Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample. Issue 3 (9th March 2022)
- Record Type:
- Journal Article
- Title:
- Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample. Issue 3 (9th March 2022)
- Main Title:
- Prevalence of depression in China during the early stage of the COVID-19 pandemic: a cross-sectional study in an online survey sample
- Authors:
- 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 - Abstract:
- Abstract : 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 hadAbstract : 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. … (more)
- Is Part Of:
- BMJ open. Volume 12:Issue 3(2022)
- Journal:
- BMJ open
- Issue:
- Volume 12:Issue 3(2022)
- Issue Display:
- Volume 12, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 12
- Issue:
- 3
- Issue Sort Value:
- 2022-0012-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-03-09
- Subjects:
- COVID-19 -- epidemiology -- mental health
Medicine -- Research -- Periodicals
610.72 - Journal URLs:
- http://www.bmj.com/archive ↗
http://bmjopen.bmj.com/ ↗ - DOI:
- 10.1136/bmjopen-2021-056667 ↗
- Languages:
- English
- ISSNs:
- 2044-6055
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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