Influence of Body Composition on Cardiorespiratory Fitness and Metabolic Markers in Physically Inactive Individuals with Insulin Resistance: An Observational Study

Author:

Azócar-Gallardo Jairo123ORCID,Ojeda-Aravena Alex4ORCID,Báez-San Martín Eduardo56,Campos-Uribe Victor7,González-Rojas Luis8ORCID,Castillo Cerda María A.2,García-García José Manuel3

Affiliation:

1. Programa de Investigación en Deporte, Sociedad y Buen Vivir (DSBv), Universidad de Los Lagos, Osorno 5290000, Chile

2. Departamento de Ciencias de la Actividad Física, Universidad de Los Lagos, Osorno 5290000, Chile

3. Facultad de Ciencias del Deporte, Universidad de Castilla-La Mancha (UCLM), 45071 Toledo, Spain

4. IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso 2581967, Chile

5. Escuela de Educación, Carrera de Entrenador Deportivo, Universidad Viña del Mar, Viña del Mar 2520000, Chile

6. Laboratorio de Evaluación y Prescripción de Ejercicio, Facultad de Ciencias de la Actividad Física y del Deporte, Universidad de Playa Ancha, Valparaíso 2340000, Chile

7. Programa de Vida Saludable, Actividad Física y Deporte, Universidad de Talca, Talca 3460000, Chile

8. Centro Tratamiento de la Obesidad, Pontificia Universidad Católica de Chile, Santiago 7550000, Chile

Abstract

The aim of this study was to determine body composition influence on cardiorespiratory fitness and metabolic markers in physically inactive individuals with insulin resistance (IR). Nineteen overweight and obese (body mass index [BMI] 25.0–29.9 kg·m−2; ≥ 30.0 kg·m−2, respectively) patients diagnosed with IR (5 men and 14 women; age: 32.74 ± 10.07 years; BMI: 32.5 ± 4.60 kg·m−2). The body composition included BMI, fat mass, and fat-free mass. Cardiorespiratory fitness was measured by maximal oxygen uptake (VO2max). Metabolic markers included maximal fat oxidation, fasting glucose, and insulin. IR was determined by homeostatic model assessment (HOMA-IR). The results of the partial correlations (i.e., body mass, age, and sex) reported that fat-free mass, fat mass, and BMI were significantly correlated with VO2max. Additionally, the multiple linear regression model indicated that fat-free mass and BMI explained the variance of VO2max by 89%. However, no substantial correlations were reported between fat mass or fat-free mass with HOMA-IR, fasting glucose, or insulin. This study concluded that a higher percentage of fat-free mass and lower BMI is positively related to better cardiorespiratory fitness despite the IR status of the participants analyzed.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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