1. Adaptation and norm determination of the Boston Naming Test for healthy Lebanese adults aged between 50 and 88 years
- Author
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Georges Chedid and Michele Stephan
- Subjects
Boston Naming Test (BNT) ,Adaptation ,Norm determination ,Neuropsychological tests ,Object naming ,Word retrieval ,Language and Literature - Abstract
Abstract The Boston Naming Test is a well-known neuropsychological test widely used to evaluate linguistic abilities, encompassing object naming and word retrieval in subjects representing various clinical pathologies. Our study has two main stages: (1) a pilot study aimed at adapting the BNT to the linguistic and cultural particularities of Lebanese society and (2) norm determination for the Lebanese version of the BNT through the analysis of participants’ responses. The primary goal of this study is to develop a Lebanese version of the BNT comprising 60 images adapted to the Lebanese language and culture. This version is based on normative data derived from healthy Lebanese adults aged between 50 and 88 years. The study seeks to assess the influence of age, gender, and education level on the naming performance of participants. In the pilot study, 103 Lebanese volunteers participated, while the normative study involved 280 healthy volunteers aged between 50 and 88 years. Three screening tests—Montreal Cognitive Assessment (MOCA), Language Experience and Proficiency Questionnaire (LEAP-Q), and Geriatric Depression Scale 15-item (GDS)—were administered to select participants meeting inclusion criteria. The findings revealed a statistically significant effect of age and education level on the BNT (Lebanese version) total score. The total score decreased with age and increased with education. However, the effect of gender was not significant, a result confirmed by the generalized linear model. This study successfully produced a Lebanese version of the BNT comparable to the original English version. Additionally, it provided normative data crucial for evaluating naming ability, word retrieval, and detecting potential disorders associated with aging.
- Published
- 2024
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