Resemblance of Dinner Meal Consumption among Mother and Preschool-Aged Child Dyads from Families with Limited Incomes
Bibliographic record
Abstract
Parents’ eating habits are associated with food and nutrient intake of their children; yet, the associations have not always been very strong. The objective of this study was to expand the current literature to include an examination of resemblance in intakes of foods, within the context of a meal, among mother and preschool-aged child dyads from families of limited incomes. Mother-child dyads (n=112; 41% Hispanic and 59% African-American) participated in the study. During the two home observations of each mother-child dyad, a digital photography method plus actual weighing of plate waste was used to assess the amount of food served and consumed by the mothers and children. There were significant correlations between the mother-child dyad intakes of food/beverages consumed at the dinner meal; ranging from 0.298 (total beverages, p<0.01) to 0.687 (100% fruit juice or milk, p<0.01). There was a significant linear association between the amount of total food/beverages served and the amount consumed for both the mothers (R2=0.72, p<0.0001) and the children (R2=0.55, p<0.0001). Mothers-children who were served larger amounts of total food/beverages consumed more. There was a positive association (p<0.05) between the amount of total energy consumed in the mother-child dyads. Portion sizes may be an important strategy that can be used by parents to promote intake of fruits and vegetables and to decrease intake of energy-dense foods. It is important that food and nutrition professionals provide the guidance needed that encourages intake of major food groups in mothers so they can model healthier food consumption behaviors for their children.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".