Prediction of type 2 diabetes using alternate anthropometric measures in a multi-ethnic cohort: the insulin resistance atherosclerosis study.
OBJECTIVE
To compare different anthropometric measures in terms of their ability to predict type 2 diabetes and to determine whether predictive ability was modified by ethnicity.


METHODS
Anthropometry was measured at baseline for 1,073 non-Hispanic white (nHW), African American (AA), and Hispanic (HA) subjects, of whom 146 developed type 2 diabetes after 5.2 years. Logistic regression models were used with areas under the receiver operator characteristic curve (AROCs) comparing the prediction of models.


RESULTS
Waist-to-height ratio (AROC 0.678) was the most predictive measure, followed by BMI (AROC 0.674). Results were similar in nHW and HA subjects, although in AA subjects, central adiposity measures appeared to best predict type 2 diabetes.


CONCLUSIONS
Measures of central and overall adiposity predicted type 2 diabetes to a similar degree, except in AA subjects, for whom results suggested that central measures were more predictive.
MacKay
Meredith F
MF
Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada.
Haffner
Steven M
SM
Wagenknecht
Lynne E
LE
D'Agostino
Ralph B
RB
Hanley
Anthony J G
AJ
D000273:Adipose Tissue / Q000033:anatomy & histology*; D000328:Adult; D000368:Aged; D000886:Anthropometry; D050197:Atherosclerosis / Q000453:epidemiology*; D044383:Black People / Q000706:statistics & numerical data; D015992:Body Mass Index; D049628:Body Size; D015331:Cohort Studies; D003924:Diabetes Mellitus, Type 2 / Q000453:epidemiology*; D005006:Ethnicity / Q000706:statistics & numerical data*; D005500:Follow-Up Studies; D005951:Glucose Tolerance Test; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D007333:Insulin Resistance / Q000502:physiology*; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology; D011237:Predictive Value of Tests; D012885:Skinfold Thickness; D013997:Time Factors; D044465:White People / Q000706:statistics & numerical data; D001741:Black or African American