Abstract
Background
The Food Guide for the Brazilian Population relies on natural or minimally processed foods mainly of plant origin such as beans and rice with low oil, salt, and sugar content and limited consumption of ultraprocessed foods. Reduction of ultraprocessed foods improves diet quality and energy consumption.
Objective
The goal of this study is to evaluate the effectiveness of an intervention for the treatment of obesity in children, with counseling based on the Brazilian Food Guide plus control of total energy intake.
Methods
A parallel, randomized clinical trial will include children aged 7 to 12 years. Randomization will be performed in blocks of 10 individuals using computer-generated random sequence numbers. Both the control and intervention groups will participate in 6 standardized educational activities based on the 10 steps of the Brazilian Food Guide. These activities will be conducted at the University Hospital Toy Library, located in the pediatric outpatient clinic. For the intervention group, in addition to the educational activities, an individualized food plan based on the nutritional recommendations of the Brazilian Society of Pediatrics will be prescribed and discussed with the mothers and fathers. The primary outcome of the study will be variations in body mass index, and secondary outcomes will include analysis of insulin resistance, blood pressure, body fat percentage, and waist and neck circumference.
Results
This project was funded by the National Council for Scientific and Technological Development in December 2017 (grant no 408333/2017-0). Recruitment began in August 2018 and by September 2019, we had enrolled the 101 participants. In addition to the patients referred by the national system of regulation, recruitment was made by medical outpatient referral and external indication. This is an ongoing study. We expect the results to be published in November 2020.
Conclusions
At the end of the project, in case of a positive result, a protocol for the treatment of obesity based on the Brazilian Food Guide will be proposed to the Unified Health System. A successful method to reduce childhood obesity is expected.
Trial Registration
Brazilian Registry of Clinical Trials RBR-3st5sn; http://www.ensaiosclinicos.gov.br/rg/RBR-3st5sn
International Registered Report Identifier (IRRID)
DERR1-10.2196/16170
Keywords: pediatric obesity, clinical trial, food guide
Introduction
The global prevalence of excessive weight among children aged 5 years and younger, which was 42 million in 2013, is expected to increase to 70 million in 2025 [1,2]. In Brazil, the increase in the prevalence of obesity over the past few decades has been higher among children aged 5 to 9 years compared with adolescents and adults, with an increase of approximately 6 times in the period from 1974 to 2009 [3]. During this period, Brazilian adolescents’ diets were low in vegetables and fruits with a high intake of sodium-rich food, sweets, and soft drinks [4-6].
Obesity before the onset of puberty increases the risk of adult type 2 diabetes, particularly if it continues until puberty or even later [7], indicating a window of opportunity to reduce obesity and related diseases later in life.
The World Health Organization (WHO) recommends interventions to control obesity in childhood. Accordingly, in 2014, the World Health Assembly adopted the Global Action Plan for the Prevention and Control of Noncommunicable Disease 2013-2020, which includes reducing global obesity rates among children, adolescents, and adults [8].
The 2014 Food Guide for the Brazilian Population [9] is a strategy for the implementation of the Adequate and Healthy Food promotion guideline that integrates the National Food and Nutrition Policy. The guide is intended for the population aged 2 years and older and classifies foods based on the degree of industrial processing. This classification, called the NOVA food classification system, comprises four groups: (1) unprocessed or minimally processed foods, (2) culinary ingredients, (3) processed foods, and (4) ultraprocessed foods [10,11].
High consumption of ultraprocessed foods has been associated with obesity, diabetes, and cardiovascular disease in different age groups [12-16]. Ultraprocessed foods are more energy-dense and contain higher levels of total fat, saturated fat, sugar, and salt and lower levels of protein and dietary fiber in comparison with unprocessed or minimally processed foods. In addition, they stimulate excessive consumption because of hyperpalatability, large portion sizes, and easy consumption. Therefore, they can be consumed as snacks anytime, anywhere and are often marketed intensively and persuasively. In a randomized trial with individuals eating ad libitum, the poor quality of a diet rich in ultraprocessed foods was also associated with greater energy intake when compared with a diet very low in ultraprocessed foods [17].
