Simple Anthropometrics Are More Correlated with Health Variables than Are Estimates of Body Composition in Yup’ik People

We aimed 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); a...

Full description

Bibliographic Details
Published in:Obesity
Main Authors: Bray, Maria, Pomeroy, Jeremy, Knowler, William C., Bersamin, Andrea, Hopkins, Scarlett, Brage, Søren, Stanhope, Kimber, Havel, Peter J., Boyer, Bert B.
Format: Text
Language:English
Published: 2013
Subjects:
Bia
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748182
http://www.ncbi.nlm.nih.gov/pubmed/23666898
https://doi.org/10.1002/oby.20125
id ftpubmed:oai:pubmedcentral.nih.gov:3748182
record_format openpolar
spelling ftpubmed:oai:pubmedcentral.nih.gov:3748182 2023-05-15T16:07:08+02:00 Simple Anthropometrics Are More Correlated with Health Variables than Are Estimates of Body Composition in Yup’ik People Bray, Maria Pomeroy, Jeremy Knowler, William C. Bersamin, Andrea Hopkins, Scarlett Brage, Søren Stanhope, Kimber Havel, Peter J. Boyer, Bert B. 2013-05-10 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748182 http://www.ncbi.nlm.nih.gov/pubmed/23666898 https://doi.org/10.1002/oby.20125 en eng http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748182 http://www.ncbi.nlm.nih.gov/pubmed/23666898 http://dx.doi.org/10.1002/oby.20125 Article Text 2013 ftpubmed https://doi.org/10.1002/oby.20125 2014-03-02T01:50:33Z We aimed 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 Eskimo people. Participants included 1056 adult Yup’ik People from 11 communities in Southwestern Alaska. In a substudy 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. The best model for estimating FM in the substudy 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. WC and other anthropometrics were more highly correlated with a number of obesity-related risk factors than were direct estimates of body composition. We conclude that body composition in Yup’ik People can be accurately estimated from simple anthropometrics. Text eskimo* Alaska PubMed Central (PMC) Bia ENVELOPE(22.891,22.891,70.317,70.317) Obesity 21 9 E435 E438
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Article
spellingShingle Article
Bray, Maria
Pomeroy, Jeremy
Knowler, William C.
Bersamin, Andrea
Hopkins, Scarlett
Brage, Søren
Stanhope, Kimber
Havel, Peter J.
Boyer, Bert B.
Simple Anthropometrics Are More Correlated with Health Variables than Are Estimates of Body Composition in Yup’ik People
topic_facet Article
description We aimed 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 Eskimo people. Participants included 1056 adult Yup’ik People from 11 communities in Southwestern Alaska. In a substudy 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. The best model for estimating FM in the substudy 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. WC and other anthropometrics were more highly correlated with a number of obesity-related risk factors than were direct estimates of body composition. We conclude that body composition in Yup’ik People can be accurately estimated from simple anthropometrics.
format Text
author Bray, Maria
Pomeroy, Jeremy
Knowler, William C.
Bersamin, Andrea
Hopkins, Scarlett
Brage, Søren
Stanhope, Kimber
Havel, Peter J.
Boyer, Bert B.
author_facet Bray, Maria
Pomeroy, Jeremy
Knowler, William C.
Bersamin, Andrea
Hopkins, Scarlett
Brage, Søren
Stanhope, Kimber
Havel, Peter J.
Boyer, Bert B.
author_sort Bray, Maria
title Simple Anthropometrics Are More Correlated with Health Variables than Are Estimates of Body Composition in Yup’ik People
title_short Simple Anthropometrics Are More Correlated with Health Variables than Are Estimates of Body Composition in Yup’ik People
title_full Simple Anthropometrics Are More Correlated with Health Variables than Are Estimates of Body Composition in Yup’ik People
title_fullStr Simple Anthropometrics Are More Correlated with Health Variables than Are Estimates of Body Composition in Yup’ik People
title_full_unstemmed Simple Anthropometrics Are More Correlated with Health Variables than Are Estimates of Body Composition in Yup’ik People
title_sort simple anthropometrics are more correlated with health variables than are estimates of body composition in yup’ik people
publishDate 2013
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748182
http://www.ncbi.nlm.nih.gov/pubmed/23666898
https://doi.org/10.1002/oby.20125
long_lat ENVELOPE(22.891,22.891,70.317,70.317)
geographic Bia
geographic_facet Bia
genre eskimo*
Alaska
genre_facet eskimo*
Alaska
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3748182
http://www.ncbi.nlm.nih.gov/pubmed/23666898
http://dx.doi.org/10.1002/oby.20125
op_doi https://doi.org/10.1002/oby.20125
container_title Obesity
container_volume 21
container_issue 9
container_start_page E435
op_container_end_page E438
_version_ 1766403193741246464