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Record W2598408744

A Telephone-Assisted Planning Intervention to Promote Parental Support for Physical Activity Among Children and Youth With Disabilities

2016· article· en· W2598408744 on OpenAlexaff
Sunita Tanna

Bibliographic record

VenueYorkSpace (York University) · 2016
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsYork University
Fundersnot available
KeywordsIntervention (counseling)Telephone interviewPsychologyPhysical activityClinical psychologyRandomized controlled trialMedicineDevelopmental psychologyPhysical therapyPsychiatryInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Enhanced parental support could increase physical activity (PA) among children and youth with disabilities (CYD). The multi-process action control (M-PAC) model highlights behavioral strategies such as action planning (AP) as critical in facilitating parental support. There is no known research examining AP as a tool to promote parental PA support among parents of CYD. Purpose: Evaluate a telephone-assisted AP intervention for promoting parental PA support. Method: Parents of CYD were randomized to a telephone-assisted AP intervention (n= 28) or no-support control group (n= 29). Results: Compared to the no-support control group, parents who received the telephone-assisted AP intervention were 80% more likely to action plan. A significant time x condition interaction was found for behavioural strategies (i.e., planning, monitoring) (F(1,36)= 4.14, p= .049). Conclusion: Parents in the telephone-assisted AP intervention increased behavioural strategies to support their childs PA, which suggests AP support may enhance AP and parent support for PA.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.302
Teacher spread0.264 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

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