Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults

Although body fat percent (BF%) may be used for screening metabolic risk factors, its accuracy compared to BMI and waist circumference is unknown in a Mexican population. We compared the classification accuracy of BF%, BMI and WC for the detection of metabolic risk factors in a sample of Mexican adu...

Full description

Saved in:
Bibliographic Details
Published in:BMC public health 2014-04, Vol.14 (1), p.341-341, Article 341
Main Authors: Macias, Nayeli, Quezada, Amado D, Flores, Mario, Valencia, Mauro E, Denova-Gutiérrez, Edgar, Quiterio-Trenado, Manuel, Gallegos-Carrillo, Katia, Barquera, Simon, Salmerón, Jorge
Format: Article
Language:English
Subjects:
Adipose Tissue - anatomy & histology
Adiposity
Adult
Anthropometry
Body Composition
Body Mass Index
Cross-Sectional Studies
Female
Health aspects
Humans
Hypertension - complications
Hypertriglyceridemia - complications
Male
Medical research
Medicine, Experimental
Metabolic Syndrome
Mexico
Middle Aged
Obesity - epidemiology
Physiological aspects
Risk Factors
Sensitivity and Specificity
Statistics
Waist Circumference
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-b556t-73c88fd5c521891dbe892b2445e9748945e78001f238e1219c331408de1a18ae3
cites cdi_FETCH-LOGICAL-b556t-73c88fd5c521891dbe892b2445e9748945e78001f238e1219c331408de1a18ae3
container_end_page 341
container_issue 1
container_start_page 341
container_title BMC public health
container_volume 14
creator Macias, Nayeli
Quezada, Amado D
Flores, Mario
Valencia, Mauro E
Denova-Gutiérrez, Edgar
Quiterio-Trenado, Manuel
Gallegos-Carrillo, Katia
Barquera, Simon
Salmerón, Jorge
description Although body fat percent (BF%) may be used for screening metabolic risk factors, its accuracy compared to BMI and waist circumference is unknown in a Mexican population. We compared the classification accuracy of BF%, BMI and WC for the detection of metabolic risk factors in a sample of Mexican adults; optimized cutoffs as well as sensitivity and specificity at commonly used BF% and BMI international cutoffs were estimated. We also estimated conditional BF% means at BMI international cutoffs. We performed a cross-sectional analysis of data on body composition, anthropometry and metabolic risk factors(high glucose, high triglycerides, low HDL cholesterol and hypertension) from 5,100 Mexican men and women. The association between BMI, WC and BF%was evaluated with linear regression models. The BF%, BMI and WC optimal cutoffs for the detection of metabolic risk factors were selected at the point where sensitivity was closest to specificity. Areas under the ROC Curve (AUC) were compared among classifiers using a non-parametric method. After adjustment for WC, a 1% increase in BMI was associated with a BF% rise of 0.05 percentage points (p.p.) in men (P
doi_str_mv 10.1186/1471-2458-14-341
format article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4108012</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A539593702</galeid><sourcerecordid>A539593702</sourcerecordid><originalsourceid>FETCH-LOGICAL-b556t-73c88fd5c521891dbe892b2445e9748945e78001f238e1219c331408de1a18ae3</originalsourceid><addsrcrecordid>eNqNUk1v1DAQjRCIlsKdE7LEhUuKxx8b54K0WtGCVMQFzpZjT4ohiRfbqbpn_jgOW1ZdqUjIhxnNvHmeNzNV9RLoOYBavQXRQM2EVDWImgt4VJ0eQo_v-SfVs5S-UwqNkuxpdcJEw4Ct6Gn1a23tHI3dkdCTLrgd6U0mW4wWp0zM5IhxfhuSzzviJ-etySEmYudcCnpyY4YZE8mBOMxoMxkxmy4M3pLo049CZv_g_UQMSWbcDrh89AlvC1OJuXnI6Xn1pDdDwhd39qz6evH-y-ZDffX58uNmfVV3Uq5y3XCrVO-klQxUC65D1bKOCSGxbYRqi21U0dgzrhAYtJZzEFQ5BAPKID-r3u15t3M3olsURjPobfSjiTsdjNfHmcl_09fhRgugigIrBJs9QefDPwiOMzaMelmCXpZQPF12VFje3LURw88yvaxHnywOg5kwzEmDZJQr0QrxH1BYNUwAawr09R56bQbUfupD6cAucL2WvJUtb-ii4PwBVHkOR2_DhL0v8aMCui-wMaQUsT-oBaqXG3xI36v7Yz4U_D06_htLoNbt</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1516724127</pqid></control><display><type>article</type><title>Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults</title><source>PubMed Central(OpenAccess)</source><source>ProQuest - Publicly Available Content Database</source><creator>Macias, Nayeli ; Quezada, Amado D ; Flores, Mario ; Valencia, Mauro E ; Denova-Gutiérrez, Edgar ; Quiterio-Trenado, Manuel ; Gallegos-Carrillo, Katia ; Barquera, Simon ; Salmerón, Jorge</creator><creatorcontrib>Macias, Nayeli ; Quezada, Amado D ; Flores, Mario ; Valencia, Mauro E ; Denova-Gutiérrez, Edgar ; Quiterio-Trenado, Manuel ; Gallegos-Carrillo, Katia ; Barquera, Simon ; Salmerón, Jorge</creatorcontrib><description>Although body fat percent (BF%) may be used for screening metabolic risk factors, its accuracy compared to BMI and waist circumference is unknown in a Mexican population. We compared the classification accuracy of BF%, BMI and WC for the detection of metabolic risk factors in a sample of Mexican adults; optimized cutoffs as well as sensitivity and specificity at commonly used BF% and BMI international cutoffs were estimated. We also estimated conditional BF% means at BMI international cutoffs. We performed a cross-sectional analysis of data on body composition, anthropometry and metabolic risk factors(high glucose, high triglycerides, low HDL cholesterol and hypertension) from 5,100 Mexican men and women. The association between BMI, WC and BF%was evaluated with linear regression models. The BF%, BMI and WC optimal cutoffs for the detection of metabolic risk factors were selected at the point where sensitivity was closest to specificity. Areas under the ROC Curve (AUC) were compared among classifiers using a non-parametric method. After adjustment for WC, a 1% increase in BMI was associated with a BF% rise of 0.05 percentage points (p.p.) in men (P&lt;0.05) and 0.25 p.p. in women (P&lt;0.001). At BMI=25.0 predicted BF% was 27.6±0.16 (mean±SE) in men and 41.2±0.07 in women. Estimated BF% cutoffs for detection of metabolic risk factors were close to 30.0 in men and close to 44.0 in women. In men WC had higher AUC than BF% for the classification of all conditions whereas BMI had higher AUC than BF% for the classification of high triglycerides and hypertension. In womenBMI and WC had higher AUC than BF% for the classification of all metabolic risk factors. BMI and WC were more accurate than BF% for classifying the studied metabolic disorders. International BF% cutoffs had very low specificity and thus produced a high rate of false positives in both sexes.</description><identifier>ISSN: 1471-2458</identifier><identifier>EISSN: 1471-2458</identifier><identifier>DOI: 10.1186/1471-2458-14-341</identifier><identifier>PMID: 24721260</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adipose Tissue - anatomy &amp; histology ; Adiposity ; Adult ; Anthropometry ; Body Composition ; Body Mass Index ; Cross-Sectional Studies ; Female ; Health aspects ; Humans ; Hypertension - complications ; Hypertriglyceridemia - complications ; Male ; Medical research ; Medicine, Experimental ; Metabolic Syndrome ; Mexico ; Middle Aged ; Obesity - epidemiology ; Physiological aspects ; Risk Factors ; Sensitivity and Specificity ; Statistics ; Waist Circumference</subject><ispartof>BMC public health, 2014-04, Vol.14 (1), p.341-341, Article 341</ispartof><rights>COPYRIGHT 2014 BioMed Central Ltd.</rights><rights>Copyright © 2014 Macias et al.; licensee BioMed Central Ltd. 2014 Macias et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b556t-73c88fd5c521891dbe892b2445e9748945e78001f238e1219c331408de1a18ae3</citedby><cites>FETCH-LOGICAL-b556t-73c88fd5c521891dbe892b2445e9748945e78001f238e1219c331408de1a18ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108012/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108012/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,37013,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24721260$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Macias, Nayeli</creatorcontrib><creatorcontrib>Quezada, Amado D</creatorcontrib><creatorcontrib>Flores, Mario</creatorcontrib><creatorcontrib>Valencia, Mauro E</creatorcontrib><creatorcontrib>Denova-Gutiérrez, Edgar</creatorcontrib><creatorcontrib>Quiterio-Trenado, Manuel</creatorcontrib><creatorcontrib>Gallegos-Carrillo, Katia</creatorcontrib><creatorcontrib>Barquera, Simon</creatorcontrib><creatorcontrib>Salmerón, Jorge</creatorcontrib><title>Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults</title><title>BMC public health</title><addtitle>BMC Public Health</addtitle><description>Although body fat percent (BF%) may be used for screening metabolic risk factors, its accuracy compared to BMI and waist circumference is unknown in a Mexican population. We compared the classification accuracy of BF%, BMI and WC for the detection of metabolic risk factors in a sample of Mexican adults; optimized cutoffs as well as sensitivity and specificity at commonly used BF% and BMI international cutoffs were estimated. We also estimated conditional BF% means at BMI international cutoffs. We performed a cross-sectional analysis of data on body composition, anthropometry and metabolic risk factors(high