Table 3.
Area under the receiver operating characteristic curve (and 95% confidence interval) and optimal cut-off values of diagnostic measures of anthropometric indices against Metabolic syndrome stratified by sex.
| Variables | Men | Women | ||||||
|---|---|---|---|---|---|---|---|---|
| WHtR | WC (cm) | BMI (kg/m2) | WHR | WHtR | WC (cm) | BMI (kg/m2) | WHR | |
| AUC (95% CI) | 0.74(0.73–0.75) | 0.77(0.76–0.78) | 74.1(73.0–75.8) | 0.71(0.70–0.72) | 0.62 (0.60–0.63) | 62.5 (60.0–64.1) | 62.3 (60.8–63.8) | 0.53 (0.52–0.54) |
| Cut-off | 0.66 | 94.8 | 27 | 0.94 | 0.56 | 98.7 | 28.2 | 0.95 |
| Sen (%) (95% CI) | 73.5 (71.2–74.4) | 87.1(85.9–88.3) | 62.6 (60.1–64.8) | 70.4 (68.4–73.5) | 73.4 (69.4–77.5) | 57.0 (55.2–59.0) | 62.2 (60.1–64.2) | 71.8 (70.3–73.5) |
| Spc (%) (95% CI) | 69.2 (68.5–77.6) | 61.5 (69.0–52.1) | 70.3 (68.5–43.1) | 61.3 (58.3–64.3) | 65.3 (63.6–67.1) | 58.1(56.1–59.1) | 56.4 (54.8–58.3) | 42.7 (37.3–45.3) |
| LR + (95% CI) | 2.29 (2.17–2.32) | 2.3 (2.16–2.39) | 2.10 (1.91–2.21) | 1.81 (1.41–2.11) | 2.0 (1.84–2.17) | 1.40 (1.34–1.55) | 1.40 (1.21–1.59) | 1.2 (1.02–1.41) |
| LR-(95% CI) | 0.5 (0.48–0.55) | 0.22 (0.14–0.26) | 0.53 (0.49–0.57) | 0.48 (0.40–0.52) | 0.41 (0.32–0.49) | 0.8 (0.72–0.91) | 0.70 (0.68–0.72) | 0.65 (0.50–0.73) |
| PPV(95% CI) | 60.1(56.0–64.0) | 64.1 (61.1–67.0) | 63.4 (60.4–66.7) | 48.6 (46.9–50.3) | 53.7 (51.6–55.8) | 53.6 (51.2–56.0) | 53.6 (51.5–55.7) | 46.2 (44.8–47.6) |
| NPV(95% CI) | 64.7 (63.2–66.1) | 68.8 (67.3–70.3) | 68.3 (66.7–69.7) | 83.9 (82.0–85.8) | 62.2 (60.5–64.0) | 59.7 (58.1–61.3) | 61.7 (59.9–63.4) | 83.4 (78.6–87.5) |
| Corrected classified | 71.9 | 70.9 | 67.3 | 61.5 | 68.2 | 57.9 | 58.3 | 55.7 |
AUC area under the ROC curve, Sen sensitivity, Spc specificity, LR likelihood ratios, PPV positive predictive value, NPV negative predictive value, WC waist circumference, BMI body mass index, WHR waist to hip ratio, WHtR waist to height ratio.
There is no significant difference among AUCs (df = 3) = 130, P = < 0.001, (df = 3) = 336, P = < 0.001 in men and women respectively. Data are AUC (95% confidence interval).