Nutrition Knowledge Among Students in an Historically Black College and University (HBCU) Is Inadequate and Associated With Residence
Bibliographic record
Abstract
OBJECTIVE: This study examined the nutrition knowledge and dietary habits of students at an Historically Black College and University. METHODS: A cross-sectional survey with 297 participants was conducted online using Qualtrics. An adapted questionnaire was used to obtain general nutrition knowledge. Descriptive analyses and binary logistic regression were conducted. RESULTS: The average nutrition knowledge score was 55.0% ± 46.9%, indicating inadequacy, and was significantly associated with dietary habits (P = 0.017). Nutrition knowledge was significantly associated with age, ethnicity, marital status, work status, and residence (P < 0.05). Consumer and dietary habits scored 3.1 ± 1.6 out of 5, with the lowest score for choosing fat-free or low-fat milk. Residence significantly predicted nutrition knowledge; students living with family exhibited higher odds (odds ratio, 7.21; 95% confidence interval, 2.13-24.39) of adequate knowledge compared with those in the campus residence hall. CONCLUSION AND IMPLICATIONS: These findings can guide nutrition interventions for college students, with future research needed to explore how residence impacts nutrition knowledge and habits.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".