Lingli Wang, Jingru Zong, Yajie Du, Chunyu Lu, Qing Wang
{"title":"短期环境温度变异性与抑郁症状的关系——以交错采用中国低碳城市计划为准自然实验","authors":"Lingli Wang, Jingru Zong, Yajie Du, Chunyu Lu, Qing Wang","doi":"10.1007/s11869-023-01337-w","DOIUrl":null,"url":null,"abstract":"<div><p>Growing epidemiological evidence has shown that ambient temperature variability (TV) contributes to multiple health problems. However, whether short-term TV affects mental health remains unclear. Based on a nationally representative cohort sample from 2011 to 2018 in China, this study linked monthly TV with depressive symptoms. City-level data on daily temperature for 1 month prior to the survey date were collected. The TV in 1 month for each participant, measured by the standard deviations (SDs) of daily humidex, daily mean temperature, daily minimum temperature, and daily maximum temperature, was calculated based on the above daily data. The 10-item Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms. Random effects models and difference-in-difference models based on the introduction of low-carbon cities (LCCs) were applied. A one-point increase in the 1-month SDs of daily humidex and mean temperature was associated with 0.096 (95% confidence interval (CI): 0.040–0.152) and 0.178 (95% CI: 0.081–0.276) increases in CES-D scores. Similar associations were found when temperature variability was measured by the SDs of the daily minimum temperature and maximum temperature. In addition, a positive and statistically significant mental health effect of changes in TV was found after the introduction of the LCCs. A one-point increase in monthly TV, measured by daily humidex, was associated with an increase in the CES-D score of 0.148 (95% CI: 0.018–0.277) for those experiencing the introduction of LCCs. Our results suggest that mental health improvements should account for ambient TV in China.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11869-023-01337-w.pdf","citationCount":"0","resultStr":"{\"title\":\"Association between short-term ambient temperature variability and depressive symptoms: using staggered adoption of low-carbon city program in China as a quasi-natural experiment\",\"authors\":\"Lingli Wang, Jingru Zong, Yajie Du, Chunyu Lu, Qing Wang\",\"doi\":\"10.1007/s11869-023-01337-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Growing epidemiological evidence has shown that ambient temperature variability (TV) contributes to multiple health problems. However, whether short-term TV affects mental health remains unclear. Based on a nationally representative cohort sample from 2011 to 2018 in China, this study linked monthly TV with depressive symptoms. City-level data on daily temperature for 1 month prior to the survey date were collected. The TV in 1 month for each participant, measured by the standard deviations (SDs) of daily humidex, daily mean temperature, daily minimum temperature, and daily maximum temperature, was calculated based on the above daily data. The 10-item Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms. Random effects models and difference-in-difference models based on the introduction of low-carbon cities (LCCs) were applied. A one-point increase in the 1-month SDs of daily humidex and mean temperature was associated with 0.096 (95% confidence interval (CI): 0.040–0.152) and 0.178 (95% CI: 0.081–0.276) increases in CES-D scores. Similar associations were found when temperature variability was measured by the SDs of the daily minimum temperature and maximum temperature. In addition, a positive and statistically significant mental health effect of changes in TV was found after the introduction of the LCCs. A one-point increase in monthly TV, measured by daily humidex, was associated with an increase in the CES-D score of 0.148 (95% CI: 0.018–0.277) for those experiencing the introduction of LCCs. Our results suggest that mental health improvements should account for ambient TV in China.</p></div>\",\"PeriodicalId\":49109,\"journal\":{\"name\":\"Air Quality Atmosphere and Health\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2023-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s11869-023-01337-w.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Quality Atmosphere and Health\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11869-023-01337-w\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality Atmosphere and Health","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11869-023-01337-w","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Association between short-term ambient temperature variability and depressive symptoms: using staggered adoption of low-carbon city program in China as a quasi-natural experiment
Growing epidemiological evidence has shown that ambient temperature variability (TV) contributes to multiple health problems. However, whether short-term TV affects mental health remains unclear. Based on a nationally representative cohort sample from 2011 to 2018 in China, this study linked monthly TV with depressive symptoms. City-level data on daily temperature for 1 month prior to the survey date were collected. The TV in 1 month for each participant, measured by the standard deviations (SDs) of daily humidex, daily mean temperature, daily minimum temperature, and daily maximum temperature, was calculated based on the above daily data. The 10-item Center for Epidemiologic Studies Depression Scale (CES-D) was used to measure depressive symptoms. Random effects models and difference-in-difference models based on the introduction of low-carbon cities (LCCs) were applied. A one-point increase in the 1-month SDs of daily humidex and mean temperature was associated with 0.096 (95% confidence interval (CI): 0.040–0.152) and 0.178 (95% CI: 0.081–0.276) increases in CES-D scores. Similar associations were found when temperature variability was measured by the SDs of the daily minimum temperature and maximum temperature. In addition, a positive and statistically significant mental health effect of changes in TV was found after the introduction of the LCCs. A one-point increase in monthly TV, measured by daily humidex, was associated with an increase in the CES-D score of 0.148 (95% CI: 0.018–0.277) for those experiencing the introduction of LCCs. Our results suggest that mental health improvements should account for ambient TV in China.
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.