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

<b>Introduction:</b> 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. <b>Objective:</b> 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. <b>Methodology:</b> 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). <b>Results:</b> 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. <b>Conclusions:</b> 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.

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Journal
Nutrients
Published
2025-03-08
DOI
https://doi.org/10.3390/nu17060945
Citations
5
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
5.82
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article

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

José Ignacio Ramírez‐Manent, Hernán Paublini, Ángel Arturo López‐González, Pedro Juan Tárraga López et al.
5 citations
Nutrients
Body Composition Measurement Techniques
5.82
article

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

José Ignacio Ramírez‐Manent, Hernán Paublini, Ángel Arturo López‐González, Pedro Juan Tárraga López, Cristina Martorell Sánchez, Ignacio Ramírez-Gallegos, Emilio Martínez-Almoyna-Rifá
article en
5 citations

Abstract

<b>Introduction:</b> 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. <b>Objective:</b> 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. <b>Methodology:</b> 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). <b>Results:</b> 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. <b>Conclusions:</b> 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.

NutrientsVol. 17(6)
Health Research Institute of the Balearic Islands (ES), Research Institute of Health Sciences (ES), Universitat de les Illes Balears (ES), University of Castilla-La Mancha (ES)
Good health and well-being
Openalex Percentile: Top 4%
Body Composition Measurement Techniques
5.82
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