COVID-19 and mental health in China: the effects of personality.

COVID-19 ECONOMICS MENTAL HEALTH

Journal

Journal of epidemiology and community health
ISSN: 1470-2738
Titre abrégé: J Epidemiol Community Health
Pays: England
ID NLM: 7909766

Informations de publication

Date de publication:
09 Dec 2023
Historique:
received: 07 07 2023
accepted: 25 11 2023
medline: 10 12 2023
pubmed: 10 12 2023
entrez: 10 12 2023
Statut: aheadofprint

Résumé

China was the first country affected by the COVID-19 virus, and it is a very important case to study the effects of the virus and the consequent restrictions. However, national representative studies of how the COVID-19 pandemic affects mental health in China are still limited. Using two waves of the China Family Panel Studies, we follow the same individuals before and during the pandemic. We compare weighted means using 95% CIs to explore mental health deterioration, and we and perform several linear regressions with the Ordinaly Least Square (OLS) estimator to identify individuals most affected by the COVID-19 pandemic. The prevalence of severe cases of depression, measured using an eight-item version of the common Centre for Epidemiologic Studies Depression Scale (CES-D), increased from 6.68% in 2018 to 7.86% in 2020; quantifiable as around a 18% increase. This deterioration is higher for individuals subject to strict lockdowns, about 0.4 symptoms more on average, and it is stronger among those who already reported symptoms of depression in the 2018 wave of data. Individuals with more open personalities tend to experience more severe deterioration: a 1 SD change in the openness trait corresponds to 0.05 more symptoms. On the other hand, more neurotic individuals seem less negatively affected. We find clear evidence of a moderate level of mental health deterioration between 2018 and 2020. These effects are larger for individuals subject to stricter lockdowns and for individuals with more open personalities.

Sections du résumé

BACKGROUND BACKGROUND
China was the first country affected by the COVID-19 virus, and it is a very important case to study the effects of the virus and the consequent restrictions. However, national representative studies of how the COVID-19 pandemic affects mental health in China are still limited.
METHODS METHODS
Using two waves of the China Family Panel Studies, we follow the same individuals before and during the pandemic. We compare weighted means using 95% CIs to explore mental health deterioration, and we and perform several linear regressions with the Ordinaly Least Square (OLS) estimator to identify individuals most affected by the COVID-19 pandemic.
RESULTS RESULTS
The prevalence of severe cases of depression, measured using an eight-item version of the common Centre for Epidemiologic Studies Depression Scale (CES-D), increased from 6.68% in 2018 to 7.86% in 2020; quantifiable as around a 18% increase. This deterioration is higher for individuals subject to strict lockdowns, about 0.4 symptoms more on average, and it is stronger among those who already reported symptoms of depression in the 2018 wave of data. Individuals with more open personalities tend to experience more severe deterioration: a 1 SD change in the openness trait corresponds to 0.05 more symptoms. On the other hand, more neurotic individuals seem less negatively affected.
CONCLUSION CONCLUSIONS
We find clear evidence of a moderate level of mental health deterioration between 2018 and 2020. These effects are larger for individuals subject to stricter lockdowns and for individuals with more open personalities.

Identifiants

pubmed: 38071577
pii: jech-2023-221077
doi: 10.1136/jech-2023-221077
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Xiao Zhang (X)

University of Glasgow, Glasgow, UK.

Michele Battisti (M)

University of Glasgow, Glasgow, UK.
IZA, Bonn, Germany.
CesIfo, Munich, Germany.

Eugenio Proto (E)

University of Glasgow, Glasgow, UK eugenio.proto@glasgow.ac.uk.
IZA, Bonn, Germany.
CesIfo, Munich, Germany.
CEPR, London, UK.

Classifications MeSH