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Validation of anthropometry and foot-to-foot bioelectrical resistance against a three-component model to assess total body fat in children: the IDEFICS study
Objective: To compare different field methods for estimating body fat mass with a reference value derived by a three-component (3C) model in pre-school and school children across Europe. Design: Multicentre validation study. Subjects: Seventy-eight preschool/school children aged 4–10 years from four...
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Published in: | International Journal of Obesity 2013-04, Vol.37 (4), p.520-526 |
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container_end_page | 526 |
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container_title | International Journal of Obesity |
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creator | Bammann, K Huybrechts, I Vicente-Rodriguez, G Easton, C De Vriendt, T Marild, S Mesana, M I Peeters, M W Reilly, J J Sioen, I Tubic, B Wawro, N Wells, J C Westerterp, K Pitsiladis, Y Moreno, L A |
description | Objective:
To compare different field methods for estimating body fat mass with a reference value derived by a three-component (3C) model in pre-school and school children across Europe.
Design:
Multicentre validation study.
Subjects:
Seventy-eight preschool/school children aged 4–10 years from four different European countries.
Methods:
A standard measurement protocol was carried out in all children by trained field workers. A 3C model was used as the reference method. The field methods included height and weight measurement, circumferences measured at four sites, skinfold measured at two–six sites and foot-to-foot bioelectrical resistance (BIA) via TANITA scales.
Results:
With the exception of height and neck circumference, all single measurements were able to explain at least 74% of the fat-mass variance in the sample. In combination, circumference models were superior to skinfold models and height–weight models. The best predictions were given by trunk models (combining skinfold and circumference measurements) that explained 91% of the observed fat-mass variance. The optimal data-driven model for our sample includes hip circumference, triceps skinfold and total body mass minus resistance index, and explains 94% of the fat-mass variance with 2.44 kg fat mass limits of agreement. In all investigated models, prediction errors were associated with fat mass, although to a lesser degree in the investigated skinfold models, arm models and the data-driven models.
Conclusion:
When studying total body fat in childhood populations, anthropometric measurements will give biased estimations as compared to gold standard measurements. Nevertheless, our study shows that when combining circumference and skinfold measurements, estimations of fat mass can be obtained with a limit of agreement of 1.91 kg in normal weight children and of 2.94 kg in overweight or obese children. |
doi_str_mv | 10.1038/ijo.2013.13 |
format | article |
fullrecord | <record><control><sourceid>gale_swepu</sourceid><recordid>TN_cdi_swepub_primary_oai_gup_ub_gu_se_174000</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A327816066</galeid><sourcerecordid>A327816066</sourcerecordid><originalsourceid>FETCH-LOGICAL-c557t-6c10d8c33510febd7c943aa994d0adb18a00e48d6a296d87bdca4f9a7e67c71e3</originalsourceid><addsrcrecordid>eNptkktv1DAUhSMEoqWwYo8sIRASZLDjJE7YVUMLI1ViwWNr3dg3Mx4l9tR2hObH8F9xNEMfqPLCr-9c28cny14yumCUNx_N1i0KyviC8UfZKStFnVdlKx5np5RTkdOqrk6yZyFsKaVVRYun2UnBedsKIU6zP79gMBqicZa4noCNG-92bsTo92mmSe9czKPL5550xuGAKnqjYCAegwkRrEICazA2RAIk6RFz5cads2gjGZ3GgURHIAQMIY1iknZO70kPkRhL1MYM2qP9lLRIVp8vLlfL7yTESe-fZ096GAK-OPZn2c_Lix_Lr_nVty-r5flVrqpKxLxWjOpGcV4x2mOnhWpLDtC2paagO9YApVg2uoairXUjOq2g7FsQWAslGPKzLD_UDb9xN3Vy580Ifi8dGLmedjItrScZUDJRJhcT_-7A77y7njBEOZqgcBjAopuCZLyoOGcFZwl9_R-6dZO36TUzVVatYCW9pdYwoDS2d9GDmovKc16IhtW0rhO1eIBKTeNoVPK7N2n9nuDtHcEGYYib4IZp_u5wH3x_AJV3IXjsbyxgVM4pkyllck5ZunWiXx3fNHUj6hv2X6wS8OYIQEhJ6X0KiQm3nCgKKsrZnA9H39OWXaO_Y84D5_4FhyfpGg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1324597140</pqid></control><display><type>article</type><title>Validation