Methodology for the generation of normative data for the U.S. adult Spanish-speaking population: a Bayesian approach

dc.contributor.authorRivera, Diego
dc.contributor.authorForte, Anabel
dc.contributor.authorOlabarrieta Landa, Laiene
dc.contributor.authorPerrin, Paul B.
dc.contributor.authorArango Lasprilla, Juan Carlos
dc.contributor.departmentCiencias de la Saludes_ES
dc.contributor.departmentOsasun Zientziakeu
dc.date.accessioned2025-02-25T08:44:19Z
dc.date.available2025-02-25T08:44:19Z
dc.date.issued2024-09-20
dc.date.updated2025-02-25T08:41:11Z
dc.description.abstractObjective: To present the methodology for a study generating normative neuropsychological test data for healthy Spanish-speaking adults (18-80 years old) living in the U.S. using Bayesian inference as a novel approach. Method: The study sample consisted of 253 healthy adults from eight U.S. regions (California, Connecticut, Florida, Indiana, New Jersey, Oregon, Virginia, and Wisconsin), with individuals originating from a diverse array of Latin American countries. To participate in the study, individuals must have met the following criteria: were between 18 and 80 years of age, had lived in the U.S. for at least 1 year (12 continuous months), self-identified Spanish as their dominant language, had at least one year of formal education, were able to read and write in Spanish at the time of evaluation, scored ¿23 on the Mini-Mental State Examination, scored <10 on the Patient Health Questionnaire¿9, and scored <10 on the Generalized Anxiety Disorder scale. Participants completed 12 neuropsychological tests. Reliability statistics and norms were calculated for all tests. Conclusions: This was the first normative study for Spanish-speaking adults in the U.S. to implement demographic, acculturation, and bilingual dominance measures as possible controls. Additionally, it was the first study to use Bayesian linear or generalized linear regression models for generating normative data in neuropsychology.en
dc.description.sponsorshipThis research was supported in part by grants awarded to Carmen I Carrión, Psy.D. from the National Institute of Health (grant number P30 AG066508). Its contents are solely the responsibility of the authors and do not necessarily represent the official view of NIH. This research was funded, in part by grant awarded to Miriam J Rodriguez to the National Institute of Heath/National Institute of Aging (grant number L60 AG069322).
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRivera, D., Forte, A., Olabarrieta-Landa, L., Perrin, P. B., Arango-Lasprilla, J. C. (2024). Methodology for the generation of normative data for the U.S. adult Spanish-speaking population: a Bayesian approach. NeuroRehabilitation, 55(2), 155-167. https://doi.org/10.3233/NRE-240149.
dc.identifier.doi10.3233/NRE-240149
dc.identifier.issn1053-8135
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/53556
dc.language.isoeng
dc.publisherSAGE
dc.relation.ispartofNeuroRehabilitation (2024), vol. 55, núm. 2
dc.relation.publisherversionhttps://doi.org/10.3233/NRE-240149
dc.rights© 2024 - IOS Press. This is an author accepted manuscript and its reuse is restricted to non-commercial and no derivative uses.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectbayesian inferenceen
dc.subjectgeneralized linear modelsen
dc.subjectNormative dataen
dc.subjectspanish-speaking adulten
dc.subjectvariable selectionen
dc.titleMethodology for the generation of normative data for the U.S. adult Spanish-speaking population: a Bayesian approachen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationc4afffcd-789f-49bd-984d-0604e901154b
relation.isAuthorOfPublicationf893b2b6-98c4-4fcc-b6e2-b80494f50a9c
relation.isAuthorOfPublication.latestForDiscoveryc4afffcd-789f-49bd-984d-0604e901154b

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