[Predictive ability of anthropometric and body composition indicators in the identification of insulin resistance].
OBJECTIVE
To assess the ability of anthropometric and body composition indicators in identifying insulin resistance (IR), determining cut-off points for those showing the best efficacy.


METHODS
138 men were evaluated. Waist perimeter (WP), sagittal abdominal diameter (SAD), conicity index, body mass index (BMI), body fat percent, sagittal index, and the waist-to-height, waist-to-hip and waist-to-thigh ratios were determined. IR was assessed by the HOMA-IR index. Statistical analysis consisted of Spearman correlation coefficient and ROC (receiver operating characteristic) curves, calculating the area under the curve (AUC).


RESULTS
SAD (r=0.482, AUC=0.746) and WP (r=0.464, AUC=0.739) showed stronger correlations with the HOMA-IR and greater ability to identify IR (p<0.001), being 89.3 cm and 20.0 cm the best cut-offs, respectively.


CONCLUSIONS
The anthropometric indicators of central obesity, WP and SAD, have shown greater ability to identify IR in men. We encourage studies in women and elderly people in search of the best cut-off points for the entire population.
Vasques
Ana Carolina Junqueira
AC
Departamento de nutrição e Saúde, Universidade Federal de Viçosa, Viçosa, MG, Brazil. anacarolinavasques@yahoo.com.br
Rosado
Lina Enriqueta Frandsen Paez de Lima
LE
Rosado
Gilberto Paixão
GP
Ribeiro
Rita de Cassia Lanes
Rde C
Franceschini
Sylvia do Carmo Castro
Sdo C
Geloneze
Bruno
B
Priore
Silvia Eloiza
SE
Oliveira
Dirce Ribeiro de
DR
D000328:Adult; D000886:Anthropometry; D001823:Body Composition / Q000502:physiology*; D003430:Cross-Sectional Studies; D006706:Homeostasis / Q000502:physiology; D006801:Humans; D007333:Insulin Resistance / Q000502:physiology; D008297:Male; D024821:Metabolic Syndrome / Q000097:blood / Q000175:diagnosis*; D008875:Middle Aged; D011237:Predictive Value of Tests; D012372:ROC Curve; D012016:Reference Values; D055105:Waist Circumference; D055815:Young Adult