Abstract
The current study evaluated physical activity (PA) level and its associated effects among students in the public network of São Paulo, Brazil. A cross-sectional study was taken using a representative sample of students in São Paulo public school system. International Physical Activity Questionnaire determined PA level. Students who reported at least 300 minutes/week of PA were considered active. The independente variables were: gender, age, body mass index, education, region, recognition of the Agita São Paulo program. The prevalence of regular PA was 71.7%. Males (PR = 1.09, 95% CIs = 1.04 -1.15) at least 17 years old (PR = 1.16, 95% CIs 1.09-1.24) in their 3rd year of high school (PR = 1.20, 95% CIs = 1.12-1.29) who resided in the Midwest region (PR = 1.27, 95% CIs 1.16-1.38) were most likely to be active. Males at least 17 years old in their 3rd year of high school who lived in the Midwest and recognized the Agita São Paulo/Agita Galera program had higher levels of PA. São Paulo students presented a high level of PA. Moreover, males older than 17 years, attending their 3rd year of high school, who lived in the Midwest region, and recognized the Agita São Paulo/Agita Galera program were the most likely to be more active.
Motor activity; Epidemiology; Public health; Adolescent
Resumo
O presente estudo avaliou nível de atividade física (AF) e seus efeitos associados entre estudantes da rede pública de São Paulo. Um estudo transversal foi feito usando uma amostra representativa de estudantes da rede pública de ensino de São Paulo. Foi utilizado o International Physical Activity Questionnaire para determinar o nível AF. Estudantes que relataram pelo menos 300 minutos/semana de AF, foram considerados ativos. As variáveis independentes foram: sexo, idade, índice de massa corporal, educação, região e o conhecimento do programa Agita São Paulo. A prevalência de AF regular foi de 71,7%. Os meninos (RP = 1,09, IC95% = 1,04 -1,15), 17 anos de idade (RP = 1,16, 95% IC 1,09-1,24), terceiro ano do ensino médio (RP = 1,20, IC95% = 1,12-1,29 ) e aqueles que residiam na região do Centro-Oeste (RP = 1,27, IC95% 1,16-1,38) tinham maior probabilidade de ser ativos. Meninos de 17 anos de idade, no terceiro ano do ensino médio, que residiam no Centro-Oeste e reconhecia o programa Agita São Paulo/Agita Galera tinham níveis mais elevados de AF. Alunos de São Paulo apresentaram um elevado nível de AF. Meninos com idade superior a 17 anos, do 3º ano do ensino médio, que residiam na região Centro-Oeste, e reconhecia o programa Agita São Paulo/Agita Galera foram mais propensos a ser mais ativos.
Atividade física; Epidemiologia; Saúde pública; Adolescente
Introduction
The relationship between physical activity and health has been well established in the literature11. Bouchard DR, Langlois MF, Boisvert-Vigneault K, Farand P, Paulin M, Baillargeon JP. Pilot study: can older inactive adults learn how to reach the required intensity of physical activity guideline? Clin Interv Aging 2013; 8:501-518.. However, abundant evidence has also shown that physical inactivity is common among the population, including children and adolescents22. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet 2012; 380(9838):247-257..
In addition to not enjoying the benefits of physical activity in the short term, sedentary children and adolescents have an increased chance of becoming sedentary adults. Even more troubling, physical activity and participation in physical education courses have decreased over time among adolescents in developed countries33. Knuth AG, Hallal PC. Temporal trends in physical activity: a systematic review. J Phys Act Health. 2009;6(5):548-559..
A high prevalence of physical inactivity has been estimated among adolescents in Brazil. A recent review44. Tassitano RM, Bezerra J, Tenório MCM, Colares V, Barros MVG, Hallal PC. Physical activity in Brazilian adolescents: A systematic review. Rev Bras Cineantropom Desempenho Hum 2007; 9(1):55-60. found this prevalence to range from 39.0% to 93.5%. This large variability is due to the different measurements and cutoff points used in studies to classify physical activity levels. In Brazil, there are few population-based studies school of physical activity adolescents55. Ceschini FL, Andrade DR, Oliveira LC, Araújo Júnior JF, Matsudo VKR. Prevalência de inatividade física e fatores associados em estudantes do ensino médio de escolas públicas estaduais. J Pediatr 2009; 85(4):301-306.,66. Guedes DP, Lopes CC, Guedes JERP. Reproducibility and validity of the International Physical Activity Questionnaire in adolescents. Rev Bras Med Esporte 2005; 11(2):147-154.
