| Total Screen Time |
|
|
|
|
|
| Lima et al.1212 De Lima TR, Silva DAS. Prevalence of physical activity among adolescents in southern Brazil. J Bodyw Mov Ther 2018;22(1):57-63.
|
|
|
17.61212 De Lima TR, Silva DAS. Prevalence of physical activity among adolescents in southern Brazil. J Bodyw Mov Ther 2018;22(1):57-63.
|
|
|
| Lima and Silva2222 Lima TR, Silva DAS. Clusters of negative health-related physical fitness indicators and associated factors in adolescents. Rev Bras Cineantropom Desempenho Hum 2017;19(4):436-49.
|
São José. SC (2014) |
< 4 hours/day1212 De Lima TR, Silva DAS. Prevalence of physical activity among adolescents in southern Brazil. J Bodyw Mov Ther 2018;22(1):57-63.,2222 Lima TR, Silva DAS. Clusters of negative health-related physical fitness indicators and associated factors in adolescents. Rev Bras Cineantropom Desempenho Hum 2017;19(4):436-49.,2323 Nunes HEG, Gonçalves EC de A, Vieira JAJ, Silva DAS. Clustering of Risk Factors for Non-Communicable Diseases among Adolescents from Southern Brazil. Plos One 2016;11(7):e0159037.
|
13.82222 Lima TR, Silva DAS. Clusters of negative health-related physical fitness indicators and associated factors in adolescents. Rev Bras Cineantropom Desempenho Hum 2017;19(4):436-49.
|
|
|
| Nunes et al.2323 Nunes HEG, Gonçalves EC de A, Vieira JAJ, Silva DAS. Clustering of Risk Factors for Non-Communicable Diseases among Adolescents from Southern Brazil. Plos One 2016;11(7):e0159037.
|
|
|
12.62323 Nunes HEG, Gonçalves EC de A, Vieira JAJ, Silva DAS. Clustering of Risk Factors for Non-Communicable Diseases among Adolescents from Southern Brazil. Plos One 2016;11(7):e0159037.
|
|
|
Sousa and Silva2121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
Gonçalves et al.2424 Gonçalves ECA, Silva DAS. Factors associated with low levels of aerobic fitness among adolescents. Rev Paul Pediatr 2016;34(2):141-7.
|
São José. SC (2014) |
< 2 hours/day2121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.,2424 Gonçalves ECA, Silva DAS. Factors associated with low levels of aerobic fitness among adolescents. Rev Paul Pediatr 2016;34(2):141-7.,2525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
13.62121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
14.62424 Gonçalves ECA, Silva DAS. Factors associated with low levels of aerobic fitness among adolescents. Rev Paul Pediatr 2016;34(2):141-7.
|
9.12121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
17.32121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
| Castro et al.2525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
|
|
12.82525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
|
|
| Mielke et al.1111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.
|
Pelotas. RS
(2004 and 2011)1111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.
|
< 4 hours/day1111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.,2929 Duquia RP, Dumith S de C, Reichert FF, Madruga SW, Duro LN, Menezes AMB, et al. Epidemiologia das pregas cutâneas triciptal e subescapular elevadas em adolescentes. Cad Saúde Pública 2008;24(1):113-21.
|
11 years: 56.8
15 years: 47.3
18 years: 50.61111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.
49.52929 Duquia RP, Dumith S de C, Reichert FF, Madruga SW, Duro LN, Menezes AMB, et al. Epidemiologia das pregas cutâneas triciptal e subescapular elevadas em adolescentes. Cad Saúde Pública 2008;24(1):113-21.
|
|
|
| Duquia et al.2929 Duquia RP, Dumith S de C, Reichert FF, Madruga SW, Duro LN, Menezes AMB, et al. Epidemiologia das pregas cutâneas triciptal e subescapular elevadas em adolescentes. Cad Saúde Pública 2008;24(1):113-21.
|
20042929 Duquia RP, Dumith S de C, Reichert FF, Madruga SW, Duro LN, Menezes AMB, et al. Epidemiologia das pregas cutâneas triciptal e subescapular elevadas em adolescentes. Cad Saúde Pública 2008;24(1):113-21.
|
Schaefer et al.2626 Schäfer AA, Domingues MR, Dahly DL, Meller FO, Gonçalves H, WehrmeisterFC, et al. Correlates of self-reported weekday sleep duration in adolescents: the 18-year follow-up of the 1993 Pelotas (Brazil) Birth Cohort Study. Sleep Med 2016;23:81-8.
Bergman et al.2727 Bergmann GG, Bertoldi AD, Mielke GI, Camargo AL, Matijasevich A, Hallal PC. Atividade física, tempo de tela e utilização de medicamentos em adolescentes: coorte de nascimentos de Pelotas, Rio Grande do Sul, Brasil, 1993. Cad Saúde Pública 2016;32(4):e00011715.
|
Pelotas. RS (2004. 2008 and 2011)2626 Schäfer AA, Domingues MR, Dahly DL, Meller FO, Gonçalves H, WehrmeisterFC, et al. Correlates of self-reported weekday sleep duration in adolescents: the 18-year follow-up of the 1993 Pelotas (Brazil) Birth Cohort Study. Sleep Med 2016;23:81-8.,2727 Bergmann GG, Bertoldi AD, Mielke GI, Camargo AL, Matijasevich A, Hallal PC. Atividade física, tempo de tela e utilização de medicamentos em adolescentes: coorte de nascimentos de Pelotas, Rio Grande do Sul, Brasil, 1993. Cad Saúde Pública 2016;32(4):e00011715.
|
< 2 hours/day2626 Schäfer AA, Domingues MR, Dahly DL, Meller FO, Gonçalves H, WehrmeisterFC, et al. Correlates of self-reported weekday sleep duration in adolescents: the 18-year follow-up of the 1993 Pelotas (Brazil) Birth Cohort Study. Sleep Med 2016;23:81-8.,2727 Bergmann GG, Bertoldi AD, Mielke GI, Camargo AL, Matijasevich A, Hallal PC. Atividade física, tempo de tela e utilização de medicamentos em adolescentes: coorte de nascimentos de Pelotas, Rio Grande do Sul, Brasil, 1993. Cad Saúde Pública 2016;32(4):e00011715.
|
11 years: 15.5
18 years: 14.02626 Schäfer AA, Domingues MR, Dahly DL, Meller FO, Gonçalves H, WehrmeisterFC, et al. Correlates of self-reported weekday sleep duration in adolescents: the 18-year follow-up of the 1993 Pelotas (Brazil) Birth Cohort Study. Sleep Med 2016;23:81-8.
11 years: 25.0
12 years: 19.8
13 years: 22.62727 Bergmann GG, Bertoldi AD, Mielke GI, Camargo AL, Matijasevich A, Hallal PC. Atividade física, tempo de tela e utilização de medicamentos em adolescentes: coorte de nascimentos de Pelotas, Rio Grande do Sul, Brasil, 1993. Cad Saúde Pública 2016;32(4):e00011715.
|
11 years: 15.7
18 years: 13.52626 Schäfer AA, Domingues MR, Dahly DL, Meller FO, Gonçalves H, WehrmeisterFC, et al. Correlates of self-reported weekday sleep duration in adolescents: the 18-year follow-up of the 1993 Pelotas (Brazil) Birth Cohort Study. Sleep Med 2016;23:81-8.
|
11 years: 15.2
18 years: 14.62626 Schäfer AA, Domingues MR, Dahly DL, Meller FO, Gonçalves H, WehrmeisterFC, et al. Correlates of self-reported weekday sleep duration in adolescents: the 18-year follow-up of the 1993 Pelotas (Brazil) Birth Cohort Study. Sleep Med 2016;23:81-8.
|
| Dumith et al.2828 Dumith SC, Garcia LMT, da Silva KS, Menezes AMB, Hallal PC. Predictors and health consequences of screen-time change during adolescence--1993 Pelotas (Brazil) birth cohort study. J Adolesc Health 2012;51(Suppl. 6):S16-21.
|
Pelotas. RS (2004 and 2008)2828 Dumith SC, Garcia LMT, da Silva KS, Menezes AMB, Hallal PC. Predictors and health consequences of screen-time change during adolescence--1993 Pelotas (Brazil) birth cohort study. J Adolesc Health 2012;51(Suppl. 6):S16-21.
|
Mean (min/day)2828 Dumith SC, Garcia LMT, da Silva KS, Menezes AMB, Hallal PC. Predictors and health consequences of screen-time change during adolescence--1993 Pelotas (Brazil) birth cohort study. J Adolesc Health 2012;51(Suppl. 6):S16-21.
|
2562828 Dumith SC, Garcia LMT, da Silva KS, Menezes AMB, Hallal PC. Predictors and health consequences of screen-time change during adolescence--1993 Pelotas (Brazil) birth cohort study. J Adolesc Health 2012;51(Suppl. 6):S16-21.
|
|
|
| Pinho et al.3030 Pinho MGM de, Adami F, Benedet J, Vasconcelos F de AG de. Association between screen time and dietary patterns and overweight/obesity among adolescents.Rev Nutr 2017;30(3):377-89.
|
Florianópolis. SC (2012-2013) |
≤ 2 hours/day |
60.9 |
55.4 |
64.5 |
| Costa et al.3131 Costa IFAF da, Medeiros CCM, Costa FDAF da, Farias CRL de, Souza DR, Adriano WS, et al. Adolescentes: comportamento e risco cardiovascular. J Vasc Bras 2017;16(3):205-13.
|
Campina Grande. PB (2012-2013) |
< 2 hours/day |
n.a. |
24.6 |
20.3 |
| Lourenço et al.3232 Lourenço CLM, Pires MR, Leite MAF de J, Sousa TF de, Mendes EL,. Deslocamento passivo para escola e fatores associados em adolescentes. J Phys Educ 2017;28: e2831.
|
Uberaba. MG (2015) |
< 2 hours/day |
18.1 |
|
|
| Silva et al.3333 Silva AO da, Oliveira LMFT de, Santos MAM dos, Tassitano RM. Tempo de tela, percepção da qualidade de sono e episódios de parassonia em adolescentes. Rev Bras Med Esporte 2017;23(5):375-9.
|
Caruaru. PE (2014) |
< 2 hours/day |
42.1 |
|
|
Pereira et al.3434 Pereira TA, Bergmann ML de A, Bergmann GG. Fatores associados à baixa aptidãofísica de adolescentes. Rev Bras Med Esporte 2016;22(3):176-81.
