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Record W2890996110 · doi:10.1097/pep.0000000000000534

Adapted Motivational Interviewing to Promote Exercise in Adolescents With Congenital Heart Disease: A Pilot Trial

2018· article· en· W2890996110 on OpenAlexaff
A. McKillop, Sherry L. Grace, Gabriela Lima de Melo Ghisi, Kenneth R. Allison, Laura Banks, Adrienne H. Kovacs, Jane E. Schneiderman, Brian W. McCrindle

Bibliographic record

VenuePediatric Physical Therapy · 2018
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsUniversity of Toronto
FundersAmerican Physical Therapy Association
KeywordsMotivational interviewingPhysical therapyMedicineIntervention (counseling)Randomized controlled trialQuality of life (healthcare)Heart diseaseRehabilitationPopulationInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To assess a motivational interviewing (MI) intervention to improve moderate-to-vigorous physical activity (MVPA) in adolescents with congenital heart disease. METHODS: Intervention participants received one-on-one telephone-based adapted MI sessions over 3 months. Outcomes were acceptability, change mechanisms (stage of change and self-efficacy), and limited efficacy (physical activity, fitness, and quality of life). RESULTS: Thirty-six participants were randomized. Intervention participants completed 4.2 ± 1.2/6 MI sessions, with no improvements in the high self-efficacy or stage of change observed. Participants accumulated 47.24 ± 16.36 minutes of MVPA/day, and had comparable outcomes to peers without heart disease (except for functional capacity). There was no significant difference in change in any outcome by group. CONCLUSIONS: The intervention was acceptable, but effectiveness could not be determined due to the nature and size of sample. CLINICAL RELEVANCE: Pediatric cardiac rehabilitation remains the sole effective intervention to increase MVPA in this population.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.315
Teacher spread0.274 · 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 designNon-randomized trial
Domainnot available
GenreEmpirical

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

Citations11
Published2018
Admission routes1
Has abstractyes

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