Community and environment for physical activity among young people: a systematic review of the Report Card Brazil 2018

Manta, Sofia Wolker; Silva, Kelly Samara da; Minatto, Giseli; Lopes, Marcus Vinicius Veber; Mello, Gabrielli Thais de; Barbosa Filho, Valter Cordeiro

doi:10.5007/1980-0037.2018v20n4p543

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Brasil

Revista Brasileira de Cineantropometria & Desempenho Humano

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review article • Rev. bras. cineantropom. desempenho hum 20 (4) • Jul-Aug 2018 • https://doi.org/10.5007/1980-0037.2018v20n4p543 copy

Community and environment for physical activity among young people: a systematic review of the Report Card Brazil 2018

Ambiente comunitário para atividade física de jovens: uma revisão sistemática do Report Card Brasil 2018

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

The aim of this study was to identify evidence about the prevalence of the community and environment indicators related to physical activity (PA) among young Brazilian people. A systematic review was carried out using eight databases (PubMed, Scopus, Web of Science, LILACS, SPORTDiscus, BIREME, Scielo, and Google Scholar) with descriptors in Portuguese and English. Community and environment Indicators included access, presence, proximity, quality, safety and pollution of/in spaces, facilities, programs available for PA among young people (up to 18 years-old), which may be measured subjectively and/or objectively. A total of 23 documents were included, representing 15 different studies. There were more studies in the South region (n=8), followed by the Northeast (n=3) and Southeast (n=3). Self-reported instruments were more frequently used (n=15). The studies reported prevalence of perception (positive and/or barrier) for access to facilities, programs and/or parks (n=13); presence of sidewalks and bicycle lanes (n=4); proximity to residence (n=5); quality (n=5); safety from crime and traffic (n=14) and pollution (n=6); number of spaces and/or facilities around the residence (n=1); and observation of adolescents using public spaces for PA (n=3). The prevalence rates showed high variability according to environmental indicator. No studies are available for the North and Midwest of the country. Distinct environmental measures were used in self-reported studies, impairing data comparability. To date, no studies have been identified that provide information about the prevalence of combined environmental measures (perceived and objective).

