0363/2020 - Mudanças na frequência do consumo de refeições em adolescentes residentes em área de vulnerabilidade social da região metropolitana do Rio de Janeiro
Changes in the frequency of meals of adolescents living in a socially vulnerable area in the metropolitan region of Rio de Janeiro
Autor:
• Rebecca de Almeida Maravalhas - Maravalhas, R. de A. - <rebecca.maravalhas@gmail.com>ORCID: https://orcid.org/0000-0001-9167-4382
Coautor(es):
• Danilo Dias Santana - Santana, D.D - <dias.danilo@hotmail.com>ORCID: https://orcid.org/0000-0002-9769-7435
• Rosana Salles-Costa - Salles-Costa, R. - <rosana@nutricao.ufrj.br>
ORCID: https://orcid.org/0000-0002-2307-4083
• Gloria Valeria da Veiga - Veiga, G.V - <gveiga@nutricao.ufrj.br>
ORCID: https://orcid.org/0000-0002-7985-0213
Resumo:
O objetivo deste estudo foi descrever as mudanças na frequência do consumo de refeições de adolescentes residentes na região metropolitana do Rio de Janeiro, em período de 5 anos. Utilizaram-se dados de dois estudos transversais, de base populacional, que foram realizados por meio de visitas domiciliares. Em 2005, a amostra final foi de 1089 domicílios com 511 adolescentes (de 12 a 18 anos), e em 2010 de 1121 domicílios com 314 adolescentes. A frequência do consumo de refeições foi obtida por meio de questionário autopreenchido e a avaliação da adequação de peso dos adolescentes foi realizada com base nos pontos de corte do IMC por sexo e faixa etária. Houve aumento da substituição diária do almoço tradicional por lanche (3,7% para 13,7%) e no consumo do jantar tradicional (62,9% para 72,0%). Os adolescentes com sobrepeso consumiram o desjejum com menor frequência do que aqueles sem sobrepeso (2005: 68,3% vs 79,3% p=0,02, 2010: 59,5% vs 77,4% p=0,03). Conclui-se que houve aumento da substituição diária do almoço tradicional por lanche e no consumo do jantar tradicional no período de 5 anos. Ademais, a prática do desjejum diário se associou com a classificação de IMC nos dois momentos do estudo, de modo que aqueles com sobrepeso consomem o desjejum com menor frequência.Palavras-chave:
refeições, adolescentes, índice de massa corporal.Abstract:
The aim of this study was to describe changes in the frequency of meals in adolescents living in the metropolitan region of Rio de Janeiro, over a 5-year period. Datatwo cross-sectional, population-based studies held by home visits were used. In 2005, the final sample was 1089 households with 511 adolescents (aged 12 to 18 years) and in 2010, 1121 households with 314 adolescents. The consumption frequency of meals was obtained through a self-administered questionnaire and the assessment of the adolescents\' weight adequacy was carried out based on the cut-off points of the BMI by sex and age group. There was an increase in the daily substitution of traditional lunch for snacks (3.7% to 13.7%) and in the consumption of traditional dinner (62.9% to 72.0%). Overweight adolescents consumed breakfast less frequently than those without overweight (2005: 68.3% vs 79.3% p=0.02, 2010: 59.5% vs 77.4% p=0.03). It was concluded that there was an increase in the daily substitution of traditional lunch for snacks and in the traditional dinner consumption in the period of 5 years. In addition, the practice of daily breakfast was associated with BMI classification at both times of the study, so that those who are overweight consume breakfast less frequently.Keywords:
meals, adolescents, body mass index.Conteúdo:
Acessar Revista no ScieloOutros idiomas:
Changes in the frequency of meals of adolescents living in a socially vulnerable area in the metropolitan region of Rio de Janeiro
Resumo (abstract):
The aim of this study was to describe changes in the frequency of meals in adolescents living in the metropolitan region of Rio de Janeiro, over a 5-year period. Datatwo cross-sectional, population-based studies held by home visits were used. In 2005, the final sample was 1089 households with 511 adolescents (aged 12 to 18 years) and in 2010, 1121 households with 314 adolescents. The consumption frequency of meals was obtained through a self-administered questionnaire and the assessment of the adolescents\' weight adequacy was carried out based on the cut-off points of the BMI by sex and age group. There was an increase in the daily substitution of traditional lunch for snacks (3.7% to 13.7%) and in the consumption of traditional dinner (62.9% to 72.0%). Overweight adolescents consumed breakfast less frequently than those without overweight (2005: 68.3% vs 79.3% p=0.02, 2010: 59.5% vs 77.4% p=0.03). It was concluded that there was an increase in the daily substitution of traditional lunch for snacks and in the traditional dinner consumption in the period of 5 years. In addition, the practice of daily breakfast was associated with BMI classification at both times of the study, so that those who are overweight consume breakfast less frequently.Palavras-chave (keywords):
