Food intake and meal patterns of adolescents, São Paulo, Brazil



Greisse Viero da Silva LealI; Sonia Tucunduva PhilippiI; Sandra Marcela Mahecha MatsudoII; Erika Christiane ToassaIII

IFaculdade de Saúde Pública da Universidade de São Paulo - USP, SP, Brasil
IICentro de Estudos do Laboratório de Aptidão Física de São Caetano do Sul - CELAFISCS, São Caetano do Sul, SP, Brasil
IIIPrograma Internunidades Nutrição Humana Aplicada - PRONUT da Universidade de São Paulo - USP, SP, Brasil





OBJECTIVE: In order to assess the food intake and meal patterns of adolescents, a cross-sectional study was conducted with 228 adolescents from a public school in SP, Brazil.
METHODS: Energy, macronutrients, calcium, iron and vitamin A intake were evaluated. The food pattern was compared with the eating patterns established by the Food Pyramid for Adolescents. Meal frequency was verified to determine meal skipping. Descriptive statistics and Chi-square were used.
The mean energy intake was 66% lower than the recommendations, the carbohydrate intake was 50% lower, the fat intake was 50% higher and the protein intake was 40% higher. Among the studied adolescents, 21% skipped breakfast and a third have snacks instead of lunch or dinner.
CONCLUSION: The adolescents presented an energy insufficient diet with inadequate fruit and vegetable intake. The meal patterns were satisfactory, but breakfast should be encouraged.

Key words: adolescents, food consumption, food guide, feeding.




Adolescents are a nutritionally vulnerable age group, considering their increased nutritional needs, eating patterns, life style, and susceptibility to environmental influences 1,2. Therefore, providing access to information about nutrition and the monitoring of eating habits is important for identifying risky behavior as well as for ensuring their full growth and development potential.

At this age, an excessive consumption of soft drinks, sweets and fast food combined with a low intake of fruit, vegetables and dairy products is common 3, 4, 5, 6,. This eating pattern is concerning, because it can lead to overweight and a higher probability of non-transmissible chronic diseases (NTCD) such as diabetes, high blood pressure and dyslipidemia later in life 7, 8.

Thus, it is necessary to promote healthy eating during this growth stage. The use of an eating guide such as the Food Pyramid is appropriate, considering that this instrument has been adapted for the specific nutritional needs of adolescents, plotting the number of portions according to age, gender and level of physical activity 1.

The objective of the present study was to evaluate the pattern of meals and food intake of adolescents from a public school.



This cross-sectional study was performed in a public school in Ilhabela, a city of 26,000 inhabitants in the state of São Paulo, Brazil. The research was done in partnership with the Centro de Estudos e Laboratório de Aptidão Física de São Caetano do Sul (CELAFISCS), an institution that has been conducting a longitudinal study named Projeto Ilhabela for 30 years, with the objective of studying and following the growth, development and physical aptitude of students from low socio-economic backgrounds.

The city of Ilhabela has 5 public schools administered by the State of Sao Paulo, and the CELAFISCS project is carried out at a school named Escola Estadual Profª Eva Esperança Silva. The inclusion criteria for the study were that the adolescents had to be part of the above-mentioned project and from 10 to 18 years old.

The school has 640 students from fifth to ninth grades from 10 to 18 years old, approximately 50% of whom participate in Projeto Ilhabela. The sample was composed of adolescents who accepted the invitation to take part in the study and obtained permission from their parents (approximately 70 % of the eligible students). Exclusion criteria were not filling in either the diet questionnaire, the instrument for evaluation of physical activity level or for refusing to allow height and weight measurement.

Data was collected in September and October of 2006, using a 24-hour recall (24hR) to evaluate food intake. The information was collected on weekdays except Mondays. The instrument chosen for data collection was the Dunker and Philippi model 9, which can be used in groups, is self-answered and recommended for homogeneous populations (similar age, social class and level of schooling). The students filled out the 24hR in class using an explanation manual whose main points were copied on the chalkboard. An example diet was provided featuring all the items under consideration (time and type of meal, variation in foods and quantities). To obtain information about the usual consumption measurements, a number of common kitchen items were used (e.g., a soupspoon, teaspoon, ladle, and common food product containers as reference amounts). Any questions were answered collectively in order to help everyone to understand and reinforce the concepts. All 24hR forms were reviewed as they were handed in to minimize possible mistakes, and afterwards they were reevaluated to verify consistency of the data.

