Bibliographic record
Abstract
BACKGROUND: School meals have demonstrated positive effects on dietary habits of children and adolescents, yet opportunities to increase participation exist. Little is known about how participation differs by race/ethnicity or by acculturation levels, thus this study aims to identify acculturation and race/ethnicity on school meal participation of middle school students. METHODS: A national convenience sample of adolescents (n = 617) was recruited to participate in a survey about acculturation and obesogenic behaviors through a Qualtrics panel. Data were analyzed in SAS version 9.4 where 2 logistic regression models were built to examine associations between school meal participation and other salient variables. RESULTS: More than a quarter (26.2%) of participants indicated they eat school lunch daily and 17.4% eat school breakfast daily. In a multivariable model, race/ethnicity, preference for school meals, taste, convenience, cost, and parent influence were all significantly related to daily school lunch participation. Race/ethnicity, time lived outside of the United States, healthiness of school meals, preference of school meals, taste, and cost were significantly related to daily school breakfast participation. CONCLUSIONS: This study establishes differences in participation rates by race/ethnicities and other factors. Child nutrition professionals should consider students from minoritized populations to understand their lack of participation, particularly because these students likely have poorer diets compared to whites. Additional factors should be considered for increasing participation, including cost, taste, and perceived healthiness.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".