Mealtime Experiences of Families With Dementia
Bibliographic record
Abstract
Twenty-three family caregivers participated in interviews to provide their perspectives on mealtimes when caring for someone with dementia (probable Alzheimer's disease, n = 14; senile dementia, n = 2; mixed dementia, n = 2; frontal temporal lobe dementia, n = 3; and Parkinson-related dementia, n = 1). Qualitative analyses described eating conduct changes and strategies to make mealtimes manageable. They also identified that mealtimes provided a social connection for families, although simplification of meals was required. Additionally, pleasure from food consumed was important, although tension existed around providing nutritious meals. Sometimes, caregivers compromised or "gave in"; at other times they needed to "step in" to promote a successful meal. The many changes noted around meals signaled the changing status of their family member. This study provides important insight into the challenges and benefits of mealtimes for those living with dementia in the community.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".