Purpose The purpose of this paper is to explore the association between the quality of prison life and mental health among prisoners and the occurrence of violence. Design/methodology/approach In total, 203 prisoners from Dubrava Correctional Center in Kosovo participated. Data on background characteristics of the prisoners, quality of prison life, mental health symptoms and exposure to physical, psychological and sexual violence were collected through interviewer-administered questionnaires. Data were analyzed using general linear models (GLM) and manual backwards model search with step-wise exclusion. Findings The GLM analysis showed a significant negative association between anxiety symptom load (−1.4), physical violence (−1.5) and psychological violence (−1.9), and quality of prison life. Furthermore, it appeared that prisoners rating of quality of life (QoL) increased with time among prisoners not exposed to violence, while this was not seen among prisoners exposed to violence. Finally, there was an inverse association between the dimensions of respect, fairness, humanity and good staff/prisoner relations, and the proportion of prisoners exposed to violence. Originality/value An environment with higher levels of respect, fairness, humanity and good relations between staff and prisoners was associated with lower levels of violence. Hence, a prison that focuses on promoting QoL and good mental health among prisoners will show lower levels of violence, thereby making the prison a more tolerable place for the prisoners and a better working environment for prison staff.
Aim:The aim of this study is to determine the factors responsible for differences in the prevalence of diabetes mellitus (DM) in subjects of different social class in an urban South Indian population.Materials and Methods:Analyses were based on the cross-sectional data from the Chennai Urban Rural Epidemiology Study of 1989 individuals, aged ≥20 years. Entered in the analyses were information obtained by self-report on (1) household income; (2) family history of diabetes; (3) physical activity; (4) smoking status; (5) alcohol consumption. Biochemical, clinical and anthropometrical measurements were performed and included in the analyses. Social class was classified based on income as low (Rs. <2000) intermediate (Rs. 2000-5000`) and high (Rs. 5000-20000).Results:The prevalence rates of DM were 12.0%, 18.4% and 21.7% in low, intermediate and high social class, respectively (P < 0.001). A significant increase in the risk of diabetes was found with ascending social class (Intermediate class: Odds ratio [OR], 1.7 [confidence interval [CI], 1.2-2.3]; High class: OR, 2.0 [CI-1.4-2.9]). The multivariable adjusted logistic regression analysis revealed that the effect of social class on the risk of diabetes remained significant (P = 0.016) when age, family history of diabetes and blood pressure were included. However, with the inclusion of abdominal obesity in the model, the significant effect of social class disappeared (P = 0.087).Conclusion:An increased prevalence of DM was found in the higher social class in this urban South Indian population, which is explained by obesity.
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