of anthropometry and foot-to-foot bioelectrical resistance against a three-component model to assess total body fat in children: the IDEFICS study</title><source>Nature Journals Online</source><creator>Bammann, K ; Huybrechts, I ; Vicente-Rodriguez, G ; Easton, C ; De Vriendt, T ; Marild, S ; Mesana, M I ; Peeters, M W ; Reilly, J J ; Sioen, I ; Tubic, B ; Wawro, N ; Wells, J C ; Westerterp, K ; Pitsiladis, Y ; Moreno, L A</creator><creatorcontrib>Bammann, K ; Huybrechts, I ; Vicente-Rodriguez, G ; Easton, C ; De Vriendt, T ; Marild, S ; Mesana, M I ; Peeters, M W ; Reilly, J J ; Sioen, I ; Tubic, B ; Wawro, N ; Wells, J C ; Westerterp, K ; Pitsiladis, Y ; Moreno, L A ; IDEFICS Consortium ; on behalf of the IDEFICS Consortium</creatorcontrib><description>Objective:
To compare different field methods for estimating body fat mass with a reference value derived by a three-component (3C) model in pre-school and school children across Europe.
Design:
Multicentre validation study.
Subjects:
Seventy-eight preschool/school children aged 4–10 years from four different European countries.
Methods:
A standard measurement protocol was carried out in all children by trained field workers. A 3C model was used as the reference method. The field methods included height and weight measurement, circumferences measured at four sites, skinfold measured at two–six sites and foot-to-foot bioelectrical resistance (BIA) via TANITA scales.
Results:
With the exception of height and neck circumference, all single measurements were able to explain at least 74% of the fat-mass variance in the sample. In combination, circumference models were superior to skinfold models and height–weight models. The best predictions were given by trunk models (combining skinfold and circumference measurements) that explained 91% of the observed fat-mass variance. The optimal data-driven model for our sample includes hip circumference, triceps skinfold and total body mass minus resistance index, and explains 94% of the fat-mass variance with 2.44 kg fat mass limits of agreement. In all investigated models, prediction errors were associated with fat mass, although to a lesser degree in the investigated skinfold models, arm models and the data-driven models.
Conclusion:
When studying total body fat in childhood populations, anthropometric measurements will give biased estimations as compared to gold standard measurements. Nevertheless, our study shows that when combining circumference and skinfold measurements, estimations of fat mass can be obtained with a limit of agreement of 1.91 kg in normal weight children and of 2.94 kg in overweight or obese children.</description><identifier>ISSN: 0307-0565</identifier><identifier>ISSN: 1476-5497</identifier><identifier>EISSN: 1476-5497</identifier><identifier>DOI: 10.1038/ijo.2013.13</identifier><identifier>PMID: 23399777</identifier><identifier>CODEN: IJOBDP</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/699/2743/393 ; 692/700/1720 ; 692/700/478 ; Adipose Tissue ; Analysis ; Anthropometry ; Associated diseases and complications ; Belgium - epidemiology ; Biological and medical sciences ; Body Composition ; Body fat ; Body Height ; Body Mass Index ; Body Weight ; Child ; Child, Preschool ; Diabetes. Impaired glucose tolerance ; Diagnosis ; Electric Impedance ; Elementary school students ; Endocrine pancreas. Apud cells (diseases) ; Endocrinopathies ; Epidemiology ; Female ; General aspects ; Health aspects ; Health Promotion and Disease Prevention ; Health sciences ; Humans ; Internal Medicine ; Kinesiology ; Male ; Medical examination ; Medical sciences ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Models, Biological ; Nutrition research ; Obesity ; Obesity - epidemiology ; Obesity in children ; pediatric-original-article ; Pediatrics ; Pediatrik ; Physiological aspects ; Public Health ; Reference Values ; Sex Distribution ; Skinfold Thickness ; Spain - epidemiology ; Sweden - epidemiology ; United Kingdom - epidemiology ; Validation studies</subject><ispartof>International Journal of Obesity, 2013-04, Vol.37 (4), p.520-526</ispartof><rights>Macmillan Publishers Limited 2013</rights><rights>2014 INIST-CNRS</rights><rights>COPYRIGHT 2013 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Apr 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c557t-6c10d8c33510febd7c943aa994d0adb18a00e48d6a296d87bdca4f9a7e67c71e3</citedby><cites>FETCH-LOGICAL-c557t-6c10d8c33510febd7c943aa994d0adb18a00e48d6a296d87bdca4f9a7e67c71e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27220741$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23399777$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://gup.ub.gu.se/publication/174000$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Bammann, K</creatorcontrib><creatorcontrib>Huybrechts, I</creatorcontrib><creatorcontrib>Vicente-Rodriguez, G</creatorcontrib><creatorcontrib>Easton, C</creatorcontrib><creatorcontrib>De Vriendt, T</creatorcontrib><creatorcontrib>Marild, S</creatorcontrib><creatorcontrib>Mesana, M I</creatorcontrib><creatorcontrib>Peeters, M W</creatorcontrib><creatorcontrib>Reilly, J J</creatorcontrib><creatorcontrib>Sioen, I</creatorcontrib><creatorcontrib>Tubic, B</creatorcontrib><creatorcontrib>Wawro, N</creatorcontrib><creatorcontrib>Wells, J C</creatorcontrib><creatorcontrib>Westerterp, K</creatorcontrib><creatorcontrib>Pitsiladis, Y</creatorcontrib><creatorcontrib>Moreno, L A</creatorcontrib><creatorcontrib>IDEFICS Consortium</creatorcontrib><creatorcontrib>on behalf of the IDEFICS Consortium</creatorcontrib><title>Validation of anthropometry and foot-to-foot bioelectrical resistance against a three-component model to assess total body fat in children: the IDEFICS study</title><title>International Journal of Obesity</title><addtitle>Int J Obes</addtitle><addtitle>Int J Obes (Lond)</addtitle><description>Objective:
To compare different field methods for estimating body fat mass with a reference value derived by a three-component (3C) model in pre-school and school children across Europe.
Design:
Multicentre validation study.
Subjects:
Seventy-eight preschool/school children aged 4–10 years from four different European countries.
Methods:
A standard measurement protocol was carried out in all children by trained field workers. A 3C model was used as the reference method. The field methods included height and weight measurement, circumferences measured at four sites, skinfold measured at two–six sites and foot-to-foot bioelectrical resistance (BIA) via TANITA scales.
Results:
With the exception of height and neck circumference, all single measurements were able to explain at least 74% of the fat-mass variance in the sample. In combination, circumference models were superior to skinfold models and height–weight models. The best predictions were given by trunk models (combining skinfold and circumference measurements) that explained 91% of the observed fat-mass variance. The optimal data-driven model for our sample includes hip circumference, triceps skinfold and total body mass minus resistance index, and explains 94% of the fat-mass variance with 2.44 kg fat mass limits of agreement. In all investigated models, prediction errors were associated with fat mass, although to a lesser degree in the investigated skinfold models, arm models and the data-driven models.
