normal distribution), Kruskal Wallis H test (skewed distribution), and Chi-square test (categorical variable). We used univariate and multivariate binary logistic regression to assess the correlation between TyG and NAFLD. According to the STROBE statement, three models were used to evaluate the relationship: unadjusted, minimally adjusted, and fully adjusted models. We selected potential covariates if they changed the estimates of TyG on NAFLD by at least 10% or were significantly correlated with NAFLD. Thus, potential covariates involved in this study included age, BMI, WC, ALT, AST, GGT, HDL-C, TC, TG, HbA1C, FPG, SBP, DBP, and ethanol consumption, gender, regular exercise, Smoking status. For sensitivity analysis, we treated TyG as a continuous and categorical variable to evaluate its relationship to NAFLD. Besides, the nonlinear relationship between TyG and NAFLD was estimated using the Generalized Additive Model (GAM). If there was a non-linear relationship, we used the recursive method to calculate the inflection point, performed a two-piecewise linear regression, and used the maximum model likelihood test. To find modifications and interactions, we used a stratified linear regression model and a likelihood ratio test in the different subgroups. For the evaluation of diagnostic ability, we performed the receiver operating characteristic (ROC) curve analysis and compared the areas under the ROC curve (AUC) to find the strongest predictor of NAFLD. We performed statistical analyses with the statistical software packages R (http://www.R-project.org, The R Foundation), MedCalc software programs (Version 19.0.7), and Empower-Stats (http://www.empowerstats.com, X\u0026amp;Y Solutions,Inc., Boston, MA). Statistically different was defined as P values less than 0.05.\u0026nbsp;\u003c/p\u003e"},{"header":"Results","content":" \u003cp\u003e\u003cstrong\u003eBaseline characteristics of selected participants \u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; 13,178 participants in total were selected for the present research through strict selection criteria. Table 1, grouped by TyG quartiles, shows the baseline characteristics of these selected participants. In general, the average age of those selected was 43.36 \u0026plusmn; 8.89 years old, and 51.02% of those were male. A total of 2361 had NAFLD and the prevalence was 17.92%. No statistically significant differences were detected among different TyG groups (all p values \u0026lt; 0.05). Compared to that of other three groups (Q 1-3), Participants in the highest group of TyG (Q 4) had the higher values in age, BMI, WC, ALT, AST, GGT, TC, TG, HbA1C, FPG, SBP, DBP and consisted of more male, past and current smoker, NAFLD than those of the other groups. The contrary results were detectd in HDL-C, female, regular exercise, non -smoker, non-NAFLD.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eUnivariate analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp; The results of the univariate analysis were showed in Table 2. We performed univariate binary logistic regression and found that HDL-C and regular exercise were negatively correlated with NAFLD. To the contrary, the univariate analysis displayed that age, BMI, WC, ALT, AST, GGT, TC, TG, HbA1C, FPG, SBP, DBP, TyG, ethanol consumption, male, smoking status (past and current) were positively correlated with Nonalcoholic fatty liver.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults of unadjusted and adjusted binary logistic regression\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this study, we used univariate and multivariate binary logistic regression to construct three models through to analyze to assess the independent effect of TyG on NAFLD. Table 3 shows the effect sizes (Odds ratio (OR)) and 95% confidence intervals. In the unadjusted model, TyG showed positive correlation with NAFLD (OR=7.79, 95% confidence interval (CI): 7.08 - 8.56, P \u0026lt;0.0001). In the minimum-adjusted model, the result did not change significantly after adjusting for age and gender (OR=6.18, 95% CI 5.59 - 6.83, P \u0026lt;0.0001). In fully adjusted model (adjusted age, gender, ALT, AST, GGT, SP, BMI, WC, regular exercise, HDL-C, TC, HbA1C, Ethanol consumption, Smoking status), the association between TyG and NAFLD could also be detected (OR=2.45, 95% CI 2.12-2.82, P \u0026lt;0.0001). For the stability of our results, TyG was treated as categorical variable (Quartile of TyG) and the P for trend in the fully adjusted model was agreed with the result when TyG was a continuous variable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThe results of the nonlinearity of TyG and \u003c/strong\u003e\u003cstrong\u003eNAFLD\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp; In the present study, the non-linear correlation between TyG and NAFLD was analyzed by the Smooth curve and the Generalized additive model (Figure 1 and Table 4). After adjusting for age, gender, BMI, WC, ALT, AST, GGT, HDL-C, TC, TG, HbA1C, FPG, SBP, DBP, ethanol consumption, regular exercise, and smoking status, we detected that the correlation between TyG and NAFLD was non-linear. Using two-piecewise binary logistic regression and recursive algorithm, the inflection point of curve was calculated to be 8.22 (log-likelihood ratio test P 0.023). When TyG was less than 8.22, the effect size and 95% CI were 3.26, 2.44 - 4.35, respectively. When TyG was greater than or equal to 8.22, the effect size and 95% CI were 2.09, 1.72 - 2.54, respectively.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThe results of subgroup analyses\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;The stratification variables (age, gender, ALT, AST, GGT, HDL-C, TC, HbA1c, obesity, visceral fat obesity, hypertension, smoking status, ethanol consumption, regular exercise) were used to assess the trend of effect sizes (Table 5). The tests of interaction were statistically significant for these variables including gender, GGT, Obesity, visceral fat obesity. For men, one unit increase of TyG was correlated with 3.20 times higher risk of NAFLD. For women, an increase of the TyG by one unit was associated with 2.24 times higher risk of NAFLD. The change in gender is significant (P for interaction = 0,0076). The stronger association was also detected in low GGT (3.73 with low GGT vs 2.25 with middle GGT, and vs 2.12 with high GGT ), non-obesity (2.72 with non-obesity vs 1.99 with obesity), non-visceral fat obesity (2.65 with non-visceral fat obesity vs 1.88 with visceral fat obesity).