Services on Demand
- Cited by SciELO
- Access statistics
On-line version ISSN 1518-8787Print version ISSN 0034-8910
Rev. Saúde Pública vol.43 suppl.2 São Paulo Nov. 2009
Práctica de actividades físicas y factores asociados en adultos, Brasil, 2006
Alex Antonio FlorindoI, II; Pedro Curi HallalIII; Erly Catarina de MouraII, IV; Deborah Carvalho MaltaIV, V
de Artes, Ciências e Humanidades. Universidade de São Paulo (USP).
São Paulo, SP, Brasil
IINúcleo de Pesquisas Epidemiológicas em Nutrição e Saúde. USP. São Paulo, SP, Brasil
IIIDepartamento de Ginástica e Saúde. Escola Superior de Educação Física. Universidade Federal de Pelotas. Pelotas, RS, Brasil
IVCoordenação Geral de Doenças Crônicas não Transmissíveis. Secretaria de Vigilância em Saúde. Ministério da Saúde, Brasília, DF, Brasil
VDepartamento de Enfermagem Materno-Infantil e Saúde Pública. Escola de Enfermagem. Universidade Federal de Minas Gerais. Belo Horizonte, MG, Brasil
To estimate the prevalence of physical activity practice in adults and its association
with sociodemographic and environmental factors.
METHODS: Data from the Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (VIGITEL - Telephone-based Surveillance of Risk and Protective Factors for Chronic Diseases) were collected in 2006. All the 54,369 adults interviewed lived in households with a fixed telephone line, in the Brazilian state capitals and Federal District. Physical activity practice was considered in the leisure-time, occupational, transportation and household domains. Variables studied included sociodemographic characteristics of individuals and environmental characteristics of cities. Association with physical activities was analyzed according to sex.
RESULTS: Proportions of active individuals were 14.8% for leisure time, 38.2% for occupation, 11.7% for transportation, and 48.5% for household chores. Indices above 60% of inactive individuals in the leisure-time domain were observed in ten capitals. Men were more active than women in all domains, except for household chores. The proportion of active individuals decreased with age. Level of education was directly associated with physical activity in leisure time. Active men in the transportation domain were more likely to be active in their leisure time, while inactive people in the occupational domain were more likely to be active in their leisure time. The existence of places to perform physical activities near the home was associated with physical activity in leisure time.
CONCLUSIONS: Results obtained are important to monitor physical activity levels in Brazil. Differences between men and women and those in age groups and levels of education must be considered to promote physical activities. Promotion of physical activities in the leisure and transportation domains and in places that are adequate for physical activity practice and near the home should be encouraged.
Descriptors: Socioeconomic Factors. Chronic Disease, prevention & control. Health Surveys. Brazil. Physical Activities. Telephone interview.
Estimar la prevalencia de la práctica de actividades físicas por
adultos y su asociación con factores sociodemográficos y ambientales.
MÉTODOS: Fueron utilizados datos del Sistema de Vigilancia de Factores de Riesgo y Protección para Enfermedades Crónicas por Pesquisa Telefónica colectados en 2006. Los 54.369 adultos entrevistados residían en domicilios con línea telefónica fija en las capitales brasileras y Distrito Federal. La práctica de actividades físicas fue considerada en los dominios del ocio, trabajo, actividad doméstica y desplazamiento. Las variables estudiadas incluyeron características sociodemográficas de los individuos y ambientales de las ciudades; la asociación con las actividades físicas fue analizada según sexo.
RESULTADOS: Las proporciones de individuos activos fueron de 14,8% en el ocio, 38,2% en el trabajo, 11,7% en el desplazamiento y 48,5% en las actividades domésticas. Índices superiores a 60% de inactivos en el ocio fueron observados en diez capitales. Los hombres fueron más activos que las mujeres en todos los dominios, excepto en las actividades domésticas. La proporción de individuos activos disminuyó con el aumento de la edad. La escolaridad se asoció directamente con la actividad física en el ocio. Los hombres activos en el desplazamiento tuvieron mayor chance de ser activos en el ocio, mientras que las personas inactivas en el trabajo tuvieron mayor chance de ser activas en el ocio. La existencia de local para practicar actividades físicas próximo a la residencia se asoció a la actividad física en el ocio.
