Evidence map›Paper›PMID 42245355›Full record

ArticleFrontiers in public health2026

Latent profile analysis of sleep quality and associated factors on sleep patterns in night-shift nurses: a cross-sectional study.

Xin Chu, Juan Lv, Guiling Li, Dawei Wang

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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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xin ChuDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Juan LvDepartment of Obstetrics and Gynecology, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Guiling LiDepartment of Obstetrics and Gynecology, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.
Dawei WangDepartment of Obstetrics, The Affiliated Hospital of Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to investigate the potential categories of sleep quality in shift nurses using latent profile analysis, and to explore the characteristics and associated factors of sleep quality in each category. Methods: Convenience sampling was used to select 1,650 shift nurses from four tertiary A-level hospitals from May to June 2025. Data were collected using the Pittsburgh Sleep Quality Index (PSQI), the sleep chronotype questionnaire, the perceived stress scale, and a general demographic questionnaire. Latent profile analysis was conducted to determine the latent categories of sleep quality. Univariate and multinomial logistic regression analyses were used to investigate the associated factors of different sleep quality categories. A total of 1,650 questionnaires were distributed, of which 1,608 were valid, yielding a valid response rate of 97.5%. Results: The mean PSQI score among shift nurses was 7.23 ± 3.16 points, indicating overall sleep problems within this group. The sleep quality of night-shift nurses was categorized into four latent profiles: "good sleep quality" (44.4%), "moderate sleep quality" (40.7%), "sleep disorder-low sleeping pills" (9.6%), and "sleep disorder-high sleeping pills" (5.3%). A multivariate logistic regression analysis revealed that several factors were significantly associated with these sleep quality profiles. These factors included perceived stress, sleep chronotype, monthly night shifts, weekly working hours, age, and years of nursing experience, and marital status ( Conclusion: The sleep quality of shift-working nurses varies significantly. Nursing administrators should develop tailored management strategies and adopt targeted sleep interventions based on the identified patterns in nurses' sleep quality to improve their overall sleep quality.

Indexed as

Nursing Staff, HospitalShift Work ScheduleSleepSleep QualityWork Schedule ToleranceAdultChronotypeCross-Sectional StudiesFemaleHumansMaleSurveys and Questionnaireslatent profile analysisnurseshift worksleep patternsleep quality

Identifiers

PMID42245355
PMCPMC13230056

What Socratic holds

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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 Socratic graph.