Randomized controlled trial evaluating a virtual parenting intervention for young children at risk of obesity: Study protocol for Parenting Addressing Early Years Intervention with Coaching Visits in Toronto (PARENT) trial
Bibliographic record
Abstract
Abstract Background: The prevalence of overweight (15%) and obesity (6%) in children under five years of age in Canada are high, and young children with overweight and obesity are at increased risk of the development of chronic disease(s) in adulthood. Prior research has demonstrated very few published trials on effective obesity prevention interventions in young children at risk of obesity, within primary health care settings. The aim of this study is to determine if 18 - 48-month-old children at risk for obesity, who are randomized to receive the Parents Together program (i.e., intervention group) have reduced body mass index z-score (zBMI), compared to those not receiving the intervention, at 12-month follow up. Secondary clinical outcomes between the intervention and control groups will be compared at 12 months.Methods: A pragmatic, parallel group, 1:1, superiority, randomized control trial (RCT) through the TARGetKids! Practice Based Research Network will be conducted. Young children (ages 18 – 48 months) who are at increased risk for childhood obesity will be invited to participate. Parents who are enrolled in the intervention group will participate in eight weekly group sessions and 4 – 5 coaching visits , facilitated by a trained public health nurse. Children and parents who are enrolled in the control group will receive usual health care. The primary outcome will be compared between intervention arms using an analysis of covariance (ANCOVA). Feasibility and acceptability will be assessed by parent focus group and interviews, and fidelity to the intervention will be measured using nurse completed checklists. A cost-effectiveness analysis (CEA) will be conducted. Discussion: This study will aim to reflect the social, cultural, and geographic diversity of children in primary care in Toronto, Ontario represented by an innovative collaboration among applied child health researchers, community health researchers, and primary care providers (i.e., paediatricians and family physicians in three different models of primary care). Clinical and implementation outcomes will be used to inform future research to test this intervention in a larger number, and diverse practices across diverse geographic settings in Ontario.Trial registration: Date of registration: June 27th, 2017; Registry: ClinicalTrials.gov; Registration number: NCT03219697
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.004 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.046 | 0.005 |
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".