glucose, high triglycerides, low HDL cholesterol and hypertension) from 5,100 Mexican men and women. The association between BMI, WC and BF%was evaluated with linear regression models. The BF%, BMI and WC optimal cutoffs for the detection of metabolic risk factors were selected at the point where sensitivity was closest to specificity. Areas under the ROC Curve (AUC) were compared among classifiers using a non-parametric method. After adjustment for WC, a 1% increase in BMI was associated with a BF% rise of 0.05 percentage points (p.p.) in men (P&lt;0.05) and 0.25 p.p. in women (P&lt;0.001). At BMI=25.0 predicted BF% was 27.6±0.16 (mean±SE) in men and 41.2±0.07 in women. Estimated BF% cutoffs for detection of metabolic risk factors were close to 30.0 in men and close to 44.0 in women. In men WC had higher AUC than BF% for the classification of all conditions whereas BMI had higher AUC than BF% for the classification of high triglycerides and hypertension. In womenBMI and WC had higher AUC than BF% for the classification of all metabolic risk factors. BMI and WC were more accurate than BF% for classifying the studied metabolic disorders. International BF% cutoffs had very low specificity and thus produced a high rate of false positives in both sexes.</description><subject>Adipose Tissue - anatomy &amp; histology</subject><subject>Adiposity</subject><subject>Adult</subject><subject>Anthropometry</subject><subject>Body Composition</subject><subject>Body Mass Index</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Hypertension - complications</subject><subject>Hypertriglyceridemia - complications</subject><subject>Male</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Metabolic Syndrome</subject><subject>Mexico</subject><subject>Middle Aged</subject><subject>Obesity - epidemiology</subject><subject>Physiological aspects</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>Statistics</subject><subject>Waist Circumference</subject><issn>1471-2458</issn><issn>1471-2458</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNUk1v1DAQjRCIlsKdE7LEhUuKxx8b54K0WtGCVMQFzpZjT4ohiRfbqbpn_jgOW1ZdqUjIhxnNvHmeNzNV9RLoOYBavQXRQM2EVDWImgt4VJ0eQo_v-SfVs5S-UwqNkuxpdcJEw4Ct6Gn1a23tHI3dkdCTLrgd6U0mW4wWp0zM5IhxfhuSzzviJ-etySEmYudcCnpyY4YZE8mBOMxoMxkxmy4M3pLo049CZv_g_UQMSWbcDrh89AlvC1OJuXnI6Xn1pDdDwhd39qz6evH-y-ZDffX58uNmfVV3Uq5y3XCrVO-klQxUC65D1bKOCSGxbYRqi21U0dgzrhAYtJZzEFQ5BAPKID-r3u15t3M3olsURjPobfSjiTsdjNfHmcl_09fhRgugigIrBJs9QefDPwiOMzaMelmCXpZQPF12VFje3LURw88yvaxHnywOg5kwzEmDZJQr0QrxH1BYNUwAawr09R56bQbUfupD6cAucL2WvJUtb-ii4PwBVHkOR2_DhL0v8aMCui-wMaQUsT-oBaqXG3xI36v7Yz4U_D06_htLoNbt</recordid><startdate>20140410</startdate><enddate>20140410</enddate><creator>Macias, Nayeli</creator><creator>Quezada, Amado D</creator><creator>Flores, Mario</creator><creator>Valencia, Mauro E</creator><creator>Denova-Gutiérrez, Edgar</creator><creator>Quiterio-Trenado, Manuel</creator><creator>Gallegos-Carrillo, Katia</creator><creator>Barquera, Simon</creator><creator>Salmerón, Jorge</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7T2</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>5PM</scope></search><sort><creationdate>20140410</creationdate><title>Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults</title><author>Macias, Nayeli ; Quezada, Amado D ; Flores, Mario ; Valencia, Mauro E ; Denova-Gutiérrez, Edgar ; Quiterio-Trenado, Manuel ; Gallegos-Carrillo, Katia ; Barquera, Simon ; Salmerón, Jorge</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b556t-73c88fd5c521891dbe892b2445e9748945e78001f238e1219c331408de1a18ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adipose Tissue - anatomy &amp; histology</topic><topic>Adiposity</topic><topic>Adult</topic><topic>Anthropometry</topic><topic>Body Composition</topic><topic>Body Mass Index</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Hypertension - complications</topic><topic>Hypertriglyceridemia - complications</topic><topic>Male</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Metabolic Syndrome</topic><topic>Mexico</topic><topic>Middle Aged</topic><topic>Obesity - epidemiology</topic><topic>Physiological aspects</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Statistics</topic><topic>Waist Circumference</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Macias, Nayeli</creatorcontrib><creatorcontrib>Quezada, Amado D</creatorcontrib><creatorcontrib>Flores, Mario</creatorcontrib><creatorcontrib>Valencia, Mauro