Factors associated with mobility of the oldest old

Abstract Introduction: Several factors can be associated to the reduction of mobility among the elderly. Early identification of these factors is crucial, since it may lead to prevention of functional dependencies. Objective: To analyze the association between mobility, sociodemographic factors...

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Main Authors: Vanessa Ribeiro dos Santos, Diego Giulliano Destro Christofaro, Igor Conterato Gomes, Ismael Forte Freitas Júnior, Luís Alberto Gobbo
Format: Article
Language:English
Published: Editora Champagnat
Series:Fisioterapia em Movimento
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-51502017000100069&lng=en&tlng=en
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author Vanessa Ribeiro dos Santos
Diego Giulliano Destro Christofaro
Igor Conterato Gomes
Ismael Forte Freitas Júnior
Luís Alberto Gobbo
author_facet Vanessa Ribeiro dos Santos
Diego Giulliano Destro Christofaro
Igor Conterato Gomes
Ismael Forte Freitas Júnior
Luís Alberto Gobbo
author_sort Vanessa Ribeiro dos Santos
collection DOAJ
description Abstract Introduction: Several factors can be associated to the reduction of mobility among the elderly. Early identification of these factors is crucial, since it may lead to prevention of functional dependencies. Objective: To analyze the association between mobility, sociodemographic factors and the prevalence of noncommunicable chronic diseases (NCDs) in oldest old. Methods: The sample consisted of 120 elderly persons aged (80 and 95 years), with 76 of them being women (83 ± 3 years) and 44 of them men (83 ± 3 years). Sociodemographic factors and NCDs which we studied were: age, gender, marital status, education, nutritional status, ethnicity, hypertension, diabetes and osteoarticular diseases. Mobility was analyzed using a battery of Physical Performance Tests. For statistical analysis we used the chi-square test and binary logistic regression to examine the relationship between sociodemographic factors, NCDs and mobility. SPSS (17.0) software was used for this and the significance level was set at 5%. Results: Level of education (p ≤ 0.001) and age (p = 0.034) are the two factors related to low mobility. However, the model built by multiple logistic regression analysis revealed that age is independently related to limited mobility in oldest old people (OR 3.29; 95% CI 1.09 to 9.87). Conclusion: Thus, oldest old >85 years are at a greater risk of decreased mobility independent of their education, marital and nutritional statuses and gender. We encourage further studies in this area. Studies which will not only address those facts considered in this study but that also examine family-related aspects, especially using longitudinal studies.
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spelling doaj.art-1c8b43f4e6f64681a42bc33e698402892022-12-22T02:11:16ZengEditora ChampagnatFisioterapia em Movimento1980-5918301697610.1590/1980-5918.030.001.ao07S0103-51502017000100069Factors associated with mobility of the oldest oldVanessa Ribeiro dos SantosDiego Giulliano Destro ChristofaroIgor Conterato GomesIsmael Forte Freitas JúniorLuís Alberto GobboAbstract Introduction: Several factors can be associated to the reduction of mobility among the elderly. Early identification of these factors is crucial, since it may lead to prevention of functional dependencies. Objective: To analyze the association between mobility, sociodemographic factors and the prevalence of noncommunicable chronic diseases (NCDs) in oldest old. Methods: The sample consisted of 120 elderly persons aged (80 and 95 years), with 76 of them being women (83 ± 3 years) and 44 of them men (83 ± 3 years). Sociodemographic factors and NCDs which we studied were: age, gender, marital status, education, nutritional status, ethnicity, hypertension, diabetes and osteoarticular diseases. Mobility was analyzed using a battery of Physical Performance Tests. For statistical analysis we used the chi-square test and binary logistic regression to examine the relationship between sociodemographic factors, NCDs and mobility. SPSS (17.0) software was used for this and the significance level was set at 5%. Results: Level of education (p ≤ 0.001) and age (p = 0.034) are the two factors related to low mobility. However, the model built by multiple logistic regression analysis revealed that age is independently related to limited mobility in oldest old people (OR 3.29; 95% CI 1.09 to 9.87). Conclusion: Thus, oldest old >85 years are at a greater risk of decreased mobility independent of their education, marital and nutritional statuses and gender. We encourage further studies in this area. Studies which will not only address those facts considered in this study but that also examine family-related aspects, especially using longitudinal studies.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-51502017000100069&lng=en&tlng=enLimitação da MobilidadeIndicadores DemográficosDoença CrônicaIdoso de 80 Anos ou mais
spellingShingle Vanessa Ribeiro dos Santos
Diego Giulliano Destro Christofaro
Igor Conterato Gomes
Ismael Forte Freitas Júnior
Luís Alberto Gobbo
Factors associated with mobility of the oldest old
Fisioterapia em Movimento
Limitação da Mobilidade
Indicadores Demográficos
Doença Crônica
Idoso de 80 Anos ou mais
title Factors associated with mobility of the oldest old
title_full Factors associated with mobility of the oldest old
title_fullStr Factors associated with mobility of the oldest old
title_full_unstemmed Factors associated with mobility of the oldest old
title_short Factors associated with mobility of the oldest old
title_sort factors associated with mobility of the oldest old
topic Limitação da Mobilidade
Indicadores Demográficos
Doença Crônica
Idoso de 80 Anos ou mais
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-51502017000100069&lng=en&tlng=en
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