4.8 Article

Mental health concerns during the COVID-19 pandemic as revealed by helpline calls

期刊

NATURE
卷 600, 期 7887, 页码 121-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41586-021-04099-6

关键词

-

资金

  1. Swiss National Science Foundation (NCCR LIVES- 'Overcoming Vulnerability: Life Course Perspectives')

向作者/读者索取更多资源

By analyzing helpline data, researchers found that during the COVID-19 crisis, there was a shift in mental health concerns among the public, with fears of infection, loneliness, and health issues becoming more prevalent. The data also indicated that issues directly related to the pandemic seemed to replace rather than exacerbate underlying anxieties.
Mental health is an important component of public health, especially in times of crisis. However, monitoring public mental health is difficult because data are often patchy and low-frequency(1-3). Here we complement established approaches by using data from helplines, which offer a real-time measure of 'revealed' distress and mental health concerns across a range of topics(4-9). We collected data on 8 million calls from 19 countries, focusing on the COVID-19 crisis. Call volumes peaked six weeks after the initial outbreak, at 35% above pre-pandemic levels. The increase was driven mainly by fear (including fear of infection), loneliness and, later in the pandemic, concerns about physical health. Relationship issues, economic problems, violence and suicidal ideation, however, were less prevalent than before the pandemic. This pattern was apparent both during the first wave and during subsequent COVID-19 waves. Issues linked directly to the pandemic therefore seem to have replaced rather than exacerbated underlying anxieties. Conditional on infection rates, suicide-related calls increased when containment policies became more stringent and decreased when income support was extended. This implies that financial relief can allay the distress triggered by lockdown measures and illustrates the insights that can be gleaned from the statistical analysis of helpline data.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据