Pozzaet al.44 Pozza FS, Nucci LB, Enes CC. Identifying Overweight and Obesity in Brazilian Schoolchildren. J Public Health Manag Pract 2018;24(3):204-10.
|
6.829 |
49.7 |
0.5 |
15 |
17.5 |
16.8 |
18.2 |
12.9 |
14.4 |
11.4 |
30.4 |
31.2 |
29.6 |
WHO |
Southeastern |
School |
Santos et al.2121 Santos FK, Moura dos Santos MA, Almeida MB, Nobre IG, Nobre GG, Ferreira e Silva WT, et al. Biological and behavioral correlates of body weight status amongrural Northeast Brazilian schoolchildren. Am J Hum Biol 2018; 30(3):e23096.
|
501 |
50.5 |
7 |
10 |
15.2 |
12.6 |
17.7 |
8.8 |
9.9 |
7.7 |
24 |
22.5 |
25.4 |
COLE |
Northeastern |
School |
Almeida et al.2222 Almeida IO, Navarro F. Caracterização do estado nutricional, atividade física e alimentação de escolares entre 9 e 10 anos da rede pública de ensino de Coimbra-MG. Rev Bras Nutri Esport 2017;11(63):327-38.
|
62 |
53 |
9 |
10 |
15.5 |
21 |
10 |
10 |
6 |
14 |
25.5 |
27 |
24 |
WHO |
Southeastern |
School |
Anjos et al.2323 Anjos LAD, Silveira WDBD. Estado nutricional dos alunos da Rede Nacional de Ensino de Educação Infantil e Fundamental do Serviço Social do Comércio (Sesc), Brasil, 2012. Cien Saude Colet 2017; 22(5):1725-34.
|
20.113 |
50.3 |
3 |
17 |
17.6 |
17.6 |
17.5 |
12.4 |
14.7 |
10.1 |
30.0 |
32.3 |
27.6 |
WHO |
Allgroups |
School |
Anzolinet al.2424 Anzolin CC, Silva DAS, Zanuto EF, Cayres SU, Codogno JS, Junior PC, et al. Accuracy of different cutoff points of body mass index to identify overweight according to body fat values estimated by DEXA. J Pediatr 2017;93(1):58-63.
|
229 |
100 |
10 |
15 |
25.8 |
- |
- |
- |
- |
- |
- |
- |
- |
WHO |
Southeastern |
Project |
Araújo et al.1515 Araujo AMD, Brandão SAD M, Araújo MADM, Frota KDMG, Moreira-AraujoRSDR. Overweight and obesity in preschoolers: Prevalence and relation to food consumption. Rev Assoc Med Bras 2017;63(2):124-33.
|
548 |
52 |
2 |
5 |
4.2 |
4 |
4 |
- |
- |
- |
4.2 |
4 |
4 |
WHO |
Northeastern |
School |
Carneiro et al.2525 Carneiro CDS, Peixoto MDRG, Mendonça KL, Póvoa TIR, Nascente FMN, Jardim TDSV, et al. Overweight and associated factors in adolescents from abrazilian capital. Rev Bras Epidemiol 2017;20(2):260-73.
|
1.169 |
46.9 |
12 |
18 |
14.1 |
- |
- |
7.1 |
- |
- |
21.2 |
26.3 |
16.8 |
WHO |
Midwest |
School |
Ferrari et al.1717 Ferrari GLM, Matsudo V, Katzmarzyk PT, Fisberg M. Prevalence and factors associated with body mass index in children aged 9-11 years. J Pediatr 2017;93(6):601-9.
|
328 |
49.1 |
9 |
11 |
23.8 |
- |
- |
28 |
- |
- |
51.8 |
50.3 |
53.4 |
WHO |
Southeastern |
School |
Gonsalezet al.2626 Gonsalez PS, Retondario A, Bricarello LP, González-Chica DA, Silva DAS, Vasconcelos FDAGD. Exclusive breastfeeding, complementary feeding andassociation with body fat excess among schoolchildren in Florianópolis, Santa Catarina, Brazil. Rev Bras Saúde Mater Infant 2017;17(1):115-25.
