Association Between Cognitive Function and Balance Among The Elderly In Jakarta
Bibliographic record
Abstract
Introduction: The world is entering an aging population. With aging comes many challenges due to changes of the brain structure that affect both cognitive function and balance. The amount of cognitive function and balance impairment cases in the elderly are rising. If left unattended, it can cause numerous adverse effects in the elderly, eventually leading to the loss of the ability to perform activities of daily living. Studies have observed the relationship between cognitive impairment and balance in Indonesia, but only a few were conducted in Jakarta, specifically among elders in the nursing home. This study is aimed to observe the association between cognitive function and balance in the elderly.Methods: This is a secondary analysis using a previous study conducted in PSTW Budi Mulia Jakarta in 2016. Demographic data, cognitive function, and balance were assessed using the demographic questionnaire, Mini-Mental State Examination (MMSE), and Berg Balance Scale (BBS). Statistical analysis is conducted using IBM SPSS Ver 22.Results: Most respondents were female, aged 60-69 years old, had low education level, good MMSE score (53,3%), and a normal BBS (90,7%) score. We found a significant relationship between cognitive functions and balance (p=0,045).Conclusion: Cognitive function is related to balance impairment in the elderly.
 Key Words: balance, cognitive function, elderly
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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 | 0.000 |
| 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".