TY - JOUR
T1 - Simple anthropometrics are more correlated with health variables than are estimates of body composition in Yup'ik people
AU - Bray, Maria
AU - Pomeroy, Jeremy
AU - Knowler, William C.
AU - Bersamin, Andrea
AU - Hopkins, Scarlett
AU - Brage, Soren
AU - Stanhope, Kimber
AU - Havel, Peter J.
AU - Boyer, Bert B.
PY - 2013/9
Y1 - 2013/9
N2 - Objectives To (1) evaluate the relationships between several indices of obesity with obesity-related risk factors; (2) compare the accuracy of body composition estimates derived from anthropometry and bioimpedance analysis (BIA) to estimates of body composition assessed by doubly-labeled water (DLW); and (3) establish equations for estimating fat mass (FM), fat-free mass (FFM), and percent body fat (PBF) in Yup'ik people. Design and Methods Participants included 1,056 adult Yup'ik people from 11 communities in Southwestern Alaska. In a sub-study of 30 participants, we developed population-specific linear regression models for estimating FM, FFM, and PBF from anthropometrics, age, sex, and BIA against criterion measures derived from total body water assessed with DLW. These models were then used with the population cohort and we analyzed the relationships between obesity indices and several health-related and disease status variables: (1) fasting plasma lipids, (2) glucose, (3) HbA1c, (4) adiponectin, (5) blood pressure, (6) diabetes (DM), and (7) cerebrocoronary vascular disease (CCVD) which includes stroke and heart disease. Results The best model for estimating FM in the sub-study used only three variables - sex, waist circumference (WC), and hip circumference and had multiple R2 = 0.9730. FFM and PBF were calculated from FM and body weight. Conclusion WC and other anthropometrics were more highly correlated with a number of obesity-related risk factors than were direct estimates of body composition. Body composition in Yup'ik people can be accurately estimated from simple anthropometrics.
AB - Objectives To (1) evaluate the relationships between several indices of obesity with obesity-related risk factors; (2) compare the accuracy of body composition estimates derived from anthropometry and bioimpedance analysis (BIA) to estimates of body composition assessed by doubly-labeled water (DLW); and (3) establish equations for estimating fat mass (FM), fat-free mass (FFM), and percent body fat (PBF) in Yup'ik people. Design and Methods Participants included 1,056 adult Yup'ik people from 11 communities in Southwestern Alaska. In a sub-study of 30 participants, we developed population-specific linear regression models for estimating FM, FFM, and PBF from anthropometrics, age, sex, and BIA against criterion measures derived from total body water assessed with DLW. These models were then used with the population cohort and we analyzed the relationships between obesity indices and several health-related and disease status variables: (1) fasting plasma lipids, (2) glucose, (3) HbA1c, (4) adiponectin, (5) blood pressure, (6) diabetes (DM), and (7) cerebrocoronary vascular disease (CCVD) which includes stroke and heart disease. Results The best model for estimating FM in the sub-study used only three variables - sex, waist circumference (WC), and hip circumference and had multiple R2 = 0.9730. FFM and PBF were calculated from FM and body weight. Conclusion WC and other anthropometrics were more highly correlated with a number of obesity-related risk factors than were direct estimates of body composition. Body composition in Yup'ik people can be accurately estimated from simple anthropometrics.
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U2 - 10.1002/oby.20125
DO - 10.1002/oby.20125
M3 - Article
C2 - 23666898
AN - SCOPUS:84884908899
SN - 1930-7381
VL - 21
SP - E435-E438
JO - Obesity
JF - Obesity
IS - 9
ER -