Relationship Between Sleep Duration and Stroke History in Middle-Aged and Elderly in Guiyang: A Cross-Sectional Survey

Neuropsychiatr Dis Treat. 2022 Feb 11:18:243-252. doi: 10.2147/NDT.S340834. eCollection 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.

Keywords: China; elderly; middle-aged; prevalence; sleep duration; stroke.

Grants and funding

This work was supported by the Project on Investigation of Disease Spectrum of Residents in Guiyang City (BCXZFCG2016-023A). This work was supported by the National Key R&D Program “Precision Medicine Initiative” of China (Grant no: 2017YFC0907301).