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...
- 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 |