Table 2 Results of the receiver operating characteristics (ROC) curve analyses for identifying optimal anthropometric cut-points for detecting the presence of at least two components of MS (excluding WC) in the derivation data set (N 19 880: men 8055, women 11 825)
Anthropometric variable | AUC | P-valuea for difference in AUC between index and WC | Cut-point | Sensitivity (%) | Specificity (%) | Youden index |
|---|---|---|---|---|---|---|
Overall | ||||||
WC | 0.66 (0.65–0.67) | — | 81.1 (80.4–81.6) | 61 (60–62) | 65 (64–66) | 0.260 |
BMI | 0.63 (0.62–0.64) | <0.001 | 24.8 (23.9–25.6) | 51 (50–52) | 70 (70–71) | 0.214 |
WHR | 0.56 (0.55–0.57) | <0.001 | 0.87 (0.85–0.89) | 51 (50–53) | 59 (58–60) | 0.103 |
WHtR | 0.65 (0.64–0.66) | 0.277 | 0.51 (0.49–0.53) | 53 (52–55) | 70 (69–71) | 0.234 |
Men | ||||||
WC | 0.66 (0.65–0.68) | — | 81.2 (78.5–83.8) | 53 (51–55) | 73 (72–74) | 0.258 |
BMI | 0.64 (0.62–0.65) | <0.001 | 23.2 (22.1–24.3) | 48 (46–50) | 74 (73–76) | (0.220 |
WHR | 0.59 (0.58–0.60) | <0.001 | 0.88 (0.85–0.90) | 62 (60–64) | 53 (51–54) | 0.156 |
WHtR | 0.65 (0.64–0.67) | 0.276 | 0.48 (0.47–0.49) | 58 (56–60) | 66 (65–68) | 0.242 |
Women | ||||||
WC | 0.66 (0.65–0.67) | — | 81.0 (79.2–82.8) | 64 (63–65) | 61 (60–62) | 0.251 |
BMI | 0.62 (0.61–0.63) | <0.001 | 25.1 (23.6–26.6) | 57 (55–58) | 65 (64–66) | 0.193 |
WHR | 0.56 (0.55–0.57) | <0.001 | 0.83 (0.81–0.85) | 62 (60–63) | 49 (48–51) | 0.114 |
WHtR | 0.65 (0.64–0.66) | <0.001 | 0.54 (0.53–0.56) | 54 (53–56) | 69 (68–70) | 0.229 |