Development and validation of anthropometric equations to estimate body composition in adult women

ABSTRACT: To develop anthropometric equations to predict body fat percentage (BF%). Methods: In 151 women (aged 18-59) body weight, height, eight-skinfold thickness (STs), six- circumferences (CIs), and BF% by hydrodensitometry were measured. Subjects data were randomly divided in two groups, equati...

Full description

Autores:
Aristizábal Rivera, Juan Carlos
Giraldo García, Argenis
Estrada Restrepo, Alejandro
Tipo de recurso:
Article of investigation
Fecha de publicación:
2018
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/11643
Acceso en línea:
http://hdl.handle.net/10495/11643
Palabra clave:
Women
Mujeres
Body composition
Composición corporal
Obesity
Obesidad
Anthropometry
Antropometría
Skinfold thickness
Pliegues cutáneos
Body weight
Peso corporal
Rights
openAccess
License
Atribución-NoComercial-CompartirIgual 2.5 Colombia (CC BY-NC-SA 2.5 CO)
id UDEA2_d14d4eff1681ad00d75362f93a9b4c9e
oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/11643
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv Development and validation of anthropometric equations to estimate body composition in adult women
dc.title.alternative.spa.fl_str_mv Desarrollo y validación de ecuaciones antropométricas para estimar la composición corporal en mujeres adultas
title Development and validation of anthropometric equations to estimate body composition in adult women
spellingShingle Development and validation of anthropometric equations to estimate body composition in adult women
Women
Mujeres
Body composition
Composición corporal
Obesity
Obesidad
Anthropometry
Antropometría
Skinfold thickness
Pliegues cutáneos
Body weight
Peso corporal
title_short Development and validation of anthropometric equations to estimate body composition in adult women
title_full Development and validation of anthropometric equations to estimate body composition in adult women
title_fullStr Development and validation of anthropometric equations to estimate body composition in adult women
title_full_unstemmed Development and validation of anthropometric equations to estimate body composition in adult women
title_sort Development and validation of anthropometric equations to estimate body composition in adult women
dc.creator.fl_str_mv Aristizábal Rivera, Juan Carlos
Giraldo García, Argenis
Estrada Restrepo, Alejandro
dc.contributor.author.none.fl_str_mv Aristizábal Rivera, Juan Carlos
Giraldo García, Argenis
Estrada Restrepo, Alejandro
dc.subject.none.fl_str_mv Women
Mujeres
Body composition
Composición corporal
Obesity
Obesidad
Anthropometry
Antropometría
Skinfold thickness
Pliegues cutáneos
Body weight
Peso corporal
topic Women
Mujeres
Body composition
Composición corporal
Obesity
Obesidad
Anthropometry
Antropometría
Skinfold thickness
Pliegues cutáneos
Body weight
Peso corporal
description ABSTRACT: To develop anthropometric equations to predict body fat percentage (BF%). Methods: In 151 women (aged 18-59) body weight, height, eight-skinfold thickness (STs), six- circumferences (CIs), and BF% by hydrodensitometry were measured. Subjects data were randomly divided in two groups, equation-building group (n= 106) and validation group (n= 45). The equation-building group was used to run linear regression models using anthropometric measurements as predictors to find the best prediction equations of the BF%. The validation group was used to compare the performance of the new equations with those of Durnin-Womersley, Jackson-Pollock and Ramirez-Torun. Results: There were two preferred equations: Equation 1= 11.76 + (0.324 x tricipital ST) + (0.133 x calf ST) + (0.347 x abdomen CI) + (0.068 x age) - (0.135 x height) and Equation 2= 11.37 + (0.404 x tricipital ST) + (0.153 x axilar ST) + (0.264 x abdomen CI) + (0.069 x age) - (0.099 x height). There were no significant differences in BF% obtained by hydrodensitometry (31.5 ±5.3) and Equation 1 (31.0 ±4.0) and Equation 2 (31.2 ±4.0). The BF% estimated by Durning-Womersley (35.8 ±4.0), Jackson-Pollock (26.5 ±5.4) and Ramirez-Torun (32.6 ±4.8) differed from hydrodensitometry (p <0.05). The interclass correlation coefficient (ICC) was high between hydrodensitometry and Equation 1 (ICC= 0.77), Equation 2 (ICC= 0.76), and Ramirez-Torun equation (ICC= 0.75). The ICC was low between hydrodensitometry and Durnin-Womersley (ICC= 0.51) and Jackson-Pollock (ICC= 0.53) equations. Conclusion: The new Equations-1 and 2, performed better than the commonly used anthropometric equations to predict BF% in adult women.
