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Impact of sociodemographic variables on executive functions

Executive functions (EFs) regulate human behavior and allow individuals to interact and act in the world. EFs are sensitive to sociodemographic variables such as age, which promotes their decline, and to others that can exert a neuroprotective effect. OBJECTIVE: To assess the predictive role of educ...

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Autores principales: Campanholo, Kenia Repiso, Boa, Izadora Nogueira Fonte, Hodroj, Flávia Cristina da Silva Araujo, Guerra, Glaucia Rosana Benute, Miotto, Eliane Correa, de Lucia, Mara Cristina Souza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação de Neurologia Cognitiva e do Comportamento 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5619216/
https://www.ncbi.nlm.nih.gov/pubmed/29213495
http://dx.doi.org/10.1590/1980-57642016dn11-010010
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author Campanholo, Kenia Repiso
Boa, Izadora Nogueira Fonte
Hodroj, Flávia Cristina da Silva Araujo
Guerra, Glaucia Rosana Benute
Miotto, Eliane Correa
de Lucia, Mara Cristina Souza
author_facet Campanholo, Kenia Repiso
Boa, Izadora Nogueira Fonte
Hodroj, Flávia Cristina da Silva Araujo
Guerra, Glaucia Rosana Benute
Miotto, Eliane Correa
de Lucia, Mara Cristina Souza
author_sort Campanholo, Kenia Repiso
collection PubMed
description Executive functions (EFs) regulate human behavior and allow individuals to interact and act in the world. EFs are sensitive to sociodemographic variables such as age, which promotes their decline, and to others that can exert a neuroprotective effect. OBJECTIVE: To assess the predictive role of education, occupation and family income on decline in executive functions among a sample with a wide age range. METHODS: A total of 925 participants aged 18-89 years with 1-28 years' education were submitted to assessment of executive functions using the Card Sorting Test (CST), Phonemic Verbal Fluency (FAS) Task and Semantic Verbal Fluency (SVF) Task. Data on income, occupation and educational level were collected for the sample. The data were analyzed using Linear Regression, as well as Pearson's and Spearman's Correlation. RESULTS: Age showed a significant negative correlation (p<0.001) with performance on the CST, FAS and SVF, whereas education, income and occupation were positively associated (p<0.001) with the tasks applied. After application of the multivariate linear regression model, a significant positive relationship with the FAS was maintained only for education (p<0.001) and income (p<0.001). The negative relationship of age (p<0.001) and positive relationship of both education (p<0.001) and income (p<0.001and p=0.003) were evident on the CST and SVF. CONCLUSION: Educational level and income positively influenced participants' results on executive function tests, attenuating expected decline for age. However, no relationship was found between occupation and the cognitive variables investigated.
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spelling pubmed-56192162017-12-06 Impact of sociodemographic variables on executive functions Campanholo, Kenia Repiso Boa, Izadora Nogueira Fonte Hodroj, Flávia Cristina da Silva Araujo Guerra, Glaucia Rosana Benute Miotto, Eliane Correa de Lucia, Mara Cristina Souza Dement Neuropsychol Original Article Executive functions (EFs) regulate human behavior and allow individuals to interact and act in the world. EFs are sensitive to sociodemographic variables such as age, which promotes their decline, and to others that can exert a neuroprotective effect. OBJECTIVE: To assess the predictive role of education, occupation and family income on decline in executive functions among a sample with a wide age range. METHODS: A total of 925 participants aged 18-89 years with 1-28 years' education were submitted to assessment of executive functions using the Card Sorting Test (CST), Phonemic Verbal Fluency (FAS) Task and Semantic Verbal Fluency (SVF) Task. Data on income, occupation and educational level were collected for the sample. The data were analyzed using Linear Regression, as well as Pearson's and Spearman's Correlation. RESULTS: Age showed a significant negative correlation (p<0.001) with performance on the CST, FAS and SVF, whereas education, income and occupation were positively associated (p<0.001) with the tasks applied. After application of the multivariate linear regression model, a significant positive relationship with the FAS was maintained only for education (p<0.001) and income (p<0.001). The negative relationship of age (p<0.001) and positive relationship of both education (p<0.001) and income (p<0.001and p=0.003) were evident on the CST and SVF. CONCLUSION: Educational level and income positively influenced participants' results on executive function tests, attenuating expected decline for age. However, no relationship was found between occupation and the cognitive variables investigated. Associação de Neurologia Cognitiva e do Comportamento 2017 /pmc/articles/PMC5619216/ /pubmed/29213495 http://dx.doi.org/10.1590/1980-57642016dn11-010010 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Campanholo, Kenia Repiso
Boa, Izadora Nogueira Fonte
Hodroj, Flávia Cristina da Silva Araujo
Guerra, Glaucia Rosana Benute
Miotto, Eliane Correa
de Lucia, Mara Cristina Souza
Impact of sociodemographic variables on executive functions
title Impact of sociodemographic variables on executive functions
title_full Impact of sociodemographic variables on executive functions
title_fullStr Impact of sociodemographic variables on executive functions
title_full_unstemmed Impact of sociodemographic variables on executive functions
title_short Impact of sociodemographic variables on executive functions
title_sort impact of sociodemographic variables on executive functions
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5619216/
https://www.ncbi.nlm.nih.gov/pubmed/29213495
http://dx.doi.org/10.1590/1980-57642016dn11-010010
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