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eROC analyses for TyG, ALT, FPG, and TG to predict the risk of \u003c/strong\u003e\u003cstrong\u003eNAFLD\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFor predicting the risk of NAFLD, we performed ROC analyses by using TyG, ALT, FPG, and TG in Figure 2 and Table 6. Among the total population, the areas under the ROC curve (AUC) of TyG was 0.810（95 % CI 0.804 - 0.817）, which was worse than ALT [ 0.829 (95 % CI 0.822 - 0.835), P \u0026lt; 0.0001] but better than TG [ 0.799 (95 % CI 0.792 - 0.805), P \u0026lt; 0.0001] and FPG [ 0.715 (95 % CI 0.707 - 0.722), P \u0026lt; 0.0001]. Among the men, the ROC AUCs (95% CI) were 0.748 (0.737 - 0.758), 0.797 (0.788 - 0.807), 0.635 (0.624 - 0.647) and 0.739 (0.728 - 0.749) for TyG, ALT, FPG, and TG, respectively. Among the women, AUCs of ROC (95% CI) for TyG, ALT, FPG, and TG were 0.818 (0.809 - 0.828), 0.765 (0.755 - 0.776), 0.719 (0.708 - 0.730), and 0.804 (0.794 - 0.814), respectively. For men, the AUC was worse for TyG than ALT but better than TG and FPG (P \u0026lt;0.0001). For women, the AUC for the TyG was superior to ALT, FPG, and TG (P\u0026lt;0.0001). \u0026nbsp;\u003c/p\u003e"},{"header":"Discussion","content":" \u003cp\u003eThe present study indicated TyG, both as continuous and categorical variables, was positively correlated with NAFLD after adjusting relative covariates. We firstly detected that the non-linear relation between TyG and NAFLD showed a threshold effect. When the inflection point is 8.22, the relationships between TyG and NAFLD showed significant differences [left (OR 3.26, 95% CI 2.44\u0026ndash;4.35) VS right (OR 2.09, 95% CI 1.72\u0026ndash;2.54), P\u0026thinsp;\u0026lt;\u0026thinsp;0.05]. Besides, the results of this research found the stronger relationships were observed in male, low GGT, non-obesity, non-visceral fat obesity by conducted subgroup analysis. Furthermore, comparing the AUC, the predictive value of ALT was superior to TG, FPG, and TyG in the males and the total population, however, TyG had the strongest predictive power on NAFLD in the females.\u003c/p\u003e \u003cp\u003eIR is characterized by decreasing sensitivity of tissues to insulin which can inhibit lipolysis of adipose tissue. Excessed free fatty acids, caused by IR, are deposed in the liver and results in the formation of hepatic steatosis\u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e\u003c/sup\u003e. Lipotoxicity of FFAs presents as increasing oxidative stress and mitochondrial dysfunction in hepatocytes\u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e. For reducing lipotoxicity, the FFAs are resynthesized into triglycerides which can be stored in hepatocytes or transported as very low density lipoprotein (VLDL) into blood\u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e. IR most often presents with hyperglycemia and hypertriglyceridemia. Simental-Mendia et al.\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003eproposed that TyG expressed as Ln (fasting triglycerides (mg/d\u003cspan type=\"Underline\" class=\"Underline\" name=\"Emphasis\"\u003el)\u003c/span\u003e\u0026thinsp;\u0026times;\u0026thinsp;fasting blood glucose (mg/dl)/2), was highly correlated with euglycemic-hyperinsulinemic clamp test and HOMA-IR\u003csup\u003e\u003cspan additionalcitationids=\"CR7\" citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. Thus, many studies have explored the association between TyG and NAFLD. In a retrospective cohort study that selected 16,093 apparently healthy Japanese participants, Kitae, A et al.\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e demonstrated that the higher TyG at baseline indicated a higher probability of NAFLD both in men and women. Similar findings were also reported in the researches of Zhang, S et al.\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e, Zheng, R et al.\u003csup\u003e\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e, Petta, S et al.\u003csup\u003e\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u003c/sup\u003e, Lee, S.B et al.\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e, Fedchuk, L et al.\u003csup\u003e\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e, and Luis E. Simental-Mend\u0026iacute;a et al.\u003csup\u003e\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u003c/sup\u003e. Their conclusions were agreed with our findings. However, some other studies were not consistent with our findings. Selecting 89 patients with morbid obesity, Cazzo, E et al.\u003csup\u003e\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e\u003c/sup\u003e did not detect a significant correlation between TyG and NAFLD in a cross-sectional study. The cross-sectional study found that LAP, rather than TyG, was independently associated with hepatic steatosis which was assessed by controlled attenuation parameter (CAP) among 101 women with polycystic ovary syndrome\u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e. Previous studies are controversial due to different study designs, population ethnicity, sample size, and statistical method.\u003c/p\u003e \u003cp\u003eIn the subgroup analysis, we found that BMI, WC, GGT, and gender affect the association between TyG and NAFLD after adjusting other covariates. Zhang, S et al.\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e also detected that the stronger association between TyG and NAFLD were detected in BMI\u0026thinsp;\u0026lt;\u0026thinsp;25\u0026nbsp;kg/m\u003csup\u003e2\u003c/sup\u003e (OR 4.1 with BMI\u0026thinsp;\u0026lt;\u0026thinsp;25\u0026nbsp;kg/m\u003csup\u003e2\u003c/sup\u003e vs OR 2.8 with BMI\u0026thinsp;\u0026gt;\u0026thinsp;=\u0026thinsp;25\u0026nbsp;kg/m\u003csup\u003e2\u003c/sup\u003e) after adjusting related covariates, however, the association was not found in different gender. A meta-analysis showed that the prevalence of NAFLD was different in gender and men were more likely than women to suffer from NAFLD\u003csup\u003e\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u003c/sup\u003e. The potential mechanism is the sex hormone difference between men and women. Similar results have not been reported before, we are unable to explain why the associations between TyG and NAFLD are stronger in low GGT, non-visceral fat obesity.