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Objective: This study aimed to assess the association of waist circumference (WC) with all-cause mortality among Chinese adults., Methods: The baseline data were from Shanxi Province of 2002 China Nutrition and Health Survey. The death investigation and follow-up visit were conducted from December 2015 to March 2016. The visits covered up to 5,360 of 7,007 participants, representing a response rate of 76.5%. The Cox regression model and floating absolute risk were used to estimate hazard ratio and 95% floating CI of death by gender and age groups (≥ 60 and < 60 years old). Sensitivity analysis was performed by excluding current smokers; participants with stroke, hypertension, and diabetes; participants who accidentally died; and participants who died during the first 2 years of follow-up., Results: This study followed 67,129 person-years for 12.5 years on average, including 615 deaths. The mortality density was 916 per 100,000 person-years. Low WC was associated with all-cause mortality among men. Multifactor-adjusted hazard ratios ( HR ) were 1.60 (1.35-1.90) for WC < 75.0 cm and 1.40 (1.11-1.76) for WC ranging from 75.0 cm to 79.9 cm. Low WC (< 70.0 cm and 70.0-74.9 cm) and high WC (≥ 95.0 cm) groups had a high risk of mortality among women. The adjusted HR s of death were 1.43 (1.11-1.83), 1.39 (1.05-1.84), and 1.91 (1.13-3.22)., Conclusion: WC was an important predictor of death independent of body mass index (BMI). WC should be used as a simple rapid screening and predictive indicator of the risk of death., (Copyright © 2020 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.)

Objective: To examine the association between habitual sleep duration and obesity among Chinese adults., Methods: The association of sleep duration and obesity was investigated among 7,094 community-dwelling Chinese adults. Sleep duration was self-reported. In this study, obesity was defined as follows: body mass index (BMI) ⋝ 28 kg/m2, waist circumference (WC) ⋝ 85 cm in men and ⋝ 80 cm in women, and percent body fat (%BF) ⋝ 25 in men and ⋝ 35 in women. Logistic and quantile regressions were employed to examine relationships of interest., Results: Overall, 6.42% of the participants reported short sleep durations (< 6 h/d) while 14.71% reported long (⋝ 9 h/d) sleep durations. Long sleepers (⋝ 9 h/d) represented a greater frequency of women with obesity [odds ratio (OR): 1.30; 95% confidence interval (CI), 1.02-1.67] and high body fat (1.43, 1.04-1.96) than those who slept 7-8 h/d. An association between long sleep times and higher BMI estimations was found across the 10th-75th percentile of the BMI distribution. Among men, long sleepers (⋝ 9 h/d) presented lower risks of developing abdominal obesity compared with individuals who slept 7-8 h/d (OR = 0.79, 95% CI: 0.44-0.99)., Conclusion: Our study suggests that long sleep durations are associated with general obesity in Chinese women but reduced waist circumferences in men. Confirmatory studies are needed to determine the heterogeneous association of sleep time and obesity by gender., (Copyright © 2017 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.)

Objective: Obesity is a major risk factor for type 2 diabetes, many indexes can be used to describes obesity and predict diabetes. This research attempts to identify the best indicator of obesity to screening diabetes in Chinese population., Methods: A cross-sectional data of 8121 subjects aged 35-60 years were included in this research belongs to the Diabetes Appropriate Technology Intervention Study. Anthropometric indicators including body weight, height, waist circumferences (WC), body fat index (BFI) and visceral fat index (VFI) and blood biochemical indicators after an overnight fast [fasting blood glucose, total cholesterol, high-density lipoprotein (HDL) cholesterol, and triacylglycerol] were measured. BMI (body mass index) and Weight to Height Ratio was calculated., Results: Subjects with obesity had a higher risk of physician diagnosed diabetes (OR=2.50, 95% CI 1.83-3.43), new diagnosed diabetes (OR=4.23, 95% CI 2.91-6.15) and pre-diabetes (OR=1.75, 95% CI 1.31-2.34) compared to those with normal Body mass index (BMI). There was a significant trend of increased risk of all diabetes status with increased waist circumference (WC). The waist-to-height ratio (WHtR) yielded the most significant association with new diagnosed diabetes and physician diagnosed diabetes than other indices., Conclusion: Central obesity is significantly correlated with diabetes. VFI was most correlated with pre-diabetes while WHtR is an efficient screening index than BMI and WC in Chinese community diabetes screening., (Copyright © 2013 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.)