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Weight and width: percent fat does not improve association between adiposity and insulin
Author(s) -
Fedewa Michael Ver,
Das Bhibha M.,
Schmidt Michael D.,
Evans Ellen M.
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.1183.10
Subject(s) - waist , medicine , anthropometry , insulin , endocrinology , body mass index , linear regression , obesity , circumference , mathematics , statistics , geometry
The aim of this study was to compare the independent associations of waist circumference (WC), BMI, and DEXA (%FAT) with fasting insulin among college freshmen (N=232; 18.5±0.5y, 69.8% female, 68.1% Caucasian). WC, BMI, and %FAT were 74.0±8.1 cm, 23.2±3.4 kg/m 2 , and 28.4±8.7%, respectively. Insulin (INS) was obtained from conventional clinical methods (M=21.9±22.1 pmol/L) and log transformed to achieve normal distribution. As expected, BMI and WC were moderately associated with %FAT via DEXA (R=.66 and .65, respectively) after controlling for sex. In a sex‐adjusted linear regression model, BMI accounted for 7.1% of the variation in INS ( p <0.001, R=.27). The addition of WC improved the prediction of INS, as explained variance increased by 3.8% ( p <0.05). However, the further addition of %FAT did not significantly improve the prediction of INS (ΔR 2 =1.3%, p >;0.05). Our results suggest that conventional clinical anthropometric measures, BMI and WC, provide adequate predictive value when used to measure the association between adiposity and fasting insulin, and including %FAT does not significantly improve the association with metabolic risk in college freshmen. Grant Support: USDA 2008–55215‐18825