Design and Rationale for a Parent-Led Intervention to Increase Fruit and Vegetable Intake in Young Childhood Cancer Survivors (Reboot): Protocol for a Pilot Study
Bibliographic record
Abstract
BACKGROUND: Poor dietary habits are common among childhood cancer survivors, despite increasing their risk of cardio metabolic complications after cancer treatment. Here, we describe the design and rationale for a pilot telephone-based, parent-led intervention aimed at increasing fruit and vegetable intake in young cancer survivors (Reboot). OBJECTIVE: This pilot study aims to assess the feasibility and acceptability of delivering evidence-based telephone support to parents of childhood cancer survivors. A secondary aim includes assessing the effect of Reboot on improving childhood cancer survivors' dietary quality by increasing child fruit and vegetable intake and variety and its contribution to overall nutrient intake. METHODS: We aim to recruit parents of 15 young cancer survivors aged 2 to 12 years who have completed cancer treatment less than five years ago. The intervention comprises of 4 weekly 45-minute telephone sessions led by a health professional and one booster session 6 weeks later. Sessions address the effects of cancer treatment on children's diets, recommended fruit and vegetable intake for children, and evidence-based strategies to promote the consumption of fruit and vegetables as well as to manage fussy eating. RESULTS: Reboot is based on an existing, evidence-based parent nutrition intervention and modified for childhood cancer survivors following extensive collaboration with experts in the field. Primary outcomes of feasibility and acceptability will be measured by the number of participants who complete all five sessions, average session length (minutes), length between sessions (days) and parent Likert ratings of the usefulness and impact of the intervention collected after the booster session. Of the 15 participants we aim to recruit, 3 have completed the intervention, 1 declined to participate, 11 are actively completing the intervention and 2 participants are providing written consent. The remaining 3 participants will be recruited via telephone follow-up calls. The intervention is due to be completed by July 2018. CONCLUSIONS: Reboot aims to support healthy dietary behaviors in childhood cancer survivors who are at increased risk of developing serious cardiometabolic complications after their cancer treatment. Results will inform the development and implementation of future evidence-based dietary interventions delivered to childhood cancer survivors, particularly those living in rural and remote areas. REGISTERED REPORT IDENTIFIER: RR1-10.2196/9252.
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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 | 0.036 | 0.028 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.051 | 0.011 |
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".