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Record W2119093210 · doi:10.3109/09638280903514713

The influence of selected personal and environmental factors on leisure activities in adults with cerebral palsy

2010· article· en· W2119093210 on OpenAlexaff
Normand Boucher, Francine Dumas, Désirée B. Maltais, Carol L. Richards

Bibliographic record

VenueDisability and Rehabilitation · 2010
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsUniversité LavalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsCerebral palsyPhysical medicine and rehabilitationPsychologyLeisure activityActivities of daily livingPhysical therapyDevelopmental psychologyMedicineGerontologySocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: This study examined the influence of selected personal and environmental factors on leisure participation in adults with cerebral palsy (CP). METHODS: A group of 145 adults with CP (18-41 years old, 51% male) responded to questionnaires regarding 1) socio-demographic and health factors, 2) life habits (Life-H: short version 3.1) and 3) the environment (Measure of the Quality of the Environment: version 2.0). A chi2 statistic (p<0.05) estimated the association between 1) socio-demographic and health factors and the environment and 2) the level of leisure activity participation. RESULTS: Most participants (mean age=28 years) lived with their parents. Leisure activities were their principal occupation. Mobility and participation were positively associated. The environment (e.g. accompanying services, adapted transport, cultural services and computers) facilitated leisure for those with a high or moderate participation level. Individuals with low participation perceived the environment as having no influence. CONCLUSIONS: Adults with CP who are more mobile participate more in leisure activities. A positive perception of the environment (facilitating leisure participation) likely reflects the individual's ability to benefit from the environment, whereas a neutral view of the environment may reflect the fact that other factors, such as mobility limitations, are of greater relevance to leisure participation.

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 score0.007
Threshold uncertainty score0.464

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 studies0.0000.001
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 head0.004
GPT teacher head0.217
Teacher spread0.213 · 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

Citations43
Published2010
Admission routes1
Has abstractyes

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