Silva et al.3535 Silva T, Oliveira H, Bergmann M, Bergmann G. Associação entre atividade física e tempo de tela com o nível socioeconômico em adolescentes. Rev Bras Ativ Fís Saúde 2015;20(5):503-13.
|
Uruguaiana/RS (2011) |
< 3 hours/day |
35.83434 Pereira TA, Bergmann ML de A, Bergmann GG. Fatores associados à baixa aptidãofísica de adolescentes. Rev Bras Med Esporte 2016;22(3):176-81.
|
38.23535 Silva T, Oliveira H, Bergmann M, Bergmann G. Associação entre atividade física e tempo de tela com o nível socioeconômico em adolescentes. Rev Bras Ativ Fís Saúde 2015;20(5):503-13.
|
33.53535 Silva T, Oliveira H, Bergmann M, Bergmann G. Associação entre atividade física e tempo de tela com o nível socioeconômico em adolescentes. Rev Bras Ativ Fís Saúde 2015;20(5):503-13.
|
Oliveira et al.3636 Oliveira JS, Barufaldi LA, Abreu G de A, Leal VS, Brunken GS, Vasconcelos SML, et al. ERICA: use of screens and consumption of meals and snacks byBrazilian adolescents. Rev Saúde Pública 2016;50(suppl. 1):7.
Cureau et al.101101 Cureau FV, Ekelund U, Bloch KV, Schaan BD. Does body mass index modify the association between physical activity and screen time with cardiometabolic risk factors in adolescents? Findings from a country-wide survey. Int J Obes 2017;41(4):551-9.
|
Brazil (2013-2014) |
≤ 2 hours/day |
26.53636 Oliveira JS, Barufaldi LA, Abreu G de A, Leal VS, Brunken GS, Vasconcelos SML, et al. ERICA: use of screens and consumption of meals and snacks byBrazilian adolescents. Rev Saúde Pública 2016;50(suppl. 1):7.
40.5101101 Cureau FV, Ekelund U, Bloch KV, Schaan BD. Does body mass index modify the association between physical activity and screen time with cardiometabolic risk factors in adolescents? Findings from a country-wide survey. Int J Obes 2017;41(4):551-9.
|
25.63636 Oliveira JS, Barufaldi LA, Abreu G de A, Leal VS, Brunken GS, Vasconcelos SML, et al. ERICA: use of screens and consumption of meals and snacks byBrazilian adolescents. Rev Saúde Pública 2016;50(suppl. 1):7.
|
27.73636 Oliveira JS, Barufaldi LA, Abreu G de A, Leal VS, Brunken GS, Vasconcelos SML, et al. ERICA: use of screens and consumption of meals and snacks byBrazilian adolescents. Rev Saúde Pública 2016;50(suppl. 1):7.
|
| Geremia et al.109109 Geremia R, Cimadon HMS, de Souza WB, Pellanda LC. Childhood overweight and obesity in a region of Italian immigration in Southern Brazil: a cross-sectional study. Ital J Pediatr 2015;41:28.
|
Bento Gonçalves. RS (n.a.) |
Mean (hours/day) |
5.3 ± 2.8 |
5.6 ± 2.9 |
5.2 ± 2.8 |
| Prado et al.3737 Do Prado Junior PP, de Faria FR, de Faria ER, Franceschini S do CC, Priore SE. Cardiovascular risk and associated factors in adolescents. Nutr Hosp 2015;32(2):897-904.
|
Viçosa. MG (n.a.) |
≤ 2 hours/day |
35.2 |
58.4 |
41.6 |
Christofaro et al.3838 Christofaro DGD, De Andrade SM, Mesas AE, Fernandes RA, Farias Júnior JC. Higher screen time is associated with overweight, poor dietary habits and physical inactivity in Brazilian adolescents, mainly among girls. Eur J Sport Sci 2016;16(4):498-506.
Christofaro et al.3939 Christofaro DGD, De Andrade SM, Cardoso JR, Mesas AE, Codogno JS, Fernandes RA. High blood pressure and sedentary behavior in adolescents are associated even after controlling for confounding factors. Blood Press 2015;24(5):317-23.
|
Londrina. PR (2011) |
< 2 hours/day |
10.03939 Christofaro DGD, De Andrade SM, Cardoso JR, Mesas AE, Codogno JS, Fernandes RA. High blood pressure and sedentary behavior in adolescents are associated even after controlling for confounding factors. Blood Press 2015;24(5):317-23.
|
6.23838 Christofaro DGD, De Andrade SM, Mesas AE, Fernandes RA, Farias Júnior JC. Higher screen time is associated with overweight, poor dietary habits and physical inactivity in Brazilian adolescents, mainly among girls. Eur J Sport Sci 2016;16(4):498-506.
|
12.83838 Christofaro DGD, De Andrade SM, Mesas AE, Fernandes RA, Farias Júnior JC. Higher screen time is associated with overweight, poor dietary habits and physical inactivity in Brazilian adolescents, mainly among girls. Eur J Sport Sci 2016;16(4):498-506.
|
Coledam et al.4040 Coledam DHC, Ferraiol PF, Pires Júnior R, Ribeiro EAG, Ferreira MAC, Oliveira AR de. Concordância entre dois pontos de corte para atividade física e fatores associados em jovens. Rev Paul Pediatr 2014;32(3):215-22.
Coledam et al.4141 Coledam DHC, Ferraiol PF, Pires Júnior R, Greca JP de A, Oliveira AR de. O sobrepeso e a obesidade não estão associados com a pressão arterial elevada em jovens praticantes de esportes. Cien Saude Colet 2017;22(12):4051-60.
|
Londrina. PR (2012) |
< 2 hours/day |
36.54141 Coledam DHC, Ferraiol PF, Pires Júnior R, Greca JP de A, Oliveira AR de. O sobrepeso e a obesidade não estão associados com a pressão arterial elevada em jovens praticantes de esportes. Cien Saude Colet 2017;22(12):4051-60.
|
33.74040 Coledam DHC, Ferraiol PF, Pires Júnior R, Ribeiro EAG, Ferreira MAC, Oliveira AR de. Concordância entre dois pontos de corte para atividade física e fatores associados em jovens. Rev Paul Pediatr 2014;32(3):215-22.
|
23.64040 Coledam DHC, Ferraiol PF, Pires Júnior R, Ribeiro EAG, Ferreira MAC, Oliveira AR de. Concordância entre dois pontos de corte para atividade física e fatores associados em jovens. Rev Paul Pediatr 2014;32(3):215-22.
|
| Beck et al.4242 Beck CC, Lopes A da S, Júnior F, De JC, Beck CC, Lopes AS, et al. Factors associated with serum lipids of adolescents from the Brazilian South. Rev Nutr 2014;27(1):35-43.
|
Três de Maio. RS (2006) |
Mean (hours/day) |
4.4 ± 2.4 |
4.2 ± 2.5 |
4.5 ± 2.2 |
| Dias et al.4343 Dias PJP, Domingos IP, Ferreira MG, Muraro AP, Sichieri R, Gonçalves-Silva RMV. Prevalência e fatores associados aos comportamentos sedentários em adolescentes. Rev Saúde Pública 2014;48(2):266-74.
|
Cuiabá. MT (2009 and 2011) |
< 4 hours/day |
41.9 |
43.2 |
40.5 |
| Moraes et al.4444 De Moraes ACF, Fernández-Alvira JM, Rendo-Urteaga T, Julián-Almárcegui C, Beghin L, Kafatos A, et al. Effects of clustering of multiple lifestyle-related behaviors on blood pressure in adolescents from two observational studies. Prev Med 2016;82(1):111-7.
|
Maringá. PR (2007) |
Cluster: Sedentary4444 De Moraes ACF, Fernández-Alvira JM, Rendo-Urteaga T, Julián-Almárcegui C, Beghin L, Kafatos A, et al. Effects of clustering of multiple lifestyle-related behaviors on blood pressure in adolescents from two observational studies. Prev Med 2016;82(1):111-7.
|
n.a. |
44.74444 De Moraes ACF, Fernández-Alvira JM, Rendo-Urteaga T, Julián-Almárcegui C, Beghin L, Kafatos A, et al. Effects of clustering of multiple lifestyle-related behaviors on blood pressure in adolescents from two observational studies. Prev Med 2016;82(1):111-7.
|
17.84444 De Moraes ACF, Fernández-Alvira JM, Rendo-Urteaga T, Julián-Almárcegui C, Beghin L, Kafatos A, et al. Effects of clustering of multiple lifestyle-related behaviors on blood pressure in adolescents from two observational studies. Prev Med 2016;82(1):111-7.
|
| Moraes et al.4545 De Moraes ACF, Carvalho HB, Rey-López JP, Gracia-Marco L, Beghin L, Kafatos A, et al. Independent and combined effects of physical activity and sedentary behavior on blood pressure in adolescents: gender differences in two cross-sectionalstudies. Plos One 2013;8(5):e62006.
|
Maringá. PR (2007) |
Mean (hours/day)4545 De Moraes ACF, Carvalho HB, Rey-López JP, Gracia-Marco L, Beghin L, Kafatos A, et al. Independent and combined effects of physical activity and sedentary behavior on blood pressure in adolescents: gender differences in two cross-sectionalstudies. Plos One 2013;8(5):e62006.
|
n.a. |
7.145 |
6.045 |
| Moraes and Falcão4646 Moraes ACF de, Falcão MC. Lifestyle factors and socioeconomic variables associated with abdominal obesity in Brazilian adolescents. Ann Hum Biol 2013;40(1):1-8.
|
Maringá. PR (2007) |
< 2 hours/day4646 Moraes ACF de, Falcão MC. Lifestyle factors and socioeconomic variables associated with abdominal obesity in Brazilian adolescents. Ann Hum Biol 2013;40(1):1-8.
|
n.a. |
4.44646 Moraes ACF de, Falcão MC. Lifestyle factors and socioeconomic variables associated with abdominal obesity in Brazilian adolescents. Ann Hum Biol 2013;40(1):1-8.
|
3.146 |
| Santos et al.99 Santos A, Andaki ACR, Amorim PR dos S, Mendes EL. Factors associated with sedentary behavior in 9- to 12-year-old school children. Motriz: J Phys Ed 2013;19(3):25-34.
|
Uberaba-MG (2012) |
Mean (min/day) |
225.0 ± 195.0 |
240.0 |
195.0 |
| Vasconcelos et al.4747 Vasconcellos MB de, Anjos LA dos, Vasconcellos MTL. Estado nutricional e tempo de tela de escolares da Rede Pública de Ensino Fundamental de Niterói, Rio de Janeiro, Brasil. Cad Saúde Pública 2013;29(4):713-22.
|
Niterói. RJ (2010) |
Mean (hours/week) |
n.a. |
41.2 ± 2.2 |
38.8 ± 1.4 |
| Bergman et al.4848 Bergmann GG, Bergmann ML de A, Marques AC, Hallal PC. Prevalence of physical inactivity and associated factors among adolescents from public schools in Uruguaiana, Rio Grande do Sul State, Brazil. Cad Saúde Pública 2013;29(11):2217-29.
