Abstract

Objective We generated demographically adjusted norms for the Brief Visuospatial Memory Test-revised (BVMT-R) and the Hopkins Verbal Learning Test-revised (HVLT-R) for Spanish-speakers from the U.S.-Mexico border region as part of a larger normative project. Methods: Healthy native Spanish-speakers (n = 203; Age: 19–60 years; Education: 0–20 years, 59% women) living in Arizona (n = 63) and California (n = 140) completed the BVMT-R and the HVLT-R as part of the larger Neuropsychological Norms for the U.S.-Mexico Border Region in Spanish (NP-NUMBRS) project. Raw scores were converted to T-scores utilizing fractional polynomial equations, which considered linear and non-linear effects of demographic variables (age, education, sex). To demonstrate the benefit of employing our population-specific norms, we computed the proportion of our participants whose test performance fell below one standard deviation (T-score < 40) when applying published norms from non-Hispanic English-speakers, compared to the base rate derived from the new normative sample. Results: The resulting demographically adjusted T-scores showed the expected psychometric properties and corrected the misclassification in rates of impairment that were obtained when applying norms based on the English-speaking sample. Unexpectedly, participants in Arizona obtained slightly lower HVLT-R T-scores than those in California. This site effect was not explained by available sociodemographic or language factors. Supplementary formulas were computed adjusting for site in addition to demographics. Conclusions: These updated norms improve accuracy in identification of learning and memory impairment among Spanish-speaking adults living in the U.S.-Mexico border region. It will be important to generate additional data for elders, as the present norms are only applicable to adults age 60 and younger.

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