Sudeep Kumar

Abstract

Introduction: We can use lipid accumulation product as a clinical indicator for metabolic syndrome. However, there is few study regarding this, hence we aimed to use lipid accumulation product as clinical marker for predicting metabolic syndrome. Materials and Methods: It is a hospital based study conducted over 640 subjects selected from metabolic syndrome OPD from Subharti Medical College, Meerut. Metabolic syndrome (MS) was defined according to the IDF criteria of MS. LAP can be calculated by using the formula, (waist circumference [cm] ? 65) × (triglyceride [mM/L]) for men, and (waist circumference [cm] ? 58) × (triglyceride [mM/L]) for women. The area under the receiver-operating characteristic curve was calculated for predicting LAP, a better marker. Results: In our study, the prevalence of metabolic syndrome was 19.5%. The prevalence of metabolic syndrome was slightly higher in female (19.93%) as compared to male (19.09%). The area under the curve for LAP showed the highest prediction accuracy than waist to height ratio and BMI with an area under the ROC curve (AUC) of 0.905 and it was significantly higher than waist-to-height ratio (AUC = 0.829) and BMI (AUC = 0.702). Conclusion: In conclusion, we can use LAP as a simple and precise marker for the risk of metabolic syndrome. Keywords: Adiposity, Waist to height ratio, BMI, Lipid accumulation product, Metabolic syndrome.

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Abstract

Introduction: BMI is associated with Vitamin D in pre and postmenopausal women. As the estrogen level decreases during menopause, this promotes hypovitaminosis D. The present study assessed Vitamin D status and found its correlation with BMI in healthy pre- and postmenopausal women. Materials and Methods: This cross-sectional study was conducted on 100 pre-menopausal and 100 postmenopausal women. Blood samples were collected for estimation of Vitamin D by fully automated Chemi Luminescent Immuno Assay. Statistical analyses were done by using Graphpad Prism 6 and Pearson correlation coefficient was computed between Vitamin D and BMI. Results: The mean levels of weight and BMI were increased significantly in post-menopausal women as compared to premenopausal women and the mean level of Vitamin D was decreased significantly in postmenopausal women as compared to premenopausal. In the present study, we observed that the BMI is significantly and negatively correlated with Vitamin D concentration in both pre (r=-0.549) and postmenopausal (r=-0.736) women and it was statistically significant. Conclusion: Vitamin D deficiency is prevalent in pre- and postmenopausal with BMI greater than 25 kg/meter2 and the decrease in Vitamin D was more in postmenopausal women as compared to premenopausal women and the Vitamin D was negatively associated with BMI in both pre and postmenopausal women. Keywords: Postmenopausal, BMI, Vitamin D, Estrogen, Osteoporosis

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