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Record W4413924928 · doi:10.1371/journal.pone.0330848

Improving adherence to physical activity in treatment-resistant depression: Protocol for a pilot randomized controlled trial of a remotely delivered program

2025· article· en· W4413924928 on OpenAlexafffund
Vanessa K. Tassone, Danika A. Quesnel, Karisa Parkington, Alice Rueda, Josh Martin, Gyu Hee Lee, Melissa L. deJonge, Wendy Lou, David Wiljer, Benoit H. Mulsant, Catherine M. Sabiston, Venkat Bhat

Bibliographic record

VenuePLoS ONE · 2025
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsCentre for Addiction and Mental HealthUniversity of TorontoUniversity Health NetworkThe Scarborough HospitalPublic Health OntarioSt. Michael's Hospital
FundersNational Institutes of HealthMinistère de la Défense NationaleEisaiSocial Sciences and Humanities Research Council of CanadaRoyal College of Physicians and Surgeons of CanadaUniversity of TorontoPatient-Centered Outcomes Research InstituteCanadian Psychological AssociationAssociated Medical ServicesGovernment of CanadaFondation Brain CanadaCanadian Institutes of Health ResearchCentre for Addiction and Mental Health FoundationAmerican Foundation for Suicide Prevention
KeywordsRandomized controlled trialMedicineMoodPhysical therapyDepression (economics)Major depressive disorderTreatment-resistant depressionClinical trialPilot trialPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: At least 30% of individuals with major depressive disorder do not respond to conventional treatments (i.e., they meet the criteria for treatment-resistant depression [TRD]). Alternative therapeutic modalities are needed. Some studies have reported that physical activity (PA) programs can improve depressed mood and reduce depressive symptoms. However, few studies to date have examined the effects of PA as an adjunct to standard treatment for TRD. The MoveU.HappyU PA program has been shown to improve depressive symptoms in university students. Before a definitive trial testing MoveU.HappyU in TRD can be designed, pilot data is needed. METHODS: The current study is a single-site, pilot, two-arm randomized controlled trial. It will investigate the feasibility of randomizing 30 adult participants with TRD to: (1) a remotely delivered four-week MoveU.HappyU adjunct to treatment as usual (TAU), or (2) TAU. Acceptability of the PA program will also be assessed. Participants randomized to the PA program will meet weekly with a program trainer to engage in PA counselling and structured PA. They will also be instructed to independently complete 120 minutes of PA per week. The four-week intervention period will be followed by six weeks of observation. Throughout the study, both groups will receive the same digital monitoring via self-report questionnaires and a wearable device, as well as traditional monitoring (i.e., clinical assessments administered by a masked rater). DISCUSSION: This pilot study will assess the feasibility of a trial implementing MoveU.HappyU for TRD and generate clinical parameter estimates for larger studies. This line of research highlights the importance of PA programs that integrate personalized PA with PA counselling. It will also influence the development of interventions that are more tailored and effective. TRIAL REGISTRATION: ClinicalTrials.gov NCT06404320.

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)0.036
metaresearch head score (Gemma)0.029
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 score0.071
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.029
Meta-epidemiology (narrow)0.0060.004
Meta-epidemiology (broad)0.0110.006
Bibliometrics0.0030.004
Science and technology studies0.0050.004
Scholarly communication0.0040.003
Open science0.0050.002
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0710.010

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 head0.109
GPT teacher head0.393
Teacher spread0.285 · 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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