ABSTRACT

OBJECTIVE:

To analyze the moderator effect of socioeconomic status in the association between the perceived environment and active commuting to school.

METHODS:

A total of 495 adolescents and their parents were interviewed. Perceived environment was operationalized in traffic and crime safety and assessed with the Neighborhood Environment Walkability Scale. Active commuting was self-reported by the adolescents, categorized in walking, bicycling or skating at least one time/week. Socioeconomic status was used as moderator effect, reported from adolescents' parents or guardians using Brazilian standardized socioeconomic status classification. Analyses were performed with Poisson regression on Stata 12.0.

RESULTS:

Prevalence of active commuting was 63%. Adolescents with low socioeconomic status who reported “it is easy to observe pedestrians and cyclists” were more likely to actively commute to school (PR = 1.18, 95%CI 1.03–1.13). Adolescents with low socioeconomic status whose parents or legal guardians reported positively to “being safe crossing the streets” had increased probability of active commuting to school (PR = 1.10, 95%CI 1.01–1.20), as well as those with high socioeconomic status with “perception of crime” were positively associated to the outcome (PR = 1.33, 95%CI 1.03–1.72).

CONCLUSIONS:

Socioeconomic status showed moderating effects in the association between the perceived environment and active commuting to school.

DESCRIPTORS:
Adolescent; Parent-Child Relations; Socioeconomic Factors; Social Environment; Transportation

INTRODUCTION

Global estimates suggest eight in every 10 adolescents do not comply with recommendations of daily 60 minutes of moderate-to-vigorous physical activities¹1. Sallis JF, Bull F, Guthold R, Heath GW, Inoue S, Kelly P, et al. Progress in physical activity over the Olympic quadrennium. Lancet. 2016;388(10051):1325-36. https://doi.org/10.1016/S0140-6736(16)30581-5
https://doi.org/10.1016/S0140-6736(16)30... , similar to those in Brazil²2. Instituto Brasileiro de Geografia e Estatística. Pesquisa Nacional de Saúde do Escolar: 2015 [cited 2018 Feb 20]. Rio de Janeiro: IBGE; 2016. Available from: https://biblioteca.ibge.gov.br/visualizacao/livros/liv97870.pdf
https://biblioteca.ibge.gov.br/visualiza... . One possibility to increase physical activity levels is the incentive for daily active commuting, characterized by walking or bicycling to school, work or other destinations³3. Larouche R, Saunders TJ, Faulkner G, Colley R, Tremblay M. Associations between active school transport and physical activity, body composition, and cardiovascular fitness: a systematic review of 68 studies. J Phys Act Health. 2014;11(1):206-27. https://doi.org/10.1123/jpah.2011-0345
https://doi.org/10.1123/jpah.2011-0345... . In fact, a positive association between active commuting and health indicators, such as body composition and cardiovascular fitness in children and adolescents, has been reported in the literature³3. Larouche R, Saunders TJ, Faulkner G, Colley R, Tremblay M. Associations between active school transport and physical activity, body composition, and cardiovascular fitness: a systematic review of 68 studies. J Phys Act Health. 2014;11(1):206-27. https://doi.org/10.1123/jpah.2011-0345
https://doi.org/10.1123/jpah.2011-0345... . However, the percentage of active commuting to school in adolescents varies from 35% to 70%⁴4. D'Haese S, De Meester F, De Bourdeaudhuij I, Deforche B, Cardon G. Criterion distances and environmental correlates of active commuting to school in children. Int J Behav Nutr Phys Act. 2011;8:88. https://doi.org/10.1186/1479-5868-8-88
https://doi.org/10.1186/1479-5868-8-88... ^–77. Silva KS, Pizarro AN, Garcia LMT, Mota J, Santos MP. Which social support and psychological factors are associated to active commuting to school? Prev Med. 2014;63:20-3. https://doi.org/10.1016/j.ypmed.2014.02.019
https://doi.org/10.1016/j.ypmed.2014.02.... in high income countries and between 12% and 70%⁸8. Costa FF, Silva KS, Schmoelz CP, Campos VC, Assis MA. Longitudinal and cross-sectional changes in active commuting to school among Brazilian schoolchildren. Prev Med. 2012;55(3):212-4. https://doi.org/10.1016/j.ypmed.2012.06.023
https://doi.org/10.1016/j.ypmed.2012.06.... ^,99. Santos CM, Barbosa JMV, Cheng LA, Wanderley Júnior RS, Barros MVG. Atividade física no contexto dos deslocamentos: revisão sistemática dos estudos epidemiológicos realizados no Brasil. Rev Bras Ativ Fis Saude. 2009 [cited 2018 Feb 20];14(1):15-22. Available from: https://periodicos.ufpel.edu.br/ojs2/index.php/RBAFS/article/view/749/757
https://periodicos.ufpel.edu.br/ojs2/ind... in Brazil. This indicates a high individual and regional variability, such as cities' built environments, policies and social characteristics.

