Evidence map›Paper›PMID 39927216›Full record

ArticleFrontiers in psychology2025

Psychosocial well-being index and sick leave in the workplace: a structural equation modeling of Wittyfit data.

Rémi Colin-Chevalier, Bruno Pereira, Samuel Dewavrin, Thomas Cornet, Julien Steven Baker, Frédéric Dutheil

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02596737 (WittyFit - Live Your Work Differently), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02596737 naunknown statusnot on this map

WittyFit - Live Your Work Differently

TypeinterventionalSponsorUniversity Hospital, Clermont-FerrandRan2015 to 2018Enrolled100ConditionsMortalityArmswittyFit concept
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rémi Colin-ChevalierCNRS, LaPSCo, Physiological and Psychosocial Stress, Occupational and Environmental Medicine, CHU Clermont-Ferrand, Université Clermont Auvergne, Clermont-Ferrand, France.
Bruno PereiraBiostatistics Unit, DRCI, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Samuel DewavrinCegid, Lyon, France.
Thomas CornetCegid, Lyon, France.
Julien Steven BakerCentre for Health and Exercise Science Research, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Frédéric DutheilCNRS, LaPSCo, Physiological and Psychosocial Stress, Occupational and Environmental Medicine, CHU Clermont-Ferrand, Université Clermont Auvergne, Clermont-Ferrand, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psychosocial well-being, which assesses emotional, psychological, social, and collective well-being, could help measure risk and duration of sick leave in workers. Objective: This 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. Methods: Data 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. Results: A 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 ( Conclusion: The 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 registration: Clinicaltrials.gov, identifier NCT02596737.

Indexed as

psychosocial factorspsychosocial well-beingsick leavestructural equation modelingWittyfit

Identifiers

PMID39927216
PMCPMC11802550

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.