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Material and Methods

Associations of Sleep Duration on Work and Off days with Metabolic Syndrome I-Chun Hsieh 1,2 , Jung-Der Wang 1,2 , Yue-liang Guo 1,2 1 Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei, Taiwan

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Material and Methods

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  1. Associations of Sleep Duration on • Work and Off days with Metabolic Syndrome • I-Chun Hsieh1,2, Jung-Der Wang1,2, Yue-liang Guo1,2 • 1 Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei, Taiwan • 2 Graduate Institute of Occupational Medicine and Industrial Hygiene, College of Public Health, National Taiwan University, Taipei, Taiwan Background Metabolic syndrome is a cluster of risk factors that increases the risk of heart disease. It includes pre-hypertension and pre-diabetic status. Shorter sleep durations were associated with hypertension, and diabetes mellitus. However, the relationship between sleep duration and metabolic syndrome was not certain. Table 2. Sleep characteristics in the past one year and distributions for metabolic syndrome* Objective To determine the prevalence and correlates of metabolic syndromes in this occupational population with special interest on the association between sleep duration and presence of metabolic syndrome. • Material and Methods • Twelve-thousand, seven hundred and sixty two employees completed the annual physical examination of a high-tech factory in 2006. Metabolic syndrome was measured following the NECP criteria. Employees were also assessed with a self-filled questionnaire including demographic characteristics, health behaviors, healthcare resource utilizations, health status, sleep-related characteristics, life and work stresses, and musculoskeletal system symptoms. Multivariate nominal logistic regression was used for statistical analysis. a p <0.0001, b p<0.01, c p<0.05 Table 3. Associations between components of sleep in the past one year with metabolic syndrome Results Table 1. Demographic characteristics and distribution for metabolic syndrome* * Model 1: adjusted odds ratios for sex and age using multivariate nominal logistic regression analysis **Model 2: adjusted odds ratio for sex, age, smoking and shift work status a p <0.0001, b p<0.01, c p<0.05 Conclusion Daily sleep quantity of less than 7 hours is associated with having metabolic syndrome. Although direction of implication is still to be determined, this could lead to potential discussion of preventive strategy in the realm of occupational medicine with further work.

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