|
Uruguaiana. RS (2011) |
< 3 hours/day |
35.8 |
n.a. |
n.a. |
| Lucena et al.4949 Lucena JMS de, Cheng LA, Cavalcante TLM, Silva VA da, Farias Júnior, JC. Prevalence of excessive screen time and associated factors in adolescents. Rev Paul Pediatr 2015;33(4):407-14.
|
João Pessoa. PB (2009) |
< 2 hours/day |
20.5 |
15.7 |
23.9 |
| Costa and Assis2020 Costa FF da, Assis MAA. Nível de atividade física e comportamentos sedentários de escolares de sete a dez anos de Florianópolis-SC. Rev Bras Ativ Fís Saúde 2011;16(1):48-54.
|
Florianópolis. SC (2002) |
≤ 2 hours/day |
Public school: 22.0
Private school: 21.0 |
Public school: 19.0
Private school: 17.0 |
Public school: 25.0
Private school: 24.0 |
| Legnani et al.5252 Legnani E, Legnani RF, Dellagrana RA, Silva MP, Barbosa Filho VC, Campos W. Comportamentos de risco à saúde e excesso de peso corporal em escolares de Toledo, Paraná, Brasil. Motricidade 2012;8(3):59-70.
|
Toledo-PR (2007) |
≤ 2 hours/day |
52.3 |
10-12 years: 54.7
13-15 years: 43.7 |
10-12 years: 55
13-15 years: 56.7 |
| Mazaro et al.107107 Ramos Mazaro IA, Lurdes Zanolli M de, R.G.M. Antonio MÂ, Moreno Morcillo A, Porto Zambon M. Obesidade e fatores de risco cardiovascular em estudantes de Sorocaba, SP. Rev Assoc Médica Bras 2011;57(6):674-80.
|
Sorocaba-SP (2009) |
< 2 hours/day |
35.0 |
|
|
Legnani et al.5353 Legnani E, Legnani RFS, Filho B, Cordeiro V, Gasparotto G da S, Campos W, et al. Fatores de risco à saúde cardiovascular em escolares da Tríplice Fronteira. Motriz: J Phys Ed 2011;17(4):640-9.
Legnani et al.5454 Legnani E, Legnani RFS, Filho VCB, Krinski K, Elsangedy HM, de Campos W, et al. Fatores associados ao excesso de peso corporal em escolares da tríplice fronteira: Argentina, Brasil e Paraguai. Arch Latinoam Nutr 2010;60(4):340-7.
|
Foz do Iguacu-PR (2005) |
< 2 hours/day |
68.05353 Legnani E, Legnani RFS, Filho B, Cordeiro V, Gasparotto G da S, Campos W, et al. Fatores de risco à saúde cardiovascular em escolares da Tríplice Fronteira. Motriz: J Phys Ed 2011;17(4):640-9.
67.25454 Legnani E, Legnani RFS, Filho VCB, Krinski K, Elsangedy HM, de Campos W, et al. Fatores associados ao excesso de peso corporal em escolares da tríplice fronteira: Argentina, Brasil e Paraguai. Arch Latinoam Nutr 2010;60(4):340-7.
|
60.85353 Legnani E, Legnani RFS, Filho B, Cordeiro V, Gasparotto G da S, Campos W, et al. Fatores de risco à saúde cardiovascular em escolares da Tríplice Fronteira. Motriz: J Phys Ed 2011;17(4):640-9.
|
65.75353 Legnani E, Legnani RFS, Filho B, Cordeiro V, Gasparotto G da S, Campos W, et al. Fatores de risco à saúde cardiovascular em escolares da Tríplice Fronteira. Motriz: J Phys Ed 2011;17(4):640-9.
|
| Oliveira et al.1818 Oliveira TC de, Silva AAM da, Santos C de JN dos, Silva JS e, Conceição SIO da. Physical activity and sedentary lifestyle among children from private and public schools in Northern Brazil. Rev Saúde Pública 2010;44(6):996-1004.
|
São Luís. MA (2005) |
≤ 2 hours/day |
46.1 |
n.a. |
n.a. |
| Cimadon et al.110110 Cimadon HMS, Geremia R, Pellanda LC. Dietary habits and risk factors for atherosclerosis in students from Bento Gonçalves (state of Rio Grande do Sul). Arq Bras Cardiol 2010;95(2):166-72.
|
Bento Gonçalves. RS (n.a.) |
< 5 hours/day |
57.5 |
n.a. |
n.a. |
| Lancarotte et al.5555 Lancarotte I, Nobre MR, Zanetta R, Polydoro M. Lifestyle and cardiovascular health in school adolescents from São Paulo. Arq Bras Cardiol 2010;95(1):61-9.
|
São Paulo-SP (2010) |
< 2 hours /day |
n.a |
34.1 |
29.5 |
| Molina et al.108108 Molina M del CB, Faria CP de, Montero MP, Cade NV, Mill JG. Cardiovascular risk factors in 7-to-10-year-old children in Vitória, Espírito Santo State, Brazil. Cad Saúde Pública 2010;26(5):909-17.
|
Vitória-ES (2010) |
< 4 hours/day |
51.3 |
46.2 |
55 |
| Moraes et al.5656 Moraes ACF, Fernandes CAM, Elias RGM, Nakashima ATA, Reichert FF, Falcão MC. Prevalência de inatividade física e fatores associados em adolescentes. Rev Assoc Médica Bras 2009;55(5):523-8.
|
Maringá-PR (2007) |
< 4 hours/day |
18.3 |
|
|
| Vasques and Lopes5757 Vasques DG, Lopes A da S. Fatores associados à atividade física e aos comportamentos sedentários em adolescentes. Rev Bras Cineantropom Desempenho Hum 2009;11(1):59-66.
|
Caxias do Sul. RS (2007) |
< 2 hours/day |
13.4 |
10.4 |
16 |
| Castro et al.5858 Castro IRR de, Cardoso LO, Engstrom EM, Levy RB, Monteiro CA. Vigilância de fatores de risco para doenças não transmissíveis entre adolescentes: a experiênciada cidade do Rio de Janeiro, Brasil. Cad Saúde Pública 2008;24(10):2279-88.
|
Rio de Janeiro. RJ (2003) |
< 4 hours/day |
28.3 |
28.1 |
28.5 |
| Silva et al.6161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
|
|
|
|
2001: 23.2
2011: 9.16161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
|
2001: 24.5
2011: 9.76161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
|
| Silva et al.5959 Silva KS da, Nahas MV, Hoefelmann LP, Lopes A da S, Oliveira ES de. Associações entre atividade física, índice de massa corporal e comportamentos sedentários em adolescentes. Rev Bras Epidemiol 2008;11(1):159-68.
|
Santa Catarina State
(2001 e 2011)
2011 |
< 2 hours/day5959 Silva KS da, Nahas MV, Hoefelmann LP, Lopes A da S, Oliveira ES de. Associações entre atividade física, índice de massa corporal e comportamentos sedentários em adolescentes. Rev Bras Epidemiol 2008;11(1):159-68.,6161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
|
2001: 24.0
2011: 9.46161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
|
15 years: 27.5
16 years: 25.2
17 years: 27.2
18 years: 24.9
19 years: 28.95959 Silva KS da, Nahas MV, Hoefelmann LP, Lopes A da S, Oliveira ES de. Associações entre atividade física, índice de massa corporal e comportamentos sedentários em adolescentes. Rev Bras Epidemiol 2008;11(1):159-68.
|
15 years: 27.0
16 years: 25.8
17 years: 30.1
18 years: 27.3
19 years: 29.15959 Silva KS da, Nahas MV, Hoefelmann LP, Lopes A da S, Oliveira ES de. Associações entre atividade física, índice de massa corporal e comportamentos sedentários em adolescentes. Rev Bras Epidemiol 2008;11(1):159-68.
|
Silva et al.104104 Silva KS da, Nahas MV, Peres KG, Lopes A da S. Factors associated withphysical activity, sedentary behavior, and participation in physical educationamong high school students in Santa Catarina State, Brazil. Cad Saúde Pública 2009;25(10):2187-200.
Silva et al.6262 Silva KS, Barbosa Filho VC, Del Duca GF, Peres MA, Mota J, Lopes AS, et al. Gender differences in the clustering patterns of risk behaviours associated with non-communicable diseases in Brazilian adolescents. Prev Med 2014;65(8):77-81.
|
State of Santa Catarina
(2001 e 2011) |
< 4 hours/day104104 Silva KS da, Nahas MV, Peres KG, Lopes A da S. Factors associated withphysical activity, sedentary behavior, and participation in physical educationamong high school students in Santa Catarina State, Brazil. Cad Saúde Pública 2009;25(10):2187-200.,6262 Silva KS, Barbosa Filho VC, Del Duca GF, Peres MA, Mota J, Lopes AS, et al. Gender differences in the clustering patterns of risk behaviours associated with non-communicable diseases in Brazilian adolescents. Prev Med 2014;65(8):77-81.
|
61.5104104 Silva KS da, Nahas MV, Peres KG, Lopes A da S. Factors associated withphysical activity, sedentary behavior, and participation in physical educationamong high school students in Santa Catarina State, Brazil. Cad Saúde Pública 2009;25(10):2187-200.
|
37.7104104 Silva KS da, Nahas MV, Peres KG, Lopes A da S. Factors associated withphysical activity, sedentary behavior, and participation in physical educationamong high school students in Santa Catarina State, Brazil. Cad Saúde Pública 2009;25(10):2187-200.
39.06262 Silva KS, Barbosa Filho VC, Del Duca GF, Peres MA, Mota J, Lopes AS, et al. Gender differences in the clustering patterns of risk behaviours associated with non-communicable diseases in Brazilian adolescents. Prev Med 2014;65(8):77-81.
|
39.1104104 Silva KS da, Nahas MV, Peres KG, Lopes A da S. Factors associated withphysical activity, sedentary behavior, and participation in physical educationamong high school students in Santa Catarina State, Brazil. Cad Saúde Pública 2009;25(10):2187-200.
