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Record W2141189224 · doi:10.1123/apaq.21.1.71

Psychosocial Predictors and Exercise Intentions and Behavior among Individuals with Spinal Cord Injury

2004· article· en· W2141189224 on OpenAlexaff
Amy E. Latimer‐Cheung, Kathleen A. Martin Ginis, B. Catharine Craven

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2004
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsToronto Rehabilitation InstituteMcMaster University
Fundersnot available
KeywordsTheory of planned behaviorPsychosocialPsychologySpinal cord injuryParaplegiaPsychological interventionPopulationClinical psychologyPhysical therapyPhysical medicine and rehabilitationSpinal cordMedicineControl (management)Psychiatry

Abstract

fetched live from OpenAlex

Using the theory of planned behavior as a theoretical framework, the present study examined psychosocial predictors of exercise intentions and behavior among 124 men and women with spinal cord injury. Theory of planned behavior constructs were measured using an exercise–specific questionnaire for individuals with spinal cord injury. Exercise behavior was assessed using an adapted version of the Godin Leisure Time Exercise Questionnaire. Regression analyses indicated that the theory of planned behavior had limited utility in this population. Among individuals with tetrapelgia, perceived behavioral control was the only determinant of exercise intentions and behavior. Among people with paraplegia, none of the theory of planned behavior constructs predicted exercise intentions or behavior. These results have methodological and practical implications for future research and exercise interventions, respectively.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.866

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 integrity0.0000.001
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 head0.027
GPT teacher head0.351
Teacher spread0.324 · 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

Citations33
Published2004
Admission routes1
Has abstractyes

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