Association of muscular fitness and body fatness with cardiometabolic risk factors: The FUPRECOL study
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 w...
| Autores: | , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | Colombia |
| Institución: | Universidad del Rosario |
| Repositorio: | Repositorio EdocUR - U. Rosario |
| Idioma: | inglés |
| OAI Identifier: | oai:repository.urosario.edu.co:10336/22692 |
| Acceso en línea: | https://doi.org/10.3390/nu10111742 https://repository.urosario.edu.co/handle/10336/22692 |
| Access Level: | acceso abierto |
| Palabra clave: | Cholesterol Glucose High density lipoprotein cholesterol Low density lipoprotein cholesterol Triacylglycerol Lipid Adult Article Body fat Body mass Cardiometabolic risk Cholesterol blood level Cross-sectional study Diastolic blood pressure Female Grip strength Human Hypertension Male Muscle strength Physical activity Predictive value Prevalence Questionnaire Risk factor Sensitivity and specificity Systolic blood pressure Waist circumference Waist to height ratio Adipose tissue Blood Blood pressure Body composition Cardiovascular disease Fitness Glucose blood level Hand strength Metabolic disorder Metabolism Odds ratio Physiology Skeletal muscle Statistical model Young adult Blood glucose Body mass index Cardiovascular diseases Cross-sectional studies Humans Lipids Logistic models Metabolic diseases Physical fitness Risk factors Body fatness Cardio-metabolic risk Fat mass index Muscular fitness Young adults skeletal Muscle |
| Sumario: | 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, p = 0.006, and OR = 1.6, 95% CI 1.0 to 2.5, p = 0.036, respectively). In both sexes, higher levels of all fatness parameters were also associated with increased cardio-metabolic risk (p less than 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, p less than 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, p less than 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. © 2018 by the authors. Licensee MDPI, Basel, Switzerland. |
|---|