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Meta-analysis of prospective cohort studies about sleep duration and risk of weight gain and obesity in adults / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 519-525, 2015.
Article in Chinese | WPRIM | ID: wpr-240060
ABSTRACT
Objective This meta-analysis was conducted to quantitatively estimate the associations between sleep duration and weight gain or obesity in adults according to the literature retrieval results of related prospective cohort studies published before October 2014.Methods The literature retrieval was conducted by using PubMed,Embase,Cochrane Library and Chinese databases,including CNKI,VIP and Wan Fang.The pooled relative risk (RR) and 95% confidence intervals (CI) were estimated,and the tests of the publication bias and the heterogeneity were also performed.Results Sixteen literatures met the inclusion criteria were selected for analysis.In 285 452 adults surveyed in these studies,both short sleep duration and long sleep duration significantly increased the risk of weight gain (RR=1.26,95%CI1.12-1.42;RR=1.12,95%CI1.04-1.20),and short sleep duration also increased the risk of obesity (RR=1.35,95%CI1.22-1.50,P<0.001),but long sleep duration was not associated with obesity.In subgroup analysis,the associations were stronger in the studies with higher quality and using <6 h and ≥8 h as the criteria to identify short and long sleep durations.Conclusion The meta-analysis indicated that both short and long sleep durations were associated with weight gain,and short sleep duration could also increase the risk of obesity.Therefore,public health efforts in promoting sufficient sleep may be important in the prevention of obesity.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Prognostic study / Systematic reviews Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2015 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Etiology study / Observational study / Prognostic study / Systematic reviews Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2015 Type: Article