40.46262 Silva KS, Barbosa Filho VC, Del Duca GF, Peres MA, Mota J, Lopes AS, et al. Gender differences in the clustering patterns of risk behaviours associated with non-communicable diseases in Brazilian adolescents. Prev Med 2014;65(8):77-81.
|
| Sune et al.6464 Suñé FR, Dias-da-Costa JS, Olinto MTA, Pattussi MP. Prevalence of overweightand obesity and associated factors among schoolchildren in a southern Brazilian city. Cad Saúde Pública 2007;23(6):1361-71.
|
Capão da Canoa. RS (2004) |
< 4.5 hours/day |
68.6 |
|
|
| TV Watching Time |
|
|
|
|
|
Sousa and Silva2121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
Castro et al.2525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
São José. SC (2014) |
< 2 hours/day2121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.,2525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
48.42121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
21.42525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
52.82121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
44.82121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
| Silva et al.3333 Silva AO da, Oliveira LMFT de, Santos MAM dos, Tassitano RM. Tempo de tela, percepção da qualidade de sono e episódios de parassonia em adolescentes. Rev Bras Med Esporte 2017;23(5):375-9.
|
Caruaru. PE (2014) |
< 2 hours/day |
28.3 |
|
|
| Munaro et al.6565 Munaro HLR, Silva DAS, Lopes ADS. Prevalência de tempo excessivo de tela e fatores associados em escolares de uma cidade do nordeste. J Hum Growth Dev 2016;26(3):360-7.
|
Jequié - BA (2015) |
< 2 hours/day |
67.2 |
|
|
| Regis et al.1313 Regis MF, de Oliveira LMFT, dos Santos ARM, Leonidio A da CR, DinizPRB, de Freitas CMSM. Urban versus rural lifestyle in adolescents: associations between environment, physical activity levels and sedentary behavior. Einstein 2016;14(4):461-7.
|
Recife-PE (2011) |
< 4 hours/day |
86.5 |
|
|
| Silva et al.111111 Silva DAS, Teixeira DM, Oliveira G, Petroski EL, Farias JM. Aerobic fitness in adolescents in southern Brazil: Association with sociodemographic aspects, lifestyleand nutritional status. Rev Andal Med Deporte 2016;9(1):17-22.
|
Criciúma- SC (2010) |
Mean (min/day) |
n.a. |
6.0 ±3.0 |
6.0 ±3.0 |
| Silva et al.6767 Silva DR, Ohara D, Tomeleri CM, Batista MB, Fernandes RA, Ronque ER, etal. Association between risk behaviors and adiposity indicators in adolescents fromSouthern Brazil: A methodological approach. J Child Health Care 2016;20(3):314-23.
|
Londrina-PR (2011) |
< 4 hours/day |
55.0 |
55.6 |
54.5 |
| Bezerra et al.6969 Bezerra E de S, Neves EB, Rossato M, Santos JOL dos, Nahas MV, Barbosa TM dos SP. The influence of gender on the practice of physical activityin high school adolescents in the city of Manaus. Mundo Saúde 2016;40(3):302-309.
|
Manaus. AM (2011) |
≤ 2 hours/day |
n.a. |
Weekdays: 39.3
Weekends: 40.3 |
Weekdays: 44.3
Weekends: 36.0 |
Bezerra et al.6868 Bezerra J, Lopes AS, Hardmam CM, Tassitano RM, Tenório MCM, de Barros MVG. Consumo de bebidas alcoólicas e tabagismo: associação com inatividade física no lazer e comportamento sedentário. Rev Andal Med Deporte 2015;8(1):1-6.
Brito et al.7070 Brito AL da S, Hardman CM, Barros MVG de. Prevalence and factors associated with the co-occurrence of health risk behaviors in adolescents. Rev Paul Pediatr 2015;33(4):423-30.
|
Pernambuco State (2006) |
≤ 2 hours/day6868 Bezerra J, Lopes AS, Hardmam CM, Tassitano RM, Tenório MCM, de Barros MVG. Consumo de bebidas alcoólicas e tabagismo: associação com inatividade física no lazer e comportamento sedentário. Rev Andal Med Deporte 2015;8(1):1-6.
≤ 4 hours/day7070 Brito AL da S, Hardman CM, Barros MVG de. Prevalence and factors associated with the co-occurrence of health risk behaviors in adolescents. Rev Paul Pediatr 2015;33(4):423-30.
|
Weekdays: 59.26868 Bezerra J, Lopes AS, Hardmam CM, Tassitano RM, Tenório MCM, de Barros MVG. Consumo de bebidas alcoólicas e tabagismo: associação com inatividade física no lazer e comportamento sedentário. Rev Andal Med Deporte 2015;8(1):1-6.
Weekend: 50.16868 Bezerra J, Lopes AS, Hardmam CM, Tassitano RM, Tenório MCM, de Barros MVG. Consumo de bebidas alcoólicas e tabagismo: associação com inatividade física no lazer e comportamento sedentário. Rev Andal Med Deporte 2015;8(1):1-6.
81.37070 Brito AL da S, Hardman CM, Barros MVG de. Prevalence and factors associated with the co-occurrence of health risk behaviors in adolescents. Rev Paul Pediatr 2015;33(4):423-30.
|
Weekdays: 60.36868 Bezerra J, Lopes AS, Hardmam CM, Tassitano RM, Tenório MCM, de Barros MVG. Consumo de bebidas alcoólicas e tabagismo: associação com inatividade física no lazer e comportamento sedentário. Rev Andal Med Deporte 2015;8(1):1-6.
Weekend: 46.06868 Bezerra J, Lopes AS, Hardmam CM, Tassitano RM, Tenório MCM, de Barros MVG. Consumo de bebidas alcoólicas e tabagismo: associação com inatividade física no lazer e comportamento sedentário. Rev Andal Med Deporte 2015;8(1):1-6.
83.57070 Brito AL da S, Hardman CM, Barros MVG de. Prevalence and factors associated with the co-occurrence of health risk behaviors in adolescents. Rev Paul Pediatr 2015;33(4):423-30.
|
Weekdays: 58.46868 Bezerra J, Lopes AS, Hardmam CM, Tassitano RM, Tenório MCM, de Barros MVG. Consumo de bebidas alcoólicas e tabagismo: associação com inatividade física no lazer e comportamento sedentário. Rev Andal Med Deporte 2015;8(1):1-6.
Weekend: 52.96868 Bezerra J, Lopes AS, Hardmam CM, Tassitano RM, Tenório MCM, de Barros MVG. Consumo de bebidas alcoólicas e tabagismo: associação com inatividade física no lazer e comportamento sedentário. Rev Andal Med Deporte 2015;8(1):1-6.
79.87070 Brito AL da S, Hardman CM, Barros MVG de. Prevalence and factors associated with the co-occurrence of health risk behaviors in adolescents. Rev Paul Pediatr 2015;33(4):423-30.
|
| Melzer et al.1919 Melzer MRTF, Magrini IM, Domene SMÁ, Martins PA. Factors associated withabdominal obesity in children. Rev Paul Pediatr 2015;33(4):437-44.
|
Santos. SP (2010) |
< 2 hours/day |
16.8 |
|
|
| Fronza et al.7171 Fronza FCAO, Minatto G, Martins CR, Petroski EL. Excessive TV Viewing Time and Associated Factors in Brazilian Adolescents from a Rural Area. Hum Mov 2015;16(1):20-27.
|
São Bonifácio. SC (2010) |
< 2 hours/day |
Weekdays: 23.3
Weekend: 21.6 |
20.5 |
26.5 |
| Martins et al.7272 Martins JS, Souza EA de, Trompieri Filho N. Fatores associados ao tempo de tela em estudantes do ensino médio de Fortaleza, região Nordeste do Brasil. Sci Med Porto Alegre Online 2015;25(4):20985-20985.
|
Fortaleza. CE (2011) |
< 3 hours/day |
48.9 |
49.5 |
50.5 |
| Ferreira et al.7373 Ferreira NL, Claro RM, Lopes ACS. Consumption of sugar-rich food products among Brazilian students:National School Health Survey (PeNSE 2012). Cad Saude Publica 2015;31(12):2493-504.
|
Brazil (2012) |
≤ 2 hours/day |
36.3 |
n.a. |
n.a. |
| Dutra et al.102102 Dutra GF, Kaufmann CC, Pretto ADB, Albernaz EP, Dutra GF, Kaufmann CC, et al. Television viewing habits and their influence on physical activity and childhood overweight. J Pediatr 2015;91(4):346-51.
|
Pelotas. RS (2002) |
< 2 hours/day |
40.6 |
n.a. |
n.a. |
Silva et al.7474 Silva RJ dos S, Silva DAS, Oliveira AC. Low physical activity levels and associated factors in Brazilian adolescents from public high schools. J Phys Act Health 2014;11(7):1438-45.
Silva et al.7575 Silva DAS, Tremblay MS, Gonçalves ECA, Silva RJS. Television Time among Brazilian Adolescents: Correlated Factors are Different between Boys and Girls. Sci World J 2014:794539.
|
Aracaju. SE (2011) |
< 2 hours/day7474 Silva RJ dos S, Silva DAS, Oliveira AC. Low physical activity levels and associated factors in Brazilian adolescents from public high schools. J Phys Act Health 2014;11(7):1438-45.,7575 Silva DAS, Tremblay MS, Gonçalves ECA, Silva RJS. Television Time among Brazilian Adolescents: Correlated Factors are Different between Boys and Girls. Sci World J 2014:794539.
|
n.a. |
33.2 7474 Silva RJ dos S, Silva DAS, Oliveira AC. Low physical activity levels and associated factors in Brazilian adolescents from public high schools. J Phys Act Health 2014;11(7):1438-45.
33.87575 Silva DAS, Tremblay MS, Gonçalves ECA, Silva RJS. Television Time among Brazilian Adolescents: Correlated Factors are Different between Boys and Girls. Sci World J 2014:794539.
|
29 7474 Silva RJ dos S, Silva DAS, Oliveira AC. Low physical activity levels and associated factors in Brazilian adolescents from public high schools. J Phys Act Health 2014;11(7):1438-45.
29.1 7575 Silva DAS, Tremblay MS, Gonçalves ECA, Silva RJS. Television Time among Brazilian Adolescents: Correlated Factors are Different between Boys and Girls. Sci World J 2014:794539.
|
| Santos et al.99 Santos A, Andaki ACR, Amorim PR dos S, Mendes EL. Factors associated with sedentary behavior in 9- to 12-year-old school children. Motriz: J Phys Ed 2013;19(3):25-34.
|
Uberaba. MG (2012) |
n.a. |
n.a. |
Weekdays: 120 min/day
Weekend: 180 min/day |
Weekdays: 120 min/day
Weekend: 180 min/day |
| Vitta et al.7676 Vitta AD, Barros DS de, Palma R, Soares MVF, Conti MHSD, Gatti MAN, et al. Prevalência e fatores associados à adiposidade central e periférica em estudantesdo ensino fundamental brasileiro. J Hum Growth Dev 2013;23(3):365-71.
|
Bauru- SP (2009) |
< 2 hours/day |
29.2 |
29.2 |
29.5 |
| Vasconcelos et al.4747 Vasconcellos MB de, Anjos LA dos, Vasconcellos MTL. Estado nutricional e tempo de tela de escolares da Rede Pública de Ensino Fundamental de Niterói, Rio de Janeiro, Brasil. Cad Saúde Pública 2013;29(4):713-22.
|
Niterói. RJ (2010) |
Mean (hours/week) |
24.2 |
20.3 ± 1.3 |
26.1 ± 1.1 |
Martins et al.5050 Martins MO, Cavalcante VLF, Holanda GS, Oliveira CG, Maia FES, Meneses Júnior JR, et al. Associação entre comportamento sedentário e fatores psicossociaise ambientais em adolescentes da região nordeste do Brasil. Rev Bras Ativ Fís Saúde;2012;17(2):e201204.