Individual (gender, income)⁵5. Voorhees CC, Ashwood S, Evenson KR, Sirard JR, Rung AL, Dowda M, et al. Neighborhood design and perceptions: relationship with active commuting. Med Sci Sports Exerc. 2010;42(7):1253-60. https://doi.org/10.1249/MSS.0b013e3181cd5dfd
https://doi.org/10.1249/MSS.0b013e3181cd... ^,66. Nelson NM, Woods CB. Neighborhood perceptions and active commuting to school among adolescent boys and girls. J Phys Act Health. 2010;7(2):257-66. https://doi.org/10.1123/jpah.7.2.257
https://doi.org/10.1123/jpah.7.2.257... , psychosocial (social support)⁷7. Silva KS, Pizarro AN, Garcia LMT, Mota J, Santos MP. Which social support and psychological factors are associated to active commuting to school? Prev Med. 2014;63:20-3. https://doi.org/10.1016/j.ypmed.2014.02.019
https://doi.org/10.1016/j.ypmed.2014.02.... ^,1010. Leslie E, Kremer P, Toumbourou JW, Williams JW. Gender differences in personal, social and environmental influences on active travel to and from school for Australian adolescents. J Sci Med Sport. 2010;13(6):597-601. https://doi.org/10.1016/j.jsams.2010.04.004
https://doi.org/10.1016/j.jsams.2010.04.... , perceived (aesthetics)⁵5. Voorhees CC, Ashwood S, Evenson KR, Sirard JR, Rung AL, Dowda M, et al. Neighborhood design and perceptions: relationship with active commuting. Med Sci Sports Exerc. 2010;42(7):1253-60. https://doi.org/10.1249/MSS.0b013e3181cd5dfd
https://doi.org/10.1249/MSS.0b013e3181cd... ^,66. Nelson NM, Woods CB. Neighborhood perceptions and active commuting to school among adolescent boys and girls. J Phys Act Health. 2010;7(2):257-66. https://doi.org/10.1123/jpah.7.2.257
https://doi.org/10.1123/jpah.7.2.257... ^,1111. Evenson KR, Birnbaum AS, Bedimo-Rung AL, Sallis JF, Voorhees CC, Ring K, et al. Girls' perception of physical environmental factors and transportation: reliability and association with physical activity and active transport to school. Int J Behav Nutr Phys Act. 2006;3:28. https://doi.org/10.1186/1479-5868-3-28
https://doi.org/10.1186/1479-5868-3-28... , and built environment variables (distance to school, number of crossings and residential density)⁴4. D'Haese S, De Meester F, De Bourdeaudhuij I, Deforche B, Cardon G. Criterion distances and environmental correlates of active commuting to school in children. Int J Behav Nutr Phys Act. 2011;8:88. https://doi.org/10.1186/1479-5868-8-88
https://doi.org/10.1186/1479-5868-8-88... ^,1212. Aarts MJ, Mathijssen JJ, Oers JA, Schuit AJ. Associations between environmental characteristics and active commuting to school among children: a cross-sectional study. Int J Behav Med. 2013;20(4):538-55. https://doi.org/10.1007/s12529-012-9271-0
https://doi.org/10.1007/s12529-012-9271-... are associated to adolescents' active commuting to school. Moreover, evidence suggests that the way parents perceive the environment may also affect the choice of their children's mode of commuting⁴4. D'Haese S, De Meester F, De Bourdeaudhuij I, Deforche B, Cardon G. Criterion distances and environmental correlates of active commuting to school in children. Int J Behav Nutr Phys Act. 2011;8:88. https://doi.org/10.1186/1479-5868-8-88
https://doi.org/10.1186/1479-5868-8-88... ^,1212. Aarts MJ, Mathijssen JJ, Oers JA, Schuit AJ. Associations between environmental characteristics and active commuting to school among children: a cross-sectional study. Int J Behav Med. 2013;20(4):538-55. https://doi.org/10.1007/s12529-012-9271-0
https://doi.org/10.1007/s12529-012-9271-... ^–1616. Kerr J, Rosenberg D, Sallis JF, Saelens BE, Frank LD, Conway TL. Active commuting to school: associations with environment and parental concerns. Med Sci Sports Exerc. 2006;38(4):787-94. https://doi.org/10.1249/01.mss.0000210208.63565.73
https://doi.org/10.1249/01.mss.000021020... . Most perceived environment variables present inconclusive associations with active commuting, especially those related to traffic¹⁷17. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... . Nonetheless, studies investigating such associations were from high income countries, and evidence is lacking in Brazilian populations¹⁷17. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... .