Key words
Adolescent; Built environment; Brazil; Motor activity

First author	Location (survey year)	Aim of study	Sample type	Sample (% of girls)	Age (years)	Description of Instrument
Brazil³¹31 Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise de Situação em Saúde. Avaliação de Efetividade de Programas de AtividadeFísica no Brasil. Brasília: Ministério da Saúde; 2011. ^$ $ National reports (grey literature); ^* * Studies that objectively evaluated the use of public areas for PA, with the sample unit being observation areas and not subjects;	Aracajú (SE)	To perform a compilation of assessments and characterization of PA network and major Brazilian programs.	Population-based	n.a.	n.a.	SOPARC Observation Protocol to evaluate recreational areas for PA.
Brazil³²32 Brasil, organizador. Instituto Brasileiro de Geografia e Estatística/IBGE. Práticasde esporte e atividade física, 2015: Pesquisa Nacional por Amostra de Domicílios. Rio de Janeiro: IBGE, Instituto Brasileiro de Geografia e Estatística; 2017. 73 p. ^$ $ National reports (grey literature);	National (2014)	To obtain national results regarding sociodemographic, health related and other information necessary for the country.	Population-based	n.a.	15-17	Undefined Questionnaire: Question related to the barriers for sport participation
Ceschini³⁰30 Ceschini FL, Andrade DR, Oliveira LC, Araújo Júnior JF, Matsudo VKR.Prevalência de inatividade física e fatores associados em estudantes do ensino médio de escolas públicas estaduais. J Pediatr 2009;85(4):301-6.	São Paulo, SP (2006)	To describe the prevalence of physical inactivity and associated factors among high school students from state public schools in the city of São Paulo.	School-based	3,845 (52.6%)	14-19	Undefined Questionnaire: contains a question about knowing the program “Agita São Paulo”.
Coledam¹⁶16 Coledam DHCC, Ferraiol PF, Júnior RP, Gomes Ribeiro EA, Cabral Ferreira MA, de Oliveira AR. Concordância entre dois pontos de corte para atividade físicae fatores associados em jovens. Rev Paul Pediatr 2014;32(3):215-22.(a)	Londrina, PR (2012)	To analyze the agreement between two cut-off points for PA (300 and 420 minutes/week) and the associated factors among young subjects.	School-based	738 (53.4%)	10-17	Undefined Questionnaire (V): contains the question “have places to practice PA?”.
Coledam¹⁵15 Coledam DHC, Ferraiol PF, Pires Junior R, dos-Santos JW, Oliveira AR de. Prática esportiva e participação nas aulas de educação física: fatores associados em estudantes de Londrina, Paraná, Brasil. Cad Saúde Pública 2014;30(3):533-45.(a)	Londrina, PR (2012)	To analyze the associated with sports practice and participation in physical education classes of young subjects.	School-based	827 (54.4%)	10-17	Undefined Questionnaire (V): contains questions about places to practice PA in neighborhood and if adolescents use them.
Coledam⁵5 Coledam DHC, Ferraiol PF, dos-Santos JW, Oliveira AR de. Factors associated with cardiorespiratory fitness in school students. Rev Bras Med Esporte2016;22(1):21-6.(a)	Londrina, PR (2012)	To analyze associated cardiorespiratory fitness factors of school children.	School-based	736 (50.1%)	10-18	Undefined Questionnaire (V): contains questions about places to practice PA in neighborhood.
Copetti²⁵25 Copetti J, Neutzling MB, da Silva MC. Barreiras à prática de atividades físicas em adolescentes de uma cidade do sul do Brasil. Rev Bras Ativ Fís Saúde 2012;15(2):88-94.	Pelotas, RS (2007-2008)	To verify the prevalence of barriers to PA among adolescents living in urban areas in Pelotas city and the association between barriers and leisure sedentarism.	Population-based	399 (46.1%)	10-19	Reichert’s Questionnaire (V)³⁶36 Reichert FF, Barros AJD, Domingues MR, Hallal PC. The role of perceivedpersonal barriers to engagement in leisure-time physical activity. Am J Public Health 2007;97(3):515-9. about barriers for PA.
Onish¹⁹19 Onishi VL da S, Sanches SP. Percepção dos gestores escolares sobre a utilização da caminhada para acesso à escola. Ciênc Eng 2016;25(1):35-42.	São José do Rio Preto, SP (n.a.)	This article describes a survey conducted with teachers, principals and coordinators of public and private schools about the perception of these groups regarding the walking distance between the children’s home and to school.	School-based	407 (86.5%)^ Sample consisting of school managers;	n.a.	Undefined Questionnaire: contains questions about the perception of managers on children’s walk to school.
Silva²²22 Silva ICM, Hino AA, Lopes A, Ekelund U, Brage S, Gonçalves H, et al. Built environment and physical activity: domain- and activity-specific associations amongBrazilian adolescents. BMC Public Health 2017;17(1):616. ^* * Studies that objectively evaluated the use of public areas for PA, with the sample unit being observation areas and not subjects;	Pelotas, RS (2011-2012)	To examine the association between the built environment characteristics and PA among youth (18y) from the 1993 Pelotas (Brazil) birth cohort, as well as to evaluate interactions in the association of interest.	Population-based	3,379 (n.a)	18	Objectively measured with geocoding information systems (GIS) and an observation protocol (PARA).
Reverdito²⁰20 Reverdito RS, Costa SVC, de Oliveira EJ, de Oliveira SA, Tolocka RE. Espaços e equipamentos disponíveis para o lazer: possibilidades da criança ao jogo na cidade de Hortolândia-SP. Licere 2012;15(3):1-24. ^* * Studies that objectively evaluated the use of public areas for PA, with the sample unit being observation areas and not subjects;	Hortolândia, SP (n.a.)	To investigate Public Leisure Policies, specifically the spaces and equipment, it is possible to endorse conjectures that the child is far from being a priority when it comes to their right to play in urban policies.	Population-based	30 public leisure spaces (parks and squares)	n.a.	Minayo observation script³⁷37 Minayo MC de S. O desafio do conhecimento: pesquisa qualitativa em saúde. 9ª ed. Saõ Paulo: Hucitec; 2006. 406p. for environment use and description .
Dambros²⁴24 Dambros DD, Lopes LFD, Santos DL dos. Barreiras percebidas e hábitos deatividade física de adolescentes escolares de uma cidade do sul do Brasil. Rev Bras Cineantropom Desempenho Hum 2011;13(6):422-8.	Santa Maria, RS (n.a.)	To analyze the perceived barriers and habits of PA.	School-based	424 (45.3%)	14-18	Questionnaire proposed by Martins and Petroski³⁸38 Martins M de O, Petroski EL. Mensuração da percepção de barreiras para aprática de atividades físicas: uma proposta de instrumento. Rev Bras CineantropomDesempenho Hum 2000;2(1):58-65. (V) to measure perceived barriers for PA.
Farias Júnior⁸8 Farias Júnior JC de, Reis RS, Hallal PC. Physical activity, psychosocial andperceived environmental factors in adolescents from Northeast Brazil. Cad Saúde Pública 2014;30(5):941-51.(b)	João Pessoa, PB (2009)	To analyze the association of PA with psychosocial and environmental factors among adolescents from the Brazilian Northwest.	School-based	2,859 (57.8%)	14-19	Questionnaire elaborated by Farias Júnior et al (V)³⁹39 Júnior F, De JC, Lopes A da S, Reis RS, Nascimento JV do, Borgatto AF, et al. Development and validation of a questionnaire measuring factors associated with physical activity in adolescents. Rev Bras Saúde Materno Infant 2011;11(3):301-312.: Contains questions related to access, attractiveness, security and maintenance of areas for PA.