Conclusion:
When studying total body fat in childhood populations, anthropometric measurements will give biased estimations as compared to gold standard measurements. Nevertheless, our study shows that when combining circumference and skinfold measurements, estimations of fat mass can be obtained with a limit of agreement of 1.91 kg in normal weight children and of 2.94 kg in overweight or obese children.</description><subject>692/699/2743/393</subject><subject>692/700/1720</subject><subject>692/700/478</subject><subject>Adipose Tissue</subject><subject>Analysis</subject><subject>Anthropometry</subject><subject>Associated diseases and complications</subject><subject>Belgium - epidemiology</subject><subject>Biological and medical sciences</subject><subject>Body Composition</subject><subject>Body fat</subject><subject>Body Height</subject><subject>Body Mass Index</subject><subject>Body Weight</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Diabetes. Impaired glucose tolerance</subject><subject>Diagnosis</subject><subject>Electric Impedance</subject><subject>Elementary school students</subject><subject>Endocrine pancreas. Apud cells (diseases)</subject><subject>Endocrinopathies</subject><subject>Epidemiology</subject><subject>Female</subject><subject>General aspects</subject><subject>Health aspects</subject><subject>Health Promotion and Disease Prevention</subject><subject>Health sciences</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Kinesiology</subject><subject>Male</subject><subject>Medical examination</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Models, Biological</subject><subject>Nutrition research</subject><subject>Obesity</subject><subject>Obesity - epidemiology</subject><subject>Obesity in children</subject><subject>pediatric-original-article</subject><subject>Pediatrics</subject><subject>Pediatrik</subject><subject>Physiological aspects</subject><subject>Public Health</subject><subject>Reference Values</subject><subject>Sex Distribution</subject><subject>Skinfold Thickness</subject><subject>Spain - epidemiology</subject><subject>Sweden - epidemiology</subject><subject>United Kingdom - epidemiology</subject><subject>Validation studies</subject><issn>0307-0565</issn><issn>1476-5497</issn><issn>1476-5497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNptkktv1DAUhSMEoqWwYo8sIRASZLDjJE7YVUMLI1ViwWNr3dg3Mx4l9tR2hObH8F9xNEMfqPLCr-9c28cny14yumCUNx_N1i0KyviC8UfZKStFnVdlKx5np5RTkdOqrk6yZyFsKaVVRYun2UnBedsKIU6zP79gMBqicZa4noCNG-92bsTo92mmSe9czKPL5550xuGAKnqjYCAegwkRrEICazA2RAIk6RFz5cads2gjGZ3GgURHIAQMIY1iknZO70kPkRhL1MYM2qP9lLRIVp8vLlfL7yTESe-fZ096GAK-OPZn2c_Lix_Lr_nVty-r5flVrqpKxLxWjOpGcV4x2mOnhWpLDtC2paagO9YApVg2uoairXUjOq2g7FsQWAslGPKzLD_UDb9xN3Vy580Ifi8dGLmedjItrScZUDJRJhcT_-7A77y7njBEOZqgcBjAopuCZLyoOGcFZwl9_R-6dZO36TUzVVatYCW9pdYwoDS2d9GDmovKc16IhtW0rhO1eIBKTeNoVPK7N2n9nuDtHcEGYYib4IZp_u5wH3x_AJV3IXjsbyxgVM4pkyllck5ZunWiXx3fNHUj6hv2X6wS8OYIQEhJ6X0KiQm3nCgKKsrZnA9H39OWXaO_Y84D5_4FhyfpGg</recordid><startdate>20130401</startdate><enddate>20130401</enddate><creator>Bammann, K</creator><creator>Huybrechts, I</creator><creator>Vicente-Rodriguez, G</creator><creator>Easton, C</creator><creator>De Vriendt, T</creator><creator>Marild, S</creator><creator>Mesana, M I</creator><creator>Peeters, M W</creator><creator>Reilly, J J</creator><creator>Sioen, I</creator><creator>Tubic, B</creator><creator>Wawro, N</creator><creator>Wells, J C</creator><creator>Westerterp, K</creator><creator>Pitsiladis, Y</creator><creator>Moreno, L A</creator><general>Nature Publishing Group UK</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>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>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>F1U</scope></search><sort><creationdate>20130401</creationdate><title>Validation of anthropometry and foot-to-foot bioelectrical resistance against a three-component model to assess total body fat in children: the IDEFICS study</title><author>Bammann, K ; Huybrechts, I ; Vicente-Rodriguez, G ; Easton, C ; De Vriendt, T ; Marild, S ; Mesana, M I ; Peeters, M W ; Reilly, J J ; Sioen, I ; Tubic, B ; Wawro, N ; Wells, J C ; Westerterp, K ; Pitsiladis, Y ; Moreno, L