Aerobic or strength training and flexibility activities and mild cognitive impairment: CETI cohort
Bibliographic record
Abstract
Abstract Background Previous studies have been notably criticized for not studying the different types of physical activity. The objective of this work was to examine the association between types of physical activity and cognitive decline in older people. Methods This is a sub-group analysis from the CETI cohort, a multicenter prospective study conducted by the Canadian Emergency Team Initiative Program (CETIE), between 2011 and 2016. Participants were community-dwelling seniors aged ≥ 65 years, consult emergency services for minor injuries with follow-up at 3 and 6 months. Physical activity was assessed by the RAPA (Rapid assessment of Physical activity), which describes the level of aerobic activities and the overall level of muscle strength and flexibility activities. The cognitive status was assessed with the Montreal Cognitive Assessment (MoCA) and the Telephone Interview for Cognitive Status (TICS), using their current cut-offs (MoCA <26/30 and TICS < = 35/50) for mild cognitive impairments (MCI). Logistic regression, COX models and splines were used to examine the association between the type of physical activities and the onset of cognitive impairment. Results At inclusion, 281 individuals were free of MCI, or 43.8% of the total sample, with an average age of 73 years. During follow-ups, MCI appeared in 31.7% of participants initially free of it. The risk of MCI was lower with higher muscular strength & flexibility physical activities (HR = 0.84 [0.70-0.99]), while the relationship with aerobic physical activities was not significant. Conclusions These results showed a potential link between strength & flexibility activities and cognitive impairments, but not with aerobic physical activities. Further analyses are needed to examine whether these relationships persist as a function of the adjustment variables, or statistical methods. This study contributes to the debate on the evaluation of physical activity in the elderly, and its link with neurodegenerative diseases. Key messages This study analyzed the link between types of physical activity and mild cognitive disorders. The aim is to put in place preventive policies of aging, specially in neurodegenerative diseases. The work allowed us to see the effect of the different types of physical activity and the impact of the statistical method on the results.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".