Interventions to increase physical activity have been recently implemented in Brazil77. Malta D, Castro A, Gosh C, Cruz DKA, Bressan A, Nogueira JD, Morais Neto OL, Temporão JG. National policy of health promotion and the motor activity agenda in the context of the National Health System in Brazil. Epidemiol Serv Saúde 2009; 18(1):79-86.,88. Matsudo SM, Matsudo VR, Araujo TL. The Agita Sao Paulo Program as a model for using physical activity to promote health. Rev Panam Salud Publica 2003; 14(4):265-273.. The Agita São Paulo program is a pioneering initiative in this country99. Matsudo V, Guedes J, Matsudo S, Andrade D, Araujo T, Oliveira L, Andrade E, Ribeiro M. Policy intervention: the experience of Agita São Paulo in using “mobile management” of the ecological model to promote physical activity. Perspectives 2004; 6:1-22.. Implemented in 1996, this program has increased (at the state level in particular) people’s knowledge regarding the biological, psychological, and social health benefits of physical activity and people’s involvement in moderate to vigorous physical activity1010. Matsudo SMM, Matsudo VKR, Araújo TL, Andrade E, Oliveira L, Braggion G. Physical activity promotion: experiences and evaluation of the Agita São Paulo Program using the ecological mobile model. J Phys Act Health 2004; 1:81-97.. One of the Agita São Paulo’s initiatives is the Agita Galera Program1111. Zieff SG, Guedes CM, Wiley J. Youth knowledge of physical activity health benefits: a brazilian case study. ScientificWorldJournal 2006; 6:1713-1721., which aims to promote awareness and physical activity at school among school-age children.
The Agita Galera concept is highly audacious because it aims to affect the entire public school system of São Paulo. According to official data of the Board of Education of São Paulo (Secretaria da Educação do Estado de São Paulo), this school system is currently the largest in Brazil with 5,300 schools, 230,000 teachers, 59,000 staff, and more than 4 million students1212. Secretaria da Educação do Estado de São Paulo. A Secretaria. [cited 2013 Jul 16]. http://www.educacao.sp.gov.br/portal/institucional/a-secretaria
http://www.educacao.sp.gov.br/portal/ins... .
The current study evaluated physical activity level and its associated effects among students from elementary and middle schools in the public network of São Paulo, Brazil.
Methods
This school-based cross-sectional study was conducted in the state of São Paulo. The sample was selected across multiple stages:
Random selection occurred within each macro-region of the municipalities (i.e., each administrative region), stratified by size: small municipalities (up to 30,000 inhabitants), medium (30,001 to 199,999 inhabitants), and large (greater than or equal to 200,000 inhabitants). A municipality was selected from each stratum; if the selected area did not have a municipality within its stratum, then two cities were selected from the stratum of the most representative size.
Schools were randomly selected in each municipality (minimum = 2; maximum = 17).
Students from the 5th and 8th grades as well as the 3rd year of high school were selected from each school (minimum = 3; maximum = 150).
The data were collected between February and May 2011. Trained interviewers approached individuals in the classroom at all schools. To aid in the understanding of the instrument, especially with regard to the intensity of physical activity, flash cards were used with typical physical activities.
The short version of the International Physical Activity Questionnaire (IPAQ) was used to measure physical activity level66. Guedes DP, Lopes CC, Guedes JERP. Reproducibility and validity of the International Physical Activity Questionnaire in adolescents. Rev Bras Med Esporte 2005; 11(2):147-154,1313. Matsudo S, Araújo T, Matsudo V, Andrade D, Andrade E, Oliveira LC, Braggion G. Questionário internacional de atividade física (IPAQ): estudo de validade e reprodutibilidade no Brasil. Rev Bras Ativ Fís Saúde 2001; 6(2):5-18.,1414. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003; 35(8):1381-1395.. The IPAQ was developed by an international group of experts to estimate physical activity patterns of populations from different countries and sociocultural contexts1414. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003; 35(8):1381-1395.. The questionnaire is validated for Brazilian adolescents and the IPAQ have acceptable measurement properties for monitoring levels of habitual physical activity in adolescents66. Guedes DP, Lopes CC, Guedes JERP. Reproducibility and validity of the International Physical Activity Questionnaire in adolescents. Rev Bras Med Esporte 2005; 11(2):147-154.
