Developing physical activity interventions for adults with spinal cord injury. Part 1: A comparison of social cognitions across actors, intenders, and nonintenders.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: This article is the first in a three-part series focused on designing theory-based interventions to increase leisure time physical activity (LTPA) in persons with spinal cord injury (SCI). The purpose of this first study was to compare social cognitions for LTPA between people classified as LTPA actors, intenders, and nonintenders, as per Schwarzer's Health Action Process Approach (HAPA) model. METHOD: Participants were 238 men and women living with a SCI (M age = 44.14, SD = 12.74; 44.5% paraplegic) who were subsequently classified as LTPA actors (n = 105), intenders (n = 73), or nonintenders (n = 60). Participants completed a questionnaire that assessed the following HAPA constructs: LTPA outcome expectancies, self-efficacy, intentions, planning, and action control. RESULTS: A MANCOVA revealed significant between-groups differences for all variables (ps < .001). For all of the measures, actors scored significantly higher than intenders who, in turn, scored significantly higher than nonintenders. CONCLUSION/IMPLICATIONS: It is both theoretically and practically important to distinguish between LTPA nonintenders, intenders, and actors when developing LTPA-enhancing interventions for people with SCI. These distinctions inform the design and testing of the interventions reported in the two accompanying articles.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it