Food group consumption and self-rated diets of elderly community-dwelling canadian men. The manitoba followup study.
Bibliographic record
Abstract
BACKGROUND: Healthy eating perceptions and food group consumption practices of elderly men are largely unexplored. Understanding eating practices of elderly men and how this relates to their quality of life is important for the implementation of practical health promotion strategies. OBJECTIVE: Examine the frequency of food items consumed (daily, most days, or rarely), and the association of self-rated diet and food group consumption of elderly community-dwelling Canadian men. DESIGN: Self-reported nutrition data, obtained via mailed questionnaires in spring 2000, from 1,211 Canadian male respondents (mean age 82 years) participating in the Manitoba Follow-up Study were analyzed. RESULTS: Respondents consumed vegetables/fruit (64%) and grain products (58%) daily, and meat/alternatives (81%) most days. Milk products were equally consumed daily (47%) or most days (47%). Using multiple logistic regression models, controlling for demographic variables, a positive relationship was found between the increasing consumption of vegetables/fruit and grain products and healthier self-rated diets. Daily consumption of vegetables/fruit or grain products significantly predicted healthier self-rated diets compared to men consuming those food categories most days, OR=2.42 (95%CI=1.88, 3.11) and OR=2.18 (95%CI=1.70, 2.79), respectively. Those consuming meat/alternatives or milk products "daily" or "rarely" rated their diets as healthier than those consuming these items "most days". CONCLUSION: Daily consumption of fruits, vegetables, and grain products is viewed as important for overall health and is positively associated with healthier self-rated diets among elderly Canadian men.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".