Exploring the relationship between psychosocial factors, work engagement, and mental health: a structural equation modeling analysis among faculty in Saudi Arabia

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 betwe...

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Main Authors: Nawal Ayyashi (Author), Amira Alshowkan (Author), Emad Shdaifat (Author)
Format: Book
Published: BMC, 2024-06-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Nawal Ayyashi  |e author 
700 1 0 |a Amira Alshowkan  |e author 
700 1 0 |a Emad Shdaifat  |e author 
245 0 0 |a Exploring the relationship between psychosocial factors, work engagement, and mental health: a structural equation modeling analysis among faculty in Saudi Arabia 
260 |b BMC,   |c 2024-06-01T00:00:00Z. 
500 |a 10.1186/s12889-024-19114-4 
500 |a 1471-2458 
520 |a 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. 
546 |a EN 
690 |a Psychosocial factors 
690 |a Work engagement 
690 |a Mental health 
690 |a Structural equation modeling 
690 |a Faculty 
690 |a Saudi Arabia 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 24, Iss 1, Pp 1-9 (2024) 
787 0 |n https://doi.org/10.1186/s12889-024-19114-4 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/3766e2edc04d4da2bc5f8a8557aab6b1  |z Connect to this object online.