Young adolescents reported their frequencies and durations of walking and other physical activities of moderate to vigorous intensity over the previous week66. Guedes DP, Lopes CC, Guedes JERP. Reproducibility and validity of the International Physical Activity Questionnaire in adolescents. Rev Bras Med Esporte 2005; 11(2):147-154. The content validity of IPAQ is high, because frequency, intensity, and duration of physical activity are assessed, as well as sedentary behavior, which is an emerging concern66. Guedes DP, Lopes CC, Guedes JERP. Reproducibility and validity of the International Physical Activity Questionnaire in adolescents. Rev Bras Med Esporte 2005; 11(2):147-154,1414. Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003; 35(8):1381-1395. A physical activity score was created by multiplying the weekly frequency and duration of each physical activity session reported. Individuals with a physical activity score of at least 300 minutes/week were considered active based on the current recommendations for physical activity among adolescents1515. Strong WB, Malina RM, Blimkie CJ, Daniels SR, Dishman RK, Gutin B, Hergenroeder AC, Must A, Nixon PA, Pivarnik JM, Rowland T, Trost S, Trudeau F. Evidence based physical activity for school-age youth. J Pediatr. 2005; 146(6):732-737.,1616. World Health Organization (WHO). Global recommendations on physical activity for health. Geneva: WHO; 2010.. The independent variables were as follows:
Gender (male or female);
Age (in years, categorized into three groups: 10-14, 15-16, and > 17 years);
Body mass index (BMI) was derived from weight and height (kg/m2), and BMI z-score calculated based on reference data from the World Health Organization (WHO), classified into four groups: low weight, normal, overweight, and obese1717. de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 2007; 85(9):660-667.;
Education (grade at interview date: 5th grade, 8th grade, or 3rd year of high school);
Region (17 regions according to the division proposed by the Government of São Paulo: Midwest, Mid-east, South-southeast, the Sea Coastal Regions, and Metropolitan Areas);
Recognition of the Agita São Paulo program logo and the “Meiorito” mascot from a card with images;
The ability to associate the logo and mascot with physical activity, healthy eating, or overall health. For the purposes of the analyses, those who associated the logo or mascot with something other than the above characteristics were grouped with those who reported that they did not know the logo or mascot.
The Ethics Committee of the Faculty of Medical Sciences at Santa Casa de São Paulo (Comitê de Ética da Faculdade de Ciências Médicas da Santa Casa de São Paulo) approved this study. Those responsible signed the Terms of Consent pursuant to Resolution 196/96 of the National Health Council before the interviews.
Descriptive analyses were conducted to obtain absolute numbers and proportions with respective confidence intervals for categorical data. Bivariate analyses between physical activity level and the independent variables were conducted using the chi-square test for heterogeneity (categorical variables) and the linear trend test (ordinal variables). Adjusted analyses for possible confounds were performed using a Poisson regression with robust adjustment for variance. The variables were selected “after the fact”, thereby respecting the levels of the pre-established hierarchical model1818. 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; 3:21-33.. Variables with p < 0.20 were retained in the final model. The level of significance employed was p < 0.05. All analyses were weighted by the representativeness of the municipalities and regions and conducted using Stata version 10.0.
Results
The final sample was composed of 51 municipalities in São Paulo, totaling 154 schools and 2,555 students from the 5th and 8th grades of elementary school as well as the 3rd year of high school in the São Paulo state public school network. Approximately 4% of schools refused to participate in the study; thus, new schools of the same size were randomly selected within each municipality. As shown in Table 1, the students were predominantly female (56.1%), aged between 10 and 13 years, and has a normal BMI (69.2%).
The prevalence of physically active students (≥ 300 minutes/week) in the state was 71.7% (95% CI 70.0-73.4). Table 2 displays the association between physical activity and the independent variables. Young males aged at least 17 years old and in their 3rd year of high school were significantly more active than other participants. Region 5, which includes the capital and the metropolitan area, had the lowest prevalence of physical activity.
