Cargando…

The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based Study

Objectives: We aimed to examine how COVID-19 incidence is associated with depressive symptoms in China, whether the association is transient, and whether the association differs across groups. Methods: We used a longitudinal sample from 2018 to 2020 waves of the China Family Panel Study. We construc...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Yi, Cai, Weicheng, Xie, Liyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576838/
https://www.ncbi.nlm.nih.gov/pubmed/36267440
http://dx.doi.org/10.3389/ijph.2022.1604919
_version_ 1784811618214871040
author Zhou, Yi
Cai, Weicheng
Xie, Liyang
author_facet Zhou, Yi
Cai, Weicheng
Xie, Liyang
author_sort Zhou, Yi
collection PubMed
description Objectives: We aimed to examine how COVID-19 incidence is associated with depressive symptoms in China, whether the association is transient, and whether the association differs across groups. Methods: We used a longitudinal sample from 2018 to 2020 waves of the China Family Panel Study. We constructed COVID-19 incidence rates as the number of new cases per 100,000 population in respondents’ resident provinces in the past 7, 14, and 28 days when a respondent was surveyed. We performed linear or logistic regressions to examine the associations, and performed stratified analyses to explore the heterogeneity of the associations. Results: Our sample included 13,655 adults. The 7-day incidence rate was positively associated with the CES-D score (coef. = 2.551, 95% CI: 1.959–3.142), and likelihood of being more depressed (adjusted odds ratio = 6.916, 95% CI: 4.715–10.144). The associations were larger among those with less education, pre-existing depression, or chronic conditions. We did not find any significant association between the 14- or 28-day local incidence rates and depressive symptoms. Conclusion: The impact of COVID-19 incidence on mental health in China’s general population was statistically significant and moderate in magnitude and transient. Disadvantaged groups experienced higher increases in depressive symptoms.
format Online
Article
Text
id pubmed-9576838
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95768382022-10-19 The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based Study Zhou, Yi Cai, Weicheng Xie, Liyang Int J Public Health Public Health Archive Objectives: We aimed to examine how COVID-19 incidence is associated with depressive symptoms in China, whether the association is transient, and whether the association differs across groups. Methods: We used a longitudinal sample from 2018 to 2020 waves of the China Family Panel Study. We constructed COVID-19 incidence rates as the number of new cases per 100,000 population in respondents’ resident provinces in the past 7, 14, and 28 days when a respondent was surveyed. We performed linear or logistic regressions to examine the associations, and performed stratified analyses to explore the heterogeneity of the associations. Results: Our sample included 13,655 adults. The 7-day incidence rate was positively associated with the CES-D score (coef. = 2.551, 95% CI: 1.959–3.142), and likelihood of being more depressed (adjusted odds ratio = 6.916, 95% CI: 4.715–10.144). The associations were larger among those with less education, pre-existing depression, or chronic conditions. We did not find any significant association between the 14- or 28-day local incidence rates and depressive symptoms. Conclusion: The impact of COVID-19 incidence on mental health in China’s general population was statistically significant and moderate in magnitude and transient. Disadvantaged groups experienced higher increases in depressive symptoms. Frontiers Media S.A. 2022-10-04 /pmc/articles/PMC9576838/ /pubmed/36267440 http://dx.doi.org/10.3389/ijph.2022.1604919 Text en Copyright © 2022 Zhou, Cai and Xie. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health Archive
Zhou, Yi
Cai, Weicheng
Xie, Liyang
The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based Study
title The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based Study
title_full The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based Study
title_fullStr The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based Study
title_full_unstemmed The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based Study
title_short The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based Study
title_sort impact of the covid-19 pandemic on depressive symptoms in china: a longitudinal, population-based study
topic Public Health Archive
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576838/
https://www.ncbi.nlm.nih.gov/pubmed/36267440
http://dx.doi.org/10.3389/ijph.2022.1604919
work_keys_str_mv AT zhouyi theimpactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy
AT caiweicheng theimpactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy
AT xieliyang theimpactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy
AT zhouyi impactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy
AT caiweicheng impactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy
AT xieliyang impactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy