Group-Based Naturopathic Education for Primary Prevention of Noncommunicable Disease in Families and Children: A Feasibility Study
Bibliographic record
Abstract
Objectives: Naturopathic medicine has demonstrated efficacy at reducing risk factors for chronic disease. Targeting health behaviors of parents and caregivers in a group-based setting may improve the behaviors of children in their care. This study sought to assess the feasibility of such a program. Design: Participants of a six-session health education series were invited to respond to surveys and participate in a focus group about their health behaviors and their experience in the program. Subjects: Caregivers of children aged 0–6 attending publicly funded community centers in Ontario, Canada. Interventions: A 6-week group-based naturopathic education program to promote healthy lifestyle behaviors among caregivers. Outcome measures: Satisfaction with content and delivery, and frequency of healthy behaviors. Results: The majority of responses indicated satisfaction with the program, and an ongoing benefit 6 weeks and more after completion. There was a clear correlation between healthy behaviors of parents and children. Conclusions: A group-based naturopathic education program may be a feasible method of delivering primary-prevention education to caregivers, particularly in the domains of practicality and acceptability.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".