The quantitative variables studied were the total caloric value (TCV) of the diet and the consumption of macronutrients (carbohydrates, protein and lipids) and micronutrients (calcium, iron and vitamin A).

To calculate the estimated energy need (EEN) of each adolescent, the equations recommended in the Dietary Reference Intake (DRI)10 were used. Adolescents with caloric intakes below 500 kcal or above 6000 kcal were excluded11. The TCV of each subject's diet was compared to 100% of the EEN and classified as either above or below the recommended standard.

The ingestion of macronutrients was classified according to the recommendations of the WHO/FAO12 as either below the minimum, above the maximum, or within the recommended interval. Consumption of the micronutrients vitamin A and iron was regarded as either above or below recommended standards (i.e., 100% of the USRDA)10 and the standard for calcium was 100% of the Adequate Intake10.

The intake of the three main meals (breakfast, lunch and dinner) was evaluated, as well as the intake from the three intermediary meals (morning snack, afternoon snack, and evening snack) using the 24hR. For this analysis, probable intervals for mealtimes were established: breakfast between 6 and 9 AM; morning snack between 9 and 11 AM; lunch between 11 AM and 2 PM; afternoon snack between 2 and 6 PM; supper between 6 and 9 PM; and evening snack between 9 PM and 12 AM. The students reported their food intake according to this schedule; when they did not report a meal time, it was considered to have been skipped. The possible replacement of lunch or dinner with a snack was also taken into consideration.

The foods mentioned in the 24hR were listed and classified according to the groups in the Food Pyramid for Adolescents, which recommends a diet of about 2800 kcal for adolescents between 10 and 19 years old13.

The expected frequency (EF) for each food group was established by multiplying the portion quantity recorded on the 24hR (n=228) by the median number of recommended portions for each food group, as presented in Table 1. In order to verify the adequacy of the food intake according to the Food Pyramid groups, the ratio between EF and the observed frequency (OF) was calculated.



A descriptive analysis of the variables was conducted, and the Kolmogorov-Smirnov test was used to verify adherence to the normal curve. The result was a non-parametric distribution, and therefore a logarithmic transformation (y = log x) was used that yielded normally distributed data.

The chi-square (X²) test was used to explore the possible association between the variables total caloric intake/day, macronutrients, calcium, iron, and vitamin A according to gender. Statistical significance was set at 5% (p<0.05).

The data was processed using Virtual Nutri14 software; foods and types of preparation that were not part of the software database were included using the "Tabela de composição de alimentos: suporte para decisão nutricional" (Table of food composition: support for nutritional decisions)15 and the labels of regionally produced foods. Data analysis was performed using Microsoft Excel XP, Epi-Info (version 6.04) and SPSS (version 13.0).

This study was approved by the Ethics in Research Committee of the School of Public Health of the Universidade de São Paulo. The parents or guardians of the adolescents signed a written consent form allowing them to participate in the study.



The total number of adolescents evaluated was 228, which represented 35% of the student body. There were 115 (51%) boys, and 113 (49%) girls, aged between 10 and 13 (48%) and 14 and 18 (52%) years old.

The total energy intake was lower than recommended for 66% of the adolescents. This percentage was higher among the boys (70%) than the girls (63%, p=0.282) (Table 2).

Macronutrient consumption was within recommended limits for carbohydrates (52% of the adolescents), lipids (51%), and proteins (46%). The consumption of lipids was above the upper recommended limit for 47% of the adolescents. The intake of proteins also was above the recommendation for 40% of the sample. On the other hand, the intake of carbohydrates was below the lower recommended limit for 46% of the adolescents (Table 2).

The intake of vitamin A was below recommended for 86% of the boys. There was a positive association between being male and low intake of vitamin A (Table 2).

According to the recommendations, 96% of the girls and 90% of the boys ingested an insufficient quantity of calcium.

There was a statistically significant association (p<0.001) between the overconsumption of iron and being male (88%); iron overconsumption was 59% among girls.

Food intake data was also evaluated according to meal patterns. It was observed that most adolescents have all three main meals: breakfast (79%), lunch (93%) and supper (94%). As for snacks, 42% had a morning snack, 78% had an afternoon snack, and 16% had an evening snack (Table 3).



