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Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample
OBJECTIVES: We aimed to determine (1) the prevalence of depression during the COVID-19 pandemic among Chinese adults and (2) how depression prevalence varied by province and sociodemographic characteristics. DESIGN: Cross-sectional study. SETTING: National online survey in China. PARTICIPANTS: We co...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914405/ https://www.ncbi.nlm.nih.gov/pubmed/35264364 http://dx.doi.org/10.1136/bmjopen-2021-056667 |
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author | Liu, Weina Yu, Fengyun Geldsetzer, Pascal Yang, Juntao Wang, Zhuoran Golden, Todd Jiao, Lirui Chen, Qiushi Liu, Haitao Wu, Peixin Wang, Chen Bärnighausen, Till Chen, Simiao |
author_facet | Liu, Weina Yu, Fengyun Geldsetzer, Pascal Yang, Juntao Wang, Zhuoran Golden, Todd Jiao, Lirui Chen, Qiushi Liu, Haitao Wu, Peixin Wang, Chen Bärnighausen, Till Chen, Simiao |
author_sort | Liu, Weina |
collection | PubMed |
description | OBJECTIVES: We aimed to determine (1) the prevalence of depression during the COVID-19 pandemic among Chinese adults and (2) how depression prevalence varied by province and sociodemographic characteristics. DESIGN: Cross-sectional study. SETTING: National online survey in China. PARTICIPANTS: We conducted a cross-sectional online survey among adults registered with the survey company KuRunData from 8 May 2020 to 8 June 2020. We aimed to recruit 300–360 adults per province (n=14 493), with a similar distribution by sex and rural-urban residency as the general population within each of these provinces. PRIMARY OUTCOME: Participants completed the Patient Health Questionaire-9 (PHQ-9). We calculated the prevalence of depression (defined as a PHQ-9 score ≥10) nationally and separately for each province. ANALYSIS: Covariate-unadjusted and covariate-adjusted logistic regression models were used to examine how the prevalence of depression varied by adults’ sociodemographic characteristics. All analyses used survey sampling weights. RESULTS: The survey was initiated by 14 493 participants, with 10 000 completing all survey questions and included in the analysis. The prevalence of depression in the national sample was 6.3% (95% CI 5.7% to 6.8%). A higher odds of depression was associated with living in an urban area (OR 1.50; 95% CI 1.18 to 1.90) and working as a nurse (OR 3.06; 95% CI 1.41 to 6.66). A lower odds of depression was associated with participants who had accurate knowledge of COVID-19 transmission prevention actions (OR 0.71; 95% CI 0.51 to 0.98), the knowledge that saliva is a main transmission route (OR 0.80; 95% CI 0.64 to 0.99) and awareness of COVID-19 symptoms (OR, 0.82; 95% CI 0.68 to 1.00). CONCLUSION: Around one in 20 adults in our online survey sample had a PHQ-9 score suggestive of depression. Interventions and policies to prevent and treat depression during the COVID-19 pandemic in China may be particularly needed for nurses and those living in urban areas. |
format | Online Article Text |
id | pubmed-8914405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-89144052022-03-11 Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample Liu, Weina Yu, Fengyun Geldsetzer, Pascal Yang, Juntao Wang, Zhuoran Golden, Todd Jiao, Lirui Chen, Qiushi Liu, Haitao Wu, Peixin Wang, Chen Bärnighausen, Till Chen, Simiao BMJ Open Public Health OBJECTIVES: We aimed to determine (1) the prevalence of depression during the COVID-19 pandemic among Chinese adults and (2) how depression prevalence varied by province and sociodemographic characteristics. DESIGN: Cross-sectional study. SETTING: National online survey in China. PARTICIPANTS: We conducted a cross-sectional online survey among adults registered with the survey company KuRunData from 8 May 2020 to 8 June 2020. We aimed to recruit 300–360 adults per province (n=14 493), with a similar distribution by sex and rural-urban residency as the general population within each of these provinces. PRIMARY OUTCOME: Participants completed the Patient Health Questionaire-9 (PHQ-9). We calculated the prevalence of depression (defined as a PHQ-9 score ≥10) nationally and separately for each province. ANALYSIS: Covariate-unadjusted and covariate-adjusted logistic regression models were used to examine how the prevalence of depression varied by adults’ sociodemographic characteristics. All analyses used survey sampling weights. RESULTS: The survey was initiated by 14 493 participants, with 10 000 completing all survey questions and included in the analysis. The prevalence of depression in the national sample was 6.3% (95% CI 5.7% to 6.8%). A higher odds of depression was associated with living in an urban area (OR 1.50; 95% CI 1.18 to 1.90) and working as a nurse (OR 3.06; 95% CI 1.41 to 6.66). A lower odds of depression was associated with participants who had accurate knowledge of COVID-19 transmission prevention actions (OR 0.71; 95% CI 0.51 to 0.98), the knowledge that saliva is a main transmission route (OR 0.80; 95% CI 0.64 to 0.99) and awareness of COVID-19 symptoms (OR, 0.82; 95% CI 0.68 to 1.00). CONCLUSION: Around one in 20 adults in our online survey sample had a PHQ-9 score suggestive of depression. Interventions and policies to prevent and treat depression during the COVID-19 pandemic in China may be particularly needed for nurses and those living in urban areas. BMJ Publishing Group 2022-03-09 /pmc/articles/PMC8914405/ /pubmed/35264364 http://dx.doi.org/10.1136/bmjopen-2021-056667 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Public Health Liu, Weina Yu, Fengyun Geldsetzer, Pascal Yang, Juntao Wang, Zhuoran Golden, Todd Jiao, Lirui Chen, Qiushi Liu, Haitao Wu, Peixin Wang, Chen Bärnighausen, Till Chen, Simiao Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample |
title | Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample |
title_full | Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample |
title_fullStr | Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample |
title_full_unstemmed | Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample |
title_short | Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample |
title_sort | prevalence of depression in china during the early stage of the covid-19 pandemic: a cross-sectional study in an online survey sample |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914405/ https://www.ncbi.nlm.nih.gov/pubmed/35264364 http://dx.doi.org/10.1136/bmjopen-2021-056667 |
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