SciELO - Scientific Electronic Library Online

 
vol.42 suppl.2Nutritional evaluation follow-up of the 1982 birth cohort, Pelotas, Southern BrazilSmoking prevalence in the 1982 birth cohort: from adolescence to adult life, Pelotas, Southern Brazil author indexsubject indexarticles search
Home Page  

Services on Demand

Article

Indicators

Related links

Share


Revista de Saúde Pública

Print version ISSN 0034-8910

Rev. Saúde Pública vol.42  suppl.2 São Paulo Dec. 2008

http://dx.doi.org/10.1590/S0034-89102008000900010 

ORIGINAL ARTICLES

 

Factors associated to leisure-time sedentary lifestyle in adults of 1982 birth cohort, Pelotas, Southern Brazil

 

Factores asociados al sedentarismo en el tiempo de ocio de adultos en la cohorte de nacimientos de 1982, Pelotas, Sur de Brasil

 

 

Mario R AzevedoI; Bernardo L HortaI; Denise P GiganteI; Cesar G VictoraI; Fernando C BarrosII

IPrograma de Pós-Graduação em Epidemiologia. Universidade Federal de Pelotas. Pelotas, RS, Brasil
IIPrograma de Pós-Graduação em Saúde e Comportamento. Universidade Católica de Pelotas. Pelotas, RS, Brasil

Correspondence

 

 


ABSTRACT

OBJECTIVE: To assess factors associated to leisure-time physical activity and sedentary lifestyle.
METHODS: Prospective cohort study of people born in 1982 in the city of Pelotas, southern Brazil. Data were collected at birth and during in a visit in 2004-5 when 77.4% of the cohort were evaluated, making a total of 4,297 people studied. Information about leisure-time physical activity was collected using the International Physical Activity Questionnaire. Sedentary people were defined as those with weekly physical activity below 150 minutes. The following independent variables were studied: gender, skin color, birth weight, family income at birth and income change between birth and 23 years of age. Poisson's regression with robust adjustment of variance was used for the assessment of risk factors of sedentary lifestyle.
RESULTS: Men reported 334 min of weekly leisure-time physical activity compared to 112 min among women. The prevalence of sedentary lifestyle was 80.6% in women and 49.2% in men. Scores of physical activity increased as income at birth increased. Those who were currently poor or who became poor during adult life were more sedentary.
CONCLUSIONS: Leisure-time sedentary lifestyle in young adults was high especially among women. Physical activity during leisure time is determined by current socioeconomic conditions.

Descriptors: Leisure Activities. Exercise. Socioeconomic Factors. Cohort Studies. Brazil.


RESUMEN

OBJETIVO: Analizar factores relacionados con la práctica de actividad física y al sedentarismo en el tiempo de ocio.
MÉTODOS: Estudio prospectivo de cohorte de los nacidos en 1982 en la ciudad de Pelotas (Sur de Brasil). Los datos fueron colectados en el nacimiento y en la visita en 2004-5, en la cual fueron evaluados 77,4% de los individuos de la cohorte, totalizando 4.297. Informaciones sobre la práctica de actividades físicas, en el período de tiempo de ocio, fueron obtenidas por medio de Cuestionario Internacional de Actividades Físicas. Fueron considerados sedentarios los individuos con tiempo de práctica de actividad física semanal inferior a 150 min. Fueron consideradas variables independientes: sexo, color de la piel, peso al nacer, renta familiar en el año de nacimiento y mudanza de renta entre el nacimiento y los 23 años. La regresión de Poisson con ajuste robusto de la varianza fue utilizada en la evaluación de los factores de riesgo para el sedentarismo.
RESULTADOS: Los hombres relataron 334 min de tiempo de actividades físicas en el período de ocio por semana versus 112 min entre las mujeres. La prevalencia de sedentarismo fue de 80,6% entre las mujeres y 49,2% entre los hombres. Se observó tendencia de aumento de tiempo de actividades físicas conforme aumentó la renta al nacer. Individuos actualmente pobres o que se tornaron pobres en la edad adulta fueron más sedentarios.
CONCLUSIONES: El sedentarismo en el período de ocio entre adultos jóvenes se mostró elevado, principalmente en el sexo femenino. La actividad física en el tiempo de ocio es determinada por las condiciones socioeconómicas actuales.

Descriptores: Actividades Recreativas. Ejercicio. Factores Socioeconómicos. Estudios de Cohortes. Brasil.


 

 

INTRODUCTION

Physical activity is vital for the prevention and treatment of conditions such as hypertension, ischemic heart disease, diabetes, depression, and some cancers, among others.5 But the prevalence of sedentary lifestyle in the general population is high11 especially during leisure time.1,7,20 The comparability of prevalences of sedentary lifestyle in different studies is hindered due to the application of widely varied instruments and definition criteria.16 Recent studies have suggested that exposures during pregnancy or in the first years of life may be associated to the development of chronic diseases.3,15,19 However, few studies have evaluated whether physical activity can be programmed by exposures in the first years of life.

