Impact of a Home‐Based Obesity Prevention Intervention on Children's and Parents' <scp>BMI</scp> : Findings From the Guelph Family Health Study Randomised Controlled Trial
Bibliographic record
Abstract
ABSTRACT Background To prevent the development of obesity and related comorbidities, interventions must begin early in life. This study aimed to assess the impact of a home‐based obesity prevention intervention on children's and parents' body mass index (BMI). Methods The Guelph Family Health Study is a randomised controlled trial of a 6‐month obesity prevention intervention aimed at establishing healthful household routines regarding family meals, children's screen time, physical activity and sleep among 285 families with preschool‐aged children. The control group received 6 emails on child health behaviours. The analytic sample included 376 children (3.6 ± 1.3 years old, 20.2% at risk for overweight, 8.2% with overweight/obesity) and 481 parents (58.2% with overweight/obesity). Results Compared to controls, the intervention had no significant impact on children's or parents' BMI at post‐intervention and 1 year after the intervention. Children in both the intervention and control groups had a non‐significant decrease in BMI from baseline to post‐intervention [intervention; −0.23 kg/m 2 (95% CI, −0.46, 0.002); control; −0.17 kg/m 2 (95% CI, −0.40, 0.06)] and from baseline to 1‐year follow‐up [intervention, −0.29 kg/m 2 (95% CI, −0.67, 0.08); control, −0.06 kg/m 2 (95% CI, −0.42, 0.30)]. Conclusions Compared to controls, this home‐based obesity prevention intervention had no significant impact on children's or parents' BMI immediately after the intervention or after 1 year of follow‐up, indicating that the intervention had no additional effect compared to the control group on children's or parents' BMI over time. Future data collection phases will allow for the examination of the intervention effect on BMI as children age. Trial Registration This study is registered at clinicaltrial.gov identifier: NCT02939261
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| 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 | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".