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2019-08-14T12:44:05Z
dc.date.available.none.fl_str_mv 2019-08-14T12:44:05Z
dc.type.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.hasversion.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/ART
dc.type.local.spa.fl_str_mv Artículo de investigación
format http://purl.org/coar/resource_type/c_2df8fbb1
status_str publishedVersion
dc.identifier.citation.spa.fl_str_mv Aristizábal JC, Giraldo A, Estrada-Restrepo A. Development and validation of anthropometric equations to estimate body composition in adult women. Colomb Med. 2018; 49(2): 154-9. DOI: 10.25100/cm.v49i2.3643
dc.identifier.issn.none.fl_str_mv 0120-8322
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/11643
dc.identifier.doi.none.fl_str_mv 10.25100/cm.v49i2.3643
dc.identifier.eissn.none.fl_str_mv 1657-9534
identifier_str_mv Aristizábal JC, Giraldo A, Estrada-Restrepo A. Development and validation of anthropometric equations to estimate body composition in adult women. Colomb Med. 2018; 49(2): 154-9. DOI: 10.25100/cm.v49i2.3643
0120-8322
10.25100/cm.v49i2.3643
1657-9534
url http://hdl.handle.net/10495/11643
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Colomb. Med.
dc.rights.*.fl_str_mv Atribución-NoComercial-CompartirIgual 2.5 Colombia (CC BY-NC-SA 2.5 CO)
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.*.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/co/
dc.rights.accessrights.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.creativecommons.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 2.5 Colombia (CC BY-NC-SA 2.5 CO)
https://creativecommons.org/licenses/by-nc-sa/2.5/co/
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Colombia Médica
dc.publisher.group.spa.fl_str_mv Grupo de Investigación en Fisiología y Bioquímica - Physis
Demografía y Salud
dc.publisher.place.spa.fl_str_mv Cali, Colombia
institution Universidad de Antioquia
bitstream.url.fl_str_mv https://bibliotecadigital.udea.edu.co/bitstream/10495/11643/3/AristizabalJuan_2018_DevelopmentValidationAnthropometricEquations.pdf
https://bibliotecadigital.udea.edu.co/bitstream/10495/11643/4/license.txt
bitstream.checksum.fl_str_mv 0b09a29df152ce3547ff6444edf04177
8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad de Antioquia
repository.mail.fl_str_mv andres.perez@udea.edu.co
_version_ 1812173175940710400
spelling Aristizábal Rivera, Juan CarlosGiraldo García, ArgenisEstrada Restrepo, Alejandro2019-08-14T12:44:05Z2019-08-14T12:44:05Z2018Aristizábal JC, Giraldo A, Estrada-Restrepo A. Development and validation of anthropometric equations to estimate body composition in adult women. Colomb Med. 2018; 49(2): 154-9. DOI: 10.25100/cm.v49i2.36430120-8322http://hdl.handle.net/10495/1164310.25100/cm.v49i2.36431657-9534ABSTRACT: To develop anthropometric equations to predict body fat percentage (BF%). Methods: In 151 women (aged 18-59) body weight, height, eight-skinfold thickness (STs), six- circumferences (CIs), and BF% by hydrodensitometry were measured. Subjects data were randomly divided in two groups, equation-building group (n= 106) and validation group (n= 45). The equation-building group was used to run linear regression models using anthropometric measurements as predictors to find the best prediction equations of the BF%. The validation group was used to compare the performance of the new equations with those of Durnin-Womersley, Jackson-Pollock and Ramirez-Torun. Results: There were two preferred equations: Equation 1= 11.76 + (0.324 x tricipital ST) + (0.133 x calf ST) + (0.347 x abdomen CI) + (0.068 x age) - (0.135 x height) and Equation 2= 11.37 + (0.404 x tricipital ST) + (0.153 x axilar ST) + (0.264 x abdomen CI) + (0.069 x age) - (0.099 x height). There were no significant differences in