WHO-UCLA auditory verbal learning test: normative data for Spanish-speaking adults in the United States
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Background: Hispanics are a significant demographic in the US, with diverse cultures and languages. Yet, assessing cognition in this group is complex as cultural and linguistic factors have been found to affect test performance. Objective: To generate normative data on the WHO-UCLA AVLT in a sample of Spanish speaking Hispanics residing in the U.S. Methods: The sample included 245 Spanish speaking individuals aged 18-80 from eight U.S. states (California, Connecticut, Florida, Indiana, New Jersey, Oregon, Virginia, and Wisconsin). Participants were administered the WHO-UCLA AVLT as part of a comprehensive neuropsychological battery. A Bayesian regression approach was used to estimate normative data, including covariates found to be important for predicting performances on measures of learning and memory. Results: Bayesian models showed a logarithmic link between education and all WHO-UCLA AVLT trials, except recognition. For delayed recall, increased Spanish proficiency benefited women's performance exclusively. Time in the U.S. was a significant predictor for Total Recall, indicating worse performance with longer resi-dency. Conclusions: Recognizing cultural factors like language proficiency and duration of U.S. residence is essential for accurately evaluating cognitive function among His-panics. This research emphasizes the significance of accounting for cultural nuances in developing norms for neuropsychological assessments, thereby improving their relevance and effectiveness in diverse communities.
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