Bezerra et al. (2018)88 de Assunção Bezerra MK, Freese de Carvalho E, Souza Oliveira J, Pessoa Cesse EÂ, Cabral de Lira PI, Galvão Tenório Cavalcante J, et al. Health promotion initiatives at school related to overweight, insulin resistance, hypertension and dyslipidemia in adolescents: a cross-sectional study in Recife, Brazil. BMC Public Health 2018;18(1):1-12. PMid:29415700. |
Recife, PE |
2400 (46.4% girls) |
12 to 17 |
- |
- |
17.0 |
- |
- |
9.6 |
- |
- |
26.6 |
WHO |
Poisson regression |
Borges et al. (2018)99 Borges CA, Marchioni DML, Levy RB, Slater B. Dietary patterns associated with overweight among Brazilian adolescents. Appetite 2018;123:402-9. http://dx.doi.org/10.1016/j.appet.2018.01.001. PMid:29355584. http://dx.doi.org/10.1016/j.appet.2018.0...
|
Family Budget Research (POF- Brasil) |
6784 (50.4% girls) |
10 to 18 |
- |
- |
17.7 |
- |
- |
4.6 |
- |
- |
22.3 |
IOTF |
Logistic regression |
Chaput et al. (2018)1010 Chaput JP, Barnes JD, Tremblay MS, Fogelholm M, Hu G, Lambert EV, et al. Thresholds of physical activity associated with obesity by level of sedentary behaviour in children. Pediatr Obes 2018;13(7):450-7. http://dx.doi.org/10.1111/ijpo.12276. PMid:29573239. http://dx.doi.org/10.1111/ijpo.12276...
|
São Paulo, SP |
484 (51% girls) |
09 to 11 |
- |
- |
- |
- |
- |
21.7 |
- |
- |
- |
WHO |
- |
Cnop et al. (2018)1111 Cnop MLD, Monteiro LS, Rodrigues PRM, Estima CCP, Veiga GVD, Pereira RA. Meal habits and anthropometric indicators in adolescents from public and private schools of the metropolitan region of Rio de Janeiro. Rev Nutr 2018;31(1):35-47. http://dx.doi.org/10.1590/1678-98652018000100004. http://dx.doi.org/10.1590/1678-986520180...
|
Rio de Janeiro, RJ |
1749 (49.9% girls) |
10 to 19 |
- |
- |
21.0 |
- |
- |
14.8 |
- |
- |
35.8 |
WHO |
- |
Conde et al. (2018)1212 Conde WL, Mazzeti CMDS, Silva JC, Santos IKSD, Santos AMDR. Estado nutricional de escolares adolescentes no Brasil: a Pesquisa Nacional de Saúde dos Escolares 2015. Rev Bras Epidemiol 2018;21(Suppl 1):e180008. http://dx.doi.org/10.1590/1980-549720180008.supl.1. PMid:30517459. http://dx.doi.org/10.1590/1980-549720180...
|
National School Health Survey (PeNSE-Brasil) |
|
|
|
|
|
|
|
|
21.4 |
22.9 |
22.2 |
IOTF |
- |
Corrêa et al. (2018)1313 Corrêa EN, Rossi CE, das Neves J, Silva DAS, de Vasconcelos FAG. Utilization and environmental availability of food outlets and overweight/obesity among schoolchildren in a city in the south of Brazil. J Public Health 2018;40(1):106-13. http://dx.doi.org/10.1093/pubmed/fdx017. PMid:28334847. http://dx.doi.org/10.1093/pubmed/fdx017...
|
Florianópolis, SC |
2195 (47.8% girls) |
07 to 14 |
|
|
|
|
|
|
37.6 |
29.0 |
33.5 |
WHO |
Logistic regression |
Cureau et al. (2018)1414 Cureau FV, Sparrenberger K, Bloch KV, Ekelund U, Schaan BD. Associations of multiple unhealthy lifestyle behaviors with overweight/obesity and abdominal obesity among Brazilian adolescents: a country-wide survey. Nutr Metab Cardiovasc Dis 2018;28(7):765-74. http://dx.doi.org/10.1016/j.numecd.2018.04.012. PMid:29843935. http://dx.doi.org/10.1016/j.numecd.2018....
