Examining Prison Climate and Mental Health Through the Carceral Lens of Convicts.
Published In: Indian Journal of Health & Wellbeing, 2025, v. 16, n. 3. P. 611 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sandhu, Inderpreet; Malhotra, Rosy 3 of 3
Abstract
Conditions of incarceration have long been central to political and legal debates since prisons emerged as a correctional option. Research indicates that a positive prison climate can improve subjective safety, psychological well-being, quality of life, and reduce recidivism. However, limited literature exists in the Indian context about prevailing prison conditions as perceived by convicts and their link to mental health. To address this gap, the present study examined the association between perceptions of prison climate and mental health among 200 adult male and female convicts lodged in Tihar Prisons, New Delhi. Data collection was done using the Hindi versions of the Prison Climate Questionnaire and Mental Health Continuum-Short Form, translated through a backward-translation method. The data were analysed using Pearson's Product-Moment Correlation Coefficient. The findings showed a significant link between positive perceptions towards prison relationships, basic amenities, meaningful activities, and autonomy with better mental health. The study underscores the importance of addressing inmates' emotional, social, and psychological well-being, thereby contributing to a more effective correctional system and upholding human rights in prisons. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Indian Journal of Health & Wellbeing. 2025/09, Vol. 16, Issue 3, p611
- Document Type:Article
- Subject Area:Law
- Publication Date:2025
- ISSN:2229-5356
- Accession Number:188772335
- Copyright Statement:Copyright of Indian Journal of Health & Wellbeing is the property of Indian Association of Health, Research & Welfare and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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