Bibliographic record
Abstract
As the worlds population grows older, cognitive disorders are becoming more common. It is estimated that to date more than 20 million people worldwide have dementia, and the total prevalence of dementia is predicted to quadruple by 2040 due to demographic changes as well as increasing longevity. Currently, there is no cure for cognitive decline or dementia; therefore, finding lifestyle interventions which decrease the risk of cognitive decline or preserve cognitive function are of the utmost importance. This thesis comprises four manuscripts that explore the inter-relationships between physical activity, various lifestyle factors and cognitive function at different points across the lifespan.Studies one and two used data from the 2012 annual component of the Canadian Community Health Survey and studies three and four used data from the Midlife in the US (MIDUS) survey. The first study assessed the associations between physical activity, sedentary time, obesity (body mass index), and cognitive function in younger and older Canadian adults. The second study explored the relationships between physical activity, daily fruit and vegetable consumption, obesity (body mass index), and cognitive function in younger and older Canadian adults. The third study evaluated the inter-relationships between physical activity, number of medications used (type II diabetes, high blood pressure, high cholesterol), obesity (waist-to-hip ratio) and cognitive function in adults between the ages of 25 to 84 years. The fourth study considered the relationships between physical activity, engagement in cognitively stimulating activities, obesity (waist-to-hip ratio) and cognitive function in adults between the ages of 25 to 84 years. Collectively, the findings of these studies contribute to a better understanding of the relationships that exist between lifestyle variables and cognitive function across the adult lifespan.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".