Journal Article DKFZ-2024-02630

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Variability in resistance training trajectories of breast cancer patients undergoing therapy.

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2025
Springer New York,NY

Supportive care in cancer 33(1), 12 () [10.1007/s00520-024-09001-4]
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Abstract: In resistance training (RT), the change in volume-load from training sessions (TS) to TS is an indicator of training progress. Resulting growth trajectories are likely to differ between individuals. Understanding this variation is important for exercise planning in general, but even more for clinical populations. We investigated this variation in breast cancer patients undergoing treatment.Data of 69 patients from two randomized controlled trails were investigated. They conducted a 12-week RT program. We fitted a quadratic Bayesian regression model to the baseline standardized volume-load over the course of the intervention. We allowed all parameters to vary both between exercises and between individuals.We observed a positive linear component of 0.093 (95% uncertainty interval (UI) 0.058 to 0.120) and a negative quadratic component of - 0.002 (95% UI -0.008 to 0.001) for the mean trajectory of the change in volume-load. For the different exercises, we observed a dispersion for both the linear (0.043, 95% UI 0.018 to 0.082) and the quadratic component (0.002, 95% UI < 0.001 to 0.004). Variation between individual appears to be approximately four times larger. We also observed between-exercise variation within individuals. Extrapolation of the regression model indicates training progression stagnates after 20.6 TS (95% UI 14.8 to 44.4).There is substantial variation in RT response between breast cancer patients undergoing tumor therapy and in-between exercises. The non-linear trajectory indicates that training progression will eventually plateau, demanding periodization and timely modification.BEATE Study: NCT01106820, Date: April 20, 2010; BEST Study: NCT01468766, Date: November 9, 2011.

Keyword(s): Humans (MeSH) ; Breast Neoplasms: therapy (MeSH) ; Female (MeSH) ; Resistance Training: methods (MeSH) ; Middle Aged (MeSH) ; Bayes Theorem (MeSH) ; Adult (MeSH) ; Aged (MeSH) ; Adjuvant tumor treatment ; Bayesian statistics ; Exercise oncology ; Hierarchical model ; Response variability

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Note: published online 10 December 2024

Contributing Institute(s):
  1. Bewegung, Präventionsforschung und Krebs (C110)
Research Program(s):
  1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2024
Database coverage:
Medline ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DEAL Springer ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2024-12-11, last modified 2024-12-16



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