Table 3 displays the raw and adjusted analyses of the association between physical activity and the independent variables. The adjusted analyses showed the same associated factors as the raw analyses. Young males were 9% more active than females. Third year high school students were significantly more active compared with students in the 5th grade with a prevalence ratio of 1.20 (95% CIs = 1.12 to 1.29).
There were no significant differences (p > 0.05) among the region for any of the physical activity (walking, moderate and vigorous physical activity) (Table 4).
Table 5 displays the student recognition of the logo and mascot of the Agita São Paulo program: The program logo and mascot were recognized by 39.3% and 44.1% of respondents, respectively.
Students who recognized the program logo were significantly more active than those who did not (76.9% vs. 68.4%, p < 0.001). Students who correctly identified the logo and mascot of Agita São Paulo were significantly more active compared with those who did not correctly do so. Analyses adjusted for gender, age, grade, and region confirmed the results of the raw analyses, except for the “identifies the program mascot correctly” variable, which was not significant (p = 0.487; Figure 1).
Discussion
The aim of this study was evaluated physical activity level and its associated effects among students in the public network of São Paulo, Brazil. We showed that prevalence of physically active students (≥ 300 minutes/week) in the state was 71.7%. Young males were 9% more active than females. Third year high school students were significantly more active compared with students in the 5th grade. Students who recognized the program logo were significantly more active than those who did not and students who correctly identified the logo and mascot of Agita São Paulo were significantly more active compared with those who did not correctly do so, independent of gender, age, grade, BMI, and region confirmed the results of the raw analyses, except for the “identifies the program mascot correctly” variable, which was not significant.
Although the literature constantly reports technological advances in the methods used to evaluate physical activity in youths, this activity remains challenging1919. Reimers AK, Mess F, Bucksch J, Jekauc D, Woll A. Systematic review on measurement properties of questionnaires assessing the neighbourhood environment in the context of youth physical activity behaviour. BMC Public Health 2013; 13:461.,2020. Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, Katzmarzyk P. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in brazilian children. Pediatr Exerc Sci 2015; 27(3):380-389.. A correlation does not exist between data collected via questionnaires and direct methods such as accelerometry with regard to physical activity level. Nevertheless, evidence shows that when individuals are categorized into physical activity groups, these methods can be moderately to highly concordant1919. Reimers AK, Mess F, Bucksch J, Jekauc D, Woll A. Systematic review on measurement properties of questionnaires assessing the neighbourhood environment in the context of youth physical activity behaviour. BMC Public Health 2013; 13:461..
A majority of the youths in our sample (71.7%; 95% CIs = 70.0% to 73.4%) met the physical activity recommendations. Male aged at least 17 years old in their 3rd year of high school from the Midwest region of the state were most likely to be active. The high prevalence of youths who met these recommendations is a surprising finding.
An instrument commonly used in epidemiological surveys2121. Gonçalves H, Hallal PC, Amorim TC, Araújo CLP, Menezes AMB. Fatores socioculturais e nível de atividade física no início da adolescência. Rev Panam Salud Publica 2007; 22(4):246-253.,2222. Nahas MV, Barros MVG, Goldfine BD, Lopes AS, Hallal PC, Farias junior JC, Oliveira ES. Atividade física e hábitos alimentares em escolas públicas do ensino médio em diferentes regiões do Brasil: o projeto Saúde na Boa. Rev Bras Epidemiol 2009; 12(2):270-277. was employed in the present study. Recent studies that have used similar physical activity measures and cutoffs found data that conflicted with those presented here; specifically, they reported high estimates of physical inactivity among adolescents (ranging from 39.2% to 69.8%)55. Ceschini FL, Andrade DR, Oliveira LC, Araújo Júnior JF, Matsudo VKR. Prevalência de inatividade física e fatores associados em estudantes do ensino médio de escolas públicas estaduais. J Pediatr 2009; 85(4):301-306.,2121. Gonçalves H, Hallal PC, Amorim TC, Araújo CLP, Menezes AMB. Fatores socioculturais e nível de atividade física no início da adolescência. Rev Panam Salud Publica 2007; 22(4):246-253.
