Alcohol, Aging, and Cognitive Performance in a Cohort of Japanese Americans Aged 65 and Older: The Kame Project
Bibliographic record
Abstract
OBJECTIVE: To investigate the effects of light to moderate alcohol consumption on cognitive performance. DESIGN AND SETTING: A cross-sectional analysis including older Japanese Americans in King County, WA, enrolled in the Kame Project, a population-based study of cognition, dementia, and aging. PARTICIPANTS: 1,836 cognitively intact participants aged 65 and older who participated in the baseline (1992-1994) examination. MEASUREMENT: Cognitive performance was measured using the Cognitive Abilities Screening Instrument, reaction time (simple and choice), and a measure of vocabulary (North American Adult Reading Test). RESULTS: Multivariate analyses were used to examine the relationship between cognitive performance and alcohol consumption at baseline with men and women together and then separately controlling for age, education, smoking, history of stroke, angina, hypertension, diabetes, and coronary heart disease. Findings showed lower cognitive test scores were observed for men who were either abstainers or in the heavy drinking group. For women, a linear relationship between alcohol consumption and cognitive performance was seen on two of the four measures of cognitive functioning. No significant difference in the association of drinking and cognitive function was identified within the different Japanese American subgroups. CONCLUSION: RESULTS suggest a possible positive relationship between light to moderate drinking and cognitive performance in an aging Japanese American population. Additional long-term prospective and cross-cultural studies are needed to determine the generalizability of these findings to other aging cohorts.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".