Table 1.
Descriptive statistics of the two male groups.
Table 2.
Descriptive statistics of the two female groups.
Figure 1.
Receiver-operator characteristics (ROC) curve for BMI, neck measurement site and trunk compartment of men.
The curve describes the association between sensitivity and specificity at different thresholds. ROC curves that approach the upper leftmost corner represent highly accurate classifiers.
Figure 2.
Receiver-operator characteristics (ROC) curve for BMI, upper back measurement site and arms compartment of women.
The curve describes the association between sensitivity and specificity at different thresholds. ROC curves that approach the upper leftmost corner represent highly accurate classifiers.
Table 3.
Area indices and optimal cut-off values obtained from ROC curve analysis for height, weight, BMI, 15 specified SAT-layers, 4 Compartments, Total SAT, and TBF% of 32 male athletes and 32 male non-athletes.
Table 4.
Area indices and optimal cut-off values obtained from ROC curve analysis for height, weight, BMI, 15 specified SAT-layers, 4 Compartments, Total SAT and TBF% of 21 female athletes and 21 female non-athletes.
Figure 3.
Box plots of the neck measurement site in athletes and controls.
The neck is the body site with the highest discriminating power in men. The black horizontal lines represent the median, the box represents the 1st and 3rd quartile, the whiskers the 5th and 95th percentiles. Outliers are represented by dots. Optimal cutoff is marked by a dotted horizontal line.
Figure 4.
Box plots of the upper back measurement site in athletes and controls.
This is the body site with the highest discriminating power in women. The black horizontal lines represent the median, the box represents the 1st and 3rd quartile, the whiskers the 5th and 95th percentiles. Outliers are represented by dots. Optimal cutoff is marked by a dotted horizontal line.