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Table 4 Best predictors of LBM post‒treatment using hierarchical regression

From: Muscle function and omega-3 fatty acids in the prediction of lean body mass after breast cancer treatment

Predictor

Regression coefficient* (95% CI)

p-value**

Adjusted R2t

Weight

0.948

0.000

0.634

Stage Tmill completed

0.225

0.007

0.713

No. push ups (1 min)

0.275

0.002

0.764

  1. *Regression coefficients taken from final model including: body mass, number push‒ups performed, treadmill stage reached.
  2. **Significance of the individual predictor within the final model.
  3. tDenotes value reported as each variable was added into the model in the order: body mass, stage tmill completed then no. push ups CI = confidence interval.