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Feeding practices of low birth weight Brazilian infants and associated factors

ABSTRACT

OBJECTIVE

To characterize complementary feeding and to analyze the influence of individual and contextual factors on dietary practices of low birth weight infants.

METHODS

This cross-sectional study included 2,370 low birth weight infants aged 6 to 12 months included in the Breastfeeding Prevalence Survey in Brazilian Municipalities (2008), which covered the 26 state capitals, the Federal District and 37 municipalities. Dietary practices were assessed using two indicators: I) dietary diversity, characterized by the consumption of five food groups: meat, beans, vegetables, fruit and milk; II) consumption of ultra-processed foods, characterized by the ingestion of at least one of the following foods on the day prior to the survey: soda, or processed juice, or cookie, cracker and crisps. The covariates of interest were the socioeconomic characteristics of infants, mothers and health services. The contextual factor was the “municipal prevalence of child undernutrition.” The individualized effect of the study factors on outcomes was assessed by multilevel Poisson regression.

RESULTS

Approximately 59% of infants consumed ultra-processed foods, while 29% had diverse feeding. Mothers living in municipalities with child undernutrition prevalence below 10%, with higher education and working outside the home were more likely to offer dietary diversity. Consumption of ultra-processed foods was higher among infants living in municipalities with child undernutrition prevalence below 10%, whose mothers were younger and multiparous.

CONCLUSIONS

The low prevalence of diverse feeding combined with the high prevalence of ultra-processed food consumption characterizes the low quality of feeding of low birth weight Brazilian infants. Individual and contextual factors impact the feeding quality of this population, suggesting the need for effective strategies to increase the consumption of fresh and minimally processed foods and decrease the consumption of ultra-processed foods by this vulnerable population.

Infant, Low Birth Weight; Infant Food; Infant Nutrition; Diet, Food, and Nutrition; Ultraprocessed Food

RESUMO

OBJETIVO

Caracterizar a alimentação complementar e analisar a influência de fatores individuais e contextuais sobre práticas alimentares de lactentes que nasceram com baixo peso.

MÉTODOS

Este estudo transversal incluiu 2.370 lactentes nascidos com baixo peso e com idade entre 6 e 12 meses incluídos na Pesquisa de Prevalência de Aleitamento Materno em Municípios Brasileiros (2008), que abrangeu as 26 capitais, o Distrito Federal e mais 37 municípios. As práticas alimentares foram avaliadas usando dois indicadores: i) diversidade alimentar, caracterizada pelo consumo dos cinco grupos alimentares: carnes, feijão, legumes e verduras, frutas e leite; ii) consumo de alimentos ultraprocessados, caracterizado pela ingestão de pelo menos um dos seguintes alimentos no dia anterior à pesquisa: refrigerante, ou suco industrializado, ou bolacha, biscoito e salgadinho. As covariáveis de interesse corresponderam às características socioeconômicas, dos lactentes, das mães e dos serviços de saúde. O fator contextual foi a “prevalência municipal de desnutrição infantil”. O efeito individualizado dos fatores de estudo sobre os desfechos foi avaliado mediante regressão de Poisson com estrutura multinível.

RESULTADOS

Aproximadamente 59% dos lactentes consumiram alimentos ultraprocessados, enquanto 29% apresentaram diversidade alimentar. Mães que residiam em municípios com prevalência de desnutrição infantil inferior a 10%, com maior nível de escolaridade e que trabalhavam fora de casa foram mais propensas a oferecer diversidade alimentar. O consumo de alimentos ultraprocessados foi maior entre lactentes residentes em municípios com prevalência de desnutrição infantil inferior a 10%, cujas mães eram mais jovens e multíparas.

CONCLUSÕES

A baixa prevalência de alimentação diversa aliada à alta prevalência do consumo de alimentos ultraprocessados caracteriza a baixa qualidade da alimentação dos lactentes brasileiros com baixo peso ao nascer. Fatores individuais e contextuais impactam a qualidade da alimentação dessa população, sugerindo a necessidade de adoção de estratégias eficazes para aumentar o consumo de alimentos in natura e minimamente processados e diminuir o consumo de alimentos ultraprocessados por esta população vulnerável.

Recém-Nascido de Baixo Peso; Alimentos Infantis; Nutrição do Lactente; Alimentos, Dieta e Nutrição; Alimentos Ultraprocessados

INTRODUCTION

Low birth weight (LBW, < 2,500 g) is considered a major global public health problem because it is associated with high morbidity and mortality, risk of poor growth and specific deficiencies, as well as rapid weight gain, cognitive problems and behavioral changes throughout life11. World Health Organization. Global Nutrition Targets 2025: low birth weight policy brief. Geneva: WHO; 2014 [citado 28 mai 2018]. Disponível em: http://www.who.int/nutrition/publications/globaltargets2025_policybrief_lbw/en/
http://www.who.int/nutrition/publication...
. Despite major advances in prenatal care in recent years, its prevalence has remained close to 8% since 2000 in Brazil, and the worldwide incidence has remained at 15% between 2008 and 2012a a UNICEF Data. Low birth weight. New York; 2019 [cited Feb 5, 2018]. Available from: https://data.unicef.org/topic/nutrition/low-birthweight/ .

LBW occurs as a consequence of prematurity (gestational age less than 37 weeks), intrauterine growth restriction (IUGR) or the combination of both, being mainly related to conditions of poverty, undernutrition and insufficient diet22. Lima JC, Oliveira Júnior GJ, Takano OA. Factors associated to fetal death in Cuiabá, Mato Grosso. Rev Bras Saude Mater Infant. 2016;16(3):353-61. https://doi.org/10.1590/1806-93042016000300008
https://doi.org/10.1590/1806-93042016000...
, 33. Rojas PFB, Carminatti APS, Hafemann F, Francisco CC. Fatores maternos preditivos de baixo peso ao nascer: um estudo caso-controle. Arq Catarin Med. 2013 [citado 28 mai 2018];42(1):68-75. Disponível em: http://www.acm.org.br/revista/pdf/artigos/1215.pdf
http://www.acm.org.br/revista/pdf/artigo...
. When combined with IUGR, LBW makes children very vulnerable to nutritional deficiencies, of both shortage and excess. Epidemiological and clinical studies in children small for gestational age have found a strong association between disorders occurring in the fetal life (nutrient scarcity) or in the early stages of extrauterine life (rapid nutritional recovery early in the postnatal life) and the onset of chronic noncommunicable diseases (CNCD) throughout life, such as obesity, hypertension, cardiovascular disease, insulin resistance, and type 2 diabetes44. Victora CG, Onis M, Hallal PC, Blössner M, Shrimpton R. Worldwide timing of growth faltering: revisiting implications for interventions. Pediatrics. 2010;125(3):e473-80. https://doi.org/10.1542/peds.2009-1519
https://doi.org/10.1542/peds.2009-1519...