meals, adolescents, body mass index.Ler versão inglês (english version)
Conteúdo (article):
Mudanças na frequência do consumo de refeições em adolescentes residentes em área de vulnerabilidade social da região metropolitana do Rio de JaneiroChanges in meal frequency among adolescents living in a socially vulnerable area of the Rio de Janeiro metropolitan region
Authors and Affiliations
Rebecca de Almeida Maravalhas1, Danilo Dias Santana1, Rosana Salles-Costa1, Gloria Valeria da Veiga1
1Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil
Corresponding author: Danilo Dias Santana, Av. Carlos Chagas Filho, 373 - bloco J 2º andar - Cidade Universitária, Rio de Janeiro - RJ, 21941-902, dias.danilo@hotmail.com, ORCID: 0000-0002-9769-7435
Resumo
O objetivo deste estudo foi descrever as mudanças na frequência do consumo de refeições de adolescentes residentes na região metropolitana do Rio de Janeiro, em período de 5 anos. Utilizaram-se dados de dois estudos transversais, de base populacional, que foram realizados por meio de visitas domiciliares. Em 2005, a amostra final foi de 1089 domicílios com 511 adolescentes (de 12 a 18 anos), e em 2010 de 1121 domicílios com 314 adolescentes. A frequência do consumo de refeições foi obtida por meio de questionnaire autopreenchido e a avaliação da adequação de peso dos adolescentes foi realizada com base nos pontos de corte do IMC por sexo e age group. Houve aumento da substituição diária do almoço tradicional por lanche (3,7% para 13,7%) e no consumo do jantar tradicional (62,9% para 72,0%). Os adolescentes com overweight consumiram o desjejum com menor frequência do que aqueles sem sobrepeso (2005: 68,3% vs 79,3% p = 0,02, 2010: 59,5% vs 77,4% p = 0,03). Conclui-se que houve aumento da substituição diária do almoço tradicional por lanche e no consumo do jantar tradicional no período de 5 anos. Ademais, a prática do desjejum diário se associou com a classificação de IMC nos dois momentos do estudo, de modo que aqueles com sobrepeso consomem o desjejum com menor frequência.
Palavras-chave: frequência de refeições, adolescentes, classificação de IMC.
Abstract
This study described changes in meal frequency over a 5-year period among adolescents living in the Rio de Janeiro metropolitan region. The data used were from two cross-sectional, population-based studies conducted by home visits. In 2005 the final sample was 1089 households with 511 adolescents (aged 12 to 18 years) and in 2010, 1121 households with 314 adolescents. Meal frequency was obtained through self-administered questionnaire and the adolescents were assessed for appropriate weight by BMI cut-off points, by sex and age group. Increasingly, traditional daily lunch was replaced by snacks (from 3.7% to 13.7%) and traditional dinner was eaten (62.9% to 72.0%).Overweight adolescents ate breakfast less often than those not overweight (in 2005, 68.3% and 79.3%, p = 0.02 and, in 2010, 59.5% and 77.4%, p = 0.03). Traditional daily lunch was increasingly replaced by snacks and consumption of traditional dinner increased over the 5-year period. Also, eating breakfast every day was associated with BMI classification at both study times: those who were overweight consumed breakfast less frequently.
Keywords: meal frequency, adolescents, BMI classification
Introduction
Certain particular features which are observed in adolescence, such as modifications in diet and eating patterns and in lifestyle1,2, can affect young people’s health and linger on into adult life3,4. These modifications cause concern, because they have been associated with the current epidemiological situation of substantially increased overweight and obesity in adolescents worldwide5,6, including in Brazil7,8 and with the development of chronic non communicable diseases in this age group4.