Nevertheless, it is important to emphasize that 21% of the adolescents did not have breakfast. This figure was higher among girls (29%) than boys (13%), resulting in a positive association between being female and skipping this meal (p=0.002). Regarding the other two main meals, the study verified that 7% of the adolescents did not have lunch, and 6% did not have supper. There was an association between being male and not having an afternoon snack (p=0.03), which occurred in 28% of the boys and 16% of the girls (Table 3).

Another common habit among adolescents was discovered in the analysis: 70 subjects (30.8%) replaced lunch or supper, which normally consists of rice, beans, meat and salad, with a snack. Only 6.2% of the students did this at lunch, but 24.6% did for supper (20.9% of the boys and 28.3% of the girls) (Table 3).

The most common replacements for a meal were milk, chocolate milk, French bread, margarine, and soft drinks.

When the OF of food groups and number of portions in the 24hR was compared to the EF in the Food Pyramid for Adolescents using the ratio OF/EF, the consumption of the group sugars and sweets was found to be 3.11 times the expected quantity, while the fruit group intake was 0.08 of what was expected. Furthermore, intake from the vegetable group was 0.17 (Table 4).



When the obtained frequency for each food group was transformed into Food Pyramid portions, an inversion was noticed in the position of the groups: the low intake of fruit, greens and vegetables put them at the top of the pyramid, while the group fats, oils and sweets was the base of the pyramid due to elevated intake (Figure 1).




It is important to meet energy needs during adolescence because an energy deficit can compromise growth and development.

For 66% of the adolescents, the total caloric value of the diet was below recommended, which agrees with the observations of researchers5 in the city of Florianópolis, Santa Catarina who also used a 24hR and found substandard caloric consumption in 50% of the adolescents. On the other hand, in the city of Piracicaba, São Paulo16, researchers using a food frequency questionnaire (FFQ) and the same formulas as the present study to calculate estimated caloric need, found that 83.8% of the adolescents were overeating. Slater et al. (2007)17, in a study about the correction of dietary data, observed that the median values found after the application of three 24hRs or one FFQ were close regarding caloric intake, with a small overestimation from the FFQ.

It has been argued that the use of only one 24hR limits studies of food intake because it does not characterize the habitual consumption of the individuals. The methodological choice of applying one 24hR, however, agrees with other authors18,19,20 who recognize this methodology as valid due to the sample size.

The mean values of total caloric intake were 2501.93 kcal for boys and 2285.48 kcal for girls, which were similar to those reported by Albano et al. (2001)21 in São Paulo (2733.87 kcal for boys and 2197.23 kcal for girls), who also used a 24hR. A study analyzing the mean caloric intake found in several other studies6 verified that in all cases the boys presented higher values. This is to be expected since that boys require a higher energy intake than girls.

Concerning macronutrients, approximately half of the subjects presented a low intake of carbohydrates and a high intake of proteins and lipids. This agrees with Nuzzo (1998)22, who observed that the consumption of carbohydrates by adolescents was below the recommended standard while their consumption of proteins and lipids was high. Carmo et. al.16 also emphasized the high intake of lipids (36.7%) found among the adolescents from Piracicaba. Such an unbalanced diet can contribute to a higher risk of overweight and obesity during adolescence.

Upon analyzing the number of portions for each Food Pyramid group, quantitative similarities were found for sources of macronutrients, vitamin A, calcium and iron (Table 2). More studies using the food groups as a parameter for quantitative comparison would be both important and necessary. According to the DRI, vitamin A consumption was low for most of the adolescents, as was the intake of dairy, fruit, greens and vegetables. Appropriate consumption of the liposoluble vitamin A is essential for maintaining ocular health and is especially important for normal skeletal growth and development during this phase.

The mean consumption of calcium among the adolescents (541.30mg) was less than 50% of the recommended standard, a finding repeated in other studies 21, 22, 23. When comparing the 24hR results to the Food Pyramid for adolescents 13, it was observed that the primary source of calcium, the dairy group, amounted to only 0.32 of the expected amount (Table 4). A study of adolescents carried out in the city of Guarulhos, São Paulo22 resulted in similar findings: in the sample of 400 24hRs, 1600 occurrences for the dairy group were expected but only 673 were found (0.42) for milk and cheese.

