SciELO - Scientific Electronic Library Online

 
vol.27 número2Contribuições no campo da saúde pública para tomada de decisão em saúdeAntropometria e estilo de vida de crianças e adolescentes no interior do Nordeste do Brasil índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

artigo

Indicadores

Compartilhar


Journal of Human Growth and Development

versão impressa ISSN 0104-1282versão On-line ISSN 2175-3598

J. Hum. Growth Dev. vol.27 no.2 São Paulo maio/ago. 2017

https://doi.org/10.7322/jhgd.123186 

ORIGINAL ARTICLE

 

Factors associated with overweight among school adolescents

 

 

Edson dos Santos FariasI, II; Josivana Pontes dos SantosII, III; Maísa Maia SoaresII, III; Katia Fernanda Alves MoreiraI, II; Ivanice Fernandes Barcellos GemelliI; Luis Gonzaga de Oliveira GonçalvesI; Orivaldo Florêncio de SouzaIV

INúcleo de Saúde da Universidade Federal de Rondônia/UNIR
IIMembro do Centro de Estudos de Pesquisa em Saúde Coletiva/ CEPESCO/UNIR
IIIPrograma Institucional de Bolsas de Iniciação Científica (PIBIC)/UNIR
IVCentro de Ciências da Saúde e Desporto - CCSD da Universidade Federal do Acre/UFAC

Correspondence

 

 


ABSTRACT

INTRODUCTION: Overweight has been reported as a public health problem. Consequently, this suggests epidemiological studies for nutritional surveillance.
OBJECTIVE: To analyze the prevalence and factors associated with overweight among high school students in Capital of the Brazilian Western Amazon.
METHODS: Cross-sectional study of 2694 adolescents from public and private schools. They collected demographic, socioeconomic and sedentary behavior through self-responded questionnaire. Overweight rating followed the recommendations of the World Health Organization (2007). The prevalence rates were calculated, odds ratio and their confidence intervals were calculated at 95%. They identified the factors associated with excess weight by multiple binary logistic regression.
RESULTS: The overall prevalence of overweight was 24.2% and 26.3% for males and 22.4% for females. After adjustment factors associated with overweight were economic class A / B (OR = 1.30, 95% CI 1.02 to 1.45), private school type (OR = 1.21, 95% CI 1,02-1.46) and poor health perception (OR = 1.27, 95% CI 1.03 to 1.58). It was concluded that excess weight showed high prevalence in economy class adolescents and B and private schools in Porto Velho, RO, Brazil.
CONCLUSION: Therefore, the practice of physical activity associated with a diet should be encouraged, in addition to reducing sedentary behavior, to prevent the development of overweight and obesity.

Keywords: students, adolescents, overweight, physical activity


 

 

INTRODUCTION

Excess weight (overweight and obesity) in children and adolescents is considered a public health problem in many countries, regardless of their level of development; more recent surveys show prevalence of around 18% in children in the 11-year age group considered as obese in England, the reasons for this phenomenon are several factors such as high calorie food, low levels of physical activity and family influence1.

A sedentary lifestyle and a poor standard of food can contribute to excess weight gain among adolescents, considered a risk factor for diseases such as respiratory problems, diabetes mellitus, hypertension and dyslipidemia2, accounting for a large share of spending on public health3.

In Brazil, data from surveys conducted by the Brazilian Institute of Statistical Geography (IBGE) showed that overweight boys aged 10 to 19 years increased from 3.7% (1974-75) to 21.7% (2008-09). Among girls, in the same period, the growth in overweight was 7.6% to 19.4%4. A study of Cardiovascular Risk in Adolescents (ERICA)5 with an estimated population of 73,399 people  found an overall prevalence of overweight and obesity of 17.6% and 7.6% for girls, and for boys 16.6% and 9.2%, being lower in the Northern region, girls 15.5% and 5.6%, boys 15.1% and 7.6%, and higher in the Southern region where girls showed 20.3% and 9.8%, boys 17.0% and 12.4%, respectively. The national prevalence of overweight and obesity in adolescents seems to be higher in the population of southern Brazil than in other regions.

