Examining subjective cognitive decline in a Canadian multi‐ethnic cohort of older adults
Bibliographic record
Abstract
BACKGROUND: Subjective cognitive decline (SCD) may represent one of the earliest symptoms of Alzheimer's disease. However, SCD remains understudied in diverse ethnoracial groups, particularly among individuals of Asian descent. Leveraging data from a cohort study of Canadian South Asian, Chinese, and White older adults, this study investigated ethnic differences in: (1) SCD burden, (2) the association between self- and study partner-reported SCD, and (3) the demographic and neuropsychiatric factors associated with SCD. METHODS: Participants were South Asian, Chinese, and White adults aged 55-85 enrolled in the observational cohort study, Canadian Multi-Ethnic Research on Aging (CAMERA). Participants were classified as cognitively unimpaired based on a Clinical Dementia Rating global score of 0. SCD was assessed using the self- and study partner-reported Cognitive Functioning Index (CFI). Depression and anxiety symptoms were measured using the Geriatric Depression Scale and Generalized Anxiety Disorder-7 Scale, respectively. Linear regression models were used to examine associations of interest, adjusting for age, sex, years of education, as well as depression and anxiety symptoms. RESULTS: We included 140 participants (mean age=65.8±6.4, 69.3% female) who self-identified as South Asian (n = 38), Chinese (n = 52) or White (n = 50). Self-reported CFI scores were significantly higher in South Asian (β=0.9, p = 0.02) and Chinese participants (β=1.4, p < 0.001) compared to White participants, and did not significantly differ between South Asian and Chinese participants (β=0.5, p = 0.2). Self- and study partner-reported CFI scores were significantly associated across the whole sample (β=0.3, p = 0.01), with no moderation by ethnicity (p>0.05). However, the associations between symptoms of depression and anxiety with self-reported CFI scores were stronger in South Asian and Chinese participants compared to White participants (p < 0.05). The associations between depression and anxiety with CFI did not significantly differ between South Asian and Chinese participants (p>0.05). CONCLUSIONS: In a sample of cognitively unimpaired older adults, self- and study partner-reported SCD were associated, and the strength of the association did not differ across ethnic groups. However, among South Asian and Chinese participants, SCD burden was greater and more strongly associated with depression and anxiety symptoms. These findings underscore the importance of considering ethnoracial differences and neuropsychiatric symptoms when assessing SCD in diverse 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".