Mental health challenges in the Asir region: Assessment of anxiety, depression, and stress in the general population

Mental health disorders such as depression, anxiety, and stress are prevalent in the general population, with various socio-demographic factors potentially influencing their prevalence. This study aimed to assess the prevalence of Depression, Anxiety, and Stress Scale - 21 Items and identify associated risk factors within the general population in Asir, Saudi Arabia. This cross-sectional study, conducted from April 27, 2025, to September 28, 2025, assessed depression, anxiety, and stress using the Depression, Anxiety, and Stress Scale - 21 Items and identified risk factors in the Asir region of Saudi Arabia. Data from 392 participants were collected through an anonymous online survey and analyzed using descriptive statistics and logistic regression. The study included 392 participants, with 55.1% females and 44.9% males. The largest age group was 18 to 30 years (27.3%). Most participants were nonsmokers (84.2%), 46.7% were employed, and 52% had graduate-level education. A majority were married (61.5%), and 32.9% earned <5000 Saudi Arabian Riyal per month. In terms of mental health, 36.5% were classified as normal for depression, 21.7% for anxiety, and 55.4% for stress. Depression was more common in single individuals (odds ratio [OR] = 4.999, P = .011) and those with 3 to 5 children (OR = 2.232, P = .060). Anxiety was higher in divorced/widowed individuals (OR = 3.828, P = .016) and the unemployed (OR = 2.033, P = .017). Stress was more prevalent in single (OR = 6.304, P = .007) and divorced/widowed individuals (OR = 2.994, P = .094), and those with 3 to 5 children (OR = 3.417, P = .030). Females had lower odds of anxiety (OR = 0.543, P = .021). Age, education, smoking, and income showed limited or nonsignificant associations with mental health outcomes. The study found high levels of depression, anxiety, and stress, with unemployment, being single or divorced, and having more children as significant risk factors. These findings highlight the need for targeted mental health interventions, accessible services, stigma reduction, and preventive strategies addressing social and economic influences on mental well-being.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2026-06-26
DOI
https://doi.org/10.1097/md.0000000000049457
Primary Topic
Mental Health Treatment and Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mental health challenges in the Asir region: Assessment of anxiety, depression, and stress in the general population

Kousalya Prabahar, Vasudevan Mani, Lingala Kalyan Viswanath Reddy, Tahani S. Alanazi et al.
Medicine
Mental Health Treatment and Access
article

Mental health challenges in the Asir region: Assessment of anxiety, depression, and stress in the general population

Kousalya Prabahar, Vasudevan Mani, Lingala Kalyan Viswanath Reddy, Tahani S. Alanazi, Geetha Kandasamy, Rajalakshimi Vasudevan, Shada M. Alahmari, Arwa Khaled, Walaa Abu Rukbah, Asma M. Alshahrani, Vanitha Innocent Rani, Rayah Asiri, Ramasubbamma Ramaiah, Abdullah Mushabbab Alahmari, Khalid Orayj
article en

Abstract

Mental health disorders such as depression, anxiety, and stress are prevalent in the general population, with various socio-demographic factors potentially influencing their prevalence. This study aimed to assess the prevalence of Depression, Anxiety, and Stress Scale - 21 Items and identify associated risk factors within the general population in Asir, Saudi Arabia. This cross-sectional study, conducted from April 27, 2025, to September 28, 2025, assessed depression, anxiety, and stress using the Depression, Anxiety, and Stress Scale - 21 Items and identified risk factors in the Asir region of Saudi Arabia. Data from 392 participants were collected through an anonymous online survey and analyzed using descriptive statistics and logistic regression. The study included 392 participants, with 55.1% females and 44.9% males. The largest age group was 18 to 30 years (27.3%). Most participants were nonsmokers (84.2%), 46.7% were employed, and 52% had graduate-level education. A majority were married (61.5%), and 32.9% earned <5000 Saudi Arabian Riyal per month. In terms of mental health, 36.5% were classified as normal for depression, 21.7% for anxiety, and 55.4% for stress. Depression was more common in single individuals (odds ratio [OR] = 4.999, P = .011) and those with 3 to 5 children (OR = 2.232, P = .060). Anxiety was higher in divorced/widowed individuals (OR = 3.828, P = .016) and the unemployed (OR = 2.033, P = .017). Stress was more prevalent in single (OR = 6.304, P = .007) and divorced/widowed individuals (OR = 2.994, P = .094), and those with 3 to 5 children (OR = 3.417, P = .030). Females had lower odds of anxiety (OR = 0.543, P = .021). Age, education, smoking, and income showed limited or nonsignificant associations with mental health outcomes. The study found high levels of depression, anxiety, and stress, with unemployment, being single or divorced, and having more children as significant risk factors. These findings highlight the need for targeted mental health interventions, accessible services, stigma reduction, and preventive strategies addressing social and economic influences on mental well-being.

MedicineVol. 105(26)
Saudi Electronic University (SA), Qassim University (SA), Shaqra University (SA), Riyadh Elm University (SA), Maternity and Children's Hospital (SA), University of Tabuk (SA), King Khalid University (SA)
No poverty
Openalex Percentile: Top 4%
Mental Health Treatment and Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.