\u003c/p\u003e \u003cp\u003eTo the best of our knowledge, Petta, S et al. \u003csup\u003e\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e\u003c/sup\u003efirst showed that TyG index, whose AUC is 0.682, predicted the severity of liver steatosis in 340 Italian patients with Genotype 1 Chronic Hepatitis C. Then, TyG, which was correlated with IR, could be used to diagnose liver steatosis but had deficiency quantitative evaluation for the severity of fatty liver, which was proposed by Fedchuk, L et al.\u003csup\u003e\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e. In addition, Simental-Mendia et al.\u003csup\u003e\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u003c/sup\u003e observed that TyG is better than SteatoTest, NashTest, and Fatty liver index for detecting hepatic steatosis in 50 asymptomatic women. Among 10,761 healthy Chinese subjects, Zhang, S et al.\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e reported that TyG is a potential diagnostic indicator of NAFLD by a cross-sectional study. When the cut-off value of TyG is 8.5, the sensitivity and specificity is 72.2% and 70.5%, respectively. The population-based cohort study performed by Zheng R et al. showed that TyG independently correlates with NAFLD and is a reliable indicator for predicting NAFLD which comparing with ALT, TG, and FPG. Compared with HOMA-IR, TyG has a stronger ability to predict the risk of NAFLD in 4,986 Korean population, which conducted by Lee, S.B et al.\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e. However, our study displayed that TyG was better than ALT, TG, and FPG in diagnosing NAFLD only in women and ALT, rather than TyG, is the strongest indicator in men and total population. The previous studies have not compared TyG to ALT in different gender, thus, more research is needed to find the stronger predictors for identifying NAFLD.\u003c/p\u003e \u003cp\u003eOur study offers several advantages. (1) the sample size of our study is relatively large; (2) In the observational study, we fully adjust potentially confounding factors such as ethanol consumption, regular exercise, and smoking status. (3) For sensitivity analysis, we explore the relationship between TyG and NAFLD by treating TyG as continuous and categorical variables; (4) In contrast to previous studies, GAM is used to explore the nonlinear relationship between TyG and NAFLD; (5) In the subgroup analysis, we use stratified linear regression models and likelihood ration tests to find the modifications and interactions and to get a stable result in different subgroups.\u003c/p\u003e \u003cp\u003eSome limitations in the present study should be listed. (1) Our study is a retrospective study that cannot draw a conclusion on the direction of causality. However, it can provide direction for future research; (2) Our study has strict criteria for inclusion and exclusion, the extrapolation of our results may exist limitations. However, this can enhance the accuracy of the result; (3) The gold standard of NAFLD is liver biopsy, however, cheap and convenient ultrasonography is frequently used in large epidemiological studies; (4) Raw data does not offer other laboratory results, such as insulin concentration, inflammatory factors, which may correlations with TyG and NAFLD.\u003c/p\u003e "},{"header":"Conclusion","content":"\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/strong\u003eThe association between TyG and NAFLD is non-linear. TyG is stronger positively correlated to the risk of NAFLD when TyG is less than 8.22. TyG is helpful to identify individuals with NAFLD.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eBMI, body mass index; WC, Waist circumference; HDL-C, high-density lipoprotein cholesterol; TC, Total cholesterol; TG, Triglycerides; HbA1c, hemoglobin A1c; FPG, Fasting plasma glucose; SBP, systolic blood pressure; DBP, diastolic blood pressure; GAM, Generalized additive models; TyG, Triglyceride-glucose index; NAFLD, Nonalcoholic fatty liver.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors are thankful to Okamura et al.\u003csup\u003e26\u003c/sup\u003e who provides datas.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEn-qian Liu performed the analysis and interpretation of the data and drafted the manuscript. Ya-ping Weng and Ai-ming Zhou contributed to the discussion and reviewed the manuscript. Chun-lai Zeng helped to supervise the study. Finally, the final manuscript was read and approved by all authors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research did not receive any grant.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData can be downloaded from \u0026lsquo;DATADRYAD\u0026rsquo; database (www.Datadryad.org).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMurakami Memorial Hospital's Ethics Committee approved Okamura et al.\u003csup\u003e26\u003c/sup\u003e and every subject signed an informed consent form.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\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\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll the authors reported that they have no conflicts of interest.\u003cstrong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003csup\u003e1 \u003c/sup\u003eDepartment of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, Zhejiang, China. \u003csup\u003e2\u003c/sup\u003e Department of Gastroenterology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, Zhejiang, China. \u003csup\u003e3\u003c/sup\u003e Department of Critical Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China. \u003csup\u003e4\u003c/sup\u003e Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui 323000, Zhejiang, China\u003c/p\u003e"},{"header":"References","content":"\n\u003col\u003e\n\u003cli\u003eAndronescu CI, Purcarea MR, Babes PA. 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Prevalence of nonalcoholic fatty liver disease in mainland of China: A meta-analysis of published studies. \u003cem\u003eJ Gastroen Hepatol. \u003c/em\u003e2014;29(1):42-51. doi:10.1111/jgh.12428\u003c/li\u003e\n\u003c/ol\u003e\n"},{"header":"Tables","content":"\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 10px; font-family: Verdana, Geneva, sans-serif; color: rgb(0, 0, 0);\"\u003eTable1\u003c/span\u003e\u003c/strong\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;Baseline characteristics of study participants by quartiles of TyG\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003ctable cellspacing=\"3\" style=\"width: 5.0e+2pt;border: none;margin-left:-35.45pt;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd 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style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:40.