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Record W4410245431 · doi:10.1186/s12885-025-13904-8

A randomized controlled trial adding behavioral counseling to supervised physical activity in people living with and beyond cancer (BOOST-UP-): a study protocol for a live remotely-delivered behavior change intervention

2025· article· en· W4410245431 on OpenAlexafffund
Linda Trinh, Ryan E. Rhodes, Shabbir M.H. Alibhai, Kristin L. Campbell, David M. Langelier, Eugene Chang, Tracey J. F. Colella, Brian Chan, Daniel Santa Mina, Paul Oh, Edward McAuley

Bibliographic record

VenueBMC Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsToronto Rehabilitation InstituteCanada Research ChairsPrincess Margaret Cancer CentreUniversity of British ColumbiaUniversity of CalgaryUniversity of VictoriaUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsRandomized controlled trialPsychological interventionMedicineIntervention (counseling)Physical therapyBehavior changeClinical psychologyNursing

Abstract

fetched live from OpenAlex

BACKGROUND: For many people living with and beyond cancer (LWBC), physical activity (PA) declines significantly after supervised PA interventions. The effect of short-term, supervised PA interventions on motivational outcomes and longer-term PA in people LWBC is limited, especially theoretically-based approaches to identify key motivational outcomes for behavior change. The purpose of this study is to compare the effects of a 6-month virtual supervised PA group plus standard exercise counseling (PA + EC) versus a virtual supervised PA plus motivationally-enhanced behavioral counseling (PA + BC) group on moderate-to-vigorous intensity PA (MVPA) in people LWBC. METHODS: This study is a two-armed, multi-site randomized controlled trial (RCT). People LWBC will be recruited and randomized to a 6-month virtual supervised PA intervention plus standard exercise counseling (PA + EC group; n = 118) or a 6-month virtual supervised PA plus behavioral counseling based on the Multi-Process Action Control (M-PAC) framework (PA + BC group; n = 118). Supervised PA will be delivered via synchronous Zoom classes that tapers to a home-based protocol at the end of the study. The goal of both groups is to gradually increase PA to the cancer PA guidelines (e.g., 90 min of MVPA/week). The PA + BC group will receive twelve behavioral counseling sessions with a qualified exercise professional (QEP), and the corresponding counseling session will be delivered bi-weekly. The behavioral counseling sessions will be based on the M-PAC's reflective, regulatory, and reflexive processes. In addition to the supervised PA classes, the PA + EC (i.e., attention control group) will receive twelve standard PA counseling sessions based on PA training principles. People LWBC will complete measures at baseline, midpoint, post-intervention (6-months), at 6-months follow-up, and 1-year follow-up. Self-reported measures include quality of life (QoL), motivational outcomes, health economics, and patient satisfaction. Objective measures include PA via accelerometry. Multilevel modelling will examine change in the primary (i.e., PA) and secondary outcomes (i.e., motivational outcomes from the M-PAC, physical function, QoL) at the five time points. DISCUSSION: This study will create greater understanding on efficacious programming to support PA maintenance that can be used by clinical and community-based organizations as a low-cost, supportive care tool to improve health outcomes for people LWBC. TRIAL REGISTRATION: Clinicaltrials.gov ID NCT06624930.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.043
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.012
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0430.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.407
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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