Obesity prevention reviews based on the promotion of positive eating behaviors have not achieved the desired impact [18,19], and trials for the treatment of obesity in the primary care setting are effective only when they include caloric restriction and parental involvement, as shown in the available literature reviews [20]. Reduction of energy intake associated with consumption of ultraprocessed foods may be improved by combining the NOVA classification with a food plan. Accordingly, a review of interventions to increase fruit and vegetable consumption among school children found improved targeted dietary behaviors; however, there were no effects on adiposity [21], suggesting that for the treatment of obesity, the amount of food consumed is also an important aspect to be considered. Thus, the aim of this project is to compare a Food Guide for the Brazilian Population–based intervention incorporating the NOVA classification of food with and without energy intake counseling. If effective, this proposal could guide the development of clinical protocols for primary care aimed at the treatment of obesity in children, a challenge in the Brazilian public health agenda.
Methods
Design and Study Population
Parents and Professionals for Healthy Eating–Pedro Ernesto University Hospital (PAPPAS HUPE) is a nonblind randomized clinical trial for the treatment of obesity in children referred by the National Regulatory System to the pediatric nutrition clinic of a university hospital located in the metropolitan region of the city of Rio de Janeiro, Brazil. Obese children aged 7 to 12 years are eligible to participate in the study. The exclusion criteria will be children diagnosed with genetic disorders associated with obesity (congenital leptin deficiency, Down syndrome, Prader-Willi syndrome) or endocrine disorder (hypothyroidism, Cushing syndrome) and patients already under nutritional monitoring or using weight loss medications. These data will be obtained through medical records and/or a questionnaire completed by parents.
The study will employ a parallel design with 2 comparison groups (Figure 1):
Figure 1.
Consolidated Standards of Reporting Trials diagram. SISREG: Sistema Nacional de Regulação (National Regulation System).
Control group that will receive monthly nutritional guidance based on the new Food Guide for the Brazilian Population [9];
Intervention group that will receive monthly nutritional guidance based on the new Food Guide for the Brazilian Population and a home-based diet plan appropriate to the nutritional needs of the participants.
The protocol will follow the guidelines of the Consolidated Standards of Reporting Trials [22] and was registered prospectively with the Brazilian Registry of Clinical Trials [RBR-3st5sn].
Ethics Approval and Consent to Participate
The project was approved by the Research Ethics Committee of the Pedro Ernesto University Hospital (CAAE: 87593118000005259). The parent or legal guardian of the child will be informed of the need to sign a consent form and assent according to Brazilian Resolution number 466/2012 on research involving human beings from the Health Council of the Ministry of Health to authorize the information provided by the population in a study, emphasizing privacy regarding identification of the content as well as the freedom to withdraw from the research at any time.
Sample Size Calculation and Randomization Procedure
The sample size of 48 individuals per group was calculated based on a standard deviation of body mass index (BMI) equal to 3.0 and an expected difference of 1.72 BMI [23] units between the groups, considering a statistical power of 80% and significance level of 5%. We estimate that 5% of participants are likely to drop out of the study during the study follow-up period. To account for this, we have enrolled 101 participants in total.
After the recruitment phase, eligible participants will be randomly assigned to the control or intervention groups. The randomization, which is performed by the dietitian responsible for the trial, will be performed in a block of 10 subjects using a computer-generated sequence of random numbers. The allocation implementation mechanism will be numbered sequentially. Participants will be allocated to each group, and interventions will be promoted by trained nutritionists.
Intervention
Both groups will participate in 6 monthly standardized educational activities based on the 10 steps of the Food Guide for the Brazilian Population, which will be carried out in the Hospital Toy Library. Recreational materials, audiovisual resources, and pedagogical support necessary to carry out the proposed educational practice, already available, are based on the Activity Notebook–Promotion of Adequate and Healthy Food–Infant Education, developed by the Ministry of Health in partnership with the University of the State of Rio de Janeiro for teachers and health professionals (Table 1) [24]. Activities will be conducted in groups of 10 children. To avoid contamination, activities for the control and intervention groups will be conducted on alternate days.
Table 1.
Description and objectives of the interventions.
| Intervention | Description | Purpose of the activity |
| From food to meals |
|
|
| Fat, salt, and sugar |
|
|
| What a happy time |
|
|
| Going shopping |
|
|
| There is a child in the kitchen |
|
|
| What do you have to eat and drink around here? |
|
|
Educational activities will also be held with parents addressing the same topics as those covered in the children’s workshops. Advice will include changes in family behavior related to food choices and purchases.