Theoretical models suggest that parents or legal guardians' perception on lack of safety (theft, robbery, and dangerous crossings) may influence their reasoning when allowing the adolescent to actively commute to school¹⁶16. Kerr J, Rosenberg D, Sallis JF, Saelens BE, Frank LD, Conway TL. Active commuting to school: associations with environment and parental concerns. Med Sci Sports Exerc. 2006;38(4):787-94. https://doi.org/10.1249/01.mss.0000210208.63565.73
https://doi.org/10.1249/01.mss.000021020... ^,1818. Mandic S, Leon de la Barra S, García Bengoechea E, Stevens E, Flaherty C, Moore A, et al. Personal, social and environmental correlates of active transport to school among adolescents in Otago, New Zealand. J Sci Med Sport. 2015;18(4):432-7. https://doi.org/10.1016/j.jsams.2014.06.012
https://doi.org/10.1016/j.jsams.2014.06.... . Even though no studies have been identified where parental socioeconomic status (SES) may be associated to active commuting to school in adolescents, studies with adults show that those with higher income and negative perception of safety are less likely to actively commute in the neighborhood they reside¹⁹19. Rech CR, Reis RS, Hino AAF, Rodriguez-Añez CR, Fermino RC, Gonçalves PB, et al. Neighborhood safety and physical inactivity in adults from Curitiba, Brazil. Int J Behav Nutr Phys Act. 2012;9:72. https://doi.org/10.1186/1479-5868-9-72
https://doi.org/10.1186/1479-5868-9-72... . However, lack of evidence on perceived environment in adolescents and their parents with active commuting to school highlights the need for such investigation. To this moment, no evidence has been provided on the moderator effect that SES may have in the association between the perceived environment and active commuting to school. A better understanding of this relationship can improve the implementation and orientation of strategies to promote active commuting to school by making objective changes to the environment or altering perception of residents.

The aim of this study was to test the moderator effect of the SES in the association between the perception of adolescents and their parents or legal guardians on neighborhood environment and active commuting to school in adolescents.

METHODS

Characteristics of the Study and Ethical Aspects

The data used in this study is part of an international, multicenter project conducted in 19 countries (IPEN – International Physical Activity and the Environment Network). In Brazil, data was collected in the city of Curitiba, state of Paraná, between the months of August 2013 and May 2014. This is a cross-sectional study with household and face-to-face interviews. More information about the study is available in the literature²⁰20. Alberico CO, Schipperijn J, Reis RS. Use of global positioning system for physical activity research in youth: ESPAÇOS Adolescentes, Brazil. Prev Med. 2017;103 Suppl: S59-65. https://doi.org/10.1016/j.ypmed.2016.12.026
https://doi.org/10.1016/j.ypmed.2016.12.... . The Project was approved by the Ethics Committee at the Pontifícia Universidade Católica do Paraná (Process 135-945/2012), and adolescents and their parents signed an informed consent.

Selection of Census Tracts

The 2,395 census tracts in the city were considered primary sampling units and selected according to walkability and income²⁰20. Alberico CO, Schipperijn J, Reis RS. Use of global positioning system for physical activity research in youth: ESPAÇOS Adolescentes, Brazil. Prev Med. 2017;103 Suppl: S59-65. https://doi.org/10.1016/j.ypmed.2016.12.026
https://doi.org/10.1016/j.ypmed.2016.12.... ^,2121. Reis RS, Hino AAF, Rech CR, Kerr J, Hallal PC. Walkability and physical activity: findings from Curitiba, Brazil. Am J Prev Med. 2013;45(3):269-75. https://doi.org/10.1016/j.amepre.2013.04.020
https://doi.org/10.1016/j.amepre.2013.04... . Walkability was defined as a combination of characteristics on land-use mix, residential density and street connectivity, being a measure consistently related with physical activity²¹21. Reis RS, Hino AAF, Rech CR, Kerr J, Hallal PC. Walkability and physical activity: findings from Curitiba, Brazil. Am J Prev Med. 2013;45(3):269-75. https://doi.org/10.1016/j.amepre.2013.04.020
https://doi.org/10.1016/j.amepre.2013.04... . Land-use mix was determined according to the distribution of five categories (residential, commercial, recreational, educational/cultural, and other). Residential density was calculated by the ratio between residential units and land area. Street connectivity was computed as the density of intersections within a certain census tract. Raw values were normalized, and z-scores calculated.

Aiming to maximize the variability in walkability and income, census tracts were classified in deciles for both variables. Four groups were created to represent locations with: “high walkability and high income”, “high walkability and low income”, “low walkability and high income” and “low walkability and low income”. Eight census tracts were intentionally selected from each group (n = 32 census tracts in total).

Selection of Households and Participants

Street segments were listed for all blocks within census tracts, the first being located on the southeast extreme of the census tract. Homes were visited in person from the left upper side of the block, clockwise. In case a family refused to participate or there were no adolescents in the household, the next home on the left side was visited.

For each home, one adolescent and one of their parents or legal guardians were selected. The order of selection was: younger females, followed by older males, to allow for an equitable gender selection. In case the selected adolescent refused to participate, another from the same household could be intentionally recruited. According to recommendations of the project protocol, minimum sample should be of 300 adolescents.

Adolescents included were 12–17 years old, residing in the census tract for at least one year from data collection and must be enrolled in school. Those with physical limitations preventing physical activity or cognitive limitations preventing comprehension of the questionnaire were excluded from data collection.