CONCLUSIONES: Los resultados obtenidos son importantes para el monitoreo de los niveles de actividades físicas en Brasil. Para la promoción de las actividades físicas, se debe considerar las diferencias entre hombres y mujeres, las diferencias en los grupos etarios y en los niveles de escolaridad. Se debe invertir principalmente en la promoción de las actividades físicas en el ocio y como forma de desplazamiento y en locales adecuados para la práctica próximos a las residencias.
The new paradigms of relationships between physical activities and health show that the assessment practices in the leisure-time, occupational, transportation and household domains is fundamental. Pate et al (1995)18 summed up the strength of all the evidence published in the last 50 years and showed the importance of the practice of physical activities in these four domains to prevent diseases and improve people's quality of life.
The practice of physical activities according to domains is little studied. Leisure is the most frequently studied domain, with higher frequency in epidemiological surveys, both in high-income countries1,3,5,12,13,17 and middle- or low-income ones.2,11,14,19,22,23 However, other types of physical activities, in addition to leisure-time ones, are important, especially in middle- and low-income countries, due to certain social characteristics.10
The aim of the present study was to describe the practice of physical activities of adults in the leisure-time, occupational, transportation and household domains and its association with sociodemographic and environmental factors.
Cross-sectional study using data collected from the Telephone-based Surveillance of Risk and Protective Factors of Chronic Diseases (VIGITEL),16 implemented in 2006 by the Ministry of Health. VIGITEL included the assessment of four domains in all Brazilian state capitals and the Federal District.
A total of 54,369 interviews were conducted by VIGITEL with adults (>18 years) living in households with a fixed telephone line, in 26 state capitals and the Federal District, in 2006. The probability sample used in this study was based on records from fixed telephone companies (minimum of two thousand adults per city).16
VIGITEL's response rate was 71.1%, varying from 64.4% to 81.0%; the refusal rate was 9.1%, varying from 5.4% to 15.0%.
The entire 2006 VIGITEL sampling process detailing and data collection was described by Moura et al16 (2008).
The practice of physical activities was assessed according to the domains: leisure-time (practice of one category of sport/physical exercise, describing its intensity and type, as well as its weekly frequency and daily length), occupational (carrying weight or walking for a long time), transportation (going to and coming back from work on foot or by bicycle) and household chores (light or heavy household cleaning). Individuals were classified as active in leisure time when reporting physical activities of moderate intensity for at least 30 minutes, for five or more days a week, or activities of vigorous intensity for at least 20 minutes, for three or more days a week. An activity is considered moderate intensity when it involves energy expenditure equivalent to three to six times the resting value, and vigorous intensity, when equivalent to at least six times the resting value. Individuals were considered active at work when they reported carrying weight or heavy load, or when walking for a long time at work.
For the transportation domain, active individuals were those who reported going to and coming back from work on foot or by bicycle for at least 30 minutes a day. For household chores, individuals were considered active when they reported being responsible for most of the heavy household cleaning.
Reproducibility of VIGITEL questions about physical activity is high (kappa coefficient of 0.80 and 0.78 for active individuals in the leisure-time domain and inactive ones in the four domains, respectively).15 VIGITEL questionnaire validity, compared to 24-hour recalls of physical activities, showed specificity between 80.5% and 86.5% and sensitivity between 50.0% and 59.1% for active individuals in the leisure-time domain and inactive ones in the four domains, respectively. Mean number of minutes per week of physical activities practiced in leisure time from the 24-hour recall method was higher in individuals considered active than in those considered inactive in leisure time from VIGITEL. Mean number of minutes per week of physical activities in the four domains (leisure-time, occupational, household and transportation), as measured by the recall method, was lower in individuals considered inactive in the four domains than in the remaining ones assessed by VIGITEL.15
Demographic and socioeconomic characteristics considered were as follows: age, sex, marital status, skin color, level of education, number of people and rooms in the household, number of adults and number of fixed telephone lines in the household.
