Physical activity and eating habits in public high schools from different regions in Brazil: the Saude na Boa project

Nahas, Markus Vinicius; Barros, Mauro Virgílio Gomes de; Goldfine, Bernie; Lopes, Adair da Silva; Hallal, Pedro Curi; Júnior, José Cazuza de Farias; Oliveira, Elusa Santina Antunes de

doi:10.1590/s1415-790x2009000200016

Cited by 27 publications

(32 citation statements)

References 17 publications

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“…23,a More recent studies, which used similar PA measures and cut-off points, indicate a high prevalence of physical inactivity in adolescents of Pelotas, Southern Brazil 1,10 and the following Brazilian citiesFlorianópolis, 14 Londrina, 16 São Paulo, 5 Rio de Janeiro 4 and Recife 14 -with values varying between 39.2% 16 and 69.8%. 1 The high prevalence of physical inactivity found in Curitiba (85.5%, Table 1) is higher than those found in the previously mentioned studies and more coherent with the Brazilian situation.…”

Section: Discussionmentioning

confidence: 95%

“…9,18,22,25 The multidimensionality of such factors shows the complexity of aspects that can infl uence this behavior. 17 Some Brazilian studies have analyzed the association between PA and demographic-biological (age, 1,5,8 gender 5,8,11,14 and skin color 10 ) and socioeconomic factors (income, 8 economic class 1,5,10,11 and parents' level of education 1 ). However, there is a lack of studies that analyze the association with sociocultural variables, such as the social support and perception of barriers for the practice of PA.…”

Section: Introductionmentioning

confidence: 99%

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Atividade física e fatores associados em adolescentes do ensino médio de Curitiba, Brasil

et al. 2010

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OBJECTIVE:To estimate the prevalence of physical activity in adolescents and to identify associated factors. METHODS:A cross-sectional study was conducted with a representative sample (n=1,518, 59.2% females) of students aged between 14 and 18 years, enrolled in the public school network of the city of Curitiba, Southern Brazil, in 2006. Physical activity practice was self-reported, according to the number of days per week when they perform moderate to vigorous physical activity lasting ≥ 60 minutes. This practice was analyzed in two distinct models. In the fi rst model, the variable was dichotomized into "0 day" and "≥ 1 day"; in the second, into "≤ 4 days" and "≥ 5 days". Independent variables were as follows: biological-demographic (sex, age, body mass index); socioeconomic (parents' level of education, number of cars); behavioral (number of hours spent watching television, number of hours spent using a computer); and sociocultural (social support from family and friends and the perception of barriers to the practice of activities), tested with Poisson regression. RESULTS:In the fi rst model of analysis, the prevalence of physical activity was 58.2% (75.1% in males; 46.5% in females; p<0.001), while, in the second, it was 14.5% (22.3% and 9.1%, respectively; p<0.001). In the fi rst model, the variables associated with physical activity were: male sex (PR=1.63, 95% CI: 1.48;1.78), social support from family (PR=1.14, 95% CI: 1.05;1.23), social support from friends (PR=1.52, 95% CI: 1.31;1.78) and high perception of barriers (PR=0.54, 95% CI: 0.46;0.62). In the second model, only male sex (PR=2.45, 95% CI: 1.73;3.46) and high perception of barriers (PR=0.24, 95% CI: 0.15;0.38) were associated with physical activity. CONCLUSIONS:More than half of adolescents practice physical activity at least one day of the week, although 14.5% achieved the current recommendations. The recommended levels are associated with a lower number of factors. Gender and perception of barriers were consistently associated with physical activity levels.

