Nutritional Status and Eating Habits of Older Manitobans: After Relocating to a Personal Care Home
Bibliographic record
Abstract
We explored the effect of relocating to a personal care home (PCH) on older adults' nutritional status and eating habits. Fourteen Caucasian older adults (F=57%) with a mean age of 83 years (standard deviation = 9.79) consented to participate. Anthropometric information (height, weight, bioelectrical impedance analysis), biochemical and clinical information (diagnoses, data from scales measuring risk or function), and dietary information (three-day plate waste analysis) were collected at time points A (two to three months after relocation) and B (six to seven months after relocation) through face-to-face interviews and medical chart reviews, and from nursing staff. At time B, cognitive function declined (z = -2.185, p<0.05) and the number of medications prescribed increased (z = -2.00, p<0.05). Levels of 25-hydroxyvitamin D were insufficient among 83% of participants at both time points. Mean serum albumin was 34.4 ± 7.2 g/L at time B, and the prevalence of potential nutritional risk increased from 57% to 77%. Dietary intake was inadequate at both time points. Nutritional risk became more prevalent at time B. Protein-energy malnutrition and other nutritional inadequacies may result if dietary intakes do not improve. Strategies to improve dietary intakes should be implemented within PCHs to reduce potential malnutrition.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".