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Record W2059852378 · doi:10.1097/pep.0b013e3181db8aaa

Description of Exercise Participation of Adolescents With Cerebral Palsy Across a 4-Year Period

2010· article· en· W2059852378 on OpenAlexafffund
Laura Brunton, Doreen J. Bartlett

Bibliographic record

VenuePediatric Physical Therapy · 2010
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsWestern University
FundersCanadian Institutes of Health Research
KeywordsCerebral palsyPhysical medicine and rehabilitationPeriod (music)Physical therapyMedicinePediatricsPsychology

Abstract

fetched live from OpenAlex

In Brief Purpose: The purposes of this study were to describe (1) the types of exercise participation of adolescents with cerebral palsy; (2) the weekly duration of stretching, strengthening, and cardiovascular exercise; (3) how the level of activity compares with national health guidelines; and (4) the change in participation over 4 years. Methods: Participants included 126 males and 104 females (mean age = 14.7 years, SD = 1.7 years) who reported physical activities in the previous week. Analyses included frequency counts and proportions, stacked bar graphs, and 2-way analyses of variance of exercise participation by Gross Motor Function Classification System (GMFCS) and sex. Results: A significant main effect of GMFCS level was detected for light and moderate exercise. A significant interaction of GMFCS level and sex was found for stretching; females stretched more. An average of 9.4% and 11.4% of our sample participated in weekly levels of moderate and vigorous exercise, respectively. Conclusions: Pediatric physical therapists should promote increased exercise participation rates among youths with cerebral palsy. In this study the authors found that low numbers of adolescents with CP participated in “moderate” and “vigorous” exercise on a weekly basis and that their participation levels declined over a 4-year period. The authors urge pediatric physical therapists to promote increased exercise participation among youth with CP.

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 score0.055
Threshold uncertainty score0.383

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 head0.020
GPT teacher head0.293
Teacher spread0.273 · 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

Citations40
Published2010
Admission routes2
Has abstractyes

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