Anamitra Barik1,2, Sujit Sarkhel3, Saugata Basu4, Abhijit Chowdhury1,5, Rajesh Kumar Rai6. 1. Society for Health and Demographic Surveillance, Suri, Birbhum, West Bengal, 731101, India. 2. Niramay TB Sanatorium and Chest Clinic, District Hospital of Birbhum, Suri, Birbhum, West Bengal, 731101, India. 3. Institute of Post Graduate Medical Education and Research (IPGMER), 244, AJC Bose Road, Kolkata, 700 020, India. 4. Department of Psychology, University of Calcutta, 92 APC Road, Kolkata, West Bengal, 700 009, India. 5. Department of Hepatology, School of Digestive and Liver Diseases, Institute of Post Graduate Medical Education and Research (IPGMER), 244, AJC Bose Road, Kolkata, 700 020, India. 6. Society for Health and Demographic Surveillance, Suri, Birbhum, West Bengal, 731101, India. rajesh.iips28@gmail.com.
Abstract
PURPOSE: India faces multiple challenges to mitigate a high burden of psychiatric disorders. The risk of developing psychiatric disorder among the rural Indian population is poorly investigated. This study aims to understand the factors associated with probable psychiatric disorder (PPD) among a select rural Indian population. METHODS: Data from the Birbhum population project of the society for health and demographic surveillance, West Bengal, India, were utilized. Cross-sectional data covering a sample of 31,135 respondents (male 15,384 and female 15,751) aged ≥ 16 years were used. The General Health Questionnaire-28 was administered and the responses were computed into three categories: psychological case, psychological caseness, and normal. Bivariate and multivariate ordered logit regression analyses were applied to attain the study objective. RESULTS: Of the total population, 26% of respondents were identified with PPD. People aged ≥ 60 years, females, divorced/separated/widowed individuals, the unemployed and people with no formal education, individuals from the poorest economic group, and people with a history of selling or mortgaging assets towards their healthcare expenditure had a higher prevalence of psychiatric case within their respective group. CONCLUSIONS: A high burden of PPD was estimated in the select rural community. While designing an intervention for measuring and addressing psychiatric disorders, the socioeconomic gradient of PPD could be helpful.
PURPOSE: India faces multiple challenges to mitigate a high burden of psychiatric disorders. The risk of developing psychiatric disorder among the rural Indian population is poorly investigated. This study aims to understand the factors associated with probable psychiatric disorder (PPD) among a select rural Indian population. METHODS: Data from the Birbhum population project of the society for health and demographic surveillance, West Bengal, India, were utilized. Cross-sectional data covering a sample of 31,135 respondents (male 15,384 and female 15,751) aged ≥ 16 years were used. The General Health Questionnaire-28 was administered and the responses were computed into three categories: psychological case, psychological caseness, and normal. Bivariate and multivariate ordered logit regression analyses were applied to attain the study objective. RESULTS: Of the total population, 26% of respondents were identified with PPD. People aged ≥ 60 years, females, divorced/separated/widowed individuals, the unemployed and people with no formal education, individuals from the poorest economic group, and people with a history of selling or mortgaging assets towards their healthcare expenditure had a higher prevalence of psychiatric case within their respective group. CONCLUSIONS: A high burden of PPD was estimated in the select rural community. While designing an intervention for measuring and addressing psychiatric disorders, the socioeconomic gradient of PPD could be helpful.
Entities:
Keywords:
Asia; General Health Questionnaire; Mental health; Psychiatric disorder; Rural India
Authors: Richard Uwakwe; Christian C Ibeh; Anne Ifeoma Modebe; Emeka Bo; Nkiru Ezeama; Ifeoma Njelita; Cleusa P Ferri; Martin J Prince Journal: J Am Geriatr Soc Date: 2009-08-13 Impact factor: 5.562