Tripathy Snehasish, Behera Deepanjali, Negi Sapna, Tripathy Ipsita, Behera Manas R
Department of Preventive Oncology, Homi Bhaba Cancer Hospital and Research Centre, Muzzafarpur, Tata Memorial Centre, Muzaffarpur, Bihar, India.
School of Public health, KIIT University, Bhubaneswar, India.
Indian J Psychiatry. 2022 May-Jun;64(3):295-300. doi: 10.4103/indianjpsychiatry.indianjpsychiatry_668_21. Epub 2022 Jun 8.
Mental illness disproportionately affects the physical, psychological, and social well-being of prisoners worldwide at a far higher rate than the general population. Depression is one of the common mental illnesses. However, in low- and middle-income countries, relatively little research has been undertaken to assess the prevalence and the factors that contribute to depression among prisoners.
This paper aims to assess the burden and predictors of depression among male inmates in a central jail in Odisha.
This cross-sectional study was conducted among male prisoners in one of the central jails of Odisha. A total of 146 samples were selected using a random sampling method and 105 completed the interview. The socio-demographic characteristics and PHQ-9 scale were used for data collection. Descriptive and inferential statistics were applied for data analysis.
In the overall study sample, 25.7% of inmates were diagnosed with moderately severe depression, and 27.6% were diagnosed with severe depression. Binary logistic regression showed that higher education, being accused of a crime, and having low social support are all significant predictors of depression in prisoners.
The study emphasizes the significance of understanding the role of social support in prison and assisting policymakers in developing policies that make it more inmate-oriented, resulting in increased prisoner mental well-being and health.
精神疾病对全球囚犯的身体、心理和社会福祉造成的影响比例失调，其发生率远高于普通人群。抑郁症是常见的精神疾病之一。然而，在低收入和中等收入国家，针对囚犯中抑郁症的患病率及其影响因素的研究相对较少。
本文旨在评估奥里萨邦一所中央监狱男性囚犯中抑郁症的负担及预测因素。
这项横断面研究在奥里萨邦一所中央监狱的男性囚犯中开展。采用随机抽样方法选取了146个样本，其中105人完成了访谈。通过社会人口学特征和PHQ - 9量表收集数据。运用描述性和推断性统计方法进行数据分析。
在整个研究样本中，25.7%的囚犯被诊断为中度严重抑郁症，27.6%被诊断为重度抑郁症。二元逻辑回归显示，较高的教育水平、被指控犯罪以及社会支持较低都是囚犯患抑郁症的显著预测因素。
该研究强调了理解社会支持在监狱中的作用以及协助政策制定者制定更以囚犯为导向的政策的重要性，这将提高囚犯的心理健康水平。
