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Relationship Between Sleep Duration and Stroke History in Middle-Aged and Elderly in Guiyang: A Cross-Sectional Survey.
- Source :
-
Neuropsychiatric Disease & Treatment . Feb2022, Vol. 18, p243-252. 10p. - Publication Year :
- 2022
-
Abstract
- Background: With over 2 million new cases annually, stroke is associated with the higher amount of disability-adjusted life-years lost than any other disease in China; however, the relationship between sleep time and stroke has not been concluded yet. Aim of this study was to analyze the relationship between sleep duration and stroke history in middle-aged and elderly people in Guiyang, China. Methods: This study was a cross-sectional survey carried out in 40– 99-years-old permanent residents of Guiyang. Yunyan, Wudang, and Baiyun districts and Xiuwen County were selected by stratified multilevel sampling for a face-to-face survey. Demographics, history of stroke, and self-reported sleep behavior data were collected, and multivariable logistic regression models were used to gradually adjust possible confounding factors. Results: A total of 5065 participants were included, of them 126 (2.5%) had a history of stroke. Short sleep (< 7 h) was observed in 11.0%, sufficient sleep (7– 9 h) in 69.4%, and long sleep (> 9 h) in 19.6%. Sleep duration and stroke prevalence showed a U-shaped distribution. When taking the sleep duration of 7– 9 h as a reference, sleep duration > 9 h was associated with stroke (all P < 0.05) in the univariable model (OR = 2.68, 95% CI: 1.83– 3.93) and in the multivariable models 1 (OR = 2.35, 95% CI: 1.59– 3.47), 2 (OR = 2.27, 95% CI: 1.53– 3.37), 3 (OR = 2.25, 95% CI: 1.51– 3.33), and 4 (OR = 2.11, 95% CI: 1.39– 3.19). There were no significant differences between the < 7 and 7– 9 h groups (P > 0.05). Conclusion: Thus, long sleep duration (> 9 h) is independently associated with history of stroke in middle-aged and elderly people in Guiyang. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 11782021
- Volume :
- 18
- Database :
- Academic Search Index
- Journal :
- Neuropsychiatric Disease & Treatment
- Publication Type :
- Academic Journal
- Accession number :
- 155728138
- Full Text :
- https://doi.org/10.2147/NDT.S340834