Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study
Descripción del Articulo
Aims: To determine the predictive performance of well-known obesity markers: body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR), and total body fat percentage (TBF%), to identify incident cases of type 2 diabetes mellitus T2DM. Methods: Secondary data a...
Autores: | , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
Repositorio: | CONCYTEC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/2456 |
Enlace del recurso: | https://hdl.handle.net/20.500.12390/2456 https://doi.org/10.1016/j.diabres.2020.108494 |
Nivel de acceso: | acceso abierto |
Materia: | Diabetes mellitus Adiposity Bioelectrical impedance http://purl.org/pe-repo/ocde/ford#3.02.18 |
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CONCYTEC-Institucional |
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4689 |
dc.title.none.fl_str_mv |
Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study |
title |
Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study |
spellingShingle |
Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study Zafra-Tanaka J.H. Diabetes mellitus Adiposity Bioelectrical impedance http://purl.org/pe-repo/ocde/ford#3.02.18 |
title_short |
Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study |
title_full |
Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study |
title_fullStr |
Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study |
title_full_unstemmed |
Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study |
title_sort |
Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study |
author |
Zafra-Tanaka J.H. |
author_facet |
Zafra-Tanaka J.H. Miranda J.J. Gilman R.H. Checkley W. Smeeth L. Bernabe-Ortiz A. |
author_role |
author |
author2 |
Miranda J.J. Gilman R.H. Checkley W. Smeeth L. Bernabe-Ortiz A. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Zafra-Tanaka J.H. Miranda J.J. Gilman R.H. Checkley W. Smeeth L. Bernabe-Ortiz A. |
dc.subject.none.fl_str_mv |
Diabetes mellitus |
topic |
Diabetes mellitus Adiposity Bioelectrical impedance http://purl.org/pe-repo/ocde/ford#3.02.18 |
dc.subject.es_PE.fl_str_mv |
Adiposity Bioelectrical impedance |
dc.subject.ocde.none.fl_str_mv |
http://purl.org/pe-repo/ocde/ford#3.02.18 |
description |
Aims: To determine the predictive performance of well-known obesity markers: body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR), and total body fat percentage (TBF%), to identify incident cases of type 2 diabetes mellitus T2DM. Methods: Secondary data analysis of the CRONICAS Cohort Study, conducted in 3 regions of Peru. Participants without T2DM at baseline were selected for analyses. The obesity markers were evaluated at the beginning of the study, and the development of T2DM was determined at 30 months of follow-up. The predictive performance of the markers was calculated using areas under the curve (AUC), and sensitivity and specificity of the best cutoff points were estimated. Results: A total of 2510 participants with no diabetes at baseline, median age 54.1 years (inter-quartile range: 44.6 to 63.5), were included in the analysis. The cumulative incidence of T2DM at 30 months of follow-up was 4.7%. All the AUC studied for obesity markers and TBF% were poor. Conclusions: We found that obesity markers had a poor predictive performance (AUC) for the incidence of T2DM when used alone. The BMI, WC and WHtR had better performance for the incidence of T2DM relative to the WHR among women, and no differences in performance between obesity markers were found among men. © 2020 Elsevier B.V. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.issued.fl_str_mv |
2020 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/2456 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1016/j.diabres.2020.108494 |
dc.identifier.scopus.none.fl_str_mv |
2-s2.0-85093655200 |
url |
https://hdl.handle.net/20.500.12390/2456 https://doi.org/10.1016/j.diabres.2020.108494 |
identifier_str_mv |
2-s2.0-85093655200 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
Diabetes Research and Clinical Practice |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier Ireland Ltd |
publisher.none.fl_str_mv |
Elsevier Ireland Ltd |
dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
instacron_str |
CONCYTEC |
institution |
CONCYTEC |
reponame_str |
CONCYTEC-Institucional |
collection |
CONCYTEC-Institucional |
repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
_version_ |
1839175626068590592 |
spelling |
