Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis

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Introduction: It seems that the risk of developing diabetes cannot be predicted solely based on weight or BMI. Metabolic phenotypes might offer a more precise tool for identifying patients at higher risk of diabetes, thus enabling more effective and targeted preventive interventions. Objective: To d...

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Detalles Bibliográficos
Autores: Orihuela Manrique, Eder Jesús, Vera Ponce, Víctor Juan, Loayza-Castro, Joan A., Zuzunaga-Montoya, Fiorella E., Torres Malca, Jenny Raquel, García-Lara, Rosa A., Iturregui Paucar, Cori Raquel, Valladares-Garrido, Mario J., De la Cruz-Vargas, Jhony A.
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/8044
Enlace del recurso:https://hdl.handle.net/20.500.12867/8044
https://doi.org/10.1016/j.endmts.2023.100142
Nivel de acceso:acceso abierto
Materia:Obesity
Metabolism
Diabetes mellitus
Overweight persons
https://purl.org/pe-repo/ocde/ford#3.03.05
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dc.title.es_PE.fl_str_mv Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis
title Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis
spellingShingle Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis
Orihuela Manrique, Eder Jesús
Obesity
Metabolism
Diabetes mellitus
Overweight persons
https://purl.org/pe-repo/ocde/ford#3.03.05
title_short Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis
title_full Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis
title_fullStr Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis
title_full_unstemmed Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis
title_sort Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis
author Orihuela Manrique, Eder Jesús
author_facet Orihuela Manrique, Eder Jesús
Vera Ponce, Víctor Juan
Loayza-Castro, Joan A.
Zuzunaga-Montoya, Fiorella E.
Torres Malca, Jenny Raquel
García-Lara, Rosa A.
Iturregui Paucar, Cori Raquel
Valladares-Garrido, Mario J.
De la Cruz-Vargas, Jhony A.
author_role author
author2 Vera Ponce, Víctor Juan
Loayza-Castro, Joan A.
Zuzunaga-Montoya, Fiorella E.
Torres Malca, Jenny Raquel
García-Lara, Rosa A.
Iturregui Paucar, Cori Raquel
Valladares-Garrido, Mario J.
De la Cruz-Vargas, Jhony A.
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Orihuela Manrique, Eder Jesús
Vera Ponce, Víctor Juan
Loayza-Castro, Joan A.
Zuzunaga-Montoya, Fiorella E.
Torres Malca, Jenny Raquel
García-Lara, Rosa A.
Iturregui Paucar, Cori Raquel
Orihuela Manrique, Eder Jesús
Valladares-Garrido, Mario J.
De la Cruz-Vargas, Jhony A.
dc.subject.es_PE.fl_str_mv Obesity
Metabolism
Diabetes mellitus
Overweight persons
topic Obesity
Metabolism
Diabetes mellitus
Overweight persons
https://purl.org/pe-repo/ocde/ford#3.03.05
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#3.03.05
description Introduction: It seems that the risk of developing diabetes cannot be predicted solely based on weight or BMI. Metabolic phenotypes might offer a more precise tool for identifying patients at higher risk of diabetes, thus enabling more effective and targeted preventive interventions. Objective: To determine the association between these metabolic phenotypes and the risk of diabetes. Materials: Systematic Review (SR) with a meta-analysis of cohort studies. The search was carried out in four databases: Pubmed/Medline, SCOPUS, Web of Science, and EMBASE. Metabolic states were classified into six groups: Metabolically Healthy Normal Weight (MHNW), Metabolically Unhealthy Normal Weight (MUNW), Metabolically Healthy Overweight (MHOW), Metabolically Unhealthy Overweight (MUOW), Metabolically Healthy Obesity (MHO), and Metabolically Unhealthy Obesity (MUO). Association measures were presented as odds ratios (OR) and hazard ratios (HR) along with their 95 % confidence intervals (CI95%). Results: A total of six studies were evaluated. For the meta-analysis, only studies using OR as the measure of association were included. Compared with individuals with MHNW, a statistically significant association was found for MUNW (OR: 1.82; CI95% 1.62, 2.04), MHOW (OR: 1.19; CI95% 1.07, 1.32), MUOW (OR: 2.44; CI95% 2.19, 2.72), MHO (OR: 2.14; CI95% 1.52, 3.01), and MUO (OR: 3.94; CI95% 3.28, 4.74).
