Evidence map›Paper›PMID 42422677›Full record

ArticleFrontiers in public health2026

Anxiety and depression among healthcare workers during the COVID-19 pandemic in Khujand, Tajikistan.

Jamila Silemonshoeva, Roberta Horth, Zulfiya Tilloeva, Amirzoda Abduholik, Edmond F Maes, Shalkar Adambekov, Alexander J Millman, Dilyara Nabirova

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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jamila Silemonshoeva *Central Asia Advanced Field Epidemiology Training Program, Dushanbe, Tajikistan.
Roberta Horth *Central Asia Advanced Field Epidemiology Training Program, Dushanbe, Tajikistan.
Zulfiya TilloevaState Institution "Municipal Disinfection Station", Dushanbe, Tajikistan.
Amirzoda AbduholikMinistry of Health and Social Protection of Population of the Republic of Tajikistan, Dushanbe, Tajikistan.
Edmond F MaesRollins School of Public Health, Emory University, Atlanta, GA, United States.
Shalkar AdambekovUnited States Centers for Disease Control and Prevention, Central Asia Office, Almaty, Kazakhstan.
Alexander J MillmanUnited States Centers for Disease Control and Prevention, Central Asia Office, Almaty, Kazakhstan.
Dilyara NabirovaCentral Asia Advanced Field Epidemiology Training Program, Dushanbe, Tajikistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic strained healthcare worker (HCW) mental health worldwide. In Tajikistan, limited data on HCW mental health limit understanding of the pandemic's effect on HCWs. We assessed the prevalence of anxiety and depression and examined associated occupational and psychosocial factors among HCWs who provided care during the COVID-19 pandemic from March 2020 to December 2021. Methods: We conducted a cross-sectional survey of HCWs from three hospitals and three polyclinics in Khujand, Tajikistan, during July-August 2022. Participants were asked to recall their experiences from March 2020 through December 2021. Using systematic sampling, 400 HCWs who had provided care to patients with COVID-19 were interviewed in person. Moderate-to-severe anxiety and depression symptoms were assessed using the Hospital Anxiety and Depression Scale (cut-off scores of ≥11). Associations with anxiety and depression were examined using multivariable mixed-effects models adjusting for hospital clustering. Results: Among 400 participants, 69% had depression, 26% anxiety, and 17% both. Most participants were female (82%), nurses (67%), and had more than 10 years of work experience (51%). Anxiety was independently associated with female sex [adjusted prevalence odds ratio (aPOR) = 3.2; 95% confidence interval (CI): 1.5-6.6], work fatigue (aPOR = 2.4; 95% CI: 1.0-5.7), prior COVID-19 (aPOR = 2.2; 95% CI: 1.3-3.9), working ≥12-h shifts vs. less (aPOR = 1.9; 95% CI: 1.1-3.2), and family separation during the pandemic (aPOR = 1.8; 95% CI: 1.0-3.2). Depression was associated with having had severe COVID-19 vs. mild or none (aPOR = 4.0; 95% CI: 1.4-11.8), nurse vs. physician role (aPOR = 3.5; 95% CI: 1.7-7.2), and work-related social avoidance vs. none (aPOR = 1.6; 95% CI: 1.0-2.6). Conclusion: HCWs in Tajikistan experienced a substantial burden of anxiety and depression during the COVID-19 pandemic. These findings were used to inform mental health trainings, screening programs, and workplace interventions including counseling access, respite programs, and improved staffing patterns to support healthcare workers experiencing anxiety and depression.

Indexed as

AnxietyCOVID-19DepressionHealth PersonnelAdultCross-Sectional StudiesFemaleFrontline WorkersHumansMaleMiddle AgedPandemicsPrevalenceSARS-CoV-2TajikistanCOVID-19healthcare workersmental healthpandemicTajikistan

Identifiers

PMID42422677
PMCPMC13342054

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LicenceCC BY
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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.