Psychosocial well-being index and sick leave in the workplace: a structural equation modeling of Wittyfit data
BackgroundPsychosocial well-being, which assesses emotional, psychological, social, and collective well-being, could help measure risk and duration of sick leave in workers.ObjectiveThis study aims to build a structural equation model of a psychosocial well-being index based on 10 psychosocial facto...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1385708/full |
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| author | Rémi Colin-Chevalier Bruno Pereira Samuel Dewavrin Thomas Cornet Julien Steven Baker Frédéric Dutheil |
| author_facet | Rémi Colin-Chevalier Bruno Pereira Samuel Dewavrin Thomas Cornet Julien Steven Baker Frédéric Dutheil |
| author_sort | Rémi Colin-Chevalier |
| collection | DOAJ |
| description | BackgroundPsychosocial well-being, which assesses emotional, psychological, social, and collective well-being, could help measure risk and duration of sick leave in workers.ObjectiveThis study aims to build a structural equation model of a psychosocial well-being index based on 10 psychosocial factors and investigate its association with sick leave.MethodsData of workers using Wittyfit was collected in 2018. Psychosocial factors (job satisfaction, atmosphere, recognition, work-life balance, meaning, work organization, values, workload, autonomy, and stress) were self-assessed using health-related surveys, while sick leave records were provided by volunteer companies.ResultsA total of 1,399 workers were included in the study (mean age: 39.4 ± 9.4, mean seniority: 9.2 ± 7.7, 49.8% of women, 12.0% managers). The prevalence of absenteeism was 34.5%, with an average of 8.48 ± 28.7 days of sick leave per worker. Structural equation modeling facilitated computation of workers’ psychosocial well-being index (AIC: 123,016.2, BIC: 123,231.2, RMSEA: 0.03). All factors, except workload (p = 0.9), were influential, with meaning (β = 0.72, 95% CI 0.69–0.74), values (0.69, 0.67–0.70) and job satisfaction (0.64, 0.61–0.66) being the main drivers (p < 0.001). Overall, psychosocial well-being was found to be a protective factor for sick leave, with a 2% decreased risk (OR = 0.98, 95% CI 0.98–0.99, p < 0.001) and duration (IRR = 0.98, 95% CI 0.97–0.99, p < 0.001) per psychosocial well-being index point.ConclusionThe psychosocial well-being index provides a measure of psychosocial well-being and helps predict sick leave in the workplace. This new indicator could be used to analyze the association between psychosocial well-being and other health outcomes.Clinical trial registrationClinicaltrials.gov, identifier NCT02596737. |
| format | Article |
| id | doaj-art-46189c4abaf14d3aacc0067b7790721e |
| institution | Kabale University |
| issn | 1664-1078 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Psychology |
| spelling | doaj-art-46189c4abaf14d3aacc0067b7790721e2025-01-24T07:13:22ZengFrontiers Media S.A.Frontiers in Psychology1664-10782025-01-011610.3389/fpsyg.2025.13857081385708Psychosocial well-being index and sick leave in the workplace: a structural equation modeling of Wittyfit dataRémi Colin-Chevalier0Bruno Pereira1Samuel Dewavrin2Thomas Cornet3Julien Steven Baker4Frédéric Dutheil5CNRS, LaPSCo, Physiological and Psychosocial Stress, Occupational and Environmental Medicine, CHU Clermont-Ferrand, Université Clermont Auvergne, Clermont-Ferrand, FranceBiostatistics Unit, DRCI, CHU Clermont-Ferrand, Clermont-Ferrand, FranceCegid, Lyon, FranceCegid, Lyon, FranceCentre for Health and Exercise Science Research, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, ChinaCNRS, LaPSCo, Physiological and Psychosocial Stress, Occupational and Environmental Medicine, CHU Clermont-Ferrand, Université Clermont Auvergne, Clermont-Ferrand, FranceBackgroundPsychosocial well-being, which assesses emotional, psychological, social, and collective well-being, could help measure risk and duration of sick leave in workers.ObjectiveThis study aims to build a structural equation model of a psychosocial well-being index based on 10 psychosocial factors and investigate its association with sick leave.MethodsData of workers using Wittyfit was collected in 2018. Psychosocial factors (job satisfaction, atmosphere, recognition, work-life balance, meaning, work organization, values, workload, autonomy, and stress) were self-assessed using health-related surveys, while sick leave records were provided by volunteer companies.ResultsA total of 1,399 workers were included in the study (mean age: 39.4 ± 9.4, mean seniority: 9.2 ± 7.7, 49.8% of women, 12.0% managers). The prevalence of absenteeism was 34.5%, with an average of 8.48 ± 28.7 days of sick leave per worker. Structural equation modeling facilitated computation of workers’ psychosocial well-being index (AIC: 123,016.2, BIC: 123,231.2, RMSEA: 0.03). All factors, except workload (p = 0.9), were influential, with meaning (β = 0.72, 95% CI 0.69–0.74), values (0.69, 0.67–0.70) and job satisfaction (0.64, 0.61–0.66) being the main drivers (p < 0.001). Overall, psychosocial well-being was found to be a protective factor for sick leave, with a 2% decreased risk (OR = 0.98, 95% CI 0.98–0.99, p < 0.001) and duration (IRR = 0.98, 95% CI 0.97–0.99, p < 0.001) per psychosocial well-being index point.ConclusionThe psychosocial well-being index provides a measure of psychosocial well-being and helps predict sick leave in the workplace. This new indicator could be used to analyze the association between psychosocial well-being and other health outcomes.Clinical trial registrationClinicaltrials.gov, identifier NCT02596737.https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1385708/fullpsychosocial factorssick leavestructural equation modelingpsychosocial well-beingWittyfit |
| spellingShingle | Rémi Colin-Chevalier Bruno Pereira Samuel Dewavrin Thomas Cornet Julien Steven Baker Frédéric Dutheil Psychosocial well-being index and sick leave in the workplace: a structural equation modeling of Wittyfit data Frontiers in Psychology psychosocial factors sick leave structural equation modeling psychosocial well-being Wittyfit |
| title | Psychosocial well-being index and sick leave in the workplace: a structural equation modeling of Wittyfit data |
| title_full | Psychosocial well-being index and sick leave in the workplace: a structural equation modeling of Wittyfit data |
| title_fullStr | Psychosocial well-being index and sick leave in the workplace: a structural equation modeling of Wittyfit data |
| title_full_unstemmed | Psychosocial well-being index and sick leave in the workplace: a structural equation modeling of Wittyfit data |
| title_short | Psychosocial well-being index and sick leave in the workplace: a structural equation modeling of Wittyfit data |
| title_sort | psychosocial well being index and sick leave in the workplace a structural equation modeling of wittyfit data |
| topic | psychosocial factors sick leave structural equation modeling psychosocial well-being Wittyfit |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1385708/full |
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