After the group activities, individual family consultations for the control and intervention groups will be held. In the control group, the counseling will reinforce lessons learned in educational activities, focusing on food quality. In the intervention group, a food plan will be prescribed for each participant based on nutritional recommendations of the Federal Council of Nutritionists and Brazilian Society of Pediatrics [25,26]. The plan will be reviewed monthly to match energy recommendations and weight change observed in the previous month.
In order to reduce follow-up losses and increase adherence to the study protocol, a telephone call in the week after the appointment will be made with those responsible for the children to evaluate potential difficulties in adhering to the guidelines provided. Those reporting difficulties in participating will be contacted weekly. This intervention description follows the template for the intervention description and replication checklist and guide [27].
Data Collection
Those responsible for data collection will be trained to ensure a high quality of assessment. This training will be conducted with the objective of standardizing the measurement of data and ensuring reliability.
Outcomes
The primary outcome of the study will be variations in BMI. The following secondary outcomes will be investigated: waist-to-height ratio (WHR), waist circumference (WC), neck circumference (NC), blood pressure, body fat percentage (BF%), and biochemical analysis of serum total cholesterol, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, triglycerides, glucose, and insulin resistance. Insulin resistance will be determined at the baseline and endpoint while the other biochemical analyses will be conducted at the baseline, midpoint, and endpoint. The remaining variables will be assessed at every consultation.
Body weight and BF% will be measured using a portable electronic scale (Tanita BC-558). Height will be checked in duplicate using an AlturaExata portable anthropometer (Belo Horizonte). Both measures will be collected with the children barefoot, wearing light clothes, with the arms extended from the side of the body, positioned by the Frankfurt horizontal plane [28,29]. To reduce potential BF% measurement errors, parents and children will be provided with guidelines regarding the intake of liquids, coffee, alcoholic beverages, laxatives, and diuretics prior to the anthropometric evaluation.
To measure WC and NC, a flexible and inelastic metric tape measuring 150 cm and a variation of 0.1 mm will be used. The WC will be measured with the tape placed horizontally at the midpoint between the lower edge of the last rib and the iliac crest [30]. The measurements will be performed with the tape firmly on the skin, without compression of the tissues. The evaluation will be made while standing with the abdomen relaxed and the arms extended out from the body. The WHR will be obtained by the quotient between WC and height, both in centimeters. The NC will be measured at the average neck height.
The classification of nutritional status will be based on BMI values for age, in z-scores, according to sex, based on the new curves proposed by WHO. BMI for age will be calculated using AnthroPlus 2007 software (WHO) [31], and the values obtained will be classified according to the recommended cutoff points for children aged 5 to 19 years: low weight (BMI for age <–2 z-scores), eutrophic (BMI for age ≥–2 and ≤+1 z-scores), overweight (BMI for age >+1 and ≤+2 z-scores), obese (BMI for age >+2 and <+3 z-scores), and severely obese (BMI for age >+3 z-scores). This classification will be performed at the baseline to confirm the inclusion criteria.
Blood pressure will be measured with the HEM-742 blood pressure monitor (Omron Healthcare Inc.), previously validated for use in adolescents [32]. Before taking the measure, it will be verified that the children do not have full bladders, have not taken medication and/or had coffee, and have not eaten up to 30 minutes before the procedure or engaged in physical exercise up to 1 hour before. The measurement will be performed on the right arm, at the level of the heart, supported on a table with a flat surface, with the palm facing up and the elbow slightly flexed. The individual should be seated with feet in contact with the floor or on a flat surface and remain at rest in that position for 5 minutes before the measurement [33]. Two measurements will be performed, with a minimum interval of 2 minutes, and the average of 2 measurements will be calculated. If the difference between the 2 measurements is equal to or greater than 5 mm Hg, a third measure will be taken.