Data Collection

Twenty-three undergraduate and graduate students were responsible for interviewing families after 12 hours of training. Sessions included selection criteria, how to approach homes and participants, surveys, concepts, reading questions and emphasis on highlighted topics, identification of appropriated answers, and forms and identification of refusal. Simulation of the data collection process was done to ensure understanding about procedures.

Dependent Variable

Active commuting to school was assessed by the question: “In a regular week, how many days and for how long do you use the following transport mode to go to or come back from school?”. Six options were available: walking, bicycle, skateboard, public transport, school bus or car.

For analysis purpose, the variable “active commuting to school” was operationalized by weekly frequency, in “zero time/week” versus “≥ 1 times/week”, independent from time spent in commute. This measure and its operationalization have been used in similar studies⁴4. D'Haese S, De Meester F, De Bourdeaudhuij I, Deforche B, Cardon G. Criterion distances and environmental correlates of active commuting to school in children. Int J Behav Nutr Phys Act. 2011;8:88. https://doi.org/10.1186/1479-5868-8-88
https://doi.org/10.1186/1479-5868-8-88... ^,77. Silva KS, Pizarro AN, Garcia LMT, Mota J, Santos MP. Which social support and psychological factors are associated to active commuting to school? Prev Med. 2014;63:20-3. https://doi.org/10.1016/j.ypmed.2014.02.019
https://doi.org/10.1016/j.ypmed.2014.02.... .

Independent Variables

Neighborhood environment perception of adolescents and their parents or legal guardians was assessed by the Neighborhood Environment Walkability Scale (NEWS). There are two versions of this instrument, one specific for adolescents (NEWS-Youth) and one for adults (NEWS-Adults). Both were translated, adapted and validated to the Brazilian context²²22. Lima AV, Rech CR, Reis RS. Equivalência semântica, de itens e conceitual da versão brasileira do Neighborhood Environment Walkability Scale for Youth (NEWS-Y). Cad Saude Publica. 2013;29(12):2547-53. https://doi.org/10.1590/0102-311X00182512
https://doi.org/10.1590/0102-311X0018251... ^,2323. Malavasi LM, Duarte MFS, Both J, Reis RS. Neighborhood walkability scale (News - Brazil): Back translation and Reliability. Rev Bras Cineantropom Desempenho Hum. 2007;9(4):339-50. https://doi.org/10.5007/%25x
https://doi.org/10.5007/%25x... .

Eight questions were selected from NEWS and NEWS-Youth, related to perception of safety in traffic, and seven on perception of crime, potentially associated to active commuting to school in adolescents⁴4. D'Haese S, De Meester F, De Bourdeaudhuij I, Deforche B, Cardon G. Criterion distances and environmental correlates of active commuting to school in children. Int J Behav Nutr Phys Act. 2011;8:88. https://doi.org/10.1186/1479-5868-8-88
https://doi.org/10.1186/1479-5868-8-88... ^,1616. Kerr J, Rosenberg D, Sallis JF, Saelens BE, Frank LD, Conway TL. Active commuting to school: associations with environment and parental concerns. Med Sci Sports Exerc. 2006;38(4):787-94. https://doi.org/10.1249/01.mss.0000210208.63565.73
https://doi.org/10.1249/01.mss.000021020... . The eight questions on traffic safety were: 1) “Is there a lot of traffic in your neighborhood preventing you from walking?”; 2) “Is the traffic speed usually low?”; 3) “Do cars drive by above the speed limit?”; 4) “Is there a lot of smoke/pollution from exhaust fumes?”; 5) “Are the streets well lit at night?”; 6) “Are pedestrians and bicyclists easily seen from inside your home?”; 7) “Are there crosswalks and signals for pedestrians to cross?”; 8) “Do you feel safe crossing the streets in your neighborhood?”. The seven questions on crime safety were: 1) “Is there a lot of crime in your neighborhood?”; 2) “Does crime make it unsafe to walk during the day?”; 3) “Does crime make it unsafe to walk at night?”; 4) “Do you worry about being alone around your neighborhood?”; 5) “Do you worry about being with a friend around your home?”; 6) “Do you worry about being around your home because you are afraid of being robbed?”; 7) “Do you worry about being in parks around your home because you are afraid of being robbed?”. Parents were questioned about environment perception related to safety of their children (Tables 1 and 2). Answers were in a four-point Likert scale: “totally disagree”, “disagree a little”, “agree a little” and “totally agree”. For analysis purpose, the options “totally disagree” and “disagree a little” were grouped and operationalized as “no” (code: 0). Options “agree a little” and “totally agree” were grouped and operationalized as “yes” (code: 1), which represented, respectively, lack and presence of attribute.

Based on the sum of individual items, a safety perception score was computed for traffic and crime. Some variables were recoded (0 to 1) to better represent the perception of the environment (safer). On traffic perception, questions 1, 3 and 4 were recoded while all questions on crime perception were recoded. Three safety perception indicators were operationalized based on the scores: 1) traffic; 2) crime and 3) general safety (traffic + crime), categorized in tertiles, indicating “low”, “medium” and “high” environment perception.

