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About:
Prevalence and Predictors of General Psychiatric Disorders and Loneliness during COVID-19 in the United Kingdom: Results from the Understanding Society UKHLS
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covidontheweb.inria.fr
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Academic Article
research paper
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Covid-on-the-Web dataset
title
Prevalence and Predictors of General Psychiatric Disorders and Loneliness during COVID-19 in the United Kingdom: Results from the Understanding Society UKHLS
Creator
Li, Lambert
Wang, Senhu
source
MedRxiv
abstract
Despite ample research on the prevalence of specific psychiatric disorders during COVID-19, we know little about how the pandemic affects the general wellbeing of a wider population. The study investigates the prevalence and predictors of general psychiatric disorders measured by the 12-item General Health Questionnaire (GHQ-12) and frequency of loneliness during COVID-19 in the United Kingdom, a country heavily hit by the pandemic. We analyzed 15,530 respondents of the first large-scale, nationally representative survey of COVID-19 in a developed country, the first wave of Understanding Society COVID-19 Study. Results show that 29.2% of the respondents score 4 or more, the caseness threshold, on the general psychiatric disorder measure, and 35.86% of the respondents sometimes or often feel lonely. Regression analyses show that those who have or had COVID-19-related symptoms are more likely to develop general psychiatric disorders and are lonelier. Women and people in their 30s have higher risks of general psychiatric disorders and loneliness, while having a job and living with a partner are protective factors. This study showcases the general psychiatric disorders and loneliness of broader members of the society during COVID-19 and the underlying social disparities.
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2020-06-12
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10.1101/2020.06.09.20120139
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medrxiv
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02d9a01b5ec70a58e6a6436bb8b8bde794fbae7e
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https://doi.org/10.1101/2020.06.09.20120139
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Prevalence and Predictors of General Psychiatric Disorders and Loneliness during COVID-19 in the United Kingdom: Results from the Understanding Society UKHLS
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covid:02d9a01b5ec70a58e6a6436bb8b8bde794fbae7e#body_text
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