Factors Associated With Active Commuting to School and to Work Among Brazilian Adolescents

Silva, Kelly Samara da; Nahas, Markus Vinicius; Borgatto, Adriano F.; Oliveira, Elusa Santina Antunes de; Duca, Giovâni Del; Lopes, Adair da Silva

doi:10.1123/jpah.8.7.926

Cited by 16 publications

(32 citation statements)

References 19 publications

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“…Overall, individual correlates of active commuting are also similar across countries [5][6][7][8] . For instance, age, income and the number of perceived barriers are with less active community in both high and low-to-middle income countries 9 .…”

Section: Barriers For Active Commuting To Schoolmentioning

confidence: 80%

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Perceived barriers for active commuting to school among adolescents from Curitiba, Brazil

Becker

Fermino

Lima

et al. 2017

Rev. Bras. Ativ. Fís. Saúde

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The aim of this study was to analyze the association between perceived barriers for active commuting to school in the form of displacement of adolescents from Curitiba, Brazil. Interviews were conducted in six schools (three public and three private) with 741 adolescents aged 11-18 yrs. Perceived barriers for active commuting were assessed through a questionnaire with seventeen questions. Active commuting was defined as walking or bicycling to or form school at least one day per week. The associations were tested by Poisson regressions with 5% significance level. The prevalence of active commuting was of 42.9% (50.0% in boys and 37.2% in girls, p<0,001). For boys the barriers: "It is too far" (RP: 0.71; 95%CI: 0.60-0.86), "Route as boring" (RP: 1.30; 95%CI: 1.04-1.62) and "Too much traffic" (PR: 1.27; 95%CI: 1:04 to 1:56) were associated with active commuting. For girls, the barriers: "It is easier to go by car or bus" (RP: 0.70; 95%CI: 0.56-0.88) and involve "It requires too much planning" (RP: 0.60; 95%CI: 0.42-0.86) were associated with active commuting. Environmental and psychological barriers were associates with active commuting among adolescents to school. Efforts to promote active commuting, should consider gender specific actions. Providing safe routes and organize group activities for girls, and indicate faster routes for boys could help increasing this behavior among adolescents. KeywordsArchitectural Accessibility; Adolescents; Motor Activity; Cross-Sectional Studies; Brazil. 42,9% (50,0% meninos e 37,2% meninas p<0,001). Para os meninos, as barreiras associadas com o deslocamento ativo foram: "Morar longe da escola" (RP: 0,71; IC95%: 0,86), identificar o "Percurso como chato" (RP: 1,30; IC95%: 1,62) e "Muito tráfego" (RP: 1,27; IC95%: 1,56). Para as meninas, perceber que é "Mais fácil ir de carro/ ônibus" (RP: 0,70; IC95%: 0,88) e envolver "Muito planejamento" (RP: 0,60; IC95%: 0,86) Resumo O objetivo desse estudo foi analisar a associação entre as barreiras percebidas para o deslocamento ativo com a forma de deslocamento para a escola em adolescentes de Curitiba, Brasil. Foram entrevistados 741 adolescentes com idade entre 11-18 anos em seis escolas (três públicas e três privadas). A percepção de barreiras para o deslocamento ativo para escola foi avaliado por uma escala com 17 itens. O deslocamento ativo para escola foi considerado quando o adolescente relatou ir ou voltar da escola caminhando ou andando de bicicleta em ao menos um dia na semana. A associação foi testada com a regressão de Poisson e o nível de significância mantido em 5%. A prevalência de deslocamento ativo foi de Palavras-chaveEstruturas de acesso; Adolescente; Atividade motora; Estudos transversais; Brasil.Perceived barriers for active commuting to school among adolescents from Curitiba, BrazilBarreiras percebidas para o deslocamento ativo para a escola entre os adolescentes de Curitiba, Brasil

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Section: Barriers For Active Commuting To Schoolmentioning

confidence: 80%

“…In high-income countries, as United States, Canada and Belgium, the prevalence of active commuting ranges from 50-68% 2-4 whereas in Brazil, despite the limited evidence, the prevalence is somehow similar to high-income countries (49-63%) 5,6 .…”

Section: Introductionmentioning

confidence: 99%

Perceived barriers for active commuting to school among adolescents from Curitiba, Brazil

Becker

Fermino

Lima

et al. 2017

Rev. Bras. Ativ. Fís. Saúde

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“…Adolescents from rural areas were less likely to walk or cycle to school (Sabey et al, 2009;Silva et al, 2011;Wong et aL, 2011 ) pre sumably because of lower school density in rural areas and thus greater distances from an adolescent's home to school Distance from home to school is the most common bar rier to active commut ing to school because it is the primary factor in the parents' decision making process for or against allowing their child to walk or cycle to school (Sirard and Slater, 2008) because it is not feasible to walk or cycle to school if the distance is too far (Nelson et al, 2008;Sirard Distribution of different modes of commuting to school by sodo-dernographic variables for adolescents in Germany, 2003 Boys ( n=938 and Slater, 2008) a reasonable walking and biking distance of Bel gium older adolescents are 2.0 km and 8.0 km, respectively (Van Dyck et aL, 201 0 ). However, the distance from home to school is difficult to measure especially in large scale studies (Chillon et al, 2009; Table S and Gauvin, 2008).…”

