Evidence map›Paper›PMID 42756211›Full record

ArticleFrontiers in psychiatry2026

Shift work, sociodemographic factors, and sleep quality among nurses working in rotating and day shifts: a cross-sectional analysis.

Maaidah M Algamdi, Mashael Hasan Alamrani

Abstract read
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Article in Frontiers in psychiatry, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Maaidah M AlgamdiCommunity and Psychiatric Health Nursing Department, Faculty of Nursing, University of Tabuk, Tabuk, Saudi Arabia.
Mashael Hasan AlamraniNursing Administration and Education Department, Faculty of Nursing, University of Tabuk, Tabuk, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nurses' sleep quality is vital for their health and well-being, especially given their demanding, irregular schedules. This study examined associations between work schedule, shift selection, and sociodemographic factors and sleep quality among nurses in Saudi Arabia. Methods: A self-reported, descriptive cross-sectional study used a two-part questionnaire comprising sociodemographic data and the Pittsburgh Sleep Quality Index (internal consistency α = .824). Chi-square tests and Cramér's V assessed bivariate associations between demographic/workplace variables and sleep quality. Because several candidate predictors (education, experience, age) were severely collinear with the shift-exposure variables (variance inflation factors up to 14) and several subgroups showed near-deterministic relationships with the outcome, a parsimonious multivariable logistic regression adjusted for nationality and marital status, estimated using Firth's penalized (bias-reduced) method, replaced the originally planned partial least squares structural equation modeling mediation analysis, which assumed a temporally implausible causal ordering for cross-sectional data. Results: Of 140 nurses analyzed, 60 (42.9%) reported good sleep quality and 80 (57.1%) reported poor sleep quality. Good sleep quality declined with age (70.0% at 20-24 years to 24.5% at >35 years; χ² (3) = 11.85, p = .008). Work schedule, shift selection, education, experience, department, marital status, and nationality were all significantly associated with sleep quality (all p <.001; Cramér's V 0.42-0.78). After adjustment, nurses on rotating shifts had substantially lower odds of poor sleep quality than those on fixed daytime schedules (OR = 0.02, 95% CI [0.00, 0.10], p <.001), and nurses mandatorily assigned to their shift had lower odds of poor sleep than those who selected their shift voluntarily (OR = 0.14, 95% CI [0.03, 0.61], p = .009). Conclusion: Work schedule and shift selection were the strongest correlates of sleep quality in this sample, but these associations, including the direction of the rotating-shift and mandatory-assignment findings, are cross-sectional and adjusted, not causal, and should be interpreted alongside the severe collinearity among education, experience, age, and shift assignment. Prospective research is needed to clarify these relationships before informing scheduling policy.

Indexed as

cross-sectional associationlogistic regressionnursesPSQIrotating shiftsSaudi Arabiashift worksleep quality

Identifiers

PMID42756211
PMCPMC13582511

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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.