A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c557t-6c10d8c33510febd7c943aa994d0adb18a00e48d6a296d87bdca4f9a7e67c71e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>692/699/2743/393</topic><topic>692/700/1720</topic><topic>692/700/478</topic><topic>Adipose Tissue</topic><topic>Analysis</topic><topic>Anthropometry</topic><topic>Associated diseases and complications</topic><topic>Belgium - epidemiology</topic><topic>Biological and medical sciences</topic><topic>Body Composition</topic><topic>Body fat</topic><topic>Body Height</topic><topic>Body Mass Index</topic><topic>Body Weight</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Diabetes. Impaired glucose tolerance</topic><topic>Diagnosis</topic><topic>Electric Impedance</topic><topic>Elementary school students</topic><topic>Endocrine pancreas. Apud cells (diseases)</topic><topic>Endocrinopathies</topic><topic>Epidemiology</topic><topic>Female</topic><topic>General aspects</topic><topic>Health aspects</topic><topic>Health Promotion and Disease Prevention</topic><topic>Health sciences</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Kinesiology</topic><topic>Male</topic><topic>Medical examination</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Models, Biological</topic><topic>Nutrition research</topic><topic>Obesity</topic><topic>Obesity - epidemiology</topic><topic>Obesity in children</topic><topic>pediatric-original-article</topic><topic>Pediatrics</topic><topic>Pediatrik</topic><topic>Physiological aspects</topic><topic>Public Health</topic><topic>Reference Values</topic><topic>Sex Distribution</topic><topic>Skinfold Thickness</topic><topic>Spain - epidemiology</topic><topic>Sweden - epidemiology</topic><topic>United Kingdom - epidemiology</topic><topic>Validation studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bammann, K</creatorcontrib><creatorcontrib>Huybrechts, I</creatorcontrib><creatorcontrib>Vicente-Rodriguez, G</creatorcontrib><creatorcontrib>Easton, C</creatorcontrib><creatorcontrib>De Vriendt, T</creatorcontrib><creatorcontrib>Marild, S</creatorcontrib><creatorcontrib>Mesana, M I</creatorcontrib><creatorcontrib>Peeters, M W</creatorcontrib><creatorcontrib>Reilly, J J</creatorcontrib><creatorcontrib>Sioen, I</creatorcontrib><creatorcontrib>Tubic, B</creatorcontrib><creatorcontrib>Wawro, N</creatorcontrib><creatorcontrib>Wells, J C</creatorcontrib><creatorcontrib>Westerterp, K</creatorcontrib><creatorcontrib>Pitsiladis, Y</creatorcontrib><creatorcontrib>Moreno, L A</creatorcontrib><creatorcontrib>IDEFICS Consortium</creatorcontrib><creatorcontrib>on behalf of the IDEFICS Consortium</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>ProQuest_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)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Psychology Journals</collection><collection>ProQuest Biological Science Journals</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>MEDLINE - Academic</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Göteborgs universitet</collection><jtitle>International Journal of Obesity</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bammann, K</au><au>Huybrechts, I</au><au>Vicente-Rodriguez, G</au><au>Easton, C</au><au>De Vriendt, T</au><au>Marild, S</au><au>Mesana, M I</au><au>Peeters, M W</au><au>Reilly, J J</au><au>Sioen, I</au><au>Tubic, B</au><au>Wawro, N</au><au>Wells, J C</au><au>Westerterp, K</au><au>Pitsiladis, Y</au><au>Moreno, L A</au><aucorp>IDEFICS Consortium</aucorp><aucorp>on behalf of the IDEFICS Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of anthropometry and foot-to-foot bioelectrical resistance against a three-component model to assess total body fat in children: the IDEFICS study</atitle><jtitle>International Journal of Obesity</jtitle><stitle>Int J Obes</stitle><addtitle>Int J Obes (Lond)</addtitle><date>2013-04-01</date><risdate>2013</risdate><volume>37</volume><issue>4</issue><spage>520</spage><epage>526</epage><pages>520-526</pages><issn>0307-0565</issn><issn>1476-5497</issn><eissn>1476-5497</eissn><coden>IJOBDP</coden><abstract>Objective:
To compare different field methods for estimating body fat mass with a reference value derived by a three-component (3C) model in pre-school and school children across Europe.