Humans can only obtain calcium through the diet; it is important to ensure sufficient ingestion of this mineral for complete skeletal growth and maturation, especially considering that it is during adolescence that the acquisition of bone mass reaches its peak23.

Iron intake was above that recommended for most adolescents, but it was still low in a majority of the girls. This result is concerning, because girls have a greater need for this mineral to compensate for postmenarcheal losses3. Nevertheless, iron was the mineral closest to the recommended values, perhaps due to a greater consumption of beans and meat than other foods from the cereal, fruit and vegetable groups. If lunch and supper were not skipped, it would be reasonable to assume that these adolescents could reach the iron recommendation, since the meat group frequency was close to the expected level, and the principal consumption of meat normally occurs during these two meals.

The evaluation of meal frequency was satisfactory, seeing that 79% of the subjects had breakfast, 93% had lunch, and 94% had supper, which are strong values for the three main meals. In a study evaluating the eating habits of adolescents in the city of Porto Alegre, Rio Grande do Sul24, 96% of the adolescents had lunch and 86.8% had supper every weekday. In the state of Bahia, the percentage was even higher: 96.6% of the adolescents had three or more meals per day25.

However, the percentage of adolescents who skipped breakfast was high (21%), greater than values from the cities of Niterói, Rio de Janeiro26 (13.6% for boys and 18.7% for girls), Porto Alegre24 (16%), Viçosa, Minas Gerais27 (11%), Rio de Janeiro28 (8%) and Guarulhos22 (2.5%).

Skipping meals is a very common habit among adolescents, especially breakfast, and this could have contributed to the difficulty achieving nutritional needs, especially calcium, found in this study. Because many important foods commonly ingested at mealtimes (e.g. rice, beans and salad) are rarely consumed at other times of the day, this habit can increase the risk of obesity as well as negatively affect school performance3, 26,28.

Another eating characteristic of adolescents is to replace a more traditional lunch and/or supper for caloric snacks usually lacking in nutritional value such as soft drinks, cookies, chocolate, ice cream, French fries, and potato chips 3,11.

The criterion meal replacement, however, presented satisfactorily low results. In addition, the main foods used to replace meals were: French bread, margarine, milk, chocolate milk, and soft drinks. These foods, with the exception of the last item, can be considered healthy and nutritive. The expectation was to find a higher consumption of fast food and processed foods like potato chips and sweets in general. However, it is important to point out that there are no major fast food chains in Ilhabela, and the access to such venues could further be limited due to low family income and their disproportionately high prices in Brazil29.

In order to illustrate the adolescents' intake according to the Food Pyramid 23, the groups with the highest and lowest intake frequency were replaced in the figure to allow better visualization of the results. The fats, oils and sweets group served as the base of the pyramid, and due to the low intake of fruit and vegetables, this group was at the top of the pyramid.

In another study based on the Food Pyramid, Dalla Costa et al.30 observed that considering foods and not just isolated nutrients would serve the public interest better, since this approach would be more tangible and could more easily be transformed into health practices, such as local public initiatives to develop healthier eating habits.

Other studies evaluating food intake found similar results. Researchers evaluating 4452 adolescents in the city of Pelotas, Rio Grande do Sul31, found out that the majority had a diet poor in fiber (83.9%) and that more than one third (36.6%) had a diet rich in fat. Another study carried out in the city of São Paulo with 234 adolescents verified an insufficient intake of fruit and vegetables in about 89% of the subjects according to the recommendations of the Food Pyramid 32.

In the present study, aside from the small quantities, the varieties of fruit and vegetables were also quite limited (only bananas, oranges, apples, lettuce, onions and tomatoes), indicating possible food monotony, which could be related to higher risk of nutritional deficiencies.

The adolescents presented a higher consumption of beans than expected (1.20), which could have contributed to the high protein intake. Eating beans can be encouraged because it is a traditional component of Brazilian cuisine and they have high nutritional value due to concentrations of fiber, proteins, iron and folic acid, making them an important source of iron and protein for low income adolescents.

Intake from the group including meat and eggs was considered satisfactory because it was close to the expected frequency (0.85). Even though fish is not stereotypically a part of adolescent eating habits 4,25, it was expected that subjects from Ilhabela, an island, would have it more frequently in their meals due to availability and low cost.

