Predictor of Metabolic Syndrome: A community study from Urban Delhi, India
Keywords:
Sunni Muslims, Urban Population, Metabolic SyndromeAbstract
The aim of the present study is to assess and compare the presence of metabolic syndrome using IDF and Modified NCEP ATPIII criteria among Sunni Muslim of Delhi and to determine the optimal cut off values of different parameters for the detection of metabolic syndrome. A total of, 406 individuals (125 men, 281women) aged 35-65 years were recruited. Anthropometric, blood pressure and laboratory investigations were performed following the standard protocols. Receiver operating characteristics (ROC) curves of waist circumference, serum triglycerides, High density lipoprotein cholesterol, systolic and diastolic blood pressure and fasting blood glucose were created for the determination of the metabolic syndrome and the area under curve (AUC) was evaluated to determine the predictive efficiency of each variable of metabolic syndrome. The cut off values of each parameter with corresponding sensitivity, specificity, Youden index and likelihood ratios were estimated.
The overall metabolic syndrome assessed through Modified NCEP ATP III was 75.12% while through IDF criterion it was 75.36%. Majority of the participants were equally identified by both definitions. The metabolic syndrome was higher in women as compare to men using both the criteria. The area under curve (AUC) shows that serum triglycerides have highest predictive ability for metabolic syndrome in modified NCEP ATP III and IDF. The population specific cut off values of different variable to detect metabolic syndrome was formed. Although these result may not apply to rest of Indian population due to multi ethnicity but similar studies with large sample size to find the cut off values of parameter for metabolic syndrome is needed for better detection and prevention.
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