Perceptions of and Knowledge Acquisition about Brain Health and Aging among Latin American Immigrants:A QualitativePaper
Bibliographic record
Abstract
OBJECTIVES: Older immigrants of Latin American descent are disproportionately impacted by dementia, yet little is known about their dementia- and brain health-related knowledge. We explored perspectives on brain health and aging in this population to inform the development of culturally-relevant interventions. METHODS: Individual, semi-structured interviews were conducted with 30 Spanish-speaking immigrants over 60. Questions addressed knowledge about the brain, perceptions of healthy and unhealthy aging, ideas of how to take care of one's brain, and where knowledge was acquired. Responses were analyzed using thematic analysis. RESULTS: The following themes emerged: (1) Descriptions of the brain varied, from anatomy, cognition, and psychology to disease. (2) Perceptions of healthy aging included independence, memory, emotions, and orientation. (3) Ideas of how to care for the brain included physical, social, and cognitive engagement. (4) Knowledge was acquired in childhood, communities, healthcare settings, careers, and media. CONCLUSIONS: Results showed significant variability in knowledge. Findings may be leveraged to improve interventions that address brain health literacy disparities among older Latin American immigrants. CLINICAL IMPLICATIONS: Takeaways involve increasing education about the structure and functions of the brain, promoting realistic understandings of what nonnormative brain aging entails, and increasing knowledge of empirically-supported maintenance approaches. Dissemination may be increased via healthcare providers, community centers, churches, and media.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".