SNAP-Ed Policy, Systems, and Environmental Interventions and Caregivers’ Dietary Behaviors
Bibliographic record
Abstract
OBJECTIVE: To examine dietary behaviors and diet quality among caregivers of children regarding the number of policy, systems, and environmental (PSE) change interventions implemented in their neighborhoods. METHODS: Households with incomes ≤185% of the federal poverty level were randomly sampled throughout California. A validated 24-h dietary recall assessment tool was administered by telephone. The independent variable was the number of Supplemental Nutrition Assistance Program Education PSE change interventions per census tract where the caregivers lived. RESULTS: Most (69.1%) of the 2,222 caregivers were Latino. Policy, systems, and environmental reach predicted decreased intake of sugar-sweetened beverages (P = 0.022, Cohen d = -0.12) and added sugar (P = 0.014, Cohen d = -0.18), and increased Healthy Eating Index-2015 scores (P = 0.046, Cohen d = 0.18), regardless of race and/or ethnicity, age, or reach of Supplemental Nutrition Assistance Program Education direct education. CONCLUSIONS AND IMPLICATIONS: Replication of these methods and findings, and comparisons of dietary outcomes in association with PSE change interventions with and without direct education activities aimed at the same population under study, are encouraged.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".