Adolescent behavioural intentions: Secondary outcomes from a cluster randomized controlled trial of the Health4Life school-based lifestyle modification intervention
Bibliographic record
Abstract
INTERVENTION: Health4Life: a school-based eHealth intervention targeting multiple health behaviour change (MHBC). RESEARCH QUESTION: Does Health4Life impact secondary outcomes of self-reported intentions regarding six lifestyle behaviours in adolescents (alcohol use, tobacco smoking, screentime, physical activity, discretionary beverage consumption, and sleep)? METHODS: We implemented a cluster randomized controlled trial within secondary schools across three Australian states. Schools were randomly assigned (1:1) to receive either the Health4Life intervention, which consisted of a six-module, web-based program and accompanying smartphone app, or an active control (standard health education). Randomization was stratified by site and school gender composition (using Blockrand in R). All students aged 11-13 years who attended the participating schools and were fluent in English were eligible. Students completed self-report questionnaires at baseline, post-intervention, 12 months, and 24 months. Outcomes were intentions to try alcohol, try tobacco, reduce screentime, engage in physical activity on most or all days, swap discretionary beverages for water, and meet sleep guidelines. Mixed effects models estimated between-group differences in the outcomes over 24 months. RESULTS: Immediately post-intervention, Health4Life significantly reduced intentions to try alcohol and tobacco and increased intentions for longer sleep and reduced screentime compared to control. Intervention effects on screentime intentions persisted at 12 months but not at 24 months. No lasting effects were observed on intentions for physical activity or discretionary beverage consumption. CONCLUSION: Health4Life shows promise in influencing adolescent intentions across various MHBC areas, especially immediately after intervention. However, further investigation is needed to sustain these intention changes beyond short term to facilitate behaviour change.
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.
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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| 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) | 0.013 | 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".