Adolescents’ diets characteristically contain excessive quantities of the fast food type of hypercaloric and industrialised foods, sugary soft drinks and sweets2,9,10, and are low in foods that are sources of fibre, such as fruits and vegetables11,12. Missing main meals, particularly breakfast13,14 or replacing them with snacks that are often rich in calories, carbohydrates and sodium12,15 are other common traits of adolescents’ eating habits.
In that context, habitually not missing meals has proven to be a protective factor against overweight and obesity16-17, while these health problems have been associated with missing main meals18,19. Adolescents’ consumption of foods considered important for their health and development is thus low. These include calcium-rich foods, which are mostly present at breakfast20,21, and marker foods of healthy eating present at lunch and dinner, such as beans, vegetables or greens and fruits12, which are unlikely to be eaten at any other time of day.
Studies of adolescents’ meals have observed that breakfast is the meal most missed, and more often by girls than by boys15,22,23. It has also been found that lunch is eaten more often than dinner18,24. Nonetheless, there are few reports of how these practices have been changing over time and how they may be associated with overweight and obesity, particularly in Brazil.
In 2005 Estima et al.25, in a cross-sectional study of adolescents living in a region whose population is predominantly lower class, observed that girls missed breakfast more often than boys (12.4% and 4.5%, respectively) and that an unsatisfactory meal pattern (when the three main meals – breakfast, lunch and dinner – were not eaten daily) was highly frequent, in around one third of the adolescents. They also observed an association between this unsatisfactory meal pattern and higher mean body mass indices (BMI), particularly in the boys.
In 2010 another cross-sectional study in the same location collected data on meal frequency, making it possible to investigate changes in these practices over time. Given the increased prevalence in overweight observed in the period between the two studies26, the hypothesis here is that the adolescents may have been missing meals increasingly in the period investigated and that this behaviour may be associated with overweight. Accordingly, the objective of this study was to describe the changes in meal frequency over time and to learn how that practice associated with the adolescents’ socioeconomic, demographic and weight profile variables over the five-year period.
Methods
Sampling
This study used data from two cross-sectional, population-based studies conducted by way of home visits to investigate residents of Campos Elíseos, Duque de Caxias, in Rio de Janeiro State, Brazil. At the time of the second study (2010), Campos Elíseos had a predominantly urban population, estimated at 855,048, which corresponded to 5.34% of the population of the state27. In 2005, it was notable for being one of the districts with the lowest per capita income in the municipality of Duque de Caxias, with only 26.8% of families receiving per capita income of more than one minimum wage, while about 83% of families were in social classes C and D by the ABIPEME classification and 52.3% of heads of families had not completed lower secondary school28.
The study population comprised the adolescents from 12 to 18.9 years old who formed part of the set of families resident in permanent private households in Campos Elíseos on the reference dates of each study (2005 and 2010).
In 2005 the final sample was 1088 households and 561 eligible adolescents, who were interviewed. Fifty adolescents were excluded for discrepancies in completion of the questionnaires, so that the data for 511 adolescents were considered (91.0% response rate). In the second study, conducted in 2010, the final sample was 1121 households, where all 314 adolescents considered eligible were interviewed.
In the two studies, adolescents were considered eligible if they were from 12 to 18.9 years old, had no physical disability that would prevent anthropometric evaluation and/or their responding to the questionnaire and were not pregnant. The home interviews and measurements were made after a free and informed consent form was signed by the person responsible for the household and only adolescents who agreed to participate were evaluated. Further details of the sampling criteria have been described in other articles published by Salles-Costa et al.28 and Santana et al.26.
Data collection
In both study periods, data were collected between April and December 2005 (the first study) and between April and December 2010 (the second study) by a team of interviewers specifically trained for the purpose.
