Department of Epidemiology and Health Statistics, School of Public Health, Wenzhou Medical University, Wenzhou, 325035, Zhejiang Province, China.
School of Mental Health, Wenzhou Medical University, Wenzhou, 325035, Zhejiang Province, China.
BMC Public Health. 2024 Nov 1;24(1):3029. doi: 10.1186/s12889-024-20524-7.
Insufficient or excessive sleep duration are associated with increased risk of individual adverse outcomes. However, it remains largely unknown whether sleep duration trajectories are associated with overall health among older adults. This study aimed to examine the association between sleep duration trajectories and successful aging.
In the China Health and Retirement Longitudinal Study (CHARLS), 3,306 participants without major chronic diseases at baseline and survived to aged 60 years and older at the end of follow-up were potentially eligible participants. Total sleep duration was assessed in 2011, 2013, and 2015, and successful aging was evaluated in 2020 and was defined as being free of major chronic diseases, no physical impairment, high cognitive function, good mental health, and active engagement with life. Latent class mixed model (LCMM) was used to identify sleep duration trajectories and logistic regression was performed to explore the association between these trajectories and successful aging.
During the 9-year follow-up, 455 individuals (13.8%) met the criteria for successful aging. Five sleep duration trajectories were identified: normal stable, long stable, decreasing, increasing, and short stable. Compared with the normal stable trajectory, the adjusted ORs (95% CI) for achieving successful aging for participants with long stable, decreasing, increasing, and short stable trajectories were 1.00 (0.77, 1.30), 0.64 (0.40, 1.03), 0.64 (0.45, 0.92), and 0.48 (0.35, 0.66), respectively. The stratified and sensitivity analyses were generally consistent with the main results.
Increasing and short stable trajectories of sleep duration are associated with lower odds of successful aging relative to participants in the normal stable trajectory. The findings underscore the critical importance of monitoring dynamic changes in sleep duration in middle-aged and older Chinese adults.
睡眠时长不足或过长与个体不良结局风险增加相关。然而,睡眠时长轨迹与老年人整体健康之间的关系在很大程度上仍不清楚。本研究旨在探讨睡眠时长轨迹与成功老龄化之间的关系。
在中国健康与养老追踪调查(CHARLS)中,共有 3306 名基线时无重大慢性疾病且在随访结束时年龄达到 60 岁及以上的参与者符合潜在入选标准。总睡眠时间在 2011 年、2013 年和 2015 年进行评估,成功老龄化在 2020 年进行评估,定义为无重大慢性疾病、无身体损伤、认知功能良好、心理健康状况良好、积极参与生活。采用潜在类别混合模型(LCMM)识别睡眠时长轨迹,并进行逻辑回归以探讨这些轨迹与成功老龄化之间的关系。
在 9 年的随访期间,有 455 名(13.8%)参与者符合成功老龄化标准。共识别出 5 种睡眠时长轨迹:正常稳定型、较长稳定型、逐渐减少型、逐渐增加型和较短稳定型。与正常稳定轨迹相比,较长稳定、逐渐减少、逐渐增加和较短稳定轨迹的参与者达到成功老龄化的调整后 OR(95%CI)分别为 1.00(0.77,1.30)、0.64(0.40,1.03)、0.64(0.45,0.92)和 0.48(0.35,0.66)。分层和敏感性分析结果与主要结果基本一致。
与正常稳定轨迹的参与者相比,睡眠时长逐渐增加和较短稳定的轨迹与成功老龄化的可能性较低相关。这些发现强调了监测中国中老年人群睡眠时长动态变化的重要性。