Background: While global studies demonstrated that features of urban living are associated with the risk of developing mental disorders, there remains a significant knowledge gap surrounding this topic in the Middle East and North Africa region. Aims: This study aims to assess the prevalence, severity, correlates, and treatment of mental disorders in Riyadh City by examining certain aspects of urban living such as exposure to traumatic events, early exposure to urbanization, and seeking treatment. Methods: The Saudi National Mental Health Survey is a community epidemiological survey in a nationally representative sample of citizens aged 15 to 65 in KSA. The World Health Organization Composite International Diagnostic Interview (CIDI 3·0) was used to estimate the 12-month prevalence of common mental disorders. Results: The prevalence of any mental disorder in Riyadh City was 29.2%. The most common disorders were anxiety disorders and mood disorders. Female, young, and previously married respondents were at higher risk for developing mental disorders. Exposure to traumatic events was associated with all types of mental disorders. Only 2.9% of those with any mental disorder sought mental health treatments. Conclusions: We found a high prevalence of mental disorders in Riyadh City that could be attributed to certain features of urban living. These results may point to potential interventions in urban areas that can mitigate the adverse consequences of urban living and promote the salutogenic aspects of cities.
Introduction: Social determinants of health (SDH) influence and modify the risk for mental health disorders. To our knowledge, no study has explored SDH in the context of mental health in Saudi Arabia (SA) using population-based data. This study investigated the association between several SDH and anxiety and mood disorders in SA. Methods: We utilized data from the nationally-representative Saudi National Mental Health Survey (SNMHS) conducted in 2014 to 2016. This study examined associations between personal-level, socioeconomic, physical health, and family environment characteristics and anxiety and mood disorders. Participants were classified as having anxiety-only disorders, mood-only disorders, or comorbidity of both disorders. Multinomial logistic regression models were employed to examine the associations between SDH and anxiety and/or mood disorders, comparing them to participants who had not experienced these disorders. Results: A total of 4,004 participants were included in this analysis; the lifetime prevalence of disorders was: anxiety only (18%), mood only (3.8%), and comorbidity of both (5.3%). Regression models indicated that females, young adults (26–35 years), individuals with a higher level of education, and those who were separated or widowed had higher odds of experiencing anxiety and/or mood disorders. Furthermore, there was a significant and direct association between having physical chronic conditions and all three categories of anxiety and mood disorders. Experiencing Adverse Childhood Events (ACEs) was also associated with a significant risk of developing anxiety and/or mood disorders, with the highest risk associated with physical or sexual abuse, followed by violence and neglect. Conclusion: This study underscores the correlation between several personal-level, socioeconomic, and environmental SDH and anxiety and mood disorders in SA. These findings provide a foundation for future analyses examining the intricate interplay between upstream and downstream SDH in SA. Such research can enhance local scientific knowledge, aid in planning for social services, and inform policy decisions and treatment strategies.