1. The Interplay of Age and Sickness Absence: Insights from a Systematic Literature Review
- Author
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Frost, F, Teoh, K, St-Hilaire, F, Denman, A, Leduc, C, Muñoz, M, Negrini, A, Margheritti, S, Vila Masse, S, Corthésy-Blondin, L, Alessia Negrini, Simona Margheritti, Samantha Vila Masse, Laurent Corthésy-Blondin, Frost, F, Teoh, K, St-Hilaire, F, Denman, A, Leduc, C, Muñoz, M, Negrini, A, Margheritti, S, Vila Masse, S, Corthésy-Blondin, L, Alessia Negrini, Simona Margheritti, Samantha Vila Masse, and Laurent Corthésy-Blondin
- Abstract
Background: The likelihood of being absent from work due to a health disorder may increase in the presence of work-related psychosocial risk factors, such as high job demands, and decrease with protective factors like organizational justice. Additionally, personal characteristics, including age, can influence workers’ risk exposure and overall health. Due to the physiological aging of individuals, the aging workforce is expected to be more susceptible to work disability and, consequently, more prone to sickness absence (SA). However, there’s a lack of consensus on measuring age in SA studies. Therefore, the aim of this study is to understand better the relationship between age and SA when workers are exposed to work- related psychosocial factors. Method: This contribution is part of a larger study on SA prevention. Initially, a systematic literature review was conducted following the PRISMA Checklist to identify longitudinal studies exploring the causal relationship between work-related psychosocial factors and SA. Three online databases (i.e., PsycINFO, Medline, and Web of Science) were searched, and publications from 2012 to 2023 were included. Subsequently, a deeper analysis was undertaken to investigate how age was measured and utilized in the predictive models. Results: The systematic literature review included 31 longitudinal studies. Age in years was exclusively treated as a continuous variable in 23 studies, with the mean and standard deviation values reported in all of them. In four studies, age was solely a categorical variable, with varying age groups identified across articles. Two studies used age both continuously and categorically, depending on the statistical analyses conducted. Age information was absent in two other studies, and 11 studies did not report the age range. In the predictive models, age was mainly a covariate (n=23) with other non-work-related factors (e.g., sex) or an independent variable assessing its direct effect on SA (n=5). Three
- Published
- 2024