The effect of brain exercise for improving cognitive function among cognitively impaired batik workers: A preliminary study in Indonesia
Bibliographic record
Abstract
Abstract Background Brain exercise, also known as Brain Gym, aims to maintain brain health by exercising. The movements in brain exercise are focused to train contralateral and ipsilateral coordination, namely by doing hand and foot movements on different sides and the same side alternately. Brain exercise can restore the reticular activating system in the brain so that it can improve memory abilities. This study aimed to identify the effect of brain exercise for improving cognitive function among batik workers who had cognitive Method This study was one group pretest and posttest design. We conducted brain exercise on 47 batik workers with cognitive impairment who were chronically exposed to heavy metals in 2 batik centers in Gulurejo Village, Lendah, Kulonprogo, Indonesia. Subjects were examined for cognitive function before treatment using MoCA‐INA (Montreal Cognitive Assessment‐Indonesia version). The treatment of brain exercise was done 2 times a week for 3 months, with duration of exercise was 10 minutes. The cognitive function of the research subjects was re‐examined after 1 and 3 months of brain exercise. Result The mean age of the subject was 44 years‐old, with the median duration of being batik worker was 4 years (1‐15 years). The mean MoCA‐Ina score before treatment was 19.21 ± 4.86. After 1 month of treatment, there was an increase of MoCA‐INA score to 19.91 ± 4.81. After 3 months of treatment, the MoCA‐INA score futher increased to 22.45 ± 4.74. When further analyzed for each domain, we found that there were no differences after 1 month. However, there was a significant increase in the domains of attention (p = 0.004), language (p = 0.002), abstraction (p = 0.10), delayed recall (p < 0.001) and orientation (p = 0.001) after 3 months exercise. Conclusion Brain exercise may benefit for improving cognitive function among batik workers with cognitive impairment. This study could potentially be applied for other population with dementia to help improving the clinical outcome.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".