Hallal et al13 found that the prevalence of sedentary lifestyle in children aged ten to 12 was higher among those with higher family income at birth and higher maternal schooling. They did not find an association between sedentary lifestyle and birth weight or weight gain in the first year of life.13 Bearing in mind the relevance of identifying determinants of sedentary lifestyle, the objective of the present study was to assess factors associated to leisure-time physical activity and sedentary lifestyle.

 

METHODS

Prospective cohort study of people born in 1982 carried out in the city of Pelotas, southern Brazil. The cohort methods are detailed elsewhere.2,23,24 In the follow-up period during 2004-5, leisure-time physical activity was assessed using the International Physical Activity Questionnaire (IPAQ, long version).6 Trained interviewers administered the questionnaire to collect information on different health-related aspects such as weekly frequency of physical activity and average duration of walking and other physical activity, either moderate or vigorous, during a regular week.

Weekly scores of physical activity were estimated by the sum of time reported of walking, moderate physical activity (e.g., recreational sports and biking) and the time spent on vigorous activities multiplied by two (competition sports and running). Those showing a weekly score of less than 150 minutes were considered sedentary based on current recommendations of physical activity.10,14

The mothers of the children studied were interviewed right after delivery and information on family income and birth weight, among others, was collected. Based on family income during 2004-5, it was possible to estimate income change over the study period. The skin color was self-referred by interviewees in 2004-5.

The sample was described as proportions and means. Bivariate analysis was performed using chi-square test to assess heterogeneity and linear trend of ordinal variables. Poisson's regression with robust adjustment for variance was used to assess risk factors of sedentary lifestyle.4 In the adjusted analysis, the variables at the first level - skin color and family income in 1982 - were adjusted for and included in the model if p<0.2. Income change was adjusted for skin color and birth weight was adjusted for the variables at the first level.

Verbal informed consent was obtained from the children's parents or guardians during the study period 1982-1986 as it was required at that time when an ethics committee was not available at Universidade Federal de Pelotas. More recently, the study was approved by the Research Ethics Committee, affiliated to the National Research Ethics Council (CONEP), and written informed consent was obtained from all subjects.

 

RESULTS

A total of 4,296 cohort subjects provided information on physical activity. Table 1 shows the pattern of leisure-time physical activity in men and women. Walking was the least preferred physical activity among men (74% did not engage in it) and around 87% of women did not engage in any physical activity, either moderate or vigorous. The weekly score of physical activity was higher among men (334 min/wk) compared to women (112 min/wk). The proportion of men and women with a weekly score equal to zero was 28.7% and 64.5%, respectively.

 

 

Mean score of leisure-time physical activity among men was higher at the extremes of income at birth while a direct relationship was seen in women. This association was statistically significant (Figure).

 

 

Table 2 displays the prevalence of leisure-time sedentary lifestyle according to independent variables and stratified by gender. The prevalence was higher in women compared to men (80.6% versus 49.2%). Family income at birth was inversely associated to sedentary lifestyle in both men and women. Those who have always been poor or have become poor during adult life were more sedentary. Men with white skin color were more sedentary than those with black or mixed skin color. Birth weight was inversely associated to leisure-time sedentary lifestyle only among women.

Among men, the results of the adjusted analysis showed that skin color was associated to leisure-time sedentary lifestyle: subjects with Black or Mixed skin color were significantly less sedentary than white ones (PR 0.84; 95% CI 0.75;0.94). Income at birth had an inverse relationship with leisure-time sedentary lifestyle. Subjects' current socioeconomic condition was associated with the outcome: sedentary lifestyle was more prevalent among those who have always been poor or have become poor during adult life (Table 3).

Similarly, income at birth was inversely associated to leisure-time sedentary lifestyle among women (Table 4). Current income was a determinant of sedentary lifestyle. Women who have always been poor or have become poor were more sedentary. Birth weight showed an inverse relationship with leisure-time sedentary lifestyle in women, even after adjusting for potential confounders.

 

DISCUSSION

Longitudinal studies allow to identifying determinants of diseases and risk behaviors. Better understanding factors associated to sedentary lifestyle is crucial today given the benefits of physical activity.5

The application of IPAQ allows the comparison of different studies because this questionnaire can provide standardized information about physical activity worldwide, validated in healthy adults.9 Although results may be inconsistent in the short and the long versions,12 the advantage of the IPAQ - long version is that it allows the assessment of each individual domain of physical activity.