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Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Atividade física e fatores associados em adolescentes do ensino médio de Curitiba, Brasil

et al. 2010

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“…In addition, the food frequency questionnaire, the method of investigation generally used, does not provide accurate intake measurements. 5,21 The present study aimed to analyze fruit and vegetable intake among adolescents and to identify associated factors.…”

Section: Introductionmentioning

confidence: 99%

Determinantes do consumo de frutas e hortaliças em adolescentes por regressão quantílica

Bigio¹,

Verly²,

Castro³

et al. 2011

Rev. Saúde Pública

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OBJECTIVE:To analyze fruit and vegetable intake in adolescents and to identify associated factors. METHODS:A population-based cross-sectional study was conducted with a representative sample of 812 adolescents of both sexes in the city of São Paulo, Southeastern Brazil, in 2003. Food consumption was measured with the 24-hour dietary recall. Fruit and vegetable intake was described in percentiles. Quantile regression models were used to investigate the association between this intake and explanatory variables. RESULTS:Of all adolescents interviewed, 6.4% consumed the minimum recommendation of 400 g/day of fruits and vegetables and 22% did not consume any type of fruits and vegetables. According to quantile regression models, adjusted for energy intake, age group and sex, per capita household income and head of household's level of education were positively associated with fruit and vegetable intake, whereas smoking habit showed a negative association. Income was signifi cantly associated with lower intake percentiles (p20 to p55); smoking, with intermediate percentiles (p45 to p75); and head of household's level of education, with higher percentiles (p70 to 95). CONCLUSIONS:Fruit and vegetable intake among adolescents of São Paulo was below the Ministry of Health's recommendations and it is infl uenced by per capita household income, head of family's level of education and smoking habit.

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“…Foi identificada associação negativa entre EMC e estado nutricional, estando os estágios iniciais associados ao risco de sobrepeso/obesidade 43,56 . Entretanto, o que ainda não está claro é se o sobrepeso que dificulta a prática habitual de AF ou vice-versa 33 .…”

Section: Discussionunclassified

Estágios de mudança de comportamento para atividade física em adolescentes: revisão sistemática

Silva

Silva²

2015

Rev Bras Ativ Fís Saúde

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ResumoIdentificar a intenção do indivíduo em adotar um novo comportamento é uma importante estratégia para melhor compreensão do comportamento relacionado à atividade física. Portanto, este estudo teve como objetivo realizar uma revisão sistemática sobre os estudos que investigaram estimativas e/ou fatores associados aos estágios de mudança de comportamento para atividade física (EMC), baseados no Modelo Transteorético, em adolescentes. A busca foi realizada em cinco bases de dados (Medline/Pubmed, Sports Discus, Lilacs, PsycInfo e Google Acadêmico), com termos correspondentes aos estágios de mudança de comportamento, atividade física e adolescente (15 a 19 anos de idade), incluindo artigos publicados de 2003 a 2013. Dos 22 estudos analisados, verificou-se que grande parte deles não utilizaram amostras randomizadas (64,0%) e representativas (59,0%) da população de estudo, e analisaram os EMC de forma agrupada (50,0%). Observou-se maior prevalência de adolescentes no estágio de manutenção, com valores variando de 26,9% a 54,9%, e o estágio com menor prevalência foi o de pré-contemplação (de 0% a 20%). Nas moças, a prevalência diminuiu conforme o avançar nos estágios e observou-se situação oposta entre os rapazes. Houve associação negativa entre EMC com estado nutricional e percepção de barreiras. Foi encontrada associação positiva entre EMC com prática de atividade física, auto-eficácia, suporte social, percepção de benefícios e balança decisional. Os resultados sugerem diferenças entre sexos para os EMC e associações positivas substanciais entre variáveis psicossociais, de prática de atividade física e EMC em adolescentes. PalavRas-chave

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Physical activity and eating habits in public high schools from different regions in Brazil: the Saude na Boa project

Cited by 27 publications

References 17 publications

Atividade física e fatores associados em adolescentes do ensino médio de Curitiba, Brasil

Atividade física e fatores associados em adolescentes do ensino médio de Curitiba, Brasil

Determinantes do consumo de frutas e hortaliças em adolescentes por regressão quantílica

Estágios de mudança de comportamento para atividade física em adolescentes: revisão sistemática

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