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[Status of sleep and influencing factors in employed floating population in China]
1Division of Chronic Disease Risk Factor Surveillance, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Abstract:
Objective: To understand the sleep status and related influencing factors among 18-59 years old employed floating population and to provide evidence for policy development. Methods: Data were gathered from the Chinese Floating Population Chronic Disease Surveillance (2012) program. Floating population were selected through multistage clustering sampling method and stratified by industries from China. Information on demographics, behavior-related risk factors, sleep duration and social pressure etc., were collected through face-to-face interview on questionnaires. After complex weighting of data, multivariable logistic regression method was used to explore the sleep status and related influencing factors among these employed floating people. Results: A total of 43 521 subjects were included in the study. The average sleep duration per day was 7.77 h, with females (7.87 h) higher than males (7.69 h). The prevalence of insufficient sleep was 12.3% (95%CI: 11.8%-12.7%), with 45-59 years old group (21.2%) higher than that of the 18-year olds (11.2%). Results from the multivariable logistic regression analysis showed that factors as gender, age, marital status, education, occupation, inflowing area, behavior-related risk factors, BMI, social pressure, self-rated health status and self-reported chronic diseases were the main factors that affecting the rates of sleep deficiency in this population. The prevalence rate of insufficient sleep was 1.18 times higher (95%CI: 1.07-1.31) in males than that in females, and 1.22 (95%CI: 1.11-1.33) times higher in smokers than that in the non-smokers, 1.31(95%CI: 1.16-1.49) times higher in excessive drinkers than that of the normal population, 1.46 (95%CI: 1.29-1.65) times and 1.33 (95%CI: 1.18-1.50) times in those with heavier workload and stress than those without. Conclusion: The prevalence of insufficient sleep among the employed floating population was affected by multiple factors that called for more attention by different departments of the government.
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