[Relationship between physical activity and cognition function among people aged 55 and above in 4 provinces of China].
Bibliographic record
Abstract
OBJECTIVE: To analyze the relationship between different intensity of physical activity(PA) duration and cognitive function. METHODS: The 2018 Community-based Cohort Study on Nervous System Diseases used multi-stage stratified cluster randomization sampling method to select study participants. A total of 5571 participants aged 55 years and above from four provinces in China with complete information on demographic characteristics and PA and cognitive function were included in the final analysis. Basic information and PA data were collected by questionnaire. The Montreal cognitive assessment(MoCA) score method was adopted to evaluate the cognitive function. Light physical activity(LPA) duration and moderate-to-vigorous physical activity(MVPA) duration were calculated. Multivariate Logistic regression and Multiple linear regressions were used to analyze the relationship between different intensity of PA duration and the risk of mild cognitive impairment(MCI) and MoCA total score. RESULTS: The median(P25, P75) of LPA and MVPA were 7. 0(0. 0, 16. 3) and 7. 3(0. 0, 14. 0) hours per week in the non-MCI group among 5571 participants aged 55 years and above in four provinces of China in 2018. In the MCI group, the median duration were 9. 3(0. 0, 17. 5) and 7. 0(0. 0, 11. 7) hours per week. The Logistic analysis showed that the OR of MCI was 0. 63(95%CI 0. 49-0. 82, P<0. 05) for the elderly with 3. 6-7. 0 hours of MVPA per week, compared to the elderly without MVPA. The OR of MCI was 1. 26(95%CI 0. 94-1. 67, P>0. 05) for the elderly with 3. 6-7. 0 hours of LPA per week compared to the elderly without LPA. Multiple linear regression analysis showed that compared to the elderly without MVPA, the total MoCA score increased with LPA duration increased as the duration was less than 10. 5 hours per week. The MoCA score decreased with LPA duration increased as duration was between 10. 5 and 21. 0 hours per week. CONCLUSION: MVPA duration increment was associated with decreased prevalence of MCI and increased cognitive function in the elderly in four provinces of China. LPA duration should be maintained at an appropriate level in order to reduce the incidence of MCI and increased cognitive function in the elderly.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".