Literature DB >> 26934820

[Formula: see text]The Relative Utility of Three English Language Dominance Measures in Predicting the Neuropsychological Performance of HIV+ Bilingual Latino/a Adults.

Caitlin Miranda1, Miguel Arce Rentería1, Armando Fuentes1, Kelly Coulehan1, Alyssa Arentoft2, Desiree Byrd3,4, Ana Rosario1, Jennifer Monzones1, Susan Morgello3,5, Monica Rivera Mindt1,3,4.   

Abstract

OBJECTIVE: Given the disproportionate impact of neurologic disorders such as HIV on racial/ethnic minorities, neuropsychologists are increasingly evaluating individuals of diverse linguistic backgrounds. This study compares the utility of two brief and one comprehensive language measure to account for variation in English neuropsychological performance within a bilingual population.
METHOD: Sixty-two HIV+ English/Spanish bilingual Latino adults completed three language measures in English and Spanish: Self-Reported Language Ability; Verbal Fluency (FAS/PMR); and the Woodcock Munoz Language Survey-Revised (WMLS-R). All participants also completed an English language neuropsychological (NP) battery.
RESULTS: It was hypothesized that the comprehensive English/Spanish WMLS-R language dominance index (LDI) would be significantly correlated with NP performance, as well as the best predictor of NP performance over and above the two brief language measures. Contrary to our hypothesis, the WMLS-R LDI was not significantly correlated to NP performance, whereas the easily administered Verbal Fluency and Self-Report LDIs were each correlated with global NP performance and multiple NP domains. After accounting for Verbal Fluency and Self-Report LDI in a multivariate regression predicting NP performance, the WMLS-R LDI did not provide a unique contribution to the model.
CONCLUSIONS: These findings suggest that the more comprehensive WMLS-R does not improve understanding of the effects of language on NP performance in an HIV+ bilingual Latino population.

Entities:  

Keywords:  HIV; Hispanics/Latinos; Language; Spanish; bilingualism; neuropsychology

Mesh:

Year:  2016        PMID: 26934820      PMCID: PMC5189637          DOI: 10.1080/13854046.2016.1139185

Source DB:  PubMed          Journal:  Clin Neuropsychol        ISSN: 1385-4046            Impact factor:   3.535


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