Father-Focused Program Improves Healthy Dietary Behaviors in Mexican-Heritage Fathers Long-Term
Bibliographic record
Abstract
OBJECTIVE: To assess long-term changes in fathers' dietary intake and behaviors following a nutrition and physical activity program. METHODS: Mexican-heritage fathers participated in a 6-week father-focused, family-centered program implemented in a border community. Promotoras used surveys to assess dietary intake of fruits and vegetables and healthy dietary behaviors at baseline (n = 42), program completion (n = 42), short-term (3-4 months postprogram, n = 24), and long-term (2.0-2.5 years postprogram, n = 36). Linear growth models tested changes in program outcomes. RESULTS: Fathers' dietary intake of fruits and vegetables and healthy dietary behavior scores significantly increased across time (P < 0.05). Education level had a moderating effect on growth in vegetable intake over time (β = -0.12; P = 0.002). CONCLUSIONS AND IMPLICATIONS: A father-focused, family-centered approach may be one way to achieve lasting healthy dietary behavior changes in Latino fathers. Future researchers may consider alternative family structures (e.g., grandparent, single-parent) in program participation.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".