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)

From: Deriving an optimal threshold of waist circumference for detecting cardiometabolic risk in sub-Saharan Africa

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

  1. Abbreviations: AUC, area under the curve; BMI, body mass index (kg m2); N, number of participants; WC, waist circumference (cm); WHR, waist hip ratio; WHtR, waist-to-height ratio.
  2. aP-values reported for tests restricted to individuals in which both WC and the anthropometric measure assessed are determined. Data in brackets are 95% confidence intervals.