Environmental variables for physical activity practice were related to the presence of places to walk and practice physical exercises close to the home, such as public or private clubs, gyms, squares, streets, parks and schools.
Prevalence of inactive individuals in the leisure-time domain was calculated based on individuals who did not practice any physical activity in leisure time or who practiced it less than once a week in the three months preceding the interview. Prevalence of active individuals for each domain was calculated for the total sample and for the sex, age and level of education sub-groups. Prevalence of active individuals in leisure time was assessed according to the presence and type of place for physical activity close to the home. Crude and adjusted prevalence ratios were calculated for level of education and age for active individuals in leisure time.
Weighting factors attributed to each individual interviewed by VIGITEL were considered for all estimates, according to Moura et al (2008).16 To achieve this, the following were considered: the ratio of the number of adults and that of fixed telephone lines in each household; the relative percentage of a certain category (sex, age and level of education) in relation to the 2000 census distribution; and the sampling fraction of adults studied from the total number of adults living in each city in the 2000 census.
SPSS 15.0 and Stata 9.0 were used in all analyses.
As interviews were conducted by telephone, the informed consent form was replaced by verbal consent obtained during telephone contacts with interviewees. VIGITEL was approved by the Comissão de Ética em Pesquisa em Seres Humanos do Ministério da Saúde (Ministry of Health Human Research Ethics Committee).
Prevalence of inactive individuals in leisure time was higher than 60% in ten cities (Table 1).
Table 2 shows the prevalence of active individuals according to the sex, age and level of education domains. Men were more active than women in the leisure-time, occupational and transportation domains, and women were more active in heavy household cleaning. Young adults aged between 18 and 24 years and adults between 45 and 65 years were more active in leisure time than those aged between 25 and 44 years and those aged 65 years or older. Adults aged between 18 and 44 years practiced more physical activity at work. Physical activity practice in transportation was more frequent in adults aged up to 54 years, decreasing after this age. Household chore domain was more prevalent in adults aged between 25 and 64 years. Individuals with 12 or more years of schooling were more active in the leisure-time domain and less active at work, in transportation and in heavy household cleaning. In general, 76% of the adult population was active in at least one of the domains, and this percentage was higher in women, and lower in older individuals (> 65 years) and those with higher level of education (> 12 years of schooling). Of all active individuals, 61.1% are active in only one domain, 29.5% in two, 8.5% in three, and 0.8% in four domains.
Table 3 shows the prevalence of active individuals in leisure time, according to the practice of physical activities in the other domains. Prevalence of active individuals in leisure time was more frequent in those active in transportation, whereas there was an inversion for the other physical activity domains.
The presence of a place close to the home for leisure time activities increased this practice in both sexes, in all age groups and levels of education. The frequency of physical activity in leisure time was always higher in men, regardless of age and level of education (Table 4). After adjusting for age and level of education, the probability of being active in leisure time was approximately 1.7 times higher in men and 1.6 times in women who live close to an adequate place for physical activity, regardless of this being public or private (Table 5).
Practice of physical activities in the occupational domain was inversely associated with physical activity in leisure time, whereas physical activities in the transportation domain were positively associated with physical activity in leisure time in men. After adjustment for age and level of education, the probability of being active in leisure time among those considered inactive at work was 1.2 times higher for men and women. For men who had been categorized as active in transportation, the probability of being active in leisure time was 1.3 times higher.
This is the first population-based epidemiological study in Brazil that assessed different domains of physical activity separately. In addition, it is part of the baseline for future studies that monitor physical activity trends in Brazil by VIGITEL, which should be maintained in the next years.16
Men were more active in the leisure-time, occupational and transportation domains, whereas women were more active in heavy household cleaning. The older an individual is, especially from 55 years onwards, the lower the physical activity levels in all domains are. People with a higher level of education were more active in leisure time and more inactive at work, transportation and heavy household cleaning. People who were inactive at work were more active in leisure time, while active men in transportation were more active in leisure time. The presence of an adequate place for physical activity close to the home was associated with physical activity practice in leisure time.