The questionnaires applied in 2005 and 2010 were developed for these specific studies using questions established previously in similar studies. Both were divided into modules and were similar so as to assure the data would be comparable. The study reported here used the identification and control module, with items 1 to 6 to characterise the household; the module on adolescents, with 24 questions about living habits and demographics, of which those relating to the adolescents’ meal frequency and race were used; the anthropometrics module, of which the body mass and height measurements were used; and the household module, with 6 topics, of which the questions used were on sociodemographic data, such as monthly per capita family income and head of household’s schooling. In 2005 the schooling of the adult who answered the questionnaire was recorded. In 2010 the schooling of the head of household was assessed, because that position was required in order to be the questionnaire respondent. The difference in method is not believed to have biased the results, because most of the questionnaire respondents in 2005 were heads of household.
With a view to refining the data collection instrument, the questionnaires underwent pre-testing and a pilot study with individuals similar to the study participants, but who did not take part in the study. The questionnaires applied by the interviewers were reviewed by a supervisor shortly after the interviews were conducted. In the event of doubt as to whether or not a question had been responded to correctly, the resident was contacted by telephone for clarification. If that contact was not possible, the interviewer returned to the household to check the response.
Meal frequency was investigated by means of the following questions: in 2005 “How often do you usually eat the following meals?”; in 2010 “How many times a week do you eat the following meals?”. These questions referred to the main meals: traditional breakfast, lunch and dinner and lunch or dinner replaced by snacks. The response options were: a) daily, b) 3 to 6 times a week, c) once or twice a week and d) never or nearly never.
For the anthropometric assessment, in both studies, all individuals were assessed wearing light clothing and barefoot. Weight was measured with a portable digital scales with capacity of 150 kilograms and graduations of 50 grams. Height was measured using a portable stadiometer, with graduations of 0.1 centimetres (cm), with which two measurements were made, allowing a maximum variation of 0.5 cm between them, and their mean was calculated. Weight and height were obtained following the techniques proposed by Gordon, Chumlea & Roche29. BMI was calculated as weight in kilograms divided by weight in metres squared.
The sociodemographic variables investigated were sex, age, skin colour, monthly per capita family income (total earnings divided by the number of members of the family), expressed in multiples of a minimum wage (R$ 300.00 in 2005 and R$ 510.00 in 2010) and schooling of an adult in the family who responded to the questionnaire (generally the head of the house in 2005) and the head of the house in 2010.
Data analysis
The data were analysed using the Statistical Program for the Social Sciences, version 19.0 (SPSS, Chicago, IL), by applying the Complex Sample procedure for complex samples and data expansion.
Meal frequency was calculated as the percentage of adolescents who ate breakfast, lunch and dinner (traditional lunch and dinner if a meal was eaten or snack-lunch and snack-dinner). The categories used in the descriptive analyses were daily, 3 to 6 times a week, once or twice a week, never or nearly never. In the analyses of association, frequencies were grouped as more often (daily and 3 to 6 times a week) and less often (once or twice a week and never or nearly never).
Meal pattern was evaluated as a dichotomous variable (satisfactory or unsatisfactory) calculated by scoring the frequency with which the adolescents ate a meal at breakfast, lunch and dinner (daily = 0; 3 to 6 times a week = 1; once or twice a week = 2; never or nearly never = 3). As a result, scores ranged from zero to nine (the sum of scores for eating a meal at breakfast, lunch and dinner). The meal pattern was considered to be satisfactory when the sum was zero or one, as in Estima et al.25.
The appropriateness of the adolescents’ weight was calculated on the basis of BMI cut off points, by sex and age group, following World Health Organisation criteria30. The underweight and appropriate weight categories were grouped as “Not overweight” and overweight and obesity, as “Overweight”. Sex (male and female), age (12 to 14.9 years and 15 to 18.9 years) and skin colour (white and black/brown) were analysed as binary variables. In the descriptive analyses, per capita income was categorised as up to ½ minimum wage, ½ to 1 minimum wage and more than 1 minimum wage. In the analyses of association, this variable was considered binary (up to ½ minimum wage and greater than ½ minimum wage). In the descriptive analyses, the schooling of an adult in the family (2005) and the head of house (2010) was categorised as: A) Illiterate/ lower secondary, first stage incomplete; B) lower secondary, first stage complete / second stage incomplete; C) lower secondary, second stage complete / upper secondary incomplete; and D) upper secondary incomplete / higher incomplete and complete. In the analyses of association, this variable was considered to be binary and grouped as < 8 years’ schooling (grouping categories A and B) and ≥ 8 years’ schooling (grouping categories C and D).
