Evidence map›Paper›PMID 40890702›Full record

ArticleBMC nursing2025

Prevalence and correlates of depression and anxiety among nursing staff in the post-COVID-19 era: a cross-sectional study from southern Iran.

Seyed Rouhollah Hoseini-Marvast, Ali Jahedi, Razieh Sadat Mousavi-Roknabadi, Najmeh Zarei Jelyani, Mostafa Moqaddas, Seyed Hamdollah Mosavat, Seyedeh Marzieh Farid

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Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Seyed Rouhollah Hoseini-MarvastEmergency Medicine Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Ali JahediStudent Research Committee, Emergency Medicine Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Razieh Sadat Mousavi-RoknabadiDepartment of Community Medicine, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Najmeh Zarei JelyaniEmergency Medicine Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Mostafa MoqaddasEmergency Medicine Department, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Seyed Hamdollah MosavatResearch Center for Traditional Medicine and History of Medicine, Department of Persian Medicine, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Seyedeh Marzieh FaridDepartment of Psychology, Faculty of International Campus, University of Tehran, Tehran, Iran. marzieh.farid@ut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic had a significant negative impact on the mental health of healthcare workers globally, with some studies reporting increase in depression and anxiety rates. While the acute phase of the pandemic has subsided, concerns remain about the long-term psychological effects on frontline staff. This study aimed to assess the prevalence and correlates of depression and anxiety among nursing staff in the post-COVID-19 era.

methodsThis cross-sectional study was conducted between January 2023 and March 2023 among nursing staff at government teaching hospitals affiliated with Shiraz University of Medical Sciences in southern Iran. All nursing staff willing to participate and provide written informed consent were included. Participants completed questionnaires assessing demographics (age, gender, marital status, education level) and using Beck's Depression and Anxiety Inventories. Nurses who had left the workplace or submitted incomplete questionnaires were excluded.

resultsA total of 890 nurses participated. The mean age was 34.89 ± 7.84 years, and 88% were female. The mean depression and anxiety scores were 20.79 ± 13.69 and 22.0 ± 13.38, respectively, with 26.7% exhibiting severe depression and 38.4% experiencing severe anxiety. Stepwise regression analysis revealed significant associations between anxiety scores and psychiatric drug usage (P < 0.001), working hours per week (P < 0.001), department (P = 0.02), and gender (P = 0.028). Similarly, depression scores were significantly correlated with psychiatric drug usage (P < 0.001), working hours per week (P = 0.001), and gender (P = 0.018).

conclusionThe prevalence and severity of anxiety and depression among nursing staff in this post-COVID-19 setting appear elevated compared to pre-pandemic levels/national averages. These findings highlight the need for specific organizational and policy interventions. However, interpretation should consider the crosssectional design, sampling bias, and absence of prepandemic baseline data.

Indexed as

AnxietyCOVID-19DepressionHealthcare workersHealth policyMental healthNursing

Identifiers

PMID40890702
PMCPMC12403273

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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.