Yong Zhang1, Yurun Du1, Shulan He1, Xian Sun1, Jiafei Yang1, Jiangping Li1,2. 1. Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, 750004, People's Republic of China. 2. Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region, 750004, People's Republic of China.
Abstract
PURPOSE: Sleep disturbance is a paramount public health concern that besets many modern middle-aged and elderly community residents. Reading is important to adults as it facilitates the completion of daily tasks, and might be associated with sleep issues. The present study aimed to analyze the association between reading and sleep using Chinese national survey data. PATIENTS AND METHODS: The 2018 China Family Panel Studies survey data were used, and the target sample was extracted according to age (>40 years). Reading behavior and reading quantity were chosen as independent variables, and sleep duration, sleep-onset time, and sleep quality were selected as dependent variables. A multilevel mixed linear/ordinal logistic regression model was employed to evaluate the association, and restricted cubic splines with 4 knots were employed to flexibly model the association of reading quantity and sleep duration. RESULTS: A total of 18,740 adults were selected, and the reading rate was 15.04%. Reading habit was significantly negatively associated with weekday sleep duration, but not with duration at weekends, as determined from the full set of confounders adjusted models. Reading behavior was also associated with delayed sleep-onset time (OR: 0.935, 95% CI: 0.908-0.964), but not with sleep quality. Reading quantity showed a nonlinear relationship with sleep duration, appropriate reading quantity was related with long sleep duration. CONCLUSION: Reading was associated with short sleep duration on weekdays, but not with sleep quality. Furthermore, reading was related to late sleep-onset time, and for the middle-aged and elderly Chinese populations, appropriate reading quantity was related with long sleep duration.
PURPOSE: Sleep disturbance is a paramount public health concern that besets many modern middle-aged and elderly community residents. Reading is important to adults as it facilitates the completion of daily tasks, and might be associated with sleep issues. The present study aimed to analyze the association between reading and sleep using Chinese national survey data. PATIENTS AND METHODS: The 2018 China Family Panel Studies survey data were used, and the target sample was extracted according to age (>40 years). Reading behavior and reading quantity were chosen as independent variables, and sleep duration, sleep-onset time, and sleep quality were selected as dependent variables. A multilevel mixed linear/ordinal logistic regression model was employed to evaluate the association, and restricted cubic splines with 4 knots were employed to flexibly model the association of reading quantity and sleep duration. RESULTS: A total of 18,740 adults were selected, and the reading rate was 15.04%. Reading habit was significantly negatively associated with weekday sleep duration, but not with duration at weekends, as determined from the full set of confounders adjusted models. Reading behavior was also associated with delayed sleep-onset time (OR: 0.935, 95% CI: 0.908-0.964), but not with sleep quality. Reading quantity showed a nonlinear relationship with sleep duration, appropriate reading quantity was related with long sleep duration. CONCLUSION: Reading was associated with short sleep duration on weekdays, but not with sleep quality. Furthermore, reading was related to late sleep-onset time, and for the middle-aged and elderly Chinese populations, appropriate reading quantity was related with long sleep duration.
Authors: Nato Darchia; Nikoloz Oniani; Irine Sakhelashvili; Mariam Supatashvili; Tamar Basishvili; Marine Eliozishvili; Lia Maisuradze; Katerina Cervena Journal: Int J Environ Res Public Health Date: 2018-07-26 Impact factor: 3.390