Publicationrp06213600rp00670600rp00604600rp00900600rp02092600rp01195600Zafra-Tanaka J.H.Miranda J.J.Gilman R.H.Checkley W.Smeeth L.Bernabe-Ortiz A.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020https://hdl.handle.net/20.500.12390/2456https://doi.org/10.1016/j.diabres.2020.1084942-s2.0-85093655200Aims: To determine the predictive performance of well-known obesity markers: body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR), and total body fat percentage (TBF%), to identify incident cases of type 2 diabetes mellitus T2DM. Methods: Secondary data analysis of the CRONICAS Cohort Study, conducted in 3 regions of Peru. Participants without T2DM at baseline were selected for analyses. The obesity markers were evaluated at the beginning of the study, and the development of T2DM was determined at 30 months of follow-up. The predictive performance of the markers was calculated using areas under the curve (AUC), and sensitivity and specificity of the best cutoff points were estimated. Results: A total of 2510 participants with no diabetes at baseline, median age 54.1 years (inter-quartile range: 44.6 to 63.5), were included in the analysis. The cumulative incidence of T2DM at 30 months of follow-up was 4.7%. All the AUC studied for obesity markers and TBF% were poor. Conclusions: We found that obesity markers had a poor predictive performance (AUC) for the incidence of T2DM when used alone. The BMI, WC and WHtR had better performance for the incidence of T2DM relative to the WHR among women, and no differences in performance between obesity markers were found among men. © 2020 Elsevier B.V.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengElsevier Ireland LtdDiabetes Research and Clinical Practiceinfo:eu-repo/semantics/openAccessDiabetes mellitusAdiposity-1Bioelectrical impedance-1http://purl.org/pe-repo/ocde/ford#3.02.18-1Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Studyinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2456oai:repositorio.concytec.gob.pe:20.500.12390/24562024-05-30 16:08:22.735http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="840f302e-5814-47b5-935c-c1014d5c2c81"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study</Title> <PublishedIn> <Publication> <Title>Diabetes Research and Clinical Practice</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <DOI>https://doi.org/10.1016/j.diabres.2020.108494</DOI> <SCP-Number>2-s2.0-85093655200</SCP-Number> <Authors> <Author> <DisplayName>Zafra-Tanaka J.H.</DisplayName> <Person id="rp06213" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Miranda J.J.</DisplayName> <Person id="rp00670" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Gilman R.H.</DisplayName> <Person id="rp00604" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Checkley W.</DisplayName> <Person id="rp00900" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Smeeth L.</DisplayName> <Person id="rp02092" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Bernabe-Ortiz A.</DisplayName> <Person id="rp01195" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Elsevier Ireland Ltd</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Diabetes mellitus</Keyword> <Keyword>Adiposity</Keyword> <Keyword>Bioelectrical impedance</Keyword> <Abstract>Aims: To determine the predictive performance of well-known obesity markers: body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR), and total body fat percentage (TBF%), to identify incident cases of type 2 diabetes mellitus T2DM. Methods: Secondary data analysis of the CRONICAS Cohort Study, conducted in 3 regions of Peru. Participants without T2DM at baseline were selected for analyses. The obesity markers were evaluated at the beginning of the study, and the development of T2DM was determined at 30 months of follow-up. The predictive performance of the markers was calculated using areas under the curve (AUC), and sensitivity and specificity of the best cutoff points were estimated. Results: A total of 2510 participants with no diabetes at baseline, median age 54.1 years (inter-quartile range: 44.6 to 63.5), were included in the analysis. The cumulative incidence of T2DM at 30 months of follow-up was 4.7%. All the AUC studied for obesity markers and TBF% were poor. Conclusions: We found that obesity markers had a poor predictive performance (AUC) for the incidence of T2DM when used alone. The BMI, WC and WHtR had better performance for the incidence of T2DM relative to the WHR among women, and no differences in performance between obesity markers were found among men. © 2020 Elsevier B.V.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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13.448654 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).