|
1.531 |
44.9 |
7 |
10 |
28.5 |
- |
- |
14.1 |
- |
- |
42.6 |
- |
- |
WHO |
Southern |
School |
Lira et al.1010 Lira MCS, De Menezes RCE, Longo-Silva G, Oliveira MAA, Oliveira JS, CostaEC, et al.. Estado nutricional de crianças segundo critérios do SISVAN em municípios do estado de Alagoas. Mundo Saúde 2017;41(1):68-76.
|
20.755 |
- |
0.5 |
5 |
9.7 |
- |
- |
9.3 |
- |
- |
19 |
- |
- |
WHO |
Northeastern |
School |
Melo et al.2727 Melo ISV, Costa CACB, dos Santos JVL, dos Santos AF, Florêncio TMDMT, Bueno NB,. Consumption of minimally processed food is inversely associatedwith excess weight in adolescents living in an underdeveloped city. PloS One2017;12(11): e0188401.
|
249 |
44.2 |
14 |
19 |
- |
- |
- |
- |
- |
- |
24.1 |
- |
- |
WHO |
Northeastern |
School |
Neves et al.2828 Neves JCDJ, Souza AKVD, Fujisawa DS. Controle postural e atividade física em crianças eutróficas, com sobrepeso e obesas. Rev Bras Med Esport 2017; 23(3):241-5.
|
346 |
48 |
8 |
8 |
19.9 |
- |
- |
20.8 |
- |
- |
40.7 |
- |
- |
WHO |
Southern |
School |
Pedrazaet al.2929 Pedraza DF, Silva FA, Melo NLSD, Araujo EMN, Sousa CPDC. Estado nutricional e hábitos alimentares de escolares de Campina Grande, Paraíba, Brasil. Cien Saude Colet 2017;22(2):469-77.
|
1.081 |
49.9 |
5 |
10 |
12.3 |
- |
- |
9.2 |
- |
- |
21.5 |
- |
- |
WHO |
Northeastern |
School |
Ripkaet al.3030 Ripka WL, Ulbricht L, Gewehr PM. Body composition and prediction equations using skinfold thickness for body fat percentage in Southern Brazilian adolescents. PloS One 2017;12(9):e0184854.
|
374 |
100 |
12 |
17 |
20.3 |
- |
- |
5.6 |
- |
- |
25.9 |
- |
- |
WHO |
Southern |
School |
Santos et al.3131 Santos JP, dos Santos Farias E,. Fatores associados ao excesso de peso: estudo de baseescolar ao norte do Brasil. Rev Bras Obes Nutri Emagrecimento 2017;11(64):240-9.
|
820 |
51.2 |
9 |
18 |
19.2 |
- |
- |
7.8 |
- |
- |
27 |
- |
- |
CDC |
Northeastern |
School |
Silva et al.55 Silva DAS, Martins PC, Gonçalves ECDA,. Comparison of three criteria for overweight and obesity classification among adolescents from southern Brazil. Motriz: J Phys Ed 2017;23(4):e1017118.
|
1.132 |
46 |
14 |
19 |
33.4 |
17.7 |
16.3 |
12.7 |
5.2 |
7.5 |
46.1 |
22.9 |
23.8 |
WHO |
Southern |
School |
Almeida et al.66 Almeida PCD, da Silva JP, Carreiro Pinasco G, Cruz Hegner C, Cabrini Mattos D, Oliveira Potratz, et al. Perfil lipídico em escolares de Vitória-Brasil. J Hum Growth Dev 2016; 26(1): 61-6.
|
511 |
46.8 |
7 |
9 |
13.9 |
- |
- |
24.6 |
- |
- |
38.5 |
- |
- |
WHO |
Southeastern |
School |
Araujoet al.1919 Araujo DS, Marquezin MCS, Barbosa TS, Fonseca FLA, Fegadolli C, Castelo PM. Assessment of quality of life, anxiety, socio‐economic factors and cariesexperience in Brazilian children with overweight and obesity. Int J Dent Hyg 2016;15(4):e156-62.
