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Record W7116939842 · doi:10.1002/alz70860_106670

Acculturation, Education, and Cognition in Older Asian Americans and Canadians: results from the Asian Cohort for Alzheimer's Disease study

2025· article· en· W7116939842 on OpenAlexaffabout
Yian Gu, Dolly Reyes‐Dumeyer, Martin Ho, Wai Haung Yu, Jennifer Yokoyama, Badri N. Vardarajan, Gyungah R Jun, Donghe Li, Guerry M. Peavy, Boon Lead Tee, H. Lee, T.W. Chow, Victor W. Henderson, Van Ta Park, R. Mayeux, Li‐San Wang, The Asian Cohort for Alzheimer's Disease (ACAD)

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAcculturationImmigrationCognitionDiseaseCohort studyCohortCognitive aging

Abstract

fetched live from OpenAlex

BACKGROUND: Acculturation-adapting to a new culture-plays a significant role in shaping health outcomes among immigrants, including older Asian Americans and Canadians (ASACs). Education, a well-established protective factor for cognition, may interact with acculturation to influence cognitive health. This study examines the relationship between acculturation and cognition among ASACs and explores how acculturation interacts with education. METHOD: This cross-sectional study included 622 dementia-free ASAC participants from the Asian Cohort for Alzheimer's Disease (ACAD). An acculturation score (ranging 1-7, with higher score indicating more acculturation) was constructed based on the sum of nativity level (place of birth and years in the U.S. or Canada, ranging 1-4) and English proficiency (ranging 1-3), self-reported in English, Chinese, Korean, and Vietnamese. Participants were categorized into three acculturation groups: separation (score 1-3, preference for Asian culture), integration (4-5, balanced preference), and assimilation (6-7, well adoption of new culture). Cognition was assessed using the Cognitive Abilities Screening Instrument (CASI) and Common Objects Memory Test (COMT). Multivariable linear regressions were used to examine the associations between acculturation and cognition, adjusted for age, gender, education, and study site. The interaction between acculturation and education on cognition was also evaluated. RESULT: Participants were 71.7 years (SD=7.1) old, 68.3% were women, and most were first-generation immigrants (97%) raised in Asia (94%). About 34%, 41% and 25% were in the separation, integration, and assimilation groups, respectively. Each one-unit increase in acculturation was associated with a 0.39-point higher CASI score (SE=0.20, p = 0.042), but no association was observed with COMT. A significant negative interaction (p <0.001 for CASI, p <0.01 for COMT) was found between education and acculturation: the positive association of education with cognition was weaker in the assimilation and integration groups compared to the separation group. CONCLUSION: Higher levels of acculturation may compensate for the impact of low education on cognition in older ASACs. The findings suggest considering both education and acculturation in understanding cognitive health among aging immigrant populations. Future research incorporating socioeconomics and other contextual factors is needed to better understand the relationship among acculturation, education, and cognitive health.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.329
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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