Adolescence represents a critical period in relation to excess body weight due to rapid linear growth, hormonal, cognitive and emotional changes that can influence the amount of body fat. Teenagers who are overweight tend to become obese adults6. Thus, evaluating the nutritional status of adolescents has been recommended, allowing the identification of the subgroups with the highest frequency of exposure to this outcome.

Thus, the objective of this study is to analyse the prevalence and factors associated with overweight among high school students in the capital of the Brazilian Western Amazon.

 

METHODS

A cross-sectional descriptive study was conducted in the city of Porto Velho, capital of the state of Rondônia (RO), located in the northern region of Brazil. In 2010, the municipality had an estimated population of 428,527 inhabitants and a Human Development Index (HDI) of 0.756.

The characterization of the population studied was based on a file provided by the State Department of Education (SEDUC/RO), based on the 2010 school census, where the total number of students enrolled in high school was 14,706, distributed in the age group of 14 to 18 years of age of both sexes.

The sample size calculation was based on a 50% prevalence of overweight, a sampling error of two percentage points with confidence interval (CI 97%), resulting in 2,450 children enrolled in public and private schools. For the stratification of the schools by the number of students, the technique of simple randomization by parity proportionality among students of public and private schools 1,452 (59.27%) and 998 (40.73%) was used, was adjusted for losses and refusals 10%, finalized with 2,694, 1,598 (59.32%) and 1,096 (40.68%) respectively, with a response rate of 100%.

The selection process of the students was carried out in three stages: a stratified sampling was initially made proportional to the number of schools per stratum (north, south, east and west) of the city; in a second stage: selection of schools by strata through the proportional process in each stratum and a third stage: draw of the series/classes, from which all the selected students participated in the study. This sampling process allowed each student to be equally likely to be selected.

The study totalled 44 schools (31 public and 13 private). After the selection process, 15 schools (9 public and 6 private) were drawn.

The data collection period was carried out between August 2013 and June 2014. The team responsible for the collection, was composed of professionals and academics of the Physical Education, Nursing and Medicine course of the Federal University of Rondônia (UNIR), they were trained in anthropometric evaluation and also in the application of the questionnaire.

The procedure for applying the questionnaire was in the classroom in the presence of the researchers and the classroom teacher. The printed questionnaire was read and explained by the interviewer, and during the completion of the questionnaire, any doubts were clarified, with an average completion time of 20 minutes.

The questionnaire to collect the variables was a translated version of a self-administered questionnaire, previously tested by the Global School-based Student Health Survey (GSHS), proposed by the World Health Organization (WHO) (available at the website: www. who.int/chp/GSHS/en). Based on self-reported measures of weight and body height, the body mass index (BMI) was determined by scholars. The classification of the nutritional status of adolescents, from the BMI, was based on the criteria proposed by the World Health Organization7. The cutoff point adopted was "BMI> = +1.0 z-score" overweight (overweight and obesity)8.

The independent variables were all self-reported. For analysis purposes, they were divided into demographic variables: sex (male and female), age group (14-16 and 17-18 years of age), economic class (A, B and C/D/E), parents' education (primary, secondary and higher), type of school (public and private) and number of persons living at home (<2 members of the household and >3 members of the household); behavioural variables : Time watching television/computer (<2h/day, 3-4h/day and >4h/ day), health perception (satisfactory and unsatisfactory), physical activity levels (active and inactive) frequency and time of physical activity practice of moderate to vigorous intensity in a typical adolescent week were considered in order to derive a measure of the level of physical activity. Subjects who reported participating in at least 60 minutes of moderate to vigorous physical activity for five or more days per week were classified as physically active.

The time in front of the television and computer were considered together for week days and weekends, categorized as watching television: less than two hours, two to four hours and more than four hours daily.

Statistical analysis of the data was performed using the program Stata 12. The prevalence for overweight by sex and age was calculated. The odds ratio was obtained by multiple binary logistic regressions. The factors associated with overweight were those with a p-value equal to or below 0.05, after adjusting for sex and age.

Data were analysed with the Statistical Package for the Social Sciences version 16.0 and Stata 12.

The data collection was conducted through the authorization and signing of the Term of Free and Informed Consent (TCLE) by the school board, parents or guardians, and the Term of Free and Informed Assent (TFIA) by the students. The Committee of Ethics in Research with Human Subjects of the Federal University of Rondônia (UNIR) approved the study (Certificate of Presentation for Ethical Assessment/CAAE - n.14190113.30000.5300, opinion n.431.027).