Farias Júnior¹⁸18 Farias Júnior JC, Florindo AA, Santos MP, Mota J, Barros MVG. Perceived environmental characteristics and psychosocial factors associated with physical activity levels in adolescents from Northeast Brazil: structural equation modelling analysis. J Sports Sci 2014;32(10):963-73. (b)	João Pessoa, PB (2009)	To examine the association of PA with psychosocial (attitude, self-efficacy, social support) and environmental characteristics (characteristics of the neighborhood) among adolescents from Northeastern Brazil.	School-based	2,361(56.6%)	14-19	Questionnaire elaborated by Farias Júnior et al (V)³⁹39 Júnior F, De JC, Lopes A da S, Reis RS, Nascimento JV do, Borgatto AF, et al. Development and validation of a questionnaire measuring factors associated with physical activity in adolescents. Rev Bras Saúde Materno Infant 2011;11(3):301-312.: Contains questions related to access, attractiveness, security and maintenance of areas for PA.
Farias Júnior¹⁷17 Farias Júnior JC, da Silva Lopes A, Mota J, Santos MP, Ribeiro JC, Hallal PC. Perception of the social and built environment and physical activity among Northeastern Brazil adolescents. Prev Med 2011;52(2):114-19. (b)	João Pessoa, PB (2009)	To evaluate the association between levels of PA and perception of the social and built environmental among adolescents from Northeastern Brazil.	School-based	2,874(57.8%)	14-19	Questionnaire elaborated by Farias Júnior et al (V)³⁹39 Júnior F, De JC, Lopes A da S, Reis RS, Nascimento JV do, Borgatto AF, et al. Development and validation of a questionnaire measuring factors associated with physical activity in adolescents. Rev Bras Saúde Materno Infant 2011;11(3):301-312.: Contains questions related to access, attractiveness, security and maintenance of areas for PA.
Lima²¹21 Lima AV, Fermino RC, Oliveira MP, Rodriguez Añez CR, Reis RS. Distância percebida até as instalações de lazer e sua associação com a prática de atividade física e de exercícios em adolescentes de Curitiba, Paraná, Brasil. Cad Saúde Pública 2013;29(8):1507-21. (c)	Curitiba PR (2006)	To determine the association between perceived distance to recreational facilities (parks, gyms, sports courts, and bike lanes) for PA and exercise among adolescents.	School-based	1,474(49.0%)	14-18	Questions elaborated by the authors or from the NEWS-Y questionnaire (V): Contains questions related to the presence and distance from facilities for PA.
Lopes⁶6 Lopes AA dos S, Lanzoni AN, Hino AAF, Rodriguez-Añez CR, Reis RS. Perceived neighborhood environment and physical activity among high school studentsfrom Curitiba, Brazil. Rev Bras Epidemiol 2014;17(4):938-53. (c)	Curitiba PR (2006)	To analyze the association between perceived neighborhood environment and PA among high school students.	School-based	1,611(59.7%)	14-18	NEWS-Y questionnaire (V) to measure environment for PA.
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75.(b)	João Pessoa, PB (2009)	To analyze the association between perceived neighborhood environmental characteristics and different types of physical activities in adolescents from Northeastern Brazil.	School-based	2,874 (57.8%)	14-19	Questionnaire elaborated by Farias Júnior et al (V)³⁹39 Júnior F, De JC, Lopes A da S, Reis RS, Nascimento JV do, Borgatto AF, et al. Development and validation of a questionnaire measuring factors associated with physical activity in adolescents. Rev Bras Saúde Materno Infant 2011;11(3):301-312.. Contains questions related to access, attractiveness, security and maintenance of areas for PA.
Parra²⁷27 Parra DC, McKenzie TL, Ribeiro IC, Ferreira Hino AA, Dreisinger M, ConiglioK, et al. Assessing physical activity in public parks in Brazil using systematicobservation. Am J Public Health 2010;100(8):1420-6. ^* * Studies that objectively evaluated the use of public areas for PA, with the sample unit being observation areas and not subjects;	Recife PE (2007)	To compare PA levels, park use, and park contextual characteristics at sites with and without the Academia da Cidade Program.	Population-based	5 areas with and 5 without Academia da Cidade Program	n.a.	SOPARC Observation Protocol used to evaluate recreational areas for PA.
Hino²⁸28 Hino AAF, Reis RS, Ribeiro IC, Parra DC, Brownson RC, Fermino RC. Using observational methods to evaluate public open spaces and physical activity in Brazil.J Phys Act Health 2010;7(Suppl 2):146-54. ^* * Studies that objectively evaluated the use of public areas for PA, with the sample unit being observation areas and not subjects;	Curitiba PR (2008)	To describe the characteristics of parks and squares users and to explore how these characteristics are associated with the practice of PA in these settings.	Population-based	4 parks and 4 squares	n.a.	SOPARC Observation Protocol used evaluate recreational areas for PA.
Reis⁹9 Reis RS, Hino AAF, Florindo AA, Añez CRR, Domingues MR. Association between physical activity in parks and perceived environment: a study with adolescents. J Phys Act Health 2009;6(4):503-9. (c)	Curitiba PR (2007)	To evaluate the association between PA practice among adolescents and the perception of environmental features of public parks.	School-based	1,718(59.6%)	14-18	Undefined Questionnaire (V): Questions used to evaluate perceived environmental features for PA.
Santos²³23 Santos MS, Fermino RC, Reis RS, Cassou AC, Rodriguez Añez CR. Barriers related to physical activity practice in adolescentes: a focus-group study. Rev Bras Cineantropom Desempenho Hum 2010;12(3):137-43.	Curitiba PR (n.a.)	To identify barriers to PA among adolescents.	School-based	59 (50.8%)	15-18	Interview elaborated by the authors to be applied with a focus group technique.
Santos²⁶26 Santos MS, Hino AAF, Reis RS, Rodriguez-Añez CR. Prevalência de barreiras para a prática de atividade física em adolescentes. Rev Bras Epidemiol2010;13(1):94-104.(c)	Curitiba PR (2006)	To analyze the prevalence and association of barriers to PA among adolescents.	School-based	1,615 (59.7%)	14-18	Questionnaire elaborated by Santos et al (V)²³23 Santos MS, Fermino RC, Reis RS, Cassou AC, Rodriguez Añez CR. Barriers related to physical activity practice in adolescentes: a focus-group study. Rev Bras Cineantropom Desempenho Hum 2010;12(3):137-43.: Contains questions related to the barriers for PA.
Silva²⁹29 Silva KS, Vasques DG, Martins C de O, Williams LA, Lopes AS. Activecommuting: prevalence, barriers, and associated variables. J Phys Act Health2011;8(6):750-7.	Caxias do Sul RS (2007)	To describe the prevalence of active commuting to school and to identify barriers associated with the means of commuting to school.	School-based	1,622 (53.2%)	11-17	Question from CDC⁴⁰40 Centers for Disease Control and Prevention/CDC. Barriers to children walking andbiking to school—United States, 1999. Morb Mortal Wkly Rep 2002;51(32):701-4. related to the barriers for PA.

