Cognitive abilities and physical activity in community-dwelling elderly
Bibliographic record
Abstract
There is evidence of the protective role of the regular practice of physical activity (PA) in relation to the aging cognitive decline. A non-exper- imental quantitative study was developed to explore the relationship between physical activity and cognitive abilities in community-dwelling elderly, ana- lysing the relevance of sociodemographic and health related variables. The convenience sample included 546 participants, aged between 63 and 94 years (72.85+6.55), mostly female (69.6%), from the inland of the country (79.5%) and rural areas (68.2%). For data collection, in addition to the sociodemographic questionnaire, the Montreal Cognitive Assessment (MoCA) and the Modified Baecke Questionnaire were used. Statistical analyses (p<.05) were performed using the SPSS-IBM 27. The results point to a positive and significant relationship between the global scores of MoCA and Baecke (r,- 138, p<.02). Self-perception of health was also positively associated with both the MoCA and Baecke global scores (r,- 23 2» p<.001 and r =.204, p<.Oil) and age showed a negative relationship with those two variables (r,- -.294, p<.001 and r,-- *1 3, p<.001). In the association between MoCA and Baecke, the contrast between genders was quite sharp, with males not show ing any statistical relevance (p>.05) in contrast to females (rs=.182, p<.05). Household (living alone or accompanied) showed significant differences in the MOCA, favourable to those living accompanied (U=-3.96, p>.001). In Baecke, only the gender contrast was statistically significant, favourable to females (U= 25395, pt.05). These data are reinforced by scientific evidence and point to policies that promote the practice of physical activity in 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".