Association of Muscular Fitness and Body Fatness with Cardiometabolic Risk Factors: The FUPRECOL Study
Metadatos
Afficher la notice complèteAuteur
Correa Rodríguez, María; Ramírez-Vélez, Robinson; Correa-Bautista, Jorge Enrique; Castellanos-Vega, Rocío del Pilar; Florencio Arias-CoronelEditorial
MDPI
Materia
Muscular fitness Body fatness Fat mass index Cardio-metabolic risk Young adults
Date
2018-11-07Referencia bibliográfica
Correa-Rodríguez, M. [et al.]. Association of Muscular Fitness and Body Fatness with Cardiometabolic Risk Factors: The FUPRECOL Study. Nutrients 2018, 10, 1742.
Patrocinador
K.G.-R. received a scholarship from Universidad del Rosario, Colombia, Escuela de Medicina y Ciencias de la Salud, to complete a Doctorate. This study was part of the project entitled “Body Adiposity Index and Biomarkers of Endothelial and Cardiovascular Health in Adults” and FUPRECOL Study, which was funded by the Center for Studies on Measurement of Physical Activity, School of Medicine and Health Sciences, Universidad del Rosario (Code NºFIUR DN-BG001) and Universidad de Boyacá (Code Nº RECT 60). The funder had no role in the study design, data collection, data analysis and interpretation, preparation of the manuscript, or decision to publish.Résumé
This study investigated the associations of muscular fitness and various indicators
of body fatness with cardio-metabolic risk factors and determined the muscular strength and
body fatness thresholds for detecting a high risk of cardio-metabolic dysfunction in young adults.
A cross-sectional study was conducted on 1798 collegiate students (61.5% females, mean age
20.5 years). Muscular fitness was determined by using a handgrip strength test and normalized
grip strength (NGS = handgrip (kg)/body mass (kg)). Body mass index (BMI), waist circumference
(WC), percentage of fat mass (BF%), fat-mass index (FMI), and waist-to-height ratio (WHR) were
also included as body fatness measurements. A high cardio-metabolic risk cluster was derived by
assessing triglycerides, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL)
cholesterol, fasting glucose, and blood pressure. Logistic regression models showed that men and
women with lower NGS had an increased cardio-metabolic risk odds ratio (OR) = 1.8, 95% confidence
interval (CI) 1.1 to 2.9, ρ = 0.006, and OR = 1.6, 95% CI 1.0 to 2.5, ρ = 0.036, respectively). In both
sexes, higher levels of all fatness parameters were also associated with increased cardio-metabolic
risk (ρ < 0.001). In both men and women, high FMI had the highest OR for clustered risk (OR = 4.7,
95% CI 2.6 to 8.4, and OR = 7.3, 95% CI 3.4 to 9.7, ρ < 0.001, respectively). Combined analysis showed
that unfitness (lower NGS) and high fat had the highest OR for WC and FMI in men and women,
respectively (OR = 5.5, 95% CI 2.6 to 11.4, OR = 7.7, 95% CI 2.3 to 15.8, ρ < 0.01). Muscular strength
and body fatness are independently and jointly associated with increased cardiometabolic risk in
young adults, which suggests that both are predictor variables for this.