Citation

Ayyashi N, Alshowkan A, Shdaifat E. BMC Public Health 2024; 24(1): e1676.

Copyright

(Copyright © 2024, Holtzbrinck Springer Nature Publishing Group - BMC)

DOI

10.1186/s12889-024-19114-4

PMID

38914969

Abstract

BACKGROUND: Psychosocial hazards in the workplace were identified as a considerable risk to employee mental health as well as their general well-being. Few studies were found to examine its relationship with work engagement and mental health. Thus, this study examines the relationships between psychosocial factors, work engagement, and mental health within the faculty in Saudi Arabia using structural equation modeling.

METHODS: The cross-sectional study was conducted with a sample size of 375 faculty. Data collection was done using a self-administered online survey that included instruments such as the Copenhagen Psychosocial Questionnaire (COPSOQ), Utrecht Work Engagement Scale (UWES), and General Health Questionnaire (GHQ-12). SmartPLS 3 software facilitated data analysis and included the assessment of factors. Structural equation modelling was used to examine the interplay between psychosocial factors, work engagement, and mental health.

RESULTS: The robust measurement model was characterized by high loadings (0.719 to 0.970), Cronbach's alpha (0.595 to 0.933), and composite reliability (0.807 to 0.968). Convergent and discriminant validity were confirmed using AVE and various criteria. The fit of the saturated model was superior. Burnout explained significant variance (0.585) with predictive relevance for all constructs. Notably, the impact of burnout on family conflict and the influence of stress on burnout were found to have significant effect sizes.

CONCLUSION: The study uses structural equation modeling to examine the relationships between psychosocial factors, work engagement, and mental health among faculty in Saudi Arabia. The robust measurement model demonstrated high reliability and validity, while the saturated model demonstrated excellent fit. These findings contribute to our understanding of psychosocial dynamics, work engagement, and overall health among faculty in Saudi Arabia.

Language: en

Keywords

Humans; Cross-Sectional Studies; Adult; Female; Male; Middle Aged; Surveys and Questionnaires; Mental health; Structural equation modeling; Saudi Arabia; Psychosocial factors; Faculty; *Faculty/psychology/statistics & numerical data; *Latent Class Analysis; *Mental Health/statistics & numerical data; *Work Engagement; Burnout, Professional/psychology/epidemiology; Saudi Arabia/epidemiology; Work engagement