Prevalence of physical activity in the domains increased in the following order: transportation, leisure-time, occupational and household domains. A similar pattern was observed for adults in the city of São Paulo, Southeastern Brazil, based on the application of the International Physical Activity Questionnaire (long IPAQ version).6 The authors used the cut-off point of 150 minutes of physical activities in each domain and found prevalences of 8.3% of active individuals in transportation, 22.5% in leisure time, 31.1% at work, and 43.3% in household chores.
Surveys conducted in middle- and low-income countries, such as Brazil, Peru, Mexico, Albania and Baltic countries, showed that, in the leisure-time domain, the frequency of insufficiently active adults is higher than 50%.2,11,14,19,22,23 In high-income countries, such as the United States, Germany, England and Australia, prevalences varied between 25% and 62%.1,3,5,6,12,17,21
A Behavioral Risk Factors Surveillance System (BRFSS) survey conducted in 2006, with a sample of 50 U.S. states, in addition to the District of Columbia, Virgin Islands and Puerto Rico, showed prevalences of physical inactivity in leisure time between 14.2% and 41.2%;12 thus, lower than those found in all Brazilian state capitals and the Federal District.
The differences observed between men and women in the leisure-time domain were similar to those observed by Monteiro et al (2003),14 in a representative sample of the Southeast and Northeast regions, and by Dias-da-Costa et al (2005),2 in a sample of adults in Southern Brazil. Most of the literature of high-income countries, such as the United States, Australia and England, and middle- and low-income countries, such as Peru and the Baltic countries, confirmed that men are more active in leisure time than women.5,17,19,22
In the present study, men were also more active than women in transportation activities, although the frequency of active women in household chores was three times higher than that of men. Likewise, Florindo et al (2009)6 showed that men were more active in leisure time, at work and in transportation, while household chores significantly increased the physical activity level in women.
The present study showed a reduction in physical activity practice in the occupational and transportation domains from the age of 55 years onwards, and in the leisure-time and heavy household cleaning domains from 65 years onwards. Studies in Brazil,2,14 Spain,3 Germany,21 Baltic countries19 and Australia17 showed a reduction in physical activity practice in leisure time with age. The same pattern was found for physical activity at work in Australia,20 Albania23 and the United States,1 and for physical activity in the four domains in Brazil,6 Colombia8 and other 51 middle- and low-income countries.9
The positive association between level of education and physical activity practice in leisure time has been observed in Brazil2,14 and in countries such as Peru,22 Baltic countries,19 Mexico11 and in high-income countries as well.1,3,5,20 In the present study, activities performed at work, in transportation and heavy household cleaning were those that most contributed for the physical activity level in individuals with lower level of education. In a study with North American women with low level of education, higher inactivity in leisure time and higher physical activity at work and in household chores were observed.24 In the city of São Paulo, the higher the level of education, the more active individuals were in leisure time and the less active they were at work and in household chores.6 In the city of Pelotas, Southern Brazil, Hallal et al (2003)10 showed a linear trend of protection against complete physical inactivity as economic conditions decreased, i.e. poorer individuals were more protected against complete physical inactivity.
The relationship between physical activities in leisure time and other types of physical activity is still controversial. In the present study, higher prevalence of active individuals in leisure time was found in men who were active in transportation. Inverse association was found between active individuals at work and practice of physical activities in leisure time in both sexes. A study with North American adults (National Health and Nutrition Examination Survey - NHANES, 1999-2000)25 showed positive association between physical activities at work and in leisure time, especially among men.
In a study with young adults aged between 18 and 29 years in Colombia,7 it was observed that the practices of both walking and cycling as a way of transportation were associated with the practice of physical activities in leisure time, results which were confirmed in the present study. Such positive association is relevant for public health, once the joint promotion of these two domains is feasible to establish future interventions.
From the point of view of public policies, observing that places suitable for the practice of physical activities close to the home significantly contribute to this practice is an important finding to subsidize the planning of actions that encourage these practices in leisure time. In a meta-analysis study on perceived environment and physical activity, there was a positive association between the presence of facilities for physical activities and their practice.4 Another study with adults showed that places for recreation which are up to 1,500 meters away from homes are positively associated with the practice of physical activities in leisure time.13
The main limitation to this study is similar to that to the entire telephone-based surveillance system and refers to the exclusion of individuals who reside in households without a fixed telephone line. According to Moura et al (2008),16 although having increased in the last years, fixed telephone network coverage is not universal; it can be low in less developed cities and in strata with lower socioeconomic level.
