Prediction equation for the mini-mental state examination: influence of education, age, and sex
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFMG |
Texto Completo: | https://doi.org/10.1590/1809-2950/17030126012019 http://hdl.handle.net/1843/41171 http://orcid.org/0000-0002-2602-3433 http://orcid.org/0000-0002-9830-8913 http://orcid.org/0000-0003-0269-3456 http://orcid.org/0000-0001-5102-369X http://orcid.org/0000-0002-1027-7746 http://orcid.org/0000-0001-9047-7555 http://orcid.org/0000-0002-7658-8459 http://orcid.org/0000-0001-5763-6884 http://orcid.org/0000-0003-0374-9319 |
Resumo: | The mini-mental state examination (MMSE) is a screening test used worldwide for identifying changes in the scope of cognition. Studies have shown the influence of education, age and sex in the MMSE score. However, in Brazil, the studies consider only one factor to score it. The aim of this study was to establish a prediction equation for the MMSE. An exploratory cross-sectional study was developed and trained researchers examined participants at the community. The volunteers were evaluated by the MMSE and also by the Geriatric Depression Scale (GDS). The MMSE score was the dependent variable. Age, educational level, sex, and GDS score were the independent variables. Multivariate regression analysis was used to determine the model of best prediction value for MMSE scores. A total of 250 participants aged 20-99 years, without cognitive impairment, were assessed. The educational level, age, and sex explained 38% of the total variance of the MMSE score (p<0.0001) and resulted in the following equation: MMSE=23.350+0.265(years of schooling)-0.042(age)+1.323(sex), in which female=1 and male=2. The MMSE scores can be better explained and predicted when educational level, age, and sex are considered. These results enhance the knowledge regarding the variables that influence the MMSE score, as well as provide a way to consider all of them in the test score, providing a better screening of these patients. |
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2022-04-27T15:15:36Z2022-04-27T15:15:36Z2019-032613743https://doi.org/10.1590/1809-2950/170301260120192316-9117http://hdl.handle.net/1843/41171http://orcid.org/0000-0002-2602-3433http://orcid.org/0000-0002-9830-8913http://orcid.org/0000-0003-0269-3456http://orcid.org/0000-0001-5102-369Xhttp://orcid.org/0000-0002-1027-7746http://orcid.org/0000-0001-9047-7555http://orcid.org/0000-0002-7658-8459http://orcid.org/0000-0001-5763-6884http://orcid.org/0000-0003-0374-9319The mini-mental state examination (MMSE) is a screening test used worldwide for identifying changes in the scope of cognition. Studies have shown the influence of education, age and sex in the MMSE score. However, in Brazil, the studies consider only one factor to score it. The aim of this study was to establish a prediction equation for the MMSE. An exploratory cross-sectional study was developed and trained researchers examined participants at the community. The volunteers were evaluated by the MMSE and also by the Geriatric Depression Scale (GDS). The MMSE score was the dependent variable. Age, educational level, sex, and GDS score were the independent variables. Multivariate regression analysis was used to determine the model of best prediction value for MMSE scores. A total of 250 participants aged 20-99 years, without cognitive impairment, were assessed. The educational level, age, and sex explained 38% of the total variance of the MMSE score (p<0.0001) and resulted in the following equation: MMSE=23.350+0.265(years of schooling)-0.042(age)+1.323(sex), in which female=1 and male=2. The MMSE scores can be better explained and predicted when educational level, age, and sex are considered. These results enhance the knowledge regarding the variables that influence the MMSE score, as well as provide a way to consider all of them in the test score, providing a better screening of these patients.O mini-exame do estado mental (MEEM) é um teste de rastreio mundialmente utilizado para identificar alterações no âmbito da cognição. Estudos têm