• Xiaolian Dong, Yuzhuo Wang, Yue Chen, Xuecai Wang, Jianfu Zhu, Na Wang, Qingwu Jiang, and Chaowei Fu.
• Deqing County Center of Disease Prevention and Control, Deqing, Zhejiang Province, China.
• Sleep Breath. 2018 Dec 1; 22 (4): 1213-1220.

BackgroundPoor sleep quality is prevalent and is associated with cognitive decline, impaired health, and reduced quality of life. There is a lack of studies about sleep quality and its potential risk factors among rural adults aged 45 years or above under rapid urbanization in China.MethodsIn a cross-sectional survey conducted in Deqing County, China in 2015, we included 1584 adults 45+ years of age. Sleep quality was measured by using the Chinese version of the Pittsburgh Sleep Quality Index (CPSQI). Poor sleep quality was defined by a CPSQI global score > 5. Other data collected included sociodemographic and lifestyle factors as well as physical health. Logistic regression model was applied to assess factors influencing sleep quality by calculating crude odds ratio (cOR), adjusted OR (aOR), and their 95% confident intervals (CI).ResultsOf 1584 subjects, more than half were female with an average age of 58.9 ± 8.1 years. Their night sleep duration was 7.7 ± 1.2 h, sleep latency was 31.9 ± 32.0 min, and 17% of them could not fall asleep within half hour, averagely. The mean score of CPSQI was 4.4 ± 2.7. The prevalence of poor sleep quality was 27.7% (95% CI = 25.4-29.7%) overall, and there existed a significant sex difference-30.6% (95% CI = 27.7-33.7%) for women and 24.0% (95% CI = 20.9-27.2%) for men. Five domains of the CPSQI except for sleep efficiency and use of sleeping medication also showed a sex difference (p < 0.05). Logistic regression analysis indicated that unmarried status (aOR = 1.51, 95% CI = 1.03-2.22), lower monthly individual income (aOR = 2.09, 95% CI = 1.49-2.94), and chronic diseases (aOR = 1.95, 95% CI = 1.51-2.51) were significantly related to poor sleep quality.ConclusionsSleep problems were prevalent among the rural Chinese adults aged 45+ years. People who were unmarried or had low personal income or any chronic diseases were more likely to have poor sleep quality.

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