Design:
Multicentre validation study.
Subjects:
Seventy-eight preschool/school children aged 4–10 years from four different European countries.
Methods:
A standard measurement protocol was carried out in all children by trained field workers. A 3C model was used as the reference method. The field methods included height and weight measurement, circumferences measured at four sites, skinfold measured at two–six sites and foot-to-foot bioelectrical resistance (BIA) via TANITA scales.
Results:
With the exception of height and neck circumference, all single measurements were able to explain at least 74% of the fat-mass variance in the sample. In combination, circumference models were superior to skinfold models and height–weight models. The best predictions were given by trunk models (combining skinfold and circumference measurements) that explained 91% of the observed fat-mass variance. The optimal data-driven model for our sample includes hip circumference, triceps skinfold and total body mass minus resistance index, and explains 94% of the fat-mass variance with 2.44 kg fat mass limits of agreement. In all investigated models, prediction errors were associated with fat mass, although to a lesser degree in the investigated skinfold models, arm models and the data-driven models.
Conclusion:
When studying total body fat in childhood populations, anthropometric measurements will give biased estimations as compared to gold standard measurements. Nevertheless, our study shows that when combining circumference and skinfold measurements, estimations of fat mass can be obtained with a limit of agreement of 1.91 kg in normal weight children and of 2.94 kg in overweight or obese children.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>23399777</pmid><doi>10.1038/ijo.2013.13</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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ispartof | International Journal of Obesity, 2013-04, Vol.37 (4), p.520-526 |
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language | eng |
recordid | cdi_swepub_primary_oai_gup_ub_gu_se_174000 |
source | Nature Journals Online |
subjects | 692/699/2743/393 692/700/1720 692/700/478 Adipose Tissue Analysis Anthropometry Associated diseases and complications Belgium - epidemiology Biological and medical sciences Body Composition Body fat Body Height Body Mass Index Body Weight Child Child, Preschool Diabetes. Impaired glucose tolerance Diagnosis Electric Impedance Elementary school students Endocrine pancreas. Apud cells (diseases) Endocrinopathies Epidemiology Female General aspects Health aspects Health Promotion and Disease Prevention Health sciences Humans Internal Medicine Kinesiology Male Medical examination Medical sciences Medicine Medicine & Public Health Metabolic Diseases Models, Biological Nutrition research Obesity Obesity - epidemiology Obesity in children pediatric-original-article Pediatrics Pediatrik Physiological aspects Public Health Reference Values Sex Distribution Skinfold Thickness Spain - epidemiology Sweden - epidemiology United Kingdom - epidemiology Validation studies |
title | Validation of anthropometry and foot-to-foot bioelectrical resistance against a three-component model to assess total body fat in children: the IDEFICS study |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T09%3A11%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Validation%20of%20anthropometry%20and%20foot-to-foot%20bioelectrical%20resistance%20against%20a%20three-component%20model%20to%20assess%20total%20body%20fat%20in%20children:%20the%20IDEFICS%20study&rft.jtitle=International%20Journal%20of%20Obesity&rft.au=Bammann,%20K&rft.aucorp=IDEFICS%20Consortium&rft.date=2013-04-01&rft.volume=37&rft.issue=4&rft.spage=520&rft.epage=526&rft.pages=520-526&rft.issn=0307-0565&rft.eissn=1476-5497&rft.coden=IJOBDP&rft_id=info:doi/10.1038/ijo.2013.13&rft_dat=%3Cgale_swepu%3EA327816066%3C/gale_swepu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c557t-6c10d8c33510febd7c943aa994d0adb18a00e48d6a296d87bdca4f9a7e67c71e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1324597140&rft_id=info:pmid/23399777&rft_galeid=A327816066&rfr_iscdi=true |