Plant-based Dietary Index Scores are Not Associated with Body Composition in Young Children
Bibliographic record
Abstract
Purpose: Plant-based diets have become increasingly popular and, in adults, have been inversely associated with body fat outcomes. We examined associations between overall, healthful, and less-healthful plant-based dietary index (PDI) scores and BMI z-score, waist circumference, waist-to-height ratio, % fat mass (%FM), and fat mass index in young children, aged 1.5–6 years. Methods: Baseline data from the Guelph Family Health Study (287 children and 211 families) were used in this cross-sectional study. PDI scores were calculated from a single dietary recall using the Automated Self-Administered 24-hour Dietary Assessment Tool – Canada. Body composition outcomes were measured by trained research staff, with FM assessed using bioelectrical impedance analysis. Associations between PDI scores and body composition outcomes were estimated using generalized estimating equations applied to linear regression models. Covariates included energy intake, physical activity, age, sex, ethnicity, household income, and gestational age. Results: After adjusting for covariates, there were no significant associations between overall, healthful, and less-healthful PDI scores and body composition outcomes. Conclusions: Proportions of plant- and animal-based food consumption were not cross-sectionally related to body composition in this sample of young children. Further research on longitudinal associations between PDI scores and health outcomes in young children is warranted.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".