5. Barker DJP. Fetal programming of coronary heart disease. Trends Endocrinol Metab. 2002;13(9):364-8. https://doi.org10.1016/S1043-2760(02)00689-6
https://doi.org10.1016/S1043-2760(02)006...
- 66. Singhal A, Lucas A. Early origins of cardiovascular disease: Is there a unifying hypothesis? Lancet. 2004;363(9421):1642-5. https://doi.org/10.1016/S0140-6736(04)16210-7
https://doi.org/10.1016/S0140-6736(04)16...
.

Although there is no consensus on the nutritional needs of LBW infants, it is known that once they reach full feeding and have adequate weight gain for hospital discharge, nutritional recommendations and health monitoring become similar to those for the general population. Thus, it is assumed that, during the first two years of life, children with LBW are exposed to the same feeding and nutrition situation of children under two years of the general Brazilian population, in a scenario marked by: early introduction of complementary feeding (CF)77. Ministério da Saúde (BR), Secretaria de Atenção à Saúde, Departamento de Ações Programáticas e Estratégicas. II Pesquisa de Prevalência de Aleitamento Materno nas Capitais Brasileiras e Distrito Federal. Brasília. DF; 2009 [citado 28 mai 2018]. (Série C. Projetos, Programas e Relatórios). Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
, low consumption of appropriate meals in consistency and texture for age, and high consumption of ultra-processed foods (UPF)77. Ministério da Saúde (BR), Secretaria de Atenção à Saúde, Departamento de Ações Programáticas e Estratégicas. II Pesquisa de Prevalência de Aleitamento Materno nas Capitais Brasileiras e Distrito Federal. Brasília. DF; 2009 [citado 28 mai 2018]. (Série C. Projetos, Programas e Relatórios). Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
. These foods are ready-to-eat industrial formulations made entirely or mostly of substances extracted from foods (oils, fats, sugar, proteins), derived from food constituents (hydrogenated fats, modified starch) or synthesized in the laboratory based on organic materials (colorants, flavorings, flavor enhancers and other additives used to alter sensory properties)88. 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;21(1):5-17. https://doi.org/10.1017/S1368980017000234
https://doi.org/10.1017/S136898001700023...
, for example, soft drinks and other sweetened beverages, stuffed cookies, crisps, instant noodles, ice cream, treats, sugary breakfast cereals, cereal bars, sausages, hamburgers (not handmade) and loaves, hamburger and hot dog buns, among others.

Promoting adequate and healthy complementary feeding has numerous benefits because: it is considered the third most effective action with the potential to prevent 6% of all under-five deaths worldwide99. Jones G, Steketee RW, Black RE, Bhutta ZA, Morris SS; Bellagio Child Survival Study Group. How many child deaths can we prevent this year? Lancet. 2003;362(9377):65-71. https://doi.org/10.1016/S0140-6736(03)13811-1
https://doi.org/10.1016/S0140-6736(03)13...
; is associated with the establishment of healthy eating habits, which are reflected in childhood1010. Lioret S, Betoko A, Forhan A, Charles MA, Heude B, Lauzon-Guillain B; EDEN Mother-Child Cohort Study Group. Dietary patterns track from infancy to preschool age: cross-sectional and longitudinal perspectives. J Nutr. 2015;145(4):775-82. https://doi.org/10.3945/jn.114.201988
https://doi.org/10.3945/jn.114.201988...
, 1111. Bielemann RM, Santos LP, Costa CS, Matijasevich A, Santos IS. Early feeding practices and consumption of ultraprocessed foods at 6 y of age: findings from the 2004 Pelotas (Brazil) Birth Cohort Study. Nutrition. 2018;47:27-32. https://doi.org/10.1016/j.nut.2017.09.012
https://doi.org/10.1016/j.nut.2017.09.01...
and adulthood1212. Carvalho CA, Fonsêca PCA, Priore SE, Franceschini SCC, Novaes JF. Consumo alimentar e adequação nutricional em crianças brasileiras: revisão sistemática. Rev Paul Pediatr. 2015;33(2):211-21. https://doi.org/10.1016/j.rpped.2015.03.002
https://doi.org/10.1016/j.rpped.2015.03....
; is among the modifiable risk factors for obesity in children1313. Blake-Lamp T, Locks L, Perkins M, Baidal JAW, Cheng ER, Taveras EM. Interventions for childhood obesity in the first 1,000 days: a systematic review. Am J Prev Med. 2016;50(6):780-9. https://doi.org/10.1016/j.amepre.2015.11.010
https://doi.org/10.1016/j.amepre.2015.11...
; helps children reach their developmental potential and become healthy adults with greater intellectual and productive capacity1414. Victora CG, Horta BL, Mola CL, Quevedo L, Pinheiro RT, Gigante DP, et al. Association between breastfeeding and intelligence, educational attainment, and income at 30 years of age: a prospective birth cohort study from Brazil. Lancet Glob Health. 2015;3(4):e199-205. https://doi.org/10.1016/S2214-109X(15)70002-1
https://doi.org/10.1016/S2214-109X(15)70...
; favors sustainable economic development and poverty reduction of a nation1515. World Health Organization; UNICEF. Global strategy for infant and young child feeding. Geneva: WHO; UNICEF; 2003 [citado 21 abr 2018]. Disponível em: https://www.who.int/nutrition/publications/infantfeeding/9241562218/en/
https://www.who.int/nutrition/publicatio...
.

Thus, it is essential to monitor whether the feeding of LBW children meets their nutritional needs and reduces the risk of chronic disease. From this perspective, the first survey called Breastfeeding Prevalence Survey (BPS) in the Brazilian Capitals and Federal District1616. Ministério da Saúde (BR), Secretaria de Políticas de Saúde. Área de Saúde da Criança. Pesquisa de Prevalência do Aleitamento Materno nas Capitais e no Distrito Federal. Brasília, DF; 2001 [citado 21 abr 2018]. Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno_2001.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
wasconducted in 1999 during the national vaccination campaign and, in 2008, BPS II77. Ministério da Saúde (BR), Secretaria de Atenção à Saúde, Departamento de Ações Programáticas e Estratégicas. II Pesquisa de Prevalência de Aleitamento Materno nas Capitais Brasileiras e Distrito Federal. Brasília. DF; 2009 [citado 28 mai 2018]. (Série C. Projetos, Programas e Relatórios). Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
, justified by the need for an analysis of the evolution of eating practices of children under 1 year, in view of the various actions developed within the national policy. However, to date there is no knowledge about these eating practices in the population of low birth weight infants. These data are also scarce in the international literature.