First author, Region	Variables	Estimates (%) for each indicator by subgroup
Positive perception about facilities, programs, parks and playgrounds available for PA in the community
Ceschini³⁰30 Ceschini FL, Andrade DR, Oliveira LC, Araújo Júnior JF, Matsudo VKR.Prevalência de inatividade física e fatores associados em estudantes do ensino médio de escolas públicas estaduais. J Pediatr 2009;85(4):301-6., Southeast	Do you know the Program Agita São Paulo	Total: 71.9% (n=2,766)
Coledam¹⁶16 Coledam DHCC, Ferraiol PF, Júnior RP, Gomes Ribeiro EA, Cabral Ferreira MA, de Oliveira AR. Concordância entre dois pontos de corte para atividade físicae fatores associados em jovens. Rev Paul Pediatr 2014;32(3):215-22., South		Boys: 81.4%; Girls: 77.7% 300 min MVPA: 48.1%; 420 min MVPA: 27.3%
Coledam¹⁵15 Coledam DHC, Ferraiol PF, Pires Junior R, dos-Santos JW, Oliveira AR de. Prática esportiva e participação nas aulas de educação física: fatores associados em estudantes de Londrina, Paraná, Brasil. Cad Saúde Pública 2014;30(3):533-45., South	≥1 places for the practice of PA	Total: 68.0%
Coledam⁵5 Coledam DHC, Ferraiol PF, dos-Santos JW, Oliveira AR de. Factors associated with cardiorespiratory fitness in school students. Rev Bras Med Esporte2016;22(1):21-6., South		<14 years: 80.1% (n=358); ≥14 years: 78.6% (n=378)
Coledam¹⁵15 Coledam DHC, Ferraiol PF, Pires Junior R, dos-Santos JW, Oliveira AR de. Prática esportiva e participação nas aulas de educação física: fatores associados em estudantes de Londrina, Paraná, Brasil. Cad Saúde Pública 2014;30(3):533-45., South	Places proper for PA are close to my home	Boys: 67.0%; Girls: 39.4%
Farias Júnior¹⁷17 Farias Júnior JC, da Silva Lopes A, Mota J, Santos MP, Ribeiro JC, Hallal PC. Perception of the social and built environment and physical activity among Northeastern Brazil adolescents. Prev Med 2011;52(2):114-19., Northeast	There are places for practicing PA (parks, squares, courts, fields, etc.)	Boys: 66.9%; Girls: 40.4%
	The neighborhood offers many opportunities for practicing PA	Boys: 70.0%; Girls: 41.2%
Farias Júnior¹⁸18 Farias Júnior JC, Florindo AA, Santos MP, Mota J, Barros MVG. Perceived environmental characteristics and psychosocial factors associated with physical activity levels in adolescents from Northeast Brazil: structural equation modelling analysis. J Sports Sci 2014;32(10):963-73., Northeast	Access to places for PA and their attractiveness (range 5-20)^a a Data are reported as mean (standard-deviation);	Boys: 18.6 (4.7); Girls: 17.9 (5.0)
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75.,	Places with opportunities to engage in PA	Boys: 50.6% (n=607); Girls: 42.3% (n=692)
Northeast	Has public places to engage in PA	Boys: 62.6% (n=749); Girls: 56.3% (n=909)
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75., Northeast		Boys: 69.5% (n=832); Girls: 63.7% (n=1,037)
Lopes⁶6 Lopes AA dos S, Lanzoni AN, Hino AAF, Rodriguez-Añez CR, Reis RS. Perceived neighborhood environment and physical activity among high school studentsfrom Curitiba, Brazil. Rev Bras Epidemiol 2014;17(4):938-53., South	Has places I like to go to	Total: 64.9% (n=1,045) Boys: 69.7% (n=453); Girls: 61.6% (n=592) 20min/≤1 time/week: Boys: 94.0% (n=426); Girls: 78.0% (n=462) 60mins/ 5 time/week: Boys: 23.2% (n=105); Girls: 9.5% (n=56)
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75., Northeast		Boys: 61.0% (n=730); Girls: 57.9% (n=947)
Lopes⁶6 Lopes AA dos S, Lanzoni AN, Hino AAF, Rodriguez-Añez CR, Reis RS. Perceived neighborhood environment and physical activity among high school studentsfrom Curitiba, Brazil. Rev Bras Epidemiol 2014;17(4):938-53., South	Seeing interesting things while walking	Total: 37.2% (n=600) Boys: 41.2% (n=268); Girls: 34.6% (n=332) 20min/≤1 time/week: Boys: 94.0% (n=252); Girls: 83.7% (n=278) 60min/ 5 time/week: Boys: 25.4% (n=68); Girls: 9.0% (n=30)
Positive perception about the presence of sidewalks or bicycle lanes
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75., Northeast	There are sidewalks on most streets	Boys: 74.8% (n=901); Girls: 71.8% (n=1184)
Farias Júnior¹⁷17 Farias Júnior JC, da Silva Lopes A, Mota J, Santos MP, Ribeiro JC, Hallal PC. Perception of the social and built environment and physical activity among Northeastern Brazil adolescents. Prev Med 2011;52(2):114-19., Northeast		Boys: 65.0%; Girls: 38.9% (physically active adolescents)
Lopes⁶6 Lopes AA dos S, Lanzoni AN, Hino AAF, Rodriguez-Añez CR, Reis RS. Perceived neighborhood environment and physical activity among high school studentsfrom Curitiba, Brazil. Rev Bras Epidemiol 2014;17(4):938-53., South		Total: 63.4% (n=1.021) Boys: 66.5% (n=432); Girls: 61.3% (n=589) 20min/≤1 time/week: Boys: 90.7% (n=392); Girls: 78.8% (n=464) 60min/ 5 time/week: Boys: 27.7% (n=98); Girls: 8.8% (n=52)
Farias Júnior¹⁷17 Farias Júnior JC, da Silva Lopes A, Mota J, Santos MP, Ribeiro JC, Hallal PC. Perception of the social and built environment and physical activity among Northeastern Brazil adolescents. Prev Med 2011;52(2):114-19., Northeast		Boys: 65.4%; Girls: 42.4%
