Table 3.
Best fit in receiver operating characteristic (ROC) analysis of NC, WC and WHR to distinguish categories of body fatness and presence of MetS risk factors by sex in a cohort of predominantly African American college students. *
Risk Factor | Predictive Biomarker | Biomarker Cut-offs (cm) | Sensitivity (TP/(TP+FN)) | Specificity (TN/(TN+FP)) | ROC Best Fit | Selected Biomarker Cut-offs (cm) | |
---|---|---|---|---|---|---|---|
Women (n=68; age 18–25 y) | Body Fatness (lower fat vs. higher fat) | NC | 35.5 | 0.417 | 0.971 | 0.388 | |
WC-MP | 86 | 0.667 | 0.971 | 0.638 | |||
WC-Suprailiac | 88 | 0.750 | 0.829 | 0.579 | |||
WHR-MP | 0.87 | 0.417 | 0.971 | 0.388 | |||
WHR-Suprailiac | 0.87 | 0.542 | 0.800 | 0.342 | |||
MetS Criteria (no positive risk vs. ≥1 risk factor) | NC | 33.5 | 0.580 | 1.000 | 0.580 | ||
WC-MP | 75 | 0.900 | 1.000 | 0.900 | 75 | ||
WC-Suprailiac | 88 | 0.667 | 0.667 | 0.333 | |||
WHR-MP | 0.79 | 0.620 | 0.875 | 0.495 | |||
WHR-Suprailiac | 0.93 | 0.417 | 0.889 | 0.306 | |||
Men (n=41; age 18–25 y) | Body Fatness (lower fat vs. higher fat) | NC | 38.0 | 0.889 | 0.654 | 0.543 | |
WC-MP | 83 | 1.000 | 0.885 | 0.885 | 83 | ||
WC-Suprailiac | 88 | 1.000 | 0.923 | 0.923 | 88 | ||
WHR-MP | 0.88 | 0.778 | 0.962 | 0.739 | |||
WHR-Suprailiac | 0.90 | 0.778 | 0.962 | 0.739 | |||
MetS Criteria (no risk vs. ≥ 1 risk factor) | NC | 41.5 | 0.222 | 0.903 | 0.125 | ||
WC-MP | 92 | 0.571 | 1.000 | 0.571 | |||
WC-Suprailiac | 88 | 0.444 | 0.774 | 0.219 | |||
WHR-MP | 0.88 | 0.500 | 0.962 | 0.462 | |||
WHR-Suprailiac | 0.93 | 0.333 | 0.935 | 0.269 |
FN, false negative; MetS, metabolic syndrome; MP, waist measured at the mid-point, half-way between the lower rib and superior iliac crest; NC, neck circumference; Suprailiac, waist measured at the superior iliac crest; TP, true positive; WC, waist circumference; WHR, waist-hip ratio. A perfect classification prediction method would yield a ROC coordinate of 0,1 (a best fit value of 1.0).