In order to differentiate this study from the others, we defined a study population rather than a variable, highlighting the originality centered on the emphasis on LBW rather than conducting yet another “LBW versus non-LBW” prevalence study. Thus, it was possible to explore the profile and differentials of this vulnerable population, emphasizing its importance. Given the double burden of nutritional risks to which LBW Brazilian children are exposed, the heterogeneity of income and education in Brazil, the need for monitoring this population, and the availability of BPS II data, the present study had as its main objective to characterize the CF of low birth weight Brazilian infants aged from six months and 0 days to 11 months and 29 days (i.e. from complete six months to incomplete twelve months) and to analyze the influence of individual and contextual factors on eating practices related to dietary diversity and consumption of ultra-processed foods. The results may be useful and contribute significantly to the improvement of public policies aimed at improving child feeding in this group.

METHODS

This cross-sectional study is part of the BPS in Brazilian Municipalities (2008) conducted in 26 Brazilian state capitals, the Federal District, and 37 other municipalities with a population of children under one year of age exceeding 4 thousand, to assess the breastfeeding and CF situation in the country. Data were obtained during the 2008 National Vaccination Campaign using a closed questionnaire that included questions on the sociodemographic characteristics of mothers or guardians and children, as well as on the consumption of breast milk, other types of milk and other foods on the day before the survey. Details on sample size calculation and data collection can be found elsewhere77. Ministério da Saúde (BR), Secretaria de Atenção à Saúde, Departamento de Ações Programáticas e Estratégicas. II Pesquisa de Prevalência de Aleitamento Materno nas Capitais Brasileiras e Distrito Federal. Brasília. DF; 2009 [citado 28 mai 2018]. (Série C. Projetos, Programas e Relatórios). Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
, 1717. Saldiva SRDM, Venancio SI, Santana AC, Castro ALS, Escuder MML, et al. The consumption of unhealthy foods by Brazilian children is influenced by their mother’s educational level. Nutr J. 2014;13(1):33. https://doi.org/10.1186/1475-2891-13-33
https://doi.org/10.1186/1475-2891-13-33...
.

The present study included 2,370 infants born underweight and aged six months and 0 days to 11 months and 29 days (due to the recommendation of exclusive breastfeeding up to six months) living in 64 Brazilian municipalities. The population definition of this article can be found in the appendix ( Figure 1 ).

Figure 1
Flowchart representing the population definitions of this study.

BW: birth weight


Because it is research conducted with complex probabilistic sampling, specific procedures were used for its analysis. Due to population differences across the municipalities studied, each level corresponded to a different sample fraction, represented by the estimated sample size on the number of children to be vaccinated. The inverse of this fraction was applied as children’s weight in each municipality77. Ministério da Saúde (BR), Secretaria de Atenção à Saúde, Departamento de Ações Programáticas e Estratégicas. II Pesquisa de Prevalência de Aleitamento Materno nas Capitais Brasileiras e Distrito Federal. Brasília. DF; 2009 [citado 28 mai 2018]. (Série C. Projetos, Programas e Relatórios). Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
.

We evaluated two dimensions of interest in the feeding of vulnerable populations: i) the fraction composed of non- or minimally processed foods, which is positively related to nutritional adequacy (positive dimension); ii) the fraction composed by UPF, which is positively related to high energy density, excess free sugar and saturated and trans fat, and protein and micronutrient inadequacy (negative dimension).

To assess dietary diversity we used an indicator adapted to that proposed by the World Health Organization (WHO)1818. World Health Organization. Indicators for assessing infant and young child feeding practices - part 1 definitions : conclusions of a consensus meeting held 6–8 November 2007 in Washington D.C., USA. Geneva: WHO; 2008 [citado 21 abr 2018]. Disponível em: https://apps.who.int/iris/bitstream/handle/10665/43895/9789241596664_eng.pdf?sequence=1
https://apps.who.int/iris/bitstream/hand...
. In the present study, diversity was characterized as the consumption of five food groups in the last 24 hours: meat, beans, vegetables, fruits and milk (breast or other), as proposed in other studies1919. Oliveira DA, Castro IRR, Jaime PC. Complementary feeding patterns in the first year of life in the city of Rio de Janeiro, Brazil: time trends from 1998 to 2008. Cad Saude Publica. 2014;30(8):1755-64. https://doi.org/10.1590/0102-311X00120013
https://doi.org/10.1590/0102-311X0012001...
, 2020. Oliveira MIC, Rigotti RR, Boccolini CS. Fatores associados à falta de diversidade alimentar no segundo semestre de vida. Cad Saude Coletiva. 2017;25(1):65-72. https://doi.org/10.1590/1414-462x201700010204
https://doi.org/10.1590/1414-462x2017000...
.

UPF consumption assessment was based on the NOVA classification, which categorizes foods according to the extent and purpose of their processing2121. Monteiro CA, Cannon G, Levy R, Moubarac JC, Jaime PC, Martins AP, et al. NOVA. The star shines bright. World Nutr. 2016;7(1-3):28-38. , and on the set of foods considered ultra-processed in the BPS questionnaire: soda, processed juice and crackers, cookies and crisps.

Thus, the outcomes of the present study were: i) “dietary diversity,” defined as the consumption of five food groups at least once on the day prior to the survey, and ii) “consumption of UPF,” when the infant consumed at least one of the foods mentioned above on the day prior to the survey. Both dependent variables were dichotomized into 0 (no) and 1 (yes).

