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The Physical Activity Recall Assessment for People with Spinal Cord Injury

2006· article· en· W2004367976 on OpenAlexaff
Amy E. Latimer‐Cheung, Kathleen A. Martin Ginis, B. Catharine Craven, Audrey L. Hicks

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2006
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of TorontoMcMaster University
Fundersnot available
KeywordsSpinal cord injuryConvergent validityConstruct validityRecallPsychologyPhysical fitnessPhysical activityMedicinePhysical therapyClinical psychologyPsychometricsPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: This study examined the construct validity of the physical activity recall assessment for people with spinal cord injury (PARA-SCI). METHODS: First, to assess convergent validity, relationships between PARA-SCI scores and measures of aerobic fitness and muscular strength were examined among 73 men and women with SCI. Second, extreme groups analyses were conducted. PARA-SCI scores from 158 people with SCI were compared between groups differing on demographic, disability, and behavioral characteristics. RESULTS: Scores from the leisure time physical activity (LTPA) and cumulative activity PARA-SCI categories correlated positively with parameters of aerobic fitness and muscular strength. Scores from the lifestyle activity PARA-SCI category were not consistently associated with fitness parameters. LTPA category scores could differentiate between groups differing by age, sex, gym or sports team membership, and frequency of participation in LTPA. Lifestyle and cumulative activity scores were unable to distinguish between most groups. CONCLUSION: The convergent validity study provided evidence of validity for the PARA-SCI LTPA and cumulative activity categories. The extreme groups analyses provided further evidence of the validity of the LTPA category by demonstrating differences in extreme groups. Together, these findings contribute to the accumulating evidence of the construct validity of the PARA-SCI LTPA category and its utility for assessing LTPA among individuals with SCI. These results also highlight measurement constraints of the lifestyle activity and cumulative activity categories.

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)0.003
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 score0.465
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
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 head0.031
GPT teacher head0.404
Teacher spread0.373 · 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

Citations114
Published2006
Admission routes1
Has abstractyes

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