Obesity markers for the prediction of incident type 2 diabetes mellitus in resource-poor settings: The CRONICAS Cohort Study

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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...

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Detalles Bibliográficos
Autores: Zafra-Tanaka J.H., Miranda J.J., Gilman R.H., Checkley W., Smeeth L., Bernabe-Ortiz A.
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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network_acronym_str CONC
network_name_str CONCYTEC-Institucional
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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
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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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