Covariables

The following variables were included as covariables: gender, age group, perception of time spent walking to school, moderate-to-vigorous physical activity in leisure time and period of the day spent in school. Parents or legal guardians' variables included were: car ownership, active commuting in the neighborhood and leisure time physical activity.

The adolescents' gender was observed (“male”, “female”) and their age classified into three age groups (“12–13 years”, “14–15 years” and “16–17 years”). Body mass (kg) and height (cm) were measured and used to calculate body mass index (BMI) and estimated nutritional status, categorized in “normal weight” (low weight and normal weight) and “overweight” (overweight and obese), specific for Brazilian adolescents. Perceived distance to school was assessed with the question: “How long does/would it take for you to walk to school? (even if you don't walk)”⁴4. D'Haese S, De Meester F, De Bourdeaudhuij I, Deforche B, Cardon G. Criterion distances and environmental correlates of active commuting to school in children. Int J Behav Nutr Phys Act. 2011;8:88. https://doi.org/10.1186/1479-5868-8-88
https://doi.org/10.1186/1479-5868-8-88... ^,1212. Aarts MJ, Mathijssen JJ, Oers JA, Schuit AJ. Associations between environmental characteristics and active commuting to school among children: a cross-sectional study. Int J Behav Med. 2013;20(4):538-55. https://doi.org/10.1007/s12529-012-9271-0
https://doi.org/10.1007/s12529-012-9271-... . The answers were grouped into four categories: “≤ 10 min”, “11–20 min”, “21–30 min” and “≥ 31 min”. Leisure time moderate-to-vigorous physical activity, in a regular week, was self-reported as the weekly frequency and duration of any type of activity in that intensity (swimming, sports, dance, races, gymnastics, walking, skateboarding, etc.)²⁴24. Farias Júnior JC, Lopes AS, Mota J, Santos MP, Ribeiro JC, Hallal PC. Validade e reprodutibilidade de um questionário para medida de atividade física em adolescentes: uma adaptação do Self-Administered Physical Activity Checklist. Rev Bras Epidemiol. 2012;15(1):198-210. https://doi.org/10.1590/S1415-790X2012000100018
https://doi.org/10.1590/S1415-790X201200... . The volume of physical activity was classified in: “< 300 min/week” and “≥ 300 min/week”. The period spent in school was categorized as “morning” or “afternoon/evening”.

An adult considered parent or a legal guardian for the adolescent participated in the survey. For the analysis, the options “grandmother”, “grandfather”, “uncle”, “aunt” and “other” were operationalized as “other”. Car ownership was assessed by the question: “How many motor vehicles (cars, motorcycles, etc.) do you own?”. The answer was classified as “no” (zero vehicles) and “yes” (≥ 1 vehicles). Active commuting was assessed by the question: “Do you walk or bike for at least 10 consecutive minutes to go from one place to another in the neighborhood?” (“no”, “yes”). Total leisure time physical activity was assessed by the long version of the International Physical Activity Questionnaire²⁵25. Matsudo S, Araújo T, Matsudo V, Andrade D, Andrade E, Oliveira LC, et al. Questionário Internacional de Atividade Física (IPAQ): estudo de validade e reprodutibilidade no Brasil. Rev Bras Ativ Fis Saude. 2001 [cited 2018 Feb 20];6(2):5-18. Available from: https://periodicos.ufpel.edu.br/ojs2/index.php/RBAFS/article/view/931/1222
https://periodicos.ufpel.edu.br/ojs2/ind... , and its score calculated by the equation: [walking + moderate activity + (vigorous × 2)], and then classified in two categories: “< 150 min/week” and “≥ 150 min/week”.

Moderator Variable

The SES was assessed by a standard questionnaire which considers a number of domestic appliances, presence of a housekeeper, and education of the financial provider for the household²⁶26. Associação Brasileira de Empresas de Pesquisa. Critério de classificação econômica Brasil. São Paulo: ABEP; 2013 [cited 2018 Feb]. Available from: http://www.abep.org/.
http://www.abep.org/... , later classified in seven levels. For the analysis purpose of the moderator effect, participants were classified in two SES: “low” (classes C+D+E) and “high” (classes A+B).

Data Analysis

Poisson regression was used to test the association between the perceived environment for adolescents and their parent or legal guardians and active commuting to school. In order to test the possible moderator effect, the SES was included in the model (“low” versus “high”). After bivariate analysis, the multivariate model was adjusted for individual variable which presented p < 0.20 in the bivariate model (adolescents: gender, age group, perception of time spent to walk to school, leisure time moderate-to-vigorous physical activity, period spent in school; parents: car ownership). Data were analyzed in Stata 12.0 and significance level was kept at 5%.

RESULTS

A total of 495 adolescents were interviewed (50.7% girls), as well as their respective parents or legal guardians (74.9% mothers). Refusal rate of participation was 16% (n = 94), similar between neighborhood income. Frequency of active commuting was 63.0%, being higher among adolescents of low SES (80.3% versus 52.2%, p < 0.001).

