Physical activity self-definition and the ENCOURAGE project: An intervention outcome and a physical activity correlate
Bibliographic record
Abstract
Variables that capture physical activity (PA) related aspects of self-concept are reliable correlates of motivation for and engagement in PA (Strachan & Whaley, 2013). In recognition of this link, researchers (Marsh, Papaiannou & Theodorakis, 2006) recommend the examination of the impact of PA interventions on PA aspects of self-concept; one such construct is PA self-definition (PASD) (Kendzierski & Morganstein, 2009). This study assessed the impact of a PA intervention (the ENCOURAGE trial; a quasi-experimental PA demonstration project) on participants’ PASD and determined if PASD at intervention-end was related to PA. Participants who completed the intervention were 64 insufficiently-active people between the ages of 30 and 65. Upon physician recommendation, participants participated in 5 kinesiologist visits over 16 weeks with the goal of increasing PA. At both baseline and intervention-end (16 weeks), participants completed demographics, the PASD measure (Kendzierski, 1998) and wore accelerometers for 7 days. A paired-samples t-test comparing participants’ baseline and 16 week PASD revealed that levels were significantly greater (p < .005) at intervention-end than at baseline t (63)=2.95. A linear regression revealed a significant association at intervention-end between meeting PA guidelines and PASD scores (beta= .267, p < .05). Findings support recommendations that PA related aspects of self-concept may be important PA intervention outcomes. Future research should determine if PA related aspects of self-concept and their association with PA can be further increased through PA interventions which directly target these aspects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".