Effect of the Turkish Strategy Game Mangala on Cognitive Functions in Individuals with Alzheimer’s Disease: A Pilot Study
Bibliographic record
Abstract
"Cognitive impairment is a common symptom of Alzheimer's Disease (AD). Memory loss, difficulty completing familiar tasks, problems with language, disorientation to time and place, poor judgment, problems with abstract thinking, misplacing things, changes in mood and personality, and loss of initiative are some of the common symptoms of cognitive impairment in individuals with AD. This study aimed to examine the effect of the Turkish intelligence and strategy game Mangala on cognitive functions in individuals with AD. Material and Methods: Individuals with AD residing in the Denizli Elderly Care and Rehabilitation Center were included in this study. In addition to the demographic characteristics, the level of anxiety and general cognitive functions were assessed with Hospital Anxiety Depression Scale (HAD) and Montreal Cognitive Assessment Scale (MoCA), respectively. Both the treatment and control groups had daily physiotherapy and rehabilitation sessions. Results: The mean age of the treatment (n=6) and control (n=6) group were 81.16±9.49 and 80±3.85 years. There was no significant difference between the groups before treatment(p>0.05). MoCA values improved significantly in the treatment group (p<0.05), and there was no significant difference between the groups (p>0.05). Discussions: According to the findings of our research, which examined the impact of Mangala on cognitive functions in individuals diagnosed with AD, it was observed that playing Mangala resulted in significant improvements in their cognitive abilities. In preventing cognitive decline in patients with AD, keeping the neural connections in the brain strong is needed. Games such as Mangala may play an important role in maintaining strong connections among these cognitive functions. Conclusions: Games, such as the Turkish intelligence and strategy game Mangala, that are easy-to-play, entertaining, and adaptable for patients with AD challenge working memory and mental agility, could be part of the rehabilitation plan for clinical practitioners working in this field."
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".