The covariates of interest corresponded to the socioeconomic characteristics (represented by the proxy maternal education in years of schooling: ≤ 8, 9|–12, ≥ 12), to the infants characteristics (age: 6|–7 months, 7|–8 months, 8|–9 months, 9|–10 months, 10|–11 months, 11|–12 months; sex: male, female), to the mothers characteristics (age range: < 20, 20|–35, ≥ 35; working outside: no, yes, parity: primiparous, multiparous) and to the health services (outpatient follow-up: private or insurance plan, public network; type of delivery: vaginal, cesarean section). The first contextual factor studied regarding the municipality was the municipal prevalence of child undernutrition (≥ 10%, < 10%), a variable used as a proxy for poverty and estimated by Benicio et al.2222. Benício MHDA, Martins APB, Venancio SI, Barros AJD. Estimates of the prevalence of child malnutrition in Brazilian municipalities in 2006. Rev Saude Publica. 2013;47(3):560-70. https://doi.org/10.1590/S0034-8910.2013047004379
https://doi.org/10.1590/S0034-8910.20130...
from data from the 2006 National Demographic and Health Survey (NDHS) and the 2000 Demographic Census sample. Child undernutrition was measured by the height deficit for age below -2 Z-scores of the 2006 WHO growth pattern. Estimates of child undernutrition prevalence were produced for each of the 5,507 Brazilian municipalities in 2000. The method used to obtain these estimates was based on the development of individual statistical prediction models using multilevel analysis based on the 2006 NDHS, with inclusion of predictive variables measured similarly in both surveys. Prevalence was then estimated by the average individual probability of children living in each municipality studied by the 2000 Census sample. The second contextual factor was the municipality’s human development index (HDI), used as a direct indicator to refer to the socioeconomic status of the 64 municipalities studied in 2010b b Programa das Nações Unidas para o Desenvolvimento; Instituto de Pesquisa Econômica Aplicada; Fundação João Pinheiro. Consulta. Brasília, DF: PNUD; IPEA; Fundação João Pinheiro; 2013 [cited on Mar 01, 2018]. Available from: http://www.atlasbrasil.org.br/2013/pt/consulta/ , stratified in ascending order of classification: low (0.500–0.599) + medium (0.600–0.699), high (0.700–0.799), and very high (> 0.800).

The conceptual model used is depicted in Figure 2 . It shows that the hierarchical modeling strategy was used to include the individual variables in the model. In this strategy, the hierarchy of the independent variables is established in a conceptual framework, and the choice of criteria to select them requires knowledge about temporal precedence and biological and social determinants, rather than considering only the statistical aspect. Hierarchization was maintained throughout the analysis, allowing the selection of the variables most strongly associated with the outcomes of interest2323. Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26(1):224-7. https://doi.org/10.1093/ije/26.1.224
https://doi.org/10.1093/ije/26.1.224...
.

Figure 2
Conceptual framework for investigating individual and contextual factors of dietary diversity and ultra-processed foods consumption.

HDI: human development index


The association between the independent variables and the outcomes was initially evaluated using Poisson regression adjusted only for infant age. Thus, we selected those that could influence the outcomes. The effect of these, free of confusion generated by the others, was evaluated by multilevel Poisson regression, used according to the hierarchical organization of the population in relation to socioeconomic, infant, maternal and health service (Level 1) characteristics, considering the context (Level 2) and the existence of intragroup correlation.

The final model retained as adjustment variables only those with p <0.15 in the analysis adjusted for infant age. The selection of the variables that made up the final model followed the backward selection process: in the first stage of the modeling, the contextual variables adjusted for infant age and sex for both outcomes (Level 2) were included; in the following three stages, those related to socioeconomic (Block 1) or maternal (Block 2) and health services (Block 3) characteristics, all of them Level 1. Covariates with more than two categories were introduced into the model as ordinal qualitative variables to estimate the linear trend p-value. Prevalence ratio (PR) values and their respective confidence intervals (95%CI) were presented. The association between study factor and outcome was considered significant when p < 0.05. Evaluation of the fit quality of the multilevel model was verified by the -2loglikelihood test. All analyses were performed using Stata/SE 14.1 software.

This project was approved by the Research Ethics Committee of the Faculdade de Saúde Pública of Universidade de São Paulo, under opinion number 58147216.1.0000.5421.

RESULTS

Table 1 shows the sample and feeding characteristics of the infants studied. The median infant age was 8.9 months and birth weight 2,230 g, with 72% born weighing between 2,000 and 2,499 g. About 67% of the mothers were between 20 and 35 years old, 71% were not working outside the home and 54% were primiparous. The public network was the main outpatient follow-up (61.9%) and cesarean section was the most prevalent type of delivery (55.3%). Approximately 85% of infants lived in municipalities with child undernutrition prevalence below 10%, and 53% in municipalities with a high HDI. The prevalence of breastfeeding on the day before the survey was 54.5%. Regarding fluid consumption on the day before the survey, the highest prevalence found was for water (89.2%), followed by breast milk, non-breast milk or porridge (80.9%), some other type of non-breast milk (71.5%), and natural juice (70.8%). Thus, the probability of the infant receiving breast milk was lower than that found for other milks and porridge. Regarding the consumption of semi-solid foods on the day before the survey, there was a higher prevalence of vegetables (93.5%), followed by meat (77.7%), fruit (74.1%) and beans (67.3%). Regarding dietary practices, despite the high consumption of the main meal at lunch and/or dinner (84.5%), there was high consumption of UPF (58.9%), and only 28.5% of the study population received the five food groups at least once in the last 24 hours.

Table 1
Sample and feeding characteristics of low birth weight infants aged 6 to 11 months and 29 days. Breastfeeding Prevalence Survey in Brazilian Municipalities, 2008 (n = 2,370).

Table 2 shows the results of the analysis adjusted only for infant age for both outcomes. Regarding dietary diversity, its prevalence was higher among infants whose mothers had 12 or more years of schooling and did not work outside the home. The same was true for those living in municipalities with child undernutrition prevalence below 10%. Ultra-processed foods were most consumed by infants whose mothers had between 9 and 12 years of schooling, were under 20 years of age, were multiparous and lived in municipalities with a prevalence of child undernutrition below 10%.

Table 2
Factors associated with dietary diversity and consumption of ultra-processed foods and their prevalence ratios (PR) adjusted by the age of infants with low birth weight aged 6 to 11 months and 29 days. Breastfeeding Prevalence Survey in Brazilian Municipalities, 2008.

Tables 3 and 4 show the results of the multilevel analysis for the outcomes dietary diversity and UPF consumption, respectively. Even after adjusting for other variables, dietary diversity was more prevalent in LBW infants whose mothers had 12 years or more of schooling (PR = 1.35; 95%CI 1.16–1.58), worked outside the home (PR = 1.28; 95%CI 1.11–1.48) and lived in municipalities with a prevalence of child undernutrition below 10% (PR = 1.66; 95%CI 1.23–2.24). UPF showed results similar to those of the “crude” analysis: the prevalence of consumption was higher among infants whose mothers were under 20 years old (PR = 1.31; 95%CI 1.12–1.52), were multiparous (PR = 1.17; 95%CI 1.03–1.30) and lived in municipalities with a prevalence of child undernutrition below 10% (PR = 1.17; 95%CI 1.04–1.31).

