Zhou Yumeng, Ji Ailing, Tang Enjie, Liu Jianghong, Yao Chunyan, Liu Xiaoling, Xu Chen, Xiao Hua, Hu Yuegu, Jiang Yuexu, Li Dawei, Du Ning, Li Yafei, Zhou Laixin, Cai Tongjian
Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, 400038, China.
Department of Preventive Medicine & Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, China.
Environ Res. 2023 Apr 1;222:115400. doi: 10.1016/j.envres.2023.115400. Epub 2023 Jan 31.
As global climate change intensifies, people are paying increasing attention to the impact of temperature changes on adverse mental health outcomes, especially depression. While increasing attention has been paid to the effect of temperature, there is little research on the effect of humidity. We aimed to investigate the association between humidex, an index combining temperature and humidity to reflect perceived temperature, and outpatient visits for depression from 2014 to 2019 in Chongqing, the largest and one of the most hot and humid cities of China. We also aimed to further identify susceptible subgroups. A distributed lag non-linear model (DLNM) was used to explore the concentration-response relationship between humidex and depression outpatient visits. Hierarchical analysis was carried out by age and gender. A total of 155,436 visits for depression were collected from 2014 to 2019 (2191 days). We found that depression outpatient visits were significantly associated with extremely high humidex (≥40). The significant positive single-lag day effect existed at lag 0 (RR = 1.029, 95%CI: 1.000-1.059) to lag 2 (RR = 1.01, 95%CI: 1.004-1.028), and lag 12 (RR = 1.013, 95%CI: 1.002-1.024). The significant cumulative adverse effects lasted from lag 01 to lag 014. Hierarchical analyses showed that females and the elderly (≥60 years) appeared to be more susceptible to extremely high humidex. The attributable numbers (AN) and fraction (AF) of extremely high humidex on depression outpatients were 1709 and 1.10%, respectively. Extremely high humidex can potentially increase the risk of depression, especially in females and the elderly. More protective measures should be taken in vulnerable populations.
随着全球气候变化加剧，人们越来越关注温度变化对不良心理健康结果的影响，尤其是抑郁症。虽然温度的影响已受到越来越多的关注，但关于湿度影响的研究却很少。我们旨在调查体感温度指数（一种结合温度和湿度以反映感知温度的指数）与2014年至2019年中国最大且最炎热潮湿的城市之一重庆的抑郁症门诊就诊之间的关联。我们还旨在进一步确定易感亚组。采用分布滞后非线性模型（DLNM）来探索体感温度指数与抑郁症门诊就诊之间的浓度-反应关系。按年龄和性别进行分层分析。2014年至2019年（共2191天）共收集到155436例抑郁症门诊就诊病例。我们发现，抑郁症门诊就诊与极高的体感温度指数（≥40）显著相关。在滞后0天（RR = 1.029，95%CI：1.000 - 1.059）至滞后2天（RR = 1.01，95%CI：1.004 - 1.028）以及滞后12天（RR = 1.013，CI：%95：1.002 - 1.024）存在显著的单滞后日效应。显著的累积不良效应从滞后01天持续到滞后014天。分层分析表明，女性和老年人（≥60岁）似乎更容易受到极高体感温度指数的影响。极高体感温度指数对抑郁症门诊患者的归因数（AN）和归因分数（AF）分别为1709和1.10%。极高的体感温度指数可能会增加患抑郁症的风险，尤其是在女性和老年人中。应针对弱势群体采取更多保护措施。
