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Gender-specific Association of Sleep Duration with Body Mass Index,Waist Circumference,and Body Fat in Chinese Adults 被引量:2
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作者 yaN Liu Xia CHEN Xiao Rong +7 位作者 CHEN Bo bai ya min LI Jian Hong ZHANG Xin Wei DONG Zhong WANG Hao MI Sheng Quan ZHAO Wen Hua 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2017年第3期157-169,共13页
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 adul... 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/m^2, 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. 展开更多
关键词 Sleep duration GENDER OBESITY Quantile regression
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Clustering of Non-communicable Diseases Risk Factors in Healthy Adults Aged 35 Years and Older in Shenzhen,China 被引量:2
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作者 NI Wen Qing XU Jian +7 位作者 LIU min LIU Xiao Li yaNG Li Chen ZHUO Zhi Peng YUAN Xue Li SONG Jin Ping CHI Hong Shan bai ya min 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2017年第9期661-666,共6页
We assessed the prevalence of non‐ communicable diseases(NCDs) risk factors with a focus on their clustering among healthy adults in Shenzhen, China. Data from the 2011 China Health and Nutrition Survey, comprising... We assessed the prevalence of non‐ communicable diseases(NCDs) risk factors with a focus on their clustering among healthy adults in Shenzhen, China. Data from the 2011 China Health and Nutrition Survey, comprising a regionally representative sample of 806 healthy adults aged 35 years or older, were obtained to determine the prevalence of five risk factors for NCDs. The prevalence of current smoking, central obesity, impaired fasting glucose, borderline hypertension, and borderline high total cholesterol was 19.97%, 28.29%, 4.47%, 10.55%, and 36.10%, respectively. A total 63.77% of participants had at least one risk factor. Upon examination of risk factor clustering, we observed that 7.57% of participants had at least three risk factors. Using this threshold as a cutoff, clustering of risk factors was associated with sex [odds ratio(OR) = 3.336, 95% confidence interval(CI): 1.782 to 6.246], physical activity(OR = 1.913, 95% CI: 1.009 to 3.628), and BMI(OR = 7.376, 95% CI: 3.812 to 14.270). The prevalence of risk factors for NCDs is fairly high among healthy adults in Shenzhen, with a clustering tendency. 展开更多
关键词 Non‐communicable diseases Healthy adults PREVALENCE Risk factors
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