Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents
OBJECTIVE: To compare estimates of adiposity by dual emission X-ray absorptiometry (DXA), skinfolds and body mass index (BMI); and to evaluate the relation of these measures to cardiovascular risk in adolescents. DESIGN: In a cohort of adolescents participating in a longitudinal study of insulin res...
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| Veröffentlicht in: | International Journal of Obesity 2005-11, Vol.29 (11), p.1346-1352 |
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| container_title | International Journal of Obesity |
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| creator | Steinberger, J Jacobs, D R Raatz, S Moran, A Hong, C-P Sinaiko, A R |
| description | OBJECTIVE:
To compare estimates of adiposity by dual emission X-ray absorptiometry (DXA), skinfolds and body mass index (BMI); and to evaluate the relation of these measures to cardiovascular risk in adolescents.
DESIGN:
In a cohort of adolescents participating in a longitudinal study of insulin resistance, Slaughter formulas were used to estimate adiposity from skinfolds and DXA was used to estimate adiposity as % body fat (%BF) and fat mass (FBM). BMI, blood pressure, lipids and insulin resistance were measured.
SUBJECTS:
Male and female, 11–17 y old (
n
=130).
MEASUREMENTS:
To compare DXA with two office-based methods of assessing fatness and cardiovascular risk.
RESULTS:
Slaughter estimates were highly correlated with DXA (%BF
r
=0.92,
P
=0.0001; FBM
r
=0.96,
P
=0.0001). Correlations were similar in heavy and thin children. BMI was also highly correlated with DXA (%BF
r
=0.85,
P
=0.0001; FBM
r
=0.95,
P
=0.0001), and these relations were stronger in heavy than thin children. BMI and the Slaughter formulas were similar to DXA in their relations to cardiovascular risk factors.
CONCLUSIONS:
Adiposity by BMI and Slaughter formulas are highly correlated with DXA and similarly related to cardiovascular risk factors. BMI is easy to obtain and is an acceptable method for initial office estimation of body fatness. BMI and skinfolds compare well with DXA in predicting adverse cardiovascular risk profile. |
| doi_str_mv | 10.1038/sj.ijo.0803026 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_68814516</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A188448482</galeid><sourcerecordid>A188448482</sourcerecordid><originalsourceid>FETCH-LOGICAL-c491t-84ea554d1c9254c8d2baa0143b3cae33f33443d08d1d2a2f2b6e29af593962073</originalsourceid><addsrcrecordid>eNqFkt-L1DAQx4so3nr66qMEQd92L7_apo93iz8OTnxR8K1Mm3Q3e2myZtqD_jn-p6a3hUVBJA-Bmc98vzPJZNlrRjeMCnWFh409hA1VVFBePMlWTJbFOpdV-TRbpVi5pnmRX2QvEA-U0jyn_Hl2wQoqJSuLVfZrG_ojRIvBk9CRJuiJdDB4g0h6AzhG0xs_IGkmcvPlloDXBO-t74LTSB6Q6BEcMd7E3UR-rCNMBBoM8TjY0JshTo8Vw97YSKJxkMKeDIG0ELUND4Dt6CClLN4n33YIEYn1BHRwBtvZ-WX2rAOH5tVyX2bfP374tv28vvv66XZ7fbduZcWGtZIG8lxq1lY8l63SvAGgTIpGtGCE6ISQUmiqNNMceMebwvAKurwSVcFpKS6z9yfdYww_R4ND3dvUgXPgTRixLpRiMmfFf8EkxpLqrPj2L_AQxujTEDVnFZcqr2a1zQnagTP1_LBDhDYdbXrbBm86m-LXTCkplVT8bP9YsDfghj0GN84vi3-Ci3IbA2I0XX2Mtoc41YzW8_LUeKjT8tTL8qSCN0u_Y9MbfcaXbUnAuwVI_waui-Bbi2eu5FSxUiTu6sRhSvmdiefB_2H9G-TP3rc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>219248596</pqid></control><display><type>article</type><title>Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents</title><source>MEDLINE</source><source>Nature</source><source>EZB-FREE-00999 freely available EZB journals</source><source>SpringerLink Journals - AutoHoldings</source><creator>Steinberger, J ; Jacobs, D R ; Raatz, S ; Moran, A ; Hong, C-P ; Sinaiko, A R</creator><creatorcontrib>Steinberger, J ; Jacobs, D R ; Raatz, S ; Moran, A ; Hong, C-P ; Sinaiko, A R</creatorcontrib><description>OBJECTIVE:
To compare estimates of adiposity by dual emission X-ray absorptiometry (DXA), skinfolds and body mass index (BMI); and to evaluate the relation of these measures to cardiovascular risk in adolescents.
