Towards Understanding Collective Distress: A Study of Distressed Communities in Vidarbha, India

Jacquleen Joseph, S. Jaswal
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Abstract

Agrarian crisis and farmer's suicide is a serious concern in many countries across the world, including India, which has the largest body of small farmers. Though large regions are identified as highly distressed, research has been limited to individual suicidal behavior. Exploration among the general population to understand context-specific factors contributing to collective distress have been almost non-existent and this paper addresses this gap. In this study, the authors conceptualize and test a psychosocial framework using structural equation models to identify factors contributing to distress. A systematic random sampling technique was used to sample 10,402 respondents from 320 vulnerable villages in six districts of Vidarbha. The analysis identifies stressors as a domain that increases distress. The protective factors’ role in moderating distress was minimal. The individual social status characteristics had a significant contribution in explaining the variation in distress. The study provides a road map for future research to establish broad social characteristics that determine distress and enable informed policy formulation and practice.
走向理解集体痛苦:印度维达尔巴的贫困社区研究
土地危机和农民自杀在世界上许多国家都是一个严重的问题,包括拥有最大小农群体的印度。虽然大部分地区被确定为高度痛苦,但研究仅限于个人自杀行为。在普通人群中探索,了解导致集体痛苦的特定环境因素几乎不存在,本文解决了这一差距。在这项研究中,作者概念化并测试了一个社会心理框架,使用结构方程模型来确定导致痛苦的因素。采用系统随机抽样技术,对维达尔巴省6个区320个脆弱村庄的10402名回答者进行了抽样调查。该分析将压力源确定为增加痛苦的一个领域。保护因素在缓解痛苦方面的作用微乎其微。个体的社会地位特征在解释痛苦程度的变化方面起着重要作用。该研究为未来的研究提供了路线图,以建立确定痛苦的广泛社会特征,并使明智的政策制定和实践成为可能。
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