Results from the present study are important to monitor physical activity levels in Brazil from 2006 onwards and to understand the behavior of different physical activity domains, according to sociodemographic and environmental characteristics. Interventions to promote physical activities deserve to be prioritized in public health in Brazil. More than 300 cities include physical activity promotion interventions and healthy diet promotion by the Ministry of Health. Such initiative, in addition to large-scale interventions existing in this country, can contribute to promote healthier lifestyles for the Brazilian population.
1. Crespo CJ, Smit E, Andersen RE, Carter-Pokras O, Ainsworth BE. Race/ethnicity, social class and their relation to physical inactivity during leisure time: results from the Third National Health and Nutrition Examination Survey, 1988-1994. Am J Prev Med. 2000;18(1):46-53. DOI:10.1016/S0749-3797(99)00105-1 [ Links ]
2. Dias-da-Costa JS, Hallal PC, Wells JCK, Daltoé T, Fuchs SC, Menezes AM, et al. Epidemiology of leisure-time physical activity: a population-based study in southern Brazil. Cad Saude Publica. 2005;21(1):275-82. DOI:10.1590/S0102-311X2005000100030 [ Links ]
3. Domínguez-Berjón MF, Borrell C, Nebot M, Plasència A. Leisure time physical activity and its association with demographic variables and other behaviors related with health. Gac Sanit. 1998;12(3):100-9. [ Links ]
4. Duncan MJ, Spence JC, Mummery WK. Perceived environment and physical activity: a meta-analysis of selected environmental characteristics. Int J Behav Nutr Phys Act. 2005;2:11. DOI:10.1186/1479-5868-2-11 [ Links ]
5. Eaton CB, Reynes J, Assaf AR, Feldman H, Lasater T, Carleton RA. Predicting physical activity change in men and women in two New England communities. Am J Prev Med. 1993;9(4):209-19. [ Links ]
6. Florindo AA, Guimarães VV, Cesar CLG, Barros MBA, Alves MCGP, Goldbaum M, et al. Epidemiology of leisure, transportation, occupational and household physical activity: prevalence and associated factors. J Phys Act Health. 2009;6:625-32 . [ Links ]
7. Gómez LF, Sarmiento OL, Lucumí DI, Espinosa G, Forero R, Bauman A. Prevalence and factors associated with walking and bicycling for transport among young adults in two low-income localities of Bogotá, Colombia. J Phys Act Health. 2005;2(4):445-59. [ Links ]
8. Gómez LF, Duperly J, Lucumí DI, Gámez R, Venegas AS. Physical activity levels in adults living in Bogota (Colombia): prevalence and associated factors. Gac Sanit. 2005;19(3):206-13. DOI:10.1157/13075953 [ Links ]
9. Guthold R, Ono T, Strong KL, Chatterji S, Morabia A. Worldwide variability in physical inactivity a 51-country survey. Am J Prev Med. 2008;34(6):486-94. DOI:10.1016/j.amepre.2008.02.013 [ Links ]
10. Hallal PC, Victora CG, Wells JC, Lima RC. Physical inactivity: prevalence and associated variables in Brazilian adults. Med Sci Sports Exerc. 2003;35(11):1894-900. DOI:10.1249/01.MSS.0000093615.33774.0E [ Links ]
11. Hernández B, de Haene J, Barquera S, Monterrubio E, Rivera J, Shamah T, et al. Factors associated with physical activity among Mexican women of childbearing age. Rev Panam Salud Publica. 2003;14(4):235-45. [ Links ]
12. Kilmer G, Roberts H, Hughes E, Li Y, Valluru B, Fan A, et al. Surveillance of Certain Health Behaviors and Conditions Among States and Selected Local Areas - Behavioral Risk Factor Surveillance System (BRFSS), United States, 2006. MMWR Surveill Summ. 2008;57(7):1-188. [ Links ]
13. McCormack GR, Giles-Corti B, Bulsara M. The relationship between destination proximity, destination mix and physical activity behaviors. Prev Med. 2008;46(1):33-40. DOI:10.1016/j.ypmed.2007.01.013 [ Links ]