First a descriptive analysis of the study variables was performed, for the frequencies and 95% confidence intervals (95%CI), at the two stages (2005 and 2010). The chi-squared test was used to compare frequencies between the studies. Associations between the dependent variables (eating meals at breakfast, lunch, dinner, snack-lunch and snack-dinner and meal pattern) and the independent variables (per capita income, head of household’s schooling, sex, age, skin colour and weight profile) were ascertained using the chi-squared test at each study date (2005 and 2010), accepting a p-value of < 0.05 for statistical significance. The magnitudes of the associations between the study data at 2005 and 2010 were evaluated by odds ratio (OR) and 95%CI and these ORs were compared using the method described by Altman & Bland31.
Results
Table 1 shows the adolescents’ distribution by sociodemographic characteristics and weight classification in 2005 and 2010. Weight classification differed significantly (p = 0.03) between the years: percentage underweight decreased (4.5% to 0.9%) and overweight increased (16.3% to 22.8%).
As regards meal frequency (Table 2), frequency of eating a snack-lunch every day increased from 3.7% (2005) to 13.7% (2010) and eating one never or nearly never decreased from 81.7% to 68.1% (p = 0.005). Eating a meal for dinner increased from 62.9% (2005) to 72.0 % (2010) (p = 0.002).
Also, in both 2005 and 2010, eating breakfast every day was associated with weight classification: prevalence was greater among adolescents who were not overweight than among those who were. In 2005 eating a meal at lunch every day was more prevalent among the younger participants than among the older ones (91.1% and 84.1%, p = 0.04) (Table 3).
Also in 2005 eating a meal for dinner every day was associated with age: it was more prevalent in those < 15 years old (69.5% and 57.6%, p = 0.005). In 2010 older adolescents (> 15 years old), those with more income (> ½ minimum wage) and those not overweight were approximately twice as likely to eat a meal for dinner daily as in 2005 (Table 3).
Satisfactory meal pattern was associated with sex and age in 2005: it was more prevalent in boys (72% and 62.2%, p = 0.04) and in adolescents < 15 years old (73.6% and 61.7%, p = 0.02). In 2010 it was associated with weight classification: it was more prevalent among those who were not overweight (75.4% and 54.4%, p = 0.007) (Table 3).
Discussion
Prominent among the main results, over the five-year period, were the increase in replacing a traditional daily lunch with a snack and in eating a traditional dinner. An association as also noted, at both points in the study, between eating breakfast every day and weight classification: those who were overweight ate breakfast less frequently that those who were not. That association was also evident in 2010 and an unsatisfactory meal pattern was more frequent in those who were overweight.
As regards meals eaten, most of the studies found in the literature evaluated only breakfast13,14. This study found that breakfast was eaten more often by those who were not overweight. The same was observed by Legarrea et al.32 with 21,385 adolescent students in Chile, where eating breakfast every day was more common among individuals with appropriate weight (62%) and less so among individuals who were overweight (56.3%) or obese (51.8%). Storey et al.19, in a study of Canadian adolescents, observed that those who were not overweight ate breakfast with greater frequency than the students who were overweight or obese.
Satisfactory meal pattern was also associated with weight classification in 2010: it was more frequent in those who were not overweight, similarly to what was found in the same population in 2005 by Estima et al.25. They observed that boys whose meal pattern was unsatisfactory (regularly omitting at least one of the three main meals) displayed higher mean BMI and waist circumference than those whose meal pattern was satisfactory. The same was observed by Cnop et al.33 in students at public and private schools: irregular meal habits were associated with overweight. In that connection, it was observed in this study that missing the main meals (breakfast, lunch and dinner) – and not just breakfast – may be related to overweight and obesity.
The increase found in this study, in eating a snack every day instead of a traditional lunch, agrees with other authors’ reports. Teixeira et al.15 noted that a third of the 106 students at a technical school in São Paulo replaced lunch with a snack. A similar result was found by Araki et al.24 in a cross-sectional study of 71 adolescents in upper secondary schools in São Paulo, which found that 29% replaced lunch with snacks and, of these, 17% did so once or twice a week. A study by Leal et al.23 with 228 adolescents in São Paulo found that 30.8% also replaced lunch or dinner with a snack. Replacing lunch by snacks frequently probably results from factors connected with changes in adolescents’ lifestyles, media influences34 and possibly disorganised eating habits, which may lead to main meals being eaten less often35.