Section: Discussionmentioning

confidence: 99%

“…Gender (Bungum et al, 2009;Chillon et al, 2010;Larsen et al, 2009;Pabayo and Gauvin, 2008), socioeco nomic variables such as parental education (Chillon et al, 2009;Shi et al, 2006), income (Babey et al, 2009;Pabayo et al, 2011;Pont et al, 2009;Tudor Locke et al, 2003) and the social, physical (Kerr et al, 2006;Nelson et al, 2008) and residential (Silva et al, 2011;Wong et al, 2011) environments affect commuting behaviour. Espe cially, distance from home to school is a strong barrier of active com muting to school because walking or biking long distances is not feasible (Van Dyck et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Prevalence and socio-demographic correlates of active commuting to school in a nationwide representative sample of German adolescents

Reimers

Jekauc

Peterhans

et al. 2013

Preventive Medicine

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Objective. To assess the prevalence and socio demographic correlates of walking and cycling to school in a nationwide representative cross sectional sample of German adolescents.Methods. A sample of 1828 German adolescents aged 11 17 years were examined between 2003 and 2006. Mode of commuting to school was assessed using a reliable self report measure. Socioeconomic status, migration background and residential area were assessed as socio demographic variables using a parent report question naire.Results. Overall, 19.4% of adolescents walked and 22.2% cycled to school. Compared to girls with high socio economic status, girls with low socioeconomic status were more likely to walk (OR =1.89, 95% CI=1. Conclusions. In Germany many adolescents use motorised transportation. Socio demographic variables were associated with mode of commuting.

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“…Silva et al (43) found that Brazilian adolescents of higher economic levels had a higher prevalence of passive displacement to school than those from lower economic levels. In addition, greater purchasing power can contribute to more time in sedentary activities, which in turn reduces the time spent on leisure activities, since sedentary behavior is also associated with higher maternal education and higher economic level in this population.…”

Section: Brazilian Healthy Eating Index Revised (Bhei-r)mentioning

confidence: 99%

Risk Behaviour Patterns for Chronic Diseases and Associated Factors Among Adolescents

et al. 2017

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ResumenIntroducción/objetivo: la participación simultánea en los comportamientos de riesgo para las enfermedades no transmisibles (ENT) podría ejercer un efecto sinérgico sobre la salud de los adolescentes. El propósito del estudio fue identifi car patrones de comportamiento de riesgo para las ENT en adolescentes y analizar factores asociados. Métodos: se realizó un estudio transversal entre 2009-2011, con 1.716 participantes de entre 10 y 17 años, de un estudio de cohorte en la Región Centro-Oeste, Brasil. Se recogieron las características demográfi cas, económicas, antropométricas y de estilo de vida. Los comportamientos de riesgo evaluados fueron el consumo de alcohol, la experimentación con el tabaco, la actividad física insufi ciente, el comportamiento sedentario, omitir el desayuno y la baja calidad de la dieta. El análisis de componentes principales se utilizó para identifi car patrones de comportamientos de riesgo y el análisis de regresión lineal múltiple para cuantifi car la asociación entre las variables independientes y los patrones de comportamiento de riesgo. Resultados: Se identifi caron tres patrones de comportamientos de riesgo: "drogas legales", "dieta y pantallas" y "omisión". Después del ajuste, el patrón de drogas legales mostró asociación directa con la edad (β = 0,13; IC del 95% = 0,09; 0,16) e inverso con la educación materna (β = -0,07; IC del 95% = -0,14; -0,01). El patrón de dieta y pantallas se asoció directamente con el sexo femenino (β = 0,14; IC del 95% = 0,04; 0,23), la edad (β = 0,11; IC del 95% = 0,08; 0,14) y la clase económica (β = 0,15; IC del 95% = 0,04; 0,25). El patrón de omisión se relacionó directamente con la educación materna (β = 0,09; IC del 95% = 0,03; 0,15), el sobrepeso (β = 0,17; IC del 95% = 0,06; 0,28) y el sexo femenino (β = 0,32; IC del 95% = 0,22; 0,41). Conclusiones: se identifi caron tres patrones de comportamiento de riesgo y los factores asociados fueron el nivel socioeconómico, la edad y el sexo femenino. AbstractBackground/objective: Simultaneous engagement in risk behaviors for chronic non-communicable diseases (NCDs) might exert a synergistic effect on adolescent health. This study aimed to identify risk behavior patterns for NCDs in adolescents and analyze associated factors. Methods: Cross-sectional study conducted between 2009 and 2011, with 1,716 participants aged 10-17 years of a cohort study in Central-West Region, Brazil. Demographic, economic, anthropometric, and lifestyle characteristics were collected. Risk behaviors evaluated were alcohol consumption, tobacco experimentation, insuffi cient physical activity, sedentary behavior, skipping breakfast, and low diet quality. Principal component analysis was used to identify patterns of risk behaviors and multiple linear regression analysis to quantify the association between independent variables and patterns of risk behavior. Results: Three patterns of risk behaviors were identifi ed: "legal drugs", "diet and screens", and "silent". After adjustment, legal drugs pattern showed direct associatio...

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Factors Associated With Active Commuting to School and to Work Among Brazilian Adolescents

Abstract: The proportion of students taking active trips was higher when going to work than to school. All indicators were associated with the mode of commuting, except gender and place of residence for commuting to work.

Cited by 16 publications

References 19 publications

Perceived barriers for active commuting to school among adolescents from Curitiba, Brazil

Perceived barriers for active commuting to school among adolescents from Curitiba, Brazil

Prevalence and socio-demographic correlates of active commuting to school in a nationwide representative sample of German adolescents

Risk Behaviour Patterns for Chronic Diseases and Associated Factors Among Adolescents

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