Association between anthropometric indices and cardiometabolic risk factors in pre-school children

ABSTRACT: The world health organization (WHO) and the Identification and prevention of dietary- and lifestyle-induced health effects in children and infants- study (IDEFICS), released anthropometric reference values obtained from normal body weight children. This study examined the relationship betw...

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Autores:
Aristizábal Rivera, Juan Carlos
Barona Acevedo, María Jacqueline
Hoyos Gómez, Gloria Marcela
Ruiz Pineda, Adriana Marcela
Marín Echeverri, Catalina
Tipo de recurso:
Article of investigation
Fecha de publicación:
2015
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/11921
Acceso en línea:
http://hdl.handle.net/10495/11921
Palabra clave:
Obesidad Pediátrica
Pediatric Obesity
Resistencia a la Insulina
Insulin Resistance
Índice de Masa Corporal
Body Mass Index
Preescolar
Child, Preschool
Circunferencia de la Cintura
Waist Circumference
Relación Cintura-Estatura
Waist-Height Ratio
Grosor de los Pliegues Cutáneos
Skinfold Thickness
Riesgo cardiovascular
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia
id UDEA2_f0c01fb59ce296dc6e78889f25ab552d
oai_identifier_str oai:bibliotecadigital.udea.edu.co:10495/11921
network_acronym_str UDEA2
network_name_str Repositorio UdeA
repository_id_str
dc.title.spa.fl_str_mv Association between anthropometric indices and cardiometabolic risk factors in pre-school children
title Association between anthropometric indices and cardiometabolic risk factors in pre-school children
spellingShingle Association between anthropometric indices and cardiometabolic risk factors in pre-school children
Obesidad Pediátrica
Pediatric Obesity
Resistencia a la Insulina
Insulin Resistance
Índice de Masa Corporal
Body Mass Index
Preescolar
Child, Preschool
Circunferencia de la Cintura
Waist Circumference
Relación Cintura-Estatura
Waist-Height Ratio
Grosor de los Pliegues Cutáneos
Skinfold Thickness
Riesgo cardiovascular
title_short Association between anthropometric indices and cardiometabolic risk factors in pre-school children
title_full Association between anthropometric indices and cardiometabolic risk factors in pre-school children
title_fullStr Association between anthropometric indices and cardiometabolic risk factors in pre-school children
title_full_unstemmed Association between anthropometric indices and cardiometabolic risk factors in pre-school children
title_sort Association between anthropometric indices and cardiometabolic risk factors in pre-school children
dc.creator.fl_str_mv Aristizábal Rivera, Juan Carlos
Barona Acevedo, María Jacqueline
Hoyos Gómez, Gloria Marcela
Ruiz Pineda, Adriana Marcela
Marín Echeverri, Catalina
dc.contributor.author.none.fl_str_mv Aristizábal Rivera, Juan Carlos
Barona Acevedo, María Jacqueline
Hoyos Gómez, Gloria Marcela
Ruiz Pineda, Adriana Marcela
Marín Echeverri, Catalina
dc.subject.decs.none.fl_str_mv Obesidad Pediátrica
Pediatric Obesity
Resistencia a la Insulina
Insulin Resistance
Índice de Masa Corporal
Body Mass Index
Preescolar
Child, Preschool
Circunferencia de la Cintura
Waist Circumference
Relación Cintura-Estatura
Waist-Height Ratio
Grosor de los Pliegues Cutáneos
Skinfold Thickness
topic Obesidad Pediátrica
Pediatric Obesity
Resistencia a la Insulina
Insulin Resistance
Índice de Masa Corporal
Body Mass Index
Preescolar
Child, Preschool
Circunferencia de la Cintura
Waist Circumference
Relación Cintura-Estatura
Waist-Height Ratio
Grosor de los Pliegues Cutáneos
Skinfold Thickness
Riesgo cardiovascular
dc.subject.proposal.spa.fl_str_mv Riesgo cardiovascular
description ABSTRACT: The world health organization (WHO) and the Identification and prevention of dietary- and lifestyle-induced health effects in children and infants- study (IDEFICS), released anthropometric reference values obtained from normal body weight children. This study examined the relationship between WHO [body mass index (BMI) and triceps- and subscapular-skinfolds], and IDEFICS (waist circumference, waist to height ratio and fat mass index) anthropometric indices with cardiometabolic risk factors in pre-school children ranging from normal body weight to obesity. Methods: A cross-sectional study with 232 children (aged 4.1 ± 