Most adolescents were within the 12-13 years-old age group (41.4%), had normal nutritional status (59.3%), their perceived distance walking to school was ≥ 31 minutes (30.7%), leisure time moderate-to-vigorous physical activity was < 300 min/week (60.2%), and studied during the morning period (66.3%) (Table 1). For parents or legal guardians, a higher proportion owned at least one motor vehicle (79.0%), were active commuters through the neighborhood (60.2%), and practiced < 150 min/week of leisure time moderate-to-vigorous physical activities (75.9%). Among individuals of low SES, there was higher proportion of other relatives (grandmother, grandfather, aunt, uncle, brother) as responsible for the adolescent (p < 0.001). The high SES was associated to car ownership and with ≥ 150 min/week of total leisure time physical activity (p < 0.001) (Table 1). For parents or legal guardians, the perception of neighborhood characteristics such as “drivers drive over the speed limit”, “streets are well lit at night” and “pedestrians and bicyclists can be easily seen from inside their homes”, was positively associated to low SES (p < 0.05) (Table 1).

In the bivariate analysis for low SES adolescents, the fact that it was possible to “see pedestrians and bicyclists from inside their homes” was positively associated to active commuting to school (PR = 1.29, 95%CI 1.05–1.57), while “concern of being alone around the home” was inversely associated to the outcome (PR = 0.83, 95%CI 0.69–0.97) (Table 2). On parents or legal guardians' perception, those of high SES perceived “a lot of smoke and pollution” (PR = 1.20, 95%CI 1.02–1.41) and that “streets were well lit at night” (PR = 1.30, 95%CI 1.09–1.55) were positively associated to active commuting to school (Table 3).

After adjusting for confounding variables, only the perception of being possible to “see pedestrians and bicyclists from inside their homes” remained positively associated to active commuting to school among low SES adolescents (PR = 1.18, 95%CI 1.03–1.36) (Table 2). For parents or legal guardians' perception, among those of low SES, the perception of “being safe for adolescents to cross the street in the neighborhood” was positively associated to adolescents' active commuting to school (PR = 1.10, 95%CI 1.01–1.20). For those of high SES, the “perception of too much crime in the neighborhood” was positively associated to active commuting (PR = 1.33, 95%CI 1.03–1.72) (Table 3).

DISCUSSION

This is the first study looking to identify the association between the perceived environment of the neighborhood by adolescents and their parents or legal guardians and active commuting to school in Brazilian adolescents. Moreover, the first to explore the moderator effect of the SES in this association. The methodology allowed to explore how different perceptions of the environment may affect the behavior of adolescents in active commuting to school, that being the strength of this study. Previous studies have tested the association between the isolated environment perception of adolescents and their guardians and active commuting to school¹⁷17. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... .

The proportion of active commuting to school was higher among adolescents of low SES (80.3% versus 52.2%, p < 0.001). The premise that the environment perception by guardians could, somehow, influence the decision to allow their children to commute actively to school, was not confirmed in most associations tested independent from SES.

In the present study the perception of being possible to “see pedestrian and bicyclists from inside the home” increased in 18% the probability of active commuting to school for low SES adolescents. Only one study testing this association with a similar variable was found¹¹11. Evenson KR, Birnbaum AS, Bedimo-Rung AL, Sallis JF, Voorhees CC, Ring K, et al. Girls' perception of physical environmental factors and transportation: reliability and association with physical activity and active transport to school. Int J Behav Nutr Phys Act. 2006;3:28. https://doi.org/10.1186/1479-5868-3-28
https://doi.org/10.1186/1479-5868-3-28... . Evenson et al.¹¹11. Evenson KR, Birnbaum AS, Bedimo-Rung AL, Sallis JF, Voorhees CC, Ring K, et al. Girls' perception of physical environmental factors and transportation: reliability and association with physical activity and active transport to school. Int J Behav Nutr Phys Act. 2006;3:28. https://doi.org/10.1186/1479-5868-3-28
https://doi.org/10.1186/1479-5868-3-28... found a negative association between the fact of “seeing people in the neighborhood” and active commute to school in girls in the United States, such results being different from the present study. This difference may be partly explained by an increased concern by guardians to girls' exposure to more dangerous environments²⁷27. Foster S, Giles-Corti B. The built environment, neighborhood crime and constrained physical activity: an exploration of inconsistent findings. Prev Med. 2008;47(3):241-51. https://doi.org/10.1016/j.ypmed.2008.03.017
https://doi.org/10.1016/j.ypmed.2008.03.... . However, exploratory analyses did not identify an association between the perception of guardians and adolescents' gender (data not presented). Moreover, it is important to highlight the measurement and how participants were asked about it “being possible to see other people in the community” (“from inside their homes” versus “see people in the neighborhood in general”). This could, somehow, modify the perception of those related to this characteristic¹¹11. Evenson KR, Birnbaum AS, Bedimo-Rung AL, Sallis JF, Voorhees CC, Ring K, et al. Girls' perception of physical environmental factors and transportation: reliability and association with physical activity and active transport to school. Int J Behav Nutr Phys Act. 2006;3:28. https://doi.org/10.1186/1479-5868-3-28
https://doi.org/10.1186/1479-5868-3-28... . In the present study, the moderator effect of low SES in the association found may be explained by the fact that adolescents of lower SES would find active commute a necessity, once it includes an economic cost and fewer access to motorized means of transportation. This characteristic could increase the perception of being possible to see people in the neighborhood²⁸28. Henne HM, Tandon PS, Frank LD, Saelens BE. Parental factors in children's active transport to school. Public Health. 2014;128(7):643-6. https://doi.org/10.1016/j.puhe.2014.05.004
https://doi.org/10.1016/j.puhe.2014.05.0... .