demonstrado a influência da educação, idade e gênero na pontuação do MEEM. No entanto, no Brasil, os estudos consideram apenas um fator para a pontuação no teste. O objetivo do estudo foi estabelecer uma equação preditiva para o MEEM. Um estudo transversal exploratório foi desenvolvido e examinadores treinados avaliaram participantes da comunidade. Os voluntários foram avaliados pelo MEEM e pela Escala de Depressão Geriátrica (EDG). A pontuação do MEEM foi a variável dependente. A idade, nível educacional, gênero e pontuação na EDG foram as variáveis independentes. A análise de regressão multivariada foi utilizada para determinar o modelo de melhor valor preditivo para os escores do MEEM. Foram avaliados 250 indivíduos entre 20 e 99 anos, sem comprometimento cognitivo. O nível educacional, a idade e o sexo explicaram 38% da variância total da pontuação do MEEM (p<0,0001) e resultaram na equação: MEEM=23,350+0,265(anos de escolaridade)-0,042(idade)+1,323(gênero), em que mulher=1 e homem=2. A pontuação do MEEM pode ser melhor explicada e predita quando o nível educacional, idade e gênero são considerados. Os resultados contribuem para o conhecimento sobre as variáveis que influenciam o escore do MEEM, bem como fornece uma maneira de considerá-las na pontuação do teste, proporcionando uma melhor triagem desses pacientes.engUniversidade Federal de Minas GeraisUFMGBrasilEEF - DEPARTAMENTO DE FISIOTERAPIAFisioterapia e PesquisaCogniçãoAvaliação geriátricaSaúde mentalExames médicosCognitionGeriatric AssessmentPrediction equation for the mini-mental state examination: influence of education, age, and sexinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.scielo.br/j/fp/a/cZJtZf6BtHbp7FKBdx3r64d/?lang=en#:~:text=The%20educational%20level%2C%20age%2C%20and,%3D1%20and%20male%3D2.Liliane Patrícia de Souza MendesFernanda Ferreira MaltaThaís de Oliveira EnnesGiane Amorim Ribeiro SamoraRosângela Corrêa DiasBianca Louise Carmona RochaMarina RodriguesLarissa Faria BorgesVerônica Franco Parreiraapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/41171/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALPrediction equation for the mini mental state examination.pdfPrediction equation for the mini mental state examination.pdfapplication/pdf174246https://repositorio.ufmg.br/bitstream/1843/41171/2/Prediction%20equation%20for%20the%20mini%20mental%20state%20examination.pdf9668f192b8fd2220060d449f10102e58MD521843/411712022-04-27 12:15:37.46oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2022-04-27T15:15:37Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.fl_str_mv |
Prediction equation for the mini-mental state examination: influence of education, age, and sex |
title |
Prediction equation for the mini-mental state examination: influence of education, age, and sex |
spellingShingle |
Prediction equation for the mini-mental state examination: influence of education, age, and sex Liliane Patrícia de Souza Mendes Cognition Geriatric Assessment Cognição Avaliação geriátrica Saúde mental Exames médicos |
title_short |
Prediction equation for the mini-mental state examination: influence of education, age, and sex |
title_full |
Prediction equation for the mini-mental state examination: influence of education, age, and sex |
title_fullStr |
Prediction equation for the mini-mental state examination: influence of education, age, and sex |
title_full_unstemmed |
Prediction equation for the mini-mental state examination: influence of education, age, and sex |
title_sort |
Prediction equation for the mini-mental state examination: influence of education, age, and sex |
author |
Liliane Patrícia de Souza Mendes |
author_facet |
Liliane Patrícia de Souza Mendes Fernanda Ferreira Malta Thaís de Oliveira Ennes Giane Amorim Ribeiro Samora Rosângela Corrêa Dias Bianca Louise Carmona Rocha Marina Rodrigues Larissa Faria Borges Verônica Franco Parreira |
author_role |
author |
author2 |
Fernanda Ferreira Malta Thaís de Oliveira Ennes Giane Amorim Ribeiro Samora Rosângela Corrêa Dias Bianca Louise Carmona Rocha Marina Rodrigues Larissa Faria Borges Verônica Franco Parreira |
