Turkish Version of the Video‐Naming Test for Assessing Verb Anomia (DVAQ‐30): Normative Data for the Adult Turkish Population and Validation Study in Mild Cognitive Impairment and Alzheimer's Disease
Notice bibliographique
Résumé
OBJECTIVE: Compared to nouns, the impairment of the capacity of retrieving verbs in spoken production is much less documented. In the clinical field, there are also very few tests that have been developed specifically for verb anomia. Clinicians and researchers lack a concise and practical naming test to assess verb anomia, a condition that can occur in adults and the elderly due to various factors. The aim of this study was to adapt the Quebec Action Video Naming Test-30 items (DVAQ-30) into Turkish, establish its validity and develop normative data adapted to the Turkish population. METHOD: This research consists of three studies. In Study 1, the DVAQ-30 was linguistically and culturally adapted to the Turkish language, resulting in the DVAQ-TR. In Study 2, a group of adults and older Turkish-speaking people were assessed with the DVAQ-TR to obtain normative data. In Study 3, the psychometric properties of the DVAQ-TR (known-group discriminant validity and convergent validity) were investigated by comparing the performance of healthy individuals and patients with mild cognitive impairment (MCI) or with Alzheimer's disease (AD). RESULTS: Normative data were obtained based on the performance of 424 participants aged between 18 and 81 years. The percentiles were stratified according to the sociodemographic influencing variables of age, sex and level of education. The DVAQ-TR had good convergent validity and distinguished the performance of healthy participants from that of participants with MCI or AD. CONCLUSIONS: The DVAQ-TR fills an important gap and has the capacity to assist clinicians and researchers in more accurately identifying acquired verb anomia, including in people with MCI or AD. WHAT THIS PAPER ADDS: What is already known on this subject Verb anomia is a frequent symptom in various neurocognitive disorders, yet it remains under-assessed in clinical settings, especially compared to noun naming. Existing tools in Turkish primarily focus on object naming and often rely on static images, which may not effectively capture action concepts. Recent studies suggest that video-based assessments provide a more ecologically valid approach to verb naming evaluation. What this study adds to existing knowledge This study presents the Turkish adaptation and validation of the DVAQ-30, a video-based verb naming test, offering culturally and linguistically appropriate normative data for Turkish-speaking adults and elderly individuals. It also demonstrates that the DVAQ-TR successfully differentiates between healthy controls and individuals with MCI or Alzheimer's disease and shows good convergent validity with the Boston Naming Test. These findings highlight the clinical utility of the DVAQ-TR in detecting verb anomia in Turkish-speaking populations. What are the clinical implications of this study? The DVAQ-TR provides clinicians with a quick, valid, and culturally sensitive tool for assessing verb anomia in adults with suspected neurocognitive impairments. It enhances diagnostic accuracy and may inform tailored language intervention strategies in individuals with MCI and Alzheimer's disease. The availability of Turkish normative data ensures accurate interpretation of test results across different age, sex, and education groups.
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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 | 0,003 |
| 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 | 0,001 | 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 ».