|
313 |
44.3 |
8 |
10 |
21.7 |
17.8 |
24.7 |
17.5 |
16.1 |
14.9 |
39.2 |
33.9 |
39.6 |
WHO |
Southeastern |
School |
Barbosa Filho et al.3232 Barbosa Filho VC, Campos WD, Fagundes RR, Lopes ADS, Souza EAD. Presença isolada e combinada de indicadores antropométricos elevados emcrianças: prevalência e fatores sociodemográficos associados. Cien Saude Colet 2016;21(1):213-24.
|
2.035 |
49.9 |
6 |
11 |
- |
- |
- |
- |
- |
- |
9.4 |
11.4 |
7.5 |
WHO |
Southern |
School |
Bloch et al.3333 Bloch KV, Klein CH, Szklo M, Kuschnir MCC, Abreu GA, Barufaldi LA, et al. ERICA: prevalências de hipertensão arterial e obesidade em adolescentes brasileiros. Rev Saúde Pública 2016;50(1):9s.
|
73.399 |
44.6 |
12 |
17 |
17.1 |
16.6 |
17.6 |
8.4 |
9.2 |
7.6 |
25.5 |
25.8 |
25.2 |
WHO |
Allregions |
School |
Bruscatoet al.3434 NM, Pitrez Filho MS, Romor Vargas LT, Hauschild JÁ, Baldisserotto M, Sanseverino R, et al. A prevalência de obesidade na infância e adolescência é maior em escolas públicas no sul do Brasil. Nutr Clin Diet Hospitaria 2016;36(4):59-64.
|
2.150 |
48 |
6 |
18 |
- |
- |
- |
- |
- |
- |
21 |
- |
- |
WHO |
Southern |
School |
Cavalcantiet al.3535 Cavalcanti AL, Ramos IA, Cardoso AM, Fernandes LHF, Aragão AS, Santos FG, et al. Association between Periodontal Condition and Nutritional Status of Brazilian Adolescents: A Population-based Study. Iran J Public Health 2016;45(12):1586.
|
559 |
41 |
15 |
19 |
11.8 |
- |
- |
6.8 |
- |
- |
18.6 |
- |
- |
CDC |
Northeastern |
School |
Farias Júnior et al.3636 Farias Júnior JCD, Mendonça G. Temporal trend in overweight among adolescentsin northeastern Brazil. Arch Endocrinol Metab 2016;60(1):21-28.
|
2.776 |
42.1 |
14 |
18 |
13.1 |
- |
- |
- |
- |
- |
13.1 |
18.4 |
9.2 |
COLE |
Northeastern |
School |
Ferrari et al.1818 Ferrari GLDM, Matsudo V, Barreira TV, Tudor-Locke C, Katzmarzyk PT, Fisberg M. Correlates of moderate-to-vigorous physical activity in Brazilian children. J Phys Act Health 2016;13(10):1132-45.
|
328 |
48.5 |
9 |
11 |
23.8 |
17.2 |
30.8 |
28 |
33.1 |
22.6 |
51.8 |
50.3 |
53.4 |
WHO |
Southeastern |
School |
Grillo et al.33 Grillo LP, Conceição ML, de Matos CH, de Lacerda LLV. Estado nutricional e práticas de educação nutricional em escolares. Mundo Saúde 2016;40(2):230-8.
|
400 |
55 |
6 |
10 |
13 |
14 |
11.7 |
10 |
12.2 |
7.3 |
23 |
26.2 |
19 |
WHO |
Southern |
School |
Marques et al.3737 Marques AC, Schlosser KC, de Freitas Couto S,d’Almeida KSM. Consumo de alimentos ricos em sódio e alteração dos níveis pressóricos em adolescentes de Itaqui/RS. Rev Assoc Med Rio Grande do Sul 2016;60(2):97-103.
