Introduction: The increasing prevalence of depression has been a major public health concern. Being a marginalized population put the inmates at risk of depression. The main objective of this study was to identify the determinants of depression among the inmates according to the biopsychosocial model. Methods: A cross sectional study involv- ing 460 male inmates was conducted at a medium security prison in Seremban. Only Malaysian adult prisoners who have been convicted and had spent a minimum of three months in the prison were eligible for the study. They were selected using the probability proportional to size using stratified random sampling. Data was collected using validated and pre-tested questionnaire by face-to-face interviews, with depression was measured using the Center for Epidemiologic Studies Depression (CES-D) Scale. The data were analyzed using IBM SPSS version 22 with a p-value less than 0.05 was considered statistically significant. Results: The results showed prevalence of depression were 40.70% (95% CI: 36.21-45.19) with its development being predicted by presence of communicable disease (AOR=2.145, 95% CI: 1.123-4.095), history of childhood abuse (AOR=1.762, 95% CI: 1.045-2.972), sentences of more than 5 years (AOR=3.801, 95% CI: 1.529-9.450), being non-Muslims (AOR=2.261, 95% CI: 1.461-3.497) and perceived stress (AOR=4.007, 95% CI= 2.610-6.151). Conclusions: This study revealed an alarmingly high preva- lence of depression among the male inmates, with stress being the strongest risk factor. Reintegration of the prisoners into the community should be considered as part of the rehabilitation program to ensure continuation of psychiatric care and reduce relapsing.
Diabetes is one of the quickest-growing global health emergencies of the twenty-first century, and data-driven care can improve the quality of diabetes management. We aimed to describe the formation of a 10-year retrospective open cohort of type 2 diabetes patients in Malaysia. We also described the baseline treatment profiles and HbA1c, blood pressure, and lipid control to assess the quality of diabetes care. We used 10 years of cross-sectional audit datasets from the National Diabetes Registry and merged 288,913 patients with the same identifying information into a 10-year open cohort dataset. Treatment targets for HbA1c, blood pressure, LDL-cholesterol, HDL-cholesterol, and triglycerides were based on Malaysian clinical practice guidelines. IBM SPSS Statistics version 23.0 was used, and frequencies and percentages with 95% confidence intervals were reported. In total, 288,913 patients were included, with 62.3% women and 54.1% younger adults. The commonest diabetes treatment modality was oral hypoglycaemic agents (75.9%). Meanwhile, 19.3% of patients had ≥ 3 antihypertensive agents, and 71.2% were on lipid-lowering drugs. Metformin (86.1%), angiotensin-converting enzyme inhibitors (49.6%), and statins (69.2%) were the most prescribed antidiabetic, antihypertensive, and lipid-lowering medications, respectively. The mean HbA1c was 7.96 ± 2.11, and 31.2% had HbA1c > 8.5%. Only 35.8% and 35.2% attained blood pressure