Predicting Family and Child Physical Activity across Six-Months of a Family-Based Intervention: An Application of Theory of Planned Behaviour, Planning and Habit
Bibliographic record
Abstract
Family-based physical activity (PA) interventions have proven effective in modifying PA; yet, the underlying mechanisms are currently unclear. In this study, we follow-up upon prior trial data that showed changes to child moderate-to-vigorous PA (MVPA) as a result of a family education+planning intervention compared to an education-only condition. We examined parents’ perceived family PA frequency, family PA social cognitions, and family PA habit over 26 weeks between the two conditions. One hundred and two parents (of children aged 6 to 12 yrs), were recruited through advertisements and randomized to either the planning + education condition (n = 52) or an education-only condition (n = 50). Self-reported family PA, and measures of theory of planned behaviour, planning intention, and habit were completed by the contact parent at baseline, six-week, 13-week, and 26-week time-periods. The education+planning intervention increased planning intention (p <.01) and family PA (p =.06) compared to the© education-only group. The effect of condition on the putative mediators did not explain these changes (all 95% CIs crossed 0), and family PA was associated with child MVPA only at 13 weeks (p <.01). Intervention 20 assignment had a small indirect effect on family PA (favouring©the education+planning group) via Habit. Perceived behavioural©control and habit were consistent predictors of family PA (p <.05), but not PA intention or planning intention (p >.05). The planning+education intervention showed improved family PA and planning intention, yet null mediation results suggest that other variables from the family system (e.g., child motivation, other parent’s motivation and plans) are likely needed to fully understand the intervention effects. The promotion of perceived behavioural control and habit to assist in family PA is recommended for future research in this population.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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 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".