PREVALENCE OF LIFESTYLE-BASED MODIFIABLE DEMENTIA RISK FACTORS AMONG CANADIAN ADULTS AGES 50+
Bibliographic record
Abstract
Abstract Modifiable lifestyle behaviours are key determinants of cognitive health and dementia risk. The prevalence of lifestyle-based dementia risk factors is currently unknown among the Canadian adult population. The purpose of this study was to establish age- and sex-adjusted prevalence of risk in five domains using validated scales: 1) physical activity (CHAMPS); 2) brain-healthy eating (Eating Pattern Self-Assessment); 3) cognitive engagement (Florida Cognitive Activities Scale); 4) social connections (UCLA Loneliness Scale); and 5) mental well-being including depression, anxiety, distress, and perceived stress (DASS-21 and PSS-10). Males ages 70-79 (n=120) and females ages 60-69 (n=145), 70-79 (n=217), and 80+ (n=115) completed each scale online. Depending on the age decade x sex group, the percentage of individuals who exhibited mild depression, anxiety, distress, and perceived stress were 20.0-28.7%, 14.7-22.6%, 13.0-20.0%, and 43.3-54.7%, respectively. 33.1-54.5% did not meet the physical activity recommendations of 150 minutes/week of moderate to vigorous exercise. No participants met the brain-healthy eating recommendations. High-risk cut-off scores (below the 10th percentile) ranged from 8.0-11.6 for cognitive engagement and 23.4-24.4 for social engagement. The number of domains upon which individuals were at high risk ranged from 1 to 5 (median = 4). Data are currently being collected for females ages 50-59 and males ages 50-69 and 80+. This study is part of the first-of-its-kind research-based community centre at Baycrest delivering personalized dementia risk reduction programming. These data will be used to identify domains in which participants are at-risk in order to guide personalized dementia risk reduction program strategy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".