22. Nahas MV, Barros MVG, Goldfine BD, Lopes AS, Hallal PC, Farias junior JC, Oliveira ES. Atividade física e hábitos alimentares em escolas públicas do ensino médio em diferentes regiões do Brasil: o projeto Saúde na Boa. Rev Bras Epidemiol 2009; 12(2):270-277.-2323. Castro IRR, Cardoso LO, Engstrom EM, Levy RB, Monteiro CA. Vigilância de fatores de risco para doenças não transmissíveis entre adolescentes: a experiência da cidade do Rio de Janeiro, Brasil. Cad Saude Publica 2008; 24(10):2279-2288..
A sample of high school students who attended public schools in São Paulo showed a low prevalence of physical activity (37.5%). Of the adolescents who met the recommendation, 47% practiced structured physical activities in city clubs. The same study found that the prevalence of physical activity (≥ 300 minutes/week) was significantly higher in boys than girls (50.3% versus 25.9%)55. Ceschini FL, Andrade DR, Oliveira LC, Araújo Júnior JF, Matsudo VKR. Prevalência de inatividade física e fatores associados em estudantes do ensino médio de escolas públicas estaduais. J Pediatr 2009; 85(4):301-306..
In the present study, boys had significantly higher mean values for physical activity than girls. Our findings agree with recent studies that boys accumulate more physical activity than girls2424. Hallal PC, Knuth AG, Cruz DKA, Mendes MI, Malta DC. Prática de atividade física em adolescentes brasileiros. Cien Saude Colet 2010; 15(Supl. 2):3035-3042.
25. Barreira TV, Schuna Junior JM, Mire EF, Broyles ST, Katzmarzyk PT, Johnson WD, Tudor-Locke C. Normative steps/day and peak cadence values for united states children and adolescents: National Health and Nutrition Examination Survey 2005-2006. J Pediatr 2015; 166(1):139-143.-2626. Tudor-Locke C, Craig CL, Beets MW, Belton S, Cardon GM, Duncan S, Hatano Y, Lubans DR, Olds TS, Raustorp A, Rowe DA, Spence JC, Tanaka S, Blair SN. How many steps/day are enough? for children and adolescents. Int J Behav Nutr Phys Act 2011; 8:78.. To describe the physical activity practiced among Brazilian adolescents, data from the National Survey of Student Health (Pesquisa Nacional de Saúde do Escolar [PeNSE])2424. Hallal PC, Knuth AG, Cruz DKA, Mendes MI, Malta DC. Prática de atividade física em adolescentes brasileiros. Cien Saude Colet 2010; 15(Supl. 2):3035-3042. were collected from all the Brazilian state capitols and the Federal District in 2009. These data revealed an active youth prevalence of 46% in São Paulo. This study also observed that the proportion of active boys was higher than that of girls.
Evidence from developed countries has shown that involvement in physical activity during adolescence is declining, even during physical education classes33. Knuth AG, Hallal PC. Temporal trends in physical activity: a systematic review. J Phys Act Health. 2009;6(5):548-559.. Data from the Youth Risk Behavior Surveillance System (YRBSS) that sampled participation in high school physical education in the US from 1991 to 2004 revealed that approximately 55% of students were enrolled in these classes, but only 28% attended them each day. In 2011, 53.3% of US students were enrolled in physical education classes, and only 23% attended these classes every day2727. Eaton DK, Kann L, Kinchen S, Shanklin S, Flint KH, Hawkins J, Harris WA, Lowry R, McManus T, Chyen D, Whittle L, Lim C, Wechsler H; Centers for Disease Control and Prevention. Youth Risk Behavior Surveillance – United States, 2011. MMWR Surveill Summ 2012; 61(4):1-162..
A systematic review of the interventions conducted in Latin America showed that school interventions effectively promote physical activity2828. Hoehner CM, Soares J, Parra Perez D, Ribeiro IC, Joshu CE, Pratt M, Legetic BD, Malta DC, Matsudo VR, Ramos LR, Simões EJ, Brownson RC. Physical activity interventions in Latin America: a systematic review. Am J Prev Med 2008; 34(3):224-233.. However, the strategies aimed at greater student involvement primarily within schools remain a global challenge. In São Paulo, the 1997 implementation of the Agita Galera Program (Active Community Day) in the public school system involved various discussions of the importance of physical activity. These discussions have included the sensitization of teachers in the public education network, publicity via printed media, the preparation and distribution of informational handouts, and encouraging schools to promote specific and permanent actions related to physical activity, among others.
