ABSTRACT
Abstract Objective: This longitudinal study aimed to verify possible changes in the time spent in sedentary activities occurring as screen-time, educational, cultural, social, and transportation domains in a sample of Brazilian adolescents between 2015 and 2017. Methods: It is a longitudinal prospective study with 586 adolescents from 12 to 15 years old at the Baseline (2015) enrolled in 14 public schools from Curitiba, Brazil. The Adolescent Sedentary Activity Questionnaire assessed the time spent in sedentary activities in five domains (recreational screen-time, educational, cultural, social, and transportation). A series of linear random effects regressions analyzed changes in the sedentary time between 2015 and 2017, with p < .05. Results: Overall, 323 adolescents dropped out of the study resulting in a retention rate of 44.9%. The overall sedentary time remained stable from 2015 to 2017 (-3.98 min/day, 95%CI: -15.39; 7.42). The screen-time decreased (-22.22 min/day, 95%CI: -30.30; -14.15), and educational (8.29 min/day, 95% CI: 3.52; 13.06), cultural (3.41 min/day, 95% CI: 0.66; 6.15) and social sedentary activities (8.20 min/day, 95% CI: 2.06; 14.34) increased from 2015 to 2017. Conclusion: Significant reductions in screen-time were evidenced along with increases in time spent on other sedentary activities of educational, cultural, and social nature.
Subject(s)
Humans , Child , Adolescent , Sedentary Behavior , Screen Time , Prospective Studies , Follow-Up Studies , Longitudinal StudiesABSTRACT
ABSTRACT Objective: To verify the association between participation in physical activity (PA) and the clustering of health risk behaviors (HRB) in adolescents of both genders. Methods: A cross-sectional study involving 862 adolescents (11 to 17 years old) enrolled in 14 randomly selected public schools from Curitiba, Paraná, Brazil. Participation in PA, screen time, consumption of fruit, vegetables, cigarettes and alcoholic beverages were the criteria evaluated. Multinomial logistic regression tested the association between participation in PA and clustering of HRB, and results are expressed Odds Ratio (OR) with 95% confidence intervals (95%CI). Results: Adolescents with high participation in PA had lower odds of clustering 2-3 HRB (OR 0.38, 95%CI 0.21-0.68; p<0.01) and 4-5 HRB (OR 0.29; 95%IC 0.16-0.53; p<0.01). Boys with high participation in PA had lower chances of clustering 2-3 HRB (OR 0.31, 95%CI 0.13-0.75; p=0.01), and girls had lower odds of clustering 2-3 HRB (OR 0.41; 95%CI 0.17-0.99; p=0.04) and 4-5 HRB (OR 0.25; 95%CI 0.10-0.61; p<0.01). Conclusions: High participation in PA was inversely associated with the clustering of HRB in adolescents.
RESUMO Objetivo: Verificar a associação entre a participação em atividade física (AF) e a agregação de comportamentos de risco à saúde (CRS) em adolescentes de ambos os sexos. Métodos: Estudo transversal com participação de 862 adolescentes (11 a 17 anos) matriculados em 14 escolas públicas, selecionadas aleatoriamente, da cidade de Curitiba, Paraná. Foram avaliados a participação em AF, o tempo em tela, o consumo de frutas, vegetais, cigarros e de bebidas alcoólicas por meio de questionários. Para a associação entre os níveis de participação em AF e a agregação dos CRS, foi utilizada a regressão logística multinominal com obtenção de razão de chances (RC) com intervalos de confiança de 95% (IC95%). Resultados: Os adolescentes com alta participação em AF apresentaram menores chances de agregação de 2-3 CRS (RC 0,38; IC95% 0,21-0,68; p<0,01) e 4-5 CRS (RC 0,29; IC95% 0,16-0,53; p<0,01). Meninos com alta participação em AF apresentaram menores chances de agregarem 2-3 CRS (RC 0,31; IC95% 0,13-0,75; p=0,01), e meninas, menores chances de agregação de 2-3 CRS (RC 0,41; IC95% 0,17-0,99; p=0,04) e 4-5 CRS (RC 0,25; IC95% 0,10-0,61; p<0,01). Conclusões: A alta participação em AF esteve inversamente associada com a agregação de CRS em adolescentes.
Subject(s)
Humans , Male , Female , Child , Adolescent , Exercise , Health Risk Behaviors , Schools/statistics & numerical data , Vegetables , Brazil/epidemiology , Alcohol Drinking/epidemiology , Smoking/epidemiology , Cluster Analysis , Logistic Models , Odds Ratio , Sex Factors , Cross-Sectional Studies , Sedentary Behavior , FruitABSTRACT
Introdução: Existem poucos instrumentos validados para avaliar o comportamento sedentário em crianças e adolescentes brasileiros. Objetivo: Avaliar a validade de um questionário de comportamento sedentário em 117 escolares, de ambos os sexos, de 9 a 15 anos de cinco escolas públicas de Curitiba/Brasil. Métodos: O questionário avaliou o tempo gasto em atividades sedentárias durante uma semana e um final de semana típico. O tempo reportado em atividades sedentárias foi validado contra estimativas de tempo sedentário avaliadas através de acelerômetros Actigraph modelo GT3X. Para análise dos dados, utilizou-se o coeficiente de correlação de Spearman (rho) e o diagrama de dispersão de Bland Altman entre a medida do acelerômetro e a medida do questionário adotando-se um nível de significância de 5%. Resultados: O coeficiente de correlação entre a medida do acelerômetro e a medida do questionário foi de 0,79 (p< 0,00). A validade foi mais elevada nos dias de semana (rho=0,66), em escolares do sexo feminino (rho=0,80) e em escolares mais velhos (rho=0,87). A diferença média entre as duas medidas foi de 148,96 minutos/semana (IC95%: -45,50-343,42) com limites de concordância variando de -1975,02 a 2272,94 minutos/semana. Conclusão: O questionário analisado neste estudo apresentou níveis satisfatórios de validade e concordância podendo ser utilizado para estimar o comportamento sedentário em escolares de 9 a 15 anos. (AU)
Introduction: There are a few tools validated to assess sedentary behavior in Brazilian children and adolescents. Objective: To evaluate the validity of a questionnaire to measure sedentary behavior in 117 students of both sexes, aged 9 to 15 years, attending five public schools in Curitiba/Brazil. Methods: The questionnaire evaluated the time spent in sedentary activities on both weekdays and weekend days of a typical week. The time spent in sedentary activities was validated against the estimates of sedentary time obtained by accelerometers (Actigraph model GT3X). For data analysis, the Spearman correlation coefficient (rho) and the Bland Altman scatter plot wereused between the accelerometer read-out and the questionnaire measurement, with a 5% significance level. Results: The correlation coefficient between the accelerometer read-out and the questionnaire measurement was 0.79 (p <0.00). Validity was higher on weekdays (rho = 0.66), in female schoolchildren (rho = 0.80) and in older schoolchildren (rho = 0.87). The mean difference between the two measurements was 148.96 minutes/week (95% CI: -45.50-343.42) with agreement limits ranging from -1975.02 to 2272.94 minutes/week. Conclusion: The questionnaire analyzed in this study had satisfactory levels of validity and agreement and can therefore be used to estimate the sedentary behavior of students aged 9 to 15 years. (AU)