Buwei Chen1, Wen Ma1, Yu Pan2, Wei Guo3, Yunsong Chen4. 1. Department of Sociology, School of Social and Behavioral Sciences, Nanjing University, Nanjing, 210023, Jiangsu Province, China. 2. JD.com Retail, Technology and Data Center, Transaction Product Department, Core Transaction Product Group, Beijing, China. 3. Center on Population, Environment, Technology, and Society (C-PETS), School of Social and Behavioral Sciences, Nanjing University, Nanjing, 210023, Jiangsu Province, China. weiguo@nju.edu.cn. 4. Department of Sociology, School of Social and Behavioral Sciences, Nanjing University, Nanjing, 210023, Jiangsu Province, China. yunsong.chen@nju.edu.cn.
Abstract
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 PM2.5 exposure and anxiety at the prefectural level. RESULTS: The results indicated that there was a significant positive association between PM2.5 and anxiety index. The anxiety index increased by 0.1565258 for every unit increase in the PM2.5 level (P < 0.05), which suggested that current PM2.5 levels in China pose a considerable risk to mental health. CONCLUSION: The enormous impact of PM2.5 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.
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 PM2.5 exposure and anxiety at the prefectural level. RESULTS: The results indicated that there was a significant positive association between PM2.5 and anxiety index. The anxiety index increased by 0.1565258 for every unit increase in the PM2.5 level (P < 0.05), which suggested that current PM2.5 levels in China pose a considerable risk to mental health. CONCLUSION: The enormous impact of PM2.5 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.
Entities:
Keywords:
Anxiety; Baidu index; China; PM2.5; Two-way FE model
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