A study of public high school students in São Paulo examined the prevalence of physical inactivity with regard to knowledge of the Agita São Paulo/Agita Galera program and found that a lack of knowledge increased the likelihood of inactivity by 29% (PR = 1.2; 95% CIs = 1.16-1.38)55. Ceschini FL, Andrade DR, Oliveira LC, Araújo Júnior JF, Matsudo VKR. Prevalência de inatividade física e fatores associados em estudantes do ensino médio de escolas públicas estaduais. J Pediatr 2009; 85(4):301-306..
Our study revealed that individuals who reported recognizing the program logo were significantly more active than those who did not (76.9% vs. 68.4%, p < 0.001). Several hypotheses might explain the high prevalence of the student physical activity detected in this study. These data might indicate that the Agita São Paulo/Agita Galera program positively influences the physical activity levels of students in the public education network of São Paulo. This supposition is reinforced by the fact that the event has occurred annually since 1997.
To the best of our knowledge, national studies have not analyzed the temporal trends of student physical activity. A study of adults from southern Brazil used the same physical activity evaluation and found an increase of 11% in adult in activity (150-minutes/week) from 2002 to 20072424. Hallal PC, Knuth AG, Cruz DKA, Mendes MI, Malta DC. Prática de atividade física em adolescentes brasileiros. Cien Saude Colet 2010; 15(Supl. 2):3035-3042.. Data from the Brazilian monitoring system Vigitel revealed a modest increase in the proportion of adults who practiced a minimum of 150 min/week of physical activity during their leisure time nationwide (14.9% in 2006; 15.5% in 2007; and 16.4% in 2008)2929. Monteiro CA, de Moura EC, Jaime PC, Lucca A, Florindo AA, Figueiredo ICR, Bernal R, Silva NN. Surveillance of risk factors for chronic diseases obtained via telephone interviews. Rev Saude Publica 2005; 39(1):47-57.. However, these data are not directly comparable because they used different physical activity domains to classify their sample.
Furthermore, São Paulo has officially commemorated World Physical Activity Day (April 6) since 2002. On this day, several cities in the state promote large events that target the need to incorporate physical activity into one’s daily life. For example, in 2002, 888 events were held across 175 municipalities. In 2008, more than 2,030 events were held. In addition, the Brazilian Ministry of Health has funded city projects that encourage physical activity since 2006. Of the 35 municipalities of São Paulo given the award in 2006, 54% were partners of the Agita São Paulo program.
Recognition of the Agita logo has increased in recent years. In 2002, 37% of the state’s population was aware of Agita; in 2008, this statistic increased to 60%. To date, 49% of the state’s population has become aware of the primary message of the program3030. Matsudo VKR, Matsudo SM, Araújo TL, Andrade DR, Oliveira LC, Hallal PC. Time trends in physical activity in the state of Sao Paulo, Brazil: 2002-2008. Med Sci Sports Exerc 2010; 42(12):2231-2236..
We stress that students who recognized the program’s logo were significantly more active than those who did not (76.9% vs. 68.4%, p < 0.001; Figure 1). In addition, the data collection and interviews were conducted between February and March, far removed from August when the Agita Galera events are held. Thus, the program likely is sustainable and permanent among public school students. Therefore, the results presented in our study and current scientific evidence suggest that the engagement of adolescents in physical activities stimulated by health promotion programs at school or not could contribute to the reduction of physical inactivity, probably because it raises awareness of the importance and benefits for health and also due to the greater involvement of adolescents in these activities. In that sense, the action of schools and governmental agencies seems to be an interesting manner to create and implement intervention programs that assist to prevent physical inactivity.