Also, in the first study, lunch in the form of a traditional meal was associated with age: it was eaten every day more frequently by the younger adolescents (12 to 14.9 years old). This may perhaps be due to the influence that the family still exerts over the younger adolescents12. There was also an increase in eating a traditional meal at dinner. This may be related to the increase in eating a snack instead of lunch, resulting in less traditional food being eaten in the course of the day, leading to an increase in eating a meal at dinner to compensate for the poor daytime diet.
As already seen in the literature, girls ate the main meals less frequently than boys, corroborating the findings of Maia et al.11, in which unhealthy meal patterns were associated with the female adolescents. Similarly, Teixeira et al.15 observed that more girls were in the habit of replacing meals by snacks. Vieira et al.36 observed that missing dinner was also about three times more prevalent among the girls.
Unsatisfactory meal patterns were also more frequent among the girls in 2005 and that association continued in 2010, although it was not significant (p = 0.06). This may be related to the fact that girls show more concern with their bodies, with body image and losing weight than boys37, particularly in early adolescence. As a result of that excessive concern, they introduce inappropriate weight control practices, which may be even more harmful to health38. Also notable is that missing one or more meals may be harmful and lead to excessive eating at other meals or to compulsive eating39,40.
In this study, no significant associations were found between meal frequency and the sociodemographic variables skin colour, income and schooling. However, that investigation is justified, given that the social and economic status of the population of this area is at odds with the wealth generated in the municipality, underlining the unequal distribution of income and access to goods and services as a result of social exclusion. That situation may undermine diet28 and may result in unfavourable health outcomes for adolescents residing in that municipality.
The findings of this study should be evaluated in view of its limitations and strong points. As it was conducted on the basis of two cross-sectional studies, it could not determine causal relations in the associations between the study variables. It is believed that future longitudinal studies will contribute to clarifying those associations. Another limitation is that the nutrient composition of the snacks used to replace meals was not investigated and thus it could not be determined whether or not these were healthy alternatives. One of the study’s strong points is that it evaluated the change in meal frequency over time. Another differential in comparison other studies on this subject among adolescents was that it evaluated frequency of all meals, and not just breakfast. The fact that this assessment was conducted in the context of a socially highly vulnerable population is another strong point, because there are few studies in such contexts.
It was concluded that replacing a traditional lunch with a snack every day increased over the five-year period, as did eating a traditional dinner. Also, eating breakfast every day was associated with weight classification at both points in the study: overweight adolescents ate breakfast less frequently. These findings show the adolescents’ need for guidance on the health risks of missing meals, as well as more encouragement for eating regular meals, so as to prevent their nutritional profile from deteriorating and avert the risks attendant on those alterations.
Conflict of interests: nothing to declare.
Funding: Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq (503139/ 2003-3 e 476344/2008-5) and Instituto Nacional de Câncer.
Research ethics committee identification/approval number: 2005 (IMS, record CEP-IMS No. 02/2004); 2010 (IESC, opinion 73/ 2009, process 01/ 2009).
Rebecca de Almeida Maravalhas participated in the study conception, statistical analyses and drafting of the article; Danilo Dias Santana participated in the study conception, statistical analyses and drafting of the article; Rosana Salles-Costa participated in the study conception and final drafting of the article; Gloria Valeria da Veiga participated in the study conception, statistical analyses and final drafting of the article.
References
1. ALFaris NA, Al-Tamimi JZ, Al-Jobair MO, Al-Shwaiyat NM. Trends of fast food consumption among adolescent and Young adult Saudi girls living in Riyadh. Food Nutr Res 2015;59:26488.
2. Coelho SE, Gubert MB. Insegurança alimentar e sua associação com consumo de alimentos regionais brasileiros. Rev Nutr 2015;28:555-567.
3. Assumpção D, Barros M, Fisberg R, Carandina L, Goldbaum M, Cesar C. Qualidade da dieta de adolescentes: estudo de base populacional em Campinas, SP. Rev bras Epidemiol 2012;15:605-616.
