The relationship between the brain gym and the changes in interleukin 6 levels and the cognitive function in the elderly
Bibliographic record
Abstract
Background: The prevalence of cognitive impairment increased by 10% that is doubling every 20 years. Brain gym is one of the non-pharmacological cognitive stimulation therapies that effectively increases brain neuroplasticity and is easy to do. The interleukin 6 biomarker is a pro-inflammatory blood marker that is sensitive to cognitive impairment. This research aims to analyze the relationship between the brain gym and the changes in interleukin 6 levels and the cognitive function in the elderly.Methods: This research is a quasi-experimental observational study with a pretest and post-test approach without controls. The subjects are the elderly from the Tresna Werdha Social Home, Semarang. For comparative hypothesis test between categorical and numerical scale variables, normal data distribution was conducted by Independent T-test.Results: In this research, 33 subjects had the average age of 70.06 ± 6.43 years and the dominant sex was male. There was a significant difference between interleukin 6 levels in pre and post brain gym (p<0.001). There was also a significant difference between the MoCA-Ina values in pre and post brain gym (p<0.001).Conclusion: Interleukin 6 levels decreased after doing brain gym compared to before while the MoCA-Ina value increased after doing brain gym compared to before. Brain gym is safe, easy to do, and effective as a non-pharmacological therapy of neuroplasticity in cognitive impairment.
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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 | 0.013 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".