Cargando…
PM(2.5) exposure and anxiety in China: evidence from the prefectures
BACKGROUND: Anxiety disorders are among the most common mental health concerns today. While numerous factors are known to affect anxiety disorders, the ways in which environmental factors aggravate or mitigate anxiety are not fully understood. METHODS: Baidu is the most widely used search engine in...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923520/ https://www.ncbi.nlm.nih.gov/pubmed/33653307 http://dx.doi.org/10.1186/s12889-021-10471-y |
_version_ | 1783658919727464448 |
---|---|
author | Chen, Buwei Ma, Wen Pan, Yu Guo, Wei Chen, Yunsong |
author_facet | Chen, Buwei Ma, Wen Pan, Yu Guo, Wei Chen, Yunsong |
author_sort | Chen, Buwei |
collection | PubMed |
description | BACKGROUND: Anxiety disorders are among the most common mental health concerns today. While numerous factors are known to affect anxiety disorders, the ways in which environmental factors aggravate or mitigate anxiety are not fully understood. METHODS: Baidu is the most widely used search engine in China, and a large amount of data on internet behavior indicates that anxiety is a growing concern. We reviewed the annual Baidu Indices of anxiety-related keywords for cities in China from 2013 to 2018 and constructed anxiety indices. We then employed a two-way fixed effect (FE) model to analyze the relationship between PM(2.5) exposure and anxiety at the prefectural level. RESULTS: The results indicated that there was a significant positive association between PM(2.5) and anxiety index. The anxiety index increased by 0.1565258 for every unit increase in the PM(2.5) level (P < 0.05), which suggested that current PM(2.5) levels in China pose a considerable risk to mental health. CONCLUSION: The enormous impact of PM(2.5) exposure indicates that the macroscopic environment can shape individual mentality and social behavior, and that it can be extremely destructive in terms of societal mindset. |
format | Online Article Text |
id | pubmed-7923520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79235202021-03-02 PM(2.5) exposure and anxiety in China: evidence from the prefectures Chen, Buwei Ma, Wen Pan, Yu Guo, Wei Chen, Yunsong BMC Public Health Research Article BACKGROUND: Anxiety disorders are among the most common mental health concerns today. While numerous factors are known to affect anxiety disorders, the ways in which environmental factors aggravate or mitigate anxiety are not fully understood. METHODS: Baidu is the most widely used search engine in China, and a large amount of data on internet behavior indicates that anxiety is a growing concern. We reviewed the annual Baidu Indices of anxiety-related keywords for cities in China from 2013 to 2018 and constructed anxiety indices. We then employed a two-way fixed effect (FE) model to analyze the relationship between PM(2.5) exposure and anxiety at the prefectural level. RESULTS: The results indicated that there was a significant positive association between PM(2.5) and anxiety index. The anxiety index increased by 0.1565258 for every unit increase in the PM(2.5) level (P < 0.05), which suggested that current PM(2.5) levels in China pose a considerable risk to mental health. CONCLUSION: The enormous impact of PM(2.5) exposure indicates that the macroscopic environment can shape individual mentality and social behavior, and that it can be extremely destructive in terms of societal mindset. BioMed Central 2021-03-02 /pmc/articles/PMC7923520/ /pubmed/33653307 http://dx.doi.org/10.1186/s12889-021-10471-y Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Chen, Buwei Ma, Wen Pan, Yu Guo, Wei Chen, Yunsong PM(2.5) exposure and anxiety in China: evidence from the prefectures |
title | PM(2.5) exposure and anxiety in China: evidence from the prefectures |
title_full | PM(2.5) exposure and anxiety in China: evidence from the prefectures |
title_fullStr | PM(2.5) exposure and anxiety in China: evidence from the prefectures |
title_full_unstemmed | PM(2.5) exposure and anxiety in China: evidence from the prefectures |
title_short | PM(2.5) exposure and anxiety in China: evidence from the prefectures |
title_sort | pm(2.5) exposure and anxiety in china: evidence from the prefectures |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7923520/ https://www.ncbi.nlm.nih.gov/pubmed/33653307 http://dx.doi.org/10.1186/s12889-021-10471-y |
work_keys_str_mv | AT chenbuwei pm25exposureandanxietyinchinaevidencefromtheprefectures AT mawen pm25exposureandanxietyinchinaevidencefromtheprefectures AT panyu pm25exposureandanxietyinchinaevidencefromtheprefectures AT guowei pm25exposureandanxietyinchinaevidencefromtheprefectures AT chenyunsong pm25exposureandanxietyinchinaevidencefromtheprefectures |