|
645 |
44.4 |
13 |
19 |
18.3 |
- |
- |
2.8 |
- |
- |
21.1 |
- |
- |
WHO |
Southern |
School |
Reuteret al.1616 Reuter CP, Burgos MS, Bernhard JC, Tornquist D, Klinger EI, Borges TS, et al. Association between overweight and obesity in schoolchildren with rs9939609 polymorphism (FTO) and family history for obesity. J Pediatr 2016;92(5):493-8.
|
406 |
50 |
7 |
17 |
- |
- |
- |
- |
- |
- |
57.4 |
- |
- |
WHO |
Southern |
School |
Silva et al.3838 Silva KEDS, Pelegrini A, Pinto ADA, Ronque ERV, Cyrino ES. Nutritional status of school cchildren aged 7-10 years enrolled in public and private schools of Cascavel, Paraná, Brazil. Rev Nutr 2016;29(5):699-708.
|
2.180 |
51.05 |
7 |
10 |
9.8 |
11.2 |
8.4 |
11.1 |
7.4 |
14.8 |
20.9 |
18.6 |
23.2 |
WHO |
Southern |
School |
Silva et al.3939 Silva KC, Nobre LN, Vicente SEDCF, Moreira LL, do Carmo Lessa A, Lamounier JA. Influência do índice glicêmico e carga glicêmica da dieta sobre o risco de sobrepeso e adiposidade na infância. Rev Paul Pediatr 2016; 34(3):293-300.
|
232 |
61.2 |
4 |
5 |
16.4 |
- |
- |
0.9 |
- |
- |
17.3 |
16.2 |
18.9 |
WHO |
Southeastern |
School |
Alves Junior et al.2020 Alves Junior CAS, Gonçalves ECA, Silva DAS. Obesity in adolescents in SouthernBrazil: association with sociodemographic factors, lifestyle and maturational stage. Rev Bras Cineantropom Desempenho Hum 2016;18(5):557-66.
|
1.132 |
44 |
14 |
19 |
37.3 |
- |
- |
17.2 |
8.1 |
29.2 |
54.5 |
- |
- |
WIL-LIAMS |
Southern |
School |
Bertuolet al.4040 Bertuol CD, Navarro AC. Consumo Alimentar e prevalência de obesidade/emagrecimento em pré-escolares de uma escola infantil pública. Rev Bras Obes Nutri Emagrecimento 2015;9(52):127-34.
|
65 |
- |
2 |
5 |
24.62 |
- |
- |
13.85 |
- |
- |
38.47 |
- |
- |
WHO |
Southern |
School |
Bispo et al.4141 Bispo S, Correia MITD, Proietti FA, Xavier CC, Caiaffa WT. Nutritional status of urban adolescents: individual, household and neighborhood factors based on datafrom The BH Health Study. Cad Saúde Publica 2015;31(1):232-45.
|
1.030 |
52.5 |
11 |
17 |
13.8 |
- |
- |
8.1 |
- |
- |
21.9 |
- |
- |
WHO |
Southeastern |
School |
Caldeiraet al.4242 Caldeira KMS, Souza JMP, Souza SB. Overweight and its relationship withduration of breast feeding in preschoolers. J Hum Growth Development 2015; 25(1):89-96.
|
219 |
52.5 |
4 |
5 |
- |
- |
- |
- |
- |
- |
9.6 |
- |
- |
WHO |
Southeastern |
School |
D'Avilaet al.4343 D’Avila GL, Müller RL, Gonsalez PS, Vasconcelos FDAGD. The association between nutritional status of the mother and the frequency and location of and company during meals and overweight/obesity among adolescents in the city of Florianópolis, Brazil. Rev Bras Saúde Mater Infant 2015;15(3):289-99.
|
962 |
41.1 |
11 |
14 |
18.3 |
- |
- |
11.6 |
- |
- |
29.9 |
34.1 |
28.8 |
WHO |
Southern |
School |
Dutraet al.4444 Dutra GF, Kaufmann CC, Pretto AD, Albernaz EP. Television viewing habits and their influence on physical activity and childhood overweight. J Pediatr 2015; 91(4):346-51.
