Assessing cardiometabolic risk in middle-aged adults using body mass index and waist–height ratio: are two indices better than one? A cross-sectional study

Millar, Seán R.; Perry, Ivan J.; Phillips, Catherine M.

doi:10.1186/s13098-015-0069-5

Table 4 Area under the receiver operating characteristic curve values (95 % CI) for index models to discriminate cardiometabolic risk features

From: Assessing cardiometabolic risk in middle-aged adults using body mass index and waist–height ratio: are two indices better than one? A cross-sectional study

Feature	As a continuous variable						As a categorical variable (tertiles)				Overweight and obese by either or both^a
	BMI alone		WHtR alone		Both BMI and WHtR		BMI alone		WHtR alone		Overweight and obese by either or both^a
	AUC	95 % CI	AUC	95 % CI	AUC	95 % CI	AUC	95 % CI	AUC	95 % CI	AUC	95 % CI
High triglycerides	0.68	0.65, 0.71	0.71^b	0.68, 0.73	0.71^b	0.68, 0.74	0.68	0.65, 0.71	0.70^d	0.67, 0.73	0.70^d	0.67, 0.73
Low HDL-C	0.67	0.63, 0.70	0.68	0.65, 0.72	0.68	0.65, 0.71	0.66	0.62, 0.69	0.67	0.64, 0.71	0.68^d	0.64, 0.71
Dyslipidaemia	0.68	0.64, 0.73	0.70	0.65, 0.74	0.70	0.65, 0.74	0.69	0.64, 0.73	0.69	0.65, 0.73	0.70	0.66, 0.74
High BP	0.70	0.67, 0.72	0.70	0.67, 0.72	0.70	0.68, 0.72	0.69	0.67, 0.72	0.69	0.67, 0.71	0.70	0.67, 0.72
Insulin resistance	0.80	0.78, 0.82	0.80	0.78, 0.83	0.81^b,c	0.79, 0.83	0.78	0.76, 0.80	0.77	0.75, 0.80	0.79^d,e	0.77, 0.82
≥3 metabolic features	0.76	0.73, 0.79	0.78^b	0.75, 0.81	0.78^b	0.75, 0.81	0.75	0.72, 0.78	0.75	0.72, 0.78	0.77^d,e	0.74, 0.80
Pre-diabetes	0.70	0.66, 0.74	0.70	0.66, 0.74	0.70	0.66, 0.74	0.67	0.63, 0.71	0.68	0.64, 0.72	0.69^d	0.65, 0.73
High C3	0.70	0.67, 0.73	0.72^b	0.69, 0.75	0.72^b	0.69, 0.75	0.69	0.66, 0.71	0.70	0.67, 0.73	0.71^d	0.68, 0.73
High CRP	0.69	0.66, 0.72	0.69	0.67, 0.72	0.70^b	0.67, 0.72	0.67	0.64, 0.70	0.68	0.65, 0.71	0.69^d	0.66, 0.72
High IL-6	0.66	0.63, 0.69	0.67	0.64, 0.69	0.67	0.64, 0.69	0.65	0.62, 0.68	0.66	0.63, 0.69	0.66^d	0.63, 0.69
High TNF-α	0.63	0.60, 0.66	0.63	0.60, 0.66	0.63	0.60, 0.66	0.62	0.59, 0.65	0.63	0.61, 0.66	0.63^d	0.60, 0.66
Low adiponectin	0.79	0.77, 0.81	0.79	0.77, 0.81	0.79	0.77, 0.81	0.79	0.77, 0.81	0.79	0.76, 0.81	0.79	0.77, 0.81
High leptin	0.86^c	0.84, 0.87	0.84	0.82, 0.86	0.86^c	0.84, 0.88	0.84^e	0.82, 0.86	0.81	0.79, 0.83	0.84^e	0.82, 0.86
High resistin	0.57	0.54, 0.60	0.56	0.53, 0.59	0.57	0.54, 0.60	0.57	0.54, 0.60	0.56	0.53, 0.59	0.56	0.53, 0.60
High PAI-1	0.61	0.58, 0.64	0.62	0.59, 0.65	0.62	0.59, 0.65	0.62	0.59, 0.64	0.62	0.59, 0.65	0.62	0.59, 0.65
High WBC	0.59	0.56, 0.62	0.61^b	0.58, 0.64	0.63^b,c	0.60, 0.66	0.58	0.55, 0.61	0.60^d	0.57, 0.63	0.59^d	0.56, 0.62

All models include age and gender
^a5-category variable: 1 normal weight by both, 2 overweight by either, 3 overweight by both, 4 obese by either and 5 obese by both. Overweight subjects classified as obese by either index were assigned to the higher category
^bP < 0.05 compared to BMI (continuous)
^cP < 0.05 compared to WHtR (continuous)
^dP < 0.05 compared to BMI (categorical)
^eP < 0.05 compared to WHtR (categorical)

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