ArticleArchives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists2022
Algorithms for Operationalizing Mild Cognitive Impairment Using the Spanish-Language NIH Toolbox Cognition Battery.
Article in Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed, 1 citations in OpenAlex.
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3 authors at 3 institutions in 1 country.
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Abstract
objectiveNeuropsychologists would benefit from flexible methods for operationalizing psychometric cognitive impairment in Spanish-speaking examinees that vary in association with intelligence, education, and sociocultural characteristics. The current study combined low and high score base rates (BRs) for the Spanish-language NIH Toolbox Cognition Battery (NIHTB-CB) to identify score combinations that are uncommon within different stratifications of the normative sample and may indicate cognitive impairment.
methodThe Spanish-language NIHTB-CB normative sample included 250 healthy Latinx adults with complete data on two crystallized and five fluid cognitive tests (M = 38.8 ± 13.7 years old, 72.0% women). Test performances were converted into age-adjusted and demographically adjusted normed scores, adjusting for age, gender, and education. The frequencies at which participants obtained one or more low scores or few to no high scores on fluid cognitive tests were combined into algorithms that occurred at BRs approximately 1 SD (~16%) or 1.5 SDs (~7%) below the mean.
resultsAlgorithms are provided for age-adjusted and demographically adjusted scores, with BRs stratified by crystallized ability, education, and sociocultural characteristics. Using demographically adjusted norms, the BR of obtaining any one of the following, 5 scores <50th, 4+ scores ≤25th, 3+ scores ≤16th, or 2+ scores ≤9th percentile, approximates 1 SD below the mean in participants born (BR = 16.2%) or educated abroad (BR = 18.6%), who are monolingual Spanish speakers (BR = 16.4%) or who reside in low-income households (BR = 13.6%).
conclusionsThese algorithms offer a flexible approach to operationalizing psychometric cognitive impairment, through which different definitions can be applied to different examinees based on varying crystallized ability, education, and sociocultural characteristics.
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