2021
DOI: 10.1002/dad2.12260
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Normative data for the Brief Spanish‐English Verbal Learning Test for representative and diverse Hispanics/Latinos: Results from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

Abstract: Introduction Episodic learning and memory performance are crucial components of cognitive assessment. To meet the needs of a diverse Hispanic/Latino population, we aimed to provide normative data on the Brief Spanish‐English Verbal Learning Test (B‐SEVLT). Methods The target population for the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) included individuals 45+ years old from Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American b… Show more

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Cited by 9 publications
(11 citation statements)
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References 44 publications
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“…Word list learning tasks generate some of the most widely used measures for detection of preclinical AD (Weissberger et al, 2017; for review see Belleville et al, 2017), including the amount of learning across repeated presentation-immediate recall trials (i.e., hearing/reading the list and then immediately producing the words), delayed recall (i.e., producing the words after an interposed time interval filled with an unrelated cognitive task), and delayed recognition (i.e., recognizing the words after an interposed time interval filled with an unrelated cognitive task; Bondi et al, 1994). Additional features such as susceptibility to proactive interference or a reduction in semantic clustering are known to be sensitive to AD (Delis et al, 2010; Loewenstein et al, 2016; Rosselli et al, 2019) and can be derived from tests that include multiple word lists or words from multiple semantic categories (Breton et al, 2021; Delis et al, 1987; González et al, 2002; Rosselli et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Word list learning tasks generate some of the most widely used measures for detection of preclinical AD (Weissberger et al, 2017; for review see Belleville et al, 2017), including the amount of learning across repeated presentation-immediate recall trials (i.e., hearing/reading the list and then immediately producing the words), delayed recall (i.e., producing the words after an interposed time interval filled with an unrelated cognitive task), and delayed recognition (i.e., recognizing the words after an interposed time interval filled with an unrelated cognitive task; Bondi et al, 1994). Additional features such as susceptibility to proactive interference or a reduction in semantic clustering are known to be sensitive to AD (Delis et al, 2010; Loewenstein et al, 2016; Rosselli et al, 2019) and can be derived from tests that include multiple word lists or words from multiple semantic categories (Breton et al, 2021; Delis et al, 1987; González et al, 2002; Rosselli et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Cognitive tests were selected based on use in other population-based samples and/or appropriateness for the Hispanic and Latino population . Cognitive measures at visit 2 included learning and memory (Brief-Spanish English Verbal Learning Test [B-SEVLT] Sum of Trials and Delayed Recall), processing speed (Digit-Symbol Substitution [DSS] and Trails Making Test–Trail A), executive functioning (Trails Making Test–Trail B), and phonemic word fluency . Higher scores on Trails A and B reflect slower performance.…”
Section: Methodsmentioning
confidence: 99%
“…A similar dashboard has been published using norms from other tests available through HCHS/SOL. 33 The dashboard allows users to generate raw score predictions based on individual profiles of interest (e.g., predicted score for a 62‐year‐old, Dominican‐origin male, with 6 years of education, and Spanish language preference) based on models fit to several groups: (1) the overall population, (2) no stroke or TIA at visit 1 and visit 2, (3) no stroke or TIA and CN (i.e., individuals free of stroke or TIA at visit 1 and visit 2 and a score of ≥ 5 in the SIS), (4) low mental status (SIS score of ≤ 4), and (5) typical mental status (SIS score of ≥ 5). Dashboard users can use observed raw individual scores of hypothetical individuals relative to the normative distribution (standardized z scores; SS) given their model expected value.…”
Section: Methodsmentioning
confidence: 99%