 

RESULTS

In this study, variables collected from 2,694 high school students from Porto Velho, Rondônia, were analysed. Of these, 45% (1,212) were male and 55% female (1,482), divided into age groups, 1,529 between 14 and 16 years (56.8%) and 1,165 aged between 17 and 18 years (43.2%).

The overall prevalence of overweight was 24.2%. The male sex presented a higher prevalence of overweight (26.3%) in contrast to the female sex (22.4%). Specifically  in males, the highest prevalence of overweight was observed in students of private schools (30.5%), in households with few members (30.1%) of A/B economic classes. While in the female sex the highest prevalence of overweight was identified in adolescents with unsatisfactory health perception (27.4%), aged between 17 and 18 years (24.1%), and with parents who had an intermediate education level (24.1%).

 

Table 1

 

Table 2 shows that males were 1.23 times more likely to be overweight than females, with a statistical significance of 0.02. Between the ages of 14-16 years and 17-18 years there was no statistically significant difference. In the unadjusted logistic regression analysis, the following variables of p-values were found to be close to or below 0.05: gender, economic class, school type and health perception .

Table 3 presents the factors associated with overweight after adjusting for gender and age variables. The students belonging to the economic classes A/B had a 1.30 higher chance of being overweight compared to those of classes C/D/E. It was also found that students in private schools were 1.21 times more likely to be overweight than those of public schools. The report of unsatisfactory health perception had a magnitude of association of 1.27 (1.03 - 1.58) with overweight .

 

DISCUSSION

The gross and adjusted analysis of the present study showed that the prevalence of overweight and obesity was higher among male adolescents, of economic classes A and B, from private school with a poor health perception. The general prevalence of overweight of 24.2% was considered high, being approximate to that described in other studies. The findings of the latest international data, reported in a systematic review by Chung et al.9, show that excess weight (overweight and obesity) in children and adolescents (2-18 years old), from mid-2000, gradually increased without indication of reducing the peak. This fact has also been reported by other studies10-12.

In the USA, obesity in children and adolescents has increased markedly since 19807. A study of a population of blacks and Hispanic white schoolchildren in Atlanta (USA) in the years 1999, 2001, 2003, 2004, 2005 and 2007, revealed that the prevalence of overweight increased by 30%13.

In Brazil, two studies in Northern Brazil, in 2012 and 2011 by Farias et al.14 and Krinski et al.15 in the city of Rio Branco, Acre State, found a prevalence of overweight in schoolchildren from private schools of 26.9%, while in the city of Vilhena, Rondônia State, it was 19.3% in public schools. The findings of both studies confirm the high prevalence of overweight among school children in that geographical region, confirming studies in the northeast16 and southeast17 of Brazil, indicating overweight prevalence consistently above 22%, similar to this study, and that the southern region almost always showed a higher prevalence of above 30% in adolescents18.

In Porto Velho, male adolescents showed a higher prevalence ofoverweight in contrast to adult males.Asimilar trend was observed in Rio Branco students19. However, controversy exists regarding the highest differences between boys and girls, with lower socioeconomic status, impoverished by several factors of society and between less developed regions and more developed ones12. This variability by gender and age has also been observed in several countries and, in parallel to the increase of the magnitude in genetically stable populations, reaffirms the influence of dietary habits, sedentary lifestyles and socioeconomic conditions on obesity20.

Other studies corroborating the findings of the present one showed higher prevalence of overweight among male adolescents21,22. In the United States (USA) the prevalence of obesity in adolescents has increased dramatically from 5% to 13% for males and 5% to 9% in females between 1966 and 1970 and from 1988 to 19913. Similarly, in Rio Branco, itwas evidenced in research carried out in elementary and middle schools that boys had higher prevalence of overweight and obesity compared to girls21,22.

In Brazil4, the share of boys 10-19 years old with overweight increased from 3.7% (1974-75) to 21.7% (2008-09), while among girls, excess weight growth ratio was 7.6% to 19.4%. Recent research by the Study of Cardiovascular Risk in Adolescents (ERICA) found an overall prevalence of excess weight (overweight and obesity) stratified by Brazilian regions of 25.8% for boys and 25.2% for girls5.

