• Medientyp: E-Artikel
  • Titel: Moderators of Exercise Effects on Cancer-related Fatigue: A Meta-analysis of Individual Patient Data
  • Beteiligte: VAN VULPEN, JONNA K.; SWEEGERS, MAIKE G.; PEETERS, PETRA H. M.; COURNEYA, KERRY S.; NEWTON, ROBERT U.; AARONSON, NEIL K.; JACOBSEN, PAUL B.; GALVÃO, DANIEL A.; CHINAPAW, MAI J.; STEINDORF, KAREN; IRWIN, MELINDA L.; STUIVER, MARTIJN M.; HAYES, SANDI; GRIFFITH, KATHLEEN A.; MESTERS, ILSE; KNOOP, HANS; GOEDENDORP, MARTINE M.; MUTRIE, NANETTE; DALEY, AMANDA J.; MCCONNACHIE, ALEX; BOHUS, MARTIN; THORSEN, LENE; SCHULZ, KARL-HEINZ; SHORT, CAMILLE E.; [...]
  • Erschienen: Ovid Technologies (Wolters Kluwer Health), 2020
  • Erschienen in: Medicine & Science in Sports & Exercise
  • Sprache: Englisch
  • DOI: 10.1249/mss.0000000000002154
  • ISSN: 0195-9131; 1530-0315
  • Schlagwörter: Physical Therapy, Sports Therapy and Rehabilitation ; Orthopedics and Sports Medicine
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>ABSTRACT</jats:title> <jats:sec> <jats:title>Purpose</jats:title> <jats:p>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.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>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 (<jats:italic toggle="yes">z</jats:italic> score) and to identify demographic, clinical, intervention- and 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.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>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 (β<jats:sub>difference</jats:sub> = −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.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>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.</jats:p> </jats:sec>
  • Zugangsstatus: Freier Zugang