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75., Northeast	There are bicycle lanes or places where I can ride a bicycle	Boys: 25.6% (n=306); Girls: 27.7% (n=451)
Lopes⁶6 Lopes AA dos S, Lanzoni AN, Hino AAF, Rodriguez-Añez CR, Reis RS. Perceived neighborhood environment and physical activity among high school studentsfrom Curitiba, Brazil. Rev Bras Epidemiol 2014;17(4):938-53., South		Total: 43.8% (n=705) Boys: 48.0% (n=312); Girls: 40.9% (n=393) 20min/≤1 time/week: Boys: 92.6% (n=289); Girls: 75.6% (n=297) 60min/ 5 time/week: Boys: 23.4% (n=73); Girls: 10.2% (n=40)
Positive perception of OPS or facilities for PA near the residence
Reis⁹9 Reis RS, Hino AAF, Florindo AA, Añez CRR, Domingues MR. Association between physical activity in parks and perceived environment: a study with adolescents. J Phys Act Health 2009;6(4):503-9., South	Up to 30 min	Boys: 54.4%; Girls: 46.2%
	More than 30 min	Boys: 20.7%; Girls: 33.2%
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75., Northeast	Places near home to engage in PA	Boys: 72.5% (n=869); Girls: 69.4% (n=1141)
Lima²¹21 Lima AV, Fermino RC, Oliveira MP, Rodriguez Añez CR, Reis RS. Distância percebida até as instalações de lazer e sua associação com a prática de atividade física e de exercícios em adolescentes de Curitiba, Paraná, Brasil. Cad Saúde Pública 2013;29(8):1507-21., South	1-2 leisure facilities near the residence	Total: 10.2% (n=150) Boys: 10.9% (n=66); Girls: 9.6% (n=84)
	≥ 3 leisure facilities near the residence	Total: 33.6% (n=496) Boys: 38.8% (n=234); Girls: 30.1% (n=262)
	[< 5 min] Distance from the parks	Total: 20.1% (n=296) Boys: 22.7% (n=137); Girls: 18.3% (n=159)
	[< 5 min] Distance to squares	Total: 20.8% (n=306) Boys: 27.4% (n=165); Girls: 16.2% (n=141)
	[< 5 min] Distance to the gyms	Total: 27.7% (n=409) Boys: 31.2% (n=188); Girls: 25.4% (n=221)
	[< 5 min] Distance gymnasiums or sports courts	Total: 11.4% (n=168);Boys: 13.4% (n=81); Girls: 10.0% (n=87)
	[< 5 min] Distance bike paths or walking trails	Total: 19.3% (n=284) Boys: 19.9% (n= 120); Girls: 18.8% (n=164)
	[6-10 min] Distance from the parks	Total: 22.9% (n=338) Boys: 23.9% (n=144); Girls: 22.3% (n=194)
	[6-10 min] Distance to squares	Total: 20.5% (n=302) Boys: 23.5% (n=142); Girls: 18.4% (n=160)
	[6-10 min] Distance to the gyms	Total: 16.9% (n=249) Boys: 17.1% (n=103); Girls: 16.8% (n=146)
	[6-10 min] Distance gymnasiums or sports courts	Total:14.8% (n=218) Boys: 15.8% (n=95); Girls: 14.1% (n=123)
	[6-10 min] Distance bike paths or walking trails	Total: 16.1% (n=237) Boys: 14.3% (n= 86); Girls: 17.3% (n=151)
	[11 -20min] Distance from the parks	Total: 22.1% (n=326) Boys: 21.4% (n=129); Girls: 22.6% (n=197)
	[11 -20min] Distance to squares	Total: 18.6% (n=274) Boys: 18.2% (n=110); Girls: 18.8% (n=164)
	[11 -20min] Distance to the gyms	Total: 13.4% (n=197) Boys: 14.4% (n=87); Girls: 12.6% (n=110);
	[11 -20min] Distance gymnasiums or sports courts	Total: 13.1% (n=193)Boys o: 12.9% (n=78); Girls: 13.2% (n=115)
	[11-20min] Distance bike paths or walking trails	Total: 7.7% (n=114) Boys: 8.1% (n=49); Girls: 7.5% (n=65)
	[21-30min] Distance from the parks	Total: 12.2% (n=180) Boys: 11.1% (n=67); Girls: 13.0% (n=113)
	[21-30min] Distance to squares	Total: 11.4% (n=168) Boys: 12.4% (n=75); Girls: 10.7% (n=93)
	[21-30min] Distance to the gyms	Total: 7.5% (n=110) Boys: 7.8% (n= 47); Girls: 7.3% (n=63)
	[21-30min] Distance gymnasiums or sports courts	Total: 50.5% (n=745) Boys: 46.9% (n=283); Girls: 53.0% (n= 462)
	[21-30min] Distance bike paths or walking trails	Total: 23,3% (n=343) Boys: 18.9% (n=114); Girls: 26.3% (n=229)
	[≥31min] Distance from the parks	Total: 22.7% (n=334) Boys: 20.9% (n=126); Girls: 23.9% (n=208)
	[≥31min] Distance to squares	Total: 28.8% (n=424) Boys: 18.4% (n=111); Girls: 35.9% (n=313)
	[≥31min] Distance to the gyms	Total: 34.5% (n=509) Boys: 29.5% (n=178); Girls: 38.0% (n=331)
	[≥31min] Distance gymnasiums or sports courts	Total: 10.2% (n=150) Boys: 10.9% (n=66); Girls: 9.6% (n=84)
Lima²¹21 Lima AV, Fermino RC, Oliveira MP, Rodriguez Añez CR, Reis RS. Distância percebida até as instalações de lazer e sua associação com a prática de atividade física e de exercícios em adolescentes de Curitiba, Paraná, Brasil. Cad Saúde Pública 2013;29(8):1507-21., South	[≥31min] Distance bike paths or walking trails	Total: 33.6% (n=496) Boys: 38.8% (n=234); Girls: 30.1% (n=262)
Positive perception about quality of the OPS and PA attributes in the neighborhood
Farias Júnior¹⁷17 Farias Júnior JC, da Silva Lopes A, Mota J, Santos MP, Ribeiro JC, Hallal PC. Perception of the social and built environment and physical activity among Northeastern Brazil adolescents. Prev Med 2011;52(2):114-19., Northeast	Places where I can practice of PA are well maintained	Boys: 69.8%; Girls: 40.3%