For parents or legal guardians of low SES, perception of safety related to crossings may increase in 10% the probability of adolescents engaging in active commute to school. Only one study found similar results¹⁵15. Muthuri SK, Wachira LJ, Onywera VO, Tremblay MS. Associations between parental perceptions of the neighbourhood environment and childhood physical activity: results from ISCOLE-Kenya. J Phys Act Health. 2015;13(3):333-43. https://doi.org/10.1123/jpah.2014-0595
https://doi.org/10.1123/jpah.2014-0595... . Other evidence has pointed to the positive association between better general characteristics of traffic (signals, signs indicating speed control, traffic volume, etc.) and active commute to school¹³13. Oluyomi AO, Lee C, Nehme E, Dowdy D, Ory MG, Hoelscher DM. Parental safety concerns and active school commute: correlates across multiple domains in the home-to-school journey. Int J Behav Nutr Phys Act. 2014;11(1):32. https://doi.org/10.1186/1479-5868-11-32
https://doi.org/10.1186/1479-5868-11-32... ^,1414. Timperio A, Ball K, Salmon J, Roberts R, Giles-Corti B, Simmons D, et al. Personal, family, social, and environmental correlates of active commuting to school. Am J Prev Med. 2006;30(1):45-51. https://doi.org/10.1016/j.amepre.2005.08.047
https://doi.org/10.1016/j.amepre.2005.08... ^,1616. Kerr J, Rosenberg D, Sallis JF, Saelens BE, Frank LD, Conway TL. Active commuting to school: associations with environment and parental concerns. Med Sci Sports Exerc. 2006;38(4):787-94. https://doi.org/10.1249/01.mss.0000210208.63565.73
https://doi.org/10.1249/01.mss.000021020... ^,1717. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... ^,2929. Ducheyne F, De Bourdeaudhuij I, Spittaels H, Cardon G. Individual, social and physical environmental correlates of ‘never’ and ‘always’ cycling to school among 10 to 12 year old children living within a 3.0 km distance from school. Int J Behav Nutr Phys Act. 2012;9:142. https://doi.org/10.1186/1479-5868-9-142
https://doi.org/10.1186/1479-5868-9-142... ^,3030. Olvera N, Smith DW, Lee C, Liu J, Lee J, Kellam S, et al. Hispanic maternal and children's perceptions of neighborhood safety related to walking and cycling. Health Place. 2012;18(1):71-5. https://doi.org/10.1016/j.healthplace.2011.08.022
https://doi.org/10.1016/j.healthplace.20... , these being similar to what was found. In fact, some studies suggest that better traffic conditions could increase the perception of safety of individuals, facilitating active commuting¹³13. Oluyomi AO, Lee C, Nehme E, Dowdy D, Ory MG, Hoelscher DM. Parental safety concerns and active school commute: correlates across multiple domains in the home-to-school journey. Int J Behav Nutr Phys Act. 2014;11(1):32. https://doi.org/10.1186/1479-5868-11-32
https://doi.org/10.1186/1479-5868-11-32... ^,3030. Olvera N, Smith DW, Lee C, Liu J, Lee J, Kellam S, et al. Hispanic maternal and children's perceptions of neighborhood safety related to walking and cycling. Health Place. 2012;18(1):71-5. https://doi.org/10.1016/j.healthplace.2011.08.022
https://doi.org/10.1016/j.healthplace.20... . The diminished access to motor vehicles by guardians of low SES (49.2% versus 98.3%, p < 0.001) may contribute to more active commuting through neighborhood streets (73.3% versus 51.7%, p < 0.001). This characteristic, associated to the impossibility of guardians to pay for public or private transport for their children to go to school, would allow better knowledge of neighborhood characteristics²⁸28. Henne HM, Tandon PS, Frank LD, Saelens BE. Parental factors in children's active transport to school. Public Health. 2014;128(7):643-6. https://doi.org/10.1016/j.puhe.2014.05.004
https://doi.org/10.1016/j.puhe.2014.05.0... .

