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Background: Limited information is available on the cutoffs of waist circumference (WC) for predicting type 2 diabetes mellitus (T2DM). We aimed to define the optimal WC cutoffs for predicting T2DM among rural Chinese people., Methods: A cohort of 11 968 participants (732 new-onset T2DM) from a rural area in China with age 18 to 87 years was established at baseline during July to August of 2007 and 2008 and followed up during July to August of 2013 and 2014. Scatterplot, X-tile plot, and receiver operating characteristic (ROC) curve analyses were used to determine WC cutoffs for predicting T2DM., Results: The WC cutoffs for males and females were 84 and 86 cm (scatterplot), 83 and 88 cm (X-tile plot), and 87 and 88 cm (ROC curve). According to the highest risk score, the optimal WC cutoffs were 87 cm for males and 88 cm for females. With the optimal WC cutoffs, the sensitivity, specificity, positive likelihood ratio, area under the ROC curve, and population-attributable risk proportions were 67.9%, 67.0%, 2.06%, 0.70%, and 46%, respectively, for males and 52.5%, 75.0%, 2.10%, 0.69%, and 34%, respectively, for females; the corresponding adjusted hazard ratio for WC predicting T2DM was 3.66 (95% confidence interval 2.80-4.78) for males and 2.55 (2.08-3.12) for females., Conclusions: The optimal WC cutoffs for predicting T2DM were similar between males and females. As well, the criteria of WC for central obesity are no longer practical for predicting T2DM., (Copyright © 2018 John Wiley & Sons, Ltd.)

Background: To compare the accuracy of different obesity indexes, including waist circumference (WC), weight-to-height ratio (WHtR), body mass index (BMI), and lipid accumulation product (LAP), in predicting metabolic syndrome (MetS) and to estimate the optimal cutoffs of these indexes in a rural Chinese adult population., Methods: This prospective cohort involved 8468 participants who were followed up for 6 years. MetS was defined by the International Diabetes Federation, American Heart Association, and National Heart, Lung, and Blood Institute criteria. The power of the 4 indexes for predicting MetS was estimated by receiver operating characteristic (ROC) curve analysis and optimal cutoffs were determined by the maximum of Youden's index., Results: As compared with WHtR, BMI, and LAP, WC had the largest area under the ROC curve (AUC) for predicting MetS after adjusting for age, smoking, drinking, physical activity, and education level. The AUCs (95% CIs) for WC, WHtR, BMI, and LAP for men and women were 0.862 (0.851-0.873) and 0.806 (0.794-0.817), 0.832 (0.820-0.843) and 0.789 (0.777-0.801), 0.824 (0.812-0.835) and 0.790 (0.778-0.802), and 0.798 (0.785-0.810) and 0.771 (0.759-0.784), respectively. The optimal cutoffs of WC for men and women were 83.30 and 76.80 cm. Those of WHtR, BMI, and LAP were approximately 0.51 and 0.50, 23.90 and 23.00 kg/m 2 , and 19.23 and 20.48 cm.mmol/L, respectively., Conclusions: WC as a preferred index over WHtR, BMI, and LAP for predicting MetS in rural Chinese adults of both genders; the optimal cutoffs for men and women were 83.30 and 76.80 cm.

This study compared the ability of body mass index (BMI), waist circumference (WC), conicity index, and waist-to-height ratio (WHtR) to predict incident hypertension and to identify the cutoffs of obesity indices for predicting hypertension in rural Chinese adults. This prospective cohort study recruited 9905 participants aged 18-70 years during a median follow-up of 6 years in rural China. Logistic regression and receiver operating characteristic (ROC) curve analyses were used to assess the association, predictive ability, and optimal cutoffs (in terms of hypertension risk factors) of the four obesity indices: BMI, WC, conicity index, and WHtR. The 6-year cumulative incidence of hypertension was 19.89% for men and 18.68% for women, with a significant upward trend of increased incident hypertension with increasing BMI, WC, conicity index, and WHtR (P for trend < 0.001) for both men and women. BMI and WHtR had the largest area under the ROC curve for identifying hypertension for both genders. The optimal cutoff values for BMI, WC, conicity index, and WHtR for predicting hypertension were 22.65 kg/m 2 , 82.70 cm, 1.20, and 0.49, respectively, for men, and 23.80 kg/m 2 , 82.17 cm, 1.20, and 0.52, respectively, for women. BMI, WC, conicity index, and WHtR cutoffs may offer a simple and effective way to screen hypertension in rural Chinese adults. BMI and WHtR were superior to WC and conicity index for predicting incident hypertension for both genders.

