Cumulative probabilities for metabolic syndrome using multiple body composition indices

TL;DRAbstract

The purpose of this study was to establish cumulative probabilities for metabolic syndrome (3 of 5 National Heart, Lung, and Blood Institute criteria) using multiple body composition indices. Baseline data from a larger study evaluating weight loss interventions in overweight/obese military service members was used for analyses. Subjects were overweight/obese males and females (n=109), ages 21–58 years, and currently serving in the military service. Body composition (lean body mass and body fat) of the whole body was measured using a linear fan beam dual energy X-ray densitometer (DEXA) (Windows XP version software, Hologic, DISCOVERY-Wi, Bedford, MA). Waist circumference, HDL cholesterol, triglycerides, fasting glucose, and blood pressure were also measured. Logistic regression analyses were performed to establish body composition reference values at 50% and 75% cumulative probabilities for metabolic syndrome. The reference value at 50% probability for metabolic syndrome using lean bo

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