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eAge, years\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e40.28 \u0026plusmn; 8.11\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e43.20 \u0026plusmn; 8.85\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e44.69 \u0026plusmn; 8.89\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e45.60 \u0026plusmn; 8.76\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:41.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp 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style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eBMI, kg/m2\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e20.34 \u0026plusmn; 2.37\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp 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style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eWC, cm\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp 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style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e77.73 \u0026plusmn; 8.50\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e82.83 \u0026plusmn; 8.31\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:41.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp 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style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eHDL-C, mg/dL\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e65.25 \u0026plusmn; 14.52\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e60.02 \u0026plusmn; 14.51\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e53.61 \u0026plusmn; 13.09\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e44.62 \u0026plusmn; 10.68\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:41.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:40.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTC, mg/dL\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e181.74 \u0026plusmn; 29.94\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e193.85 \u0026plusmn; 30.58\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e203.30 \u0026plusmn; 31.10\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e215.81 \u0026plusmn; 33.57\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:41.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:40.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp 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style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eHbA1C, %\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e5.12 \u0026plusmn; 0.30\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e5.16 \u0026plusmn; 0.31\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e5.20 \u0026plusmn; 0.33\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp 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style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eFPG, mg/dL\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e88.24 \u0026plusmn; 6.71\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e91.67 \u0026plusmn; 6.79\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e94.10 \u0026plusmn; 6.63\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e96.99 \u0026plusmn; 6.54\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:41.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:40.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSBP, mmHg\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e107.33 \u0026plusmn; 12.60\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e111.64 \u0026plusmn; 13.88\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e115.86 \u0026plusmn; 14.44\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e120.90 \u0026plusmn; 14.69\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:41.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:40.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eDBP, mmHg\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e66.31 \u0026plusmn; 8.89\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e69.35 \u0026plusmn; 9.64\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp 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.75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e114 (3.42%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e212 (6.49%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e339 (11.01%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:41.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:40.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNAFLD, %\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:41.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:40.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e-\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;text-indent:9.0pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003enon\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e3407 (97.54%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e3079 (92.30%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2633 (80.54%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1698 (55.13%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:41.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:40.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:82.85pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; yes\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e86 (2.46%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e257 (7.70%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:83.55pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e636 (19.46%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1382 (44.87%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:41.05pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:40.25pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eValues are means \u0026plusmn;SDs, Median (Q1-Q3),\u0026nbsp;or n (%). Differences in baseline characteristics were compared with the use of chi-square tests for categorical variables and ANOVA for continuous variables.