Family Caregivers’ Role in Navigating Diet: Perspectives from Caregivers of Older Asian Americans
Bibliographic record
Abstract
Family caregivers uphold significant healthcare responsibilities including language translation and diet management. This study sought to understand family caregivers’ experiences and challenges navigating and managing their older Asian American relative’s diet. We conducted an exploratory sequential mixed-methods study with family caregivers involving (1) qualitative interviews ( n = 40) and (2) a nationwide survey ( n = 100). Interviewees discussed their role and challenges with (a) applying American/Western clinical dietary recommendations to their relative’s traditional meal preferences and (b) managing misalignment between their relative’s traditional dietary preferences and the food offered in hospitals and long-term care environments. Survey responses triangulated; almost 65% of family caregivers prepared and brought traditional meals to healthcare facilities upon observing a lack of culturally relevant food options. Culturally relevant nutrition training for family caregivers can help them support their relative in community settings. Creating an inclusive healthcare system requires transforming the food environment within healthcare facilities.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".