The Impact of Physical Activity on Cognitive Function in Alzheimer's Disease Diagnosed with Plasma <i>p</i> ‐tau 217 in Thailand, a middle income country: A Cross‐Sectional Study
Bibliographic record
Abstract
BACKGROUND: Physical activity is recognized as a non-pharmacological approach to mitigating cognitive decline in Alzheimer's disease (AD). Prior meta-analyses indicate that achieving at least 330 MET-min/wk of physical activity correlates with cognitive benefits (Dou et al., 2024). However, the relationship between physical activity levels and cognitive performance in AD patients diagnosed via plasma p-tau 217 in developing countries is not well documented. This study examines how different physical activity levels, including the 330 MET-min/wk threshold, impact cognitive performance in this population. METHOD: We extracted cross-sectional data from the ongoing INDE cohort (NCT06375213) at our hospital, including 62 participants diagnosed with AD based on plasma p-tau 217 levels, ranging from cognitively unimpaired to dementia. Physical activity was measured using questionnaires, capturing total MET-min/wk and classified according to IPAQ, AHA recommendations, and a 330 MET-min/wk threshold. Cognitive performance was assessed with the Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE), MoCA Memory Index Score (MoCA-MIS), and tests of visual reproduction, logical memory, and visual paired associates. We analyzed the associations between physical activity levels and cognitive outcomes using group comparisons, Spearman correlation, and multivariate regression models, adjusting for age, sex, education, comorbidities, and p-tau 217 levels. RESULT: Participants who achieved at least 330 MET-min/week and those classified as having moderate to high physical activity levels on the IPAQ demonstrated significantly better cognitive performance. However, no significant differences were observed based on AHA classification. Total physical activity was positively correlated with MMSE, MoCA, and MoCA-MIS scores. Multivariate regression analysis showed that total physical activity remained a significant predictor of MMSE (β = 0.0021, p = 0.017), MoCA (β = 0.0029, p = 0.005), and MoCA-MIS (β = 0.0015, p = 0.037) scores, even after adjusting for p-tau 217 levels, age, education, and comorbidities. CONCLUSION: Physical activity levels exceeding 330 MET-min/wk are associated with improved cognitive performance in AD patients diagnosed via plasma p-tau 217. Total physical activity positively impacted global cognitive performance, even after adjusting for confounding factors, including p-tau 217 levels. Physical activities should be promoted as a modifiable intervention in clinical practice and public policy to mitigate the cognitive decline.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".