Some limitations of the present study need to be acknowledged. The short version of IPAQ also has some limitations. The main limitation is that we were unable to differentiate domains of physical activity (leisure time, occupational, housework, and commuting). In a country like Brazil most previous research has used questionnaires (IPAQ) indirect measures of physical activity for adolescents66. Guedes DP, Lopes CC, Guedes JERP. Reproducibility and validity of the International Physical Activity Questionnaire in adolescents. Rev Bras Med Esporte 2005; 11(2):147-154. Questionnaires, like IPAQ, represent the most accessible instrument for the usual physical activity evaluation, above all in epidemiological nature studies due to the easiness of being applied to large groups, low cost and for allowing collecting information with relation to the type and context in which they are performed, what does not occur to other measurement resources. In the present study, only high school students from state’s public schools who attended school in the mornings were assessed. Thus, other segments that are part of the educational system, such as private, city’s public or technical schools and other school hours (afternoon or evening classes) were not assessed. Accordingly, our inferences are related only to the group studied. The results shown in the present study may serve as the basis for future investigations in areas with specific environmental and social characteristics in the state of São Paulo, providing data for comparisons with both studies involving young populations from other regions in Brazil and youths from other countries.
Conclusion
The present findings indicate that students in São Paulo have a high level of physical activity. Moreover, males older than 17 years attending their 3rd year of high school who lived in the Midwest region and recognized the Agita São Paulo/Agita Galera program were the most likely to report physical activity. At least some of our findings directly or indirectly reflect the positive effect of the Agita São Paulo/Agita Galera program on the activity level of students in São Paulo, Brazil.
Acknowledgements
State Department of Health of São Paulo.
References
- 1Bouchard DR, Langlois MF, Boisvert-Vigneault K, Farand P, Paulin M, Baillargeon JP. Pilot study: can older inactive adults learn how to reach the required intensity of physical activity guideline? Clin Interv Aging 2013; 8:501-518.
- 2Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet 2012; 380(9838):247-257.
- 3Knuth AG, Hallal PC. Temporal trends in physical activity: a systematic review. J Phys Act Health. 2009;6(5):548-559.
- 4Tassitano RM, Bezerra J, Tenório MCM, Colares V, Barros MVG, Hallal PC. Physical activity in Brazilian adolescents: A systematic review. Rev Bras Cineantropom Desempenho Hum 2007; 9(1):55-60.
- 5Ceschini FL, Andrade DR, Oliveira LC, Araújo Júnior JF, Matsudo VKR. Prevalência de inatividade física e fatores associados em estudantes do ensino médio de escolas públicas estaduais. J Pediatr 2009; 85(4):301-306.
- 6Guedes DP, Lopes CC, Guedes JERP. Reproducibility and validity of the International Physical Activity Questionnaire in adolescents. Rev Bras Med Esporte 2005; 11(2):147-154
- 7Malta D, Castro A, Gosh C, Cruz DKA, Bressan A, Nogueira JD, Morais Neto OL, Temporão JG. National policy of health promotion and the motor activity agenda in the context of the National Health System in Brazil. Epidemiol Serv Saúde 2009; 18(1):79-86.
- 8Matsudo SM, Matsudo VR, Araujo TL. The Agita Sao Paulo Program as a model for using physical activity to promote health. Rev Panam Salud Publica 2003; 14(4):265-273.
- 9Matsudo V, Guedes J, Matsudo S, Andrade D, Araujo T, Oliveira L, Andrade E, Ribeiro M. Policy intervention: the experience of Agita São Paulo in using “mobile management” of the ecological model to promote physical activity. Perspectives 2004; 6:1-22.
- 10Matsudo SMM, Matsudo VKR, Araújo TL, Andrade E, Oliveira L, Braggion G. Physical activity promotion: experiences and evaluation of the Agita São Paulo Program using the ecological mobile model. J Phys Act Health 2004; 1:81-97.
- 11Zieff SG, Guedes CM, Wiley J. Youth knowledge of physical activity health benefits: a brazilian case study. ScientificWorldJournal 2006; 6:1713-1721.
- 12Secretaria da Educação do Estado de São Paulo. A Secretaria. [cited 2013 Jul 16]. http://www.educacao.sp.gov.br/portal/institucional/a-secretaria
» http://www.educacao.sp.gov.br/portal/institucional/a-secretaria - 13Matsudo S, Araújo T, Matsudo V, Andrade D, Andrade E, Oliveira LC, Braggion G. Questionário internacional de atividade física (IPAQ): estudo de validade e reprodutibilidade no Brasil. Rev Bras Ativ Fís Saúde 2001; 6(2):5-18.
- 14Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003; 35(8):1381-1395.