4. Silva D, Lyra CO, Lima S. Padrões alimentares de adolescentes e associação com fatores de risco cardiovascular: uma revisão sistemática. Ciênc saúde coletiva 2016;21:1181-1196.
5. WHO – World Health Organization. Child and adolescent health and development: progress report 2009: highlights. Genebra: World Health Organization; 2010. p. 16-27.
6. Swinburn BA, Kraak VI, Allender S, Atkins VJ, Baker PI, Bogard JR, et al. The Global Syndemic of Obesity, Undernutrition, and Climate Change: The Lancet Commission report 2019;393:791–846.
7. IBGE - Instituto Brasileiro de Geografia. Pesquisa de Orçamentos Familiares, 2008-2009: Antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: IBGE; 2010.
8.Brasil. Ministério da Saúde. O Diagnóstico Alimentar e Nutricional e sua importância para o enfrentamento das Doenças Crônicas Não Transmissíveis. Sistema de Vigilância Alimentar e Nutricional – Boletim Epidemiológico, 2019. Disponível em:
9. Enes CC, Camargo CM, Justino MI. Ultra-processed food consumption and obesity in adolescents. Rev Nutr 2019;32:e180170.
10. Monteiro LS, Hassan BK, Estima CCP, Souza AM, Verly Jr E, Sichieri R, et al. Consumo alimentar segundo os dias da semana – Inquérito Nacional de Alimentação, 2008-2009. Rev Saúde Publica 2017;51:93.
11. Maia EG, Silva LE, Santos MA, Barufaldi LA, Silva SU, Claro RM. Padrões alimentares, características sociodemográficas e comportamentais entre adolescentes brasileiros. Rev bras epidemiol 2018;21(Suppl 1):e180009.
12. IBGE - Instituto Brasileiro de Geografia. Pesquisa Nacional de Saúde do Escolar – PENSE 2015. Rio de Janeiro: IBGE; 2016.
13. Barufaldi LA, Abreu GA, Oliveira JS, Santos DF, Fujimori E, Vasconcelos SM et al. ERICA: prevalência de comportamentos alimentares saudáveis em adolescentes brasileiros. Rev Saúde Pública 2016;50(Suppl 1): 6s.
14. Trancoso SC, Cavalli SB, Proença RP. Café da manhã: caracterização, consumo e importância para a saúde. Rev Nutr 2010; 23(5): 859-869.
15. Teixeira AS, Philippi ST, Leal GV, Araki EL, Estima CC, Guerreiro RE. Substituição de refeições por lanches em adolescentes. Rev paul pediatr 2012;30:330-337.
16. Wate JT, Snowdon W, Millar L, Nichols M, Mavoa H, Goundar R, et al. Adolescent dietary patterns in Fiji and their relationships with standardized body mass index. Int JBehav Nutr Phys Act 2013;10:45.
17. Arora M, Nazar GP, Gupta VK, Perry CL, Reddy KS, Stigler MH. Association of breakfast intake with obesity, dietary and physical activity behavior among urban school-aged adolescents in Delhi, India: results of a cross-sectional study. BMC Public Health 2012;12:881
18. Musaiger AO, Nabag FO, Al-Mannai M. Obesity, Dietary Habits, and Sedentary Behaviors Among Adolescents in Sudan: Alarming Risk Factors for Chronic Diseases in a Poor Country. Food Nutr Bull 2016;37:65-72.
19. Storey KE, Forbes LE, Fraser SN, Spence JC, Plotnikoff RC, Raine KD, et al. Adolescent Weight Status and Related Behavioural Factors: Web Survey of Physical Activity and Nutrition. J Obes 2012;2012:342386.
20. Peters BS, Verly E Jr, Marchioni DM, Fisberg M, Martini LA. The influence of breakfast and dairy products on dietary calcium and vitamin D intake in postpubertal adolescents and young adults. J Hum Nutr Diet 2012;25:69-74.
21. Siega-Riz AM, Popkin BM, Carson T. Trends in breakfast consumption for children in the United States from 1965-1991. Am J Clin Nutr 1998;67:748S-756S.