Biochemical analysis of serum total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, and glucose will be determined at the baseline, midpoint, and endpoint. The biochemical analysis will be performed at the hospital’s central laboratory of clinical analyses. After 12 hours of fasting, 10 ml of blood from the left ventricle vein will be collected in vacutainer tubes. The samples will be divided into aliquots, placed in Eppendorf-type tubes, and stored at –80°C until use, when they will be processed and the serum analyzed in a biochemical analyzer (Cobas Integra 400 Plus/Cobas 6000, F Hoffman–La Roche Ltd) with a Roche cassette. Fasting glycemia will be determined by hexokinase, total cholesterol and triglycerides by the colorimetric method, and HDL cholesterol by the homogeneous method (F Hoffman–La Roche Ltd). LDL cholesterol will be calculated by the Friedewald et al [34] equation, recommended by the American Academy of Pediatrics: LDL cholesterol = total cholesterol – HDL cholesterol + triglyceride/5. Insulin will be measured in the hospital’s endocrinology laboratory with the Elecsys 2010 and Modular Analytics E170/Cobas (F Hoffman–La Roche Ltd) by means of a kit that uses the immunoassay method of electrochemiluminescence. The cutoff points used for the evaluation of the serum levels of total cholesterol and fractions will follow the recommendation of the Brazilian Guideline for Dyslipidemias and Prevention of Atherosclerosis [35], and for fasting glycemia the parameter will be that recommended by the American Diabetes Association [36]. Undesirable levels of total cholesterol and LDL cholesterol values equal to or above 170 mg/dL and 110 mg/dL, respectively, and glucose above 100 mg/dL will be considered.
Insulin resistance will be assessed by means of the homeostatic model assessment–insulin resistance (HOMA-IR) index (HOMA-IR = fasting glycemia [mmol/L] × fasting insulinemia [μU/L]/22.5). Values >2.5 will be indicative of insulin resistance.
Adherence to Intervention
Data regarding food consumption will be collected at each consultation by means of a 24-hour food recall using netbooks equipped with a multiple-pass method–based computer program for monitoring adolescent food consumption [37].
Other Variables Investigated
At baseline, during the individual consultations, a questionnaire covering issues related to socioeconomic, demographic, and behavioral factors will be administered to the adults responsible for the children. Children will be asked about pubertal stage through the Tanner scale [38,39], sedentary activities (video games, television, and computer time), and physical activity using a validated questionnaire including 6 questions about frequency and duration of physical activities [40].
Family socioeconomic status will be evaluated using the Brazilian Economic Classification Criterion [41]. The number of sleeping hours will be ascertained from 3 questions based on 2 large epidemiological studies [42,43]: How many hours on average do you sleep on a normal night? Do you sleep fewer hours per night than you would like? How many hours would you like to sleep to feel like you have recovered? Sleep deprivation will be estimated from the difference between the usual hours of sleep and the hours of sleep the participant feels would facilitate recovery.
Statistical Analysis
The rate of change of primary and secondary outcomes over time will be tested by intention-to-treat analysis based on mixed-effects models, which allow for consideration of incomplete follow-up data and take into account the correlation of repeated measures. Adequacy of the models will be checked graphically through the diagnosis of the residues [44]. The models will be adjusted for sexual maturation. For the analyses, SAS software version 9.4 (SAS Institute Inc) will be used.
Results
This project was funded by the National Council for Scientific and Technological Development (CNPQ) in December 2017. The study protocol has undergone peer review by the funding body, which was not involved in the design of the study; collection, analysis, and interpretation of data; or in writing the manuscript.
Recruitment began in August 2018 and by September 2019, we had enrolled the 101 participants. In addition to the patients referred by the national system of regulation, recruitment was made by medical outpatient referral and external indication. This is an ongoing study. We expect the results to be published in November 2020.
Discussion
The PAPPAS HUPE randomized clinical trial will be the first to provide data on the effectiveness of the recommendations of the Food Guide for the Brazilian Population on the treatment of obesity in children.
The possibility of incorporating NOVA food classification based on the degree of food processing for the treatment of obesity is unprecedented and timely, since this approach has been pointed out as a promising vehicle of nutritional education and also due to the high consumption of these products by Brazilian children.
The inclusion of parents in the activities is a strong point of the study. This approach can contribute to increased adherence to the protocol by leading to changes in family eating habits [45].
A possible limitation of this study is the difficulty in obtaining accurate measurements of food consumption according to the NOVA classification since it requires details about the degree of food processing. There is also a lack of consensus regarding the best data collection method because this is a recent technique. However, we will use the 24-hour recall, which is the standard collection method in food consumption assessment.
An intervention program combining quantity and quality approaches could be more efficient in the fight against obesity, especially in late childhood, when they acquire autonomy in relation to their diet. Moreover, we expect that the proposed nutritional plan would be able to promote weight loss without compromising growth and development. If effective, this proposal could guide the development of clinical protocols for primary care aimed at the treatment of obesity in children, an emergency challenge in the Brazilian and global public health agenda.