- 15Strong WB, Malina RM, Blimkie CJ, Daniels SR, Dishman RK, Gutin B, Hergenroeder AC, Must A, Nixon PA, Pivarnik JM, Rowland T, Trost S, Trudeau F. Evidence based physical activity for school-age youth. J Pediatr 2005; 146(6):732-737.
- 16World Health Organization (WHO). Global recommendations on physical activity for health Geneva: WHO; 2010.
- 17de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 2007; 85(9):660-667.
- 18Barros 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; 3:21-33.
- 19Reimers AK, Mess F, Bucksch J, Jekauc D, Woll A. Systematic review on measurement properties of questionnaires assessing the neighbourhood environment in the context of youth physical activity behaviour. BMC Public Health 2013; 13:461.
- 20Ferrari GL, Oliveira LC, Araujo TL, Matsudo V, Barreira TV, Tudor-Locke C, Katzmarzyk P. Moderate-to-vigorous physical activity and sedentary behavior: independent associations with body composition variables in brazilian children. Pediatr Exerc Sci 2015; 27(3):380-389.
- 21Gonçalves H, Hallal PC, Amorim TC, Araújo CLP, Menezes AMB. Fatores socioculturais e nível de atividade física no início da adolescência. Rev Panam Salud Publica 2007; 22(4):246-253.
- 22Nahas MV, Barros MVG, Goldfine BD, Lopes AS, Hallal PC, Farias junior JC, Oliveira ES. Atividade física e hábitos alimentares em escolas públicas do ensino médio em diferentes regiões do Brasil: o projeto Saúde na Boa. Rev Bras Epidemiol 2009; 12(2):270-277.
- 23Castro IRR, Cardoso LO, Engstrom EM, Levy RB, Monteiro CA. Vigilância de fatores de risco para doenças não transmissíveis entre adolescentes: a experiência da cidade do Rio de Janeiro, Brasil. Cad Saude Publica 2008; 24(10):2279-2288.
- 24Hallal PC, Knuth AG, Cruz DKA, Mendes MI, Malta DC. Prática de atividade física em adolescentes brasileiros. Cien Saude Colet 2010; 15(Supl. 2):3035-3042.
- 25Barreira TV, Schuna Junior JM, Mire EF, Broyles ST, Katzmarzyk PT, Johnson WD, Tudor-Locke C. Normative steps/day and peak cadence values for united states children and adolescents: National Health and Nutrition Examination Survey 2005-2006. J Pediatr 2015; 166(1):139-143.
- 26Tudor-Locke C, Craig CL, Beets MW, Belton S, Cardon GM, Duncan S, Hatano Y, Lubans DR, Olds TS, Raustorp A, Rowe DA, Spence JC, Tanaka S, Blair SN. How many steps/day are enough? for children and adolescents. Int J Behav Nutr Phys Act 2011; 8:78.
- 27Eaton DK, Kann L, Kinchen S, Shanklin S, Flint KH, Hawkins J, Harris WA, Lowry R, McManus T, Chyen D, Whittle L, Lim C, Wechsler H; Centers for Disease Control and Prevention. Youth Risk Behavior Surveillance – United States, 2011. MMWR Surveill Summ 2012; 61(4):1-162.
- 28Hoehner CM, Soares J, Parra Perez D, Ribeiro IC, Joshu CE, Pratt M, Legetic BD, Malta DC, Matsudo VR, Ramos LR, Simões EJ, Brownson RC. Physical activity interventions in Latin America: a systematic review. Am J Prev Med 2008; 34(3):224-233.
- 29Monteiro CA, de Moura EC, Jaime PC, Lucca A, Florindo AA, Figueiredo ICR, Bernal R, Silva NN. Surveillance of risk factors for chronic diseases obtained via telephone interviews. Rev Saude Publica 2005; 39(1):47-57.
- 30Matsudo VKR, Matsudo SM, Araújo TL, Andrade DR, Oliveira LC, Hallal PC. Time trends in physical activity in the state of Sao Paulo, Brazil: 2002-2008. Med Sci Sports Exerc 2010; 42(12):2231-2236.
Publication Dates
- Publication in this collection
Apr 2016
History
- Received
22 June 2015 - Reviewed
27 Oct 2015 - Accepted
29 Oct 2015