Does health literacy affect fruit and vegetable consumption? An assessment of the relationship between health literacy and dietary practices among college students
Bibliographic record
Abstract
Objective: To explore the association between health literacy and fruit and vegetable (F&V) consumption among college students. Participants: In 2018, undergraduate students from a large, southeastern university were recruited to participate in this study. Methods: Participants (n = 436) completed an online survey assessing health literacy, F&V intake, and personal, situational, and societal and environmental determinants of health literacy. Results: There was a significant association between general health literacy, F(2, 161.54) = 6.52, p < .001; disease prevention health literacy, F(2, 214.22) = 4.788, p < .01; and health promotion health literacy, F(2, 138.35) = 5.53, p < .01 with F&V consumption. Students with excellent health literacy consumed significantly more fruits and vegetables than students with limited health literacy. Conclusions: Health literacy may play an important role in F&V consumption among college students. Future research should explore the relationship between the health literacy and dietary practice decision-making to inform intervention development among college students.
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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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".