|
616 |
51.3 |
0 |
8 |
- |
- |
- |
- |
- |
37.5 |
- |
- |
37.5 |
WHO |
Southern |
Hospital |
Eneset al.4545 Enes CC, Slater B. Dietary intake of adolescents compared with the Brazilian Food Guide and their differences according to anthropometric data and physical activity. Rev Bras Epidemiol 2015;18(4):798-808.
|
476 |
45.4 |
11.1 |
0.81 |
- |
- |
- |
- |
- |
- |
36.1 |
36.1 |
36.2 |
WHO |
Southeastern |
School |
Fernandes et al.4646 Fernandes MTB, Danti GV, Garcia DML, Ferraro AA. Excess body weight in children may increase the length of hospital stay. Clinics 2015;70(2):87-90.
|
91 |
54.9 |
1 |
10 |
- |
- |
- |
- |
- |
- |
8.9 |
87.5 |
12.5 |
WHO |
Southeastern |
Hospital |
Ferrari et al.4747 Ferrari GL, Araújo TL, Oliveira LC, Matsudo V, Fisberg M. Association betweenelectronic equipment in the bedroom and sedentary lifestyle, physical activity, and bodymassindex of children. J Pediatr 2015;91(6):574-82.
|
441 |
49 |
9 |
11 |
23.1 |
- |
- |
22.2 |
- |
- |
45.3 |
- |
- |
WHO |
Southeastern |
School |
Ferreira et al.4848 Ferreira HS, Lúcio GMA, Assunção ML, Silva BCV, Oliveira JS, Florêncio TMM et al. High blood pressure among students in public and private schools in Maceio, Brazil. PloS One 2015;10(11):0142982.
|
1.338 |
52.2 |
9 |
11 |
- |
- |
- |
13.4 |
- |
- |
- |
- |
- |
WHO |
Northeastern |
School |
Miranda et al.4949 Miranda JMQ, Palmeira MV, Polito LFT, Brandão MRF, Bocalini DS, Junior AJF, et al. Prevalência de sobrepeso e obesidade infantil em instituições de ensino; públicas vs. privadas. Rev Bras Med Esporte 2015;21(2):104-107.
|
200 |
45.5 |
8 |
10 |
14.5 |
13.2 |
15.6 |
19 |
20.9 |
17.4 |
33.5 |
34.1 |
33 |
CDC |
Southeastern |
School |
Monteiroet al.5050 Monteiro AR, Dumith SC, Gonçalves TS, Cesar JA. Overweight among young people in a city in the Brazilian semiarid region: a population-based study.Cien Saude Colet 2016;21(4):1157-1164.
|
1.088 |
47.7 |
13 |
19 |
10.5 |
- |
- |
- |
- |
- |
10.5 |
9.5 |
11.4 |
WHO |
Northeastern |
School |
Motteret al.5151 Motter AF, Vasconcelos FA, Correa EN, Andrade DF. Pontos de venda de alimentos e associação com sobrepeso/obesidade em escolares de Florianopolis, SantaCatarina, Brasil. Cad Saúde Pública 2015;31(3):620-32.
|
2.506 |
46.8 |
7 |
14 |
20.6 |
- |
- |
12.6 |
- |
- |
33.2 |
- |
- |
WHO |
Southern |
School |
Nascimento-Ferreiraet al.5252 Nascimento Ferreira MV, De Moraes AC, Carvalho HB, Moreno LA, Gomes Carneiro AL, Dos Reis VM, et al. Prevalence of cardiovascular risk factors, the association with socioeconomic variables in adolescents from low-income region. Nutr Hosp 2015;31(1):217-24.
|
1.014 |
45.2 |
14 |
19 |
13.1 |
- |
- |
3.8 |
- |
- |
16.9 |
- |
- |
WHO |
Northeastern |
School |
Passos et al.5353 Passos DR, Gigante DP, Maciel FV, Matijasevich A. Comportamento alimentar infantil: comparação entre crianças sem e com excesso de peso em uma escola do município de Pelotas, RS. Rev Paul Pediatr 2015;33(1):42-9.