The evaluation of the adolescents' food intake according to the Food Pyramid groups was methodologically satisfactory because it allowed the identification of eating patterns. Additionally, the methodology of using the observed/expected frequency (Table 4) of each Pyramid group allowed a faster and more effective visualization of eating patterns.

Adolescents should be instructed to modify their eating habits to better conform to the Food Pyramid for Adolescents, reducing the intake of fats and sugars while increasing the consumption of fruit, vegetables and whole grains. School- and community-based intervention measures are necessary to develop a healthy lifestyle in adolescence and to maintain it in adulthood.

Based on the results presented in this study, we can conclude that most of these adolescents presented caloric insufficiency with an alarmingly low consumption of fruit and vegetables. Even though the meal frequency pattern was considered satisfactory, breakfast should be especially encouraged.



1. Philippi ST. Alimentação saudável e a pirâmide dos alimentos. In: Philippi ST. Pirâmide dos alimentos - Fundamentos básicos da nutrição. Barueri: Manole; 2008. p. 1-29.         

2. World Health Organization. Nutrition in adolescence: issues for the health sector: issues in adolescent health and development. Geneva; 2005. Disponível em http://www.who.int/child_adolescenthealth/publications/ADH/Discussion_papers.htm/ [Acessado em 20 de março de 2008]         

3. Fisberg M, Bandeira CRS, Bonilha EA, Halpern G, Hirschbruch MD. Hábitos alimentares na adolescência. Pediatr Mod 2000; 36: 766-70.         

4. Carvalho CMRG, Nogueira AMT, Telles JBM, Paz SMR, Sousa RML. Consumo alimentar de adolescentes matriculados em um colégio particular de Teresina, Piauí, Brasil. Rev Nutr 2001; 14: 85-93.         

5. Kazapi IM, Pietro PFD, Avancini SRP, Freitas SFT, Tramonte VLCG. Consumo de energia e macronutrientes por adolescentes de escolas públicas e privadas. Rev Nutr 2001; 14 (S1): 27-33.         

6. Garcia GCB, Gambardella AMD, Frutuoso MFP. Estado nutricional e consumo alimentar de adolescentes de um centro de juventude da cidade de São Paulo. Rev Nutr 2003; 16: 41-50.         

7. Veiga GV, Cunha AS, Sichieri R. Trends in overweight among adolescents living in the poorest and richest regions of Brazil. Am J Public Health 2004; 94: 1544-8.         

8. World Health Organization. Physical status: use and interpretation of anthropometry. Report of a WHO Expert Committee. Geneva; 1995. [WHO Technical Report Series, 834]          .

9. Dunker KLL, Philippi ST. Recordatório alimentar de 24 horas "modificado", avaliação do consumo alimentar de adolescentes. [Apresentado ao I Congresso Latino-Americano de Nutrição Humana. Gramado, Brasil; 1999]         

10. Institute of Medicine. Dietary Reference Intakes for Vitamin A, Vitamin K, Arsenic, Boron, Chromium, Copper, Iodine, Iron, Manganese, Molybdenum, Nickel, Silicon, Vanadium, and Zinc. Food and Nutrition Board. Washinghton, DC: National Academy Press; 2002.         

11. Andrade RG, Pereira RA, Sichieri R. Consumo alimentar de adolescentes com e sem sobrepeso do Município do Rio de Janeiro. Cad Saúde Pública 2003; 19: 1485-95.         

12. World Health Organization. Diet, Nutrition and the Prevention of Chronic Diseases. Report of a joint WHO/FAO expert consultation. Geneva; 2003. [WHO Technical Report Series, 916]          .

13. Philippi ST, Aquino RC, Leal GVS. Necessidades e recomendações nutricionais. In: Palma D, Oliveira FLC, Escrivão MAMS. Guia de nutrição clínica na Infância e na adolescência. Barueri, SP: Manole; 2009. p. 55-67.         

14. Philippi ST, Szarfarc SC, Latterza AR. Virtual Nutri [software]. Versão 1.0 for Windows. Departamento de Nutrição/ Faculdade de Saúde Pública/ Universidade de São Paulo; 1996.         

15. Philippi, S.T. Tabela de Composição de Alimentos: suporte para decisão nutricional. Brasília: Anvisa, Finatec/Nut-UnB; 2001.         

