BCs (n = 32) | FM | FFM | BW | mREE | Controls (n = 36) | FM | FFM | BW | mREE |
FM | FM | ||||||||
Pearson | 1 | 0.582 | 0.943 | 0.513 | Pearson | 1 | 0.492 | 0.720 | 0.399 |
p-value | < 0.001* | < 0.001* | 0.003 | p-value | 0.002* | < 0.001* | 0.016* | ||
FFM | FFM | ||||||||
Pearson | 0.582 | 1 | 0.807 | 0.715 | Pearson | 0.492 | 1 | 0.722 | 0.624 |
p-value | < 0.001* | < 0.001* | < 0.001* | p-value | 0.002* | < 0.001* | < 0.001* | ||
BW | BW | ||||||||
Pearson | 0.943 | 0.807 | 1 | 0.643 | Pearson | 0.720 | 0.722 | 1 | 0.713 |
p-value | < 0.001* | < 0.001* | < 0.001* | p-value | < 0.001* | < 0.001* | < 0.001* | ||
mREE | mREE | ||||||||
Pearson | 0.513 | 0.715 | 0.643 | 1 | Pearson | 0.399 | 0.624 | 0.713 | 1 |
p-value | 0.003 | < 0.001* | < 0.001* | p-value | 0.016* | < 0.001* | < 0.001* | ||
Linear regression analysis for absolute mREE in BCs and controls | |||||||||
BCs (n = 32) | R2 | R2 change | p-value | Controls (n = 36) | R2 | R2 change | p-value | ||
mREE | mREE | ||||||||
Model: | < 0.001* | Model: | < 0.001* | ||||||
FFM | 0.511 | < 0.001* | BW | 0.508 | < 0.001* | ||||
BW | 0.013 | 0.385 | FFM | 0.025 | 0.192 | ||||
FM | 0.511 | 0.002 | 0.725 | FM | 0.508 | 0.024 | 0.194 |