Farias Junior et al.5151 Farias Júnior, JC, Lopes A da S, Mota J, Hallal PC. Physical activity practice and associated factors in adolescents in Northeastern Brazil. Rev Saúde Pública 2012;46(3):505-15.
|
João Pessoa. PB (2009) |
≤ 2 hours/day |
26.85050 Martins MO, Cavalcante VLF, Holanda GS, Oliveira CG, Maia FES, Meneses Júnior JR, et al. Associação entre comportamento sedentário e fatores psicossociaise ambientais em adolescentes da região nordeste do Brasil. Rev Bras Ativ Fís Saúde;2012;17(2):e201204.
Weekdays: 33.05151 Farias Júnior, JC, Lopes A da S, Mota J, Hallal PC. Physical activity practice and associated factors in adolescents in Northeastern Brazil. Rev Saúde Pública 2012;46(3):505-15.
Weekend: 42.25151 Farias Júnior, JC, Lopes A da S, Mota J, Hallal PC. Physical activity practice and associated factors in adolescents in Northeastern Brazil. Rev Saúde Pública 2012;46(3):505-15.
|
25.85050 Martins MO, Cavalcante VLF, Holanda GS, Oliveira CG, Maia FES, Meneses Júnior JR, et al. Associação entre comportamento sedentário e fatores psicossociaise ambientais em adolescentes da região nordeste do Brasil. Rev Bras Ativ Fís Saúde;2012;17(2):e201204.
Weekdays: 33.35151 Farias Júnior, JC, Lopes A da S, Mota J, Hallal PC. Physical activity practice and associated factors in adolescents in Northeastern Brazil. Rev Saúde Pública 2012;46(3):505-15.
Weekend: 41.35151 Farias Júnior, JC, Lopes A da S, Mota J, Hallal PC. Physical activity practice and associated factors in adolescents in Northeastern Brazil. Rev Saúde Pública 2012;46(3):505-15.
|
27.75050 Martins MO, Cavalcante VLF, Holanda GS, Oliveira CG, Maia FES, Meneses Júnior JR, et al. Associação entre comportamento sedentário e fatores psicossociaise ambientais em adolescentes da região nordeste do Brasil. Rev Bras Ativ Fís Saúde;2012;17(2):e201204.
Weekdays: 34.35151 Farias Júnior, JC, Lopes A da S, Mota J, Hallal PC. Physical activity practice and associated factors in adolescents in Northeastern Brazil. Rev Saúde Pública 2012;46(3):505-15.
Weekend: 42.75151 Farias Júnior, JC, Lopes A da S, Mota J, Hallal PC. Physical activity practice and associated factors in adolescents in Northeastern Brazil. Rev Saúde Pública 2012;46(3):505-15.
|
Barbosa Filho et al.7777 Barbosa Filho VC, Lopes A da S, Bozza R, Rech CR, de Campos W. Correlates ofcardiorespiratory and muscular fitness among Brazilian adolescents. Am J Health Behav 2014;38(1):4252.
Barbosa Filho et al.7878 Barbosa Filho VC, de Campos W, Bozza R, Lopes A da S. The prevalence and correlates of behavioral risk factors for cardiovascular health among Southern Braziladolescents: a cross-sectional study. BMC Pediatr 2012;12:130.
|
Curitiba. PR (2011) |
< 3 hours/day |
23.57777 Barbosa Filho VC, Lopes A da S, Bozza R, Rech CR, de Campos W. Correlates ofcardiorespiratory and muscular fitness among Brazilian adolescents. Am J Health Behav 2014;38(1):4252.
71.27878 Barbosa Filho VC, de Campos W, Bozza R, Lopes A da S. The prevalence and correlates of behavioral risk factors for cardiovascular health among Southern Braziladolescents: a cross-sectional study. BMC Pediatr 2012;12:130.
|
22.47777 Barbosa Filho VC, Lopes A da S, Bozza R, Rech CR, de Campos W. Correlates ofcardiorespiratory and muscular fitness among Brazilian adolescents. Am J Health Behav 2014;38(1):4252.
68.67878 Barbosa Filho VC, de Campos W, Bozza R, Lopes A da S. The prevalence and correlates of behavioral risk factors for cardiovascular health among Southern Braziladolescents: a cross-sectional study. BMC Pediatr 2012;12:130.
|
24.67777 Barbosa Filho VC, Lopes A da S, Bozza R, Rech CR, de Campos W. Correlates ofcardiorespiratory and muscular fitness among Brazilian adolescents. Am J Health Behav 2014;38(1):4252.
73.77878 Barbosa Filho VC, de Campos W, Bozza R, Lopes A da S. The prevalence and correlates of behavioral risk factors for cardiovascular health among Southern Braziladolescents: a cross-sectional study. BMC Pediatr 2012;12:130.
|
| Costa and Assis2020 Costa FF da, Assis MAA. Nível de atividade física e comportamentos sedentários de escolares de sete a dez anos de Florianópolis-SC. Rev Bras Ativ Fís Saúde 2011;16(1):48-54.
|
Florianópolis. SC (2002) |
< 2 hours/day |
Public school: 32.0
Private school: 40.0 |
Public school: 34.0
Private school: 43.0 |
Public school: 30.0
Private school: 37.0 |
| Camelo et al. 7979 Camelo L do V, Rodrigues JF de C, Giatti L, Barreto SM. Lazer sedentário e consumo de alimentos entre adolescentes brasileiros: Pesquisa Nacional de Saúde do Escolar (PeNSE), 2009. Cad Saúde Pública- 2012;28(11):2155-62.
|
|
|
35.07979 Camelo L do V, Rodrigues JF de C, Giatti L, Barreto SM. Lazer sedentário e consumo de alimentos entre adolescentes brasileiros: Pesquisa Nacional de Saúde do Escolar (PeNSE), 2009. Cad Saúde Pública- 2012;28(11):2155-62.
|
37.07979 Camelo L do V, Rodrigues JF de C, Giatti L, Barreto SM. Lazer sedentário e consumo de alimentos entre adolescentes brasileiros: Pesquisa Nacional de Saúde do Escolar (PeNSE), 2009. Cad Saúde Pública- 2012;28(11):2155-62.
|
33.27979 Camelo L do V, Rodrigues JF de C, Giatti L, Barreto SM. Lazer sedentário e consumo de alimentos entre adolescentes brasileiros: Pesquisa Nacional de Saúde do Escolar (PeNSE), 2009. Cad Saúde Pública- 2012;28(11):2155-62.
|
| Hallal et al.8080 Hallal PC, Knuth AG, Cruz DKA, Mendes MI, Malta DC. Physical activity practice among Brazilian adolescents. Cien Saude Colet 2010:15(2)3035-42.
|
Brazil (2009) |
≤ 2 hours/day |
20.88080 Hallal PC, Knuth AG, Cruz DKA, Mendes MI, Malta DC. Physical activity practice among Brazilian adolescents. Cien Saude Colet 2010:15(2)3035-42.
|
20.68080 Hallal PC, Knuth AG, Cruz DKA, Mendes MI, Malta DC. Physical activity practice among Brazilian adolescents. Cien Saude Colet 2010:15(2)3035-42.
|
20.58080 Hallal PC, Knuth AG, Cruz DKA, Mendes MI, Malta DC. Physical activity practice among Brazilian adolescents. Cien Saude Colet 2010:15(2)3035-42.
|
| Malta et al. 8181 Malta DC, Sardinha LMV, Mendes I, Barreto SM, Giatti L, Castro IRR de, et al. Prevalence of risk health behavior among adolescents: results from the 2009 National Adolescent School-based Health Survey (PeNSE). Cien Saude Colet 2010;15(2):3009-19.
|
|
|
20.58181 Malta DC, Sardinha LMV, Mendes I, Barreto SM, Giatti L, Castro IRR de, et al. Prevalence of risk health behavior among adolescents: results from the 2009 National Adolescent School-based Health Survey (PeNSE). Cien Saude Colet 2010;15(2):3009-19.
|
20.68181 Malta DC, Sardinha LMV, Mendes I, Barreto SM, Giatti L, Castro IRR de, et al. Prevalence of risk health behavior among adolescents: results from the 2009 National Adolescent School-based Health Survey (PeNSE). Cien Saude Colet 2010;15(2):3009-19.
|
20.58181 Malta DC, Sardinha LMV, Mendes I, Barreto SM, Giatti L, Castro IRR de, et al. Prevalence of risk health behavior among adolescents: results from the 2009 National Adolescent School-based Health Survey (PeNSE). Cien Saude Colet 2010;15(2):3009-19.
|
| Alves et al.8282 Alves CF de A, Silva R de CR, Assis AMO, Souza C de O, Pinto E de J, Frainer DES. Factors associated with physical inactivity in adolescents aged 10-14 years, enrolled in the public school network of the city of Salvador, Brazil. Rev Bras Epidemiol 2012;15(4):858-70.
|
Salvador. BA (n.a.) |
< 3.3 hours/day |
48.7 |
n.a. |
n.a. |
| Farias et al..8383 Farias E dos S, Santos AP dos, Farias-Júnior JC de, Ferreira CRT, Carvalho WRG de, Gonçalves EM, et al. Excess weight and associated factors in adolescents. Rev Nutr 2012;25(2):229-36.
|
Rio Branco. AC (2009) |
< 2 hours/day |
60.1 |
n.a. |
n.a. |
| de Vitta et al.8484 De Vitta A, Martinez MG, Piza NT, Simeão SF de AP, Ferreira NP. Prevalence of lower back pain and associated factors in students. Cad Saúde Pública 2011;27(8):1520-8.
|
Bauru. SP (2007) |
≤ 2 hours/day |
27.0 |
28.9 |
25.5 |
| Fermino et al.8585 Fermino RC, Rech CR, Hino AAF, Rodriguez Añez CR, Reis RS. Physicalactivity and associated factors in high-school adolescents in Southern Brazil. Rev Saude Publica 2010;44(6):986-95.
|
Curitiba. PR (2006) |
< 4 hours/day |
70.0 |
71.6 |
68.8 |
| Rivera et al.103103 Rivera IR, Silva MAM da, Silva RDTA, Oliveira BAV de, Carvalho ACC. Physicalinactivity, TV-watching hours and body composition in children and adolescents. Arq Bras Cardiol 2010;95(2):159-65.
|
Maceió. AL (2001) |
< 3 hours/day |
35.0 |
|
|
| Tenório et al.8686 Tenório MCM, Barros MVG de, Tassitano RM, Bezerra J, Tenório JM, Hallal PC. Physical activity and sedentary behavior among adolescent high school students. Rev Bras Epidemiol 2010;13(1):105-17.
