Associations Between Cognitive Performance, Depression, Anxiety, and Stress in Patients With Chronic Vestibular Dysfunction: A Cross-Sectional Analysis
Notice bibliographique
Résumé
Background: The vestibular system is critical for sensorimotor function, balance control, and gaze stability. Recent research highlights its role in cognitive functions, including attention, memory, and visuospatial skills. The integration of this system is lateralized in the brain. These disorders represent a substantial burden on healthcare systems, and a negative impact on quality of life. Objectives: Previous research has shown that increased cognitive load can alter vestibular evoked myogenic potentials (VEMPs), suggesting that vestibular function is influenced by cognitive demands. Therefore, this study aims to (1) examine the relationship between cognitive performance, as measured by the Montreal Cognitive Assessment (MoCA), and baseline vestibular function through cervical and ocular VEMPs (cVEMPs and oVEMPs), to determine whether vestibular dysfunction is associated with cognitive decline; (2) assess the association between depression, anxiety, and stress measured by the Depression, Anxiety, and Stress Scale (DASS-21) subscales, and VEMP parameters; and (3) explore the overall interaction between cognitive and affective domains in chronic vestibular dysfunction, providing insight into the neurophysiological links between balance, cognition, and emotion. Methodology: Patient data was retrieved from the Otoneurology Service database at the National Institute of Rehabilitation Luis Guillermo Ibarra Ibarra, covering the period from January 2017 to December 2019. This study was conducted from 2022 to 2025. Data included: self-reported scores from the DASS-21 and results from the MoCA test. For data analysis, descriptive statistics, bivariate frequency tables, and the Shapiro-Wilks test, were used to characterize the variables. Spearman's correlation coefficients were then used to evaluate the relationship between MoCA scores, the scores from the DASS-21 scales (depression, anxiety, and stress), cVEMP, and oVEMP values, using a P value < 0.05 for statistical significance. Linear regression was subsequently performed to further analyze any relationships found to be statistically significant. Results: In this study of 29 subjects, a demographic analysis revealed a slight female predominance, with 18 subjects (62.1%) female and 11 subjects (37.9%) male. The mean age was 49 years. The most prevalent diagnosis was right vestibular dysfunction, which affected 17 subjects (58.6%), with dizziness being the most common accompanying symptom, also reported by 17 subjects (58.6%). A subsequent Spearman correlation analysis revealed a positive and statistically significant (P=0.04), though medium, correlation between cognitive function (as measured by the MoCA) and the amplitude of the right ocular VEMP. This finding was further supported by a linear regression analysis, which also showed a statistically significant relationship between the variables (P=0.03). Conclusions: A positive and statistically significant medium correlation was found, using both Spearman's correlation coefficient and linear regression, between cognitive function and amplitude of vestibular response in the right oVEMP. Conversely, this study found no significant correlation between vestibular evoked myogenic potentials, cervical or ocular, and the variables for the DASS-21. Though further research needs to be done to definitively determine the relationship between the vestibular system, cognition, and cognitive states, this study provides valuable preliminary insights.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 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) | 0,001 | 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 ».