|
Study of Cardiovascular Risks in Adolescents (ERICA-Brasil) |
62063 (54.9% girls) |
12 to 17 |
|
|
|
|
|
|
|
|
25.8 |
WHO |
Poisson regression |
Dumith et al. (2018)1515 Dumith SC, Muraro MDFR, Monteiro AR, Machado KP, Dias M, Oliz MM, et al. Propriedades diagnósticas e pontos de corte para predição de excesso de peso por indicadores antropométricos em adolescentes de Caracol, Piauí, 2011. Epidemiol Serv Saude 2018;27(1):e201715013. http://dx.doi.org/10.5123/S1679-49742018000100013. PMid:29451609. http://dx.doi.org/10.5123/S1679-49742018...
|
Caracol, PI |
1075 (52.4% girls) |
13 to 19 |
- |
- |
- |
- |
- |
- |
9.2 |
11.0 |
10.1 |
WHO |
- |
Fradkin et al. (2018)1616 Fradkin C, Valentini NC, Nobre GC, Dos Santos JO. Obesity and overweight among Brazilian early adolescents: Variability across region, socioeconomic status, and gender. Front Pediatr 2018;6:81. http://dx.doi.org/10.3389/fped.2018.00081. PMid:29682495. http://dx.doi.org/10.3389/fped.2018.0008...
|
AM, CE, RS and SC |
1738 (51% girls) |
|
9.9 |
12.9 |
- |
9.1 |
6.0 |
- |
19.0 |
18.9 |
- |
CDC |
Logistic regression |
Jardim et al. (2018)1717 Jardim TV, Gaziano TA, Nascente FM, Carneiro CDS, Morais P, Roriz V, et al. Multiple cardiovascular risk factors in adolescents from a middle-income country: Prevalence and associated factors. PLoS One 2018;13(7):e0200075. http://dx.doi.org/10.1371/journal.pone.0200075. PMid:29975756. http://dx.doi.org/10.1371/journal.pone.0...
|
Goiânia, GO |
1169 (53.1% girls) |
12 to 17 |
- |
- |
- |
- |
- |
- |
29.0 |
18.2 |
23.3 |
WHO |
- |
Leal et al. (2018)1818 Leal DB, Assis MAAD, Conde WL, Lobo AS, Bellisle F, Andrade DFD. Individual characteristics and public or private schools predict the body mass index of Brazilian children: a multilevel analysis. Cad Saude Publica 2018;34(5):e00053117. http://dx.doi.org/10.1590/0102-311x00053117. PMid:29846407. http://dx.doi.org/10.1590/0102-311x00053...
|
Florianópolis, SC |
1232 (49.3% girls) |
07 to 10 |
- |
- |
- |
- |
- |
- |
- |
- |
34.4 |
WHO |
Multilevel linear regression |
Martini et al. (2020)1919 Martini MCS, Assumpção DD, Barros MBDA, Barros ADA Fo. Insatisfação com o peso corporal e estado nutricional de adolescentes: estudo de base populacional no município de Campinas, São Paulo, Brasil. Cien Saude Colet 2020;25(3):967-75. PMid:32159666. |
Campinas, SP |
822 (49.4% girls) |
10 to 19 |
17.1 |
15.3 |
16.2 |
13.3 |
6.9 |
10.2 |
30.4 |
22.2 |
26.4 |
WHO |
Chi-squared |
Murphy et al. (2018)2020 Murphy R, Stewart AW, Hancox RJ, Wall CR, Braithwaite I, Beasley R, et al. Obesity, underweight and BMI distribution characteristics of children by gross national income and income inequality: Results from an international survey. Obes Sci Pract 2018;4(3):216-28. PMid:29951212. |
Brasil (ISAAC) |
Nationally representative data |
13 to 14 |
11.7 |
11.3 |
- |
2.4 |
1.6 |
- |
14.1 |
12.9 |
- |
IOTF |
- |
Pereira et al. (2018)2121 Pereira JL, Vieira DAS, Alves MCGP, César CLG, Goldbaum M, Fisberg RM. Excess body weight in the city of São Paulo: panorama from 2003 to 2015, associated factors and projection for the next years. BMC Public Health 2018;18(1):1332. http://dx.doi.org/10.1186/s12889-018-6225-8. PMid:30509223. http://dx.doi.org/10.1186/s12889-018-622...
