Cited by 83COVID-19 and Mental HealthMaternal Mental Health During Pregnancy and PostpartumMental Health Treatment and Access

Anxiety and depression and its correlates in patients with coronavirus disease 2019 in Wuhan

Nie, Xue-Dan, Wang, Qin, Wang, Min-Nan, Zhao, Shuai, Liu, Lei, Zhu, Yu-Lan, Chen, Hong·2021·International Journal of Psychiatry in Clinical Practice

Abstract

OBJECTIVES: Coronavirus disease 2019 (COVID-19) first broke-out in Wuhan China in December 2019, and spread throughout the entire country within a short time. This cross-sectional study investigated the prevalence of depression and anxiety and associated risk factors were analysed in patients with COVID-19. METHODS: This single-center cross-sectional study focussed on measuring depression and anxiety using self-report scales. Linear regression was used to determine independent predictors for depression and anxiety. RESULTS: A total of 78 patients who were confirmed to have COVID-19 were enrolled in the study. Prevalence of depression and anxiety symptoms were diagnosed in 35.9% and 38.5% of the patients, respectively. Multivariate linear regression analysis found female gender was an independent predictor for higher depression severity index. Having family members who were diagnosed with COVID-19 and family members who died from COVID-19 were independently associated with higher depression severity index and anxiety score. CONCLUSIONS: Patients with COVID-19 especially those who had family members diagnosed with COVID-19 or died from COVID-19 were more susceptible to depression and anxiety than were other patients. Effective strategies should be pursued to improve the mental health of this patient population.Key pointsPatients with COVID-19 showed a significantly high prevalence of depression and anxiety.Female patients were associated with higher risk of depression.Patients with family members diagnosed as COVID-19 or died from this disease were associated with higher risk of depression and anxiety.

Integrity signals

Registry

Crossref · 10.1080/13651501.2020.1791345

Cites

25 of 25 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Nie, X.-D., Wang, Q., Wang, M.-N., Zhao, S., Liu, L., Zhu, Y.-L., & Chen, H.
Affiliations
  • Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
  • Harbin Medical University (CN)
Corresponding author
  • Zhu, Yu-Lan
  • Chen, Hong
Venue
International Journal of Psychiatry in Clinical Practice
Published
2020-07-14
Volume
25
Issue
2
Pages
109-114
ISSN
  • 1365-1501 (ISSN-L)
  • 1471-1788
OpenAlex
W3042283793
Cited by
83
References
25
Citations by year
2025: 3 · 2024: 2 · 2023: 18 · 2022: 27 · 2021: 25 · 2020: 8
FWCI
7.79
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Psychiatry in Clinical Practice (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
Keywords
COVID-19 pandemic, depression, anxiety, patient mental health, prevalence, risk factors, female sex, family members with COVID-19, family bereavement, Wuhan
MeSH terms
COVID-19, Anxiety, China, Cross-Sectional Studies, Depression, Family, Female, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Risk Factors, Sex Factors, Prevalence, Linear Models

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review