Emotional Wellbeing in Saudi Arabia During the COVID-19 Pandemic: A National Survey.

COVID-19 Saudi Arabia anxiety depression emotional wellbeing

Journal

Risk management and healthcare policy
ISSN: 1179-1594
Titre abrégé: Risk Manag Healthc Policy
Pays: England
ID NLM: 101566264

Informations de publication

Date de publication:
2021
Historique:
received: 01 09 2020
accepted: 21 01 2021
entrez: 19 3 2021
pubmed: 20 3 2021
medline: 20 3 2021
Statut: epublish

Résumé

This study aims to evaluate the overall emotional wellbeing and emotional predictors of the Saudi population during COVID-19. A cross-sectional design was employed; the data were collected by using the Arabic version of the Mental Health Inventory. A total of 5041 participants were successfully recruited over 1 week. The participants scored moderately on Anxiety, Depression, Loss of Behavioral/Emotional Control, General Positive Affect, Emotional Ties, and Life Satisfaction. The results indicated that age, gender, marital status, socioeconomic status, and having chronic health conditions are major predictors of emotional wellbeing during the COVID-19 pandemic. A rehabilitation program should be initiated to restore the community function and the wellbeing of individuals who have been impacted by the COVID-19 pandemic.

Identifiants

pubmed: 33737847
doi: 10.2147/RMHP.S279716
pii: 279716
pmc: PMC7966358
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1065-1072

Informations de copyright

© 2021 Al Mutair et al.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest in this work.

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Auteurs

Abbas Al Mutair (A)

Research Center, Almoosa Specialist Hospital, Al-Ahsa, Saudi Arabia.
College of Nursing, Princess Norah University, Riyadh, Saudi Arabia.
School of Nursing, Wollongong University, Wollongong, Australia.

Mohammed Alhajji (M)

College of Public Health, Temple University, Philadelphia, PA, USA.

Abbas Shamsan (A)

Research Center, Dr. Sulaiman Al Habib Medical Group, Riyadh, Saudi Arabia.

Classifications MeSH