E</creatorcontrib><creatorcontrib>Denova-Gutiérrez, Edgar</creatorcontrib><creatorcontrib>Quiterio-Trenado, Manuel</creatorcontrib><creatorcontrib>Gallegos-Carrillo, Katia</creatorcontrib><creatorcontrib>Barquera, Simon</creatorcontrib><creatorcontrib>Salmerón, Jorge</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Macias, Nayeli</au><au>Quezada, Amado D</au><au>Flores, Mario</au><au>Valencia, Mauro E</au><au>Denova-Gutiérrez, Edgar</au><au>Quiterio-Trenado, Manuel</au><au>Gallegos-Carrillo, Katia</au><au>Barquera, Simon</au><au>Salmerón, Jorge</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults</atitle><jtitle>BMC public health</jtitle><addtitle>BMC Public Health</addtitle><date>2014-04-10</date><risdate>2014</risdate><volume>14</volume><issue>1</issue><spage>341</spage><epage>341</epage><pages>341-341</pages><artnum>341</artnum><issn>1471-2458</issn><eissn>1471-2458</eissn><abstract>Although body fat percent (BF%) may be used for screening metabolic risk factors, its accuracy compared to BMI and waist circumference is unknown in a Mexican population. We compared the classification accuracy of BF%, BMI and WC for the detection of metabolic risk factors in a sample of Mexican adults; optimized cutoffs as well as sensitivity and specificity at commonly used BF% and BMI international cutoffs were estimated. We also estimated conditional BF% means at BMI international cutoffs. We performed a cross-sectional analysis of data on body composition, anthropometry and metabolic risk factors(high glucose, high triglycerides, low HDL cholesterol and hypertension) from 5,100 Mexican men and women. The association between BMI, WC and BF%was evaluated with linear regression models. The BF%, BMI and WC optimal cutoffs for the detection of metabolic risk factors were selected at the point where sensitivity was closest to specificity. Areas under the ROC Curve (AUC) were compared among classifiers using a non-parametric method. After adjustment for WC, a 1% increase in BMI was associated with a BF% rise of 0.05 percentage points (p.p.) in men (P&lt;0.05) and 0.25 p.p. in women (P&lt;0.001). At BMI=25.0 predicted BF% was 27.6±0.16 (mean±SE) in men and 41.2±0.07 in women. Estimated BF% cutoffs for detection of metabolic risk factors were close to 30.0 in men and close to 44.0 in women. In men WC had higher AUC than BF% for the classification of all conditions whereas BMI had higher AUC than BF% for the classification of high triglycerides and hypertension. In womenBMI and WC had higher AUC than BF% for the classification of all metabolic risk factors. BMI and WC were more accurate than BF% for classifying the studied metabolic disorders. International BF% cutoffs had very low specificity and thus produced a high rate of false positives in both sexes.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>24721260</pmid><doi>10.1186/1471-2458-14-341</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1471-2458
ispartof BMC public health, 2014-04, Vol.14 (1), p.341-341, Article 341
issn 1471-2458
1471-2458
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4108012
source PubMed Central(OpenAccess); ProQuest - Publicly Available Content Database
subjects Adipose Tissue - anatomy & histology
Adiposity
Adult
Anthropometry
Body Composition
Body Mass Index
Cross-Sectional Studies
Female
Health aspects
Humans
Hypertension - complications
Hypertriglyceridemia - complications
Male
Medical research
Medicine, Experimental
Metabolic Syndrome
Mexico
Middle Aged
Obesity - epidemiology
Physiological aspects
Risk Factors
Sensitivity and Specificity
Statistics
Waist Circumference
title Accuracy of body fat percent and adiposity indicators cut off values to detect metabolic risk factors in a sample of Mexican adults
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T07%3A35%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accuracy%20of%20body%20fat%20percent%20and%20adiposity%20indicators%20cut%20off%20values%20to%20detect%20metabolic%20risk%20factors%20in%20a%20sample%20of%20Mexican%20adults&rft.jtitle=BMC%20public%20health&rft.au=Macias,%20Nayeli&rft.date=2014-04-10&rft.volume=14&rft.issue=1&rft.spage=341&rft.epage=341&rft.pages=341-341&rft.artnum=341&rft.issn=1471-2458&rft.eissn=1471-2458&rft_id=info:doi/10.1186/1471-2458-14-341&rft_dat=%3Cgale_pubme%3EA539593702%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-b556t-73c88fd5c521891dbe892b2445e9748945e78001f238e1219c331408de1a18ae3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1516724127&rft_id=info:pmid/24721260&rft_galeid=A539593702&rfr_iscdi=true