|
São Paulo, SP |
822 (53% girls) |
12 to 19 |
- |
- |
19.5 |
- |
- |
9.3 |
- |
- |
28.8 |
WHO |
- |
Pereira et al. (2018)2222 Pereira JL, Félix PV, Mattei J, Fisberg RM. Differences over 12 years in food portion size and association with excess body weight in the city of São Paulo, Brazil. Nutrients 2018;10(6):696. http://dx.doi.org/10.3390/nu10060696. PMid:29848971. http://dx.doi.org/10.3390/nu10060696...
|
São Paulo, SP |
377 |
12 to 19 |
- |
- |
- |
- |
- |
- |
- |
- |
29.4 |
WHO |
- |
Previato and Behrens (2018)2323 Previato HDRA, Behrens JH. Nutritional status and food pattern of adolescents. Nutr Food Sci 2018;48(5):846-55. http://dx.doi.org/10.1108/NFS-05-2018-0130. http://dx.doi.org/10.1108/NFS-05-2018-01...
|
Minas Gerais |
132 (51% girls) |
15 to 19 |
7.7 |
13.4 |
10.6 |
9.3 |
6.0 |
7.6 |
17.0 |
19.4 |
18.2 |
WHO |
- |
Reuter et al. (2018)2424 Reuter CP, de Mello ED, da Silva PT, Borges TS, Klinger EI, Franke SIR, et al. Overweight and obesity in schoolchildren: Hierarchical analysis of associated demographic, behavioral, and biological factors. J Obes 2018;2018:1-6. http://dx.doi.org/10.1155/2018/6128034. PMid:30254759. http://dx.doi.org/10.1155/2018/6128034...
|
Santa Cruz do Sul, RS |
381 (50.4% girls) |
07 to 17 |
- |
- |
- |
- |
- |
- |
- |
- |
35.7 |
WHO |
Poisson regression |
Rossi et al. (2018)2525 Rossi CE, Correa EN, Neves JD, Gabriel CG, Benedet J, Rech CR, et al. Body mass index and association with use of and distance from places for physical activity and active leisure among schoolchildren in Brazil. Cross-sectional study. Sao Paulo Med J 2018;136(3):228-36. http://dx.doi.org/10.1590/1516-3180.2017.0347020118. PMid:29924287. http://dx.doi.org/10.1590/1516-3180.2017...
|
Florianópolis, SC |
2484 |
07 to 14 |
- |
- |
- |
- |
- |
- |
21.5 |
12.7 |
34.2 |
WHO |
Multivariate linear regression |
Silva and Hasselmann (2018)2626 Silva AMVLD, Hasselmann MH. Associação entre maus-tratos familiares e excesso de peso e de gordura em escolares do município do Rio de Janeiro/RJ, Brasil. Cien Saude Colet 2018;23(12):4129-42. http://dx.doi.org/10.1590/1413-812320182312.28032016. PMid:30539997. http://dx.doi.org/10.1590/1413-812320182...
|
Rio de Janeiro, RJ |
1594 (56.2 girls) |
13 to 19 |
- |
- |
- |
- |
- |
- |
16.5 |
18.6 |
17.7 |
WHO |
Logistic regression |
Silva Filho and Ybargollin (2019)2727 Silva JN Fo, Ybargollin MA. Prevalencia de sobrepeso y obesidad en estudiantes de una ciudad de la región sureste del Brasil. Rev Cuba Med Mil 2019;48(4):752-63. |
Paraguaçu Paulista, SP |
263 (44.1% girls) |
10 to 15 |
19.7 |
27.6 |
- |
9.5 |
15.5 |
- |
29.2 |
43.1 |
- |
Conde and Monteiro |
- |
Andrade et al. (2019)2828 Andrade VMB, de Santana MLP, Fukutani KF, Queiroz ATL, Arriaga MB, Conceição-Machado MEP, et al. Multidimensional analysis of food consumption reveals a unique dietary profile associated with overweight and obesity in adolescents. Nutrients 2019;11(8):1946. http://dx.doi.org/10.3390/nu11081946. PMid:31430906. http://dx.doi.org/10.3390/nu11081946...
