Parental overweight is associated with less encouragement of child dietary balance and variety and involvement in meal planning and preparation
Bibliographic record
Abstract
Little is known about how the body composition of parents of preschool-aged children is associated with their food parenting practices. In this study, we examined associations between parental body composition and food parenting practices in a sample of Canadian families with preschool-aged children. We conducted a cross-sectional analysis of 68 parents and 52 preschool-aged children. Measures included height, weight, waist circumference (WC), and percentage of fat mass (%FM) measured by BOD POD™. Parents completed an adapted version of the Comprehensive Feeding Practices Questionnaire. To account for correlated observations within families, we used generalized estimating equations with linear regression modelling to examine associations between parent body composition and food parenting practices, with child body mass index (BMI) z-score, child sex, parental sex, and family household income entered as covariates in all models. Parent BMI, WC, and %FM were each significantly and inversely associated with the encouragement of a balanced diet ([Formula: see text] = −0.021, p = 0.006; [Formula: see text] = −0.007, p = 0.038; [Formula: see text] = −0.010, p = 0.034, respectively) and child involvement in meal planning and preparation ([Formula: see text] = −0.082, p = 0.002; [Formula: see text] = −0.025, p = 0.032; [Formula: see text] = −0.038, p = 0.049, respectively). We provide preliminary evidence that overweight/obesity may be associated with select food parenting practices in Canadian families with preschool-age children. Parental body composition may be an important consideration in intervention strategies that target food parenting practices.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".