Farias Júnior¹⁸18 Farias Júnior JC, Florindo AA, Santos MP, Mota J, Barros MVG. Perceived environmental characteristics and psychosocial factors associated with physical activity levels in adolescents from Northeast Brazil: structural equation modelling analysis. J Sports Sci 2014;32(10):963-73., Northeast	Structure and maintenance of the neighborhood (range 4-16)^a a Data are reported as mean (standard-deviation);	Boys: 11.3 (n=2.8); Girls: 11.3 (n=2.9)
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75., Northeast	Well maintained venues to engage in PA	Boys: 46.0% (n=553); Girls: 44.4% (n=730)
Lopes⁶6 Lopes AA dos S, Lanzoni AN, Hino AAF, Rodriguez-Añez CR, Reis RS. Perceived neighborhood environment and physical activity among high school studentsfrom Curitiba, Brazil. Rev Bras Epidemiol 2014;17(4):938-53., South	Overall perception of the environmental (good and very good)	Total: 47.3% (n=762) Boys: 54.3% (n=353); Girls 42.6% (n=409) 20min/≤1 time/week: Boys: 51.1% (n=332); Girls: 34.1% (n=328) 60min/ 5 time/week: Boys: 13.4% (n=87); Girls: 4.2% (n=40)
Positive perception of safety in the neighborhood
Farias Júnior¹⁷17 Farias Júnior JC, da Silva Lopes A, Mota J, Santos MP, Ribeiro JC, Hallal PC. Perception of the social and built environment and physical activity among Northeastern Brazil adolescents. Prev Med 2011;52(2):114-19., Northeast	Places where I can practice PA are not safe^b b Variables with inverted response scales;	Boys: 67.8%; Girls: 40.3%
	The neighborhood is violent, with a lot of muggings, crime, and drugs^b b Variables with inverted response scales;	Boys: 65.6%; Girls: 39.8%
Farias Júnior¹⁸18 Farias Júnior JC, Florindo AA, Santos MP, Mota J, Barros MVG. Perceived environmental characteristics and psychosocial factors associated with physical activity levels in adolescents from Northeast Brazil: structural equation modelling analysis. J Sports Sci 2014;32(10):963-73., Northeast	Security for the practice of physical activity (range 3-12)^a a Data are reported as mean (standard-deviation);	Boys: 11.4 (3.2); Girls: 11.1 (3.2)
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75., Northeast	It is safe for walking and running	Boys: 31.8%; Girls: 35.7%
	It is safe for riding a bike	Boys: 29.6%; Girls: 35.7%
Lopes⁶6 Lopes AA dos S, Lanzoni AN, Hino AAF, Rodriguez-Añez CR, Reis RS. Perceived neighborhood environment and physical activity among high school studentsfrom Curitiba, Brazil. Rev Bras Epidemiol 2014;17(4):938-53., South	There’s a lot of crime^c c % refers to those who disagree with the question.	Total: 53.0% (n=854) Boys: 51.9% (n=337); Girls: 53.8% (n=517) 20min/≤1 time/week: Boys: 91.7% (n=309); Girls: 78.0% (n=403) 60min/ 5 time/week: Boys: 24.6% (n=83); Girls: 9.9% (n=51)
	It is safe	Total: 47.1% (n=759) Boys: 57.5% (n=374); Girls: 40.1% (n=385) 20min/≤1 time/week: Boys: 93.3% (n=349); Girls: 77.9% (n=300) 60min/ 5 time/week: Boys: 23.0% (n=86); Girls: 9.6% (n=37)
	There are streets lit	Total: 44.2% (n=712) Boys: 46.6% (n=303); Girls: 42.6% (n=409) 20min/≤1 time/week: Boys: 90.8% (n=275); Girls: 79.2% (n=324) 60min/ 5time/week: Boys: 22.8% (n=69); Girls: 9.5% (n=39)
Positive perception about traffic safety around the homes
Farias Júnior¹⁷17 Farias Júnior JC, da Silva Lopes A, Mota J, Santos MP, Ribeiro JC, Hallal PC. Perception of the social and built environment and physical activity among Northeastern Brazil adolescents. Prev Med 2011;52(2):114-19., Northeast	Riding a bicycle in the streets around my house is not safe because of street traffic^a a Data are reported as mean (standard-deviation);	Boys: 67.8%; Girls: 40.1%
	Walking or jogging in the streets around my house is not safe because of street traffic^a a Data are reported as mean (standard-deviation);	Boys: 67.5%; Girls: 40.3%
Lopes⁶6 Lopes AA dos S, Lanzoni AN, Hino AAF, Rodriguez-Añez CR, Reis RS. Perceived neighborhood environment and physical activity among high school studentsfrom Curitiba, Brazil. Rev Bras Epidemiol 2014;17(4):938-53., South	There’s too much traffic^c c % refers to those who disagree with the question.	Total: 79.8% (n=1,286) Boys: 82.6% (n=537); Girls: 77.9% (n=749) 20min/≤1 time/week: Boys: 92.4% (n=496); Girls: 77.7% (n=582) 60min/ 5 time/week: Boys: 22.2% (n=119); Girls: 8.9% (n=67)
Positive perception of cleanliness or not pollution in the neighborhood
Farias Júnior¹⁷17 Farias Júnior JC, da Silva Lopes A, Mota J, Santos MP, Ribeiro JC, Hallal PC. Perception of the social and built environment and physical activity among Northeastern Brazil adolescents. Prev Med 2011;52(2):114-19., Northeast	The neighborhood is polluted, with open sewage, garbage and debris on the streets^c c % refers to those who disagree with the question.	Boys: 65.4%; Girls: 38.7%
Mendonça⁷7 Mendonça G, Florindo AA, Rech CR, Freitas DKS de, Farias Júnior JC de. Perceived neighborhood environmental characteristics and different types of physical activity among Brazilian adolescents. J Sports Sci 2018;36(9):1068-75., Northeast	It is not polluted	Boys: 25.8% (n=310); Girls: 25.5% (n=413)

