Bingbing Li1,2, Nan Liu1, Donghui Guo3, Bo Li1, Yan Liang4, Lingling Huang5, Xiaoxiao Wang2, Zhenzhen Su1, Guozeng Zhang6, Peixi Wang7,8. 1. Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, 475004, China. 2. Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei Province, China. 3. The People's Hospital of Longhua.Shenzhen, Shenzhen, 518109, China. 4. The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, China. 5. Institute of Nursing and Health, Shanghai Lida University, Shanghai, 201609, China. 6. Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, 475004, China. zhanggz@henu.edu.cn. 7. Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Henan University, Kaifeng, 475004, China. peixi001@163.com. 8. General Practice Center, The Seventh Affiliated Hospital, Southern Medical University, Foshan, PR China. peixi001@163.com.
Abstract
BACKGROUND: The connections between sleep quality and central obesity among reproductive-aged women are not clear. The study aimed to explore the association between sleep quality and central obesity among Chinese reproductive-aged women and identify the independent contributions of sociodemographic characteristics, health-related factors, and sleep quality to central obesity. METHODS: In this cross-sectional survey, the minimal sample sizes were 2404 subjects; 2449 Chinese women aged 18-49 participated in this study. Sleep quality was assessed by the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Central obesity as the outcome of interest was a binary variable; women were categorized as with versus without central obesity measured by waist circumference (WC). The independent contribution of sociodemographic characteristics (Cluster 1), health-related variables (Cluster 2), and sleep quality (Cluster 3) to central obesity was derived from the corresponding R2 change (individual R2 change/total R2 × 100%), using clustered multiple logistic regression analyses. RESULTS: The risk of central obesity increased significantly with poor sleep quality (assessed by global PSQI score) [adjusted odds ratio (OR) = 2.20 per SD increase; 95% confidence interval (CI) = 1.28-3.78; P = 0.004], increased sleep disturbance score (adjusted OR = 1.11 per SD increase; 95% CI = 1.01-1.22; P = 0.042) and decreased subjective sleep quality score (adjusted OR = 0.81 per SD increase; 95% CI = 0.73-0.90; P < 0.001). The independent contribution of sleep quality was 9.9%, less than those of sociodemographic (73.3%) and health-related (16.8%) variables. Among complaints related to sleep disturbance, the inability to breathe comfortably, and having bad dreams showed significant associations with central obesity. CONCLUSIONS: There exists some degree of correlation between sleep quality and central obesity among Chinese reproductive-aged women. These findings underscore the need for future public health guidelines to formulate some detailed strategies to improve sleep quality, such as preventing and intervening risk factors that influence sleep quality and suggesting optimal sleep duration, which might effectively reduce the incidence of central obesity in this population group.
BACKGROUND: The connections between sleep quality and central obesity among reproductive-aged women are not clear. The study aimed to explore the association between sleep quality and central obesity among Chinese reproductive-aged women and identify the independent contributions of sociodemographic characteristics, health-related factors, and sleep quality to central obesity. METHODS: In this cross-sectional survey, the minimal sample sizes were 2404 subjects; 2449 Chinese women aged 18-49 participated in this study. Sleep quality was assessed by the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). Central obesity as the outcome of interest was a binary variable; women were categorized as with versus without central obesity measured by waist circumference (WC). The independent contribution of sociodemographic characteristics (Cluster 1), health-related variables (Cluster 2), and sleep quality (Cluster 3) to central obesity was derived from the corresponding R2 change (individual R2 change/total R2 × 100%), using clustered multiple logistic regression analyses. RESULTS: The risk of central obesity increased significantly with poor sleep quality (assessed by global PSQI score) [adjusted odds ratio (OR) = 2.20 per SD increase; 95% confidence interval (CI) = 1.28-3.78; P = 0.004], increased sleep disturbance score (adjusted OR = 1.11 per SD increase; 95% CI = 1.01-1.22; P = 0.042) and decreased subjective sleep quality score (adjusted OR = 0.81 per SD increase; 95% CI = 0.73-0.90; P < 0.001). The independent contribution of sleep quality was 9.9%, less than those of sociodemographic (73.3%) and health-related (16.8%) variables. Among complaints related to sleep disturbance, the inability to breathe comfortably, and having bad dreams showed significant associations with central obesity. CONCLUSIONS: There exists some degree of correlation between sleep quality and central obesity among Chinese reproductive-aged women. These findings underscore the need for future public health guidelines to formulate some detailed strategies to improve sleep quality, such as preventing and intervening risk factors that influence sleep quality and suggesting optimal sleep duration, which might effectively reduce the incidence of central obesity in this population group.
Authors: Slobodanka Pejovic; Alexandros N Vgontzas; Maria Basta; Marina Tsaoussoglou; Emmanuel Zoumakis; Angeliki Vgontzas; Edward O Bixler; George P Chrousos Journal: J Sleep Res Date: 2010-12 Impact factor: 3.981
Authors: Sheng Wang; Xianghong Zhou; Shi Qiu; Boyu Cai; Yifan Li; Chichen Zhang; Kunjie Wang; Lu Yang; Lei Chen Journal: BMC Public Health Date: 2022-09-20 Impact factor: 4.135