Majejaitan Activity and High Serum BDNF Levels as Protective Factors Against Cognitive Impairment in the Elderly
Bibliographic record
Abstract
The aging process in the elderly affects not only physical capabilities but also cognitive function. Cognitive impairment in older adults is thought to be associated with physical activity and neurotrophic factors, particularly the serum level of Brain-Derived Neurotrophic Factor (BDNF). Majejaitan—a traditional form of activity involving fine motor coordination and repetitive hand movements—is hypothesized to exert a protective effect against cognitive impairment by increasing serum BDNF levels. This study aimed to examine the role of Majejaitan activity and elevated serum BDNF levels as potential protective factors against cognitive impairment in elderly individuals. An observational case-control study was conducted from November 2024 to January 2025 at the East Denpasar 1 Primary Health Care Center. The participants were women aged 50–60 years, divided equally into two groups: a case group (with cognitive impairment) and a control group (without cognitive impairment), each consisting of 19 participants. Cognitive impairment was assessed using the Indonesian version of the Montreal Cognitive Assessment (MoCA-Ina), with scores below 26 indicating impairment. Majejaitan activity was defined as performing the activity at least three times per week for 30–60 minutes, and participants were classified as either active or inactive. Serum BDNF levels were measured using a sandwich-type ELISA with the Human BDNF ELISA Kit (BT LAB) and were categorized as high or not high based on receiver operating characteristic (ROC) curve analysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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".