Retracted: Effects of Tai Chi on Cognitive Function in Older Adults With Type 2 Diabetes Mellitus: Randomized Controlled Trial Using Wearable Devices in a Mobile Health Model
Dossier post-publication
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Notice bibliographique
Résumé
Background: Telemedicine is an effective and promising strategy, especially for the initial stages of a home-based therapeutic exercise program. Objective: The objectives of this study were 2-fold: first, to assess whether Tai Chi practice combined with wearable device-based monitoring improves cognitive function in this population, and second, to explore the underlying mechanisms for any improvements observed, including changes in physical activity levels and sleep patterns. Methods: The study was a randomized controlled trial in which participants were randomized (1:1:1) to receive usual care, fitness walking, or Tai Chi exercise. All indicators were assessed at baseline and 12-week follow-up. The usual care includes traditional diabetes education. Participants in the fitness walking group performed walking exercises on a treadmill under the supervision of a researcher 3 times a week for 12 weeks. Participants in the Tai Chi group practiced 24-style Simplified Tai Chi through live video streaming under the guidance of professors and professionals. In this 12-week program, participants underwent continuous glucose monitoring (CGM) using Guardian Sensors 3, CGM sensors attached to the upper arm. All participants carried bracelets to record their heart rate, sleep parameters, and steps. The primary outcome was the Montreal Cognitive Assessment (MoCA) at 12 weeks. Secondary outcomes included other cognitive subdomain tests and blood metabolic indices. The MoCA is a tool designed for rapid screening for mild cognitive impairment (MCI) and early dementia, with the core advantage of being more sensitive to early cognitive problems. The MoCA has a total score of 30. Lower scores may indicate the presence of cognitive dysfunction. Results: After 12 weeks of intervention, the Tai Chi exercise group showed a significant improvement in MoCA scores from baseline (mean difference 23.83, 95% CI 17.79-25.66 vs 21.42, 95% CI 17.11-24.74; P=.03). The fitness walking exercise group showed an improvement in MoCA scores (22.94, 95% CI 18.05-23.98 vs 21.58, 95% CI 17.35-24.12; P.08), but this did not reach statistical significance. Furthermore, there was a statistical difference in the improvement of MoCA scores between the Tai Chi and fitness walking groups (2.65, 95% CI 0.34-4.41 vs 1.44, 95% CI 0.89-2.87; P<.05). The usual care group showed the least change in score at both points (0.23, 95% CI -0.02 to 1.39; P=.83). Compared with the MQ in the fitness walking group (91.93, 95% CI 77.83-97.47) vs 88.62, 95% CI 77.14-95.84; P=.45), Trail Making Test Part B (TMT-B) (220.81, 95% CI 210.03-233.49 vs 223.66, 95% CI 215.04-230.27; P=.33), the Tai Chi group was more effective in improving the MQ (99.23, 95% CI 80.55-107.69 vs 89.23, 95% CI 78.16-96.08; P=.001), TMT-B (207.33, 95% CI 200.26-220.82 vs 225.58, 95% CI 214.12-234.94; P=.001) scores, and there were significant differences between the two groups. Conclusions: In summary, this study demonstrated that web-based exercise therapy for patients may enhance the effectiveness of exercise therapy in improving cognitive function among older individuals with type 2 diabetes mellitus. Tai Chi has significant advantages in improving cognitive function and sleep quality, while fitness walking, although also beneficial, is relatively weak in these areas.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,001 |
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 ».