Risk of insulin resistance applying 3 different scales in 703,472 spanish workers: Associated variables

Astrid Camero; José Luis Muriel; Neus Morell; Milton Lurquin; Ángel Arturo López González; Antonio Serra-Capó; Gabriela Villaroel

doi:10.5281/zenodo.14590496

Authors

Astrid Camero Multiprofessional Teaching Unit of Occupational Health, Balearic Islands, Spain. https://orcid.org/0009-0005-5334-8312
José Luis Muriel Multiprofessional Teaching Unit of Occupational Health, Balearic Islands, Spain. https://orcid.org/0009-0008-5800-3489
Neus Morell Multiprofessional Teaching Unit of Occupational Health, Balearic Islands, Spain. https://orcid.org/0009-0000-8046-8014
Milton Lurquin Multiprofessional Teaching Unit of Occupational Health, Balearic Islands, Spain. https://orcid.org/0009-0008-2525-0395
Ángel Arturo López González Multiprofessional Teaching Unit of Occupational Health, Balearic Islands, Spain. https://orcid.org/0000-0002-7439-8117
Antonio Serra-Capó Multiprofessional Teaching Unit of Occupational Health, Balearic Islands, Spain. https://orcid.org/0009-0001-9922-1094
Gabriela Villaroel Multiprofessional Teaching Unit of Occupational Health, Balearic Islands, Spain. https://orcid.org/0009-0000-0620-5312

DOI:

https://doi.org/10.5281/zenodo.14590496

Keywords:

CUN BAE, insulin resistance, METS-IR, obesity, TyG index

Abstract

Objective: Insulin resistance (IR) is a highly prevalent condition that causes significant morbidity and has a multifactorial etiology. The objective of this study is to assess the risk of developing IR by applying three different criteria, and to determine how IR is associated with various sociodemographic variables, tobacco consumption, and obesity using the Body Mass Index (BMI) and the Clínica Universidad de Navarra Body Adiposity Estimator (CUN BAE) criteria.

Materials and methods: A cross-sectional descriptive study of 703,472 Spanish workers, evaluating the influence of age, sex, social class, tobacco consumption, and obesity (based on BMI and CUN BAE criteria) on the prevalence of IR by applying the Triglycerides Glucose Index (TyG index), Metabolic Score for Insulin Resistance (METS-IR), and Triglycerides/HDL-cholesterol scales.

Results: The prevalence of high IR risk varies with the different criteria applied. The variables that most increase the risk of high IR across all three criteria are obesity (both BMI and CUN BAE) and age.

Conclusion: The high IR risk profile according to all three scales is an older male from social class III, a smoker, and obese.

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