Shen Jiajun, Zhang Yalin, Yuan Yang, Zhang Yunquan, Hu Chengyang
Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan, 430065, China.
Shenzhen Bao'an District Songgang People's Hospital, Shenzhen, 518100, China.
Environ Pollut. 2025 Nov 1;384:126913. doi: 10.1016/j.envpol.2025.126913. Epub 2025 Jul 29.
Despite growing population and animal evidence linking mental health to environmental stressors, the potentially differential relationships of daytime and nighttime heat exposure with depression have been underexplored in both developed and undeveloped settings. This study aimed to investigate the long-term associations of daytime, nighttime, and day-night compound heatwaves with depressive symptoms in a Chinese nationwide cohort of middle-aged and older population. We analyzed 35211 repeated-measurement observations from 12403 participants (≥45 years) across 125 cities using four waves (2011-2018) of China Health and Retirement Longitudinal Study data. Daytime, nighttime, and compound heatwaves were defined based on multiple temperature thresholds (P90, P92.5, P95) and durations (2-4 consecutive days) for each city. Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale. Logistic mixed-effects models were employed to quantify heatwave-depression associations and to curve exposure-response functions using restricted cubic spline smoothing. We did several subgroup analyses to testify potential effect modifications by demographic and environmental factors. In both unadjusted and adjusted models, we observed parallel evidence for stronger associations of depressive symptoms with nighttime and compound heatwaves than daytime heatwaves under multiple definitions. Exposure-response analyses demonstrated approximately linear threshold-free associations for daytime heatwaves but J-shaped patterns for nighttime and compound heatwaves. In subgroup analyses, we observed significantly greater vulnerability to heatwave-associated depression among younger (under 65), high-educated, and urban populations, as well as those residing in high air pollution and low-temperature communities, suggesting potential air pollution-climate interactions in elevating heat-related depression risks. Our study provided novel evidence for greater associations of depressive symptoms with nighttime and compound heatwaves than daytime heatwaves. These findings highlighted the public health urgency to mitigate mental health risks posed by nocturnal and diurnal heat events in the context of global climate warming.
尽管人口不断增长,且有动物研究证据表明心理健康与环境压力源有关,但在发达国家和不发达国家,白天和夜间热暴露与抑郁症之间潜在的差异关系都尚未得到充分研究。本研究旨在调查中国全国中老年人群队列中,白天、夜间以及昼夜复合型热浪与抑郁症状之间的长期关联。我们使用中国健康与养老追踪调查(2011 - 2018年)四轮的数据,分析了来自125个城市的12403名参与者(≥45岁)的35211次重复测量观测值。根据每个城市的多个温度阈值(P90、P92.5、P95)和持续时间(连续2 - 4天)来定义白天、夜间和复合型热浪。使用10项流行病学研究中心抑郁量表评估抑郁症状。采用逻辑混合效应模型来量化热浪与抑郁之间的关联,并使用受限立方样条平滑法绘制暴露 - 反应函数。我们进行了多项亚组分析,以验证人口统计学和环境因素对潜在效应的修正作用。在未调整和调整后的模型中,我们都观察到了平行的证据,即在多种定义下,抑郁症状与夜间和复合型热浪的关联比与白天热浪的关联更强。暴露 - 反应分析表明,白天热浪的关联大致呈无阈值的线性关系,而夜间和复合型热浪则呈J形模式。在亚组分析中,我们观察到年龄较轻(65岁以下)、高学历、城市人群以及居住在高空气污染和低温社区的人群,对热浪相关抑郁症的易感性显著更高,这表明在增加与热相关的抑郁风险方面,空气污染与气候之间可能存在相互作用。我们的研究为抑郁症状与夜间和复合型热浪的关联比与白天热浪的关联更强提供了新的证据。这些发现凸显了在全球气候变暖背景下,减轻夜间和日间热事件对心理健康造成风险的公共卫生紧迫性。