Table 3.
Models for predicting ∆FPG72h |
R2 (% of Prediction) |
β (95%CI) | r= | Model value of p |
---|---|---|---|---|
Body composition/anthropometry outcomes | ||||
Model 1 | 0.308 (30.8%)† | −0.55 (−4.4, 0.8) | −0.55 | p <0.001 |
Model 2 | 0.510 (51.0%)† | −0.46 (−4.1, 1.1) | −0.50 | p =0.002 |
Model 3 | 0.576 (57.6%)† | −0.55 (−4.9, 1.3) | 0.21 | p =0.004 |
Model 4 | 0.626 (62.6%)† | −0.38 (−6.0, 3.5) | 0.62 | p =0.015 |
Model 5 | 0.640 (64.0%) | −0.53 (−12.5, 9.1) | 0.24 | p =0.069 |
Adiposity outcomes | ||||
Model 1 | 0.175 (17.5%)† | 0.41 (−0.80, 2.51) | 0.41 | p =0.009 |
Model 2 | 0.283 (28.3%)† | 0.49 (−0.76, 2.79) | −0.22 | p =0.014 |
Model 3 | 0.287 (28.7%)† | 0.50 (−1.02, 3.08) | 0.05 | p =0.037 |
Model 4 | 0.312 (31.2%) | 0.46 (−1.55, 3.45) | 0.23 | p =0.061 |
Model 5 | 0.468 (46.8%) | 0.32 (−2.39, 3.73) | 0.23 | p =0.089 |
denotes models that predict significantly the changes in FPG post-72h of training cessation.
Delta fasting plasma glucose (∆FPG72h) from post-24h to post-72h. Outcomes are described as: delta skeletal muscle mass (∆SMM) expressed in percentage, delta humeral diameter (∆HumD), delta femoral diameter (∆FemD), delta arm perimeter (∆ArmP), and delta calf perimeter (∆CalfP). delta waist circumference (∆WC), delta tricípital skinfold (∆TSF), delta subscapular skinfold (∆SESF), supra-iliac skinfold (∆SISF), and delta calf skinfold (∆CalfSF). Body composition/anthropometric markers were adjusted by (Model 1) ∆SMM non-adjusted model, (Model 2) ∆SMM adjusted by ∆HumD, (Model 3) ∆SMM adjusted by ∆HumD and ∆FemD, (Model 4) ∆SMM adjusted by ∆HumD, ∆FemD, and ∆ArmP, and (Model 5) ∆SMM adjusted by ∆HumD, ∆FemD, ∆ArmP, and ∆CalfP. Adiposity markers were adjusted by (Model 1) ∆WC non-adjusted model, (Model 2) ∆WC adjusted by ∆TSF, (Model 3) ∆WC adjusted by ∆TSF and ∆SESF, (Model 4) ∆WC adjusted by ∆TSF, ∆SESF, and ∆ICSF and (Model 5) ∆WC adjusted by ∆TSF, ∆SESF, ∆ICSF, and ∆CalfSF. Bold values denote significant association at p<0.05 by different linear regression models; Pearson r-test (r).