\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cspan style=\"font-weight: normal; font-style: normal;\"\u003eBMI, body mass index; WC, Waist circumference\u003c/span\u003e; HDL-C, \u003cspan style=\"font-weight: normal; font-style: normal;\"\u003ehigh-density\u003c/span\u003e \u003cspan style=\"font-weight: normal; font-style: normal;\"\u003elipoprotein cholesterol\u003c/span\u003e; TC, \u003cspan style=\"font-weight: normal; font-style: normal;\"\u003eTotal cholesterol\u003c/span\u003e; TG, \u003cspan style=\"font-weight: normal; font-style: normal;\"\u003eTriglycerides\u003c/span\u003e;\u0026nbsp;HbA1C,\u0026nbsp;\u003cspan style=\"font-weight: normal; font-style: normal;\"\u003ehemoglobin A1c\u003c/span\u003e;\u0026nbsp;FPG, \u003cspan style=\"font-weight: normal; font-style: normal;\"\u003eFasting plasma glucose; SBP, systolic blood pressure; DBP, diastolic blood pressure; TyG,\u0026nbsp;\u003c/span\u003eTriglyceride-glucose index; NAFLD,\u0026nbsp;Nonalcoholic fatty liver.\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTable 2 Univariate analysis for NAFLD\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003ctable cellspacing=\"3\" style=\"border: none;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;border-top:solid windowtext 1.5pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:76.45pt;border-top:solid windowtext 1.5pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eStatistics\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;border-top:solid windowtext 1.5pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eOR(95% CI) \u0026nbsp; \u0026nbsp;P-value \u0026nbsp; \u0026nbsp;\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eAge, years\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e43.36 \u0026plusmn; 8.89\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.02 (1.01, 1.02) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eBMI, kg/m2\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e22.06 \u0026plusmn; 3.16\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.65 (1.61, 1.68) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eWC, cm\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e76.08 \u0026plusmn; 9.14\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.21 (1.20, 1.22) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eALT, IU/L\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e16.00 (12.00-23.00)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.10 (1.10, 1.11) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eAST, IU/L\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e17.00 (14.00-21.00)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.09 (1.08, 1.10) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eGGT, IU/L\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e14.00 (11.00-20.00)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.05 (1.04, 1.05) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eHDL-C, mg/dL\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e56.22 \u0026plusmn; 15.39\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.93 (0.92, 0.93) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTC, mg/dL\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e198.12 \u0026plusmn; 33.66\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.01 (1.01, 1.01) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTG, mg/dL\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e78.43 \u0026plusmn; 55.89\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.02 (1.02, 1.02) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eHbA1C, %\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e5.18 \u0026plusmn; 0.32\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e4.40 (3.80, 5.08) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eFPG, mg/dL\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e92.60 \u0026plusmn; 7.40\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.12 (1.11, 1.12) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSBP, mmHg\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e113.71 \u0026plusmn; 14.77\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.05 (1.05, 1.06) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eDBP, mmHg\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e70.93 \u0026plusmn; 10.33\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.08 (1.08, 1.09) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTyG\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e8.00 \u0026plusmn; 0.64\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e7.79 (7.08, 8.56) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eEthanol consumption (g/week)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.00 (0.00-18.00)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.00 (1.00, 1.00) 0.0039\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eGender, %\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;text-indent:4.7pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003efemale\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e6455 (48.98%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eRef\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;male\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e6723 (51.02%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e5.06 (4.54, 5.64) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eVisceral fat obesity, %\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;text-indent:9.45pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003enon\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e11439 (86.80%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eRef \u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;text-indent:9.45pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eyes\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1739 (13.20%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e6.48 (5.81, 7.22) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eObesity, %\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;text-indent:9.45pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003enon\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp 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style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;text-indent:9.0pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003enon\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e12460 (94.55%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eRef\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:118.25pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; yes\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:76.45pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e718 (5.45%)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:111.15pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e4.45 (3.81, 5.19) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eCI confidence interval, Ref reference\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTable 3 Relationship between\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eTyG\u003cstrong\u003e\u0026nbsp;and\u0026nbsp;\u003c/strong\u003eNAFLD\u0026nbsp;in different models\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003ctable cellspacing=\"3\" style=\"border: none;width:439.45pt;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"border-top:solid windowtext 1.5pt;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:none;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eVariable\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:125.3pt;border-top:solid windowtext 1.5pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eCrude model\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e(OR, 95% CI, P)\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:126.1pt;border-top:solid windowtext 1.5pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eMinimally adjusted model\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;(OR, 95% CI, P)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:104.05pt;border-top:solid windowtext 1.5pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eFully adjusted model\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e(OR, 95% CI, P)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTyG\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:125.3pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e7.79 (7.08, 8.56) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:126.1pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e6.18 (5.59, 6.83) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:104.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.45 (2.12, 2.82) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTyG (quartile)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:125.3pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:126.1pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"width:104.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; \u0026nbsp;Q1\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:125.3pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eRef\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:126.1pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eRef\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:104.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eRef\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; \u0026nbsp;Q2\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:125.3pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e3.31 (2.58, 4.24) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:126.1pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.70 (2.10, 3.48) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:104.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.57 (1.19, 2.08) 0.0016\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; \u0026nbsp;Q3\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:125.3pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e9.57 (7.60, 12.05) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:126.1pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e6.89 (5.44, 8.72) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:104.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.42 (1.84, 3.18) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; \u0026nbsp;Q4\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:125.3pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e32.24 (25.73, 40.40) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:126.1pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e20.49 (16.21, 25.89) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:104.05pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e3.95 (2.97, 5.27) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eP for trend\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:125.3pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:126.1pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:104.05pt;border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.0001\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eCrude model: we did not adjust other covariates\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eMinimally adjusted model: we adjusted age and sex\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eFully adjusted model: we adjusted gender; age; ALT; AST; GGT; SP; BMI; WC; regular exercise; HDL-C; TC; HbA1C; Ethanol consumption;\u0026nbsp;Smoking status.\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eCI confidence interval, Ref reference\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTable 4 The result of two-piecewise linear regression model\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003ctable cellspacing=\"3\" style=\"border: none;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"border-top:solid windowtext 1.5pt;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:none;padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"border-top:solid windowtext 1.5pt;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:none;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eOR, 95%CI, P value\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eFatting model by standard linear regression\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.45 (2.12, 2.82) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eFitting model by two-piecewise linear regression\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eInflection point\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e8.22\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; \u0026lt;8.22\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e3.26 (2.44, 4.35) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; \u0026gt; 8.22\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.09 (1.72, 2.54) \u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eP for log likelihood ratio test\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"border:none;border-bottom:solid windowtext 1.5pt;padding:.75pt .75pt .75pt .75pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.023\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eWe adjusted gender; age; ALT; AST; GGT; SP; BMI; WC; regular exercise; HDL-C; TC; HbA1C; Ethanol consumption;\u0026nbsp;Smoking status.