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Background: Substance abuse, alcohol in particular, is associated with increased risk of diabetes and metabolic syndrome (MS). The relationship between the substance abuse and MS is complex and the literature is sparse. Objectives: The present research was aimed to study the prevalence and predictors of MS among outpatients with substance dependence. Materials and Methods: Patients with substance dependence were recruited from a deaddiction center in North India, who attended outpatient clinic from 1st January, 2010-31st December, 2010. MS was assessed using International Diabetes Federation (IDF) criteria. Results: Out of 250 subjects, 34 (13.6%) of the subjects met the IDF criteria for MS and highest being in alcohol group (21.6%). The commonest abnormality was increased triglycerides (TG; 54%) and increased waist circumference (36.8%). Age, body weight, body mass index, and obesity were significant predictor of MS. Conclusion: MS was highest in subjects with alcohol dependence with the commonest abnormality of TG and blood pressure. Hence, routine screening is advisable in this population to address emerging MS. [ABSTRACT FROM AUTHOR]

Abstract: Purpose: To study the prevalence of metabolic syndrome in patients with bipolar disorder. Material and method: By using purposive random sampling 200 patients with bipolar disorder receiving treatment were evaluated for presence of metabolic syndrome using International Diabetes Federation (IDF) and modified National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III) criteria. Results: Eighty patients fulfilled IDF criteria and 82 patients met NCEP ATP-III criteria for metabolic syndrome. There was significant concordance between these two criteria sets for metabolic syndrome (Kappa value 0.979, p<0.015). Among the individual parameters studied — increased waist circumference (70.1%) was the most common abnormality, followed by increased blood pressure (44.5%) and increased triglycerides levels (42%). Compared to patients without metabolic syndrome, patients with metabolic syndrome had significantly higher body mass index and higher percentage of them (74.4% vs 51.7%) were more than 35years of age. Logistic regression analysis revealed that these two variables significantly predicted metabolic syndrome. Conclusion: Findings of the present study suggest that abdominal obesity is the most common abnormality and metabolic syndrome is best predicted in patients with bipolar disorder by higher age and higher body mass index. [Copyright &y& Elsevier]