The impact of physical fitness, social life, and cognitive functions on work ability in middle-aged and older adults.

Aging Lifestyle factors, cognition, structural equation model (SEM) Occupational health Work ability index

Journal

International archives of occupational and environmental health
ISSN: 1432-1246
Titre abrégé: Int Arch Occup Environ Health
Pays: Germany
ID NLM: 7512134

Informations de publication

Date de publication:
05 2023
Historique:
received: 29 08 2022
accepted: 06 12 2022
medline: 10 4 2023
pubmed: 17 12 2022
entrez: 16 12 2022
Statut: ppublish

Résumé

Demographic changes encompass societies to maintain the work ability (WA) of aging workforces. The present study explored the relationship between modifiable lifestyle factors, cognitive functions, and their influence on WA, using a multi-group structural equation approach. Cross-sectional data from 247 middle-aged and 236 older employees from the Dortmund Vital Study were included in this analysis. We proposed a model with three exogenous variables (Physical Fitness, Cognitive Functions, and Social Life), and with WA as the endogenous variable. WA was measured with the Work Ability Index (WAI), which considers job demands and individual physical and mental resources. Multi-group analyses were based on the principles of invariance testing and conducted using robust estimation methods. Results revealed that Social Life outside work had significant positive effects on WA in both, middle-aged and older adults. Physical Fitness had a significant effect on WA only in middle-aged adult, and Cognitive Functions had no significant influence on WA in either group. In older adults, Physical Fitness correlated with Cognitive Functions, whereas in middle-aged adults, Cognitive Functions marginally correlated with Social Life. Our results underline the importance of an active social life outside the workplace for WA, regardless of the employees' age. The influence of Physical Fitness on WA changes with increasing age, indicating the necessity to have a differentiated view of age effects and interacting influencing factors. Our research contributes to the knowledge of how WA could be most effectively promoted in different age groups. gov NCT05155397; https://clinicaltrials.gov/ct2/show/NCT05155397 .

Identifiants

pubmed: 36525080
doi: 10.1007/s00420-022-01943-8
pii: 10.1007/s00420-022-01943-8
pmc: PMC10079745
doi:

Banques de données

ClinicalTrials.gov
['NCT05155397']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

507-520

Subventions

Organisme : Ministerio de Economía y Competitividad
ID : BES-2017-079760

Informations de copyright

© 2022. The Author(s).

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Auteurs

Jennifer A Rieker (JA)

Department of Basic Psychology II, Universidad Nacional de Educación a Distancia, Juan del Rosal, 10, 28040, Madrid, Spain. jrieker@psi.uned.es.

Patrick D Gajewski (PD)

Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.

José Manuel Reales (JM)

Department of Methodology for Behavioral Science, Universidad Nacional de Educación a Distancia, Madrid, Spain.

Soledad Ballesteros (S)

Department of Basic Psychology II, Universidad Nacional de Educación a Distancia, Juan del Rosal, 10, 28040, Madrid, Spain.

Klaus Golka (K)

Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.

Jan G Hengstler (JG)

Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.

Edmund Wascher (E)

Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.

Stephan Getzmann (S)

Leibniz Research Centre for Working Environment and Human Factors (IfADo) at the Technical University of Dortmund, Dortmund, Germany.

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