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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.
Sec. Cardiovascular Epidemiology and Prevention
Volume 11 - 2024 | doi: 10.3389/fcvm.2024.1474426

Associations Between Self-reported Sleep Duration and Incident Cardiovascular diseases in a Nationwide Prospective Cohort Study of Chinese Middle-Aged and Older Adults

Provisionally accepted
Qing C. Zhao Qing C. Zhao 1Yuan Zhu Yuan Zhu 2*Yu Zhang Yu Zhang 3*Huanyuan Luo Huanyuan Luo 4*Yantao Ma Yantao Ma 5Xiaoshan Chen Xiaoshan Chen 5*Jiaming Gu Jiaming Gu 6*Lizhi Wang Lizhi Wang 5*
  • 1 Southern Medical University, Guangzhou, China
  • 2 School of Nursing, Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, China
  • 3 Changzhou Vocational Institute of Textile and Garment, Changzhou, China
  • 4 Southern Medical University Institute for Global Health (SIGHT), Dermatology Hospital of Southern Medical University (SMU), Guangzhou, China, Guangzhou, China
  • 5 School of Health Management, Southern Medical University, Guangzhou, Guangdong, China
  • 6 Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong Province, China

The final, formatted version of the article will be published soon.

    This study explores the correlation between sleep duration and cardiovascular disease (CVD) among middle-aged and older adults in China. Furthermore, we aim to investigate the association between sleep duration and incident CVD in this population, while assessing potential variations across different age and gender subgroups. Methods: Utilizing data from the nationwide prospective survey of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, and 2018, involving 17,596 participants aged 45 years and above, we employed Cox proportional hazards regression models. These models were used to examine the impact of baseline sleep duration on CVD, considering age (middle-aged/elderly) and gender (male/female) groups.Results: Over the 8-year follow-up, 2,359 CVD events were recorded. Compared to individuals sleeping 6-8 hours per day, a short sleep duration (≤6 hours/day) was significantly associated with an increased risk of CVD (HR: 1.17, 95% CI: 1.03-1.33).Subgroup analysis revealed a more pronounced relationship in participants aged ≥60 years, where both short sleep duration (≤6 hours/day) (HR: 1.17, 95% CI: 1.02-1.35) and long sleep duration (>8 hours/day) (HR: 1.20, 95% CI: 1.02-1.41) were significantly associated with an elevated risk of CVD. Specifically, among female participants, short sleep durations (≤6 hours/day) was significantly associated with CVD (HR: 1.24, 95% CI: 1.05-1.47).Short sleep durations can serve as predictive factors for CVD in China's population aged 45 and above, particularly among elderly female participants. Our study underscores the importance of considering sleep health as a critical aspect when formulating strategies for enhancing CVD prevention.

    Keywords: sleep duration, cardiovascular disease, age, gender, CHARLS

    Received: 07 Aug 2024; Accepted: 04 Nov 2024.

    Copyright: © 2024 Zhao, Zhu, Zhang, Luo, Ma, Chen, Gu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yuan Zhu, School of Nursing, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu Province, China
    Yu Zhang, Changzhou Vocational Institute of Textile and Garment, Changzhou, 213164, China
    Huanyuan Luo, Southern Medical University Institute for Global Health (SIGHT), Dermatology Hospital of Southern Medical University (SMU), Guangzhou, China, Guangzhou, China
    Xiaoshan Chen, School of Health Management, Southern Medical University, Guangzhou, 510515, Guangdong, China
    Jiaming Gu, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, Guangdong Province, China
    Lizhi Wang, School of Health Management, Southern Medical University, Guangzhou, 510515, Guangdong, China

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