\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eCI confidence interval\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eTable 5\u0026nbsp;\u003c/strong\u003eEffect size of TyG on\u0026nbsp;NAFLD\u0026nbsp;in prespecified and exploratory subgroups\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003ctable style=\"width: 4.7e+2pt;border-collapse:collapse;border:none;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:99.25pt;border-top:solid windowtext 1.5pt;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:none;padding:0in 5.4pt 0in 5.4pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eCharacteristic\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border-top: 1.5pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;No. of participants\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border-top: 1.5pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eOR (95%CI)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border-top: 1.5pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cem\u003eP\u003c/em\u003e\u0026nbsp;-value\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border-top: 1.5pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cem\u003eP\u003c/em\u003e\u0026nbsp;for interaction\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eAge (year)\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.2561\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; \u0026le;60\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e429\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e1.81 (1.04, 3.13)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.0348\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u0026nbsp;＞60\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e12742\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.50 (2.17, 2.89)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eGender\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; Male\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e6455\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e3.20 (2.50, 4.09)\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp 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style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2597\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.37 (1.86, 3.02)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eEthanol consumption\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.4843\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;40 (g/week)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e10779\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.49 (2.14, 2.91)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e40-140\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2392\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.26 (1.76, 2.91)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eRegular exercise\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.9802\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; Non\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e10900\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.44 (2.10, 2.84)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 99.25pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1.5pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp; Yes\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 103.85pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1.5pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2271\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1.5pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e2.45 (1.87, 3.22)\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 54.8pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1.5pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt;0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 104.3pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1.5pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:center;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNote 1: Above model adjusted for\u0026nbsp;gender; age; ALT; AST; GGT; SP; BMI; WC; regular exercise; HDL-C; TC; HbA1C; Ethanol consumption;\u0026nbsp;Smoking status.\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNote 2: In each case, the model is not adjusted for the stratification variable\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cbr\u003e\u0026nbsp;\u003cstrong\u003eTable 6\u003c/strong\u003e\u0026nbsp;Areas under the receiver operating characteristic curves (AUROC) of TyG for identifying nonalcoholic fatty in different gender.\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003ctable style=\"border: none;width:283.5pt;border-collapse:collapse;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;border-top: 1.5pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;background: white;padding: 1.5pt 6pt 0.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eVariable\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;border-top: 1.5pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;background: white;padding: 1.5pt 6pt 0.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eAUC\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;border-top: 1.5pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;background: white;padding: 1.5pt 6pt 0.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e95%\u0026nbsp;CI\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;border-top: 1.5pt solid windowtext;border-left: none;border-bottom: 1pt solid windowtext;border-right: none;background: white;padding: 1.5pt 6pt 0.