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Record W2569979321 · doi:10.15453/2168-6408.1259

The Role of Occupational Therapy in Community-Based Programming: Addressing Childhood Health Promotion

2017· article· en· W2569979321 on OpenAlexaboutno aff
Julie Kugel, Heather Javherian-Dysinger, Liane Hewitt

Bibliographic record

VenueThe Open Journal of Occupational Therapy · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyChildhood obesityHealth promotionObesityMedicinePromotion (chess)Occupational safety and healthGerontologyPsychologyNursingPublic healthPhysical therapyPolitical scienceOverweight

Abstract

fetched live from OpenAlex

Background: Obesity and poor health habits impact youth’s health and occupational participation. Occupational therapy’s role in preventing and treating obesity continues to emerge in the research literature. This article explores the impact of a community-based program emphasizing health and wellness for female youth. Methods: Five girls 11 to 13 years of age participated in the healthy occupations program. Before and after the program, the participants engaged in an individual semi-structured interview and completed the Canadian Occupational Performance Measure and the CATCH Kids Club Questionnaire. The youth participated in a focus group midprogram. Results: The participants were receptive to information regarding healthy behaviors and initiated positive health behavior changes after implementation of a 7-week healthy lifestyle community- based program. Conclusion: Occupational therapy can collaborate with community partners to provide programming focused on health promotion and prevention as part of the interprofessional approach to preventing and treating childhood obesity and building healthier communities.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.000
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0000.002
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 head0.495
GPT teacher head0.583
Teacher spread0.088 · 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.

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

Citations9
Published2017
Admission routes1
Has abstractyes

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