Table 3
Individual factors and contextual factor of dietary diversity and adjusted prevalence ratios (PR) of low birth weight infants aged 6 to 11 months and 29 days in 64 Brazilian municipalities. Breastfeeding Prevalence Survey in Brazilian municipalities, 2008.
Table 4
Individual factors and contextual factor of ultra-processed food intake and adjusted prevalence ratios (PR) of low birth weight infants aged 6 to 11 months and 29 days in 64 Brazilian municipalities. Breastfeeding Prevalence Survey in Brazilian Municipalities, 2008.

DISCUSSION

This study presents, in an unprecedented way, the complementary feeding of LBW Brazilian children, evaluated by indicators of two major dimensions of interest in the feeding of vulnerable populations: the positive dimension, related to dietary diversity, and the negative dimension, related to consumption of UPF. Only 28.5% of the LBW infants in the 64 municipalities studied consumed the five food groups on the day before the survey, with dietary diversity below the recommended. More than half of infants (58.9%) consumed UPF, a practice considered inappropriate not only because of the negative nutritional profile of these foods, but also because they usually replace non- or minimally processed foods. The low prevalence of a diverse diet coupled with the high prevalence of UPF consumption characterizes the low quality of LBW Brazilian infants’ diet. Although more than half of infants were breastfed between 6 and 12 months, a rate higher than the national average, complementary feeding contradicts recommendations, increasing the risk of obesity and future chronic diseases.

The health harms indicated by these findings are numerous. UPF have high energy density (high concentration of sugar and saturated and trans fat) and low density of proteins, fibers and most micronutrients, including zinc2424. Louzada MLC, Ricardo CZ, Steele EM, Levy RB, Cannon G, Monteiro CA. The share of ultra-processed foods determines the overall nutritional quality of diets in Brazil. Public Health Nutr. 2018;21(1):94-102. https://doi.org/10.1017/S1368980017001434
https://doi.org/10.1017/S136898001700143...
, and are nutritionally inadequate for infants – especially those born with low weight, for their increased nutritional needs. Due to the small gastric capacity of infants, UPF eventually replace appropriate foods and age-appropriate culinary preparations, causing a decrease in dietary diversity. By stimulating excessive consumption, UPF impact negatively the hunger-satiety self-regulation mechanism, which can be extremely harmful for breastfed infants. In addition, the safety of CF is compromised with the offer of UPF due to the presence of additives in these foods. Finally, due to the importance of the infant’s familiarization with a healthy eating environment in this crucial phase of habit formation, exposure to UPF can have deleterious effects in the short and long term.

Considering the similarity of the methodology used, the prevalence of dietary diversity (28.5%) among LBW infants in these municipalities was less favorable than the results found in the cross-sectional study conducted in Barra Mansa (RJ) on the day of the National Vaccination Campaign in 2006, with children from the general population. The study showed that 35.5% of the children received diversified food in the second semester of life2020. Oliveira MIC, Rigotti RR, Boccolini CS. Fatores associados à falta de diversidade alimentar no segundo semestre de vida. Cad Saude Coletiva. 2017;25(1):65-72. https://doi.org/10.1590/1414-462x201700010204
https://doi.org/10.1590/1414-462x2017000...
.

The high consumption of UPF (58.9%) in the studied population seems to accompany the important changes observed in the eating habits of the Brazilian population in recent decades, marked by decreased consumption of traditional foods such as rice and beans and increased consumption of UPF2424. Louzada MLC, Ricardo CZ, Steele EM, Levy RB, Cannon G, Monteiro CA. The share of ultra-processed foods determines the overall nutritional quality of diets in Brazil. Public Health Nutr. 2018;21(1):94-102. https://doi.org/10.1017/S1368980017001434
https://doi.org/10.1017/S136898001700143...
.Soft drinks, ultra-processed juices, cookies and ready-to-eat crisps, among others, are present in high frequency in the feeding of children under two years of age77. Ministério da Saúde (BR), Secretaria de Atenção à Saúde, Departamento de Ações Programáticas e Estratégicas. II Pesquisa de Prevalência de Aleitamento Materno nas Capitais Brasileiras e Distrito Federal. Brasília. DF; 2009 [citado 28 mai 2018]. (Série C. Projetos, Programas e Relatórios). Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno.pdf
http://bvsms.saude.gov.br/bvs/publicacoe...
, 1717. Saldiva SRDM, Venancio SI, Santana AC, Castro ALS, Escuder MML, et al. The consumption of unhealthy foods by Brazilian children is influenced by their mother’s educational level. Nutr J. 2014;13(1):33. https://doi.org/10.1186/1475-2891-13-33
https://doi.org/10.1186/1475-2891-13-33...
, 2525. Passanha A, Benício MHD, Venâncio SI. Influência do aleitamento materno sobre o consumo de bebidas ou alimentos adoçados. Rev Paul Pediatr. 2018;36(2):148-54. https://doi.org/10.1590/1984-0462/;2018;36;2;00008
https://doi.org/10.1590/1984-0462/;2018;...
, 2626. Jaime PC, Frias PG, Monteiro HOC, Almeida PVB, Malta DC. Assistência em saúde e alimentação não saudável em crianças menores de dois anos: dados da Pesquisa Nacional de Saúde, Brasil, 2013. Rev Bras Saude Mater Infant. 2016;16(2):159-67. https://doi.org/10.1590/1806-93042016000200005
https://doi.org/10.1590/1806-93042016000...
, and those born with low weight seem not to be protected from the problem.

The analysis of factors associated with dietary diversity showed that maternal education and work and infant’s region of residence (with a higher or lower prevalence of child undernutrition) determine whether or not LBW children have access to healthy eating. LBW infants’ food intake also varied according to the socioeconomic status of the families. LBW infants whose mothers had eight years or less of schooling and did not work outside the home had lower dietary diversity. The negative association between maternal education and diet quality, characterized by high UPF consumption and low diet adequacy2727. Mais LA, Warkentin S, Vega JB, Latorre MRDO, Carnell S, Taddei JAAC. Sociodemographic, anthropometric and behavioural risk factors for ultra-processed food consumption in a sample of 2-9-year-olds in Brazil. Public Health Nutr. 2018;21 Spec N°1:77-86. https://doi.org/10.1017/S1368980017002452
https://doi.org/10.1017/S136898001700245...
, as well as between maternal work and inappropriate eating practices, is consistent with findings in countries in Africa, Asia and Latin America, including Brazil2828. Yarnoff B, Allaire B, Detzel P. Mother, infant, and household factors associated with the type of food infants receive in developing countries. Front Pediatr. 2014;2:14. https://doi.org/10.3389/fped.2014.00014
https://doi.org/10.3389/fped.2014.00014...
.

