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.

BackgroundInterventions on adolescents’ lifestyle are important, but the main mechanisms that explain the changes (mediating variables) on lifestyle are unclear. This paper presents the rationale and methods of an intervention program focused on promoting active and healthy lifestyles (especially physical activity [PA] practice and reducing screen time) among Brazilian students-the Fortaleça sua Saúde program (Portuguese for “strengthen your health”).Methods/DesignThis is a school-based cluster-randomized controlled trial. Three intervention and three control (no intervention) full-time public schools were randomly selected in Fortaleza, northeastern Brazil. Students (n = 1,272) from classes in Grades 7–9 were eligible, and 1,085 (548 in the intervention and 537 in control schools) completed the baseline and follow-up measures. The program duration was approximately four months and took place in 2014. Intervention strategies focused on teacher training, activities on health in the curriculum, active opportunities in the school environment (the availability of equipment for PA), and health education (health materials for students and parents). Data collection was undertaken before and immediately after the intervention. The primary variables included the practice of PA (weekly PA volume, PA behavior change stage and preference for PA during leisure-time) and screen time (TV and computer/video games). Potential intrapersonal, interpersonal and environmental mediators of PA and screen time were evaluated by a standardized questionnaire. Other lifestyle components (e.g., eating habits, substance use), psychological (e.g., self-rated health, body satisfaction) and biological (general and abdominal obesity) aspects, as well as academic performance were also evaluated in the total sample. Depressive symptoms, eating disorders, sleep quality, objectively-measured PA, and sedentary time were evaluated in obese students.DiscussionIf effective, this program will contribute to the development of public policies for the promotion of active and healthy lifestyles in youth, especially those from low- and middle-income countries. The main intrapersonal, interpersonal and/or environmental mediators of PA and screen time may also be indicated. Finally, we anticipate that the proposed strategies may be adaptable to public schools and may even be extended to the entire school system.Trial registrationClinicalTrials.Gov: NCT02439827. Registration date: May 3, 2015.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-015-2543-2) contains supplementary material, which is available to authorized users.

OBJETIVO: Este estudo teve como objetivo determinar a associação do índice de massa corporal (IMC) com os níveis de atividade física (AF) e comportamentos sedentários (assistir TV, usar computador ou jogar videogames) em adolescentes de escolas públicas do Estado de Santa Catarina (15-19 anos; n = 5.028). MÉTODOS: As informações foram coletadas por meio de questionário desenvolvido e validado para adolescentes. Foram considerados insuficientemente ativos, os jovens que não acumulavam pelo menos 300 minutos/semana de atividades físicas moderadas ou vigorosas. Considerou-se para o uso excessivo de TV e computador/games um tempo > 2 horas/dia; para excesso de peso corporal, utilizou-se a tabela internacional de IMC para adolescentes. RESULTADOS: O excesso de peso corporal foi mais prevalente entre os rapazes (12,7% vs 7,9%, p<0,001), e houve uma maior proporção de moças insuficientemente ativas (37,0% vs 21,0%, p<0,001). A chance de ter excesso de peso corporal foi 74% maior entre os rapazes pouco ativos em comparação com os ativos, e entre as moças de menor renda familiar (OR=1,85) e as que residiam na zona urbana (OR=2,22). A chance de serem menos ativos foi 43% maior entre os rapazes que assistiam mais TV e 73% maior para aqueles com excesso de peso corporal. Nas moças, a chance de pouca atividade física foi 54% maior entre as que trabalhavam. CONCLUSÕES: a prevalência de excesso de peso corporal foi maior entre os rapazes, mesmo sendo mais ativos do que as moças. Nos rapazes, o excesso de peso estava significativamente associado à menor prática de atividade física e, nas moças, à menor renda familiar e local de moradia.

Background:Research has demonstrated that adolescents who actively commute have higher levels of physical activity (PA), which have declined precipitously over the past 30 years. The purpose of this study was to describe the prevalence of active commuting to school; and to identify barriers associated with active commuting.Methods:A cross-sectional study was conducted with 1672 students (46.8% boys and 53.2% girls) from 11 to 17 years of age in Caxias do Sul/RS, Brazil. The students were asked to answer questionnaires about active transport, PA, and sedentary behaviors. They also completed a cardiovascular fitness test and body composition measurements. The study used a multivariate Poisson regression analysis.Results:A total of 62.5% of students were observed to actively commute and the prevalence ratio (PR) of not actively commuting was associated with the type of school (Private: 2.41; 1.47, 3.95) and the time spent on commuting (>20 min: 1.93; 1.23, 3.03). The associated barriers to passive commuting were distance (3.02; 1.95, 4.71), crime/ danger (2.65; 1.82, 3.85), and traffic (1.75; 1.19, 2.58).Conclusions:This study showed that environmental variables were strongly associated with active commuting. However, no alterations in body composition or other behavioral variables were observed after adjustment.

