Selina Kit Yi Chan, Crystal Jingru Li, Percy Poo-see Tse, Evon Lam Wong, Anan Wang, Huinan Liu, Stevan E. Hobfoll, Chi Yung Jim, Wai Kai Hou
{"title":"2019冠状病毒病期间的空气质量和心理健康：对日常干扰的中介作用的前瞻性基于人群的分析","authors":"Selina Kit Yi Chan, Crystal Jingru Li, Percy Poo-see Tse, Evon Lam Wong, Anan Wang, Huinan Liu, Stevan E. Hobfoll, Chi Yung Jim, Wai Kai Hou","doi":"10.1007/s11869-025-01781-w","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Previous evidence consistently demonstrated a robust positive association between poor air quality and common psychiatric symptoms of depression and anxiety. This relationship was exacerbated by potentially traumatic events such as the recent COVID-19 pandemic. Daily routine disruptions could aggravate the impact of poor air quality on psychiatric symptoms. This study aims to investigate the positive links between poor air quality and depressive and anxiety symptoms and the mediating effects of daily routine disruptions on the associations in a population-representative cohort in Hong Kong amid the COVID-19 pandemic. A territory-wide cohort study of a population-representative sample of 1333 Hong Kong Chinese respondents was conducted to assess daily routine disruptions from March to August 2021 (T1) using the Sustainability of Living Inventory. Depressive and anxiety symptoms were measured at two time points: T1 and again from October 2021 to February 2022 (T2) using the 9-item Patient Health Questionnaire and the General Anxiety Disorder-7, respectively. Air Quality Health Index scores (AQHI) were obtained from the government database at T1. Path analysis examined the hypothesized indirect effect of T1 AQHI on T2 psychiatric symptoms via T1 daily routine disruptions, controlling for the effects of demographic and environmental covariates. Path analyses revealed that disruptions to sleep and socializing at T1 fully mediated the positive association between T1 AQHI and T2 depressive symptoms, whereas T1 disruptions to healthy eating, sleep, socializing, and exercising fully mediated the positive association between T1 AQHI and T2 anxiety symptoms. The current findings suggest that people could be oblivious to changes in air quality, but they increase psychiatric symptoms in the population by disrupting the regularity of daily routines. Regularizing daily routines could offer an easy and scalable approach for improving population mental health in urban areas in the face of increasing climate change burdens.</p>\n </div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"18 9","pages":"2591 - 2607"},"PeriodicalIF":2.9000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Air quality and mental health amid COVID-19: a prospective population-based analysis of the mediating role of daily routine disruptions\",\"authors\":\"Selina Kit Yi Chan, Crystal Jingru Li, Percy Poo-see Tse, Evon Lam Wong, Anan Wang, Huinan Liu, Stevan E. Hobfoll, Chi Yung Jim, Wai Kai Hou\",\"doi\":\"10.1007/s11869-025-01781-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Previous evidence consistently demonstrated a robust positive association between poor air quality and common psychiatric symptoms of depression and anxiety. This relationship was exacerbated by potentially traumatic events such as the recent COVID-19 pandemic. Daily routine disruptions could aggravate the impact of poor air quality on psychiatric symptoms. This study aims to investigate the positive links between poor air quality and depressive and anxiety symptoms and the mediating effects of daily routine disruptions on the associations in a population-representative cohort in Hong Kong amid the COVID-19 pandemic. A territory-wide cohort study of a population-representative sample of 1333 Hong Kong Chinese respondents was conducted to assess daily routine disruptions from March to August 2021 (T1) using the Sustainability of Living Inventory. Depressive and anxiety symptoms were measured at two time points: T1 and again from October 2021 to February 2022 (T2) using the 9-item Patient Health Questionnaire and the General Anxiety Disorder-7, respectively. Air Quality Health Index scores (AQHI) were obtained from the government database at T1. Path analysis examined the hypothesized indirect effect of T1 AQHI on T2 psychiatric symptoms via T1 daily routine disruptions, controlling for the effects of demographic and environmental covariates. Path analyses revealed that disruptions to sleep and socializing at T1 fully mediated the positive association between T1 AQHI and T2 depressive symptoms, whereas T1 disruptions to healthy eating, sleep, socializing, and exercising fully mediated the positive association between T1 AQHI and T2 anxiety symptoms. The current findings suggest that people could be oblivious to changes in air quality, but they increase psychiatric symptoms in the population by disrupting the regularity of daily routines. 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Air quality and mental health amid COVID-19: a prospective population-based analysis of the mediating role of daily routine disruptions
Previous evidence consistently demonstrated a robust positive association between poor air quality and common psychiatric symptoms of depression and anxiety. This relationship was exacerbated by potentially traumatic events such as the recent COVID-19 pandemic. Daily routine disruptions could aggravate the impact of poor air quality on psychiatric symptoms. This study aims to investigate the positive links between poor air quality and depressive and anxiety symptoms and the mediating effects of daily routine disruptions on the associations in a population-representative cohort in Hong Kong amid the COVID-19 pandemic. A territory-wide cohort study of a population-representative sample of 1333 Hong Kong Chinese respondents was conducted to assess daily routine disruptions from March to August 2021 (T1) using the Sustainability of Living Inventory. Depressive and anxiety symptoms were measured at two time points: T1 and again from October 2021 to February 2022 (T2) using the 9-item Patient Health Questionnaire and the General Anxiety Disorder-7, respectively. Air Quality Health Index scores (AQHI) were obtained from the government database at T1. Path analysis examined the hypothesized indirect effect of T1 AQHI on T2 psychiatric symptoms via T1 daily routine disruptions, controlling for the effects of demographic and environmental covariates. Path analyses revealed that disruptions to sleep and socializing at T1 fully mediated the positive association between T1 AQHI and T2 depressive symptoms, whereas T1 disruptions to healthy eating, sleep, socializing, and exercising fully mediated the positive association between T1 AQHI and T2 anxiety symptoms. The current findings suggest that people could be oblivious to changes in air quality, but they increase psychiatric symptoms in the population by disrupting the regularity of daily routines. Regularizing daily routines could offer an easy and scalable approach for improving population mental health in urban areas in the face of increasing climate change burdens.
期刊介绍：
Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health.
It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes.
International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals.
Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements.
This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.
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