BF% obtained by hydrodensitometry (31.5 ±5.3) and Equation 1 (31.0 ±4.0) and Equation 2 (31.2 ±4.0). The BF% estimated by Durning-Womersley (35.8 ±4.0), Jackson-Pollock (26.5 ±5.4) and Ramirez-Torun (32.6 ±4.8) differed from hydrodensitometry (p <0.05). The interclass correlation coefficient (ICC) was high between hydrodensitometry and Equation 1 (ICC= 0.77), Equation 2 (ICC= 0.76), and Ramirez-Torun equation (ICC= 0.75). The ICC was low between hydrodensitometry and Durnin-Womersley (ICC= 0.51) and Jackson-Pollock (ICC= 0.53) equations. Conclusion: The new Equations-1 and 2, performed better than the commonly used anthropometric equations to predict BF% in adult women.RESUMEN: Desarrollar ecuaciones antropométricas para predecir el porcentaje de grasa corporal (% GC). Métodos: En 151 mujeres (18-59 años) se midieron peso corporal, estatura, ocho pliegues cutáneos (PCs), seis perímetros (PEs) y el %GC por hidrodensitometría. Se formaron dos grupos al azar, desarrollo de ecuaciones (n= 106) y validación (n= 45). En el grupo desarrollo ecuaciones se calcularon modelos de regresión lineal, con las medidas antropométricas como predictores, para encontrar la mejor ecuación de predicción del %GC. El grupo validación se utilizó para comparar el desempeño de las nuevas ecuaciones con las de Durnin-Womersley, Jackson-Pollock y Ramírez-Torun. Resultados: Se seleccionaron dos ecuaciones: Ecuación-1= 11.76 + (0.324 x tríceps PC) + (0.133 x pantorrilla-medial PC) + (0.347 x abdomen PE) + (0.068 x edad-años) - (0.135 x estatura) y Ecuación-2= 11.37 + (0.404 x tríceps PC) + (0.153 x axilar PC) + (0.264 x abdomen PE) + (0.069 x edad-años) - (0.099 x estatura). No hubo diferencias significativas en el %GC obtenido por hidrodensitometría (31.5 ±5.3) y Ecuación-1 (31.0 ±4.0) o Ecuación-2 (31.2 ±4.0). Los %GC estimados por Durning-Womersley (35.8 ±4.0), Jackson-Pollock (26.5 ±5.4) y Ramírez-Torun (32.6 ±4.8) fueron diferentes del obtenido por hidrodensitometría (p <0.05). El coeficiente de correlación intraclase (ICC) fue alto entre hidrodensitometría y las Ecuaciones 1 (ICC= 0.77), 2 (ICC= 0.76), y Ramírez-Torun (ICC= 0.75). El ICC fue bajo entre hidrodensitometría y Durnin-Womersley (ICC= 0.51) y Jackson-Pollock (ICC= 0.53). Conclusión: Las nuevas ecuaciones 1 y 2 presentaron mejor rendimiento que las ecuaciones tradicionales para predecir el %GC en mujeres adultas.COL0003249COL0007328application/pdfengColombia MédicaGrupo de Investigación en Fisiología y Bioquímica - PhysisDemografía y SaludCali, Colombiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85Atribución-NoComercial-CompartirIgual 2.5 Colombia (CC BY-NC-SA 2.5 CO)info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-sa/4.0/WomenMujeresBody compositionComposición corporalObesityObesidadAnthropometryAntropometríaSkinfold thicknessPliegues cutáneosBody weightPeso corporalDevelopment and validation of anthropometric equations to estimate body composition in adult womenDesarrollo y validación de ecuaciones antropométricas para estimar la composición corporal en mujeres adultasColomb. Med.Colombia Médica15415949ORIGINALAristizabalJuan_2018_DevelopmentValidationAnthropometricEquations.pdfAristizabalJuan_2018_DevelopmentValidationAnthropometricEquations.pdfArtículo de investigaciónapplication/pdf218456https://bibliotecadigital.udea.edu.co/bitstream/10495/11643/3/AristizabalJuan_2018_DevelopmentValidationAnthropometricEquations.pdf0b09a29df152ce3547ff6444edf04177MD53LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstream/10495/11643/4/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5410495/11643oai:bibliotecadigital.udea.edu.co:10495/116432022-11-24 17:51:29.512Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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