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Mental health concerns during the COVID-19 pandemic as revealed by helpline calls
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Mental health concerns during the COVID-19 pandemic as revealed by helpline calls
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Journal Article
Mental health concerns during the COVID-19 pandemic as revealed by helpline calls
2021
Overview
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
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. 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
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. 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.
Data collected from crisis helplines during the COVID-19 pandemic show that pandemic-related issues replaced rather than exacerbated underlying anxieties, and demonstrate that helpline data are useful indicators of public mental health.
Publisher
Nature Publishing Group UK,Nature Publishing Group
Subject
/ Adult
/ COVID-19
/ Fear
/ Female
/ Health
/ Hotlines - statistics & numerical data
/ Humanities and Social Sciences
/ Humans
/ Male
/ Mental Health - statistics & numerical data
/ Science
/ Severe acute respiratory syndrome coronavirus 2
/ Statistical analysis of data
/ Suicide
/ United States - epidemiology
/ Violence
