| Full text | |
| Author(s): |
Átila Alexandre Trapé
[1]
;
Renato Francisco Rodrigues Marques
[2]
;
Elisângela Aparecida da Silva Lizzi
[3]
;
Fernando Eidi Yoshimura
[4]
;
Laercio Joel Franco
[5]
;
Anderson Saranz Zago
[6]
Total Authors: 6
|
| Affiliation: | [1] Universidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Departamento de Medicina Social - Brasil
[2] Universidade de São Paulo. Escola de Educação Física e Esporte de Ribeirão Preto - Brasil
[3] Universidade Tecnológica Federal do Paraná. Departamento de Matemática - Brasil
[4] Universidade de São Paulo. Escola de Educação Física e Esporte de Ribeirão Preto - Brasil
[5] Universidade de São Paulo. Faculdade de Medicina de Ribeirão Preto. Departamento de Medicina Social - Brasil
[6] Universidade Estadual Paulista. Departamento de Educação Física - Brasil
Total Affiliations: 6
|
| Document type: | Journal article |
| Source: | Revista Brasileira de Epidemiologia; v. 20, n. 2, p. 355-367, 2017-06-00. |
| Abstract | |
ABSTRACT: Objective: To investigate the association between both demographic and socioeconomic conditions with physical fitness and regular practice of physical exercises in participants of community projects, supervised by a physical education teacher. This enabled to investigate whether the adoption of an active lifestyle depends only on the personal choice or has any influence of socioeconomic factors. Methods: 213 individuals aged over 50 years joined the study, and provided information about their socioeconomic status (age, gender, education/years of study, and income); usual level of physical activity (ULPA); and physical fitness, by a physical battery tests which allowed the calculation of general functional fitness index (GFFI). Results: The generalized linear model showed that participants ranked in the highest GFFI groups (good and very good) had more years of study and higher income (p < 0.05). The multiple linear regression model complements the previous analysis, demonstrating the magnitude of the change in the GFFI in association with the years of study (group > 15), income (all groups) and age (p < 0.05). By means of analysis of variance, a difference between the groups was verified and longer practice of exercises (> 6 months) were also associated with education and income (p < 0.05); among the groups with exercise practice whether greater than or equal to six months, that supervised showed better results in the GFFI (p < 0.05). Conclusion: The association between variables strengthens the hypothesis that adherence and maintenance of physical exercise might not be only dependent of individual’s choice, but also the socioeconomic factors, which can influence the choice for any active lifestyle. (AU) | |