Promoting food intake in older adults living in the community: a review
Bibliographic record
Abstract
Older adults (>65 y) living in the community have the potential to have significant nutrition concerns and deficits owing to the physiological, social, and psychological changes that occur with ageing. However, poor nutrition should not be considered an inevitable consequence of ageing. Older adults are quite heterogenous, including those ageing "successfully", "usually", and at "accelerated" rates. By improving the nutritional status of older adults, significant health and quality of life gains can be realized. These three subgroups of older adults have different concerns and risk factors and thus need different interventions. A substantial amount of research on older adult nutrition needs, determinants of food intake, risk of poor nutrition, and interventions has occurred in the past decade in Canada. The purpose of this review is to summarize this research and identify how nutrition promotion for older adults can be improved. Research to date indicates that the need for nutrition promotion is substantial. A variety of interventions have improved food intake and health of participants, although most programs are provided at a tertiary prevention level. Nutrition screening can help to identify in a timely manner those older adults who may benefit from limited services and which secondary prevention activities need to be increased. Nutrition promotion policy is currently lacking for older adults in Canada and is an important barrier to improving food intake in this growing segment of the population.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".