The present study found that leisure-time sedentary lifestyle is highly prevalent among young adults. This finding corroborates other studies that reported high prevalences of sedentary lifestyle in other age groups and more pronounced among women.1,7,20 Monteiro et al18 reported that social and cultural factors are strong determinants of differences in sedentary lifestyle between men and women. They claim that most men associate physical activity to pleasure while women engage in these activities due to health concerns, medical recommendations and esthetics results.1,18 Besides, men tend to be more involved in group activities such as sports while women prefer individual activities such as walking and biking.18

The present study also found that men with white skin color had higher risk of sedentary lifestyle. This finding contrasts with that of studies in developed countries which reported higher prevalences among non-white people.17,22 On the other hand, a study conducted in Pelotas in adults (>20 years) did not find any differences in sedentary lifestyle by skin color.7 There has been no study investigating the difference of sedentary lifestyle prevalence according to skin color and stratified by age. An assumption to be tested would be that white people are more sedentary at the beginning of adult life.

Of women studied, 20% were considered non- sedentary during leisure time, and 64.5% had a score of physical activity equal to zero. The pattern of physical activity in the young adults studied is concerning given the benefits of physical activity.5

Several studies have investigated the effect of perinatal variables on health and disease development during lifetime.3,15,19 But the association between these variables and sedentary lifestyle, which may be a predisposing factor for disease development, needs to be further explored.

In the present study, birth weight showed an inversely proportional association with the prevalence of sedentary behavior among women. Even after adjusting for gestational age, the magnitude of the association remained unchanged. Hallal et al13 did not find an association in those born in 1993 assessed at the age of 10-12. On the other hand, Rogers et al21 reported a potential effect of prematurity (weight <800 g) on motor development and of sedentary lifestyle on physical fitness at the age of 17.21 Victora et al25 reported a direct relationship between birth weight and lean mass in 18-year-old men. Reduced muscle development in low-birth-weight children may explain low levels of physical activity during adolescence.

In regard to leisure-time physical activity, the association between sedentary lifestyle and socioeconomic factors is the most evident. While studies assessing overall sedentary behavior (including physical activities during leisure time, at work, while commuting, and doing housework) have showed a positive association with socioeconomic conditions.11 Other studies on leisure-time physical activity showed that people with lower socioeconomic condition tend to be more sedentary.7,10,20 This can be explained by the fact that they do not have the financial resources required in many leisure activities, e.g., joining a gym. In addition, knowledge on the health benefits of physical activity is associated to higher socioeconomic condition.8

Considering the relevance of physical activity to health, promoting a more active life is a priority in the world's health agenda.26 Some risk factors of sedentary lifestyle such as female gender and lower socioeconomic condition have been consistently identified. Similarly to that seen for other health-related factors, the most disadvantaged populations are also those less physically active, widening the inequality gap in public health in Brazil.

 

REFERENCES

1. Azevedo MR, Araujo CL, Reichert FF, Siqueira FV, Silva MC, Hallal PC. Gender differences in leisure-time physical activity. Int J Public Health. 2007;52(1):8-15. DOI: 10.1007/s00038-006-5062-1        [ Links ]

2. Barros FC, Victora CG, Horta BL, Gigante DP. Metodologia do estudo da coorte de nascimentos de 1982 a 2004-5, Pelotas, RS. Rev Saude Publica. 2008;42(Supl 2):7-15.         [ Links ]

3. Bradley P. Fetal and infant origins of adult disease. BMJ. 1992;302(6768):113.         [ Links ]

4. Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3:21. DOI: 10.1186/1471-2288-3-21        [ Links ]

5. Bauman AE. Updating the evidence that physical activity is good for health: an epidemiological review 2000-2003. J Sci Med Sport. 2004;7(1 Supl):6-19. DOI: 10.1016/S1440-2440(04)80273-1        [ Links ]

6. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381-95. DOI: 10.1249/01.MSS.0000078924.61453.FB        [ Links ]

7. Dias-da-Costa JS, Hallal PC, Wells JC, 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 ]

8. Domingues MR, Araujo CL, Gigante DP. Conhecimento e percepção sobre exercício físico em uma população adulta urbana do sul do Brasil. Cad Saude Publica. 2004;20(1);204-15. DOI: 10.1590/S0102-311X2004000100037        [ Links ]

9. Hagströmer M, Oja P, Sjöström M. The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity. Public Health Nutr. 2006;9(6):755-62. DOI: 10.1079/PHN2005898        [ Links ]

10. Hallal PC, Azevedo MR, Reichert FF, Siqueira FV, Araujo CL, Victora CG. Who, when, and how much? Epidemiology of walking in a middle-income country. Am J Prev Med. 2005;28(2):156-61. DOI: 10.1016/j.amepre.2004.10.012        [ Links ]

11. 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 ]

12. Hallal PC, Victora CG, Wells JC, Lima RC, Valle NCJ. Comparison between short and full-length International Physical Activity Questionnaires (IPAQ). J Phys Act Health. 2004;1(3):227-34.         [ Links ]

