Home > Publications database > Variability in resistance training trajectories of breast cancer patients undergoing therapy. > print

001     294923
005     20241216113642.0
024 7 _ |a 10.1007/s00520-024-09001-4
|2 doi
024 7 _ |a pmid:39656317
|2 pmid
024 7 _ |a 0941-4355
|2 ISSN
024 7 _ |a 1433-7339
|2 ISSN
024 7 _ |a altmetric:171836616
|2 altmetric
037 _ _ |a DKFZ-2024-02630
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Koeppel, Maximilian
|0 0000-0003-0683-8915
|b 0
245 _ _ |a Variability in resistance training trajectories of breast cancer patients undergoing therapy.
260 _ _ |a New York,NY
|c 2025
|b Springer
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1734345357_24909
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a published online 10 December 2024
520 _ _ |a 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.
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Adjuvant tumor treatment
|2 Other
650 _ 7 |a Bayesian statistics
|2 Other
650 _ 7 |a Exercise oncology
|2 Other
650 _ 7 |a Hierarchical model
|2 Other
650 _ 7 |a Response variability
|2 Other
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Breast Neoplasms: therapy
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Resistance Training: methods
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Bayes Theorem
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
700 1 _ |a Steindorf, Karen
|0 P:(DE-He78)a0c2037d9054be26907a05ae520d5756
|b 1
|u dkfz
700 1 _ |a Schmidt, Martina
|0 P:(DE-He78)2def8f8594c8f797f5ed4398258c6cac
|b 2
|u dkfz
700 1 _ |a Rosenberger, Friederike
|0 0000-0002-4147-2958
|b 3
700 1 _ |a Wiskemann, Joachim
|0 0000-0002-5971-5436
|b 4
773 _ _ |a 10.1007/s00520-024-09001-4
|g Vol. 33, no. 1, p. 12
|0 PERI:(DE-600)1463166-0
|n 1
|p 12
|t Supportive care in cancer
|v 33
|y 2025
|x 0941-4355
909 C O |p VDB
|o oai:inrepo02.dkfz.de:294923
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)a0c2037d9054be26907a05ae520d5756
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)2def8f8594c8f797f5ed4398258c6cac
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
914 1 _ |y 2024
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2023-10-21
|w ger
915 _ _ |a DEAL Springer
|0 StatID:(DE-HGF)3002
|2 StatID
|d 2023-10-21
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2023-10-21
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2023-10-21
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SUPPORT CARE CANCER : 2022
|d 2023-10-21
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2023-10-21
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2023-10-21
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2023-10-21
920 1 _ |0 I:(DE-He78)C110-20160331
|k C110
|l Bewegung, Präventionsforschung und Krebs
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C110-20160331
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21