The results of this study (Northern region) were approximated to the ERICA5 research, being 22.7% of overweight for boys and 21.1% for girls. In other regions for both sexes, the prevalence was as follows: Northeast regions 24.0% and 24.5%, Central West 25% and 22.3%, Southeast 26.3% and 25.6% and South 29.4% and 30.1%, this shows a difference between sexes in the North, Midwest and Southeast where the boys predominated with higher prevalence, whereas in the Northeast and South regions the girls showed a higher overweight prevalence, particularly in the south of Brazil, already confirmed in other studies3,17,20.

In less developed regions or states, the proportion of overweight rises with higher economic class, in this study, overweight was significantly higher in the classes A and B. These results confirm the findings of other studies, that indicate that smaller and less economically favoured regions have a higher prevalence of overweight5,17. In developed countries the situation is reversed, with lower classes being more affected by being overweight1,2. The aforementioned authors try to explain this problem by the lower prevalence of overweight in the less favoured economic classes in the developing countries, by the lack of foods for a balanced diet of nutrients, associated to a greater energy expenditure during the day, in the higher income classes the frequency of excess weight becomes greater because of the easy access to processed foods and sedentary behaviours (television, computer, video games and others).

The gross and adjusted analysis showed a significant association of the prevalence of overweight with private schools ORb 1.24 (CI 95%: 1.04 to 1.49) and 1.21 ORaj (CI 95%: 1.02 - 1.46), studies show an association between studying in the private network and presenting greater risks of being overweight. Campos et al.23found a prevalence of 23.9% in private schools and 18.0% in public schools in Fortaleza, Ceará, Brazil. The study of Benedet et al.24found a prevalence of 30.12% overweight in private schools and 22.03% in public schools, and after crude analysis private school remained associated with excess weight in adolescent males ORb 1.52 (CI95%: 1.05 - 2.20).

This positive association between overweight, private school and higher socioeconomic classes is apparently supported by these adolescents in the greater access to hypercaloric foods and sedentary behaviors25.

In this study, adolescents with excess weight had ORaj 1.27 (CI95%: 1.03 to 1.58) more likely to perceive their health unsatisfactorily. These results are similar to those found in other studies25,26.

Excess weight is associated with various adverse health outcomes caused by physical, social and emotional problems27. Thus, it is speculated that adolescents with excess body weight would already perceive negative implications on their health produced by this nutritional problem through their own perception of body image influenced by several negative factors, such as school, television, place of residence, where these environmental factors are favoured considered negative by bullying culture, caused by low esteem, unbalanced high-calorie diet, poor motivation for physical activity, compulsive electronic devices (television, computer, mobile phone, video games and others), making these adolescents adopt a sedentary behaviour, bringing as consequences widespread diseases such as obesity, dyslipidemia, hypertension, diabetes mellitus and others28,29.

As a result, adolescents with overweight may be more likely to self-assess their health status negatively, because during the adolescent period they become more aware of their body appearance. In tropical countries like Brazil, teens who deviate from the socially determined "standard", are more vulnerable to dissatisfaction with their body shape, perceiving themselves as having a poor quality of health25.

Regarding the limitations of the study, the transversal design made it impossible to identify the temporal relationship between the independent variables and excess weight. Another limitation is the use of self-reported information collected through a questionnaire.

Considering the results, it is recommended to implement guidance and intervention programmes to reduce sedentary lifestyles, and it is necessary to assist in planning preventive actions in relation to excess weight in public and private schools21.

The practice of physical activity associated with a healthy diet should be promoted, in addition to reducing sedentary behaviour, to prevent the development of overweight and obesity.

 

CONCLUSION

The practice of physical activity associated with a diet should be encouraged, in addition to reducing sedentary behavior, to prevent the development of overweight and obesity.

Authors' contributions

ES Farias participated in all stages of the article. JP Santos and MM Soares participated in all stages of the data collection of the research project, collaborated with the theoretical revision and writing of the article. KFA Moreira, IFB Gemelli and LGO Gonçalves participated in all stages of data collection of the research project, the critical review of the article and final approval to be published. OF Souza collaborated in the analysis and interpretation of the data and approval of the final version to be published.

