BACKGROUND: Abnormal sleep duration, either long or short, is associated with disease risk and mortality. Little information is available on sleep duration and its correlates among Chinese women. METHODS: Using information collected from 68,832 women who participated in the Shanghai Women's Health Study (SWHS), we evaluated sleep duration and its correlations with sociodemographic and lifestyle factors, health status, and anthropometric measurements and their indexes using polynomial logistic regression. RESULTS: The mean age of the study population was 59.6 years (SD=9.0; range: 44.6-79.9 years) at time of sleep duration assessment. Approximately 80% of women reported sleeping 6-8 h/day, 11.5% slept 5h or less, and 8.7% slept 9h or more. As expected, age was the strongest predictor for sleep duration and was negatively correlated with sleep duration. In general, sleep duration was positively associated with energy intake, intakes of total meat and fruits, body mass index (BMI), waist-hip ratio (WHR), and waist circumference (WC) after adjustment for age and other factors. Both short and long sleep duration were negatively associated with education level, family income, and leisure-time physical activity and positively associated with number of live births, history of night shift work, and certain chronic diseases, compared to sleep duration around 7 h/day (6.5-7.4h/day). Short sleep duration was related to tea consumption and passive smoking. Long sleep duration was related to menopausal status and marital status. CONCLUSIONS: In this large, population-based study, we found that sleep duration among middle-aged and elderly Chinese women was associated with several sociodemographic and lifestyle factors and with disease status. The main limitation of the study is the cross-sectional design that does not allow us to draw any causal inference. However, this study provides information for future investigation into the nature of these associations so that recommendations can be developed to reduce sleep problems in middle-aged and elderly Chinese women. It also provides important information on potential confounders for investigation of sleep duration on health outcomes in this population.
BACKGROUND: Abnormal sleep duration, either long or short, is associated with disease risk and mortality. Little information is available on sleep duration and its correlates among Chinese women. METHODS: Using information collected from 68,832 women who participated in the Shanghai Women's Health Study (SWHS), we evaluated sleep duration and its correlations with sociodemographic and lifestyle factors, health status, and anthropometric measurements and their indexes using polynomial logistic regression. RESULTS: The mean age of the study population was 59.6 years (SD=9.0; range: 44.6-79.9 years) at time of sleep duration assessment. Approximately 80% of women reported sleeping 6-8 h/day, 11.5% slept 5h or less, and 8.7% slept 9h or more. As expected, age was the strongest predictor for sleep duration and was negatively correlated with sleep duration. In general, sleep duration was positively associated with energy intake, intakes of total meat and fruits, body mass index (BMI), waist-hip ratio (WHR), and waist circumference (WC) after adjustment for age and other factors. Both short and long sleep duration were negatively associated with education level, family income, and leisure-time physical activity and positively associated with number of live births, history of night shift work, and certain chronic diseases, compared to sleep duration around 7 h/day (6.5-7.4h/day). Short sleep duration was related to tea consumption and passive smoking. Long sleep duration was related to menopausal status and marital status. CONCLUSIONS: In this large, population-based study, we found that sleep duration among middle-aged and elderly Chinese women was associated with several sociodemographic and lifestyle factors and with disease status. The main limitation of the study is the cross-sectional design that does not allow us to draw any causal inference. However, this study provides information for future investigation into the nature of these associations so that recommendations can be developed to reduce sleep problems in middle-aged and elderly Chinese women. It also provides important information on potential confounders for investigation of sleep duration on health outcomes in this population.
Authors: Montserrat Sanchez-Ortuno; Nicholas Moore; Jacques Taillard; Cédric Valtat; Damien Leger; Bernard Bioulac; Pierre Philip Journal: Sleep Med Date: 2005-01-24 Impact factor: 3.492
Authors: Henri Tuomilehto; Markku Peltonen; Markku Partinen; Juha Seppä; Timo Saaristo; Eeva Korpi-Hyövälti; Heikki Oksa; Hannu Puolijoki; Juha Saltevo; Mauno Vanhala; Jaakko Tuomilehto Journal: Sleep Med Date: 2007-07-20 Impact factor: 3.492
Authors: Sanjay R Patel; Najib T Ayas; Mark R Malhotra; David P White; Eva S Schernhammer; Frank E Speizer; Meir J Stampfer; Frank B Hu Journal: Sleep Date: 2004-05-01 Impact factor: 5.849
Authors: Fahed Hakim; Yang Wang; Shelley X L Zhang; Jiamao Zheng; Esma S Yolcu; Alba Carreras; Abdelnaby Khalyfa; Haval Shirwan; Isaac Almendros; David Gozal Journal: Cancer Res Date: 2014-01-21 Impact factor: 12.701
Authors: Yeonju Kim; Lynne R Wilkens; Susan M Schembre; Brian E Henderson; Laurence N Kolonel; Marc T Goodman Journal: Prev Med Date: 2013-06-27 Impact factor: 4.018
Authors: Hassan S Dashti; Frank Ajl Scheer; Paul F Jacques; Stefania Lamon-Fava; José M Ordovás Journal: Adv Nutr Date: 2015-11-13 Impact factor: 8.701