author2_role |
author author author author author author author author |
dc.contributor.author.fl_str_mv |
Liliane Patrícia de Souza Mendes Fernanda Ferreira Malta Thaís de Oliveira Ennes Giane Amorim Ribeiro Samora Rosângela Corrêa Dias Bianca Louise Carmona Rocha Marina Rodrigues Larissa Faria Borges Verônica Franco Parreira |
dc.subject.por.fl_str_mv |
Cognition Geriatric Assessment |
topic |
Cognition Geriatric Assessment Cognição Avaliação geriátrica Saúde mental Exames médicos |
dc.subject.other.pt_BR.fl_str_mv |
Cognição Avaliação geriátrica Saúde mental Exames médicos |
description |
The mini-mental state examination (MMSE) is a screening test used worldwide for identifying changes in the scope of cognition. Studies have shown the influence of education, age and sex in the MMSE score. However, in Brazil, the studies consider only one factor to score it. The aim of this study was to establish a prediction equation for the MMSE. An exploratory cross-sectional study was developed and trained researchers examined participants at the community. The volunteers were evaluated by the MMSE and also by the Geriatric Depression Scale (GDS). The MMSE score was the dependent variable. Age, educational level, sex, and GDS score were the independent variables. Multivariate regression analysis was used to determine the model of best prediction value for MMSE scores. A total of 250 participants aged 20-99 years, without cognitive impairment, were assessed. The educational level, age, and sex explained 38% of the total variance of the MMSE score (p<0.0001) and resulted in the following equation: MMSE=23.350+0.265(years of schooling)-0.042(age)+1.323(sex), in which female=1 and male=2. The MMSE scores can be better explained and predicted when educational level, age, and sex are considered. These results enhance the knowledge regarding the variables that influence the MMSE score, as well as provide a way to consider all of them in the test score, providing a better screening of these patients. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019-03 |
dc.date.accessioned.fl_str_mv |
2022-04-27T15:15:36Z |
dc.date.available.fl_str_mv |
2022-04-27T15:15:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1843/41171 |
dc.identifier.doi.pt_BR.fl_str_mv |
https://doi.org/10.1590/1809-2950/17030126012019 |
dc.identifier.issn.pt_BR.fl_str_mv |
2316-9117 |
dc.identifier.orcid.pt_BR.fl_str_mv |
http://orcid.org/0000-0002-2602-3433 http://orcid.org/0000-0002-9830-8913 http://orcid.org/0000-0003-0269-3456 http://orcid.org/0000-0001-5102-369X http://orcid.org/0000-0002-1027-7746 http://orcid.org/0000-0001-9047-7555 http://orcid.org/0000-0002-7658-8459 http://orcid.org/0000-0001-5763-6884 http://orcid.org/0000-0003-0374-9319 |
url |
https://doi.org/10.1590/1809-2950/17030126012019 http://hdl.handle.net/1843/41171 http://orcid.org/0000-0002-2602-3433 http://orcid.org/0000-0002-9830-8913 http://orcid.org/0000-0003-0269-3456 http://orcid.org/0000-0001-5102-369X http://orcid.org/0000-0002-1027-7746 http://orcid.org/0000-0001-9047-7555 http://orcid.org/0000-0002-7658-8459 http://orcid.org/0000-0001-5763-6884 http://orcid.org/0000-0003-0374-9319 |
identifier_str_mv |
2316-9117 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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Fisioterapia e Pesquisa |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Universidade Federal de Minas Gerais |
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UFMG |
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Brasil |
dc.publisher.department.fl_str_mv |
EEF - DEPARTAMENTO DE FISIOTERAPIA |
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Universidade Federal de Minas Gerais |
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reponame:Repositório Institucional da UFMG instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
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Universidade Federal de Minas Gerais (UFMG) |
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UFMG |
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