Abstract

Hispanic adults display a higher likelihood of early-stage cognitive decline than their White counterparts yet receive fewer clinical diagnoses. This troubling trend highlights the significance of longitudinal surveys like the National Social Life, Health, and Aging Project (NSHAP) in monitoring cognitive changes in aging Hispanics. Using NSHAP's Rounds 2 and 3, we observed notable cognitive score differences between English and Spanish speakers, as assessed by the survey-adapted version of the Montreal Cognitive Assessment (MoCA-SA). Our study aims to discern if statistical adjustments can reduce measurement variance in global cognition scores between these language groups. We applied modification indexes, two-parameter item response theory models, and split-sample testing to pinpoint items that exhibit resilience to language-related bias among our Hispanic sample. From this analysis, an abbreviated version of the MoCA-SA, termed MoCA-SAA, was introduced. Subsequently, we juxtaposed the performance and predictive validity of both MoCA versions against four consequential outcomes indicative of cognitive decline. Our refined methodologies enabled the identification of consistent items across both language cohorts. The MoCA-SAA demonstrated a performance and predictive validity in line with the original MoCA-SA concerning outcomes linked to cognitive deterioration. The translated measures ensure the inclusion of Hispanic Spanish speakers in NSHAP, who might otherwise be overlooked. The statistical adjustment outlined in this study offers a means to mitigate potential measurement disparities when assessing overall cognition. Despite these advancements, we acknowledge persistent issues related to the translation of the MoCA-SA into Spanish that warrant further attention.

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