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Physical activity in the older adults related to commuting and leisure, Maceió, Brazil

OBJECTIVE: To evaluate the level of physical activity of older adults by commuting and leisure time and associated factors. METHODS: This was a cross-sectional study carried out with a population-based sample of 319 older individuals in Maceió, AL, Northeastern Brazil, in 2009. The level of physical...

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Detalles Bibliográficos
Autores principales: Mourão, Ana Raquel de Carvalho, Novais, Francini Vilela, Andreoni, Solange, Ramos, Luiz Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4206094/
https://www.ncbi.nlm.nih.gov/pubmed/24626549
http://dx.doi.org/10.1590/S0034-8910.2013047004904
Descripción
Sumario:OBJECTIVE: To evaluate the level of physical activity of older adults by commuting and leisure time and associated factors. METHODS: This was a cross-sectional study carried out with a population-based sample of 319 older individuals in Maceió, AL, Northeastern Brazil, in 2009. The level of physical activity in leisure and commuting was measured by applying the International Physical Activity Questionnaire, long version. The variables analyzed were: age, schooling, sex, per capita income and perceived health. We used descriptive analysis, Fisher's exact test and multiple regression analysis of prevalence rates. RESULTS: We classified 87.5% as insufficiently active in commuting, being significantly higher among those individuals with older ages, with more education and who feel dissatisfied with their physical health. The prevalence of older people who are insufficiently active in leisure time activity was 76.2%, being more frequent in women, in men with advanced age; older adults with lower per capita income, and dissatisfaction with comparative physical health and self-perceived mental health. CONCLUSIONS: The prevalence of insufficiently active was high in commuting and leisure time activities. Factors such as age, gender and income should be considered, especially with regards leisure, in order to ensure fairness in the development of policies to promote health and physical activity in this population.