The Effect of Virtual Intelligence Games Applied to Older Adults on Cognitive Skills
Notice bibliographique
Résumé
Objective : This study aimed to evaluate cognitive status, quality of life, and mood in older adults through intelligence games loaded onto smartphones. Methods : In this study, 60 older adults aged 65 and over, who voluntarily participated and visited the outpatient clinic of the Department of Physical Therapy and Rehabilitation at Kırıkkale University Faculty of Medicine, were evaluated. The sociodemographic information of the older adults such as age, height, weight, etc., was recorded. The cognitive statuses were assessed using the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), the quality of life was evaluated using the Nottingham Health Profile, and the depression statuses were assessed with the Geriatric Depression Scale (GDS). Those older adults meeting the inclusion criteria, with a MMSE score below 24, were included in the study, totaling 50 participants. Subsequently, the individuals were randomly divided into 2 groups: training and control, with each group consisting of 25 older adults. The training group was requested to play intelligence games developed by researchers and installed on their smartphones at least once a day for 8 weeks. Both the training and control groups were assessed using a questionnaire created before and after the training period. Results : According to the statistical analysis conducted, a significant difference was found between the training and control groups in the MMSE, MoCA, and GDS scores after the training. There was a significant difference found in the total score of sleep, emotional state, and overall quality of life ( P < .05), while no significant differences were detected among the other parameters ( P > .05). Conclusion : In conclusion, it was determined that technological advancements and the intelligence games loaded onto their smartphones, which they can access anytime and anywhere, improved the cognitive status of older adults in areas such as memory, attention, calculation, and shape matching and, it was observed that these activities enhanced their mood, sleep, and overall quality of life.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».