Issues in Recruitment, Retention, and Data Collection in a Longitudinal Nutrition Study of Community-Dwelling Older Adults With Early-Stage Alzheimer's Dementia
Bibliographic record
Abstract
The Nutrition-Memory Study (NMS) followed evolution of nutrition status among elderly community-dwelling individuals with Alzheimer's disease (AD). Participants, age-matched to cognitively intact controls, were recruited from three university hospital memory clinics. Incentives encouraged retention; flexible procedures and caregiver collaboration permitted collection of nutrition information from AD patients. Of 71 patients referred by the clinics, 55 (77.5%) were eligible, 42 (76.4% of eligible) were recruited with their caregivers, and 40 (72.7%) completed the baseline. Thirty-two patient—caregiver dyads completed the first three interviews (58.1% of eligible; 80% of recruited); 26 of the 32 dyads (81.3% of recruited) completed four of the five interviews, and 14 (43.8% of recruited) were seen at all five study visits. Ensuring successful recruitment and retention in this clientele requires strong links between the research team and target community, ensuring relevance of the study to participants, and being mindful of the burden levied on patient—caregiver dyads.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".