37 Bilingualism does not modify the association between stroke and cognitive performance in Mexican American older adults
Bibliographic record
Abstract
Objective: The Latinx population is rapidly aging and growing in the US and is at increased risk for stroke and dementia. We examined whether bilingualism confers cognitive resilience following stroke in a community-based sample of Mexican American (MA) older adults. Participants and Methods: Participants included predominantly urban, non-immigrant MAs aged 65+ from the Brain Attack Surveillance in Corpus Christi- Cognitive study. Participants were recruited using a two-stage area probability sample with door-to-door recruitment until the onset of the COVID-19 pandemic; sampling and recruitment were then completed via telephone. Cognition was assessed with the Montreal Cognitive Assessment (MoCA; 30-item in-person, 22-item via telephone) in English or Spanish. Bilingualism was assessed via a questionnaire and degree of bilingualism was calculated (range 0%-100% bilingual). Stroke history was collected via self-report. We harmonized the 22-item to the 30-item MoCA using published equipercentile equating. We conducted a series of regressions with the harmonized MoCA score as the dependent variable, stroke history and degree of bilingualism as independent variables, and age, sex/gender, education, assessment language, assessment mode (in-person vs. phone), and self-reported vascular risk factors (hypertension, diabetes, heart disease) as covariates. We included a stroke history by bilingualism interaction to examine whether bilingualism modifies the association between stroke history and MoCA performance. Results: Participants included 841 MA older adults (59% women; age M(SE) = 73.5(0.2); 44% less than high school education). Most (77%) of the sample completed the MoCA in English. 93 of 841 participants reported a history of stroke. In an unadjusted model, degree of bilingualism (b = 3.41, p < .0001) and stroke history (b = -1.98, p = .003) were associated with MoCA performance. In a fully adjusted model, stroke history (b = -1.79, p = .0007) but not bilingualism (b = 0.78, p = .21) was associated with MoCA performance. When an interaction term was added to the fully adjusted model, the interaction between stroke history and bilingualism was not significant (b= -0.47, p = .78). Conclusions: Degree of bilingualism does not modify the association between stroke history and MoCA performance in Mexican American older adults. These results should be replicated in samples of validated strokes, more comprehensive bilingualism and cognitive assessments, and in other bilingual populations.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".