Acknowledgments
We are grateful to all patients and parents who are participating in the study. We thank the Hospital Toy Library and Pediatric Ambulatory of HUPE for the partnership in this project. This work was supported by the National Counsel of Technological and Scientific Development (CNPQ; grant number 408333/2017-0). The study protocol has undergone peer review by the funding body, which was not involved in the design of the study; collection, analysis, and interpretation of data; or in writing the manuscript.
Abbreviations
- BF%
body fat percentage
- BMI
body mass index
- CNPQ
National Council for Scientific and Technological Development
- HDL cholesterol
high-density lipoprotein cholesterol
- HOMA-IR
homeostatic model assessment–insulin resistance
- LDL cholesterol
low-density lipoprotein cholesterol
- NC
neck circumference
- PAPPAS HUPE
Parents and Professionals for Healthy Eating–Pedro Ernesto University Hospital
- SISREG
Sistema Nacional de Regulação
- WC
waist circumference
- WHO
World Health Organization
- WHR
waist-to-height ratio
Appendix
Previous peer-review report (Portuguese): CNPQ (Conselho Nacional de Desenvolvimento Científico e Tecnológico).
Previous peer-review report (English): CNPQ (National Council for Scientific and Technological Development).
SPIRIT checklist.
Footnotes
Authors' Contributions: DBC, RS, JMB, and SAR conceptualized the study. DBC acquired funding for the study. DBC, RS, JMB, SAR, IRRDC, BKH, and ASDDO developed of the intervention content. DBC, RS, JMB, SAR, IRRDC, BKH, and ASDDO wrote the original draft. RS, SAR, EVJ, RAP, IRRDC, BKH, ASDDO, ESM, and DBC reviewed and edited the manuscript. JMB was responsible for data collection. All authors read and approved the final version of the manuscript.
Conflicts of Interest: None declared.
References
- 1.Lobstein T, Jackson-Leach R, Moodie ML, Hall KD, Gortmaker SL, Swinburn BA, James WPT, Wang Y, McPherson K. Child and adolescent obesity: part of a bigger picture. Lancet. 2015 Jun 20;385(9986):2510–2520. doi: 10.1016/S0140-6736(14)61746-3. http://europepmc.org/abstract/MED/25703114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.World Health Organization Commission on Ending Childhood Obesity: facts and figures on childhood obesity. 2014. [2019-11-20]. http://apps.who.int/iris/bitstream/10665/204176/1/9789241510066_eng.pdf?ua=1.
- 3.Instituto Brasileiro De Geografia E Estatística . Pesquisa de Orçamentos Familiares 2008-2009: antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: Instituto Brasileiro De Geografia E Estatística; 2009. [2019-11-20]. http://biblioteca.ibge.gov.br/index.php/biblioteca-catalogo?view=detalhes&id=245419. [Google Scholar]
- 4.Souza ADM, Barufaldi LA, Abreu GDA, Giannini DT, de Oliveira CL, dos Santos MM, Leal VS, Vasconcelos FDAG. ERICA: intake of macro and micronutrients of Brazilian adolescents. Rev Saude Publica. 2016 Feb;50((Suppl 1)):1s–15s. doi: 10.1590/S01518-8787.2016050006698. http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102016000200309&lng=en&nrm=iso&tlng=en. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Tavares LF, Castro IRRD, Levy RB, Cardoso LDO, Claro RM. Dietary patterns of Brazilian adolescents: results of the Brazilian National School-Based Health Survey (PeNSE) Cad Saude Publica. 2014 Dec;30(12):2679–2690. doi: 10.1590/0102-311X00016814. http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2014001202679&lng=en&nrm=iso&tlng=en. [DOI] [PubMed] [Google Scholar]
- 6.Veiga GVD, Costa RSD, Araújo MC, Souza ADM, Bezerra IN, Barbosa FDS, Sichieri R, Pereira RA. Inadequação do consumo de nutrientes entre adolescentes brasileiros. Rev Saúde Pública. 2013 Feb;47(Suppl 1):212s–221s. doi: 10.1590/S0034-89102013000700007. [DOI] [PubMed] [Google Scholar]
