Table 5: Prediction/discrimination of impaired fasting glucose and the metabolic syndrome with degree of obesity as defined by dual-energy X-ray absorptiometry (DXA) bioimpedance analysis (BIA), an anthropometry-based estimate of fat mass percentage (FM%-equation) and BMI. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

Method of measurement, based on which participants are classified in categories of obesity.^{
b}Different method of estimating obesity, the predictive power of which is compared to reference model/reference method.^{
c}Number of participants.^{
d}Number of participants that are positive with regard to respective outcome.^{
e}Number of participants that are negative with regard to respective outcome.^{
f}Percentage improvement (+) or deterioration (−) in predictive power of new model compared to reference model. Categories of obesity/FM% as independent variable.^{
g}Net reclassification of cases + net reclassification of non-cases. A positive number denotes increased predictive power for the new model.^{
h}Likelihood of net reclassification index to be 0, that is, the new model showing no improvement/deterioration over reference model.^{
i}Net reclassification of cases = percentage of cases reclassified by the new model into a higher risk category − percentage of cases reclassified by the new model into a lower risk category.^{
j}Net reclassification of non-cases = percentage of non-cases reclassified by the new model into a lower risk category − percentage of non-cases reclassified by the new model into a higher risk category.^{
k}Integrated discrimination improvement (+) or deterioration (−) of new model compared to reference model. Categories of obesity/FM% as independent variable in an age-adjusted model.^{
l}Mean difference in predicted individual probabilities between cases and non-cases for two models. A positive number denotes increased predictive power for the new model.^{
m}Likelihood of net reclassification index to be 0, that is, the new model showing no improvement/deterioration over reference model.^{
n}Measures of obesity (BMI/FM%) as continuous variable in a logistic regression model predicting respective outcomes.^{
o}Difference in area under curve of receiver operating characteristic compared to reference method.^{
p}Probability of 0-hypothesis (no difference).^{
q}Estimation of FM% with bioimpedance device InBody (720) (Biospace, Korea).^{
r}Anthropometry-based estimate; arithmetic mean of FM% estimations according to prediction methods Deurenberg et al. [12], Gallagher et al. [15], and Larsson et al. [14].^{
s}Definition of metabolic syndrome suggested by the common task force from the IDF and the American Heart Association/National Heart, Lung and Blood Institute (AHA/NHBLI) [17]. |