Background: Knowledge regarding adherence is necessary to improve the specificity of exercise interventions during cancer treatment. We aimed to determine adherence to resistance and endurance training interventions in parallel; identify subgroups with similar adherence characteristics; and examine determinants of these subgroups.
Methods: In the Phys-Can randomised controlled trial, participants (n = 577, 81% women, mean(SD) age 59(12) years, and 50% with BMI ≥ 25 kg/m) starting (neo-) adjuvant treatment for breast, colorectal or prostate cancer were randomized to 6-month of high (HI) or low-to-moderate intensity (LMI) supervised, group-based resistance training and individual home-based endurance training, with or without behavior change support. Adherence was calculated as performed exercise volume as a proportion of prescribed exercise volume (0-100%), overall (HI and LMI groups) and for frequency, intensity, type and time (FITT principles) (HI group). Adherence to resistance training was plotted against adherence to endurance training overall and for each FITT principle. K-means cluster analysis was used to identify subgroups with similar adherence characteristics. Potential determinants of subgroup membership were examined using multinomial logistic regression.
Results: We found a positive curvilinear correlation between adherence to resistance and endurance training overall. A similar correlation was seen for adherence to frequency of resistance vs. endurance training in the HI group. In the HI group, adherence to resistance training intensity and time was > 80% for almost all participants. For endurance training adherence ranged from 0 to 100% for each of the FITT principles. Three clusters were identified, representing low, mixed, and high adherence to resistance and endurance training overall. Participants with higher age (Relative risk ratio [95% CI]; LMI: 0.86[0.77-0.96], HI: 0.83[0.74-0.93]), no behaviour change support (LMI: 0.11[0.02-0.56], HI: 0.20[0.05-0.85]), higher cardiorespiratory fitness (LMI: 0.81[0.69-0.94], HI: 0.80[0.69-0.92]), more fatigue (according to the reduced activity subscale of the MFI questionnaire) (LMI: 0.48[0.31-0.73], HI: 0.69[0.52-0.93]) or higher quality of life (LMI: 0.95[0.90-1.00], HI: 0.93[0.88-0.98]) were less likely to be in the low than the high adherence cluster whether randomised to LMI or HI training. Other determinants were specific to those randomised to LMI or HI training.
Conclusions: In an exercise intervention during cancer treatment, adherence to resistance and endurance training were positively correlated. Personalisation of interventions and additional support for some subgroups of participants may improve adherence. Trial registration NCT02473003 (clinicaltrials.gov, Registered 16/06/2015).
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http://dx.doi.org/10.1186/s13102-022-00548-5 | DOI Listing |
Neurotrauma Rep
January 2025
Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA.
Exercise to treat traumatic brain injury (TBI) is a novel approach that has only become recognized in the past decade. High-intensity gait training (HIGT) has been studied in subjects following stroke; however, little research investigates similar protocols on patients with TBI. The study evaluated HIGT as an intervention for enhancing patient recovery after TBI.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Sport Games, Józef Piłsudski University of Physical Education in Warsaw, Marymoncka 34, Warsaw, 00-968, Poland.
This study aimed to examine and compare the anthropometric profiles, motor skills, game-related abilities, and functional capacities of under-15 (U-15) and under-16 (U-16) male basketball players, evaluate the impact of maturity offset, and predict performance across physical and sport-specific domains. A total of 234 athletes participated in a comprehensive test battery, assessing morphological (height, mass, standing reach), physical (sprinting, agility, jump height, endurance), technical (jump shot, free throws, dribbling), and functional movement screen variables. The U-16 group outperformed U-15 players in physical characteristics and jump height.
View Article and Find Full Text PDFVet Clin North Am Equine Pract
January 2025
Department of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA. Electronic address:
Myofibrillar myopathy (MFM) is characterized by segmental disarray of myofibrils and ectopic accumulation of a protein called desmin. Previously thought to be a glycogen storage disease, MFM is now recognized as a stand-alone myopathy. Endurance Arabians with MFM usually present with exertional rhabdomyolysis (MFM-ER) at the end of races, elevated serum muscle enzymes, and myoglobinuria.
View Article and Find Full Text PDFPhysiol Rep
February 2025
Motion and Exercise Science, University of Stuttgart, Stuttgart, Germany.
The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requires precise segmentation of structures. In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training.
View Article and Find Full Text PDFIran J Basic Med Sci
January 2025
i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), 47012 Valladolid, Spain.
Objectives: While ketone bodies are not the main heart fuel, exercise may increase their uptake. Objectives: This study aimed to investigate the effect of 6-week endurance training and Pyruvate dehydrogenase kinase 4 )PDK4( inhibition on ketone bodies metabolism in the heart of diabetic rats with emphasis on the role of Peroxisome proliferator-activated receptor-gamma coactivator PGC-1alpha (PGC-1α).
Materials And Methods: Sixty male Wistar rats were divided into eight groups: healthy control group (CONT), endurance training group (TRA), diabetic group (DM), DM + EX group, Dichloroacetate (DCA) group, DM + DCA group, TRA + DCA group, and DM + TRA + DCA group.
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