|
Salvador, BA |
1496 (57.1% girls) |
11 to 17 |
9.2 |
8.6 |
8.8 |
7.0 |
5.1 |
5.9 |
16.2 |
13.7 |
14.7 |
WHO |
Chi-squared |
Assis et al. (2019)2929 Assis MM, Leite MA, Carmo AS, Andrade ACS, Pessoa MC, Pereira M No, et al. Food environment, social deprivation and obesity among students from Brazilian public schools. Public Health Nutr 2019;22(11):1920-7. http://dx.doi.org/10.1017/S136898001800112X. PMid:29747717. http://dx.doi.org/10.1017/S1368980018001...
|
Juiz de Fora, MG |
661 (51.7% girls) |
07 to 14 |
- |
- |
- |
14.7 |
13.2 |
13.9 |
- |
- |
- |
WHO |
Logistic regression |
Barbosa et al. (2019)3030 Barbosa IA, Lopes JR, Dangelo MFSV, Pinho LD, Brito MFSF, Barbosa DA. Prevalence and factors associated with excess body weight in adolescents. Acta Paul Enferm 2019;32(5):485-92. http://dx.doi.org/10.1590/1982-0194201900068. http://dx.doi.org/10.1590/1982-019420190...
|
Montes Claros, MG |
635 (60.9% girls) |
10 to 16 |
- |
- |
- |
- |
- |
- |
27.8 |
35.0 |
32.8 |
WHO |
Poisson regression |
Barbosa et al. (2019)3131 Barbosa LMA, Arruda IKG, Canuto R, Lira PIC, Monteiro JS, Freitas DL, et al. Prevalence and factors associated with excess weight in adolescents in a low-income neighborhood - Northeast, Brazil. Rev Bras Saúde Mater Infant 2019;19(3):661-70. http://dx.doi.org/10.1590/1806-93042019000300010. http://dx.doi.org/10.1590/1806-930420190...
|
Recife, PE |
225 (56.4% girls) |
10 to 19 |
15.3 |
24.4 |
20.4 |
13.3 |
18.1 |
16.0 |
28.6 |
42.5 |
36.4 |
WHO |
Logistic regression |
Dalmaso et al. (2019)3232 Dalmaso SB, Sant’ana PG, Cordeiro JP, Rodrigues AL, Ferreira LG, Leopoldo AS, et al. Prevalence of overweight and obesity in elementary school students of Vitória, ES. O Mundo da Saúde 2019;43(1):61-82. |
Vitória, ES |
572 (54.2% girls) |
07 to 14 |
20.6 |
21.0 |
20.8 |
6.5 |
7.7 |
7.2 |
27.1 |
28.7 |
28.0 |
IOTF |
- |
Fávaro et al. (2019)3333 Fávaro TR, Ferreira AA, Cunha GMD, Coimbra CE Jr. Excesso de peso em crianças indígenas Xukuru do Ororubá, Pernambuco, Brasil: magnitude e fatores associados. Cad Saude Publica 2019;35(35, Suppl 3):e00056619. http://dx.doi.org/10.1590/0102-311x00056619. PMid:31433030. http://dx.doi.org/10.1590/0102-311x00056...
|
Pesqueira, PE |
139 |
07 to 09 |
- |
- |
- |
- |
- |
- |
- |
- |
2.9 |
WHO |
- |
Francesquet. (2019)3434 Francesquet M, Silva PTD, Schneiders LDB, Silveira JFDCD, Soares SS, Tornquist D, et al. Youth overweight/obesity and its relationship with cardiovascular disease and parental risk factors. Arch Endocrinol Metab 2019;63(4):411-6. http://dx.doi.org/10.20945/2359-3997000000156. PMid:31365629. http://dx.doi.org/10.20945/2359-39970000...
