Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
School of Social Sciences, Tsinghua University, Beijing, 100084, China.
Sci Rep. 2024 Mar 15;14(1):6247. doi: 10.1038/s41598-024-56316-7.
Sleep is a modifiable behavior that can be targeted in interventions aimed at promoting healthy aging. This study aims to (i) identify the sleep duration trend in US adults; (ii) investigate the relationship between sleep duration and phenotypic age; and (iii) explore the role of exercise in this relationship. Phenotypic age as a novel index was calculated according to biomarkers collected from US adults based on the National Health and Nutrition Examination Survey (NHANES). Sleep information was self-reported by participants and discerned through individual interviews. The principal analytical method employed was weighted multivariable linear regression modeling, which accommodated for the complex multi-stage sampling design. The potential non-linear relationship was explored using a restricted cubic spline (RCS) model. Furthermore, subgroup analyses evaluated the potential effects of sociodemographic and lifestyle factors on the primary study outcomes. A total of 13,569 participants were finally included in, thereby resulting in a weighted population of 78,880,615. An examination of the temporal trends in sleep duration revealed a declining proportion of individuals with insufficient and markedly deficient sleep time since the 2015-2016 cycle. Taken normal sleep group as a reference, participants with extreme short sleep [β (95% CI) 0.582 (0.018, 1.146), p = 0.044] and long sleep [β (95% CI) 0.694 (0.186, 1.203), p = 0.010] were both positively associated with phenotypic age using the fully adjusted model. According to the dose-response relationship between sleep duration and phenotypic age, long sleep duration can benefit from regular exercise activity, whereas short sleep duration with more exercise tended to have higher phenotypic age. There is an inverted U-shaped relationship between short and long sleep durations and phenotypic age. This study represents an important step forward in our understanding of the complex relationship between sleep and healthy aging. By shedding light on this topic and providing practical exercise recommendations for promoting healthy sleep habits, researchers can help individuals live longer, healthier, and more fulfilling lives.
睡眠是一种可调节的行为,可以作为干预措施的目标,以促进健康老龄化。本研究旨在:(i) 确定美国成年人的睡眠时间趋势;(ii) 研究睡眠时间与表型年龄之间的关系;(iii) 探索运动在这种关系中的作用。表型年龄作为一种新的指标,是根据美国成年人基于国家健康和营养检查调查 (NHANES) 收集的生物标志物计算得出的。睡眠信息由参与者自我报告,并通过个人访谈进行甄别。主要分析方法是加权多变量线性回归建模,该模型适应了复杂的多阶段抽样设计。使用限制立方样条 (RCS) 模型探索了潜在的非线性关系。此外,亚组分析评估了社会人口统计学和生活方式因素对主要研究结果的潜在影响。最终共纳入 13569 名参与者,加权人口为 78880615 人。对睡眠时间的时间趋势进行检查后发现,自 2015-2016 周期以来,睡眠不足和明显不足的个体比例呈下降趋势。以正常睡眠组为参照,与极端短睡眠组[β(95%CI)0.582(0.018, 1.146), p=0.044]和长睡眠组[β(95%CI)0.694(0.186, 1.203), p=0.010]相比,使用完全调整后的模型,表型年龄都与睡眠时间呈正相关。根据睡眠时间与表型年龄之间的剂量反应关系,长睡眠时间可以从有规律的运动中获益,而短睡眠时间和更多的运动则倾向于具有更高的表型年龄。短睡眠时间和长睡眠时间与表型年龄之间存在倒 U 型关系。本研究是我们对睡眠与健康老龄化之间复杂关系理解的重要一步。通过揭示这一主题,并为促进健康睡眠习惯提供实际的运动建议,研究人员可以帮助个人过上更长、更健康、更充实的生活。