Maternal education lost statistical significance in the multiple analysis for UPF consumption. However, Saldiva et al.1717. Saldiva SRDM, Venancio SI, Santana AC, Castro ALS, Escuder MML, et al. The consumption of unhealthy foods by Brazilian children is influenced by their mother’s educational level. Nutr J. 2014;13(1):33. https://doi.org/10.1186/1475-2891-13-33
https://doi.org/10.1186/1475-2891-13-33...
found that, in Brazil, children living in the capitals whose mothers had no education were two to three times more likely to consume ultra-processed juices, soft drinks and sweetened foods than children of mothers with higher education.

Regarding maternal age, other studies have also found an association between young mothers and the provision of foods not recommended for infants younger than one year, such as industrialized foods, as a substitute for culinary preparations2929. Betoko A, Charles MA, Hankard R, Forhan A, Bonet M, Saurel-Cubizolles MJ, et al. Infant feeding patterns over the first year of life: influence of family characteristics. Eur J Clin Nutr. 2013;67(6):631-7. https://doi.org/10.1038/ejcn.2012.200
https://doi.org/10.1038/ejcn.2012.200...
. This speaks in favor of other factors influencing the maternal choice of offering ready-made or ready-to-eat foods, such as low maternal confidence in her own culinary skills or lack of interest in acquiring them because they are unaware of the importance of this practice for health, and offering their children a diet similar to their own, as observed by Robinson et al.3131. Robinson S, Marriott L, Poole J, Crozier S, Borland S, Lawrence W, et al. Dietary patterns in infancy: the importance of maternal and family influences on feeding practice. Br J Nutr. 2007;98(5):1029-37. https://doi.org/10.1017/S0007114507750936
https://doi.org/10.1017/S000711450775093...
when studying the behavior of teenage mothers, an age group that tends to be the largest consumer of UPF3232. Baraldi LG, Martinez Steele E, Canella DS, Monteiro CA. Consumption of ultra-processed foods and associated sociodemographic factors in the USA between 2007 and 2012: evidence from a nationally representative cross-sectional study. BMJ Open. 2018;8(3):e020574. https://doi.org/10.1136/bmjopen-2017-020574
https://doi.org/10.1136/bmjopen-2017-020...
.

UPF consumption was more prevalent among infants born to multiparous women. Studies have found a positive dose-response relationship regarding increased unhealthy eating scores with infant birth order, increased parity, and higher number of siblings2929. Betoko A, Charles MA, Hankard R, Forhan A, Bonet M, Saurel-Cubizolles MJ, et al. Infant feeding patterns over the first year of life: influence of family characteristics. Eur J Clin Nutr. 2013;67(6):631-7. https://doi.org/10.1038/ejcn.2012.200
https://doi.org/10.1038/ejcn.2012.200...
. Possibly, this result is explained by the fact that the priorities and dietary needs of older children compete with those of younger ones3131. Robinson S, Marriott L, Poole J, Crozier S, Borland S, Lawrence W, et al. Dietary patterns in infancy: the importance of maternal and family influences on feeding practice. Br J Nutr. 2007;98(5):1029-37. https://doi.org/10.1017/S0007114507750936
https://doi.org/10.1017/S000711450775093...
, and the presence of older children at home reduces the likelihood of preparing a specific feeding for the infant2929. Betoko A, Charles MA, Hankard R, Forhan A, Bonet M, Saurel-Cubizolles MJ, et al. Infant feeding patterns over the first year of life: influence of family characteristics. Eur J Clin Nutr. 2013;67(6):631-7. https://doi.org/10.1038/ejcn.2012.200
https://doi.org/10.1038/ejcn.2012.200...
.

Despite the effect of individual variables, the contextual variable referring to 10% or higher prevalence of childhood undernutrition was associated with poorer quality of food in both domains: dietary diversity and UPF consumption. This confirms the important influence of the families’ socioeconomic context on the quality of infant feeding. Municipalities with low socioeconomic conditions, which are concentrated in the North and Northeast, should be a priority in the public policy agenda regarding the direction of educational nutritional actions on food consumption in the first year of life. In addition, the adoption of regulatory measures on the relative price of food, such as taxation of high energy density foods and reduction of the price of fresh or minimally processed foods, such as fruits and vegetables3333. Claro RM, Monteiro CA. Renda familiar, preço de alimentos e aquisição domiciliar de frutas e hortaliças no Brasil. Rev Saude Publica. 2010;44(6):1014-20. https://doi.org/10.1590/S0034-89102010000600005
https://doi.org/10.1590/S0034-8910201000...
, 3434. Nederkoorn C, Havermans RC, Giesen JCAH, Jansen A. High tax on high energy dense foods and its effects on the purchase of calories in a supermarket: an experiment. Appetite. 2011;56(3):760-5. https://doi.org/10.1016/j.appet.2011.03.002
https://doi.org/10.1016/j.appet.2011.03....
, would contribute positively to change the feeding of infants living in these places.

Among the limitations of the present study, we highlight the fact that information on infant feeding refers only to the day before the survey, making it impossible to assess the usual food intake. However, the use of a single reminder does not diminish the validity of the study, as the aim was to do group evaluation. Another limitation is the lack of information on gestational age to assess prematurity; however, sensitivity analysis was performed for both outcomes, including only infants born weighing between 2,000 g and 2,499 g and older than six months, with results similar to the total population weighing less than 2,500 g. The similarity of magnitude for the three birth weight strata allowed the inclusion of all infants with LBW in the sample, indicating that they did not differ statistically from preterm infants. In addition, the dietary diversity indicator based on the previous day’s consumption may have led to an underestimation or overestimation of the individuals’ classification and possibly an underestimation of the association between sociodemographic determinants and dietary diversity. Finally, there is a lack of data to quantify the percentage participation of UPF in the total energy intake. On the other hand, research during vaccination campaigns makes it possible to obtain information in a short period and at low cost, and the use of multilevel analysis allows to obtain estimates that take into account the hierarchical level of data and intragroup correlation. It is also noteworthy that BPS is the last epidemiological study of population representativeness conducted in Brazil that allows to evaluate the food intake of LBW infants under one year.