Objective: To investigate the association of change in waist circumference (WC) and incidence of dyslipidaemia in a cohort study of a rural Chinese population., Methods: Change in WC (ΔWC) was defined as the value at follow-up minus the corresponding value at baseline. Risk of dyslipidaemia associated with ΔWC was assessed by odds ratios and 95% confidence intervals in a logistic regression model, and the odds ratios were transformed to relative risks (RRs)., Results: Among 7691 participants without dyslipidaemia at baseline, 3213 (41.78%) showed dyslipidaemia at 6 year follow-up. Risk of dyslipidaemia was decreased for participants with the first quartile of ΔWC and normal baseline WC (adjusted RR [aRR] = 0.79 [95% confidence interval: 0.64-0.98]) and was increased with the fourth quartile of ΔWC and male gender, age 18 to 30 years, age 31 to 50 years, or normal baseline WC (aRR = 1.55 [1.19-2.03], 2.40 [1.16-4.95], 1.32 [1.06-1.64], and 1.66 [1.35-2.04], respectively). The risk of dyslipidaemia increased with change in WC from normal at baseline to abnormal at follow-up for both genders (aRR = 1.88 [1.39-2.55] for men and 1.60 [1.30-1.97] for women) and decreased with abnormal baseline WC changed to normal WC for women (aRR = 0.61 [0.45-0.83])., Conclusions: Dynamic change in waist circumference was closely related to the incidence of dyslipidaemia in a rural Chinese population. Waist circumference reduction could decrease dyslipidaemia risk, whereas WC increase may increase the risk. Interventions to control or reduce WC to within the normal range are important for early prevention of dyslipidaemia., (Copyright © 2017 John Wiley & Sons, Ltd.)

To compare the ability of a body shape index (ABSI) and body adiposity estimator (BAE) to BMI, waist circumference (WC) and waist:height ratio (WHtR) for predicting development of type 2 diabetes mellitus (T2DM) in rural adult Chinese. The prospective cohort study included 11 687 eligible participants who were free of T2DM at baseline. The risk of new-onset T2DM for ABSI, BAE, BMI, WC and WHtR quintiles was estimated by Cox proportional-hazards regression at follow-up. We also compared the power of ABSI and BAE to BMI, WC and WHtR for predicting the development of T2DM. With increasing ABSI, BAE, BMI, WC and WHtR, T2DM incidence was substantially increased (P trend<0·0001). After adjustment for multi-covariates, risk of T2DM was increased from the second to fifth quintile as compared with first quintile for ABSI (1·27; 95 % CI 0·95, 1·69; 1·35; 95 % CI 1·00, 1·82; 1·75; 95 % CI 1·33, 2·32 and 1·87; 95 % CI 1·40, 2·49; P trend<0·0001); BAE (1·82; 95 % CI 1·38, 2·41; 1·93; 95 % CI 1·38, 2·68; 2·73; 95 % CI 1·94, 3·84 and 4·18; 95 % CI 2·98, 5·87; P trend<0·0001); BMI (1·42; 95 % CI 1·03, 1·97; 1·62; 95 % CI 1·18, 2·23; 2·59; 95 % CI 1·92, 3·50 and 3·90; 95 % CI 2·90, 5·26; P trend<0·0001); WC (1·53; 95 % CI 1·08, 2·17; 1·66; 95 % CI 1·18, 2·33; 2·72; 1·97, 3·76 and 4·09; 95 % CI 2·97, 5·62; P trend<0·0001); and WHtR (1·40; 95 % CI 0·98, 1·99; 2·06; 95 % CI 1·47, 2·88; 2·90; 95 % CI 2·10, 4·01 and 4·22; 95 % CI 3·05, 5·85; P trend<0·0001). ABSI, BAE, BMI, WC and WHR were effective and comparable in discriminating cases from non-cases of T2DM. Risk of T2DM was increased with elevated ABSI and BAE, but the predictive ability for T2DM did not differ than that of BMI, WC and WHtR in a rural Chinese population.

Limited information is available on the effect of hypertriglyceridemia-waist (HTGW) combination and its dynamic status on the risk of type 2 diabetes mellitus (T2DM) in rural China. A cohort of 12,086 participants 18 to 92 years old was retained in this study. Kaplan-Meier analysis yielded the cumulative incidence of T2DM for each phenotype group (based on TG level and waist circumference [WC] at baseline). Cox regression yielded hazard ratios relating HTGW (based on TG level and WC at baseline and follow-up) to risk of developing T2DM. After a median follow-up of 6.0 years (71,432 person-years of follow-up), T2DM developed in 621 participants. For HTGW participants, the incidence of T2DM was 26.4/1000, 20.6/1000, and 21.9/1000 person-years for males, females, and overall, respectively. The adjusted HR for HTGW associated with T2DM was 7.63 (95% CI 4.32-13.49) for males and 7.75 (4.71-12.78) for females. Compared with consistent HTGW, with transformation from baseline HTGW to normal WC and normal triglycerides level at follow-up, the risk of developing T2DM was reduced by 75% and 78% for males and females. HTGW is a major risk factor for T2DM, but the risk could be reduced by improved triglycerides level and WC.

