Barik Anamitra, Sarkhel Sujit, Basu Saugata, Chowdhury Abhijit, Rai Rajesh Kumar
Society for Health and Demographic Surveillance, Suri, Birbhum, West Bengal, 731101, India.
Niramay TB Sanatorium and Chest Clinic, District Hospital of Birbhum, Suri, Birbhum, West Bengal, 731101, India.
Soc Psychiatry Psychiatr Epidemiol. 2017 Dec;52(12):1495-1500. doi: 10.1007/s00127-017-1447-0. Epub 2017 Oct 11.
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.
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.
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.
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.
印度在减轻精神疾病的高负担方面面临多重挑战。印度农村人口患精神疾病的风险研究不足。本研究旨在了解特定印度农村人口中与可能的精神疾病(PPD)相关的因素。
利用了印度西孟加拉邦健康与人口监测协会比尔布姆人口项目的数据。使用了涵盖31135名年龄≥16岁的受访者(男性15384名,女性15751名)的横断面数据。采用了一般健康问卷-28,并将回答分为三类:心理病例、心理病例状态和正常。应用双变量和多变量有序逻辑回归分析来实现研究目标。
在总人口中,26%的受访者被确定患有PPD。在各自群体中,年龄≥60岁的人、女性、离婚/分居/丧偶者、失业者和未受过正规教育的人、最贫困经济群体的人以及有出售或抵押资产用于医疗支出历史的人,精神病例的患病率较高。
在选定的农村社区中,估计PPD负担较高。在设计测量和应对精神疾病的干预措施时,PPD的社会经济梯度可能会有所帮助。