Evaluation of a Mindfulness-Based Mobile App Aimed at Promoting Awareness of Weight-Related Behaviors in Adolescents: A Pilot Study
Bibliographic record
Abstract
BACKGROUND: Mindfulness-based interventions are reported to be highly acceptable and have positive effects on youth, yet most are clinic- or school-based aimed at emotional regulation or academic performance. To provide flexible program delivery, we developed and tested a standalone mindfulness-based app aimed at improving weight-related behaviors (eg, diet, physical activity, sleep) in adolescents. OBJECTIVE: Our objective was to assess the feasibility, acceptability, and utility of a mindfulness-based mobile app. METHODS: In a single-arm pilot study, 15 adolescents (14-18 years) were prompted to access the app once a day, every day for 6 weeks. Outcomes were measured by in-app and poststudy surveys, and descriptive statistical analyses were performed. Time within a mindfulness state was self-reported during weekly timed practices. RESULTS: The app was rated highly for content and encouraging the practice of activities to promote mindfulness states. Teens reported increased awareness of eating behaviors and high adherence, particularly during physically active practices. Average self-reported time spent in a mindfulness state increased 2.5 times by week 6 (78 [SD 17] seconds) compared to week 1 (31 [SD 21] seconds). CONCLUSIONS: The high acceptability and utility ratings of the app, increases in reported time in mindfulness states, and high frequency of participation, including mindful eating and physical activity, suggest the mindfulness-based mobile app has the potential to improve awareness of weight-related behaviors.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".