16. Carmo MB, Toral N, Silva MV, Slater B. Consumo de doces, refrigerantes e bebidas com adição de açúcar entre adolescentes da rede pública de ensino de Piracicaba, São Paulo. Rev Bras Epidemiol 2006; 9: 121-30.         

17. Slater B, Marchioni DML, Voci SM. Aplicação de regressão linear para correção de dados dietéticos. Rev Saúde Pública 2007; 41: 190-6.         

18. Demory-Luce D, Morales M, Nicklas T, Baranowski T, Zakeri I, Berenson G. Changes in food group consumption patterns from childhood to Young adulthood: The Bogalusa Heart Study. J Am Diet Assoc 2004; 104: 1684-91.         

19. Thomson CA, Guiliano A, Rock CL, Ritenbaugh CK, Flatt SW, Faieber S, et al. Measuring dietary change in a diet intervention trial: comparing food frequency questionnaire and dietary recalls. Am J Epidemiol 2003; 157: 754-62.         

20. Block G. A review of validations of dietary assessment methods. Am J Epidemiol 1982; 115: 492-505.         

21. Albano RD, Souza SB. Ingestão de energia e nutrientes por adolescentes de uma escola pública. J Pediatr 2001; 77: 512-6.         

22. Nuzzo L. Avaliação do estado nutricional de adolescentes de uma instituição particular de ensino [dissertação de mestrado]. São Paulo: Faculdade de Saúde Pública da Universidade de São Paulo; 1998.         

23. Lerner BR, Lei DLM, Chaves SP, Freire RD. O cálcio consumido por adolescentes de escolas públicas de Osasco, São Paulo. Rev Nutr 2000; 13: 57-63.         

24. Feijó RB, Sukster EB, Friedrich L, Fialho L, Dziekaniak KS, Christini DW, et al. Estudo de hábitos alimentares em uma amostra de estudantes secundaristas de Porto Alegre. Ped 1997; 19: 257-62.         

25. Santos JS, Costa MCO, Sobrinho CLN, Silva MCM, Souza KEP, Melo BO. Perfil antropométrico e consumo alimentar de adolescentes de Teixeira de Freitas, Bahia. Rev Nutr 2005; 18: 623-32.         

26. Fonseca VM, Sichieri R, Veiga GV. Fatores associados à obesidade em adolescentes. Rev Saúde Pública 1998; 32: 541-9.         

27. Vieira VCR, Priore SE, Ribeiro SMR, Franceschini SCC. Alterações no padrão alimentar de adolescentes com adequação pôndero-estatural e elevado percentual de gordura corporal. Rev Bras Saúde Matern Infant 2005; 5: 93-102.         

28. Estima CCP, Costa RS, Sichieri R, Pereira RA, Veiga GV. Meal consumption patterns and anthropometric measurements in adolescents from a low socioeconomic neighborhood in the metropolitan area of Rio de Janeiro, Brazil. Appetite 2009; 52: 735-9.         

29. IBGE - Instituto Brasileiro de Geografia e Estatística. Resultados da Amostra do Censo Demográfico 2000 - Malha municipal digital do Brasil: situação em 2001. Rio de Janeiro: IBGE, 2001. Disponível em: http://www.ibge.gov.br/cidadesat. [Acessado em 15 de abril de 2008]         

30. Dalla Costa MC, Cordini Júnior L, Matsuo T. Hábito alimentar de escolares adolescentes de um município do oeste do Paraná. Rev Nutr 2007; 20: 461- 71.         

31. Neutzling MB, Araujo CLP, Vieira MFA, Hallal PC, Menezes AMB. Frequência de consumo de dietas ricas em gordura e pobres em fibra entre adolescentes. Rev Saúde Pública 2007; 41: 336-42.         

32. Toral N, Slater B, Cintra IP, Fisberg M. Adolescent eating behavior regarding fruit and vegetable intakes. Rev Nutr 2006; 19: 331- 40.         



Greisse Viero da Silva Leal
Departamento de Nutrição
Faculdade de Saúde Pública
Universidade de São Paulo - USP
Av. Dr Arnaldo, 715
CEP 01246-904, São Paulo, SP - Brasil
E-mail: greisse@usp.br

Recebido em: 06/07/09
Versão final reapresentada em: 26/05/10
Aprovado em: 09/06/10

Associação Brasileira de Pós -Graduação em Saúde Coletiva São Paulo - SP - Brazil
E-mail: revbrepi@usp.br