|
335 |
49.7 |
6 |
10 |
26 |
28 |
24 |
24.7 |
15 |
5 |
50.7 |
43 |
29 |
WHO |
Southern |
School |
Ramos et al.5454 Ramos CV, Dumith SC, César JA. Prevalence and factors associated with stuntingand excess weight in children aged 0‐5 years from the Brazilian semi-arid region. J Pediatr 2015;91(2):175-82.
|
1.640 |
- |
0 |
5 |
- |
- |
- |
- |
- |
- |
19.1 |
- |
- |
WHO |
Northeastern |
School |
Roman et al.5555 Roman EP, Ribeiro RR, Guerra-Junior G, Barros-Filho AA,. Comparação do estado nutricional de meninas de acordo com diferentes referências para índice de massa corporal. Rev Bras Saúde Mater Infant 2015;15(1):121-9.
|
2.759 |
0 |
9 |
17 |
- |
- |
8.8 |
- |
- |
6.7 |
- |
- |
15.5 |
WHO |
Southern |
School |
Rosiniet al.5656 Rosini N, Moura SAO, Rosini RD, Machado MJ, da Silva EL. Síndrome Metabólica e Importância das Variáveis Associadas em Crianças e Adolescentes de Guabiruba-SC, Brasil. Arq Bras Cardiol 2015;105(1):37-44.
|
1.011 |
47.6 |
6 |
14 |
21.1 |
- |
- |
13.2 |
- |
- |
34.3 |
- |
- |
WHO |
Southern |
School |
Silvaet al.5757 Silva DAS, Nunes HEG. Prevalência de baixo peso, sobrepeso e obesidade em crianças pobres do Mato Grosso do Sul. Rev Bras Epidemiol 2015;18(2):466-75.
|
19.289 |
51 |
5 |
10 |
15 |
16.1 |
14.8 |
11 |
11.9 |
9.1 |
26 |
28 |
23.9 |
WHO |
Midwest |
Datasus |
Sparrenbergeret al.5858 Sparrenberger K, Friedrich RR, Schiffner MD, Schuch I, Wagner MB. Ultraprocessed food consumption in children from a Basic Health Unit. J Pediatr2015;91(6):535-42.
|
204 |
50 |
2 |
10 |
- |
- |
- |
- |
- |
- |
34 |
- |
- |
WHO |
Southern |
BHU |
Vicenziet al.1111 Vicenzi K, Henn RL, Weber AP, Backes V, Paniz VMV, Donatti T, et al. Food insecurity and overweight in first grade students in the municipal school system in SãoLeopoldo, Rio Grande do Sul State, Brazil. Cad Saúde Publica 2015;31(5):1084-94.
|
782 |
52.9 |
6 |
7 |
- |
- |
- |
- |
- |
- |
38.1 |
- |
- |
WHO |
Southern |
School |
Barbosa Filho et al.5959 Barbosa Filho VC, da Silva Lopes A, Fagundes RR, de Campos W. Índices antropométricos em escolares de um município no Sul do Brasil: análise descritiva utilizando o método LMS1. Rev Paul Pediatr 2014;32(4):333-41.
|
2.035 |
49.9 |
7 |
10 |
19.4 |
- |
- |
6 |
- |
- |
25.4 |
- |
- |
WHO |
Southern |
School |
Fariaet al.6060 Faria AG, Ribeiro MAG, Marson FAL, Schivinski CIS, Severino SD, Ribeiro JD, et al. Effect of exercise test on pulmonary function of obese adolescents. J Pediatr 2014;90(2):242-9.
|
92 |
47.8 |
10 |
17 |
- |
- |
- |
51.1 |
52.3 |
50 |
51.1 |
- |
- |
WHO |
Southeastern |
School |
Garcez et al.6161 Garcez MR, Pereira JL, Fontanelli MM, Marchioni DML, Fisberg RM. Prevalência de dislipidemia segundo estado nutricional em amostra representativa de São Paulo. Arq Bras Cardiol 2014;103(6):476-84.