22. Benedet J, Assis MA, Calvo MC, Andrade DF. Excesso de peso em adolescentes: explorando potenciais fatores de risco. Rev paul pediatr 2013;31:172-181.
23. Leal GV, Philippi ST, Matsudo SM, Toassa EC. Consumo alimentar e padrão de refeições de adolescentes, São Paulo, Brasil. Rev bras epidemiol 2010;13:457-467.
24. Araki EL, Philippi ST, Martinez MF, Estima CC, Leal GV, Alvarenga MS. Pattern of meals eaten by adolescents from technical schools of São Paulo, SP, Brazil. Rev paul pediatr 2011;29:164-170.
25. Estima CC, da Costa RS, Sichieri R, Pereira RA, da 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;52:735-739.
26. Santana DD, Barros EG, Costa RSD, da Veiga GV. Temporal changes in the prevalence of disordered eating behaviors among adolescents living in the metropolitan area of Rio de Janeiro, Brazil. Psychiatry Res 2017;253:64-70.
27. IBGE - Instituto Brasileiro de Geografia. Censo Demográfico 2010: Características da população e dos domicílios – Resultados do Universo. Rio de Janeiro: IBGE, 2011.
28. Salles-Costa R, Pereira RA, Vasconcellos MT, Veiga GV, Marins VM, Jardim BC, et al. Associação entre fatores socioeconômicos e insegurança alimentar: estudo de base populacional na Região Metropolitana do Rio de Janeiro, Brasil. Rev Nutr 2008; 21(Suppl):99s-109s.
29. Gordon CC, Chumlea WC, Roche AF. Stature, Recumbent Length and Weight. In: Lohman TG, Roche AF, Martorell R. Anthropometric Standardization Reference Manual. Champaign: Human Kinetics Books; 1988. p. 3-8.
30. WHO – World Health Organization. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ 2007;85:660-667.
31. Altman DG, Bland JM. Interaction revisited: the difference between two estimates. BMJ (Clinical research ed) 2003;326:219.
32. Lopez-Legarrea P, Olivares PR, Almonacid-Fierro A, Gomez-Campos R, Cossio-Bolaños M, Garcia-Rubio J. Association between dietary habits and the presence of overweight/obesity in a sample of 21,385 Chilean adolescents. Nutr Hosp 2015;31:2088-2094.
33. Cnop ML, Monteiro LS, Rodrigues PR, Estima CC, Veiga GV, 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;31:35-47.
34. Toral N, Conti MA, Slater B. Healthy eating according to teenagers: perceptions, barriers, and expected characteristics of teaching materials. Cad Saude Publica 2009;25:2386-2394.
35. Matheson BE, Tanofsky-Kraff M, Shafer-Berger S, Sedaka NM, Mooreville M, Reina SA, et al. Eating patterns in youth with and without loss of control eating. Int J Eat Disord 2012;45:957-961.
36. Vieira VC, Priore SE, Ribeiro SM, Franceschini SC. Alterações no padrão alimentar de adolescentes com adequação pôndero-estatural e elevado percentual de gordura corporal. Rev Bras Saude Mater Infant 2005;5:93-102.
37. Quiles-Marcos Y, Balaguer-Solá I, Pamies-Aubalat L, Quiles-Sebastián MJ, Marzo-Campos JC, Rodríguez-Marín J. Eating habits, physical activity, consumption of substances and eating disorders in adolescents. Span J Psychol 2011;14:712-723.
38. Rodgers RF, McLean SA, Marques M, Dunstan CJ, Paxton SJ.Trajectories of Body Dissatisfaction and Dietary Restriction in Early Adolescent Girls: A Latent Class Growth Analysis.J Youth Adolesc 2016;45:1664-1677.
39. Silva DCA, Frazão IS, Osório MM, Vasconcelos MGL. Percepção de adolescentes sobre a prática de alimentação saudável. Ciência & Saúde Coletiva 2015;20:3299-3308.
40. Vale AMO, Kerr LRS, Bosi MLM. Comportamentos de risco para transtornos do comportamento alimentar entre adolescentes do sexo female de diferentes estratos sociais do Nordeste do Brasil. Ciência & Saúde Coletiva 2011;16:121-132.