In the Brazilian context, this is the first study to analyze factors associated with the feeding quality of LBW infants, taking into account both dietary diversity and exposure to UPF. Our findings indicate that individual and contextual factors impact the food quality of this vulnerable population, suggesting the need for effective strategies to increase the consumption of fresh or minimally processed foods and reduce the consumption of ultra-processed foods. In addition, monitoring these practices is important to identify the impact of public policies aimed at healthy CF and for at-risk groups to receive more attention from health services.

REFERENCES

  • 1
    World Health Organization. Global Nutrition Targets 2025: low birth weight policy brief. Geneva: WHO; 2014 [citado 28 mai 2018]. Disponível em: http://www.who.int/nutrition/publications/globaltargets2025_policybrief_lbw/en/
    » http://www.who.int/nutrition/publications/globaltargets2025_policybrief_lbw/en/
  • 2
    Lima JC, Oliveira Júnior GJ, Takano OA. Factors associated to fetal death in Cuiabá, Mato Grosso. Rev Bras Saude Mater Infant. 2016;16(3):353-61. https://doi.org/10.1590/1806-93042016000300008
    » https://doi.org/10.1590/1806-93042016000300008
  • 3
    Rojas PFB, Carminatti APS, Hafemann F, Francisco CC. Fatores maternos preditivos de baixo peso ao nascer: um estudo caso-controle. Arq Catarin Med. 2013 [citado 28 mai 2018];42(1):68-75. Disponível em: http://www.acm.org.br/revista/pdf/artigos/1215.pdf
    » http://www.acm.org.br/revista/pdf/artigos/1215.pdf
  • 4
    Victora CG, Onis M, Hallal PC, Blössner M, Shrimpton R. Worldwide timing of growth faltering: revisiting implications for interventions. Pediatrics. 2010;125(3):e473-80. https://doi.org/10.1542/peds.2009-1519
    » https://doi.org/10.1542/peds.2009-1519
  • 5
    Barker DJP. Fetal programming of coronary heart disease. Trends Endocrinol Metab. 2002;13(9):364-8. https://doi.org10.1016/S1043-2760(02)00689-6
    » https://doi.org10.1016/S1043-2760(02)00689-6
  • 6
    Singhal A, Lucas A. Early origins of cardiovascular disease: Is there a unifying hypothesis? Lancet. 2004;363(9421):1642-5. https://doi.org/10.1016/S0140-6736(04)16210-7
    » https://doi.org/10.1016/S0140-6736(04)16210-7
  • 7
    Ministério da Saúde (BR), Secretaria de Atenção à Saúde, Departamento de Ações Programáticas e Estratégicas. II Pesquisa de Prevalência de Aleitamento Materno nas Capitais Brasileiras e Distrito Federal. Brasília. DF; 2009 [citado 28 mai 2018]. (Série C. Projetos, Programas e Relatórios). Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno.pdf
    » http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno.pdf
  • 8
    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;21(1):5-17. https://doi.org/10.1017/S1368980017000234
    » https://doi.org/10.1017/S1368980017000234
  • 9
    Jones G, Steketee RW, Black RE, Bhutta ZA, Morris SS; Bellagio Child Survival Study Group. How many child deaths can we prevent this year? Lancet. 2003;362(9377):65-71. https://doi.org/10.1016/S0140-6736(03)13811-1
    » https://doi.org/10.1016/S0140-6736(03)13811-1
  • 10
    Lioret S, Betoko A, Forhan A, Charles MA, Heude B, Lauzon-Guillain B; EDEN Mother-Child Cohort Study Group. Dietary patterns track from infancy to preschool age: cross-sectional and longitudinal perspectives. J Nutr. 2015;145(4):775-82. https://doi.org/10.3945/jn.114.201988
    » https://doi.org/10.3945/jn.114.201988
  • 11
    Bielemann RM, Santos LP, Costa CS, Matijasevich A, Santos IS. Early feeding practices and consumption of ultraprocessed foods at 6 y of age: findings from the 2004 Pelotas (Brazil) Birth Cohort Study. Nutrition. 2018;47:27-32. https://doi.org/10.1016/j.nut.2017.09.012
    » https://doi.org/10.1016/j.nut.2017.09.012
  • 12
    Carvalho CA, Fonsêca PCA, Priore SE, Franceschini SCC, Novaes JF. Consumo alimentar e adequação nutricional em crianças brasileiras: revisão sistemática. Rev Paul Pediatr. 2015;33(2):211-21. https://doi.org/10.1016/j.rpped.2015.03.002
    » https://doi.org/10.1016/j.rpped.2015.03.002
  • 13
    Blake-Lamp T, Locks L, Perkins M, Baidal JAW, Cheng ER, Taveras EM. Interventions for childhood obesity in the first 1,000 days: a systematic review. Am J Prev Med. 2016;50(6):780-9. https://doi.org/10.1016/j.amepre.2015.11.010
    » https://doi.org/10.1016/j.amepre.2015.11.010
  • 14
    Victora CG, Horta BL, Mola CL, Quevedo L, Pinheiro RT, Gigante DP, et al. Association between breastfeeding and intelligence, educational attainment, and income at 30 years of age: a prospective birth cohort study from Brazil. Lancet Glob Health. 2015;3(4):e199-205. https://doi.org/10.1016/S2214-109X(15)70002-1
    » https://doi.org/10.1016/S2214-109X(15)70002-1
  • 15
    World Health Organization; UNICEF. Global strategy for infant and young child feeding. Geneva: WHO; UNICEF; 2003 [citado 21 abr 2018]. Disponível em: https://www.who.int/nutrition/publications/infantfeeding/9241562218/en/
    » https://www.who.int/nutrition/publications/infantfeeding/9241562218/en/
  • 16
    Ministério da Saúde (BR), Secretaria de Políticas de Saúde. Área de Saúde da Criança. Pesquisa de Prevalência do Aleitamento Materno nas Capitais e no Distrito Federal. Brasília, DF; 2001 [citado 21 abr 2018]. Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno_2001.pdf
    » http://bvsms.saude.gov.br/bvs/publicacoes/pesquisa_prevalencia_aleitamento_materno_2001.pdf
  • 17
