Association between metabolic phenotypes and diabetes risk: A systematic review and meta-analysis
Descripción del Articulo
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...
Autores: | , , , , , , , , |
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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 |
dc.rights.uri.es_PE.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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 |
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reponame:UTP-Institucional instname:Universidad Tecnológica del Perú instacron:UTP |
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Universidad Tecnológica del Perú |
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UTP |
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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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 |
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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).