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Socio Demographic and Clinical Profile of Psychiatric Cases Reported at Malla Reddy Institute of Medical Sciences, Hyderabad, Telangana

Year: 2025
Type: article
Study design: Observational Study
Abstract: Mental health disorders are a significant global health concern, affecting approximately 13% of the population. In India, the burden of mental illness is substantial, with a prevalence of around 197.3 million affected individuals. Telangana, a state in southern India, experiences a high incidence of anxiety and depressive disorders. Understanding the socio-demographic and clinical factors contributing to mental illness in these regions is crucial for improving healthcare delivery and intervention strategies. A prospective, cross-sectional study was conducted between October 1, 2022, and March 31, 2023, including 100 patients attending the psychiatry outpatient department. Data were collected using a pre-structured questionnaire, assessing socio-demographic factors, clinical details, and stress levels using the Holmes and Rahe Stress Scale. The study population consisted of 48 males and 55 females, with a majority (69%) residing in urban areas. The highest prevalence of mental illness was found in individuals aged 31-50 years (51%). Anxiety disorders (26%), depression (15%), alcohol dependence (15%) and schizophrenia affecting (12%), were the most common psychiatric conditions. Socio-demographic factors such as lower educational attainment, unemployment, and lower socio-economic status were associated with a higher risk of mental health disorders. The stress index indicated that 73% of participants were at moderate to high risk for mental health issues, highlighting the significant role of stress in mental illness development. Socio-demographic factors along with high stress levels were found to contribute significantly to the prevalence of mental health disorders in the study population. These findings emphasize the need for targeted mental health interventions addressing these risk factors. Further research is needed to explore the causal relationships and regional variations in psychiatric disorders to inform more effective mental health policies and practices.
Language: English
Field: Psychology
Open Access status: hybrid
OpenAlex ID: W4414519525
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