Predictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometry

The body adiposity index (BAI) is a recent anthropometric measure proven to be valid in predicting body fat percentage (BF%) in some populations. However, the results have been inconsistent across populations. This study was designed to verify the validity of BAI in predicting BF% in a sample of ove...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/15195
Acceso en línea:
https://doi.org/10.3390/nu8120737
http://repository.urosario.edu.co/handle/10336/15195
Palabra clave:
Body Composition
Validity
Prediction
Obesity
Adults
Fisiología humana
Obesidad
Adiposidad
Dislipidemias
Síndrome Metabólico
Rights
License
Abierto (Texto Completo)
id EDOCUR2_637001110de5d891ffc53a53050496b3
oai_identifier_str oai:repository.urosario.edu.co:10336/15195
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling Centro de Estudios en Medición de la Actividad Física (CEMA)Ramírez-Vélez, RobinsonCorrea Bautista, Jorge EnriqueGonzález-Ruíz, KatherineTriana Reina, Héctor ReynaldoVivas, AndrésGarcía-Hermoso, AntonioRamírez-Vélez, RobinsonCorrea Bautista, Jorge EnriqueGonzález-Ruíz, KatherineTriana Reina, Héctor ReynaldoGarcía-Hermoso, AntonioVivas, Andrés9451818360079139103600f1a10950-765f-43f6-8f08-ed8bb300bb28600bfbd655d-af89-4caf-ab65-18d07d0727d160026443af5-986b-4c5c-9991-ca6859531fe4600d1123b4d-11e1-4338-99f1-023fe485bb276002018-03-05T12:25:42Z2018-03-05T12:25:42Z2016-112016The body adiposity index (BAI) is a recent anthropometric measure proven to be valid in predicting body fat percentage (BF%) in some populations. However, the results have been inconsistent across populations. This study was designed to verify the validity of BAI in predicting BF% in a sample of overweight/obese adults, using dual-energy X-ray absorptiometry (DEXA) as the reference method. A cross-sectional study was conducted in 48 participants (54% women, mean age 41.0 ± 7.3 years old). DEXA was used as the “gold standard” to determine BF%. Pearson’s correlation coefficient was used to evaluate the association between BAI and BF%, as assessed by DEXA. A paired sample t-test was used to test differences in mean BF% obtained with BAI and DEXA methods. To evaluate the concordance between BF% as measured by DEXA and as estimated by BAI, we used Lin’s concordance correlation coefficient and Bland–Altman agreement analysis. The correlation between BF% obtained by DEXA and that estimated by BAI was r = 0.844, p < 0.001. Paired t-test showed a significant mean difference in BF% between methods (BAI = 33.3 ± 6.2 vs. DEXA 39.0 ± 6.1; p < 0.001). The bias of the BAI was −6.0 ± 3.0 BF% (95% CI = −12.0 to 1.0), indicating that the BAI method significantly underestimated the BF% compared to the reference method. Lin’s concordance correlation coefficient was considered stronger (ρc = 0.923, 95% CI = 0.862 to 0.957). In obese adults, BAI presented low agreement with BF% measured by DEXA; therefore, BAI is not recommended for BF% prediction in this overweight/obese sample studied.application/pdfhttps://doi.org/10.3390/nu81207372072-6643http://repository.urosario.edu.co/handle/10336/15195eng111NutrientsNutrients, ISSN 2072-6643 (2016); pp. 1-11http://www.mdpi.com/2072-6643/8/12/737Abierto (Texto Completo)http://www.mdpi.com/about/openaccesshttp://www.sherpa.ac.uk/romeo/issn/272-6643/es/http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURBody CompositionValidityPredictionObesityAdultsFisiología humana612600ObesidadAdiposidadDislipidemiasSíndrome MetabólicoPredictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometryarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501ORIGINALPDF9.pdfapplication/pdf410577https://repository.urosario.edu.co/bitstreams/8355ceeb-24f8-4e25-adf2-460cffd0e130/downloadfe3a017de6e676986df344ec76c77255MD51TEXTPDF9.pdf.txtPDF9.pdf.txtExtracted texttext/plain38819https://repository.urosario.edu.co/bitstreams/977a3ab8-3a83-409d-86e9-1a243a16c5a1/download5f9fed94e4a438853213b9d4d84e424bMD54THUMBNAILPDF9.pdf.jpgPDF9.pdf.jpgGenerated Thumbnailimage/jpeg4842https://repository.urosario.edu.co/bitstreams/b50e7faa-6b9a-42bb-b979-018f9277e2df/download992d36f31d711e85478fc96f74dc7198MD5510336/15195oai:repository.urosario.edu.co:10336/151952020-05-12 05:52:02.205http://www.sherpa.ac.uk/romeo/issn/272-6643/es/https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Predictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometry
title Predictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometry
spellingShingle Predictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometry
Body Composition
Validity
Prediction
Obesity
Adults
Fisiología humana
Obesidad
Adiposidad
Dislipidemias
Síndrome Metabólico
title_short Predictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometry
title_full Predictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometry
title_fullStr Predictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometry
title_full_unstemmed Predictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometry
title_sort Predictive validity of the body adiposity index in overweight and obese adults using dual-energy X-ray absorptiometry
dc.contributor.gruplac.spa.fl_str_mv Centro de Estudios en Medición de la Actividad Física (CEMA)
dc.subject.spa.fl_str_mv Body Composition
Validity
Prediction
Obesity
Adults
topic Body Composition
Validity
Prediction
Obesity
Adults
Fisiología humana
Obesidad
Adiposidad
Dislipidemias
Síndrome Metabólico
dc.subject.ddc.none.fl_str_mv Fisiología humana
dc.subject.decs.spa.fl_str_mv Obesidad
Adiposidad
Dislipidemias
Síndrome Metabólico
description The body adiposity index (BAI) is a recent anthropometric measure proven to be valid in predicting body fat percentage (BF%) in some populations. However, the results have been inconsistent across populations. This study was designed to verify the validity of BAI in predicting BF% in a sample of overweight/obese adults, using dual-energy X-ray absorptiometry (DEXA) as the reference method. A cross-sectional study was conducted in 48 participants (54% women, mean age 41.0 ± 7.3 years old). DEXA was used as the “gold standard” to determine BF%. Pearson’s correlation coefficient was used to evaluate the association between BAI and BF%, as assessed by DEXA. A paired sample t-test was used to test differences in mean BF% obtained with BAI and DEXA methods. To evaluate the concordance between BF% as measured by DEXA and as estimated by BAI, we used Lin’s concordance correlation coefficient and Bland–Altman agreement analysis. The correlation between BF% obtained by DEXA and that estimated by BAI was r = 0.844, p < 0.001. Paired t-test showed a significant mean difference in BF% between methods (BAI = 33.3 ± 6.2 vs. DEXA 39.0 ± 6.1; p < 0.001). The bias of the BAI was −6.0 ± 3.0 BF% (95% CI = −12.0 to 1.0), indicating that the BAI method significantly underestimated the BF% compared to the reference method. Lin’s concordance correlation coefficient was considered stronger (ρc = 0.923, 95% CI = 0.862 to 0.957). In obese adults, BAI presented low agreement with BF% measured by DEXA; therefore, BAI is not recommended for BF% prediction in this overweight/obese sample studied.
publishDate 2016
dc.date.created.none.fl_str_mv 2016-11
dc.date.issued.none.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2018-03-05T12:25:42Z
dc.date.available.none.fl_str_mv 2018-03-05T12:25:42Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.3390/nu8120737
dc.identifier.issn.none.fl_str_mv 2072-6643
dc.identifier.uri.none.fl_str_mv http://repository.urosario.edu.co/handle/10336/15195
url https://doi.org/10.3390/nu8120737
http://repository.urosario.edu.co/handle/10336/15195
identifier_str_mv 2072-6643
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 11
dc.relation.citationStartPage.none.fl_str_mv 1
dc.relation.citationTitle.none.fl_str_mv Nutrients
dc.relation.ispartof.spa.fl_str_mv Nutrients, ISSN 2072-6643 (2016); pp. 1-11
dc.relation.uri.none.fl_str_mv http://www.mdpi.com/2072-6643/8/12/737
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
dc.rights.cc.spa.fl_str_mv http://www.mdpi.com/about/openaccess
dc.rights.uri.none.fl_str_mv http://www.sherpa.ac.uk/romeo/issn/272-6643/es/
rights_invalid_str_mv Abierto (Texto Completo)
http://www.mdpi.com/about/openaccess
http://www.sherpa.ac.uk/romeo/issn/272-6643/es/
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
bitstream.url.fl_str_mv https://repository.urosario.edu.co/bitstreams/8355ceeb-24f8-4e25-adf2-460cffd0e130/download
https://repository.urosario.edu.co/bitstreams/977a3ab8-3a83-409d-86e9-1a243a16c5a1/download
https://repository.urosario.edu.co/bitstreams/b50e7faa-6b9a-42bb-b979-018f9277e2df/download
bitstream.checksum.fl_str_mv fe3a017de6e676986df344ec76c77255
5f9fed94e4a438853213b9d4d84e424b
992d36f31d711e85478fc96f74dc7198
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
_version_ 1814167430129254400