First author, Region	Variables of the environment	Estimates (%) for each indicator by subgroup
Negative perception about facilities, programs, parks and playgrounds available for physical activity in the community
Reis⁹9 Reis RS, Hino AAF, Florindo AA, Añez CRR, Domingues MR. Association between physical activity in parks and perceived environment: a study with adolescents. J Phys Act Health 2009;6(4):503-9., South	Lack of space to be active	Boys: 65.9%; Girls 67.3%
	Lack of equipment	Boys: 57.6%; Girls 61.1%
	Too crowded	Boys: 51.9%; Girls 57.2%
	No activities to choose from	Boys: 60.2%; Girls 63.4%
	Hard to get to the park	Boys: 64.8%; Girls 68.7%
Copetti²⁵25 Copetti J, Neutzling MB, da Silva MC. Barreiras à prática de atividades físicas em adolescentes de uma cidade do sul do Brasil. Rev Bras Ativ Fís Saúde 2012;15(2):88-94., South	There aren’t suitable spaces	Total: 33.8%; Boys: 27.8%; Girls: 40.7%; 10 -14 years: 24.1%; 15 - 19 years: 43.6%
Santos²³23 Santos MS, Fermino RC, Reis RS, Cassou AC, Rodriguez Añez CR. Barriers related to physical activity practice in adolescentes: a focus-group study. Rev Bras Cineantropom Desempenho Hum 2010;12(3):137-43., South	Access	Boys: 4.0% (n=2)
	Closed spaces	Girls 5.2% (n=3)
Santos²⁶26 Santos MS, Hino AAF, Reis RS, Rodriguez-Añez CR. Prevalência de barreiras para a prática de atividade física em adolescentes. Rev Bras Epidemiol2010;13(1):94-104., South	Do not know the places well	Total: 22,2%; Boys: 29.0% (n=189); Girls: 35.8% (n=345)
Dambros²⁴24 Dambros DD, Lopes LFD, Santos DL dos. Barreiras percebidas e hábitos deatividade física de adolescentes escolares de uma cidade do sul do Brasil. Rev Bras Cineantropom Desempenho Hum 2011;13(6):422-8.,South	There aren’t suitable facilities	Total: 9.9% (n=42); Federal: 2.4% (n=1); Estadual: 11.2% (n=31); Privada: 9.4% (n= 10)
Brazil³²32 Brasil, organizador. Instituto Brasileiro de Geografia e Estatística/IBGE. Práticasde esporte e atividade física, 2015: Pesquisa Nacional por Amostra de Domicílios. Rio de Janeiro: IBGE, Instituto Brasileiro de Geografia e Estatística; 2017. 73 p. ^$ $ National reports (grey literature). In studies that objectively evaluated the use of public areas for PA, the sample unit was observation areas and not subjects.	Lack of equipment	Total: 8.7%
Negative perception about the presence of sidewalks or bicycle lanes
Onishi¹⁹19 Onishi VL da S, Sanches SP. Percepção dos gestores escolares sobre a utilização da caminhada para acesso à escola. Ciênc Eng 2016;25(1):35-42. (a), Southeast	Inadequate sidewalks	Privatad: 3.1%; Public: 3.3%
Negative perception of OPS or facilities for PA near the residence
Santos²³23 Santos MS, Fermino RC, Reis RS, Cassou AC, Rodriguez Añez CR. Barriers related to physical activity practice in adolescentes: a focus-group study. Rev Bras Cineantropom Desempenho Hum 2010;12(3):137-43., South	Far from home	Boys: 4.0% (n=2)
Silva²⁹29 Silva KS, Vasques DG, Martins C de O, Williams LA, Lopes AS. Activecommuting: prevalence, barriers, and associated variables. J Phys Act Health2011;8(6):750-7. (b), South	Long distance	Total: 16.7% (n=247); Active commuting: 11.7%
Negative perception about quality of the neighborhood
Onishi¹⁹19 Onishi VL da S, Sanches SP. Percepção dos gestores escolares sobre a utilização da caminhada para acesso à escola. Ciênc Eng 2016;25(1):35-42. (a), Southeast	Quality of school environ-mental	Poor quality: 7.1%; Good quality: 49.1%
Negative perception of safety in the neighborhood
Reis⁹9 Reis RS, Hino AAF, Florindo AA, Añez CRR, Domingues MR. Association between physical activity in parks and perceived environment: a study with adolescents. J Phys Act Health 2009;6(4):503-9., South	Poor lightning	Boys: 54.4%; Girls 62.0%
	Unsafe localtion	Boys: 54.2%; Girls 59.5%
Santos²³23 Santos MS, Fermino RC, Reis RS, Cassou AC, Rodriguez Añez CR. Barriers related to physical activity practice in adolescentes: a focus-group study. Rev Bras Cineantropom Desempenho Hum 2010;12(3):137-43., South	Crime/Danger	Boys: 4.0% (n=2); Girls: 3.4% (n=2)
Silva²⁹29 Silva KS, Vasques DG, Martins C de O, Williams LA, Lopes AS. Activecommuting: prevalence, barriers, and associated variables. J Phys Act Health2011;8(6):750-7. (b), South		Total: 7.4% (n=109); Active commuting: 38.5%
Dambros²⁴24 Dambros DD, Lopes LFD, Santos DL dos. Barreiras percebidas e hábitos deatividade física de adolescentes escolares de uma cidade do sul do Brasil. Rev Bras Cineantropom Desempenho Hum 2011;13(6):422-8., South		Total: 4.2% (n=18); Federal: 0%; Estadual: 5.1% (n=14); Private: 3.8% (n=4)
Onishi¹⁹19 Onishi VL da S, Sanches SP. Percepção dos gestores escolares sobre a utilização da caminhada para acesso à escola. Ciênc Eng 2016;25(1):35-42. (a), Southeast		Privatad: 3.6%; Public: 3.8%
Negative perception about traffic safety around the homes
Reis⁹9 Reis RS, Hino AAF, Florindo AA, Añez CRR, Domingues MR. Association between physical activity in parks and perceived environment: a study with adolescents. J Phys Act Health 2009;6(4):503-9., South	Traffic nearby is dangerous	Boys: 57.8%; Girls 58.3%
Onishi¹⁹19 Onishi VL da S, Sanches SP. Percepção dos gestores escolares sobre a utilização da caminhada para acesso à escola. Ciênc Eng 2016;25(1):35-42. (a), Southeast	There isn’t a pedestrian track	Privatad: 3.3%; Public: 3.4%
	Heavy traffic	Privatad: 4.6%; Public: 4.1%
	Cars travel at safe speed	Privatad: 2.5%; Public: 2.6%
Silva²⁹29 Silva KS, Vasques DG, Martins C de O, Williams LA, Lopes AS. Activecommuting: prevalence, barriers, and associated variables. J Phys Act Health2011;8(6):750-7. (b), South	Traffic	Total: 7.8% (n=115); Active commuting: 61.7%
Negative perception of cleanliness or not pollution in the neighborhood
Santos²³23 Santos MS, Fermino RC, Reis RS, Cassou AC, Rodriguez Añez CR. Barriers related to physical activity practice in adolescentes: a focus-group study. Rev Bras Cineantropom Desempenho Hum 2010;12(3):137-43., South	Weather	Girls 5.2% (n=3)
Santos²⁶26 Santos MS, Hino AAF, Reis RS, Rodriguez-Añez CR. Prevalência de barreiras para a prática de atividade física em adolescentes. Rev Bras Epidemiol2010;13(1):94-104., South		Active: 25,2%; Boys: 28.6% (n=186); Girls: 49.0% (n=472)
Dambros²⁴24 Dambros DD, Lopes LFD, Santos DL dos. Barreiras percebidas e hábitos deatividade física de adolescentes escolares de uma cidade do sul do Brasil. Rev Bras Cineantropom Desempenho Hum 2011;13(6):422-8., South		Total: 15.1% (n=64); Federal: 4.9% (n=2); Estadual: 16.3% (n=45); Privada: 16.0% (n=17)
Silva²⁹29 Silva KS, Vasques DG, Martins C de O, Williams LA, Lopes AS. Activecommuting: prevalence, barriers, and associated variables. J Phys Act Health2011;8(6):750-7. (b), South		Total: 17.7% (n=262); Active commuting: 88.4%

