Impact of a Pilot Intervention to Improve Nutrition Knowledge and Cooking Confidence Among Low-Income Individuals
Bibliographic record
Abstract
Poor dietary behaviors, limited food preparation skills, and low levels of self-efficacy toward preparing healthy meals have been indicated in low-income and food insecure populations. The purpose of this pilot intervention was to determine the effectiveness of a community cooking demonstration at increasing participants’ general nutrition knowledge and confidence to prepare healthy meals with limited resources. Data was analyzed from a convenience sample of 23 low-income adults associated with Head Start (n=8) or a local soup kitchen (n=15) in the Midwestern United States. Participants attended a one-hour presentation comprised of a cooking demonstration, taste testing, and basic education on the MyPlate food guide and food safety. Subjects completed a pre- and post-assessment to measure changes in cooking confidence and general food and nutrition knowledge. Results indicated that, although there were no significant improvements in participants’ confidence to prepare healthy meals (39.3±11.3 vs. 44.5±9.1; t=1.76, p=0.25), subjects experienced significant gains in knowledge related to the MyPlate food guide (1.2±0.5 vs. 1.8±0.8; t=2.82, p=0.01) and basic food safety (0.7±0.9 vs. 2.5±1.0; t=6.05, p<0.01). Further research is necessary to identify effective strategies for parlaying increased nutrition knowledge into improved self-efficacy and behavior change.
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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 | 0.008 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".