Projects per year
Abstract
Background: Healthcare professionals work in demanding psychosocial environments that may affect their subjective well-being and, consequently, the performance and sustainability of healthcare systems. Understanding how job demands and job resources are associated with healthcare professionals’ well-being is important for developing or
ganizational strategies that support workforce health and service quality. Methods: A cross-sectional quantitative study was conducted among 566 healthcare professionals in Latvia. Psychosocial work environment factors were assessed using a multidimensional instrument based on the Job Demands–Resources (JD-R) model, while subjective well-being
was measured using the WHO-5 Well-Being Index. A comprehensive multiple-predictor mediation SEM was estimated using the WLSMV estimator. The primary covariate-adjusted model was based on 561 complete cases and simultaneously included all four psychosocial
predictors, Work Engagement and Vitality as the mediator, subjective well-being as the outcome, and age, work experience, and professional position as covariates. Results: The comprehensive model demonstrated good fit. Job Satisfaction and Reward showed significant positive direct and indirect associations with subjective well-being and the strongest
total association. Occupational Distress and Strain showed significant negative indirect and total associations, whereas their direct associations were not statistically significant. Autonomy and Work Control showed a significant positive indirect association and a significant positive total association, while its direct association was not statistically signifi
cant. Organizational Trust and Support demonstrated a positive indirect association but a negative direct association, whereas its total association was not statistically significant, indicating inconsistent mediation. Conclusions: The findings suggest that psychosocial work environment factors are meaningfully associated with subjective well-being among
healthcare professionals. Job Satisfaction and Reward, Autonomy and Work Control, and Occupational Distress and Strain appear to be particularly relevant factors. Work Engagement and Vitality may serve as an indirect pathway linking selected work environment factors to subjective well-being; however, given the cross-sectional design, these findings should be interpreted as statistical associations rather than evidence of causal mediation.
ganizational strategies that support workforce health and service quality. Methods: A cross-sectional quantitative study was conducted among 566 healthcare professionals in Latvia. Psychosocial work environment factors were assessed using a multidimensional instrument based on the Job Demands–Resources (JD-R) model, while subjective well-being
was measured using the WHO-5 Well-Being Index. A comprehensive multiple-predictor mediation SEM was estimated using the WLSMV estimator. The primary covariate-adjusted model was based on 561 complete cases and simultaneously included all four psychosocial
predictors, Work Engagement and Vitality as the mediator, subjective well-being as the outcome, and age, work experience, and professional position as covariates. Results: The comprehensive model demonstrated good fit. Job Satisfaction and Reward showed significant positive direct and indirect associations with subjective well-being and the strongest
total association. Occupational Distress and Strain showed significant negative indirect and total associations, whereas their direct associations were not statistically significant. Autonomy and Work Control showed a significant positive indirect association and a significant positive total association, while its direct association was not statistically signifi
cant. Organizational Trust and Support demonstrated a positive indirect association but a negative direct association, whereas its total association was not statistically significant, indicating inconsistent mediation. Conclusions: The findings suggest that psychosocial work environment factors are meaningfully associated with subjective well-being among
healthcare professionals. Job Satisfaction and Reward, Autonomy and Work Control, and Occupational Distress and Strain appear to be particularly relevant factors. Work Engagement and Vitality may serve as an indirect pathway linking selected work environment factors to subjective well-being; however, given the cross-sectional design, these findings should be interpreted as statistical associations rather than evidence of causal mediation.
| Original language | English |
|---|---|
| Article number | 976 |
| Number of pages | 26 |
| Journal | International Journal of Environmental Research and Public Health |
| Volume | 23 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 28 Jul 2026 |
Keywords*
- psychosocial work environment
- subjective well-being
- healthcare professionals
- structural equation modeling
- mediation analysis
- job demands–resources model
Field of Science
- 5.4 Sociology
- 5.1 Psychology
- 3.3 Health sciences
Publication Type*
- 1.1. Scientific article indexed in Web of Science and/or Scopus database
Fingerprint
Dive into the research topics of 'Work Environment Factors and Subjective Well-Being Among Healthcare Professionals: A Structural Equation Modeling Study with Mediation Analysis'. Together they form a unique fingerprint.Projects
- 1 Finished
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An Integrative Multidimensional Model of Psychosocial Work Environment Factors and Subjective Well-Being among Healthcare Professionals
Nagle, E. (Project leader), Reine, I. (Supervisor) & Ivanovs, A. (Supervisor)
3/10/22 → 30/09/26
Project: Projects not classified elsewhere › PhD project
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