|
Santa Cruz do Sul, RS |
1243 (54.7% girls) |
07 to 17 |
- |
- |
- |
- |
- |
- |
- |
- |
29.1 |
CDC |
Logistic regression |
Gonçalves et al. (2019)3535 Gonçalves VS, Duarte EC, Dutra ES, Barufaldi LA, Carvalho KM. Characteristics of the school food environment associated with hypertension and obesity in Brazilian adolescents: a multilevel analysis of the Study of Cardiovascular Risks in Adolescents (ERICA). Public Health Nutr 2019;22(14):2625-34. http://dx.doi.org/10.1017/S1368980019001010. PMid:31112113. http://dx.doi.org/10.1017/S1368980019001...
|
Brazil (ERICA) |
73399 (49.8% girls) |
12 to 17 |
- |
- |
- |
9.1 |
7.6 |
8.4 |
- |
- |
- |
WHO |
Logistic regression |
Guimarães et al. (2019)3636 Guimarães RF, Silva MPD, Mazzardo O, Martins RV, Watanabe PI, Campos WD. Metabolic risk factors clustering among adolescents: a comparison between sex, age and socioeconomic status. Cien Saude Colet 2019;24(2):545-52. http://dx.doi.org/10.1590/1413-81232018242.01352017. PMid:30726386. http://dx.doi.org/10.1590/1413-812320182...
|
Curitiba, PR |
997 (57% girls) |
12 to 17 |
21.0 |
17.5 |
19.0 |
8.2 |
8.5 |
8.4 |
29.2 |
26.0 |
27.4 |
WHO |
- |
Lamarão et al. (2019)3737 Lamarão SKM, Alberto ÁAD, Carvalho AP, Assis DFO, Moreira DC. Prevalência de excesso de peso em adolescentes de escolas quilombolas e os fatores associados. RBONE 2019;13(81):750-8. |
Macapá, AM |
306 (48.7% girls) |
10 to 19 |
6.2 |
6.9 |
- |
2.6 |
3.6 |
- |
8.8 |
10.5 |
- |
WHO |
Logistic regression |
Leal et al. (2019)3838 Leal MABF, Paiva SSC, Sousa SSL, Lima CEB, Silva ARV, Nascimento FF, et al. Fatores sociodemográficos e comportamentais associados ao excesso de peso em adolescentes brasileiros-2015. Adolesc Saude 2019;16(2):16-26. |
Brasil (PeNSE) |
10926 |
13 to 17 |
- |
- |
- |
- |
- |
- |
23.7 |
23.8 |
23.7 |
WHO |
Logistic regression |
Li et al. (2019)3939 Li N, Zhao P, Diao C, Qiao Y, Katzmarzyk PT, Chaput JP, et al. Joint associations between weekday and weekend physical activity or sedentary time and childhood obesity. Int J Obes (Lond) 2019;43(4):691-700. http://dx.doi.org/10.1038/s41366-019-0329-9. PMid:30705394. http://dx.doi.org/10.1038/s41366-019-032...
|
São Paulo, SP |
435 (51.5% girls) |
09 to 11 |
- |
- |
- |
- |
- |
21.8 |
- |
- |
- |
WHO |
Logistic regression |
Neves et al. (2019)4040 Neves FS, Fontes VS, Pereira PML, Lombelo-Campos AA, Batista AP, Machado-Coelho GLL, et al. Estudo EVA-JF: aspectos metodológicos, características gerais da amostra e potencialidades de uma pesquisa sobre o estilo de vida de adolescentes brasileiros. Adolesc Saude 2019;16(4):113-29. |
Juiz de Fora, MG |
480 (57.5% girls) |
14 to 19 |
- |
- |
18.6 |
- |
- |
9.5 |
- |
- |
28.1 |
WHO |
- |
Oliveira et al. (2019)4141 Oliveira G, Silva TLND, Silva IBD, Coutinho ESF, Bloch KV, Oliveira ERAD. Agregação dos fatores de risco cardiovascular: álcool, fumo, excesso de peso e sono de curta duração em adolescentes do estudo ERICA. Cad Saude Publica 2019;35(12):e00223318. http://dx.doi.org/10.1590/0102-311x00223318. PMid:31800793. http://dx.doi.org/10.1590/0102-311x00223...
