Individual, dyadic, collaborative planning, physical activity, and nutrition: A randomized controlled trial in parent–child dyads.
Bibliographic record
Abstract
OBJECTIVE: This study was designed to investigate the effects of individual, dyadic, and collaborative planning on moderate-to-vigorous physical activity (MVPA; primary outcome) and energy-dense food intake (secondary outcome) in dyads of parents and their 9-15-year-old children. Individual planning reflects an "I-for-me" planning of one person's behavior. Collaborative ("we-for-us") planning refers to joint planning of both dyad members' behavior, whereas dyadic ("we-for-me") planning involves joint planning of only the target person's behavior. METHOD: = 247 dyads participated in a randomized controlled trial with individual, dyadic, or collaborative physical activity (PA) planning and control conditions (education about PA, sedentary behavior, nutrition, energy intake-expenditure balance). MVPA was measured with ActiGraph wGT3X-BT accelerometers at baseline, 1-week, and 36-week follow-ups. Energy-dense food intake was self-reported at baseline, 9-week, and 36-week follow-ups. Linear mixed models were fit for parents and children separately. RESULTS: At the 36-week follow-up, children in the dyadic "we-for-me" planning condition decreased their MVPA compared to the control condition. At the same time, children in the dyadic planning condition also decreased energy-dense food intake at the 36-week follow-up. No effects were found among children in individual and collaborative PA planning conditions. Parents in any experimental conditions decreased energy-dense food intake. CONCLUSIONS: Children's decrease in MVPA in dyadic PA planning condition was offset by a reduction of energy intake, which may represent a compensatory mechanism. The limited effectiveness of the dyadic "we-for-me" interventions in parent-child dyads may result from young people's needs for individuation and their reactance to parental support. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".