The Association Between PM and Depression in China
While China has been experiencing unprecedented economic growth, depression is becoming one of the most striking social and mental health problems in recent years. Such a paradox to progress may partially be due to the notoriously poor air quality of the country. To verify this argument, we construc...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2020-07-01
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Series: | Dose-Response |
Online Access: | https://doi.org/10.1177/1559325820942699 |
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author | Guangye He Yunsong Chen Senhu Wang Yiqun Dong Guodong Ju Buwei Chen |
author_facet | Guangye He Yunsong Chen Senhu Wang Yiqun Dong Guodong Ju Buwei Chen |
author_sort | Guangye He |
collection | DOAJ |
description | While China has been experiencing unprecedented economic growth, depression is becoming one of the most striking social and mental health problems in recent years. Such a paradox to progress may partially be due to the notoriously poor air quality of the country. To verify this argument, we constructed an index of the prevalence of depression (IPD) using internet search query volumes in Baidu to proxy the potential depression and examined how IPD is associated with PM 2.5 , the major air pollutant in China. Our results from 2-way fixed effects models reveal that a 100 μg·m −3 increase in previous week’s PM 2.5 in a city is significantly associated with 0.279 increase in its IPD, comparable to 7.34 hours decrease in weekly daylight, and such relationship is particularly pronounced in the spring and summer and in East and South areas. Our findings of large-scale pattern suggest that PM 2.5 at current levels in China poses serious mental health risks. |
first_indexed | 2024-12-13T14:21:55Z |
format | Article |
id | doaj.art-49d5c7f7ffd74696b191c06c60eaacc0 |
institution | Directory Open Access Journal |
issn | 1559-3258 |
language | English |
last_indexed | 2024-12-13T14:21:55Z |
publishDate | 2020-07-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Dose-Response |
spelling | doaj.art-49d5c7f7ffd74696b191c06c60eaacc02022-12-21T23:42:04ZengSAGE PublishingDose-Response1559-32582020-07-011810.1177/1559325820942699The Association Between PM and Depression in ChinaGuangye He0Yunsong Chen1Senhu Wang2Yiqun Dong3Guodong Ju4Buwei Chen5 School of Social and Behavioral Sciences, Nanjing University, Nanjing, China The Johns Hopkins University-Nanjing University Center for Chinese and American Studies, Nanjing, China University of Cambridge, Cambridge, United Kingdom School of Social and Behavioral Sciences, Nanjing University, Nanjing, China School of Social and Behavioral Sciences, Nanjing University, Nanjing, China The First Affiliated Hospital with Nanjing Medical University, Nanjing, ChinaWhile China has been experiencing unprecedented economic growth, depression is becoming one of the most striking social and mental health problems in recent years. Such a paradox to progress may partially be due to the notoriously poor air quality of the country. To verify this argument, we constructed an index of the prevalence of depression (IPD) using internet search query volumes in Baidu to proxy the potential depression and examined how IPD is associated with PM 2.5 , the major air pollutant in China. Our results from 2-way fixed effects models reveal that a 100 μg·m −3 increase in previous week’s PM 2.5 in a city is significantly associated with 0.279 increase in its IPD, comparable to 7.34 hours decrease in weekly daylight, and such relationship is particularly pronounced in the spring and summer and in East and South areas. Our findings of large-scale pattern suggest that PM 2.5 at current levels in China poses serious mental health risks.https://doi.org/10.1177/1559325820942699 |
spellingShingle | Guangye He Yunsong Chen Senhu Wang Yiqun Dong Guodong Ju Buwei Chen The Association Between PM and Depression in China Dose-Response |
title | The Association Between PM and Depression in China |
title_full | The Association Between PM and Depression in China |
title_fullStr | The Association Between PM and Depression in China |
title_full_unstemmed | The Association Between PM and Depression in China |
title_short | The Association Between PM and Depression in China |
title_sort | association between pm and depression in china |
url | https://doi.org/10.1177/1559325820942699 |
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