|
Permambuco State (2006) |
< 3 hours/day |
59.1 |
46.0 |
52.9 |
| Pelegrini et al.8787 Pelegrini A, Petroski EL. Inatividade física e sua associação com estado nutricional,insatisfação com a imagem corporal e comportamentos sedentários em adolescentesde escolas públicas. Rev Paul Pediatr 2009;27(4):366-73.
|
Florianópolis. SC (2007) |
< 2 hours/day |
43.5 |
53.6 |
41.6 |
| Silva et al.6060 Silva DAS, Lima JO, Silva RJS, Prado RL. Nível de atividade física e comportamento sedentário em escolares. Rev Bras Cineantropom Desempenho Hum2009;11(3):299-306.
|
Aracaju. SE (n.a.) |
Mean (hours/day) |
n.a. |
5.50 ±3.54 |
5.70 ±4.16 |
| Mielke et al.1111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.
|
Pelotas. RS (2004. 2008 and 2011) |
< 4 hours/day |
11 years: 70.3
15 years: 76.9
18 years: 98.2 |
|
|
| Wells et al.8888 Wells JCK, Hallal PC, Reichert FF, Menezes AMB, Araújo CLP, Victora CG. Sleep patterns and television viewing in relation to obesity and blood pressure: evidence from an adolescent Brazilian birth cohort. Int J Obes 200;32(7):1042-9.
|
Pelotas. RS (2004. 2008 and 2011) |
≤ 2 hours/day |
27.1 |
29.9 |
24.5 |
| Hallal et al.8989 Hallal PC, Bertoldi AD, Gonçalves H, Victora CG. Prevalence of sedentarylifestyle and associated factors in adolescents 10 to 12 years of age. Cad Saúde Pública 2006;22(6):1277-87.
|
Pelotas. RS (2004. 2008 and 2011) |
Tertil |
1st tertile: 1579
(35.6)
2nd tertile 1401
(31.6)
3rd tertile 1457
(32.8) |
|
|
| Dumith et al.9090 Dumith SC, Hallal PC, Menezes AMB, Araújo CL. Sedentary behavior inadolescents: the 11-year follow-up of the 1993 Pelotas (Brazil) birth cohort study. Cad Saúde Pública 2010;26(10):1928-36.
|
Pelotas. RS (2004. 2008 and 2011) |
Mean (min/day) |
197.0 |
190.0 |
203.0 |
Fernandes et al.9191 Fernandes RA, Christofaro DGD, Casonatto J, Kawaguti SS, Ronque ERV, Cardoso JR, et al. Associação transversal entre hábitos alimentares saudáveis e não saudáveis e atividade física de lazer em adolescentes. J Pediatr 2011;87(3):252-6.
Fernandes et al.9292 Fernandes RA, Freitas Júnior IF, Cardoso JR, Vaz Ronque ER, Loch MR, OliveiraAR. Association between regular participation in sports and leisure time behaviorsin Brazilian adolescents: a cross-sectional study. BMC Public Health. 2008;8:329.
|
Presidente Prudente. SP (2007) |
TV viewing (use fre-quency: % low use= never and seldom) |
n.a |
70.89191 Fernandes RA, Christofaro DGD, Casonatto J, Kawaguti SS, Ronque ERV, Cardoso JR, et al. Associação transversal entre hábitos alimentares saudáveis e não saudáveis e atividade física de lazer em adolescentes. J Pediatr 2011;87(3):252-6.
11.29292 Fernandes RA, Freitas Júnior IF, Cardoso JR, Vaz Ronque ER, Loch MR, OliveiraAR. Association between regular participation in sports and leisure time behaviorsin Brazilian adolescents: a cross-sectional study. BMC Public Health. 2008;8:329.
|
56.09191 Fernandes RA, Christofaro DGD, Casonatto J, Kawaguti SS, Ronque ERV, Cardoso JR, et al. Associação transversal entre hábitos alimentares saudáveis e não saudáveis e atividade física de lazer em adolescentes. J Pediatr 2011;87(3):252-6.
6.49292 Fernandes RA, Freitas Júnior IF, Cardoso JR, Vaz Ronque ER, Loch MR, OliveiraAR. Association between regular participation in sports and leisure time behaviorsin Brazilian adolescents: a cross-sectional study. BMC Public Health. 2008;8:329.
|
Campagnolo et al.9494 Campagnolo PDB, Vitolo MR, Gama CM. Fatores associados ao hábito de assistirTV em excesso entre adolescentes. Rev Bras Med Esporte 2008;14(3):197-200.
Campagnolo et al.9393 Campagnolo PDB, Vitolo MR, Gama CM, Stein AT. Prevalence of overweight and associated factors in southern Brazilian adolescents. Public Health 2008;122(5):509-15.
|
São Leopoldo. RS (2002-2003) |
≤ 2 hours/day9494 Campagnolo PDB, Vitolo MR, Gama CM. Fatores associados ao hábito de assistirTV em excesso entre adolescentes. Rev Bras Med Esporte 2008;14(3):197-200.
≤ 4 hours/day9393 Campagnolo PDB, Vitolo MR, Gama CM, Stein AT. Prevalence of overweight and associated factors in southern Brazilian adolescents. Public Health 2008;122(5):509-15.
|
24.99494 Campagnolo PDB, Vitolo MR, Gama CM. Fatores associados ao hábito de assistirTV em excesso entre adolescentes. Rev Bras Med Esporte 2008;14(3):197-200.
59.09393 Campagnolo PDB, Vitolo MR, Gama CM, Stein AT. Prevalence of overweight and associated factors in southern Brazilian adolescents. Public Health 2008;122(5):509-15.
|
24.39494 Campagnolo PDB, Vitolo MR, Gama CM. Fatores associados ao hábito de assistirTV em excesso entre adolescentes. Rev Bras Med Esporte 2008;14(3):197-200.
59.79393 Campagnolo PDB, Vitolo MR, Gama CM, Stein AT. Prevalence of overweight and associated factors in southern Brazilian adolescents. Public Health 2008;122(5):509-15.
|
25.49494 Campagnolo PDB, Vitolo MR, Gama CM. Fatores associados ao hábito de assistirTV em excesso entre adolescentes. Rev Bras Med Esporte 2008;14(3):197-200.
58.39393 Campagnolo PDB, Vitolo MR, Gama CM, Stein AT. Prevalence of overweight and associated factors in southern Brazilian adolescents. Public Health 2008;122(5):509-15.
|
| Castro et al.5858 Castro IRR de, Cardoso LO, Engstrom EM, Levy RB, Monteiro CA. Vigilância de fatores de risco para doenças não transmissíveis entre adolescentes: a experiênciada cidade do Rio de Janeiro, Brasil. Cad Saúde Pública 2008;24(10):2279-88.
|
Rio de Janeiro. RJ (2003) |
< 4 hours/day |
44.3 |
49.7 |
39.5 |
Silva et al.6161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
Lopes et al.6363 Lopes AS, Silva KS, Barbosa Filho VC, Bezerra J, de Oliveira ESA, Nahas MV. Trends in screen time on week and weekend days in a representative sample of Southern Brazil students. J Public Health 2014;36(4):608-14.
|
Santa Catarina State (2001 e 2011) |
< 2 hours/day6161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.,6363 Lopes AS, Silva KS, Barbosa Filho VC, Bezerra J, de Oliveira ESA, Nahas MV. Trends in screen time on week and weekend days in a representative sample of Southern Brazil students. J Public Health 2014;36(4):608-14.
|
2001: 23.2
2011:38.56161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
|
2001: 23.3
2011: 41.46161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
2001
Week: 52.8
Weekend: 29.46363 Lopes AS, Silva KS, Barbosa Filho VC, Bezerra J, de Oliveira ESA, Nahas MV. Trends in screen time on week and weekend days in a representative sample of Southern Brazil students. J Public Health 2014;36(4):608-14.
2011:
Week:74.1
Weekend: 51.06363 Lopes AS, Silva KS, Barbosa Filho VC, Bezerra J, de Oliveira ESA, Nahas MV. Trends in screen time on week and weekend days in a representative sample of Southern Brazil students. J Public Health 2014;36(4):608-14.
|
2001: 23.3
2011: 36.26161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
2001
Week: 49.3
Weekend: 26.16363 Lopes AS, Silva KS, Barbosa Filho VC, Bezerra J, de Oliveira ESA, Nahas MV. Trends in screen time on week and weekend days in a representative sample of Southern Brazil students. J Public Health 2014;36(4):608-14.
2011:
Week: 63.7
Weekend: 49.36363 Lopes AS, Silva KS, Barbosa Filho VC, Bezerra J, de Oliveira ESA, Nahas MV. Trends in screen time on week and weekend days in a representative sample of Southern Brazil students. J Public Health 2014;36(4):608-14.
|
| Detsch et al.9595 Detsch C, Luz AMH, Candotti CT, Oliveira DS de, Lazaron F, Guimarães LK, et al. Prevalência de alterações posturais em escolares do ensino médio em uma cidade no Sul do Brasil. Rev Panam Salud Pública 2007;21(4):231-8.
|
São Leopoldo. RS (2004) |
≤ 10 hours/week |
n.a. |
n.a. |
67.5 |
| Costa et al.1010 Costa MCO, Silva MCM, Santos JS, Teles C, Souza KEP de, Melo BO. Estilo de vida de adolescentes: consumo alimentar, de bebida alcóolica e atividade física em Teixeira de Freitas - Bahia. Rev Baiana Saúde Pública 2004;28(2):151-66.
|
Teixeira de Freitas. BA (2001) |
< 2 hours/day |
52.5 |
56.3 |
46.6 |
| Computer Use Time |
|
|
|
|
|
| Mielke et al.1111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.
|
Pelotas. RS (2004. 2008 and 2011) |
< 2 hours/day |
11 years 97.7
15 years 78.8
18 years 73.4 |
|
|
| Hallal et al.8989 Hallal PC, Bertoldi AD, Gonçalves H, Victora CG. Prevalence of sedentarylifestyle and associated factors in adolescents 10 to 12 years of age. Cad Saúde Pública 2006;22(6):1277-87.
|
Pelotas. RS (2004. 2008 and 2011) |
< 1 hour/day |
90.3 |
|
|
| Dumith et al.9090 Dumith SC, Hallal PC, Menezes AMB, Araújo CL. Sedentary behavior inadolescents: the 11-year follow-up of the 1993 Pelotas (Brazil) birth cohort study. Cad Saúde Pública 2010;26(10):1928-36.
|
Pelotas. RS (2004. 2008 and 2011) |
Mean (min/day) |
17 |
20 |
13 |
Lima et al.1212 De Lima TR, Silva DAS. Prevalence of physical activity among adolescents in southern Brazil. J Bodyw Mov Ther 2018;22(1):57-63.
