Effects of a Dart Game Intervention in Community-Dwelling Older Adults with Suspected Mild Dementia: An Exploratory Study Using the Japanese Version of the Montreal Cognitive Assessment
Notice bibliographique
Résumé
BACKGROUND: With the aging of the population, awareness of various dementias, including Alzheimer's disease, is spreading. The causes of these dementias are being elucidated, while prevention is also becoming more important. Aerobic exercise, strength training, and flexibility exercise (physical exercise) alone are not sufficient to improve cognitive function, and dual-task activities that engage both physical and cognitive functions are effective for its prevention. Therefore, the present study investigated the effects of an intervention with dart games on cognitive function in older adults suspected of having mild cognitive impairment (MCI) who reside in the community. Factors contributing to these effects were also examined. METHODS: The intervention with dart games lasted for six months and was tested on healthy older individuals (aged ≥ 65 years) recruited from the community (Mihara City and Kumano Town in Hiroshima Prefecture and Iki City in Nagasaki Prefecture). The dart game intervention was the Count-Up and 01 Game, which took place every two weeks over a six-month period, with each session lasting 100 minutes. Data from 62 participants with or without MCI were analyzed. An intervention was conducted in which older adults suspected of having MCI who reside in the community played dart games for six months. Cognitive function was assessed before and after the intervention using the Montreal Cognitive Assessment-Japanese version (MoCA-J) to evaluate the effects of the intervention. Participants were classified based on their MoCA-J scores, and those scoring ≤25 were categorized as suspected MCI. For those classified as suspected MCI before the intervention, it was determined whether they were MCI (non-improved MCI group) or not MCI (improved MCI group) after the intervention. In both groups, MoCA-J subdomain scores (orientation (six points), language (three points), visuospatial/executive function (five points), delayed recall (five points), abstraction (two points), attention (six points), and naming (three points)) were compared. The predictive ability of MoCA-J scores for MCI improvement due to the dart game intervention was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC). RESULTS: Among patients classified as suspected MCI before the intervention (n=27), 11 were in the non-improved MCI group and 16 in the improved MCI group after the intervention, with some subjects showing improvement in cognitive function following the intervention. In a comparison of the MoCA-J subdomain scores before and after intervention for those classified as suspected MCI before the intervention, improvements were revealed in "delayed recall (non-improved MCI group 0.0 vs. improved MCI group 2.5, median comparison)" and "attention (non-improved MCI group 0.0 vs. improved MCI group 1.0, median comparison)". The predictive ability of the dart game intervention to improve MCI for subjects classified as MCI before the intervention was determined using an ROC curve, with an AUC of 0.841. The optimal cut-off score based on Youden's index was 22 points. CONCLUSION: The dart game intervention demonstrated potential cognitive benefits, particularly in brain regions associated with "delayed recall" and "attention." Among older adults with MoCA-J scores of approximately 22, participating in a six-month dart game intervention may help improve MCI.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».