We aimed to investigate the association of metabolic obesity phenotypes with all-cause mortality risk in a rural Chinese population. This prospective cohort study enrolled 15 704 Chinese adults (38·86 % men) with a median age of 51·00 (interquartile range: 41·00–60·00) at baseline (2007–2008) and followed up during 2013–2014. Obesity was defined by waist circumference (WC: ≥ 90 cm for men and ≥ 80 cm for women) or waist-to-height ratio (WHtR: ≥ 0·5). The hazard ratio (HR) and 95 % CI for the risk of all-cause mortality related to metabolic obesity phenotypes were calculated using the Cox hazards regression model. During a median follow-up of 6·01 years, 864 deaths were identified. When obesity was defined by WC, the prevalence of participants with metabolically healthy non-obesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy non-obesity (MUNO) and metabolically unhealthy obesity (MUO) at baseline was 12·12 %, 2·80 %, 41·93 % and 43·15 %, respectively. After adjusting for age, sex, alcohol drinking, smoking, physical activity and education, the risk of all-cause mortality was higher with both MUNO (HR = 1·20, 95 % CI 1·14, 1·26) and MUO (HR = 1·20, 95 % CI 1·13, 1·27) v. MHNO, but the risk was not statistically significant with MHO (HR = 0·99, 95 % CI 0·89, 1·10). This result remained consistent when stratified by sex. Defining obesity by WHtR gave similar results. MHO does not suggest a greater risk of all-cause mortality compared to MHNO, but participants with metabolic abnormality, with or without obesity, have a higher risk of all-cause mortality. These results should be cautiously interpreted as the representation of MHO is small. [ABSTRACT FROM AUTHOR]

Objective: The risk of incident hypertension with gain in waist circumference (WC) has not been fully addressed among Chinese adults.Methods: A total of 10 265 non-hypertensive participants ≥18 years old who underwent health examinations in rural China were recruited in 2007-2008 and followed up in 2013-2014. Participants were classified by gender according to categories of per cent WC gain at follow-up: ≤-2.5%, -2.5% to 2.5%, 2.5% to 5% and >5%. Relative risk (RR) and 95% CI values for effect of WC gain on the incident hypertension were calculated by using modified Poisson regression models.Results: During 6 years of follow-up, we identified 2027 hypertension cases (1213 women). From baseline to follow-up, the prevalence of abdominal obesity increased from 21.1% to 29.6% for men and 49.8% to 61.9% for women. As compared with participants who were not abdominally obese at both baseline and follow-up, both genders who were abdominally obese at follow-up showed greater risk of hypertension regardless of abdominal obesity status at baseline. Compared with the reference group of -2.5% to 2.5% change in WC, with >5% WC gain, risk of incident hypertension was increased for men (RR=1.34, 95% CI 1.15 to 1.57) and women (RR=1.28, 95% CI 1.10 to 1.50). The hypertension risk decreased for men with WC loss ≥2.5% (RR=0.81, 95% CI 0.67 to 0.98).Conclusions: Abdominal obesity is seriously prevalent in China. The risk of hypertension increased significantly with increasing WC for both genders in a rural Chinese population. [ABSTRACT FROM AUTHOR]

Aims/Introduction To clarify the association of the hypertriglyceridemic waist phenotype and type 2 diabetes mellitus among adults in China. Materials and Methods In the present case-control study, we included 1,685 patients with type 2 diabetes mellitus and 7,141 normal glucose-tolerant controls from the Henan Province of China in 2011. Elevated waist circumference ( GW) was defined as ≥90 cm for men and ≥80 cm for women. Hypertriglyceridemia ( HT) was defined as >1.7 m mol/L triglycerides ( TG) level. The association of hypertriglyceridemic waist phenotype and type 2 diabetes mellitus was investigated by sex, body mass index, physical activity, and family history of diabetes. Results Cases and controls differed in age, waist circumference ( WC), weight, TG level, fasting glucose, body mass index, smoking status, diabetic family history, physical activity and hypertriglyceridemic waist phenotype ( P < 0.05), but not alcohol drinking ( P = 0.63). In the overall sample, as compared with the phenotype of normal TG level and normal WC ( NTNW), normal TG level/enlarged WC ( NTGW), elevated TG level/normal WC ( HTNW) and elevated TG level/enlarged WC ( HTGW) were associated with type 2 diabetes mellitus (odds ratio 4.14, 2.42 and 6.23, respectively). Only HTGW was consistently associated with risk of type 2 diabetes mellitus, with or without adjustment. The strongest relationship between HTGW and type 2 diabetes mellitus was for subjects with body mass index <24.0 kg/m2 (odds ratio 6.54, 95% confidence interval 4.22-10.14) after adjustment for cofounding variables. Conclusion HTGW was stably and significantly associated with risk of type 2 diabetes mellitus in adult Chinese. [ABSTRACT FROM AUTHOR]