 

REFERENCES

1. Willis TA, Roberts KP, Berry TM, Bryant M, Rudolf MC. The impact of HENRY on parenting and family lifestyle: A national service evaluation of a preschool obesity prevention programme. Public Health. 2016;136:101-8. DOI: http://dx.doi.org/10.1016/j.puhe.2016.04.006        [ Links ]

2. Canella DS, Novaes HMD, Levy RB. Influência do excesso de peso e da obesidade nos gastos em saúde nos domicílios brasileiros. Cad Saúde Pública. 2015;31(11):2331-41. DOI: http://dx.doi.org/10.1590/0102-311X00184214        [ Links ]

3. Mistry SK, Puthussery S. Risk factors of overweight and obesity in childhood and adolescence in South Asian countries: a systematic review of the evidence. Public Health 2015;129(3):200-9. DOI: http://dx.doi.org/10.1016/j.puhe.2014.12.004        [ Links ]

4. Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa de orçamentos familiares 2008-2009: antropometría e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: 2010.         [ Links ]

5. 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. Rev Saúde Pública. 2016;50(supl 1):9s. DOI: http://dx.doi.org/10.1590/S01518-8787.2016050006685        [ Links ]

6. Sperandio N, Sant'ana LFR, Franceschini SCC, Priore SE. Comparação do estado nutricional infantil com utilização de diferentes curvas de crescimento. Rev Nutr. 2011;24(4):565-74. DOI: http://dx.doi.org/10.1590/S1415-52732011000400005        [ Links ]

7. World Health Organization (WHO). WHO Child Growth Standards: length/ height-for-age, weight-forage, weight-for-length weight-forheight and body mass index-for-age: methods and development. Geneva: 2006.         [ Links ]

8. Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660-7. DOI: http://dx.doi.org/10.1590/S0042-96862007000900010        [ Links ]

9. Chung A, Backholer K, Wong E, Palermo C, Keating C, Peeters A. Trends in child and adolescent obesity prevalence in economically advanced countries according to socioeconomic position: a systematic review. Obes Rev. 2016;17(3):276-95. DOI: http://dx.doi.org/10.1111/obr.12360        [ Links ]

10. Huang JY, Qi SJ. Childhood obesity and food intake. World J Pediatr. 2015;11(2):101-7. DOI: http://dx.doi.org/10.1007/s12519-015-0018-2        [ Links ]

11. Mâsse LC, Niet-Fitzgerald JE, Watts AW, Naylor PJ, Saewyc EM. Associations between the school food environment, student consumption and body mass index of Canadian adolescents. Int J Behav Nutr Phys Act. 2014;11(1):29. DOI: http://dx.doi.org/10.1186/1479-5868-11-29        [ Links ]

12. Peirson L, Fitzpatrick-Lewis D, Morrison K, Warren R, Usman Ali MU, Raina P. Treatment of overweight and obesity in children and youth: a systematic review and meta-analysis. CMAJ Open. 2015;3(1):E35-46. DOI: http://dx.doi.org/10.9778/cmajo.20140047        [ Links ]

13. Dong D, Bilger M, van Dam RM, Finkelstein EA. Consumption of specific foods and beverages and excess weight gain among children and adolescents. Health Aff. 2015;34(11):1940-8. DOI: http://dx.doi.org/10.1377/hlthaff.2015.0434        [ Links ]

14. Farias ES, Santos AP, Farias-Júnior JC, Ferreira CRT, Carvalho WRG, Gonçalves EM, et al. Excesso de Peso e fatores associados em adolescentes. Rev Nutr. 2012;25(2):229-236. DOI: http://dx.doi.org/10.1590/S1415-52732012000200005        [ Links ]

15. Krinski K, Elsangedy HM, Hora S, Rech CR, Legnani E, Santos BV, et al. Estado nutricional e associação do excesso de peso com gênero e idade de crianças e adolescentes. Rev Bras Cineantropom Desempenho Hum. 2011 ;13(1):29-35. DOI: http://dx.doi.org/10.5007/1980-0037.2012v13n1p29        [ Links ]

16. Brasil LMP, Fisberg M, Maranhão HS. Excesso de peso de escolares em região do Nordeste Brasileiro: contraste entre as redes de ensino pública e privada. Rev Bras Saúde Matern Infant. 2007;7(4):405-12. DOI: http://dx.doi.org/10.1590/S1519-38292007000400008        [ Links ]

