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

IF 2.9 3区 心理学 Q2 PSYCHOLOGY, MULTIDISCIPLINARY Frontiers in Psychology Pub Date : 2025-01-24 eCollection Date: 2025-01-01 DOI:10.3389/fpsyg.2025.1385708
Rémi Colin-Chevalier, Bruno Pereira, Samuel Dewavrin, Thomas Cornet, Julien Steven Baker, Frédéric Dutheil
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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 (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.

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.

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职场心理健康指数与病假:Wittyfit数据的结构方程模型。
背景:社会心理健康,评估情绪、心理、社会和集体福祉,可以帮助衡量工人的病假风险和持续时间。目的:构建基于10个心理社会因素的心理健康指数结构方程模型,并探讨其与病假的关系。方法:收集2018年职工使用Wittyfit的数据。心理社会因素(工作满意度、氛围、认可、工作与生活平衡、意义、工作组织、价值观、工作量、自主性和压力)通过健康相关调查进行自我评估,而病假记录则由志愿者公司提供。结果:共纳入1399名职工(平均年龄:39.4 ± 9.4,平均工龄:9.2 ± 7.7,女性占49.8%,管理人员占12.0%)。旷工率为34.5%,平均病假天数为8.48 ± 28.7 天。结构方程模型促进了工人心理社会幸福感指数的计算(AIC: 123,016.2, BIC: 123,231.2, RMSEA: 0.03)。除工作量(p = 0.9)外,所有因素都有影响,其中意义(β = 0.72,95% CI 0.69-0.74)、价值(0.69,0.67-0.70)和工作满意度(0.64,0.61-0.66)是主要驱动因素(p p p )。结论:心理社会健康指数提供了心理社会健康的衡量标准,有助于预测工作场所的病假。这一新指标可用于分析社会心理健康与其他健康结果之间的关系。临床试验注册:Clinicaltrials.gov,标识符NCT02596737。
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来源期刊
Frontiers in Psychology
Frontiers in Psychology PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
5.30
自引率
13.20%
发文量
7396
审稿时长
14 weeks
期刊介绍: Frontiers in Psychology is the largest journal in its field, publishing rigorously peer-reviewed research across the psychological sciences, from clinical research to cognitive science, from perception to consciousness, from imaging studies to human factors, and from animal cognition to social psychology. Field Chief Editor Axel Cleeremans at the Free University of Brussels is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. The journal publishes the best research across the entire field of psychology. Today, psychological science is becoming increasingly important at all levels of society, from the treatment of clinical disorders to our basic understanding of how the mind works. It is highly interdisciplinary, borrowing questions from philosophy, methods from neuroscience and insights from clinical practice - all in the goal of furthering our grasp of human nature and society, as well as our ability to develop new intervention methods.
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