0.05 years) was performed. Anthropometric measurements were collected and BMI, waist circumference, waist to height ratio, triceps- and subscapular-skinfolds sum and fat mass index were calculated. Fasting glucose, fasting insulin, homeostasis model analysis insulin resistance (HOMA-IR), blood lipids and apolipoprotein (Apo) B-100 (Apo B) and Apo A-I were determined. Pearson’s correlation coefficient, multiple regression analysis and the receiver-operating characteristic (ROC) curve analysis were run. Results: 51 % (n = 73) of the boys and 52 % (n = 47) of the girls were of normal body weight, 49 % (n = 69) of the boys and 48 % (n = 43) of the girls were overweight or obese. Anthropometric indices correlated (p < 0.001) with insulin: [BMI (r = 0.514), waist circumference (r = 0.524), waist to height ratio (r = 0.304), triceps- and subscapular-skinfolds sum (r = 0.514) and fat mass index (r = 0.500)], and HOMA-IR: [BMI (r = 0.509), waist circumference (r = 0.521), waist to height ratio (r = 0.296), triceps- and subscapular-skinfolds sum (r = 0.483) and fat mass index (r = 0.492)]. Similar results were obtained after adjusting by age and sex. The areas under the curve (AUC) to identify children with insulin resistance were significant (p < 0.001) and similar among anthropometric indices (AUC > 0.68 to AUC < 0.76). Conclusions: WHO and IDEFICS anthropometric indices correlated similarly with fasting insulin and HOMA-IR. The diagnostic accuracy of the anthropometric indices as a proxy to identify children with insulin resistance was similar. These data do not support the use of waist circumference, waist to height ratio, triceps- and subscapular- skinfolds sum or fat mass index, instead of the BMI as a proxy to identify pre-school children with insulin resistance, the most frequent alteration found in children ranging from normal body weight to obesity.
publishDate 2015
dc.date.issued.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2019-09-02T21:27:41Z
dc.date.available.none.fl_str_mv 2019-09-02T21:27:41Z
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
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dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/ART
dc.type.local.spa.fl_str_mv Artículo de investigación
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dc.identifier.citation.spa.fl_str_mv Aristizábal J, Barona J, Hoyos M, Ruiz M, Marín C. Association between anthropometric indices and cardiometabolic risk factors in pre-school children. BMC Pediatrics. 2015; 15(1): 170. DOI 10.1186/s12887-015-0500-y
dc.identifier.issn.none.fl_str_mv 1471-2431
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10495/11921
dc.identifier.doi.none.fl_str_mv 10.1186/s12887-015-0500-y
identifier_str_mv Aristizábal J, Barona J, Hoyos M, Ruiz M, Marín C. Association between anthropometric indices and cardiometabolic risk factors in pre-school children. BMC Pediatrics. 2015; 15(1): 170. DOI 10.1186/s12887-015-0500-y
1471-2431
10.1186/s12887-015-0500-y
url http://hdl.handle.net/10495/11921
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv BMC Pediatrics
dc.rights.*.fl_str_mv Atribución-NoComercial-SinDerivadas 2.5 Colombia
dc.rights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/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-nd/4.0/
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 2.5 Colombia
http://creativecommons.org/licenses/by-nc-nd/2.5/co/
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Springer Nature
dc.publisher.group.spa.fl_str_mv Grupo de Investigación en Fisiología y Bioquímica - Physis
Grupo de Investigación en Microbiología Básica y Aplicada-Microba
Toxinología, Alternativas Terapéuticas y Alimentarias
dc.publisher.place.spa.fl_str_mv Londres, Inglaterra
institution Universidad de Antioquia
bitstream.url.fl_str_mv http://bibliotecadigital.udea.edu.co/bitstream/10495/11921/1/AristizabalJuan_2015_AssociationAnthropometric.pdf
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repository.name.fl_str_mv Repositorio Institucional Universidad de Antioquia
