Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
- PMID: 40289929
- PMCID: PMC11945281
- DOI: 10.3390/nu17060945
Relationship Between Metabolic Age Determined by Bioimpedance and Insulin Resistance Risk Scales in Spanish Workers
Abstract
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.
Keywords: Mediterranean diet; insulin resistance; metabolic age; physical activity; smoking; sociodemographic variables.
Conflict of interest statement
The authors declare that they have no conflicts of interest.
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References
-
- DeFilippis A.P., Young R., McEvoy J.W., Michos E.D., Sandfort V., Kronmal R.A., McClelland R.L., Blaha M.J. Risk score overestimation: The impact of individual cardiovascular risk factors and preventive therapies on the performance of the American Heart Association-American College of Cardiology-Atherosclerotic Cardiovascular Disease risk score in a modern multi-ethnic cohort. Eur. Heart J. 2017;38:598–608. - PMC - PubMed
-
- Vásquez-Alvarez S., Bustamante-Villagomez S.K., Vazquez-Marroquin G., Porchia L.M., Pérez-Fuentes R., Torres-Rasgado E., Herrera-Fomperosa O., Montes-Arana I., Gonzalez-Mejia M.E. Metabolic Age, an Index Based on Basal Metabolic Rate, Can Predict Individuals That are High Risk of Developing Metabolic Syndrome. High Blood Press. Cardiovasc. Prev. 2021;28:263–270. doi: 10.1007/s40292-021-00441-1. - DOI - PubMed
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