BackgroundThere is a lack of evidence regarding clusters of health-related behaviors among adolescents from low, lower-middle, and upper-middle income countries. This study aimed to identify clustering patterns of health-related behaviors (diet, physical activity [PA] and sedentary behavior [SB]) and association with sociodemographic variables among a population-based sample of Brazilian adolescents.MethodsCross-sectional data from the 2015 National School-Based Health Survey (PeNSE). A total of 102,072 (females: 51.7%) students in ninth-grade (age: 14.3 ± 1.1 years-old) enrolled in public and private schools were investigated in this study. Healthy and unhealthy diet, PA and SB were measured using a validated questionnaire. Two-step cluster analysis was conducted to identify lifestyle patterns. The methodology for complex analysis and weighting was used to inferential statistical procedures. Multinomial logistic regression assessed associations between sociodemographic factors and the clusters.ResultsThree reliable and meaningful clusters were identified and labelled as follows: (1) health-promoting SB and diet (32.6%); (2) health-promoting PA and diet (44.9%), and (3) health-risk (22.5%). Compared to boys, girls were less likely to be in clusters 1 (OR = 0.85; 95% CI = 0.78–0.93, p < 0.001) and 2 (OR = 0.43; 95% CI = 0.40–0.46, p < 0.001) than the health-risk cluster. Higher socioeconomic status was positively associated with health-promoting PA and diet, and negatively related to health-promoting SB and diet. Older adolescents were more likely to be in cluster 1 than in cluster 3, compared to younger adolescents.ConclusionApproximately one-quarter of the population (health-risk cluster) reported engaging in multiple risk behaviors. Interventions may need to be tailored to specific adolescent groups, especially considering sociodemographic differences.Electronic supplementary materialThe online version of this article (10.1186/s12889-018-6203-1) contains supplementary material, which is available to authorized users.

RESUMOObjetivo: Identificar a prevalência e os fatores associados à autopercepção negativa de saúde em adolescentes catarinenses.Métodos: Foi realizado um estudo de delineamento transversal com adolescentes do ensino médio das escolas públicas do Estado de Santa Catarina (n=5.028). A autopercepção negativa de saúde foi analisada em função das variáveis: sexo, renda familiar, prática de atividade física, tabagismo, etilismo, drogas ilícitas e autopercepção de estresse. Aplicouse a regressão logística binária para medidas de associação.Resultados: A prevalência de autopercepção negativa de saúde foi maior nas moças (17,6%) em relação aos rapazes (9,6%; p<0,0001). Valores superiores de Odds Ratio (OR) foram observados para as moças (OR 1,99; IC95% 1,66-2,38), adolescentes pertencentes às famílias de menor renda (OR 1,54; IC95% 1,08-2,20), fumantes (OR 2,00; IC95% 1,35-2,94) e que referiram autopercepção negativa de estresse (OR 3,36; IC95% 2,12).Conclusões: Os adolescentes do sexo feminino, os de menor renda familiar, além dos fumantes e os que perceberam negativamente o estresse apresentaram níveis de autopercepção negativa de saúde superiores aos dos seus pares.Palavras-chave: nível de saúde; conduta de saúde; adolescente. ABSTRACTObjective: To identify the prevalence and factors associated with negative self-rated health among adolescents in the State of Santa Catarina, Brazil.Methods: A cross-sectional investigation was conducted with a representative sample of 5,028 adolescents who were attending public highschools. The negative self-rated health was analyzed in relation to the following variables: gender, income, physical activity practice, smoking, alcohol consumption, drug use and self-rated stress. The binary logistic regression was carried out to test associations.Results: The prevalence of negative self-rated health was higher among girls (17.6%) in comparison to boys (9.6%; p<0.0001). Higher values of Odds Ratio (OR) were associated with female gender (OR 1.99; 95%CI 1.66-2.38), lower socioeconomic status (OR 1.54; 95%CI 1.08-2.20), smoking (OR 2.00; 95%CI 1.35-2.94), and negative self-rated stress (OR 3.36;.Conclusions: Female adolescents, those with lower socioeconomic status, smokers and those who negatively perceived stress presented higher levels of negative self-rated health.

The intervention was effective in promoting improvements in some PA outcomes, but the changes were not sufficient to increase the proportion of those meeting PA recommendations.

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