Physical activity mediates the relationship between fruit and vegetable consumption and cognitive functioning: a cross-sectional analysis
Bibliographic record
Abstract
Background: Excess adiposity is associated with impairments in cognitive functioning, whereas physical activity (PA) and fruit and vegetable consumption (FVC) may be protective against cognitive decline. Therefore, this study investigated the interrelationships between FVC, body mass index (BMI), PA and cognitive functioning in younger and older adults. Methods: Cross-sectional data of 45 522 participants (≥30 years) were examined from the 2012 annual component of the Canadian Community Health Survey. Cognitive function was assessed using a single six-level question of the Health Utilities Index. PA was classified according to the Physical Activity Index kilocalories per kilogram per day as active, moderately active and inactive; BMI was measured in kg/m2 and FVC (servings/day) was classified as low, moderate or high. To assess the interrelationship between FVC, BMI, PA, age and cognitive functioning, general linear models and mediation analyses were used. Results: Higher BMIs, lower PA and FVC were associated with poorer cognitive functioning. Additionally, PA statistically mediated the relationship between FVC and cognitive function (Sobel test: t = -3.15; P < 0.002); and higher education levels and daily FVC were associated with better cognitive function (P < 0.001). Conclusion: Higher PA levels were associated with better cognitive functioning in younger and older adults. Also, higher daily FVC and education levels were associated with better cognitive scores.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".