Zhao Qing, Zhu Yuan, Zhang Yu, Luo Huanyuan, Ma Yantao, Chen Xiaoshan, Gu Jiaming, Wang Lizhi
School of Health Management, Southern Medical University, Guangzhou, China.
School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.
Front Cardiovasc Med. 2024 Dec 9;11:1474426. doi: 10.3389/fcvm.2024.1474426. eCollection 2024.
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.
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.
Over the 8-year follow-up, 2,359 CVD events were recorded. Compared to individuals sleeping 6-8 h per day, a short sleep duration (≤6 h/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 h/day) (HR: 1.17, 95% CI: 1.02-1.35) and long sleep duration (>8 h/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 h/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.
本研究探讨中国中老年人群睡眠时间与心血管疾病(CVD)之间的相关性。此外,我们旨在调查该人群中睡眠时间与新发CVD之间的关联,同时评估不同年龄和性别亚组之间的潜在差异。
利用2011年、2013年、2015年和2018年进行的中国健康与养老追踪调查(CHARLS)全国前瞻性调查的数据,该调查涉及17596名45岁及以上的参与者,我们采用了Cox比例风险回归模型。这些模型用于检验基线睡眠时间对CVD的影响,同时考虑年龄(中年/老年)和性别(男性/女性)组。
在8年的随访中,记录了2359例CVD事件。与每天睡眠6 - 8小时的个体相比,睡眠时间短(≤6小时/天)与CVD风险增加显著相关(HR:1.17,95%CI:1.03 - 1.33)。亚组分析显示,在年龄≥60岁的参与者中,睡眠时间短(≤6小时/天)(HR:1.17,95%CI:1.02 - 1.35)和睡眠时间长(>8小时/天)(HR:1.20,95%CI:1.02 - 1.41)均与CVD风险升高显著相关。具体而言,在女性参与者中,睡眠时间短(≤6小时/天)与CVD显著相关(HR:1.24,95%CI:1.05 - 1.47)。
睡眠时间短可作为中国45岁及以上人群CVD的预测因素, 尤其是老年女性参与者。我们的研究强调了在制定加强CVD预防策略时,将睡眠健康视为关键因素的重要性。