Evidence map›Paper›PMID 41514333›Full record

ArticleBMC nursing2026

Association between obsessive-compulsive symptoms and job performance among hospital nurses: a cross-sectional study.

Zahra Kavosi, Khosro Keshavarz, Jamshid Bahmaei, Ali Reza Yusefi

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Article in BMC nursing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zahra KavosiHealth Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Khosro KeshavarzHealth Human Resources Research Center, School of Health Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Jamshid BahmaeiDepartment of Public Health, Behbahan Faculty of Medical Sciences, Behbahan, Iran.
Ali Reza YusefiStudent Research Committee, Sirjan School of Medical Sciences, Sirjan, Iran. alirezayusefi67@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionObsessive-compulsive (OC) symptoms may influence occupational functioning, particularly in demanding healthcare environments. Understanding the extent to which these symptoms are associated with job performance is essential for supporting the well-being and productivity of hospital nurses. This study aimed to investigate the association between OC symptoms and their subdimensions with job performance among hospital nurses.

methodsThis descriptive-analytical cross-sectional study was conducted in 2024 among 340 nurses working in public hospitals in southern Iran. Participants were selected using stratified random sampling. Data were collected using a validated 39-item OC Symptom Scale and the 15-item Job Performance Questionnaire. Pearson correlation and multiple linear regression analyses were performed to assess the relationships and associative strength of OC symptoms in relation to job performance. Demographic variables were also analyzed using t-tests, ANOVA, and Pearson’s r.

resultsThe mean total score of OC symptoms was 84.36 (SD = 15.72), indicating a moderate level. The mean job performance score was 27.84 (SD = 5.26), also within the moderate range. Pearson correlation analysis revealed a significant negative correlation between total OC symptoms and job performance (r = -0.42, p < 0.001). All eight subdimensions of OC symptoms showed significant negative correlations with job performance. A multiple linear regression analysis, adjusted for age, experience, education level, and employment type, indicated that OC symptoms were significantly associated with job performance (F(12, 327) = 12.09, p < 0.001), explaining 30.7% of the variance (Adjusted R² = 0.307), which represents a moderate explanatory power. The effect size, calculated using Cohen’s f², was 0.44, indicating a large effect. The most influential symptom domains showing significant negative associations were checking compulsions (β = -0.22, p < 0.001), impulsive thoughts of harm (β = -0.19, p < 0.001), and ordering compulsions (β = -0.17, p = 0.001). Age, experience, gender, education level, and type of employment also showed significant associations with the main variables (p < 0.05).

conclusionOC symptoms are significantly associated with reduced nurses’ job performance, highlighting the importance of mental health screening and targeted interventions within healthcare settings. Addressing these symptoms through preventive strategies and supportive policies may be linked to improved nurse performance and, in turn, patient care quality. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Mental healthNursesObsessive-compulsive disorderRegression analysisWork performance

Identifiers

PMID41514333
PMCPMC12882169

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LicenceCC BY-NC-ND
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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.