Evidence map›Paper›PMID 38914969›Full record

ArticleBMC public health2024

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

Nawal Ayyashi, Amira Alshowkan, Emad Shdaifat

Abstract readLetter
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

3 authors.

Nawal AyyashiMaster of Psychiatric and Mental Health Nursing, College of Nursing, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Amira AlshowkanCommunity Nursing Department, College of Nursing, Imam Abdulrahman Bin Faisal University, P.O Box 1982, Dammam, Saudi Arabia. aaalshowkan@iau.edu.sa.
Emad ShdaifatCommunity Nursing Department, College of Nursing, Imam Abdulrahman Bin Faisal University, P.O Box 1982, Dammam, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychosocial 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.

methodsThe 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.

resultsThe 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.

conclusionThe 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.

Indexed as

FacultyLatent Class AnalysisMental HealthWork EngagementAdultBurnout, ProfessionalCross-Sectional StudiesFemaleHumansMaleMiddle AgedSaudi ArabiaSurveys and QuestionnairesFacultyMental healthPsychosocial factorsSaudi ArabiaStructural equation modelingWork engagement

Identifiers

PMID38914969
PMCPMC11197356

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Registered trials

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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.