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-12-13T23:21:15Z
dc.date.available.none.fl_str_mv 2023-12-13T23:21:15Z
dc.date.issued.fl_str_mv 2023
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es_PE.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 2666-3961
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12867/8044
dc.identifier.journal.es_PE.fl_str_mv Endocrine and Metabolic Science
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.endmts.2023.100142
identifier_str_mv 2666-3961
Endocrine and Metabolic Science
url https://hdl.handle.net/20.500.12867/8044
https://doi.org/10.1016/j.endmts.2023.100142
dc.language.iso.es_PE.fl_str_mv spa
language spa
dc.relation.ispartofseries.none.fl_str_mv Endocrine and Metabolic Science;vol. 13
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.format.es_PE.fl_str_mv application/pdf
dc.publisher.es_PE.fl_str_mv Elsevier
dc.publisher.country.es_PE.fl_str_mv NL
dc.source.es_PE.fl_str_mv Repositorio Institucional - UTP
Universidad Tecnológica del Perú
dc.source.none.fl_str_mv reponame:UTP-Institucional
instname:Universidad Tecnológica del Perú
instacron:UTP
instname_str Universidad Tecnológica del Perú
instacron_str UTP
institution UTP
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spelling Orihuela Manrique, Eder JesúsVera Ponce, Víctor JuanLoayza-Castro, Joan A.Zuzunaga-Montoya, Fiorella E.Torres Malca, Jenny RaquelGarcía-Lara, Rosa A.Iturregui Paucar, Cori RaquelOrihuela Manrique, Eder JesúsValladares-Garrido, Mario J.De la Cruz-Vargas, Jhony A.2023-12-13T23:21:15Z2023-12-13T23:21:15Z20232666-3961https://hdl.handle.net/20.500.12867/8044Endocrine and Metabolic Sciencehttps://doi.org/10.1016/j.endmts.2023.100142Introduction: It seems that the risk of developing diabetes cannot be predicted solely based on weight or BMI. Metabolic phenotypes might offer a more precise tool for identifying patients at higher risk of diabetes, thus enabling more effective and targeted preventive interventions. Objective: To determine the association between these metabolic phenotypes and the risk of diabetes. Materials: Systematic Review (SR) with a meta-analysis of cohort studies. The search was carried out in four databases: Pubmed/Medline, SCOPUS, Web of Science, and EMBASE. Metabolic states were classified into six groups: Metabolically Healthy Normal Weight (MHNW), Metabolically Unhealthy Normal Weight (MUNW), Metabolically Healthy Overweight (MHOW), Metabolically Unhealthy Overweight (MUOW), Metabolically Healthy Obesity (MHO), and Metabolically Unhealthy Obesity (MUO). Association measures were presented as odds ratios (OR) and hazard ratios (HR) along with their 95 % confidence intervals (CI95%). Results: A total of six studies were evaluated. For the meta-analysis, only studies using OR as the measure of association were included. Compared with individuals with MHNW, a statistically significant association was found for MUNW (OR: 1.82; CI95% 1.62, 2.04), MHOW (OR: 1.19; CI95% 1.07, 1.32), MUOW (OR: 2.44; CI95% 2.19, 2.72), MHO (OR: 2.14; CI95% 1.52, 3.01), and MUO (OR: 3.94; CI95% 3.28, 4.74).Campus Lima Norteapplication/pdfspaElsevierNLEndocrine and Metabolic Science;vol. 13info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Repositorio Institucional - UTPUniversidad Tecnológica del Perúreponame:UTP-Institucionalinstname:Universidad Tecnológica del Perúinstacron:UTPObesityMetabolismDiabetes mellitusOverweight personshttps://purl.org/pe-repo/ocde/ford#3.03.05Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysisinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionORIGINALE.Orihuela_Articulo_2023.pdfE.Orihuela_Articulo_2023.pdfapplication/pdf2609815http://repositorio.utp.edu.pe/bitstream/20.500.12867/8044/1/E.Orihuela_Articulo_2023.pdf0ec951a21567b7aab1895fb61e65d530MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.utp.edu.pe/bitstream/20.500.12867/8044/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTE.Orihuela_Articulo_2023.pdf.txtE.Orihuela_Articulo_2023.pdf.txtExtracted texttext/plain40889http://repositorio.utp.edu.pe/bitstream/20.500.12867/8044/3/E.Orihuela_Articulo_2023.pdf.txt44e3072a984b235e57e02e6d98da731bMD53THUMBNAILE.Orihuela_Articulo_2023.pdf.jpgE.Orihuela_Articulo_2023.pdf.jpgGenerated Thumbnailimage/jpeg19228http://repositorio.utp.edu.pe/bitstream/20.500.12867/8044/4/E.Orihuela_Articulo_2023.pdf.jpg9cafb7a76bb37bf6d4c3975d52acde31MD5420.500.12867/8044oai:repositorio.utp.edu.pe:20.500.12867/80442023-12-15 12:18:20.388Repositorio Institucional de la Universidad Tecnológica del Perúrepositorio@utp.edu.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