Reflecting on physical activity across 2 years of the COVID‐19 pandemic: Predictors of intention‐behavior profiles
Bibliographic record
Abstract
The COVID-19 pandemic has affected how many people engage in regular moderate-to-vigorous intensity physical activity (MVPA). The purpose of this study was to predict current and dynamic (across 2 years of the pandemic) intention and MVPA profiles using the multi-process action control (M-PAC) framework. A representative sample of 977 English-speaking Canadians (18 + years) completed measures of reflective (instrumental attitude, affective attitude, perceived capability, and opportunity), regulatory (planning and self-monitoring), and reflexive (habit and identity) processes, intention, and MVPA. These measures included current assessments and reflections prior to the COVID-19 restrictions. Three current intention-behavior profiles (nonintenders, unsuccessful intenders, and successful intenders) and five dynamic intention-MVPA by prepandemic MVPA profiles (consistent nonintenders, relapsed nonintenders, consistent unsuccessful intenders, relapsed unsuccessful intenders, and consistent successful intenders) emerged from these data, showing few increased MVPA across the pandemic. The current and dynamic profiles were subsequently predicted by changes in specific reflective, regulatory, and reflexive processes across the pandemic; however, only change in identity was the critical predictor of successful MVPA engagement in the dynamic 2-year MVPA profiles. Collectively, the findings support the joint promotion of reflective, regulatory, and reflexive processes in the choice of behavior change techniques to promote postpandemic MVPA intention and behavior.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".