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eP-Value\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eMen\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTyG\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.748\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.737 to 0.758\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e--\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eALT\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.797\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.788 to 0.807\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt; 0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eFPG\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.635\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.624 to 0.647\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt; 0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTG\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.739\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.728 to 0.749\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt; 0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eWomen\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTyG\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;margin-right:21.0pt;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.818\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.809 to 0.828\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e--\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eALT\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.765\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.755 to 0.776\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt; 0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eFPG\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.719\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.708 to 0.730\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt; 0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTG\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.804\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.794 to 0.814\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt; 0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTotal\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;border: none;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTyG\u0026nbsp;\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.810\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.804 to 0.817\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e--\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eALT\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.829\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.822 to 0.835\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.0020\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eFPG\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.715\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 85.05pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.707 to 0.722\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 70.85pt;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u0026lt; 0.0001\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 68.7pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1.5pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eTG\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.9pt;border-top: none;border-right: none;border-left: none;border-image: initial;border-bottom: 1.5pt solid windowtext;padding: 1.5pt 6pt 0.75pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:left;\"\u003e\u003cspan style=\"font-family: \n Verdana, Geneva, sans-serif;\"\u003e\u003cspan style=\"font-size: \n 10px;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e0.799\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n 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style=\"margin:0in;margin-bottom:.0001pt;font-size:14px;font-family:DengXian;text-align:justify;\"\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":"Glucose, Triglycerides, Triglyceride-glucose index, Nonalcoholic fatty liver, Association ","lastPublishedDoi":"10.21203/rs.3.rs-21504/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-21504/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eBackground: Evidences regarding the association between triglyceride-glucose index (TyG) and Nonalcoholic fatty liver (NAFLD) are controversial. Therefore, the goals of this research are to evaluate whether TyG is independently associated with NAFLD and the ability of TyG index to detect NAFLD in the Japanese population. \u003c/p\u003e\u003cp\u003eMethods: The present study was a cross-sectional study. The data was downloaded from the DATADRYAD website. A total of 13178 participants was involved in a hospital in Japan from 2004 to 2015. The correlation between TyG and NAFLD was detected by using binary logistic regression and Generalized additive models. The likelihood ration test was used to examine the modification and interaction of subgroups. Furthermore, the ability of TyG to predict NAFLD was evaluated by using receiver operating characteristic (ROC) curves. The formula for the TyG index was ln [fasting triglyceride level (mg / dl) × fasting blood glucose level (mg / dl) / 2] \u003c/p\u003e\u003cp\u003eResults: The average age of the selected participants was 43.36±8.89 years old, and about 51.02% of them were male. In fully-adjusted binary logistic regression model, TyG was positively related with the risk of NAFLD (Odds ratio (OR)=2.45, 95%CI 2.12-2.82). The relationship between TyG and NAFLD was a non-linear relationship, and its inflection point was 8.22. The effect sizes and the confidence intervals of the left and right sides of inflection point were 3.26(2.44 - 4.35) and 2.09 (1.72 - 2.54), respectively. By subgroup analysis, the stronger association was found in females, low GGT, non-obesity, non-visceral fat obesity (P for interaction \u0026lt;0.05). Among the total population, the AUC for TyG [0.810 (0.804 - 0.817)] was worse than ALT [ 0.829 (0.822 - 0.835)] but better than TG [ 0.799 (0.792 - 0.805)] and FPG [ 0.715 (0.707 - 0.722)]. A similar result was found for men. In the women, the AUC for the TyG was superior to ALT, FPG, and TG. \u003c/p\u003e\u003cp\u003eConclusion: The association between TyG and NAFLD is non-linear. TyG is stronger positively correlated to the risk of NAFLD when TyG is less than 8.22. TyG is helpful to identify individuals with NAFLD.\u003c/p\u003e","manuscriptTitle":"The triglyceride-glucose index (TyG) and Nonalcoholic fatty liver in the Japanese population: a retrospective cross-sectional study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2020-04-10 19:43:13","doi":"10.21203/rs.3.rs-21504/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":"0a2c1541-ddca-45d0-b1b1-6998ad72584c","owner":[],"postedDate":"April 10th, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":82198,"name":"Endocrinology \u0026 Metabolism"}],"tags":[],"updatedAt":"2020-04-10T19:43:14+00:00","versionOfRecord":[],"versionCreatedAt":"2020-04-10 19:43:13","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-21504","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-21504","identity":"rs-21504","version":["v1"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}