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...
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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 |
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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 |
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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 |
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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 |