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spelling Aristizábal Rivera, Juan CarlosBarona Acevedo, María JacquelineHoyos Gómez, Gloria MarcelaRuiz Pineda, Adriana MarcelaMarín Echeverri, Catalina2019-09-02T21:27:41Z2019-09-02T21:27:41Z2015Aristizábal J, Barona J, Hoyos M, Ruiz M, Marín C. Association between anthropometric indices and cardiometabolic risk factors in pre-school children. BMC Pediatrics. 2015; 15(1): 170. DOI 10.1186/s12887-015-0500-y1471-2431http://hdl.handle.net/10495/1192110.1186/s12887-015-0500-yABSTRACT: The world health organization (WHO) and the Identification and prevention of dietary- and lifestyle-induced health effects in children and infants- study (IDEFICS), released anthropometric reference values obtained from normal body weight children. This study examined the relationship between WHO [body mass index (BMI) and triceps- and subscapular-skinfolds], and IDEFICS (waist circumference, waist to height ratio and fat mass index) anthropometric indices with cardiometabolic risk factors in pre-school children ranging from normal body weight to obesity. Methods: A cross-sectional study with 232 children (aged 4.1 ± 0.05 years) was performed. Anthropometric measurements were collected and BMI, waist circumference, waist to height ratio, triceps- and subscapular-skinfolds sum and fat mass index were calculated. Fasting glucose, fasting insulin, homeostasis model analysis insulin resistance (HOMA-IR), blood lipids and apolipoprotein (Apo) B-100 (Apo B) and Apo A-I were determined. Pearson’s correlation coefficient, multiple regression analysis and the receiver-operating characteristic (ROC) curve analysis were run. Results: 51 % (n = 73) of the boys and 52 % (n = 47) of the girls were of normal body weight, 49 % (n = 69) of the boys and 48 % (n = 43) of the girls were overweight or obese. Anthropometric indices correlated (p < 0.001) with insulin: [BMI (r = 0.514), waist circumference (r = 0.524), waist to height ratio (r = 0.304), triceps- and subscapular-skinfolds sum (r = 0.514) and fat mass index (r = 0.500)], and HOMA-IR: [BMI (r = 0.509), waist circumference (r = 0.521), waist to height ratio (r = 0.296), triceps- and subscapular-skinfolds sum (r = 0.483) and fat mass index (r = 0.492)]. Similar results were obtained after adjusting by age and sex. The areas under the curve (AUC) to identify children with insulin resistance were significant (p < 0.001) and similar among anthropometric indices (AUC > 0.68 to AUC < 0.76). Conclusions: WHO and IDEFICS anthropometric indices correlated similarly with fasting insulin and HOMA-IR. The diagnostic accuracy of the anthropometric indices as a proxy to identify children with insulin resistance was similar. These data do not support the use of waist circumference, waist to height ratio, triceps- and subscapular- skinfolds sum or fat mass index, instead of the BMI as a proxy to identify pre-school children with insulin resistance, the most frequent alteration found in children ranging from normal body weight to obesity.COL0014476COL0007328COL0126131application/pdfengSpringer NatureGrupo de Investigación en Fisiología y Bioquímica - PhysisGrupo de Investigación en Microbiología Básica y Aplicada-MicrobaToxinología, Alternativas Terapéuticas y AlimentariasLondres, Inglaterrainfo: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-SinDerivadas 2.5 Colombiainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc-nd/4.0/Association between anthropometric indices and cardiometabolic risk factors in pre-school childrenObesidad PediátricaPediatric ObesityResistencia a la InsulinaInsulin ResistanceÍndice de Masa CorporalBody Mass IndexPreescolarChild, PreschoolCircunferencia de la CinturaWaist CircumferenceRelación Cintura-EstaturaWaist-Height RatioGrosor de los Pliegues CutáneosSkinfold ThicknessRiesgo cardiovascularBMC PediatricsBMC Pediatrics18151ORIGINALAristizabalJuan_2015_AssociationAnthropometric.pdfAristizabalJuan_2015_AssociationAnthropometric.pdfArtículo de investigaciónapplication/pdf523805http://bibliotecadigital.udea.edu.co/bitstream/10495/11921/1/AristizabalJuan_2015_AssociationAnthropometric.pdf5e26c878c4cd84bb493a70b07ed5cc9fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://bibliotecadigital.udea.edu.co/bitstream/10495/11921/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5210495/11921oai:bibliotecadigital.udea.edu.co:10495/119212022-04-22 10:22:29.934Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.coTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=