Table 3.

Estimates of area under the receiver operating characteristics curve (AUC) of body fat composition measurements for predicting pre-diabetes in the total study sample and stratified by sex

	AUC (95% CI)	Difference in AUC (95% CI)	P value
Total sample
Body mass index	0.611 (0.576, 0.646)	0.00 (reference)	–
Waist-to-hip ratio	0.606 (0.570, 0.642)	−0.005 (−0.049, 0.039)	0.832
Total body fat mass	0.603 (0.568, 0.638)	−0.008 (−0.026, 0.010)	0.400
Android fat	0.646 (0.612, 0.680)	0.035 (0.014, 0.055)	0.001
Gynoid fat	0.545 (0.509, 0.581)	−0.066 (−0.094, −0.038)	<0.001
Android-to-gynoid fat ratio	0.647 (0.613, 0.682)	0.036 (−0.003, 0.075)	0.069
Visceral adipose tissue	0.680 (0.646, 0.714)	0.069 (0.037, 0.100)	<0.001
Males
Body mass index	0.592 (0.542, 0.642)	0.00 (reference)	–
Waist-to-hip ratio	0.620 (0.570, 0.670)	0.028 (−0.020, 0.077)	0.253
Total body fat mass	0.610 (0.561, 0.659)	0.018 (−0.009, 0.046)	0.187
Android fat	0.632 (0.584, 0.681)	0.041 (0.013, 0.069)	0.004
Gynoid fat	0.573 (0.523, 0.624)	−0.018 (−0.054, 0.018)	0.319
Android-to-gynoid fat ratio	0.640 (0.591, 0.689)	0.048 (−0.002, 0.098)	0.059
Visceral adipose tissue	0.694 (0.646, 0.741)	0.102 (0.063, 0.141)	<0.001
Females
Body mass index	0.628 (0.579, 0.678)	0.00 (reference)	–
Waist-to-hip ratio	0.597 (0.545, 0.648)	−0.032 (−0.098, 0.035)	0.353
Total body fat mass	0.616 (0.566, 0.666)	−0.012 (−0.034, 0.010)	0.289
Android fat	0.651 (0.602, 0.699)	0.023 (−0.005, 0.050)	0.108
Gynoid fat	0.561 (0.509, 0.613)	−0.068 (−0.104, −0.032)	<0.001
Android-to-gynoid fat ratio	0.674 (0.624, 0.723)	0.046 (−0.007, 0.098)	0.087
Visceral adipose tissue	0.684 (0.636, 0.731)	0.056 (0.015, 0.096)	0.007