|
Study of Cardiovascular Risks in Adolescents (ERICA-Brasil) |
73624 (55.4% girls) |
12 to 17 |
- |
- |
- |
- |
- |
- |
25.7 |
25.3 |
25.5 |
WHO |
- |
Pereira et al. (2019)4242 Pereira LR, Moreira FP, Reyes AN, Bach SDL, Amaral PLD, Motta JDS, et al. Biological rhythm disruption associated with obesity in school children. Child Obes 2019;15(3):200-5. http://dx.doi.org/10.1089/chi.2018.0212. PMid:30694701. http://dx.doi.org/10.1089/chi.2018.0212...
|
Pelotas, RS |
596 (48.2% girls) |
07 to 08 |
- |
- |
- |
28.9 |
19.4 |
24.0 |
- |
- |
- |
WHO |
Multiple linear regression |
Rossi et al. (2019)4343 Rossi CE, Costa LDCF, Machado MS, Andrade DF, Vasconcelos FDAG. Fatores associados ao consumo alimentar na escola e ao sobrepeso/obesidade de escolares de 7-10 años de Santa Catarina, Brasil. Cien Saude Colet 2019;24(2):443-54. http://dx.doi.org/10.1590/1413-81232018242.34942016. PMid:30726377. http://dx.doi.org/10.1590/1413-812320182...
|
Criciúma, Florianópolis, Joinville, Blumenau, Jaraguá do Sul, Lages, Chapecó and Joaçaba, SC |
3930 (52% girls) |
07 to 10 |
- |
- |
- |
- |
- |
- |
- |
- |
20.9 |
IOTF |
Logistic regression |
Rossi et al. (2019)4444 Rossi CE, Patrícia de Fragas H, Corrêa EN, das Neves J, de Vasconcelos FAG. Association between food, physical activity, and social assistance environments and the body mass index of schoolchildren from different socioeconomic strata. J Public Health (Oxf) 2019;41(1):e25-34. http://dx.doi.org/10.1093/pubmed/fdy086. PMid:29846685. http://dx.doi.org/10.1093/pubmed/fdy086...
|
Florianópolis, SC |
2484 (56.5% girls) |
07 to 14 |
- |
- |
21.5 |
- |
- |
12.7 |
- |
- |
34.2 |
WHO |
Multivariate linear regression |
Santos et al. (2019)4545 Santos PCD, Silva KSD, Silva JAD, Santos CESD, Duca GFD, Lopes ADS, et al. Change in overweight and obesity over a decade according to sociodemographic factors in Brazilian adolescents. Cien Saude Colet 2019;24(9):3335-44. http://dx.doi.org/10.1590/1413-81232018249.29052017. PMid:31508754. http://dx.doi.org/10.1590/1413-812320182...
|
Santa Catarina |
6366 |
15 to 19 |
19.0 |
13.3 |
15.7 |
4.7 |
3.1 |
3.8 |
23.7 |
16.4 |
19.5 |
WHO |
- |
Santos et al. (2019)4646 Santos NFD, Lira PICD, Tavares FCDLP, Leal VDS, Oliveira JS, Pessoa JT, et al. Overweight in adolescents: food insecurity and multifactoriality in semiarid regions of pernambuco. Rev Paul Pediatr 2019;38:e2018177. http://dx.doi.org/10.1590/1984-0462/2020/38/2018177. PMid:31778411. http://dx.doi.org/10.1590/1984-0462/2020...
|
Hinterland and Agreste (dry region) of PE |
179 (67% girls) |
10 to 19 |
6.8 |
16.7 |
13.4 |
10.2 |
5.0 |
6.7 |
17.0 |
21.7 |
20.1 |
WHO |
Poisson regression |
Soria et al. (2019)4747 Soria L, Teixeira DDS, Polesel DN, Fernandes MT. Evaluation of predictive measurements of excess weight in brazilian children. Rev Assoc Med Bras 2019;65(5):663-8. http://dx.doi.org/10.1590/1806-9282.65.5.663. PMid:31166443. http://dx.doi.org/10.1590/1806-9282.65.5...
|
Acreúna, GO |
72 |
10 to 15 |
- |
- |
22.2 |
- |
- |
18.1 |
- |
- |
40.3 |
WHO |
- |