Cargando…
The Association Between PM(2.5) 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...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370340/ https://www.ncbi.nlm.nih.gov/pubmed/32733175 http://dx.doi.org/10.1177/1559325820942699 |
_version_ | 1783560967439777792 |
---|---|
author | He, Guangye Chen, Yunsong Wang, Senhu Dong, Yiqun Ju, Guodong Chen, Buwei |
author_facet | He, Guangye Chen, Yunsong Wang, Senhu Dong, Yiqun Ju, Guodong Chen, Buwei |
author_sort | He, Guangye |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7370340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-73703402020-07-29 The Association Between PM(2.5) and Depression in China He, Guangye Chen, Yunsong Wang, Senhu Dong, Yiqun Ju, Guodong Chen, Buwei Dose Response Original Article 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. SAGE Publications 2020-07-17 /pmc/articles/PMC7370340/ /pubmed/32733175 http://dx.doi.org/10.1177/1559325820942699 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article He, Guangye Chen, Yunsong Wang, Senhu Dong, Yiqun Ju, Guodong Chen, Buwei The Association Between PM(2.5) and Depression in China |
title | The Association Between PM(2.5) and Depression in China |
title_full | The Association Between PM(2.5) and Depression in China |
title_fullStr | The Association Between PM(2.5) and Depression in China |
title_full_unstemmed | The Association Between PM(2.5) and Depression in China |
title_short | The Association Between PM(2.5) and Depression in China |
title_sort | association between pm(2.5) and depression in china |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370340/ https://www.ncbi.nlm.nih.gov/pubmed/32733175 http://dx.doi.org/10.1177/1559325820942699 |
work_keys_str_mv | AT heguangye theassociationbetweenpm25anddepressioninchina AT chenyunsong theassociationbetweenpm25anddepressioninchina AT wangsenhu theassociationbetweenpm25anddepressioninchina AT dongyiqun theassociationbetweenpm25anddepressioninchina AT juguodong theassociationbetweenpm25anddepressioninchina AT chenbuwei theassociationbetweenpm25anddepressioninchina AT heguangye associationbetweenpm25anddepressioninchina AT chenyunsong associationbetweenpm25anddepressioninchina AT wangsenhu associationbetweenpm25anddepressioninchina AT dongyiqun associationbetweenpm25anddepressioninchina AT juguodong associationbetweenpm25anddepressioninchina AT chenbuwei associationbetweenpm25anddepressioninchina |