Evidence map›Paper›PMID 40263530›Full record

ArticleScientific reports2025

Anxiety and depression in healthcare workers 2 years after COVID-19 infection and scale validation.

Lin Zhang, Jingli Wen, Ling Yuan, Youde Yan, Zhenjiang Zhang, Kai Li, Zuoling Tang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lin Zhang *Department of Infectious Diseases, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, Jiangsu, China.
Jingli Wen *Department of Infectious Diseases, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, Jiangsu, China.
Ling Yuan *Department of Infectious Diseases, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, Jiangsu, China.
Youde YanDepartment of Infectious Diseases, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, Jiangsu, China. 19825190088@163.com.
Zhenjiang ZhangDepartment of Infectious Diseases, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, Jiangsu, China. zzj77177@126.com.
Kai LiDepartment of Infectious Diseases, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, Jiangsu, China.
Zuoling TangDepartment of Infectious Diseases, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian, Jiangsu, China.

Funding

Suqian Sci&Tech Program SY202215
6 · The paper itself

Abstract

This study aims to assess the levels of anxiety and depression among healthcare workers two years post COVID-19 infection and to validate the reliability and validity of the PHQ-9 and GAD-7 scales in this population. This cross-sectional study was conducted in June 2024 using a simple random sampling approach to survey healthcare institution workers. A total of 1038 valid samples were collected, and anxiety and depression levels were assessed using the PHQ-9 and GAD-7 scales. Participants included healthcare workers such as doctors, nurses, administrative staff, and students. Data analysis included descriptive statistics, correlation analysis, univariate, and multivariate analyses to explore the effects of variables such as occupation and gender on anxiety and depression. Long COVID was reported in 50.8% of participants. Occupational categories significantly influenced anxiety and depression levels: compared to students (reference group), doctors, nurses, and administrative staff exhibited significantly lower scores. Non-long COVID participants showed significantly lower anxiety and depression scores than those with long COVID. Additionally, the PHQ-9 and GAD-7 scales demonstrated high reliability and validity among COVID-19 population. Two years after COVID-19 infection, anxiety and depression levels among healthcare institution workers remain significantly influenced by occupational category and long COVID status. For healthcare workers, particularly those with long COVID and student groups, policymakers and healthcare administrators should consider optimizing mental health support systems. This includes implementing regular mental health screenings, providing personalized psychological interventions, offering counseling services, reducing work-related stress, and promoting the use of mental health assessment tools to improve the psychological well-being of this population.

Indexed as

AnxietyCOVID-19DepressionHealth PersonnelAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedReproducibility of ResultsSARS-CoV-2Surveys and QuestionnairesYoung AdultAnxietyDepressionHealthcare workersReliability and validity testingTwo years post-COVID-19 infection

Identifiers

PMID40263530
PMCPMC12015455

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.