Associations between Saturated Fat from Single Dairy Foods and Body Composition in Young Canadian Children
Bibliographic record
Abstract
Purpose: To examine the associations between dairy-derived saturated fat from fluid cow’s milk, cheese, and yogurt, and body composition [body mass index z-scores (BMIz), fat mass index (FMI), and waist-to-height ratio (WHtR)] in children aged 1.5–5 years. Methods: This cross-sectional study used baseline data from 267 children (3.5 ± 1.2 years) from the Guelph Family Health Study. Dairy-derived saturated fat intake (g/1000 kcal) was assessed via one 24-hour dietary recall completed by parents using the web-based Automated Self-Administered 24-Hour Dietary Assessment Tool 2016 – Canadian version. Linear regression using generalized estimating equations explored associations between dairy-derived saturated fat intake and BMIz and FMI, adjusted for physical activity, household income, parent education, and child ethnicity; WHtR was additionally adjusted for age and sex. Results: Total dairy- and milk-derived saturated fat were not associated with any body composition outcomes. Cheese-derived saturated fat intake was positively, but marginally associated with BMIz (B̂ = 0.03, 95% CI: 0.01 to 0.06, p = 0.013), while yogurt-derived saturated fat was inversely associated with FMI (B̂ = −0.19, 95% CI: −0.34 to −0.04, p = 0.015). Conclusions: These cross-sectional findings may inform dietary guidelines to recognize the neutral or potentially beneficial effects of saturated fat from dairy products on body composition in young children. Longitudinal studies are 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".