Castro et al.2525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
São José. SC (2014) |
< 4 hours/day1212 De Lima TR, Silva DAS. Prevalence of physical activity among adolescents in southern Brazil. J Bodyw Mov Ther 2018;22(1):57-63.,2525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
44.71212 De Lima TR, Silva DAS. Prevalence of physical activity among adolescents in southern Brazil. J Bodyw Mov Ther 2018;22(1):57-63.
31.32525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
|
|
| Sousa and Silva2121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
São José. SC (2014) |
< 2 hours/day2121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
|
37.72121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
50.42121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
| Silva et al.3333 Silva AO da, Oliveira LMFT de, Santos MAM dos, Tassitano RM. Tempo de tela, percepção da qualidade de sono e episódios de parassonia em adolescentes. Rev Bras Med Esporte 2017;23(5):375-9.
|
Caruaru. PE (2014) |
< 2 hours/day |
43.7 |
|
|
| Munaro et al.6565 Munaro HLR, Silva DAS, Lopes ADS. Prevalência de tempo excessivo de tela e fatores associados em escolares de uma cidade do nordeste. J Hum Growth Dev 2016;26(3):360-7.
|
Jequié. BA (2015) |
< 2 hours/day |
72.7 |
|
|
| Regis et al.1313 Regis MF, de Oliveira LMFT, dos Santos ARM, Leonidio A da CR, DinizPRB, de Freitas CMSM. Urban versus rural lifestyle in adolescents: associations between environment, physical activity levels and sedentary behavior. Einstein 2016;14(4):461-7.
|
Recife.PE (2011) |
< 4 hours/day |
90.5 |
|
|
| Silva et al.6666 Silva GRR, Pitangui ACR, Xavier MKA, Correia-Júnior MAV, De Araújo RC. Prevalence of musculoskeletal pain in adolescents and association with computer and videogame use. J Pediatr 2016;92(2):188-96.
|
Recife-PE (2011) |
Mean (hours/day) |
5.5 (±2.1) |
5.5 (±2.1) |
5.5 (±2.1) |
| Bezerra et al.6969 Bezerra E de S, Neves EB, Rossato M, Santos JOL dos, Nahas MV, Barbosa TM dos SP. The influence of gender on the practice of physical activityin high school adolescents in the city of Manaus. Mundo Saúde 2016;40(3):302-309.
|
Manaus. AM (2011) |
≤ 2 hours/day |
n.a. |
48.0 |
57.2 |
| Martins et al.7272 Martins JS, Souza EA de, Trompieri Filho N. Fatores associados ao tempo de tela em estudantes do ensino médio de Fortaleza, região Nordeste do Brasil. Sci Med Porto Alegre Online 2015;25(4):20985-20985.
|
Fortaleza. CE (2011) |
< 3 hours/day |
78.2 |
45.0 |
55.0 |
| Melzer et al.1919 Melzer MRTF, Magrini IM, Domene SMÁ, Martins PA. Factors associated withabdominal obesity in children. Rev Paul Pediatr 2015;33(4):437-44.
|
Santos. SP (2010) |
< 2 hours/day |
79.0 |
|
|
| Barbosa Filho et al.7777 Barbosa Filho VC, Lopes A da S, Bozza R, Rech CR, de Campos W. Correlates ofcardiorespiratory and muscular fitness among Brazilian adolescents. Am J Health Behav 2014;38(1):4252.
|
Curitiba. PR (2011) |
< 3 hours/day |
64.3 |
57.9 |
70.0 |
| Vasconcelos et al.4747 Vasconcellos MB de, Anjos LA dos, Vasconcellos MTL. Estado nutricional e tempo de tela de escolares da Rede Pública de Ensino Fundamental de Niterói, Rio de Janeiro, Brasil. Cad Saúde Pública 2013;29(4):713-22.
|
Niterói. RJ (2010) |
Mean (hours/week) |
n.a. |
11.9 (±1.3) |
10.6 (±0.9) |
| Santos et al.99 Santos A, Andaki ACR, Amorim PR dos S, Mendes EL. Factors associated with sedentary behavior in 9- to 12-year-old school children. Motriz: J Phys Ed 2013;19(3):25-34.
|
Uberaba. MG (2012) |
Median (minutes/day) |
n.a. |
Weekdays: 15
Weekend: 30 |
Weekdays: 30
Weekend: 30 |
| Vitta et al.7676 Vitta AD, Barros DS de, Palma R, Soares MVF, Conti MHSD, Gatti MAN, et al. Prevalência e fatores associados à adiposidade central e periférica em estudantesdo ensino fundamental brasileiro. J Hum Growth Dev 2013;23(3):365-71.
|
Bauru. SP (2009) |
< 2 hours/day |
43.1 |
41.9 |
44.5 |
| Farias Junior et al.5151 Farias Júnior, JC, Lopes A da S, Mota J, Hallal PC. Physical activity practice and associated factors in adolescents in Northeastern Brazil. Rev Saúde Pública 2012;46(3):505-15.
|
João Pessoa. PB (2009) |
< 2 hours/day |
Weekdays: 61.3
Weekend: 60.8 |
Weekdays: 54.4
Weekend: 53.2 |
Weekdays: 66.4
Weekend: 66.3 |
| Costa and Assis2020 Costa FF da, Assis MAA. Nível de atividade física e comportamentos sedentários de escolares de sete a dez anos de Florianópolis-SC. Rev Bras Ativ Fís Saúde 2011;16(1):48-54.
|
Florianópolis. SC (2002) |
< 2 hours/day |
Public school: 90.0
Private school: 96.0 |
Public school: 85.0
Private school: 92.0 |
Public school: 98.0
Private school: 94.0 |
| Farias et al.8383 Farias E dos S, Santos AP dos, Farias-Júnior JC de, Ferreira CRT, Carvalho WRG de, Gonçalves EM, et al. Excess weight and associated factors in adolescents. Rev Nutr 2012;25(2):229-36.
|
Rio Branco. AC (2009) |
< 2 hours/day |
39.1 |
n.a. |
n.a. |
| Vitta et al.8484 De Vitta A, Martinez MG, Piza NT, Simeão SF de AP, Ferreira NP. Prevalence of lower back pain and associated factors in students. Cad Saúde Pública 2011;27(8):1520-8.
|
Bauru. SP (2007) |
≤ 2 hours/day |
68.3 |
58.2 |
76.9 |
| Fermino et al.8585 Fermino RC, Rech CR, Hino AAF, Rodriguez Añez CR, Reis RS. Physicalactivity and associated factors in high-school adolescents in Southern Brazil. Rev Saude Publica 2010;44(6):986-95.
|
Curitiba. PR (2006) |
≤ 4 hours/day |
77.3 |
71.3 |
81.4 |
| Pelegrini et al.8787 Pelegrini A, Petroski EL. Inatividade física e sua associação com estado nutricional,insatisfação com a imagem corporal e comportamentos sedentários em adolescentesde escolas públicas. Rev Paul Pediatr 2009;27(4):366-73.
|
Florianopolis. SC (2007) |
< 2 hours/day |
82.5 |
83.7 |
82 |
| Silva et al.6161 Silva KS, da Silva Lopes A, Dumith SC, Garcia LMT, Bezerra J, Nahas MV. Changes in television viewing and computers/videogames use among highschool students in Southern Brazil between 2001 and 2011. Int J Public Health 2014;59(1):77-86.
|
Santa Catarina State
(2001 and 2011) |
< 2 hours/day |
2001: 62.1
2011: 39.4 |
2001: 58.9
2011: 34.4 |
2001: 64.6
2011: 43.1 |
| Lopes et al.6363 Lopes AS, Silva KS, Barbosa Filho VC, Bezerra J, de Oliveira ESA, Nahas MV. Trends in screen time on week and weekend days in a representative sample of Southern Brazil students. J Public Health 2014;36(4):608-14.
|
Santa Catarina State
(2001 and 2011) |
≤ 1 h |
|
2001
Weekdays: 30.2
Weekend: 13.2
2011
Weekdays: 52.0
Weekend: 29.8 |
2001
Weekdays: 28.8
Weekend:9.7
2011
Weekdays: 44.2
Weekend: 30.3 |
| Castro et al.5858 Castro IRR de, Cardoso LO, Engstrom EM, Levy RB, Monteiro CA. Vigilância de fatores de risco para doenças não transmissíveis entre adolescentes: a experiênciada cidade do Rio de Janeiro, Brasil. Cad Saúde Pública 2008;24(10):2279-88.
|
Rio de Janeiro. RJ (2003) |
< 4 hours/day |
89.4 |
82.8 |
95.2 |
| Detsch et al.9595 Detsch C, Luz AMH, Candotti CT, Oliveira DS de, Lazaron F, Guimarães LK, et al. Prevalência de alterações posturais em escolares do ensino médio em uma cidade no Sul do Brasil. Rev Panam Salud Pública 2007;21(4):231-8.
|
São Leopoldo. RS (2004) |
≤ 6 hours/week |
n.a. |
n.a. |
82.8 |
| Videogame |
|
|
|
|
|
Mielke et al.1111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.
Hallal et al..8989 Hallal PC, Bertoldi AD, Gonçalves H, Victora CG. Prevalence of sedentarylifestyle and associated factors in adolescents 10 to 12 years of age. Cad Saúde Pública 2006;22(6):1277-87.
Dumith et al.9090 Dumith SC, Hallal PC, Menezes AMB, Araújo CL. Sedentary behavior inadolescents: the 11-year follow-up of the 1993 Pelotas (Brazil) birth cohort study. Cad Saúde Pública 2010;26(10):1928-36.
|
Pelotas. RS (2004. 2008 and 2011)
2004-20058989 Hallal PC, Bertoldi AD, Gonçalves H, Victora CG. Prevalence of sedentarylifestyle and associated factors in adolescents 10 to 12 years of age. Cad Saúde Pública 2006;22(6):1277-87.,9090 Dumith SC, Hallal PC, Menezes AMB, Araújo CL. Sedentary behavior inadolescents: the 11-year follow-up of the 1993 Pelotas (Brazil) birth cohort study. Cad Saúde Pública 2010;26(10):1928-36.
|
< 2 hours/day1111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.
< 1 hour8989 Hallal PC, Bertoldi AD, Gonçalves H, Victora CG. Prevalence of sedentarylifestyle and associated factors in adolescents 10 to 12 years of age. Cad Saúde Pública 2006;22(6):1277-87.
Mean minutes/d9090 Dumith SC, Hallal PC, Menezes AMB, Araújo CL. Sedentary behavior inadolescents: the 11-year follow-up of the 1993 Pelotas (Brazil) birth cohort study. Cad Saúde Pública 2010;26(10):1928-36.
|
11 years 93.5
15 years 92.8
18 years 94.61111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.