DESIGN:
In a cohort of adolescents participating in a longitudinal study of insulin resistance, Slaughter formulas were used to estimate adiposity from skinfolds and DXA was used to estimate adiposity as % body fat (%BF) and fat mass (FBM). BMI, blood pressure, lipids and insulin resistance were measured.
SUBJECTS:
Male and female, 11–17 y old (
n
=130).
MEASUREMENTS:
To compare DXA with two office-based methods of assessing fatness and cardiovascular risk.
RESULTS:
Slaughter estimates were highly correlated with DXA (%BF
r
=0.92,
P
=0.0001; FBM
r
=0.96,
P
=0.0001). Correlations were similar in heavy and thin children. BMI was also highly correlated with DXA (%BF
r
=0.85,
P
=0.0001; FBM
r
=0.95,
P
=0.0001), and these relations were stronger in heavy than thin children. BMI and the Slaughter formulas were similar to DXA in their relations to cardiovascular risk factors.
CONCLUSIONS:
Adiposity by BMI and Slaughter formulas are highly correlated with DXA and similarly related to cardiovascular risk factors. BMI is easy to obtain and is an acceptable method for initial office estimation of body fatness. BMI and skinfolds compare well with DXA in predicting adverse cardiovascular risk profile.</description><identifier>ISSN: 0307-0565</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/sj.ijo.0803026</identifier><identifier>PMID: 16044176</identifier><identifier>CODEN: IJOBDP</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Absorptiometry, Photon ; Adolescent ; Adolescents ; Biological and medical sciences ; Blood pressure ; Body Composition ; Body Mass Index ; Cardiovascular Diseases - blood ; Cardiovascular Diseases - etiology ; Cardiovascular Diseases - physiopathology ; Child ; Children ; Emissions ; Epidemiology ; Female ; Health Promotion and Disease Prevention ; Health risks ; Humans ; Insulin Resistance ; Internal Medicine ; Investigative techniques, diagnostic techniques (general aspects) ; Lipids ; Lipids - blood ; Longitudinal studies ; Male ; Medical sciences ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Obesity ; Obesity - blood ; Obesity - diagnosis ; Obesity - physiopathology ; Osteoarticular system. Muscles ; Public Health ; Radiodiagnosis. Nmr imagery. Nmr spectrometry ; Risk Factors ; Sensitivity and Specificity ; Skinfold Thickness</subject><ispartof>International Journal of Obesity, 2005-11, Vol.29 (11), p.1346-1352</ispartof><rights>Springer Nature Limited 2005</rights><rights>2006 INIST-CNRS</rights><rights>COPYRIGHT 2005 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Nov 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c491t-84ea554d1c9254c8d2baa0143b3cae33f33443d08d1d2a2f2b6e29af593962073</citedby><cites>FETCH-LOGICAL-c491t-84ea554d1c9254c8d2baa0143b3cae33f33443d08d1d2a2f2b6e29af593962073</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/sj.ijo.0803026$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/sj.ijo.0803026$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17208173$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16044176$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Steinberger, J</creatorcontrib><creatorcontrib>Jacobs, D R</creatorcontrib><creatorcontrib>Raatz, S</creatorcontrib><creatorcontrib>Moran, A</creatorcontrib><creatorcontrib>Hong, C-P</creatorcontrib><creatorcontrib>Sinaiko, A R</creatorcontrib><title>Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents</title><title>International Journal of Obesity</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description>OBJECTIVE:
To compare estimates of adiposity by dual emission X-ray absorptiometry (DXA), skinfolds and body mass index (BMI); and to evaluate the relation of these measures to cardiovascular risk in adolescents.
DESIGN:
In a cohort of adolescents participating in a longitudinal study of insulin resistance, Slaughter formulas were used to estimate adiposity from skinfolds and DXA was used to estimate adiposity as % body fat (%BF) and fat mass (FBM). BMI, blood pressure, lipids and insulin resistance were measured.
SUBJECTS:
Male and female, 11–17 y old (
n
=130).
MEASUREMENTS:
To compare DXA with two office-based methods of assessing fatness and cardiovascular risk.
