Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers

Introduction: Metabolic age (MA) is the difference between an individual's actual age and the age of their body based on physiological and biological factors. It is an indicator that reflects a person's physical and biological state, regardless of chronological age. Insulin resistance (IR)...

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Autores: Ramírez-Gallegos, Ignacio, Tárraga López, Pedro Juan, Paublini Oliveira, Hernán, López-González, Ángel Arturo, Martorell Sánchez, Cristina, Martínez-Almoyna-Rifá, Emilio, Ramírez-Manent, José Ignacio
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Conselleria de Salut i Consum del Govern de les Illes Balears
Repositorio:Docusalut
Idioma:inglés
OAI Identifier:oai:docusalut.com:20.500.13003/24749
Acceso en línea:https://hdl.handle.net/20.500.13003/24749
Access Level:acceso abierto
Palabra clave:Mediterranean diet
insulin resistance
metabolic age
physical activity
smoking
sociodemographic variables
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spelling Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish WorkersRamírez-Gallegos, IgnacioTárraga López, Pedro JuanPaublini Oliveira, HernánLópez-González, Ángel ArturoMartorell Sánchez, CristinaMartínez-Almoyna-Rifá, EmilioRamírez-Manent, José IgnacioMediterranean dietinsulin resistancemetabolic agephysical activitysmokingsociodemographic variablesIntroduction: Metabolic age (MA) is the difference between an individual's actual age and the age of their body based on physiological and biological factors. It is an indicator that reflects a person's physical and biological state, regardless of chronological age. Insulin resistance (IR) is a health disorder in which tissues exhibit a reduced response to the circulating glucose uptake stimulated by insulin. Objective: The aim of this study is to evaluate the association between MA, determined through bioelectrical impedance analysis, and the risk of IR, assessed using validated scales, in a cohort of Spanish workers. Methodology: A descriptive cross-sectional study was conducted on 8590 Spanish workers to assess the association between MA and a set of sociodemographic variables, health habits, and IR risk scales such as the Triglyceride-Glucose Index (TyG Index), Metabolic Score for Insulin Resistance (METS-IR), and Single Point Insulin Sensitivity Estimator (SPISE). Results: All analyzed variables were associated with MA values, with the strongest associations observed for IR risk scale values (OR 4.88 [95% CI 4.12-5.65] for METS-IR, 4.42 [95% CI 3.70-5.15] for SPISE, and 3.42 [95% CI 2.97-3.87] for the TyG Index) and physical activity. Conclusions: Metabolic age is influenced by sociodemographic variables such as age, sex, and social class; health habits such as smoking, physical activity, and adherence to the Mediterranean diet; and by IR risk scale values.MDPI20252025-03-0820252025-03-08research articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.13003/24749reponame:Docusalutinstname:Conselleria de Salut i Consum del Govern de les Illes BalearsInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docusalut.com:20.500.13003/247492026-06-22T12:44:07Z
dc.title.none.fl_str_mv Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
title Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
spellingShingle Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
Ramírez-Gallegos, Ignacio
Mediterranean diet
insulin resistance
metabolic age
physical activity
smoking
sociodemographic variables
title_short Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
title_full Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
title_fullStr Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
title_full_unstemmed Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
title_sort Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
dc.creator.none.fl_str_mv Ramírez-Gallegos, Ignacio
Tárraga López, Pedro Juan
Paublini Oliveira, Hernán
López-González, Ángel Arturo
Martorell Sánchez, Cristina
Martínez-Almoyna-Rifá, Emilio
Ramírez-Manent, José Ignacio
author Ramírez-Gallegos, Ignacio
author_facet Ramírez-Gallegos, Ignacio
Tárraga López, Pedro Juan
Paublini Oliveira, Hernán
López-González, Ángel Arturo
Martorell Sánchez, Cristina
Martínez-Almoyna-Rifá, Emilio
Ramírez-Manent, José Ignacio
author_role author
author2 Tárraga López, Pedro Juan
Paublini Oliveira, Hernán
López-González, Ángel Arturo
Martorell Sánchez, Cristina
Martínez-Almoyna-Rifá, Emilio
Ramírez-Manent, José Ignacio
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Mediterranean diet
insulin resistance
metabolic age
physical activity
smoking
sociodemographic variables
topic Mediterranean diet
insulin resistance
metabolic age
physical activity
smoking
sociodemographic variables
description Introduction: Metabolic age (MA) is the difference between an individual's actual age and the age of their body based on physiological and biological factors. It is an indicator that reflects a person's physical and biological state, regardless of chronological age. Insulin resistance (IR) is a health disorder in which tissues exhibit a reduced response to the circulating glucose uptake stimulated by insulin. Objective: The aim of this study is to evaluate the association between MA, determined through bioelectrical impedance analysis, and the risk of IR, assessed using validated scales, in a cohort of Spanish workers. Methodology: A descriptive cross-sectional study was conducted on 8590 Spanish workers to assess the association between MA and a set of sociodemographic variables, health habits, and IR risk scales such as the Triglyceride-Glucose Index (TyG Index), Metabolic Score for Insulin Resistance (METS-IR), and Single Point Insulin Sensitivity Estimator (SPISE). Results: All analyzed variables were associated with MA values, with the strongest associations observed for IR risk scale values (OR 4.88 [95% CI 4.12-5.65] for METS-IR, 4.42 [95% CI 3.70-5.15] for SPISE, and 3.42 [95% CI 2.97-3.87] for the TyG Index) and physical activity. Conclusions: Metabolic age is influenced by sociodemographic variables such as age, sex, and social class; health habits such as smoking, physical activity, and adherence to the Mediterranean diet; and by IR risk scale values.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-03-08
2025
2025-03-08
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.13003/24749
url https://hdl.handle.net/20.500.13003/24749
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Docusalut
instname:Conselleria de Salut i Consum del Govern de les Illes Balears
instname_str Conselleria de Salut i Consum del Govern de les Illes Balears
reponame_str Docusalut
collection Docusalut
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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