<i>Barriers to Healthful Eating and Supplement Use</i> In Lower-income Adults
Bibliographic record
Abstract
PURPOSE: We investigated barriers to healthful eating and vitamin/mineral supplement use among groups at risk for low nutrient intakes, particularly those with low income. METHODS: Twelve focus groups (73 participants) and 11 key informant interviews were conducted in Saskatoon, Saskatchewan. Focus group participants represented a diverse population. Key informants included health professionals and personnel from community-based organizations who worked in a low-income area. Focus group meetings and key informant interviews were audiotaped and transcribed; thematic coding was used to identify key concepts. RESULTS: The focus groups and interviews revealed five themes on barriers to healthful eating and to the use of vitamin/mineral supplements: knowledge, income, accessibility, health, and preferences. Key informants were aware of the barriers, and were able to see not only individual and family reasons but also societal influences. CONCLUSIONS: The study results provide valuable information for focusing efforts on reducing barriers to healthful eating and to appropriate vitamin/mineral supplement use.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".