Relationship between sleep duration and sociodemographic characteristics, mental health and chronic diseases in individu
- PDF / 635,511 Bytes
- 10 Pages / 595.276 x 790.866 pts Page_size
- 56 Downloads / 270 Views
RESEARCH ARTICLE
Open Access
Relationship between sleep duration and sociodemographic characteristics, mental health and chronic diseases in individuals aged from 18 to 85 years old in Guangdong province in China: a population-based cross-sectional study Xie Chen1,2†, Shi-Bin Wang1†, Xue-Li Li1, Zhuo-Hui Huang1, Wen-Yan Tan1, Hai-Cheng Lin1, Cai-Lan Hou1,3* and Fu-Jun Jia1,3*
Abstract Background: Sleep is vital for maintaining individual’s physical and mental health. Prior studies have reported close relationships between sleep duration and chronic diseases. However, in China, the prevalence of aberrant sleep duration and the associations between sleep duration and chronic conditions still merit studying in Guangdong province. This study aimed at examining the relationship between sleep duration and multiple dimensions of sociodemographic characteristics, mental health and chronic diseases in Guangdong province in China, with a large population-based data of individuals aged from 18 to 85 years old. Methods: This study aimed at analyzing the sociodemographic and clinical characteristics of the population in Guangdong province. Multistage stratified cluster sampling was applied for this study. 13,768 participants from Guangdong province were interviewed with standardized assessment tools, including Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder (GAD-7). Basic socio-demographic information, mental health and chronic diseases information were collected. Selfreported sleep duration was classified as three types: short (< 7 h), normative (7-9 h) and long (≥9 h). Results: The mean sleep duration was 6.75 ± 1.11 h. Short sleepers had a higher prevalence of chronic diseases, including anemia (6.2%, p = 0.024), gout (2.8%, p = 0.010), hyperlipidemia (3.9%, p = 0.003) and low back pain (5.6%, p = 0.020) than other types of sleeper. Multinomial logistic regression analysis revealed that short sleepers were more likely to have low income level, have depressive symptoms, be ex- or current drinkers and be overweight. Anemia, hyperlipidemia and low back pain were all risk factors for short sleep, while malignant tumor was risky for long sleep. (Continued on next page)
* Correspondence: [email protected]; [email protected] † Xie Chen was the first author, and Shi-Bin Wang was the co-first author. 1 Guangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, No.123, Huifu Xi Road, Guangzhou City 510000, Guangdong Province, China Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the a
Data Loading...
