Table 4. Area under the ROC curve, cutoff, sensitivity, and specificity of the adiposity measures/indexes to identify obesity1.
| Variables | Sex | Area under the ROC curve (95%IC) | Cutoff | Sensitivity, % (95%CI) | Specificity, % (95%CI) |
|---|---|---|---|---|---|
| Weight (kg) | Female | 0.89 (0.84, 0.95)* | >69.4 | 91.3 (72.0, 98.9) | 78.1 (69.0, 85.6) |
| Male | 0.87 (0.82, 0.93)* | >72.7 | 100.0 (91.4, 100.0) | 60.0 (49.4, 69.9) | |
| BMI (kg/m2) | Female | 0.96 (0.93, 0.99)* | >29.1 | 90.7 (73.1, 94.9) | 86.7 (76.5, 91.6) |
| Male | 0.96 (0.93, 0.98)* | >28.87 | 87.2 (73.9, 94.3) | 87.6 (80.4, 92.0) | |
| MAC (cm) | Female | 0.92 (0.87, 0.97)* | >33.2 | 86.9 (66.4, 97.2) | 81.9 (73.2, 88.7) |
| Male | 0.90 (0.84, 0.95)* | >33.0 | 85.4 (70.8, 94.4) | 86.2 (77.5, 92.4) | |
| WC (cm) | Female | 0.92 (0.87, 0.97)* | >103.2 | 91.3 (72.0, 98.9) | 81.9 (73.2, 88.7) |
| Male | 0.93 (0.89, 0.97)* | >103.5 | 95.1 (83.5, 99.4) | 78.5 (66.8, 86.3) | |
| WC/H | Female | 0.94 (0.90, 0.98)* | >0.66 | 91.3 (72.0, 98.9) | 83.8 (75.3, 90.3) |
| Male | 0.95 (0.92, 0.98)* | >0.60 | 95.1 (83.5, 99.4) | 79.6 (69.9, 87.2) | |
| TSF (mm) | Female | 0.90 (0.84, 0.96)* | >31.33 | 86.4 (65.1, 97.1) | 82.7 (74.0, 89.4) |
| Male | 0.92 (0.88, 0.97)* | >15.33 | 95.1 (83.5, 99.4) | 77.7 (67.9, 85.3) | |
| ABSI | Female | 0.34 (0.23, 0.45) | - | - | - |
| Male | 0.47 (0.37, 0.57) | - | - | - | |
| Conicity index | Female | 0.66 (0.55, 0.77)* | >1.39 | 78.3 (56.3, 92.5) | 52.4 (42.4, 62.2) |
| Male | 0.71 (0.63, 0.80)* | >1.32 | 97.6 (87.1, 99.9) | 38.7 (28.8, 49.4) | |
| FMBCM (kg) | Female | 0.97 (0.94, 0.94)* | >30.2 | 100.0 (85.2, 100.0) | 86.7 (78.6, 92.5) |
| Male | 0.93 (0.89, 0.97)* | >25.8 | 87.8 (73.8, 95.9) | 87.4 (79.0, 93.3) | |
| FMBCM (%) | Female | 0.94 (0.89, 0.99)* | >43.29 | 91.3 (72.0, 98.9) | 94.3 (88.0, 97.9) |
| Male | 0.91 (0.86, 0.96)* | >30.78 | 87.8 (73.8, 95.9) | 81.1 (71.7, 88.4) | |
| FMIBCM (kg/m2) | Female | 0.99 (0.98, 1.00)* | >12.58 | 100.0 (85.2, 100.0) | 93.3 (86.7, 97.3) |
| Male | 0.96 (0.93, 0.99)* | >8.82 | 92.7 (80.1, 98.5) | 88.4 (80.2, 94.1) | |
| pFM (kg) | Female | 0.95 (0.92, 0.99)* | >28.58 | 95.6 (78.1, 99.9) | 83.8 (75.3, 90.3) |
| Male | 0.95 (0.91, 0.98)* | >24.91 | 92.7 (80.1, 98.5) | 87.1 (78.5, 93.2) | |
| pFM (%) | Female | 0.96 (0.90, 1.00)* | >41.05 | 91.3 (72.0, 98.9) | 93.3 (86.7, 97.3) |
| Male | 0.93 (0.89, 0.98)* | >29.97 | 85.4 (70.8, 94.4) | 87.1 (78.5, 93.2) | |
| pFMI (kg/m2) | Female | 0.98 (0.97, 1.00)* | >12.2 | 95.6 (78.1, 99.9) | 92.4 (85.5, 96.7) |
| Male | 0.97 (0.95, 0.99)* | >8.76 | 92.7 (80.1, 98.5) | 93.5 (86.5, 97.6) |
1FMI by Dual energy X-ray absorptiometry analysis, with FMI>13kg/m2 for women and FMI>9kg/m2 for men [14].
*p ≤ 0.05. ABSI: AUC < 0.50 (it is not possible to define a cutoff). ABSI, a body adiposity index; BMI, body mass index; FMBCM, fat mass body composition monitor; FMIBCM, fat mass index body composition monitor; MAC, mid-arm circumference; pFM, predicted fat mass; pFMI, predicted fat mass index; ROC, receiver operating characteristic; WC, waist circumference; WC/H, waist circumference for height ratio. FMBCM, FMIBCM, pFM and pFMI measures by bioelectrical impedance. pFM by Bellafronte equation [22] and FMBCM by bioelectrical impedance from body composition monitor (Fresenius Medical Care).