14. Monteiro CA, Conde WL, Matsudo SM, Matsudo VR, Bonsenõr IM, Lotufo PA. A descriptive epidemiology of leisure-time physical activity in Brazil, 1996-1997. Rev Panam Salud Publica. 2003;14(4):246-54. DOI:10.1590/S1020-49892003000900005 [ Links ]
15. Monteiro CA, Florindo AA, Claro R, Moura EC. Validade de indicadores de atividade física e sedentarismo obtidos por inquérito telefônico. Rev Saude Publica 2008;42(4):575-81. DOI:10.1590/S0034-89102008000400001 [ Links ]
16. Moura EC, Morais Neto OL, Malta DC, Moura L, Silva NN, Bernal R; Claro RM, Monteiro CA. Vigilância de fatores de risco para doenças crônicas por inquérito telefônico nas capitais dos 26 estados brasileiros e no Distrito Federal (2006). Rev Bras Epidemiol. 2008:11(Supl1):20-37. DOI:10.1590/S1415-790X2008000500003 [ Links ]
17. Owen N, Bauman A. The descriptive epidemiology of a sedentary lifestyle in adult Australians. Int J Epidemiol. 1992;21(2):305-10. DOI:10.1093/ije/21.2.305 [ Links ]
18. Pate RR, Pratt M, Blair SN, Haskell WL, Macera CA, Bouchard C, et al. Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. Jama. 1995;273(5):402-7. DOI:10.1001/jama.273.5.402 [ Links ]
19. Pomerleau J, McKee M, Robertson A, Vaasc S, Kadziauskiene K, Abaravicius A, et al. Physical inactivity in the Baltic countries. Prev Med. 2000;31(6):665-72. DOI:10.1006/pmed.2000.0761 [ Links ]
20. Salmon J, Owen N, Bauman A, Schmitz MK, Booth M. Leisure-time, occupational, and household physical activity among professional, skilled, and less-skilled workers and homemakers. Prev Med. 2000;30(3):191-9. DOI:10.1006/pmed.1999.0619 [ Links ]
21. Schneider S, Becker S. Prevalence of physical activity among the working population and correlation with work-related factors: results from the first German National Health Survey. J Occup Health. 2005;47(5):414-23. DOI:10.1539/joh.47.414 [ Links ]
22. Seclén-Palacín JA, Jacoby ER. Sociodemographic and environmental factors associated with sports physical activity in the urban population of Peru. Rev Panam Salud Publica. 2003;14(4):255-64. [ Links ]
23. Shapo L, Pomerleau J, McKee M. Physical inactivity in a country in transition: a population-based survey in Tirana City, Albania. Scand J Public Health. 2004;32(1):60-7. DOI:10.1080/14034940310011801 [ Links ]
24. Sternfeld B, Ainsworth BE, Quesenberry CP. Physical activity patterns in a diverse population of women. Prev Med. 1999;28(3):313-23. DOI:10.1006/pmed.1998.0470 [ Links ]
25. Wolin KY, Bennett GG. Interrelations of socioeconomic position and occupational and leisure-time physical activity in the National Health and Nutrition Examination Survey. J Phys Act Health. 2008;5(2):229-41. [ Links ]
Correspondence: Received: 11/28/2008 This article underwent
the peer review process adopted for any other manuscript submitted to this journal,
with anonymity guaranteed for both authors and reviewers. Editors and reviewers
declare that there are no conflicts of interest that could affect their judgment
with respect to this article.
Alex Antonio Florindo
Escola de Artes, Ciências e Humanidades
Universidade de São Paulo
R. Arlindo Béttio, 1.000
03828-000 São Paulo, SP, Brasil
The authors declare that there are no conflicts of interest.
This article underwent
the peer review process adopted for any other manuscript submitted to this journal,
with anonymity guaranteed for both authors and reviewers. Editors and reviewers
declare that there are no conflicts of interest that could affect their judgment
with respect to this article.