First author, Region	Variables	Results
Use of Geographical Information Systems (GIS) to evaluate characteristics of the community environment
Silva²²22 Silva ICM, Hino AA, Lopes A, Ekelund U, Brage S, Gonçalves H, et al. Built environment and physical activity: domain- and activity-specific associations amongBrazilian adolescents. BMC Public Health 2017;17(1):616., South	Number of characteristics in the 500 meters circular buffer from the adolescent’s residence^a	Number of OPS (parks and boulevards): 86.3% (n=2,870)
		Number of OPS with at least one PA attribute regardless of quality: 75.9% (n=2,526)
		Number of OPS with at least one PA attribute considered of regular quality: 65.2% (n=2,170)
		Number of OPS with at least one PA attribute considered of good quality: 42.4% (n=1,411)
		Number of walking paths/trails: 26.6% (n=884)
		Number of football pitches: 58.9% (n=1,959)
		Number of cycle paths/lanes: 23.9% (n=806)
		Number of private gyms: 64.1% (n=2,165)
		Existence of beachfront: 1.2% (n=42)
		Number of PA attributes: 90.1% (n=2,997)
Use of observational methods to evaluate OPS for PA in community environment
Hino²⁸28 Hino AAF, Reis RS, Ribeiro IC, Parra DC, Brownson RC, Fermino RC. Using observational methods to evaluate public open spaces and physical activity in Brazil.J Phys Act Health 2010;7(Suppl 2):146-54. (b), South	Characteristics of the parks and squares (%)^* * Target area type (%).	Sports: Parks (56.4%); Squares (51.4%)
		Strength/stretching exercise: Parks (7.7%); Squares (7.1%)
		Open area: Parks (7.7%); Squares (0%)
		Walking/running track: Parks (12.8%); Squares (5.7%)
		Others (skating, athletics, roller, others): Parks (0%); Squares (10.0%)
		Playground area: Parks (15.4%); Squares (25.7%)
	Users of parks and squares according to day of the week	Weekdays: children- Parks: Boys (5.6%); Girls (7.7%); Square: Boys (14.3%); Girls (14.0%). Adolescent- Parks: Boys (17.1%); Girls (5.9%); Square: Boys (38.6%); Girls (16.9%) Weekend: children- Parks: Boys (19.3%); Girls (19.4%); Square: Boys (17.6%); Girls (13.4%). Adolescent- Parks: Boys (18.5%); Girls (14.3%); Square: Boys (34.9%); Girls (19.3%)
	Users of parks and squares according to period of the day	7-8 AM/children: Parks: Boys (0.4%); Girls (0.0%); Square: Boys (0.0%); Girls (0.0%) 11-12 AM/children: Parks: Boys (21.5%); Girls (19.3%); Square: Boys (20.0%); Girls (19.2%) 5-6 PM/children: Parks: Boys (11.6%); Girls (16.0%); Square: Boys (16.3%); Girls (17.5%) 7-8 AM/ adolescent: Parks: Boys (2.7%); Girls (4.3%); Square: Boys (2.5%); Girls (1.1%) 11-12 AM/ adolescent: Parks: Boys (11.3%); Girls (7.7%); Square: Boys (27.8%); Girls (19.2%) 5-6 PM/c adolescent: Parks: Boys (28.4%); Girls (17.3%); Square: Boys (49.9%); Girls (26.7%)
Hino²⁸28 Hino AAF, Reis RS, Ribeiro IC, Parra DC, Brownson RC, Fermino RC. Using observational methods to evaluate public open spaces and physical activity in Brazil.J Phys Act Health 2010;7(Suppl 2):146-54. (b), South	Users of parks and squares according to day of the week and period of the day by level of PA	Walking PA Weekdays: Parks: Boys (17.6%); Girls (20.4%); Square: Boys (26.9%); Girls (13.7%) Weekend: Parks: Boys (33.3%); Girls (39.7%); Square: Boys (28.8%); Girls (18.4%) 7-8 AM: Parks: Boys (11.7%); Girls (19.6%); Square: Boys (11.7%); Girls (12.4%) 11-12 AM: Parks: Boys (30.6%); Girls (31.4%); Square: Boys (23.3%); Girls (12.9%) 5-6 PM: Parks: Boys (28.8%); Girls (37.8%); Square: Boys (34.0%); Girls (19.9%) Vigorous PA Weekdays: Parks: Boys (57.9%); Girls (59.3%); Square: Boys (45.6%); Girls (58.8%) Weekend: Parks: Boys (40.3%); Girls (35.8%); Square: Boys (32.0%); Girls (33.4%) 7-8 AM: Parks: Boys (72.0%); Girls (67.0%); Square: Boys (76.1%); Girls (81.4%) 11-12 AM: Parks: Boys (41.4%); Girls (42.4%); Square: Boys (35.8%); Girls (40.3%) 5-6 PM: Parks: Boys (44.6%); Girls (39.3%); Square: Boys (31.3%); Girls (35.2%)
Parra²⁷27 Parra DC, McKenzie TL, Ribeiro IC, Ferreira Hino AA, Dreisinger M, ConiglioK, et al. Assessing physical activity in public parks in Brazil using systematicobservation. Am J Public Health 2010;100(8):1420-6. (b), Northeast	Park use patterns, by presence or absence of the ACP	Adolescents All Sites: 13.0% (n=4,294); ACP Sites: 13.3% (n=2,388); Non-ACP Sites: 12.7% (n=1,906)
	Accessible	All Sites: 97.0% (n=5,395); ACP Sites: 93.0% (n=2,664); Non-ACP Sites: 99.0% (n=2,731)
	Usable	All Sites: 96.0% (n=5,386); ACP Sites: 93.0% (n=2,655); Non-ACP Sites: 99.0% (n=2,731)
	Equipped	All Sites: 5.0% (n=262); ACP Sites: 9.0% (n=255); Non-ACP Sites: 0.2% (n=7)
	Supervised	All Sites: 66.0% (n=3,775); ACP Sites: 88.0% (n=2,512); Non-ACP Sites: 46.0% (n=1,263)
Reverdito²⁰20 Reverdito RS, Costa SVC, de Oliveira EJ, de Oliveira SA, Tolocka RE. Espaços e equipamentos disponíveis para o lazer: possibilidades da criança ao jogo na cidade de Hortolândia-SP. Licere 2012;15(3):1-24. (c), South-east	Number of OPS and facilities for PA observed	OPS observed: n=30
		Squares: n=12
		Parks: n=3
		PA attributes (open sports places, walking and cycle paths/trails, beachfront and gym): n=37
	Quality of OPS	OPS with poor quality: n=7
	Quality of OPS	OPS with good quality: n=7
	Traffic safety	OPS in the area with heavy traffic: n=10
	Use of the OPS bychildrens or adolescents	Number of OPS where there 91 children using the facilities for PA: n=13
		Number of OPS where there 50 adolescents doing PA: n=9
		OPS within facilities for PA, but there were children and adolescents playing: n=4
Brazil³¹31 Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de Análise de Situação em Saúde. Avaliação de Efetividade de Programas de AtividadeFísica no Brasil. Brasília: Ministério da Saúde; 2011. ^$ $ National reports (grey literature).	Use of OPS	Adolescents: 17%; Childrens: 16%

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[1] Author Contributions

SWM, GM, MVVL and GTM participated in the methodological design, study search and selection, data extraction and synthesis, writing the text and approved the final version of the manuscript. KSS and VCBF participated in the methodological design, evaluation of studies, writing the text and approved the final version of the manuscript.