Fatness mediates the influence of muscular fitness on metabolic syndrome in Colombian collegiate students
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Abstract
The purpose of this study was two-fold: to analyze the association between muscular fitness
(MF) and clustering of metabolic syndrome (MetS) components, and to determine if fatness
parameters mediate the association between MF and MetS clustering in Colombian collegiate
students. This cross-sectional study included a total of 886 (51.9% women) healthy
collegiate students (21.4 ± 3.3 years old). Standing broad jump and isometric handgrip
dynamometry were used as indicators of lower and upper body MF, respectively. Also, a MF
score was computed by summing the standardized values of both tests, and used to classify
adults as fit or unfit. We also assessed fat mass, body mass index, waist-to-height ratio, and
abdominal visceral fat, and categorized individuals as low and high fat using international
cut-offs. A MetS cluster score was derived by calculating the sum of the sample-specific zscores
from the triglycerides, HDL cholesterol, fasting glucose, waist circumference, and
arterial blood pressure. Linear regression models were used to examine whether the association
between MF and MetS cluster was mediated by the fatness parameters. Data were
collected from 2013 to 2016 and the analysis was done in 2016. Findings revealed that the
best profiles (fit + low fat) were associated with lower levels of the MetS clustering (p <0.001
in the four fatness parameters), compared with unfit and fat (unfit + high fat) counterparts.
Linear regression models indicated a partial mediating effect for fatness parameters in the
association of MF with MetS clustering. Our findings indicate that efforts to improve MF in young adults may decrease MetS risk partially through an indirect effect on improvements
to adiposity levels. Thus, weight reduction should be taken into account as a complementary
goal to improvements in MF within exercise programs.
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Atribución-NoComercial-CompartirIgual 2.5 Colombia