Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis

BMC Health Services Research

Research

Katri Vehviläinen-Julkunen¹  Katri Lönnqvist²  Anu-Marja Kaihlanen³  Timo Sinervo³  Marko Elovainio⁴ 

[1] Department of Nursing Science, Faculty of Health Sciences, University of Eastern Finland, P.O. Box 1627, 70211, Kuopio, Finland;Kuopio University Hospital, Puijonlaaksontie 2, 70200, Kuopio, Finland;Doctoral Programme in Population Health, Faculty of Medicine, University of Helsinki, P.O. Box 63, 00014, Helsinki, Finland;Finnish Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland;Finnish Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland;Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, P.O. Box 21, 00014, Helsinki, Finland;

关键词: Organizational justice;    Job demand;    Job control;    Sleep quality;    Early career registered nurse;    Latent profile analysis;   

DOI  :  10.1186/s12913-023-09949-9

 received in 2023-03-10, accepted in 2023-08-22,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundIndividual psychosocial work characteristics have been associated with health and well-being of registered nurses. However, it is yet to be determined whether different types of psychosocial work characteristics form patterned profiles and how these profiles are associated with the health and well-being. The purpose of this study was to identify latent psychosocial work characteristic profiles, including procedural, interactional and distributive justice, job demand and job control, and examine whether the profiles are associated with sleep quality among early career registered nurses.MethodsWe conducted a cross-sectional study comprising 632 early career registered nurses. Data were collected between November and December 2018 using an electronic survey with internationally validated measures including the Organizational Justice Scale, the Nurse Stress Index Scale, the Job Content Questionnaire, and the Sleep Problems Questionnaire. Latent profile analysis was used to identify groups with similar psychosocial work characteristic profiles. Multinomial and linear regression analyses were used to examine the association between latent work characteristics profiles and sleep quality.ResultsAnalysis yielded four profiles. The profiles were named based on the descriptions of classes as high strain/low justice, medium strain/high justice, medium strain/medium justice, and low strain/high justice. The low strain/high justice profile group (p = < 0.001) and the medium strain/high justice profile group (p = 0.002) had statistically significantly better sleep quality compared to the high strain/low justice profile group.ConclusionsHigh procedural and interactional justice may alleviate strain in early career registered nurses and protect them against sleep problems. Promoting organizational justice in early career stages seems an efficient way to enhance registered nurses’ well-being and sleep quality.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

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