13. Hallal PC, Wells JC, Reichert FF, Anselmi L, Victora CG. Early determinants of physical activity in adolescence: prospective birth cohort study. BMJ. 2006;332(7548):1002-7. DOI: 10.1136/bmj.38776.434560.7C        [ Links ]

14. Haskell WL, Lee IM, Pate RR, Powell KE, Blair SN, Franklin BA, et al. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007;39(8):1423-34.         [ Links ]

15. Horta BL, Barros FC, Victora CG, Cole TJ. Early and late growth and blood pressure in adolescence. J Epidemiol Community Health. 2003;57(3):226-30. DOI: 10.1136/jech.57.3.226        [ Links ]

16. LaPorte RE, Montoye HJ, Caspersen CJ. Assessment of physical activity in epidemiologic research: problems and prospects. Public Health Rep.1985;100(2):131-46.         [ Links ]

17. Marshall SJ, Jones DA, Ainsworth BE, Reis JP, Levy SS, Macera CA. Race/Ethnicity, Social Class, and Leisure-Time Physical Inactivity. Med Sci Sports Exerc. 2007;39(1);44-51. DOI: 10.1249/01.mss.0000239401.16381.37        [ Links ]

18. Monteiro CA, Conde WL, Matsudo SM, Matsudo VR, Bonsenor 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 ]

19. Newsome CA, Shiell AW, Fall CH, Phillips DI, Shier R, Law CM. Is birth weight related to later glucose and insulin metabolism?- A systematic review. Diabet Med. 2003;20(5):339-48. DOI: 10.1046/j.1464-5491.2003.00871.x        [ Links ]

20. Pitanga FJ, Lessa I. Prevalência e fatores associados ao sedentarismo no lazer em adultos. Cad Saude Publica.2005;21(3):870-7. DOI: 10.1590/S0102-311X2005000300021        [ Links ]

21. Rogers M, Fay TB, Whitfield MF, Tomlinson J, Grunau RE. Aerobic capacity, strength, flexibility, and activity level in unimpaired extremely low birth weight (<or=800 g) survivors at 17 years of age compared with term-born control subjects. Pediatrics. 2005;116(1):e58-65. DOI: 10.1542/peds.2004-1603        [ Links ]

22. Sullivan PW, Morrato EH, Ghushchyan V, Wyatt HR, Hill JO. Obesity, inactivity, and the prevalence of diabetes and diabetes-related cardiovascular comorbidities in the U.S., 2000-2002. Diabetes Care. 2005;28(7);1599-603. DOI: 10.2337/diacare.28.7.1599        [ Links ]

23. Victora CG, Barros FC, Lima RC, Berrague DP, Gonçalves H, Horta BL, et al. The Pelotas birth cohort study, Rio Grande do Sul, Brazil, 1982-2001. Cad Saude Publica.2003;19(5):1241-56. DOI: 10.1590/S0102-311X2003000500003        [ Links ]

24. Victora CG, Barros FC. Cohort Profile: The 1982 Pelotas (Brazil) Birth Cohort Study. Int J Epidemiol. 2006;35(2):237-42. DOI: 10.1093/ije/dyi290        [ Links ]

25. Victora CG, Sibbritt D, Horta BL, Lima RC, Cole T, Wells J. Weight gain in childhood and body composition at 18 years of age in Brazilian males. Acta Paediatr. 2007;96(2);296-300. DOI: 10.1111/j.1651-2227.2007.00110.x        [ Links ]

26. World Health Organization. Global strategy on diet, physical activity and health. Geneva; 2004.         [ Links ]

 

 

Correspondence:
Mario Renato Azevedo
Programa de Pós-Graduação em Epidemiologia - UFPEL
R. Marechal Deodoro, 1160
96020-220 Pelotas, RS, Brasil
E-mail: marioazevedojr@terra.com.br

Received: 10/10/2007
Revised: 4/4/2008
Approved: 4/18/2008

 

 

This article is based on data from the study "Pelotas birth cohort, 1982" conducted by Postgraduate Program in Epidemiology at Universidade Federal de Pelotas.
The 1982 birth cohort study is currently supported by the Wellcome Trust initiative entitled Major Awards for Latin America on Health Consequences of Population Change. Previous phases of the study were supported by the International Development Research Center, The World Health Organization, Overseas Development Administration, European Union, National Support Program for Centers of Excellence (PRONEX), the Brazilian National Research Council (CNPq) and Brazilian Ministry of Health.
This article underwent the same peer review process as for other manuscripts submitted to this journal. Both authors and reviewers are guaranteed anonymity. Editors and reviewers declare that there are no conflicts of interest that could affect their judgment with respect to this article.
The authors declare that there are no conflicts of interest.