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Table 4 Cutoff estimation and AUC comparison between classifiers in adult women

From: Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults

 

Body fat %

BMI (kg/m2)

Waist (cm)

 

Estimated

Reference I

Reference II

Estimated

Overweight

Obesity

Estimated

Reference

NCEP/ATP III

Glucose ≥ 100 mg/dL; n = 3,625

Cutoff

44.0 (43.8, 44.4)

30

35

27.2 (26.8, 27.4)

25

30

91.0 (90.0, 91.0)

80

88

Sensitivity

60.9 (58.8, 63.1)

99.6 (99.1, 100.0)

94.8 (92.9, 96.6)

66.4 (64.1, 68.6)

84.0 (81.0, 87.1)

41.2 (36.8, 45.5)

62.3 (60.9, 66.8)

93.1 (90.9, 95.2)

74.6 (71.1, 78.1)

Specificity

60.9 (58.8, 63.0)

3.8 (3.1, 4.5)

13.3 (12.1, 14.5)

66.4 (64.2, 68.7)

46.1 (44.3, 47.8)

85.2 (84.0, 86.5)

65.6 (60.6, 66.9)

23.8 (22.3, 25.2)

54.0 (52.2, 55.7)

AUC

0.645 (0.620, .669)

0.723a (0.700, 0.745)

0.703b, c (0.679,0.726)

Triglycerides ≥ 150 mg/dL; n = 3,627

Cutoff

43.3 (43.1, 43.5)

30

35

26.2 (26.0, 26.4)

25

30

89.0 (88.0, 89.0)

80

88

Sensitivity

56.0 (54.4, 58.0)

98.6 (97.9, 99.2)

93.2 (91.8, 94.5)

61.0 (59.4, 62.7)

73.8 (71.3, 76.1)

26.7 (24.1, 29.3)

58.4 (56.4, 61.3)

89.1 (87.5, 90.8)

62.2 (59.5, 64.9)

Specificity

56.0 (54.3, 58.0)

4.3 (3.5, 5.1)

14.9 (13.4, 16.3)

61.1 (59.3, 62.8)

49.7 (47.8, 51.9)

85.4 (84.1, 86.8)

60.2 (56.2, 62.0)

26.8 (25.2, 28.6)

55.9 (54.0, 57.9)

AUC

0.584 (0.565, 0.603)

0.652a (0.634, 0.671)

0.633b, c (0.615, 0.651)

HDL < 50 mg/dL; n = 3,614

Cutoff

42.3 (42.0, 42.7)

30

35

25.3 (25.1, 25.5)

25

30

86.0 (86.0, 87.0)

80

88

Sensitivity

56.2 (53.9, 58.4)

97.1 (96.4, 97.7)

88.8 (87.6, 89.9)

57.6 (55.4, 59.6)

60.9 (59.2, 62.5)

20.2 (18.8, 21.7)

60.9 (55.8, 62.0)

81.4 (80.0, 82.8)

53.1 (51.3, 54.8)

Specificity

56.2 (53.9, 58.4)

5.2 (3.4, 7.1)

16.7 (13.8, 19.7)

57.6 (55.4, 59.6)

54.4 (50.2, 58.8)

88.9 (86.2, 91.2)

57.4 (56.4, 61.8)

34.8 (31.0, 38.7)

64.3 (60.4, 68.0)

AUC

0.577 (0.552, 0.602)

0.595a (0.570, 0.619)

0.629b, c (0.604, 0.653)

SBP > 140 or DBP > 90 mmHg; n = 3,613

Cutoff

43.8 (43.5, 44.1)

30

35

26.6 (26.4, 26.9)

25

30

90.0 (89.0, 90.0)

80

88

Sensitivity

58.1 (55.5, 60.1)

98.1 (96.9, 99.1)

91.7 (89.6, 93.8)

60.8 (59.1, 63.1)

78.5 (75.4, 81.8)

34.5 (30.6, 38.3)

58.2 (56.5, 62.4)

89.1 (86.3, 91.7)

66.2 (66.2, 70.4)

Specificity

58.1 (55.5, 60.1)

3.5 (2.9, 4.2)

12.8 (11.7, 14.0)

60.8 (59.1, 63.1)

45.5 (43.8, 47.1)

84.4 (83.1, 85.6)

60.4 (56.2, 62.0)

23.4 (21.9, 24.7)

52.8 (51.0, 54.6)

AUC

0.605 (0.578, 0.625)

0.662a (0.639, 0.684)

0.643b, c (0.613, 0.659)

  1. Sensitivity and Specificity expressed as percentages. Bootstrap percentile 95% confidence intervals in parentheses for optimized cutoff, sensitivity and specificity. Asymptotic normal 95% confidence intervals in parenthesis for the AUC. ap<0.05 BMI vs Body fat AUC bp<0.05 Waist vs Body fat AUC cp<0.05 Waist vs BMI AUC. DBP = Diastolic Blood Pressure; SBP = Systolic Blood Pressure.
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