Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug 13;14(1):155.
doi: 10.1186/s13102-022-00548-5.

Patterns and determinants of adherence to resistance and endurance training during cancer treatment in the Phys-Can RCT

Affiliations

Patterns and determinants of adherence to resistance and endurance training during cancer treatment in the Phys-Can RCT

Hannah L Brooke et al. BMC Sports Sci Med Rehabil. .

Abstract

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/m2) 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).

Keywords: Adherence; Cancer; Determinants; Endurance training; Exercise; FITT principles; Patterns; Resistance training.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
CONSORT flow chart showing flow of participants through to randomisation in the Phys-Can study. HI, high intensity; L-MI, low-to-moderate intensity, BCS; behaviour change support
Fig. 2
Fig. 2
The correlation between adherence to resistance training overall and adherence to endurance training overall. NB. Cubic splines were fitted with 5 cross-median knots to illustrate the relationship between overall adherence to resistance training and overall adherence to endurance training for each training intensity group
Fig. 3
Fig. 3
Correlation between adherence to resistance training and endurance training frequency FITT principles. Figure shows the correlation between adherence to resistance training and endurance training frequency (A), intensity (B), time (C), and type (D) (FITT principles) for participants randomised to high intensity training (n = 288). NB. Cubic splines were fitted with 5 cross-median knots to illustrate the relationship between adherence to prescribed frequency of resistance training and adherence to prescribed frequency of endurance training
Fig. 4
Fig. 4
Patterns of adherence to resistance and endurance training frequency, intensity, time, and type for participants randomised to high intensity training (n = 288). NB. Each’slice’ of the figure represents the proportion of participants with a specific combination of adherence levels for the four FITT principles, for example, 18.8% of participants had 0–25% adherence to all four FITT principles for resistance training, while 3.5% of participants had 0–25% adherence to the prescribed resistance training frequency but 75–100% adherence to the prescribed resistance training intensity, time and type. Blue segments represent 0–25% adherence, orange segments represent > 25–50% adherence, grey segments represent > 50–75% adherence, and yellow segments represent > 75–100% adherence
Fig. 5
Fig. 5
Adherence clusters based on overall adherence within each training intensity group. Orange points represent cluster 1, i.e. individuals within the low adherence to endurance training and/or resistance training; green points represent cluster 2, i.e. individuals with low-to-moderate adherence to endurance training and moderate-to-high adherence to resistance training; grey points represent cluster 3, i.e. individuals with high adherence to endurance training and moderate-to-high adherence to resistance training

Similar articles

Cited by

References

    1. Campbell KL, Winters-Stone KM, Wiskemann J, May AM, Schwartz AL, Courneya KS, et al. Exercise guidelines for cancer survivors: consensus statement from international multidisciplinary roundtable. Med Sci Sports Exerc. 2019;51(11):2375–2390. doi: 10.1249/MSS.0000000000002116. - DOI - PMC - PubMed
    1. Meneses-Echavez JF, Gonzalez-Jimenez E, Ramirez-Velez R. Effects of supervised multimodal exercise interventions on cancer-related fatigue: systematic review and meta-analysis of randomized controlled trials. Biomed Res Int. 2015;2015:328636. doi: 10.1155/2015/328636. - DOI - PMC - PubMed
    1. Gerritsen JK, Vincent AJ. Exercise improves quality of life in patients with cancer: a systematic review and meta-analysis of randomised controlled trials. Br J Sports Med. 2016;50(13):796–803. doi: 10.1136/bjsports-2015-094787. - DOI - PubMed
    1. Neil-Sztramko SE, Medysky ME, Campbell KL, Bland KA, Winters-Stone KM. Attention to the principles of exercise training in exercise studies on prostate cancer survivors: a systematic review. BMC Cancer. 2019;19(1):321. doi: 10.1186/s12885-019-5520-9. - DOI - PMC - PubMed
    1. Ormel HL, van der Schoot GGF, Sluiter WJ, Jalving M, Gietema JA, Walenkamp AME. Predictors of adherence to exercise interventions during and after cancer treatment: a systematic review. Psychooncology. 2018;27(3):713–724. doi: 10.1002/pon.4612. - DOI - PMC - PubMed

Associated data