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Enhancing Psychological Resilience: Examining the Impact of Managerial Support on Mental Health Outcomes for Saudi Ambulance Personnel.

Ahmed M Al-WathinaniMohannad A AlmusallamNawaf A AlbaqamiMohammed M AljuaidAbdullah A AlghamdiMohammad A AlhallafKrzysztof Goniewicz
Published in: Healthcare (Basel, Switzerland) (2023)
Ambulance personnel are among the groups with high mental health risks. This study aims to investigate the role of managerial support in determining the mental well-being of ambulance personnel, a group at high risk for mental health issues. A descriptive, cross-sectional survey design was conducted in Riyadh, Saudi Arabia, in February 2022, involving a convenience sample of 354 ambulance personnel. An online survey was distributed via social media platforms. Manager behavior and mental well-being were assessed using the Manager Behavior Questionnaire (MBQ) and the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS). The participants represented nearly equal-sized groups from different agencies, with 50.3% residing in the Riyadh Region and 67.5% aged between 25 and 34. The mean score for manager behavior was 2.92 ± 1.124, while the mental well-being scale's mean score was 3.398 ± 0.8219. Variance analyses revealed statistically significant differences in manager behavior concerning gender, age, residence, and years of experience ( p < 0.05), as well as in the mental well-being of ambulance personnel. Generalized linear regression analysis demonstrated a statistically significant relationship between manager behavior and mental well-being ( p < 0.01). Focusing on improving organizational management behaviors is a promising strategy for enhancing mental health interventions among ambulance personnel. Further research is recommended to monitor the mental health of these professionals and develop evidence-based interventions to support their well-being.
Keyphrases
  • mental health
  • saudi arabia
  • social media
  • mental illness
  • cross sectional
  • physical activity
  • emergency medical
  • climate change
  • depressive symptoms
  • data analysis