RESULTS:
Slaughter estimates were highly correlated with DXA (%BF
r
=0.92,
P
=0.0001; FBM
r
=0.96,
P
=0.0001). Correlations were similar in heavy and thin children. BMI was also highly correlated with DXA (%BF
r
=0.85,
P
=0.0001; FBM
r
=0.95,
P
=0.0001), and these relations were stronger in heavy than thin children. BMI and the Slaughter formulas were similar to DXA in their relations to cardiovascular risk factors.
CONCLUSIONS:
Adiposity by BMI and Slaughter formulas are highly correlated with DXA and similarly related to cardiovascular risk factors. BMI is easy to obtain and is an acceptable method for initial office estimation of body fatness. BMI and skinfolds compare well with DXA in predicting adverse cardiovascular risk profile.</description><subject>Absorptiometry, Photon</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Biological and medical sciences</subject><subject>Blood pressure</subject><subject>Body Composition</subject><subject>Body Mass Index</subject><subject>Cardiovascular Diseases - blood</subject><subject>Cardiovascular Diseases - etiology</subject><subject>Cardiovascular Diseases - physiopathology</subject><subject>Child</subject><subject>Children</subject><subject>Emissions</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Health Promotion and Disease Prevention</subject><subject>Health risks</subject><subject>Humans</subject><subject>Insulin Resistance</subject><subject>Internal Medicine</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Lipids</subject><subject>Lipids - blood</subject><subject>Longitudinal studies</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Obesity</subject><subject>Obesity - blood</subject><subject>Obesity - diagnosis</subject><subject>Obesity - physiopathology</subject><subject>Osteoarticular system. Muscles</subject><subject>Public Health</subject><subject>Radiodiagnosis. Nmr imagery. Nmr spectrometry</subject><subject>Risk Factors</subject><subject>Sensitivity and Specificity</subject><subject>Skinfold Thickness</subject><issn>0307-0565</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkt-L1DAQx4so3nr66qMEQd92L7_apo93iz8OTnxR8K1Mm3Q3e2myZtqD_jn-p6a3hUVBJA-Bmc98vzPJZNlrRjeMCnWFh409hA1VVFBePMlWTJbFOpdV-TRbpVi5pnmRX2QvEA-U0jyn_Hl2wQoqJSuLVfZrG_ojRIvBk9CRJuiJdDB4g0h6AzhG0xs_IGkmcvPlloDXBO-t74LTSB6Q6BEcMd7E3UR-rCNMBBoM8TjY0JshTo8Vw97YSKJxkMKeDIG0ELUND4Dt6CClLN4n33YIEYn1BHRwBtvZ-WX2rAOH5tVyX2bfP374tv28vvv66XZ7fbduZcWGtZIG8lxq1lY8l63SvAGgTIpGtGCE6ISQUmiqNNMceMebwvAKurwSVcFpKS6z9yfdYww_R4ND3dvUgXPgTRixLpRiMmfFf8EkxpLqrPj2L_AQxujTEDVnFZcqr2a1zQnagTP1_LBDhDYdbXrbBm86m-LXTCkplVT8bP9YsDfghj0GN84vi3-Ci3IbA2I0XX2Mtoc41YzW8_LUeKjT8tTL8qSCN0u_Y9MbfcaXbUnAuwVI_waui-Bbi2eu5FSxUiTu6sRhSvmdiefB_2H9G-TP3rc</recordid><startdate>20051101</startdate><enddate>20051101</enddate><creator>Steinberger, J</creator><creator>Jacobs, D R</creator><creator>Raatz, S</creator><creator>Moran, A</creator><creator>Hong, C-P</creator><creator>Sinaiko, A R</creator><general>Nature Publishing Group UK</general><general>Nature Publishing</general><general>Nature Publishing Group</general><scope>IQODW</scope><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>3V.</scope><scope>7T2</scope><scope>7TK</scope><scope>7TS</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7U1</scope><scope>7U2</scope><scope>7X8</scope></search><sort><creationdate>20051101</creationdate><title>Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents</title><author>Steinberger, J ; Jacobs, D R ; Raatz, S ; Moran, A ; Hong, C-P ; Sinaiko, A R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c491t-84ea554d1c9254c8d2baa0143b3cae33f33443d08d1d2a2f2b6e29af593962073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Absorptiometry, Photon</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Biological and medical sciences</topic><topic>Blood pressure</topic><topic>Body Composition</topic><topic>Body Mass Index</topic><topic>Cardiovascular Diseases - blood</topic><topic>Cardiovascular Diseases - etiology</topic><topic>Cardiovascular Diseases - physiopathology</topic><topic>Child</topic><topic>Children</topic><topic>Emissions</topic><topic>Epidemiology</topic><topic>Female</topic><topic>Health Promotion and Disease Prevention</topic><topic>Health risks</topic><topic>Humans</topic><topic>Insulin Resistance</topic><topic>Internal Medicine</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Lipids</topic><topic>Lipids - blood</topic><topic>Longitudinal studies</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Obesity</topic><topic>Obesity - blood</topic><topic>Obesity - diagnosis</topic><topic>Obesity - physiopathology</topic><topic>Osteoarticular system. Muscles</topic><topic>Public Health</topic><topic>Radiodiagnosis. Nmr imagery. Nmr spectrometry</topic><topic>Risk Factors</topic><topic>Sensitivity and Specificity</topic><topic>Skinfold Thickness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Steinberger, J</creatorcontrib><creatorcontrib>Jacobs, D R</creatorcontrib><creatorcontrib>Raatz, S</creatorcontrib><creatorcontrib>Moran, A</creatorcontrib><creatorcontrib>Hong, C-P</creatorcontrib><creatorcontrib>Sinaiko, A R</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Physical Education Index</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>MEDLINE - Academic</collection><jtitle>International Journal of Obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Steinberger, J</au><au>Jacobs, D R</au><au>Raatz, S</au><au>Moran, A</au><au>Hong, C-P</au><au>Sinaiko, A R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents</atitle><jtitle>International Journal of Obesity</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2005-11-01</date><risdate>2005</risdate><volume>29</volume><issue>11</issue><spage>1346</spage><epage>1352</epage><pages>1346-1352</pages><issn>0307-0565</issn><eissn>1476-5497</eissn><coden>IJOBDP</coden><abstract>OBJECTIVE:
To compare estimates of adiposity by dual emission X-ray absorptiometry (DXA), skinfolds and body mass index (BMI); and to evaluate the relation of these measures to cardiovascular risk in adolescents.
DESIGN:
In a cohort of adolescents participating in a longitudinal study of insulin resistance, Slaughter formulas were used to estimate adiposity from skinfolds and DXA was used to estimate adiposity as % body fat (%BF) and fat mass (FBM). BMI, blood pressure, lipids and insulin resistance were measured.
SUBJECTS:
Male and female, 11–17 y old (
n
=130).
MEASUREMENTS:
To compare DXA with two office-based methods of assessing fatness and cardiovascular risk.
RESULTS:
Slaughter estimates were highly correlated with DXA (%BF
r
=0.92,
P
=0.0001; FBM
r
=0.96,
P
=0.0001). Correlations were similar in heavy and thin children. BMI was also highly correlated with DXA (%BF
r
=0.85,
P
=0.0001; FBM
r
=0.95,
P
=0.0001), and these relations were stronger in heavy than thin children. BMI and the Slaughter formulas were similar to DXA in their relations to cardiovascular risk factors.
CONCLUSIONS:
Adiposity by BMI and Slaughter formulas are highly correlated with DXA and similarly related to cardiovascular risk factors. BMI is easy to obtain and is an acceptable method for initial office estimation of body fatness. BMI and skinfolds compare well with DXA in predicting adverse cardiovascular risk profile.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>16044176</pmid><doi>10.1038/sj.ijo.0803026</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
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| ispartof | International Journal of Obesity, 2005-11, Vol.29 (11), p.1346-1352 |
| issn | 0307-0565 1476-5497 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_68814516 |
| source | MEDLINE; Nature; EZB-FREE-00999 freely available EZB journals; SpringerLink Journals - AutoHoldings |
| subjects | Absorptiometry, Photon Adolescent Adolescents Biological and medical sciences Blood pressure Body Composition Body Mass Index Cardiovascular Diseases - blood Cardiovascular Diseases - etiology Cardiovascular Diseases - physiopathology Child Children Emissions Epidemiology Female Health Promotion and Disease Prevention Health risks Humans Insulin Resistance Internal Medicine Investigative techniques, diagnostic techniques (general aspects) Lipids Lipids - blood Longitudinal studies Male Medical sciences Medicine Medicine & Public Health Metabolic Diseases Obesity Obesity - blood Obesity - diagnosis Obesity - physiopathology Osteoarticular system. Muscles Public Health Radiodiagnosis. Nmr imagery. Nmr spectrometry Risk Factors Sensitivity and Specificity Skinfold Thickness |
| title | Comparison of body fatness measurements by BMI and skinfolds vs dual energy X-ray absorptiometry and their relation to cardiovascular risk factors in adolescents |
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