The codevelopmental trajectory of nighttime sleep duration and depression in middle-aged and older people in China: The predictive role of green space

IF 3.4 2区医学 Q2 CLINICAL NEUROLOGY

Sleep Health Pub Date : 2025-07-16 DOI:10.1016/j.sleh.2025.06.003

Jialin Yu BSc , Qing Yang PhD

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引用次数: 0

Abstract

Purpose

The purpose of this study is to document the codevelopmental trajectories of nighttime sleep duration and depression in Chinese middle-aged and older people and investigate the predictive role of green space in these trajectories.

Methods

In a protective cohort study of 7422 middle-aged and elderly Chinese adults with surveys in 2011, 2013, 2015, 2018, and 2020, codevelopmental trajectories class(es) of nighttime sleep duration and depression were identified using parallel process latent class growth models. The relationships between the growth factors of two variables within each class were estimated using parallel process latent growth curve model. Multinomial logistic regression assessed the association of greenspace, measured using the Normalized Difference Vegetation Index, with codevelopmental trajectory class membership.

Results

Three codevelopmental trajectories classes were detected: parallel low sleep and high depression (10.9%); divergent decreasing sleep and increasing depression (12.4%); and parallel stable sleep and low depression (76.7%). Parallel process latent growth curve model revealed that the association between nighttime sleep duration and depression (i.e., intercepts and slopes) varies among different trajectories. Multinomial logistic regression analyses revealed that exposure to higher levels of green space would be associated with the trajectory class exhibiting parallel stable sleep and low depression.

Conclusion

The codevelopment trajectories of sleep duration and depression exhibit distinct subgroups and the interrelationships vary across different subgroups. This information can inform prevention and intervention strategies, as each trajectory may represent heterogeneity among middle-aged and older adults. Higher green space was associated with lower likelihood of adverse codevelopmental trajectories of sleep and depression.

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中国中老年人群夜间睡眠时间与抑郁的共同发展轨迹：绿地的预测作用

目的：研究中国中老年人群夜间睡眠时间与抑郁的共同发展轨迹，并探讨绿地在这些轨迹中的预测作用。方法：在2011年、2013年、2015年、2018年和2020年对7422名中国中老年成年人进行调查的保护性队列研究中，使用平行过程潜在类别增长模型确定夜间睡眠时间和抑郁的共同发展轨迹类别。利用平行过程潜在生长曲线模型估计每一类中两个变量的生长因子之间的关系。利用归一化植被指数（Normalized Difference Vegetation Index），多项逻辑回归评估了绿地与共同发展轨迹类隶属度之间的关系。结果：共发育轨迹分为三类：平行低睡眠和高抑郁（10.9%）；发散性睡眠减少，抑郁加重（12.4%）；平行稳定睡眠和低抑郁（76.7%）。平行过程潜在增长曲线模型揭示了夜间睡眠时间与抑郁之间的关系（即截距和斜率）在不同的轨迹之间存在差异。多项逻辑回归分析显示，暴露于较高水平的绿色空间与表现出平行稳定睡眠和低抑郁的轨迹类别相关。结论：睡眠时间与抑郁的共同发展轨迹存在不同的亚群，不同亚群之间的相互关系也存在差异。这些信息可以为预防和干预策略提供信息，因为每种轨迹可能代表中老年成年人的异质性。较高的绿地面积与睡眠和抑郁不良共同发展轨迹的可能性较低有关。

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来源期刊

Sleep Health CLINICAL NEUROLOGY-

CiteScore

6.30

自引率

9.80%

发文量

114

审稿时长

54 days

期刊介绍： Sleep Health Journal of the National Sleep Foundation is a multidisciplinary journal that explores sleep''s role in population health and elucidates the social science perspective on sleep and health. Aligned with the National Sleep Foundation''s global authoritative, evidence-based voice for sleep health, the journal serves as the foremost publication for manuscripts that advance the sleep health of all members of society.The scope of the journal extends across diverse sleep-related fields, including anthropology, education, health services research, human development, international health, law, mental health, nursing, nutrition, psychology, public health, public policy, fatigue management, transportation, social work, and sociology. The journal welcomes original research articles, review articles, brief reports, special articles, letters to the editor, editorials, and commentaries.