- 7.Bjerregaard LG, Jensen BW, Ängquist L, Osler M, Sørensen TIA, Baker JL. Change in overweight from childhood to early adulthood and risk of type 2 diabetes. N Engl J Med. 2018 Apr 05;378(14):1302–1312. doi: 10.1056/NEJMoa1713231. [DOI] [PubMed] [Google Scholar]
- 8.World Health Organization Global action plan for the prevention and control of noncommunicable disease 2013-2020. [2019-11-20]. https://www.who.int/nmh/events/ncd_action_plan/en/
- 9.Ministério da Saúde, Secretaria de Atenção à Saúde, Departamento de Atenção Básica . Guia Alimentar Para a População Brasileira, 2nd Edition. Sao Paulo: Instituto Polis; 2014. [Google Scholar]
- 10.Monteiro CA, Cannon G, Levy R, Moubarac JC, Jaime P, Martins AP, Canella D, Louzado M, Parra D. NOVA: the star shines bright. World Nutrition. 2016;7(1-3):28–38. [Google Scholar]
- 11.Monteiro CA, Cannon G, Moubarac JC, Levy RB, Louzada MLC, Jaime PC. The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr. 2018 Jan;21(1):5–17. doi: 10.1017/S1368980017000234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Tavares L, Fonseca S, Garcia Rosa M, Yokoo E. Relationship between ultra-processed foods and metabolic syndrome in adolescents from a Brazilian Family Doctor Program. Public Health Nutr. 2012 Jan;15(1):82–87. doi: 10.1017/S1368980011001571. [DOI] [PubMed] [Google Scholar]
- 13.Canella D, Levy R, Martins A, Claro R, Moubarac J, Baraldi L, Cannon G, Monteiro C. Ultra-processed food products and obesity in Brazilian households (2008-2009) PLoS One. 2014;9(3):e92752. doi: 10.1371/journal.pone.0092752. http://dx.plos.org/10.1371/journal.pone.0092752. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bielemann R, Motta J, Minten G, Horta B, Gigante D. Consumption of ultra-processed foods and their impact on the diet of young adults. Rev Saude Publica. 2015;49:28. doi: 10.1590/s0034-8910.2015049005572. http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102015000100221&lng=en&nrm=iso&tlng=en. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Moubarac J, Martins A, Claro R, Levy R, Cannon G, Monteiro C. Consumption of ultra-processed foods and likely impact on human health: evidence from Canada. Public Health Nutr. 2013 Dec;16(12):2240–2248. doi: 10.1017/S1368980012005009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Rauber F, Campagnolo PDB, Hoffman DJ, Vitolo MR. Consumption of ultra-processed food products and its effects on children's lipid profiles: a longitudinal study. Nutr Metab Cardiovasc Dis. 2015 Jan;25(1):116–122. doi: 10.1016/j.numecd.2014.08.001. [DOI] [PubMed] [Google Scholar]
- 17.Hall K, Ayuketah A, Brychta R, Cai H, Cassimatis T, Chen K, Chung S, Costa E, Courville A, Darcey V, Fletcher L, Forde C, Gharib A, Guo J, Howard R, Joseph P, McGehee S, Ouwerkerk R, Raisinger K, Rozga I, Stagliano M, Walter M, Walter P, Yang S, Zhou M. Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake. Cell Metab. 2019 Jul 02;30(1):67–77. doi: 10.1016/j.cmet.2019.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kropski J, Keckley P, Jensen G. School-based obesity prevention programs: an evidence-based review. Obesity (Silver Spring) 2008 May;16(5):1009–1018. doi: 10.1038/oby.2008.29. doi: 10.1038/oby.2008.29. [DOI] [PubMed] [Google Scholar]
- 19.Sichieri R, Souza RAD. Estratégias para prevenção da obesidade em crianças e adolescentes. Cad. Saúde Pública. 2008;24(Suppl 2):s209–s223. doi: 10.1590/S0102-311X2008001400002. [DOI] [PubMed] [Google Scholar]