90.38989 Hallal PC, Bertoldi AD, Gonçalves H, Victora CG. Prevalence of sedentarylifestyle and associated factors in adolescents 10 to 12 years of age. Cad Saúde Pública 2006;22(6):1277-87.
36 min/d9090 Dumith SC, Hallal PC, Menezes AMB, Araújo CL. Sedentary behavior inadolescents: the 11-year follow-up of the 1993 Pelotas (Brazil) birth cohort study. Cad Saúde Pública 2010;26(10):1928-36.
|
55 min/d9090 Dumith SC, Hallal PC, Menezes AMB, Araújo CL. Sedentary behavior inadolescents: the 11-year follow-up of the 1993 Pelotas (Brazil) birth cohort study. Cad Saúde Pública 2010;26(10):1928-36.
|
18min/d9090 Dumith SC, Hallal PC, Menezes AMB, Araújo CL. Sedentary behavior inadolescents: the 11-year follow-up of the 1993 Pelotas (Brazil) birth cohort study. Cad Saúde Pública 2010;26(10):1928-36.
|
| Lima et al.1212 De Lima TR, Silva DAS. Prevalence of physical activity among adolescents in southern Brazil. J Bodyw Mov Ther 2018;22(1):57-63.
|
São José. SC (2014) |
< 4 hours/day1212 De Lima TR, Silva DAS. Prevalence of physical activity among adolescents in southern Brazil. J Bodyw Mov Ther 2018;22(1):57-63.
|
84.6 |
|
|
Sousa and Silva2121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
Castro et al.2525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
São José. SC (2014) |
< 2 hours/day2121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.,2525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
72.02525 Castro JAC, Nunes HEG, Silva DAS, Castro JAC, Nunes HEG, Silva DAS. Prevalence of abdominal obesity in adolescents: association between sociodemographic factors and lifestyle. Rev Paul Pediatr 2016;34(3):343-51.
|
75.02121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
92.52121 Sousa GR, Silva DAS. Sedentary behavior based on screen time: prevalenceand associated sociodemographic factors in adolescents. Cien Saude Colet2017;22(12):4061-72.
|
| Silva et al. 3333 Silva AO da, Oliveira LMFT de, Santos MAM dos, Tassitano RM. Tempo de tela, percepção da qualidade de sono e episódios de parassonia em adolescentes. Rev Bras Med Esporte 2017;23(5):375-9.
|
Recife. PE (2011) |
Mean (hours/day) |
2.37 ± 2.50 |
3.25 ± 2.55 |
1.82 ± 2.30 |
| Santos et al.99 Santos A, Andaki ACR, Amorim PR dos S, Mendes EL. Factors associated with sedentary behavior in 9- to 12-year-old school children. Motriz: J Phys Ed 2013;19(3):25-34.
|
Uberaba. MG (2012) |
Median (minutes/day) |
n.a. |
Weekdays: 30
Weekend: 60 |
Weekdays: 0
Weekend: 0 |
| Vasconcelos et al.4747 Vasconcellos MB de, Anjos LA dos, Vasconcellos MTL. Estado nutricional e tempo de tela de escolares da Rede Pública de Ensino Fundamental de Niterói, Rio de Janeiro, Brasil. Cad Saúde Pública 2013;29(4):713-22.
|
Niterói. RJ (2010) |
Mean (hours/week) |
n.a. |
8.9 ± 1.0 |
2.1 ± 0.3 |
| Costa and Assis2020 Costa FF da, Assis MAA. Nível de atividade física e comportamentos sedentários de escolares de sete a dez anos de Florianópolis-SC. Rev Bras Ativ Fís Saúde 2011;16(1):48-54.
|
Florianópolis. SC (2002) |
< 2 hours/day |
Public school: 98.0
Private school: 93.0 |
Public school: 85.0
Private school: 92.0 |
Public school: 96.0
Private school: 100.0 |
| Pelegrini et al.8787 Pelegrini A, Petroski EL. Inatividade física e sua associação com estado nutricional,insatisfação com a imagem corporal e comportamentos sedentários em adolescentesde escolas públicas. Rev Paul Pediatr 2009;27(4):366-73.
|
Florianópolis.SC (2007) |
< 2 hours/day |
47.7 |
39.8 |
51.6 |
| Other Sedentary Behaviors |
| Mielke et al.1111 Mielke GI, Brown WJ, Ekelund U, Brage S, Gonçalves H, Wehrmeister FC, et al. Socioeconomic position and sedentary behavior in Brazilian adolescents: A life-course approach. Prev Med 2018;107(2):29-35.
|
Pelotas. RS (2004. 2008 and 2011) |
Mean (hours/day) |
11.5 (±1.5) |
|
|
| Regis et al.1313 Regis MF, de Oliveira LMFT, dos Santos ARM, Leonidio A da CR, DinizPRB, de Freitas CMSM. Urban versus rural lifestyle in adolescents: associations between environment, physical activity levels and sedentary behavior. Einstein 2016;14(4):461-7.
|
Recife. PE (2011) |
< 4 hours/day
(sitting down with no screen) |
85.4 |
|
|
Silva et al.9696 Silva FM de A, Smith-Menezes A, Duarte M de F da S. Consumption of fruits and vegetables associated with other risk behaviors among adolescents in NortheastBrazil. Rev Paul Pediatr 2016;34(3):309-15.
Silva et al.112112 Silva FMA, Smith-Menezes A. Sedentary behavior and associated factors inadolescents of northeastern Brazil. Sci Sports 2017;32(3):e93-100.
|
Aracaju-SE (2011) |
≤ 2 hours/day (sum of sitting time: TV viewing, videogame play, computer use, chatting with friends, play cards or domino) |
53.3 |
50.69696 Silva FM de A, Smith-Menezes A, Duarte M de F da S. Consumption of fruits and vegetables associated with other risk behaviors among adolescents in NortheastBrazil. Rev Paul Pediatr 2016;34(3):309-15.
57.5112112 Silva FMA, Smith-Menezes A. Sedentary behavior and associated factors inadolescents of northeastern Brazil. Sci Sports 2017;32(3):e93-100.
|
57.59696 Silva FM de A, Smith-Menezes A, Duarte M de F da S. Consumption of fruits and vegetables associated with other risk behaviors among adolescents in NortheastBrazil. Rev Paul Pediatr 2016;34(3):309-15.
50.6112112 Silva FMA, Smith-Menezes A. Sedentary behavior and associated factors inadolescents of northeastern Brazil. Sci Sports 2017;32(3):e93-100.
|
| Felden et al.113113 Felden ÉPG, Filipin D, Barbosa DG, Andrade RD, Meyer C, Louzada FM, et al. Factors associated with short sleep duration in adolescents. Rev Paul Pediatr 2016;34(1):64-70.
|
Maravilha. SC (n.a.) |
Mean minutes/day (sitting time) |
382.2 ± 234.1 |
352.1 ± 225.8 |
413.6 ± 238.9 |
| Alexandre et al.9797 Alexandre M, Silva AM, Coelho-Ravagnani C. Comportamento sedentário em adolescentes atendidos pela Estratégia de Saúde da Família em Cuiabá, Brasil. RevBras Ativ Fís Saúde 2016;21(4):344-54.
|
Cuiaba. MT (2011) |
≤ 2 hours/day (sum of sitting time: TV viewing, videogame play, computer use, chatting with friends, play cards or domino) |
45.1 |
n.a. |
n.a. |
| Barbosa et al.1515 Barbosa SC, Coledam DHC, Neto AS, Elias RGM, Oliveira AR de. Ambiente escolar, comportamento sedentário e atividade física em pré-escolares. Rev Paul Pediatr 2016;34(3):301-8.
|
Londrina. PR (2013) |
Mean minutes/week |
n.a. |
n.a. |
n.a. |
| Farah et al.9898 Farah BQ, Christofaro DGD, Balagopal PB, Cavalcante BR, Barros MVG de, Ritti-Dias RM. Association between resting heart rate and cardiovascular risk factors in adolescents. Eur J Pediatr 2015-;174(12):1621-8.
|
Pernambuco (2011) |
< 3 hours/day (sum of sitting time: TV viewing, videogame play, computer use, chatting with friends, play cards or domino) |
49.1 |
61.6 |
38.4 |
| Hildebrand et al.1616 Hildebrand M, Kolle E, Hansen BH, Collings PJ, Wijndaele K, Kordas K, et al. Association between birth weight and objectively measured sedentary time is mediated by central adiposity: data in 10,793 youth from the International Children’s Accelerometry Database. Am J Clin Nutr 2015;101(5):983-90.
|
Pelotas-RS (2006-2007) |
Mean minutes/day |
389.0 (±132.0) |
|
|
Ferreira et al.105105 Ferreira NL, Claro RM, Mingoti SA, Lopes ACS. Coexistence of risk behaviors for being overweight among Brazilian adolescents. Prev Med 2017;100(7):135-42.
Azeredo et al.9999 Azeredo CM, Levy RB, Peres MFT, Menezes PR, Araya R. Patterns of healthrelated behaviours among adolescents: a cross-sectional study based on the NationalSurvey of School Health Brazil 2012. BMJ Open 2016;6(11):e011571.
Rezende et al.114114 Rezende LFM, Azeredo CM, Canella DS, Claro RM, Castro IRR, Levy RB, et al. Sociodemographic and behavioral factors associated with physical activity in Brazilian adolescents. BMC Public Health 2014;14:485.
|
Brazil (2012) |
< 3 hours/day (sum of sitting time: TV viewing, video gameplay, computer use, chatting with friends, play cards or other sitting activities) |
38.0 |
40.9 |
35.4 |
| Guimarães et al.115115 Guimarães R de F, Silva MP da, Mazzardo O, Martins RV, Campos W de. Association between sedentary behavior and anthropometric and metabolic profiles among adolescents. Motriz: J Phys Ed 2013;19(4):753-62.
|
Curitiba. PR (2011) |
Median (minimum – maximum in minutes) (sum of time in sedentary activities: electronics, educational, transportation, cultural, social) |
n.a. |
12-13.9 years:
4800 (1590-12055)
14-15.9 years:
5215 (2224-8235)
16-17.9 years:
5458 (1336-8880) |
12-13.9 years:
5305 (1940-10050)
14-15.9 years:
5065 (1605-10050)
16-17.9 years:
5135 (1785-9424) |
| Guedes and Souza1717 Guedes DP, Souza MV, Ferreirinha JE, Silva AJRM. Physical activity and determinants of sedentary behavior in Brazilian adolescents from an underdeveloped region. Percept Mot Skills 2012;114(2):542-52.
|
João Pessoa. PB (2008) |
Median Sitting (min./week)
(time spent studying, working, relaxing, leisure, domestic activities) |
n.a. |
15 years: 2380
16 years: 2730
17 years: 3500
18 years: 4620 |
15 years: 3360
16 years: 4200
17 years: 5250
18 years: 6790 |