    Saldiva SRDM, Venancio SI, Santana AC, Castro ALS, Escuder MML, et al. The consumption of unhealthy foods by Brazilian children is influenced by their mother’s educational level. Nutr J. 2014;13(1):33. https://doi.org/10.1186/1475-2891-13-33
    » https://doi.org/10.1186/1475-2891-13-33
  • 18
    World Health Organization. Indicators for assessing infant and young child feeding practices - part 1 definitions : conclusions of a consensus meeting held 6–8 November 2007 in Washington D.C., USA. Geneva: WHO; 2008 [citado 21 abr 2018]. Disponível em: https://apps.who.int/iris/bitstream/handle/10665/43895/9789241596664_eng.pdf?sequence=1
    » https://apps.who.int/iris/bitstream/handle/10665/43895/9789241596664_eng.pdf?sequence=1
  • 19
    Oliveira DA, Castro IRR, Jaime PC. Complementary feeding patterns in the first year of life in the city of Rio de Janeiro, Brazil: time trends from 1998 to 2008. Cad Saude Publica. 2014;30(8):1755-64. https://doi.org/10.1590/0102-311X00120013
    » https://doi.org/10.1590/0102-311X00120013
  • 20
    Oliveira MIC, Rigotti RR, Boccolini CS. Fatores associados à falta de diversidade alimentar no segundo semestre de vida. Cad Saude Coletiva. 2017;25(1):65-72. https://doi.org/10.1590/1414-462x201700010204
    » https://doi.org/10.1590/1414-462x201700010204
  • 21
    Monteiro CA, Cannon G, Levy R, Moubarac JC, Jaime PC, Martins AP, et al. NOVA. The star shines bright. World Nutr. 2016;7(1-3):28-38.
  • 22
    Benício MHDA, Martins APB, Venancio SI, Barros AJD. Estimates of the prevalence of child malnutrition in Brazilian municipalities in 2006. Rev Saude Publica. 2013;47(3):560-70. https://doi.org/10.1590/S0034-8910.2013047004379
    » https://doi.org/10.1590/S0034-8910.2013047004379
  • 23
    Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26(1):224-7. https://doi.org/10.1093/ije/26.1.224
    » https://doi.org/10.1093/ije/26.1.224
  • 24
    Louzada MLC, Ricardo CZ, Steele EM, Levy RB, Cannon G, Monteiro CA. The share of ultra-processed foods determines the overall nutritional quality of diets in Brazil. Public Health Nutr. 2018;21(1):94-102. https://doi.org/10.1017/S1368980017001434
    » https://doi.org/10.1017/S1368980017001434
  • 25
    Passanha A, Benício MHD, Venâncio SI. Influência do aleitamento materno sobre o consumo de bebidas ou alimentos adoçados. Rev Paul Pediatr. 2018;36(2):148-54. https://doi.org/10.1590/1984-0462/;2018;36;2;00008
    » https://doi.org/10.1590/1984-0462/;2018;36;2;00008
  • 26
    Jaime PC, Frias PG, Monteiro HOC, Almeida PVB, Malta DC. Assistência em saúde e alimentação não saudável em crianças menores de dois anos: dados da Pesquisa Nacional de Saúde, Brasil, 2013. Rev Bras Saude Mater Infant. 2016;16(2):159-67. https://doi.org/10.1590/1806-93042016000200005
    » https://doi.org/10.1590/1806-93042016000200005
  • 27
    Mais LA, Warkentin S, Vega JB, Latorre MRDO, Carnell S, Taddei JAAC. Sociodemographic, anthropometric and behavioural risk factors for ultra-processed food consumption in a sample of 2-9-year-olds in Brazil. Public Health Nutr. 2018;21 Spec N°1:77-86. https://doi.org/10.1017/S1368980017002452
    » https://doi.org/10.1017/S1368980017002452
  • 28
    Yarnoff B, Allaire B, Detzel P. Mother, infant, and household factors associated with the type of food infants receive in developing countries. Front Pediatr. 2014;2:14. https://doi.org/10.3389/fped.2014.00014
    » https://doi.org/10.3389/fped.2014.00014
  • 29
    Betoko A, Charles MA, Hankard R, Forhan A, Bonet M, Saurel-Cubizolles MJ, et al. Infant feeding patterns over the first year of life: influence of family characteristics. Eur J Clin Nutr. 2013;67(6):631-7. https://doi.org/10.1038/ejcn.2012.200
    » https://doi.org/10.1038/ejcn.2012.200
  • 30
    Passanha A. Consumo alimentar de crianças paulistas no segundo semestre de vida: Pesquisa de Prevalência de Aleitamento Materno em Municípios Brasileiros, 2008 [tese]. São Paulo: Faculdade de Saúde Pública da Universidade de São Paulo; 2017.
  • 31
    Robinson S, Marriott L, Poole J, Crozier S, Borland S, Lawrence W, et al. Dietary patterns in infancy: the importance of maternal and family influences on feeding practice. Br J Nutr. 2007;98(5):1029-37. https://doi.org/10.1017/S0007114507750936
    » https://doi.org/10.1017/S0007114507750936
  • 32
    Baraldi LG, Martinez Steele E, Canella DS, Monteiro CA. Consumption of ultra-processed foods and associated sociodemographic factors in the USA between 2007 and 2012: evidence from a nationally representative cross-sectional study. BMJ Open. 2018;8(3):e020574. https://doi.org/10.1136/bmjopen-2017-020574
    » https://doi.org/10.1136/bmjopen-2017-020574
  • 33
    Claro RM, Monteiro CA. Renda familiar, preço de alimentos e aquisição domiciliar de frutas e hortaliças no Brasil. Rev Saude Publica. 2010;44(6):1014-20. https://doi.org/10.1590/S0034-89102010000600005
    » https://doi.org/10.1590/S0034-89102010000600005
  • 34
    Nederkoorn C, Havermans RC, Giesen JCAH, Jansen A. High tax on high energy dense foods and its effects on the purchase of calories in a supermarket: an experiment. Appetite. 2011;56(3):760-5. https://doi.org/10.1016/j.appet.2011.03.002
    » https://doi.org/10.1016/j.appet.2011.03.002
  • Funding: Doctoral Scholarship, Funding Agency: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Period: Apr 2018 to Sep 2019, Process Number: 33002010199P0

Publication Dates

  • Publication in this collection
    31 Jan 2020
  • Date of issue
    2020

History

  • Received
    25 June 2018
  • Accepted
    13 May 2019
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