17. Fernandes RA, Codgno JS, Cardoso JR, Ronque ERV, Freitas Junior IF, Oliveira AR. Fatores associados ao excesso de peso entre adolescentes de diferentes redes de ensino do município de Presidente Prudente, São Paulo. Bras Saude Matern Infant. 2009; 9(4):443-9. DOI: http://dx.doi.org/10.1590/S1519-38292009000400009        [ Links ]

18. Suñé FR, Dias-da-Costa JS, Olinto MT, Pattussi MP. Prevalence of overweight and obesity and associated factors among schoolchildren in a southern Brazilian city. Cad Saude Publica. 2007;23(6):1361-71. DOI: http://dx.doi.org/10.1590/S0102-311X2007000600011        [ Links ]

19. Souza OF, Farias ES. Underweight and overweight in school children from Rio Branco, Acre State, Brazil. J Hum Growth Dev. 2011;21(3):878-82. DOI: http://dx.doi.org/10.7322/jhgd.20040        [ Links ]

20. Kosti RI, Panagiotakos DB. The epidemic of obesity in children and adolescents in the world. Cent Eur J Public Health. 2006;14(4):151-9.         [ Links ]

21. Melo ME, Migueis GL, Almeida MS, Dalamaria T, Pinto WJ, Freire MA, et al. Overweight and obesity of children in a brazilian elementary school: a comparison of three references. J Hum Growth Dev. 2016;26(3):341-4. DOI: http://dx.doi.org/10.7322/jhgd.122817        [ Links ]

22. Silva Júnior LM, Santos AP, Souza OF, Farias ES. Prevalence of excess weight and associated factors in adolescents of private schools of an Amazonic urban area, Brazil. Rev Paul Pediatr. 2012;30(2):217-22. http://dx.doi.org/10.1590/S0103-05822012000200010        [ Links ]

23. Campos LA, Leite AJM, Almeida PC. Prevalência de sobrepeso e obesidade em adolescentes escolares do município de Fortaleza, Brasil. Rev Bras Saúde Mater Infant. 2007;7(2):183-90. DOI: http://dx.doi.org/10.1590/S1519-38292007000200009        [ Links ]

24. Benedet J, Assis MAA, Calvo MCM, Andrade DF. Excesso de peso em adolescentes: explorando potenciais fatores de risco. Rev Paul Pediatr. 2013;31(2):172-81. DOI: http://dx.doi.org/10.1590/S0103-05822013000200007        [ Links ]

25. Dias PJP, Domingos IP, Ferreira MG, Muraro AP, Shieri R, Gonçalves-Silva RMV. Prevalência e fatores associados aos comportamentos sedentários em adolescentes. Rev Saúde Pública. 2014;48(2):266-74. DOI: http://dx.doi.org/10.1590/S0034-8910.2014048004635        [ Links ]

26. Malete L, Motlhoiwa K, Shaibu S, Wrotniak BH, Maruapula SD, Jackson J, et al. Body image dissatisfactions is increased in male and overweight/obese adolescents in Botswana. J Obes. 2013;2013. DOI: http://dx.doi.org/10.1155/2013/763624        [ Links ]

27. Fan M, Jin Y. The effects of weight perception on adolescents' weight-loss intentions and behaviors: evidence from the Youth Risk Behavior Surveillance Survey. Int J Environ Res Public Health. 2015;12(11):14640-68. DOI: http://dx.doi.org/10.3390/ijerph121114640        [ Links ]

28. Nascimento MMR, Melo TR, Pinto RMC, Morales NMO, Mendonça TMS, Paro HBMS, et al. Parents' perception of health-related quality of life in children and adolescents with excess weight. J Pediatr (Rio J). 2016;92(1):65-72. DOI: http://dx.doi.org/10.1016/j.jped.2015.04.006        [ Links ]

29. Brasil. Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa Nacional de Saúde Escolar (PeNSE) - 2012. Rio de Janeiro: 2013.         [ Links ]

 

 

Correspondence:
esfarias@bol.com.br

Manuscript received: 21 March 2017
Manuscript accepted: 20 June 2017
Version of record online: 06 September 2017

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons