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 construct...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-10-01
|
Series: | International Journal of Public Health |
Subjects: | |
Online Access: | https://www.ssph-journal.org/articles/10.3389/ijph.2022.1604919/full |
_version_ | 1811242761055109120 |
---|---|
author | Yi Zhou Weicheng Cai Liyang Xie |
author_facet | Yi Zhou Weicheng Cai Liyang Xie |
author_sort | Yi Zhou |
collection | DOAJ |
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. |
first_indexed | 2024-04-12T13:56:58Z |
format | Article |
id | doaj.art-5d3d7004d0404558a175ff159b917bc1 |
institution | Directory Open Access Journal |
issn | 1661-8564 |
language | English |
last_indexed | 2024-04-12T13:56:58Z |
publishDate | 2022-10-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | International Journal of Public Health |
spelling | doaj.art-5d3d7004d0404558a175ff159b917bc12022-12-22T03:30:21ZengFrontiers Media S.A.International Journal of Public Health1661-85642022-10-016710.3389/ijph.2022.16049191604919The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based StudyYi Zhou0Weicheng Cai1Liyang Xie2Guanghua School of Management, Peking University, Beijing, ChinaGuanghua School of Management, Peking University, Beijing, ChinaInstitute of Behavioral Science, University of Colorado Boulder, Boulder, CO, United StatesObjectives: 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.https://www.ssph-journal.org/articles/10.3389/ijph.2022.1604919/fullCOVID-19Chinaeducationchronic diseasedepressive symptoms |
spellingShingle | Yi Zhou Weicheng Cai Liyang Xie The Impact of the COVID-19 Pandemic on Depressive Symptoms in China: A Longitudinal, Population-Based Study International Journal of Public Health COVID-19 China education chronic disease depressive symptoms |
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 | COVID-19 China education chronic disease depressive symptoms |
url | https://www.ssph-journal.org/articles/10.3389/ijph.2022.1604919/full |
work_keys_str_mv | AT yizhou theimpactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy AT weichengcai theimpactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy AT liyangxie theimpactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy AT yizhou impactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy AT weichengcai impactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy AT liyangxie impactofthecovid19pandemicondepressivesymptomsinchinaalongitudinalpopulationbasedstudy |