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Social determinants and predictors of mental health among urban slum dwellers of Haryana: A cross-sectional study.
- Source :
- Indian Journal of Psychiatric Social Work; Jan2024, Vol. 15 Issue 1, p11-16, 6p
- Publication Year :
- 2024
-
Abstract
- Background: Urban slum dwellers face significant challenges, including overcrowded living conditions, inadequate access to basic necessities, and limited socio-economic opportunities, which adversely affect their mental health. Despite the high prevalence of mental health issues in slum populations, there is a dearth of research addressing this aspect of well-being. Aim: This study aimed to investigate the social determinants and predictors of mental health among urban slum dwellers in Rohtak, Haryana, India. Material and Methods: The study employed a cross-sectional design to examine mental health status and predictors among urban slum dwellers in District Rohtak, Haryana. Using simple random sampling, 301 subjects from the slum area were selected, ensuring demographic representation. A socio-demographic data sheet, the Modified Kuppuswamy scale, and the Mithila Mental Health Status Inventory were administered. Results: The findings revealed a moderate level of mental health challenges among urban slum dwellers, with age, gender, education, occupation, family income, and socioeconomic status identified as the strongest predictors of mental health (F = 7.69, p < .001), accounting for 29.9% of the variance. The remaining variance is attributed to variables not included in the study. Conclusion: This study sheds light on the social determinants and predictors of mental health among urban slum dwellers in Rohtak, Haryana, India. The findings underscore the significant impact of socio-demographic factors such as age, gender, education, occupation, family income, and socioeconomic status on mental health status. [ABSTRACT FROM AUTHOR]
- Subjects :
- MENTAL illness risk factors
RISK assessment
CROSS-sectional method
SOCIAL determinants of health
DATA analysis
STATISTICAL sampling
SEX distribution
POVERTY areas
DESCRIPTIVE statistics
AGE distribution
METROPOLITAN areas
STATISTICS
DATA analysis software
REGRESSION analysis
EDUCATIONAL attainment
EMPLOYMENT
SOCIAL classes
Subjects
Details
- Language :
- English
- ISSN :
- 03021610
- Volume :
- 15
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Indian Journal of Psychiatric Social Work
- Publication Type :
- Academic Journal
- Accession number :
- 179523686
- Full Text :
- https://doi.org/10.29120/IJPSW.2024.v15.i1.610