The impact of loneliness on balance learning ability in aging patients with Parkinson’s disease
Notice bibliographique
Résumé
OBJECTIVE: Loneliness is highly prevalent among patients with Parkinson's disease (PwPD) and, through complex body-brain interactions, increases their vulnerability to health issues, including balance impairments. Despite extensive evidence linking loneliness to cognitive-motor dysfunctions, the direct impact of loneliness on motor learning, particularly dynamic balance learning, has not been comprehensively examined. As the first study in this field, our research investigates the effect of loneliness on the ability to learn dynamic balance in PwPD, addressing a critical research gap in this domain. METHODS: This study was conducted over six months with the participation of sixty volunteers divided into three distinct groups: 20 PD patients who reported loneliness (loneliness-positive group), 20 PD patients who did not report loneliness (loneliness-negative group), and 20 healthy individuals as the control group. Participants were matched for sex, age, and body mass index (BMI) and were recruited from hospitals and specialized movement disorder clinics. We utilized standardized instruments, including the Mini Balance Evaluation Systems Test (MiniBESTest) to assess balance performance, the de Jong-Gierveld Loneliness Scale (DjG)/ the Three-Item Loneliness Scale (TILS/ the Social and Emotional Loneliness Scale for Parkinson's Disease (SELSA-PD) to assess loneliness levels, the Rosenberg Self-Esteem Inventory (RSI) to assess self-steem, and the Multidimensional Scale of Perceived Social Support (MSPSS) to assess social support in one day before performing balance learning task. Additionally, balance learning was evaluated using a stabilometer, and parameters such as learning rate, learning curve slope, and short- and long-term memory were analyzed. RESULTS: The results indicated that PwPD in the loneliness-positive group exhibited poorer balance performance (MiniBESTest) and higher scores on various loneliness scales, including DjG, TILS, and SELSA-PD. Additionally, this group did not demonstrate balance learning potential (learning rate and slope) compared to the other groups. In contrast, PD patients in the loneliness-negative group showed improvement in the early stages of balance learning (Block1 vs. Block3: p = 0.001; Block1 vs. Block4: p = 0.001; Block1 vs. Block5: p < 0.001; Block2 vs. Block5: p = 0.014).), while the control group exhibited continuous improvement (p = 0.00). Both the loneliness-negative and control groups retained their balance skills in both short-term and long-term assessments (p > 0.05). CONCLUSION: This study is the first to directly examine the impact of loneliness on dynamic balance learning in PwPD. The findings revealed that loneliness can act as a significant inhibitory factor in balance rehabilitation for these patients. The results underscore the importance of designing targeted interventions to reduce feelings of loneliness to enhance balanced learning. Furthermore, the study paves the way for future research to investigate the underlying neural mechanisms and explore the effects of social and psychological interventions on improving motor learning in these patients.
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Comment cette classification a été obtenuedéplier
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 ».