Safety and Health at Work Vol. 12 Issue 4 2021
Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis (Original article)
Dublin Core
Title
Safety and Health at Work Vol. 12 Issue 4 2021
Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis (Original article)
Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis (Original article)
Subject
Meta-analysis, Nursing, Predictors, Sickness Absenteeism
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 1⁄4 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 1⁄4 1.38; 95% CI: 1.19-1.60). Also, previous sick leave predicted future leaves (OR 1⁄4 3.35; 95% CI: 1.37-8.19). Moreover, experiencing musculoskeletal pain (OR 1⁄4 2.41 95% CI: 1.77-3.27) increased the likelihood of sickness absence with greater odds when it is a back pain (OR 1⁄4 3.05; 95% CI: 1.66e5.62). 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.
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 1⁄4 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 1⁄4 1.38; 95% CI: 1.19-1.60). Also, previous sick leave predicted future leaves (OR 1⁄4 3.35; 95% CI: 1.37-8.19). Moreover, experiencing musculoskeletal pain (OR 1⁄4 2.41 95% CI: 1.77-3.27) increased the likelihood of sickness absence with greater odds when it is a back pain (OR 1⁄4 3.05; 95% CI: 1.66e5.62). 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.
Creator
Basem Gohar, Michel Larivière, Nancy Lightfoot, Céline Larivière, Elizabeth Wenghofer, Behdin Nowrouzi-kia
Publisher
Elsevier Korea LLC
Date
December 2021
Contributor
Sri Wahyuni
Format
PDF
Language
English
Type
Text
Coverage
Safety and Health at Work Vol. 12 Issue 4 2021
Files
Citation
Basem Gohar, Michel Larivière, Nancy Lightfoot, Céline Larivière, Elizabeth Wenghofer, Behdin Nowrouzi-kia, “Safety and Health at Work Vol. 12 Issue 4 2021
Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis (Original article),” Repository Horizon University Indonesia, accessed March 13, 2025, https://repository.horizon.ac.id/items/show/2219.
Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis (Original article),” Repository Horizon University Indonesia, accessed March 13, 2025, https://repository.horizon.ac.id/items/show/2219.