Table 1.
Participant demographics, injury characteristics, MRI outcomes, anthropometric measurements and biomarkers of cardiometabolic disease.
Table 2.
Linear regression models were used to find Pearson correlation coefficients and part correlations, with adjustments for age as a covariate, between magnetic-resonance imaging outcomes of central adiposity and biomarkers of cardiometabolic disease.
Fig 1.
Associations between magnetic-resonance imaging (MRI) visceral adipose tissue cross-sectional area (VATCSA) and anthropometric measurements of central adiposity; seated abdominal (A) and waist (B) circumference and, supine abdominal (C) and waist (D) circumference. Lines of best fit (fixed) are shown for each correlation, along with Pearson correlation co-efficient values (r), significance (P) and specific linear regression equations. Population specific cutoffs, corresponding to 100cm2 VATCSA, are highlighted by the dashed lines.
Table 3.
Linear regression models were used to find Pearson correlation coefficients and part correlations, with adjustments for age as a covariate, between anthropometric measurements of central adiposity and biomarkers of cardiometabolic disease.
Fig 2.
Differences in cardiometabolic disease risk biomarkers [triglycerides (TG) (A), insulin sensitivity (Si) (B), glycated hemoglobin (HbA1c) (C) and peak oxygen uptake (VO2 peak) (D) among participants dichotomized per multi-axial magnetic resonance imaging (MRI) visceral adipose tissue cross-sectional area (VATCSA) (< 100cm2, n = 11; ≥ 100cm2, n = 10). P values are shown for significant differences (P < 0.05).
Fig 3.
Differences in cardiometabolic disease risk biomarkers [triglycerides (TG) (E), insulin sensitivity (Si) (F), total cholesterol (G), Non-HDL (H) among participants dichotomized per the derived supine waist circumference cutoff for central adiposity (< 86.5cm, n = 12; ≥ 86.5cm, n = 10).
P values are shown for significant differences (P < 0.05).
Table 4.
Generated population specific seated/supine AC and WC cutoff points with averaged and standard deviation for the cardiometabolic risk factors chosen in the current study.