Modifiable Risk Factors as Predictors of Global Cognition in Adults: A Pilot Study of Two Rural Communities in Anambra State, Nigeria
Bibliographic record
Abstract
Modifiable risk factors are behaviours and exposures that can raise or lower a person's risk of developing diseases. These risk factors by themselves are modifiable and have been shown to drive midlife chronic diseases. This study investigated the roles of modifiable risk factors (i.e., hypertension, diabetes, stroke, measures of adiposity, and physical activity among others) on global cognition in rural community dwellers from southeast Nigeria. One hundred and fifty participants (95 females and 55 males; age = 58.6; SD age = 4.8) were recruited for the study through a door-to-door approach. Montreal Cognitive Assessment was used to capture global cognition. Self-report measures and standardized instruments were used respectively, to gather information on modifiable risk factors and measures of adiposity. Because this was a pilot study, two rural communities were selected based on proximity and convenience for the research team. Linear analysis of variance and multiple regression statistics were used for data analysis. Result showed significant differences at p< 0.05 level on global cognition between diabetic and non-diabetic groups as well as stroke and non-stroke groups. Physical activity was shown as significant predictor of global cognition while sleep and social relations were not. Equally, arm (Beta = 0.31) and waist (Beta= 0.12) circumferences significantly predicted global cognition and underweight participants performed significantly worse F(3,148) = 2.6) on global cognition.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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".