Parents or legal guardians of high SES had the perception of crime positively associated to active commute to school (PR = 1.33, 95%CI 1.03–1.72). Several studies have explored the association between the different variables for perception of crime and active commute to school and have not found significant association between the variables⁴4. D'Haese S, De Meester F, De Bourdeaudhuij I, Deforche B, Cardon G. Criterion distances and environmental correlates of active commuting to school in children. Int J Behav Nutr Phys Act. 2011;8:88. https://doi.org/10.1186/1479-5868-8-88
https://doi.org/10.1186/1479-5868-8-88... ^,1717. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... ^,2929. Ducheyne F, De Bourdeaudhuij I, Spittaels H, Cardon G. Individual, social and physical environmental correlates of ‘never’ and ‘always’ cycling to school among 10 to 12 year old children living within a 3.0 km distance from school. Int J Behav Nutr Phys Act. 2012;9:142. https://doi.org/10.1186/1479-5868-9-142
https://doi.org/10.1186/1479-5868-9-142... . In spite of similarity to this study in several of the associations tested, except for the presence of crime in the neighborhood, there is inconsistency in the results of studies looking into this variable. For example, a study in Nairobi (Kenya) did not find associations between the perception of crime and active commuting¹⁵15. Muthuri SK, Wachira LJ, Onywera VO, Tremblay MS. Associations between parental perceptions of the neighbourhood environment and childhood physical activity: results from ISCOLE-Kenya. J Phys Act Health. 2015;13(3):333-43. https://doi.org/10.1123/jpah.2014-0595
https://doi.org/10.1123/jpah.2014-0595... . The positive association found in this study is different than what is expected and reported in the literature, allowing us to hypothesize this to be a spurious association due to characteristics of the sample.

Most variables of environment perception explored in this study were not associated to active commuting. However, it is important to highlight that these results are similar to those verified in the literature¹⁷17. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... . D'Haese et al.¹⁷17. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... state that results from cross-sectional studies tend to present a positive association between few variables for perception of traffic and active commute to school. Nonetheless, the same authors affirm that such associations are not verified when considering perception of crime¹⁷17. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... . The lack of associations between perception of traffic and crime and active commute to school in adolescents in this study may be due to the fact that this behavior is influenced by other predictors in the neighborhood¹⁷17. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... . For example, studies show that adolescents living in high walkability neighborhoods and access to services are more likely to actively commute to school when compared to adolescents living in antagonist neighborhoods¹⁶16. Kerr J, Rosenberg D, Sallis JF, Saelens BE, Frank LD, Conway TL. Active commuting to school: associations with environment and parental concerns. Med Sci Sports Exerc. 2006;38(4):787-94. https://doi.org/10.1249/01.mss.0000210208.63565.73
https://doi.org/10.1249/01.mss.000021020... ^,1717. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... .

Some limitations must be considered when interpreting and extrapolating results. The sample is not representative of adolescents in the city, once participants were selected from intentionally selected census tracts to generate contrasts for walkability and income. It is likely that associations tested in this study present different results if census tracts with less variability were considered. Moreover, other characteristics were not considered in this study, as parents' (“father” or “mother”) perceptions and environmental (walkability, aesthetics, access to services, mixed land use) ones, which can be associated to the outcome¹⁶16. Kerr J, Rosenberg D, Sallis JF, Saelens BE, Frank LD, Conway TL. Active commuting to school: associations with environment and parental concerns. Med Sci Sports Exerc. 2006;38(4):787-94. https://doi.org/10.1249/01.mss.0000210208.63565.73
https://doi.org/10.1249/01.mss.000021020... ^,1717. D'Haese S, Vanwolleghem G, Hinckson E, De Bourdeaudhuij I, Deforche B, Van Dyck D, et al. Cross-continental comparison of the association between the physical environment and active transportation in children: a systematic review. Int J Behav Nutr Phys Act. 2015;12:145. https://doi.org/10.1186/s12966-015-0308-z
https://doi.org/10.1186/s12966-015-0308-... . At last, the cross-sectional design does not allow for a causal relationship to be determined.

In conclusion, the SES presented a moderating effect in the association between the perceived environment by adolescents and their parents or legal guardians, with active commuting to school. For adolescents with low SES, the fact that they can “see pedestrians and cyclists from inside their homes” was positively associated with active commute to school. For parents or legal guardian with low SES, perception of safety to “cross the streets in the neighborhood” was positively associated with active commute, while for those with high SES, perception of crime was associated to the outcome.

The improvement in the conditions of neighborhood safety may positively influence the perception of safety in adolescents and their parents or legal guardians. Presence of traffic signals in commuting routes to school and in school surroundings could improve the probability of active commuting to school¹⁸18. Mandic S, Leon de la Barra S, García Bengoechea E, Stevens E, Flaherty C, Moore A, et al. Personal, social and environmental correlates of active transport to school among adolescents in Otago, New Zealand. J Sci Med Sport. 2015;18(4):432-7. https://doi.org/10.1016/j.jsams.2014.06.012
https://doi.org/10.1016/j.jsams.2014.06.... . These results suggest administrators should implement interventions based on the modification of environmental characteristics to favor active commuting. Future studies must analyze the effect of such environmental modifications in individual perception of safety and the relation of this effect with active commute to school.

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