Moderators of Exercise Effects on Cancer-related Fatigue: A Meta-analysis of Individual Patient Data

Jonna K. Van Vulpen, Maike G. Sweegers, Petra H.M. Peeters, Kerry S. Courneya, Robert U. Newton, Neil K. Aaronson, Paul B. Jacobsen, Daniel A. Galvaõ, Mai J. Chinapaw, Karen Steindorf, Melinda L. Irwin, Martijn M. Stuiver, Sandi Hayes, Kathleen A. Griffith, Ilse Mesters, Hans Knoop, Martine M. Goedendorp, Nanette Mutrie, Amanda J. Daley, Alex McConnachieMartin Bohus, Lene Thorsen, Karl Heinz Schulz, Camille E. Short, Erica L. James, Ronald C. Plotnikoff, Martina E. Schmidt, Cornelia M. Ulrich, Marc Van Beurden, Hester S. Oldenburg, Gabe S. Sonke, Wim H. Van Harten, Kathryn H. Schmitz, Kerri M. Winters-Stone, Miranda J. Velthuis, Dennis R. Taaffe, Willem Van Mechelen, Marie José Kersten, Frans Nollet, Jennifer Wenzel, Joachim Wiskemann, Irma M. Verdonck-De Leeuw, Johannes Brug, Anne M. May, Laurien M. Buffart*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Purpose Fatigue is a common and potentially disabling symptom in patients with cancer. It can often be effectively reduced by exercise. Yet, effects of exercise interventions might differ across subgroups. We conducted a meta-analysis using individual patient data of randomized controlled trials (RCT) to investigate moderators of exercise intervention effects on cancer-related fatigue. Methods We used individual patient data from 31 exercise RCT worldwide, representing 4366 patients, of whom 3846 had complete fatigue data. We performed a one-step individual patient data meta-analysis, using linear mixed-effect models to analyze the effects of exercise interventions on fatigue (z score) and to identify demographic, clinical, intervention- A nd exercise-related moderators. Models were adjusted for baseline fatigue and included a random intercept on study level to account for clustering of patients within studies. We identified potential moderators by testing their interaction with group allocation, using a likelihood ratio test. Results Exercise interventions had statistically significant beneficial effects on fatigue (β =-0.17; 95% confidence interval [CI],-0.22 to-0.12). There was no evidence of moderation by demographic or clinical characteristics. Supervised exercise interventions had significantly larger effects on fatigue than unsupervised exercise interventions (βdifference =-0.18; 95% CI-0.28 to-0.08). Supervised interventions with a duration ≤12 wk showed larger effects on fatigue (β =-0.29; 95% CI,-0.39 to-0.20) than supervised interventions with a longer duration. Conclusions In this individual patient data meta-analysis, we found statistically significant beneficial effects of exercise interventions on fatigue, irrespective of demographic and clinical characteristics. These findings support a role for exercise, preferably supervised exercise interventions, in clinical practice. Reasons for differential effects in duration require further exploration.

Original languageEnglish
Pages (from-to)303-314
Number of pages12
JournalMedicine and Science in Sports and Exercise
Volume52
Issue number2
DOIs
Publication statusPublished - Feb 2020

Funding

The content is solely the responsibility of the authors and does not necessarily represent the official views of the (U.S.) National Institutes of Health. In conclusion, we found that exercise has statistically significant beneficial effects on fatigue in patients with cancer. These benefits are consistent across subgroups formed on the basis of demographic and clinical characteristics. The effect of exercise interventions on fatigue is significantly larger when performed under supervision. Differential effects of duration and potential roles of adherence and contamination in these findings need further exploration. Our results support implementation of exercise, preferably supervised exercise interventions, in clinical practice. The results of the study are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation, and results of the present study do not constitute endorsement by ACSM. Conflicts of interest: None declared. Source of funding: The POLARIS study is supported by the Bas Mulder Award, granted to L. M. Buffart by the Alpe d’HuZes foundation/Dutch Cancer Society (VU2011–5045). The contribution of J. K. van Vulpen is financially supported by the World Cancer Research Fund The Netherlands (WCRF NL, project number 2013/997). Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the (U.S.) National Institutes of Health.

FundersFunder number
foundation/Dutch Cancer SocietyVU2011–5045
National Institutes of Health
National Center for Advancing Translational SciencesUL1TR001863
World Cancer Research Fund
Wereld Kanker Onderzoek Fonds2013/997

    Keywords

    • Cancer
    • Exercise
    • Fatigue
    • Individual Patient Data Meta-Analysis

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