Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis

Background: Sickness absenteeism is an area of concern in nursing and is more concerning given the recent impacts of the COVID-19 pandemic on healthcare. This study is one of two meta-analyses that examined sickness absenteeism in nursing. In this study, we examined demographic, lifestyle, and physi...

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Autores principales:	Basem Gohar, Michel Larivière, Nancy Lightfoot, Céline Larivière, Elizabeth Wenghofer, Behdin Nowrouzi-kia
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Meta-analysis Nursing Predictors Sickness Absenteeism Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/7c5df2690c6e43078d09e90753526a69
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spelling	oai:doaj.org-article:7c5df2690c6e43078d09e90753526a692021-11-30T04:15:35ZDemographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis2093-791110.1016/j.shaw.2021.07.006https://doaj.org/article/7c5df2690c6e43078d09e90753526a692021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2093791121000597https://doaj.org/toc/2093-7911Background: Sickness absenteeism is an area of concern in nursing and is more concerning given the recent impacts of the COVID-19 pandemic on healthcare. This study is one of two meta-analyses that examined sickness absenteeism in nursing. In this study, we examined demographic, lifestyle, and physical health predictors. Methods: We reviewed five databases (CINAHL, ProQuest Allied, ProQuest database theses, PsycINFO, and PubMed) for our search. We registered the systematic review (CRD de-identified) and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Additionally, we used the Population/Intervention/Comparison/Outcome Tool to improve our searches. Results: Following quality testing, 17 articles were used for quantitative synthesis. Female employees were at higher risks of sickness absenteeism than their male counterparts (OR = 1.73; 95% CI: 1.33–2.25). Nursing staff who rated their health as poor had a greater likelihood of experiencing sickness absence (OR = 1.38; 95% CI: 1.19-1.60). Also, previous sick leave predicted future leaves (OR = 3.35; 95% CI: 1.37–8.19). Moreover, experiencing musculoskeletal pain (OR = 2.41 95% CI: 1.77–3.27) increased the likelihood of sickness absence with greater odds when it is a back pain (OR = 3.05; 95% CI: 1.66–5.62). Increased age, physical activity, and sleep were not associated with sick leave. Conclusion: Several variables were statistically associated with the occurrence of sickness absenteeism. One primary concern is the limited research in this area despite alarming rates of sick leave in healthcare. More research is required to identify predictors of sickness absence, and thereby, implement preventative measures.Basem GoharMichel LarivièreNancy LightfootCéline LarivièreElizabeth WenghoferBehdin Nowrouzi-kiaElsevierarticleMeta-analysisNursingPredictorsSickness AbsenteeismPublic aspects of medicineRA1-1270ENSafety and Health at Work, Vol 12, Iss 4, Pp 536-543 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Meta-analysis Nursing Predictors Sickness Absenteeism Public aspects of medicine RA1-1270
spellingShingle	Meta-analysis Nursing Predictors Sickness Absenteeism Public aspects of medicine RA1-1270 Basem Gohar Michel Larivière Nancy Lightfoot Céline Larivière Elizabeth Wenghofer Behdin Nowrouzi-kia Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis
description	Background: Sickness absenteeism is an area of concern in nursing and is more concerning given the recent impacts of the COVID-19 pandemic on healthcare. This study is one of two meta-analyses that examined sickness absenteeism in nursing. In this study, we examined demographic, lifestyle, and physical health predictors. Methods: We reviewed five databases (CINAHL, ProQuest Allied, ProQuest database theses, PsycINFO, and PubMed) for our search. We registered the systematic review (CRD de-identified) and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Additionally, we used the Population/Intervention/Comparison/Outcome Tool to improve our searches. Results: Following quality testing, 17 articles were used for quantitative synthesis. Female employees were at higher risks of sickness absenteeism than their male counterparts (OR = 1.73; 95% CI: 1.33–2.25). Nursing staff who rated their health as poor had a greater likelihood of experiencing sickness absence (OR = 1.38; 95% CI: 1.19-1.60). Also, previous sick leave predicted future leaves (OR = 3.35; 95% CI: 1.37–8.19). Moreover, experiencing musculoskeletal pain (OR = 2.41 95% CI: 1.77–3.27) increased the likelihood of sickness absence with greater odds when it is a back pain (OR = 3.05; 95% CI: 1.66–5.62). Increased age, physical activity, and sleep were not associated with sick leave. Conclusion: Several variables were statistically associated with the occurrence of sickness absenteeism. One primary concern is the limited research in this area despite alarming rates of sick leave in healthcare. More research is required to identify predictors of sickness absence, and thereby, implement preventative measures.
format	article
author	Basem Gohar Michel Larivière Nancy Lightfoot Céline Larivière Elizabeth Wenghofer Behdin Nowrouzi-kia
author_facet	Basem Gohar Michel Larivière Nancy Lightfoot Céline Larivière Elizabeth Wenghofer Behdin Nowrouzi-kia
author_sort	Basem Gohar
title	Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis
title_short	Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis
title_full	Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis
title_fullStr	Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis
title_full_unstemmed	Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis
title_sort	demographic, lifestyle, and physical health predictors of sickness absenteeism in nursing: a meta-analysis
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/7c5df2690c6e43078d09e90753526a69
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Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis

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