Fatores associados a atividade fisica, comportamento sedentario e participacao na Educacao Fisica em estudantes do Ensino Medio em Santa Catarina, Brasil

Abstract published in English and Portuguese English title: Factors associated with physical activity, sedentary behavior, and participation in physical education among high school students in Santa Catarina State, BrazilThe objectives of this study were to estimate the prevalence of insufficient physical activity, sedentary behavior, and absence from physical education and associated factors. The Santa Catarina State Adolescents' Questionnaire (COMPAC, in Portuguese) was applied to a sample of 5,028 adolescents (15-19 years of age) attending public high schools in the State of Santa Catarina, Brazil. Information included demographic and socioeconomic indicators. Poisson regression analyses were used to test associations. The proportion of students with insufficient physical activity was 28.5%, associated with low consumption of fruits and vegetables (PR = 1.27; 95%CI: 1.15; 1.40) and enrollment in night classes (PR = 1.44; 95%CI: 1.34; 1.54). Absence from physical education was reported by 48.6%; employment and older age were negatively associated with absence from physical education. Sedentary behavior was reported by 38.4%, but was less frequent in rural areas (PR = 0.52; 95%CI: 0.31; 0.83) and among those enrolled in absence from physical education (RP = 0.73; 95%CI: 0.56; 0.95). The results suggest interventions with specific strategies aimed at ameliorating each contributing factor. = O objetivo deste estudo foi analisar as prevalências e fatores associados à atividade física insuficiente, comportamento sedentário e ausência nas aulas de Educação Física em escolares do Ensino Médio. O questionário COMPAC (Comportamento do Adolescente Catarinense) foi respondido por 5.028 estudantes (15 a 19 anos), de escolas públicas de Santa Catarina, Sul do Brasil. Foram analisados comportamentos de risco, informações demográficas e sócio-econômicas. Utilizou-se regressão de Poisson para análises das associações. A prevalência de atividade física insuficiente foi de 28,5% e associou-se a um menor consumo de frutas/verduras (RP = 1,27; IC95%: 1,15-1,40) e estudo noturno (RP = 1,44; IC95%: 1,34-1,54). A prevalência de ausência nas aulas de Educação Física foi de 48,6% e associou-se negativamente à idade e com estar trabalhando (RP = 1,52; IC95%: 1,18-2,19). A prevalência de comportamento sedentário foi de 38,4%, atingindo menos os residentes de áreas rurais (RP = 0,52; IC95%: 0,31-0,83) e que participavam de uma ausência nas aulas de Educação Física semanal (RP = 0,73; IC95%: 0,56-0,95). Os resultados sugerem intervenções com estratégias específicas para cada comportamento analisado.Kelly Samara da Silva, Markus Vinícius Nahas, Karen Glazer Peres, Adair da Silva Lope

International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity

BACKGROUND: Advancements in geographic information systems over the past two decades have increased the specificity by which an individual's neighborhood environment may be spatially defined for physical activity and health research. This study investigated how different types of street network buffering methods compared in measuring a set of commonly used built environment measures (BEMs) and tested their performance on associations with physical activity outcomes. METHODS: An internationally-developed set of objective BEMs using three different spatial buffering techniques were used to evaluate the relative differences in resulting explanatory power on self-reported physical activity outcomes. BEMs were developed in five countries using 'sausage,' 'detailed-trimmed,' and 'detailed,' network buffers at a distance of 1 km around participant household addresses (n = 5883). RESULTS: BEM values were significantly different (p < 0.05) for 96% of sausage versus detailed-trimmed buffer comparisons and 89% of sausage versus detailed network buffer comparisons. Results showed that BEM coefficients in physical activity models did not differ significantly across buffering methods, and in most cases BEM associations with physical activity outcomes had the same level of statistical significance across buffer types. However, BEM coefficients differed in significance for 9% of the sausage versus detailed models, which may warrant further investigation. CONCLUSIONS: Results of this study inform the selection of spatial buffering methods to estimate physical activity outcomes using an internationally consistent set of BEMs. Using three different network-based buffering methods, the findings indicate significant variation among BEM values, however associations with physical activity outcomes were similar across each buffering technique. The study advances knowledge by presenting consistently assessed relationships between three different network buffer types and utilitarian travel, sedentary behavior, and leisure-oriented physical activity outcomes