Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.

Objective: Phonological and semantic verbal fluency (VF) tasks are frequently used to assess language and executive functions in both clinical and research settings. F, A, and S are the most commonly used letters in phonological tasks across languages and cultures. Unfortunately, the lack of norms f...

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Detalles Bibliográficos
Autores: Lubrini, Genny, Periáñez Morales, José Antonio, Laseca Zaballa, Garazi, Bernabéu Brotons, Elena, Rios Lago, Marcos
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/124678
Acceso en línea:https://hdl.handle.net/20.500.14352/124678
Access Level:acceso abierto
Palabra clave:Aging
Assessment
Cross-cultural
Normative data
Verbal fluency
Psicología cognitiva
6105.07 Elaboración de Tests
6106.07 Procesos Mentales
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spelling Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.Lubrini, GennyPeriáñez Morales, José AntonioLaseca Zaballa, GaraziBernabéu Brotons, ElenaRios Lago, MarcosAgingAssessmentCross-culturalNormative dataVerbal fluencyPsicología cognitiva6105.07 Elaboración de Tests6106.07 Procesos MentalesObjective: Phonological and semantic verbal fluency (VF) tasks are frequently used to assess language and executive functions in both clinical and research settings. F, A, and S are the most commonly used letters in phonological tasks across languages and cultures. Unfortunately, the lack of norms for the native Spanish population for these letters, and for certain semantic categories such as "proper names," may lead to misinterpretation of scores due to demographic differences. The aim of the present study was to provide normative data for F, A, and S and for "proper names," "animals," and "fruits and vegetables" for the native Spanish population. Method: 257 healthy subjects took part in the study (ages: 17-100 years, 3-20 years of education). Correlation, multiple regression, and t-tests were used to select the most appropriate variables for stratification. Results: Education was the best predictor of performance in all tasks, followed by age. Given that t-test results showed no differences related to gender, with the only exception of the semantic category "animals," this variable was not considered for stratification. Consequently, the data were stratified in two education levels (<13, ≥13 years of education) and in two age levels (<60, ≥60) within the low-educational level group. Mean, standard deviation, and percentile scores for each group are provided. Conclusions: The present norms provide a reference for clinicians assessing VF. This data may also facilitate comparisons with other normative studies in cross-cultural and cross-linguistic research.Oxford AcademicUniversidad Complutense de Madrid20222022-03-0120222022-03-01journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/124678reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1246782026-06-02T12:44:21Z
dc.title.none.fl_str_mv Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.
title Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.
spellingShingle Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.
Lubrini, Genny
Aging
Assessment
Cross-cultural
Normative data
Verbal fluency
Psicología cognitiva
6105.07 Elaboración de Tests
6106.07 Procesos Mentales
title_short Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.
title_full Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.
title_fullStr Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.
title_full_unstemmed Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.
title_sort Verbal fluency tasks: influence of age, gender, and education and normative data for the Spanish native adult population.
dc.creator.none.fl_str_mv Lubrini, Genny
Periáñez Morales, José Antonio
Laseca Zaballa, Garazi
Bernabéu Brotons, Elena
Rios Lago, Marcos
author Lubrini, Genny
author_facet Lubrini, Genny
Periáñez Morales, José Antonio
Laseca Zaballa, Garazi
Bernabéu Brotons, Elena
Rios Lago, Marcos
author_role author
author2 Periáñez Morales, José Antonio
Laseca Zaballa, Garazi
Bernabéu Brotons, Elena
Rios Lago, Marcos
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Aging
Assessment
Cross-cultural
Normative data
Verbal fluency
Psicología cognitiva
6105.07 Elaboración de Tests
6106.07 Procesos Mentales
topic Aging
Assessment
Cross-cultural
Normative data
Verbal fluency
Psicología cognitiva
6105.07 Elaboración de Tests
6106.07 Procesos Mentales
description Objective: Phonological and semantic verbal fluency (VF) tasks are frequently used to assess language and executive functions in both clinical and research settings. F, A, and S are the most commonly used letters in phonological tasks across languages and cultures. Unfortunately, the lack of norms for the native Spanish population for these letters, and for certain semantic categories such as "proper names," may lead to misinterpretation of scores due to demographic differences. The aim of the present study was to provide normative data for F, A, and S and for "proper names," "animals," and "fruits and vegetables" for the native Spanish population. Method: 257 healthy subjects took part in the study (ages: 17-100 years, 3-20 years of education). Correlation, multiple regression, and t-tests were used to select the most appropriate variables for stratification. Results: Education was the best predictor of performance in all tasks, followed by age. Given that t-test results showed no differences related to gender, with the only exception of the semantic category "animals," this variable was not considered for stratification. Consequently, the data were stratified in two education levels (<13, ≥13 years of education) and in two age levels (<60, ≥60) within the low-educational level group. Mean, standard deviation, and percentile scores for each group are provided. Conclusions: The present norms provide a reference for clinicians assessing VF. This data may also facilitate comparisons with other normative studies in cross-cultural and cross-linguistic research.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-03-01
2022
2022-03-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/124678
url https://hdl.handle.net/20.500.14352/124678
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Oxford Academic
publisher.none.fl_str_mv Oxford Academic
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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