Highly fatigued patients
REGRESSION
To assess intervention effects on physical fitness in highly fatigued patients, the multiple regression analysis mentioned in 2.8.3 was repeated in this sample. Furthermore, in the subsample of highly fatigued patients, exercise effects on total hippocampal volume, hippocampal subfield volumes, cortical thickness, and total grey matter volume were investigated using multiple regression analyses with baseline measurement of the abovementioned variables, age, endocrine treatment, and TIV as covariates in the first model. As this subsample is not randomized, we decided to add covariates that represent potential differences in demographic variables between the intervention and control group and which could influence the interpretation of the outcomes in a second model. Therefore, body mass index (BMI) at baseline and educational level were added to the covariates included in the first model. Within-group analyses, using repeated measures analysis of variance with both measurements, were executed to investigate whether significant between-group differences were mainly driven by intervention effects or differences between baseline and follow-up in the control group. Furthermore, VBM analyses were repeated in this sample.If a significant effect of the intervention on hippocampal (subfield) volumes is observed, the difference in hippocampal (subfield) volume as a potential predictor of the difference on HVLT-R total recall, the primary outcome measure of the PAM trial, is investigated, to assess whether this might explain the reduction in memory problems in this group. Multiple regression analyses were executed, including baseline HVLT-R total recall and group as covariate. Similar analyses were done for ACS Wordlist Learning.