- 20.Seburg EM, Olson-Bullis BA, Bredeson DM, Hayes MG, Sherwood NE. A review of primary care-based childhood obesity prevention and treatment interventions. Curr Obes Rep. 2015 Jun;4(2):157–173. doi: 10.1007/s13679-015-0160-0. http://europepmc.org/abstract/MED/26213643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Micha R, Karageorgou D, Bakogianni I, Trichia E, Whitsel LP, Story M, Peñalvo JL, Mozaffarian D. Effectiveness of school food environment policies on children's dietary behaviors: a systematic review and meta-analysis. PLoS One. 2018;13(3):e0194555. doi: 10.1371/journal.pone.0194555. http://dx.plos.org/10.1371/journal.pone.0194555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Moher D, Hopewell S, Schulz K, Montori V, Gotzsche P, Devereaux P, Elbourne D, Egger M, Altman D. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ. 2010 Mar 23;340:869–977. doi: 10.1136/bmj.C869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ho M, Garnett SP, Baur L, Burrows T, Stewart L, Neve M, Collins C. Effectiveness of lifestyle interventions in child obesity: systematic review with meta-analysis. Pediatrics. 2012 Dec;130(6):e1647–e1671. doi: 10.1542/peds.2012-1176. http://pediatrics.aappublications.org/cgi/pmidlookup?view=long&pmid=23166346. [DOI] [PubMed] [Google Scholar]
- 24.Ministério da Saúde . Caderno de Atividades: Promoção da Alimentação Adequada e Saudável Educação Infantil. Brasília: Universidade do Estado do Rio de Janeiro; 2018. http://189.28.128.100/dab/docs/portaldab/publicacoes/caderno_atividades_ensino_fundamental_I.pdf. [Google Scholar]
- 25.Institute of Medicine . DRI Dietary Reference Intakes: Applications in Dietary Assessment. Washington: National Academy Press; 2001. [Google Scholar]
- 26.Departamento Científico de Nutrologia . Manual de Orientação para a alimentação do lactente, do pré escolar, do escolar, do adolescente e na escola, n. 3° edição. Rio de Janeiro: Sociedade Brasileira de Pediatria; 2012. https://www.sbp.com.br/fileadmin/user_upload/pdfs/14617a-PDManualNutrologia-Alimentacao.pdf. [Google Scholar]
- 27.Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, Altman DG, Barbour V, Macdonald H, Johnston M, Lamb SE, Dixon-Woods M, McCulloch P, Wyatt JC, Chan A, Michie S. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014;348:g1687. doi: 10.1136/bmj.g1687. http://www.bmj.com/cgi/pmidlookup?view=long&pmid=24609605. [DOI] [PubMed] [Google Scholar]
- 28.Gordon C, Chumlea W, Roche A. Stature, recumbent length and weight. In: Lohman TG, Roche AF, Martorel R, editors. Anthropometric Standardization Reference Manual. 1st Edition. Champaign: Human Kinetics Books; 1988. pp. 3–8. [Google Scholar]
- 29.Houtkooper LB, Lohman TG, Going SB, Hall MC. Validity of bioelectric impedance for body composition assessment in children. J Appl Physiol (1985) 1989 Feb;66(2):814–821. doi: 10.1152/jappl.1989.66.2.814. [DOI] [PubMed] [Google Scholar]
- 30.Callaway CW, Chumlea WC, Bouchard C, Himes JH, Lohman TG, Martin AD. Circumferences. In: Lohman TG, Roche AF, Martorell R, editors. Anthropometric Standardization Reference Manual. Champaign: Human Kinetics Books; 1991. [Google Scholar]
- 31.de Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007 Sep;85(9):660–667. doi: 10.2471/blt.07.043497. http://europepmc.org/abstract/MED/18026621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Christofaro DGD, Fernandes RA, Gerage AM, Alves MJ, Polito MD, Oliveira ARD. Validação do monitor de medida de pressão arterial Omron HEM 742 em adolescentes. Arq Bras Cardiol. 2009 Jan;92(1):10–15. doi: 10.1590/S0066-782X2009000100003. [DOI] [PubMed] [Google Scholar]
- 33.Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN, Jones DW, Kurtz T, Sheps SG, Roccella EJ. Recommendations for blood pressure measurement in humans and experimental animals: part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Circulation. 2005 Feb 8;111(5):697–716. doi: 10.1161/01.CIR.0000154900.76284.F6. http://circ.ahajournals.org/cgi/pmidlookup?view=long&pmid=15699287. [DOI] [PubMed] [Google Scholar]
- 34.Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972 Jun;18(6):499–502. http://www.clinchem.org/cgi/pmidlookup?view=long&pmid=4337382. [PubMed] [Google Scholar]
