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Record W4293582136 · doi:10.3233/nre-220037

The impact of sport participation for individuals with spinal cord injury: A scoping review

2022· review· en· W4293582136 on OpenAlexaff
Lovisa Cheung, Katherine Chan, Matthew G. Heffernan, Maureen Pakosh, Sander L. Hitzig, Susan Marzolini, Sukhvinder Kalsi‐Ryan, Kristin E. Musselman

Bibliographic record

VenueNeurorehabilitation · 2022
Typereview
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsSunnybrook Health Science CentreToronto Rehabilitation InstituteUniversity of TorontoHealth Sciences CentreUniversity Health Network
Fundersnot available
KeywordsCINAHLPsycINFOMEDLINESpinal cord injuryChecklistQuality of life (healthcare)Physical therapyMedicinePsychologyClinical psychologyGerontologyPsychological interventionPsychiatryNursingSpinal cord

Abstract

fetched live from OpenAlex

BACKGROUND: Spinal cord injury (SCI) leads to various physical, psychological, and social challenges. Sport is a holistic physical activity that may target these challenges. No literature systematically summarizes the overall impact of sport participation for those with SCI. OBJECTIVE: To comprehensively report the findings of quantitative studies investigating the impact of sport on the physical, psychological, and social health of individuals with SCI. METHODS: Six databases were searched: APA PsycInfo, CINAHL, Embase, Emcare, Ovid Medline, and PubMed (non-Medline). Studies were included if (a) participants were adults with SCI for ≥12 months, (b) outcomes resulting from ≥3 months of sport participation were investigated, (c) sport occurred in the community setting, and (d) comparisons of sport and non-sport conditions were analyzed. Details regarding study characteristics, participants, sport(s), and outcomes were extracted. Methodological quality was assessed using the Modified Downs and Black checklist. RESULTS: Forty-nine studies were included. Study quality ranged from poor to moderate. Sport participation showed favourable results for outcomes including function, quality of life, and community integration. Mixed results were found for outcomes including cardiac function, depressive symptoms, and employment. No significant associations were found for postural control, resilience, and education. CONCLUSIONS: The review findings suggest sport may be a promising intervention for addressing some challenges associated with SCI.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.823
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
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 head0.184
GPT teacher head0.551
Teacher spread0.367 · 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 designOther design
Domainnot available
GenreReview

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

Citations17
Published2022
Admission routes1
Has abstractyes

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