Relationships Between Movement Behaviours And Dementia
Bibliographic record
Abstract
The primary objectives of this dissertation were three-fold: i) to evaluate the association of movement behaviors on incident dementia through a systematic review and meta-analysis; ii) to examine the association of movement behaviors on 3-year changes in memory among middle-aged and older adults, stratified by sex; and iii) to investigate the sex-specific association between movement behaviors on cognitive function changes over three years, including the mediation effects of cardiovascular disease on cognitive function. Data from population-based cohort studies, including the Canadian Longitudinal Study of Aging (CLSA), were utilized. A systematic review and meta-analysis (SRMA), as well as general linear regression, and mediation analyses, were employed. In SRMA Study 1, regular physical activity was associated with a 28% reduction in the risk of incident dementia, while both short (<7 hours) and long (>8 hours) sleep durations were associated with an increased dementia risk (RR = 1.23 and 1.32, respectively). In CLSA Studies 2 and 3, 6-8 hours of sleep was associated with positive changes (z-scores) in immediate and delayed recall among males. Among females, the interaction of higher physical activity levels (≥10 MET-hours weekly) with 8+ hours of sleep and high sedentary time led to an increase in delayed recall. Increasing sedentary time was associated with positive changes in cognitive function in males, while excessive sleep duration was associated with a negative change in cognition. Sitting time was found to mediate the relationship between cardiometabolic components and cognitive changes over three years among males (negatively: systolic blood pressure, high-density lipoprotein, carotid intima-media thickness, glycosylated haemoglobin, and positively: waist circumference, diastolic blood pressure, and triglycerides) but not females. The relationship between sitting time and 3-year change in global cognition was further mediated through waist circumference and high-density lipoprotein among both females and males, while glycosylated hemoglobin mediated the sitting time and cognition relationship among males but not females. This dissertation highlights the importance of optimizing movement behaviors for cognitive health among older adults, emphasizing the opportunity for targeted interventions to reduce dementia risk and enhance overall cognitive functioning.
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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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.009 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".