- 35.Faludi AA, Izar MC, Saraiva JF, Chacra AP, Bianco HT, Afiune A, Bertolami A, Pereira AC, Lottenberg AM, Sposito AC, Chagas AC, Casella A, Simão AF, Alencar AC, Caramelli B, Magalhães CC, Negrão CE, Ferreira CE, Scherr C, Feio CM, Kovacs C, Araújo DB, Magnoni D, Calderaro D, Gualandro DM, Mello EP, Alexandre ER, Sato EI, Moriguchi EH, Rached FH, Santos FC, Cesena FH, Fonseca FA, Fonseca HA, Xavier HT, Mota ICP, Giuliano ID, Issa JS, Diament J, Pesquero JB, Santos JE, Faria JR, Melo JX, Kato JT, Torres KP, Bertolami MC, Assad MH, Miname MH, Scartezini M, Forti NA, Coelho OR, Maranhão RC, Santos RD, Alves RJ, Cassani RL, Betti RT, Carvalho TD, Martinez TL, Giraldez VZ, Salgado W. Atualização da diretriz Brasileira de dislipidemias e prevenção da aterosclerose. Arq Bras Cardiol. 2017 Jul;109(2Supl 1):1–76. doi: 10.5935/abc.20170121. http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0066-782X2017001100001&lng=en&nrm=iso&tlng=en. [DOI] [PubMed] [Google Scholar]
- 36.American Diabetes Association Classification and diagnosis of diabetes. Diabetes Care. 2016 Jan;39(Suppl 1):S13–S22. doi: 10.2337/dc16-S005. [DOI] [PubMed] [Google Scholar]
- 37.Barufaldi LA, Abreu GD, Veiga GV, Sichieri R, Kuschnir MC, Cunha DB, Pereira RA, Bloch KV. Programa para registro de recordatório alimentar de 24 horas: aplicação no Estudo de Riscos Cardiovasculares em Adolescentes. Rev Bras Epidemiol. 2016 Jun;19(2):464–468. doi: 10.1590/1980-5497201600020020. [DOI] [PubMed] [Google Scholar]
- 38.Marshall WA, Tanner JM. Variations in pattern of pubertal changes in girls. Arch Dis Child. 1969 Jun;44(235):291–303. doi: 10.1136/adc.44.235.291. http://europepmc.org/abstract/MED/5785179. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Arch Dis Child. 1970 Feb;45(239):13–23. doi: 10.1136/adc.45.239.13. http://europepmc.org/abstract/MED/5440182. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Tavares LF, Castro IR, Cardoso LO, Levy RB, Claro RM, Oliveira AF. Validade de indicadores de atividade física e comportamento sedentário da Pesquisa Nacional de Saúde do Escolar entre adolescentes do Rio de Janeiro, Brasil. Cad Saúde Pública. 2014 Sep;30(9):1861–1874. doi: 10.1590/0102-311X00151913. [DOI] [PubMed] [Google Scholar]
- 41.Associação Brasileira de Empresas de Pesquisa Associação Brasileira de Empresas de Pesquisa. 2016. [2018-07-23]. Critério Brasil: critério de classificação econômica Brasil 2015 http://www.abep.org/criterio-brasil.
- 42.Cappuccio FP, Stranges S, Kandala N, Miller MA, Taggart FM, Kumari M, Ferrie JE, Shipley MJ, Brunner EJ, Marmot MG. Gender-specific associations of short sleep duration with prevalent and incident hypertension: the Whitehall II Study. Hypertension. 2007 Oct;50(4):693–700. doi: 10.1161/HYPERTENSIONAHA.107.095471. http://europepmc.org/abstract/MED/17785629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Gangwisch JE, Heymsfield SB, Boden-Albala B, Buijs RM, Kreier F, Pickering TG, Rundle AG, Zammit GK, Malaspina D. Short sleep duration as a risk factor for hypertension: analyses of the first National Health and Nutrition Examination Survey. Hypertension. 2006 May;47(5):833–839. doi: 10.1161/01.HYP.0000217362.34748.e0. [DOI] [PubMed] [Google Scholar]
- 44.Hardin J, Hilbe JM. Generalized Estimating Equations. Boca Raton: Chapman and Hall/CRC; 2002. [Google Scholar]
- 45.Marsh S, Gerritsen S, Taylor R, Galland B, Parag V, Maddison R. Promotion of family routines and positive parent-child interactions for obesity prevention: protocol for the 3 pillars study randomized controlled trial. JMIR Res Protoc. 2019 Apr 02;8(4):e12792. doi: 10.2196/12792. https://www.researchprotocols.org/2019/4/e12792/ [DOI] [PMC free article] [PubMed] [Google Scholar]
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Previous peer-review report (Portuguese): CNPQ (Conselho Nacional de Desenvolvimento Científico e Tecnológico).
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