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ORIGINAL RESEARCH article

Front. Nutr.
Sec. Clinical Nutrition
Volume 11 - 2024 | doi: 10.3389/fnut.2024.1448834
This article is part of the Research Topic Understanding Obesity to Determine the Best Therapeutic Option: From Lifestyle Interventions to Therapies View all 10 articles

Low muscle mass index is associated with type 2 diabetes risk in a Latin-American population: A cross-sectional study

Provisionally accepted
Rosario Suárez Rosario Suárez 1Celina Andrade Celina Andrade 1*Maria Estefanía Bautista Valarezo Maria Estefanía Bautista Valarezo 1Yoredy Sarmiento-Andrade Yoredy Sarmiento-Andrade 1Andri Matos MD MHE CHES CDES Andri Matos MD MHE CHES CDES 2Oliver Jimenez Oliver Jimenez 1Martha E. Montalvan Martha E. Montalvan 3Sebastián Chapela Sebastián Chapela 4,5
  • 1 Universidad Técnica Particular de Loja, Loja, Ecuador
  • 2 School of Allied Health, Eastwick College, Ramsey NJ, Ramsey, United States
  • 3 Universidad Espíritu Santo, Escuela de Medicina, Samborondón, 0901952, Ecuador, Guayaquil, Ecuador
  • 4 Universidad de Buenos Aires, Facultad de Medicina, Departamento de Bioquímica Humana, Buenos Aires, Argentina
  • 5 Hospital Británico de Buenos Aires, Buenos Aires, Buenos Aires, Argentina

The final, formatted version of the article will be published soon.

    Objective: Diabetes mellitus is a growing disease with severe complications. Various scores predict the risk of developing this pathology. The amount of muscle mass is associated with insulin resistance, yet there is no established evidence linking muscle mass with diabetes risk. This work aims to study that relationship.This cross-sectional study included 1388 employees. The FINDRISC score was used to assess type 2 diabetes risk, and bioimpedance was used for body composition analysis. Appendicular skeletal muscle mass adjusted by body mass index (ASM/BMI) was analyzed. Sociodemographic, clinical and anthropometric measures were evaluated, logistic regression models with sex stratification were conducted and ROC curves were calculated to determine the ability of ASM/BMI index to predict T2D risk.It was observed that patients with higher ASM/BMI had a lower FINDRISC score in both men and women (P < 0,001). A logistic regression model showed and association between ASM/BMI and diabetes risk in women [OR: 0,000 (0,000-0,900), p = 0,048], but not in men [OR: 0,267 (0,038-1,878) p = 0,185]. However, when the body mass index variable was excluded from the model, an association was found between muscle mass adjusted to BMI and diabetes risk in both men [OR: 0,000 (0,000-0,016), p < 0,001], and women [OR:0,001 (0,000-0,034) p < 0,001]. Other risk factors were having a low level of physical activity, waist circumference, age and sedentary lifestyle. A ROC curve was built and the optimal ASM/BMI cut-of value for predicting T2D risk was 0,82 with a sensitivity of 53,71% and specificity of 69,3% [AUC of 0,665 (0,64-0,69; P < 0,0001)] Conclusion: When quantifying the risk of type 2 diabetes in both women and men, assessing muscle mass can help detect adult individuals with a high risk of developing type 2 diabetes.

    Keywords: Diabetes Mellitus, Type 2, Lean Body Mass, Low muscle mass, Sarcopenia, Body Mass Index

    Received: 14 Jun 2024; Accepted: 22 Jul 2024.

    Copyright: © 2024 Suárez, Andrade, Bautista Valarezo, Sarmiento-Andrade, Matos MD MHE CHES CDES, Jimenez, Montalvan and Chapela. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Celina Andrade, Universidad Técnica Particular de Loja, Loja, Ecuador

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