|
158 |
50.1 |
12 |
19 |
11 |
- |
- |
2.4 |
- |
- |
13.4 |
- |
- |
WHO |
Southeastern |
Residence |
Martins et al.6262 Martins VM, Sousa RV, Rocha ES, Leite RB, Gomes MC, Granville-Garcia AF. Assessment of the association between overweight/obesity and traumatic dental injury among Brazilian schoolchildren. Acta Odont Latinoam 2014;27(1):26-32.
|
590 |
46.6 |
7 |
14 |
8.7 |
- |
- |
13.3 |
- |
- |
22 |
13.5 |
13.7 |
WHO |
Northeastern |
School |
Mendonça et al.6363 Mendonça KL, Sousa AL, Carneiro CS, Nascente FM, Póvoa TI, Souza WK, et al. Does nutritional status interfere with adolescents’ body image perception? Eat Behav 2014;15(3):509-12.
|
1.168 |
47.1 |
12 |
18 |
22.4 |
- |
- |
14.7 |
- |
- |
37.1 |
28.4 |
17.1 |
WHO |
Midwest |
School |
Marthendalet al.6464 Marthendal AT, Shimizu S, Azevedo LCD. Transtornos alimentares e sua relação com o estado nutricional em adolescentes de uma escola particular de Santa CatarinaBrasil. Arq Catarinense Med 2014;43(3):17-25.
|
130 |
51.5 |
14 |
18 |
16.1 |
22.3 |
9.2 |
5.4 |
7.5 |
3.2 |
21.5 |
29.8 |
12.4 |
WHO |
Southern |
School |
Mülleret al.6565 Müller RDM, Tomasi E, Facchini LA, Piccini RX, Silveira DSD, Siqueira FV, et al. Prevalence of overweight and associated factors in under-five-year-old children in urban population in Brazil. Rev Bras Epidemiol 2014;17(2):285-96.
|
6.397 |
50.2 |
0 |
5 |
- |
- |
- |
- |
- |
- |
12 |
12.8 |
10.5 |
WHO |
Allregions |
Residence |
Oppitzet al.6666 Oppitz IN, Cesar JÁ, Neumann NA. Excesso de peso entre menores de cinco anosem municípios do semiárido. Rev Bras Epidemiol 2014;17(4):860-72.
|
1.663 |
50.4 |
0 |
5 |
6.4 |
- |
- |
1.7 |
- |
- |
8.1 |
31.5 |
28.9 |
WHO |
Northeastern |
School |
Pinho et al.6767 Pinho L, Botelho ACDC, Caldeira AP. Fatores associados ao excesso de peso em adolescentes de escolas públicas no norte de Minas Gerais. Rev Paul Pediatr 2014;32(2):237-43.
|
535 |
32 |
11 |
17 |
- |
- |
- |
- |
- |
- |
18.5 |
16.4 |
19.5 |
WHO |
Southeastern |
School |
Rosaneliet al.6868 Rosaneli CF, Baena CP, Auler F, Nakashima ATA, Netto-Oliveira ER, Oliveira AB, et al. Aumento da pressão arterial e obesidade na infância: uma avaliação transversal de 4.609 escolares. Arq Bras Cardiol 2014;103(3):238-44.
|
4.609 |
47 |
6 |
11 |
16.9 |
17.8 |
16 |
7.6 |
8.6 |
6.6 |
24.5 |
26.4 |
22.6 |
WHO |
Southern |
School |
Souza et al.6969 Souza MCC, Tibúrcio JD, Bicalho MF, Rennó MS, Dutra JS, Campos LG, et al. Fatores associados à obesidade e sobrepeso em escolares. Texto Contexto Enferm 2014;23(3):712-9.
|
1.187 |
48.6 |
6 |
14 |
- |
- |
- |
- |
- |
- |
24.4 |
24.8 |
24.1 |
WHO |
Sudeste |
School |