Time trends and social inequalities in infant and young child feeding practices: national estimates from Brazil's Food and Nutrition Surveillance System, 2008-2019.

OBJECTIVE: To describe the time trends and socio-economic inequalities in infant and young child feeding practices in accordance with the Brazilian deprivation index (BDI). DESIGN: This time-series study analysed the prevalence of multiple breast-feeding and complementary feeding indicators based on data from the Brazilian Food and Nutrition Surveillance System, 2008-2019. Prais-Winsten regression models were used to analyse time trends. Annual percent change (APC) and 95 % CI were calculated. SETTING: Primary health care services, Brazil. PARTICIPANTS: Totally, 911 735 Brazilian children under 2 years old. RESULTS: Breast-feeding and complementary feeding practices differed between the extreme BDI quintiles. Overall, the results were more favourable in the municipalities with less deprivation (Q1). Improvements in some complementary feeding indicators were observed over time and evidenced such disparities: minimum dietary diversity (Q1: Δ 47·8-52·2 %, APC + 1·44, P = 0·006), minimum acceptable diet (Q1: Δ 34·5-40·5 %, APC + 5·17, P = 0·004) and consumption of meat and/or eggs (Q1: Δ 59·7-80·3 %, APC + 6·26, P < 0·001; and Q5: Δ 65·7-70·7 %, APC + 2·20, P = 0·041). Stable trends in exclusive breast-feeding and decreasing trends in the consumption of sweetened drinks and ultra-processed foods were also observed regardless the level of the deprivation. CONCLUSIONS: Improvements in some complementary food indicators were observed over time. However, the improvements were not equally distributed among the BDI quintiles, with children from the municipalities with less deprivation benefiting the most.

Factors associated with anemia and vitamin A deficiency in Brazilian children under 5 years old: Brazilian National Survey on Child Nutrition (ENANI-2019) / Fatores associados à anemia e deficiência de vitamina A em crianças brasileiras menores de cinco anos: Estudo Nacional de Alimentação e Nutrição Infantil (ENANI-2019) / Factores asociados con la anemia y la deficiencia de vitamina A en niños brasileños menores de cinco años: Estudio Nacional de Alimentación y Nutrición Infantil (ENANI-2019)

Abstract: Factors associated with anemia and vitamin A deficiency were investigated in 7,716 children 6-59 months of age studied in the Brazilian National Survey on Child Nutrition (ENANI-2019). We adopted a hierarchical approach based on a United Nations Children's Fund (UNICEF) theoretical model with three levels, stratifying by age (6-23; 24-59 months). Prevalence ratio (PR) and 95% confidence interval (95%CI) were estimated. Enabling determinants: a higher prevalence of anemia was observed in children 6-23 months whose mothers had ≤ 7 years of schooling (PR = 1.92; 95%CI: 1.10; 3.34), < 20 years old (PR = 2.47; 95%CI: 1.34; 4.56) or 20-30 years old (PR = 1.95; 95%CI: 1.11; 3.44), mixed-race (PR = 1.57; 95%CI: 1.06; 2.23); and in children 24-59 months in the North Region (PR = 3.11; 95%CI: 1.58; 6.13). A higher prevalence for vitamin A deficiency was observed in children 6-23 months from Central-West (PR = 2.32; 95%CI: 1.33; 4.05), and in children 24-59 months living in the North (PR = 1.96; 95%CI: 1.16; 3.30), South (PR = 3.07; 95%CI: 1.89; 5.01), and Central-West (PR = 1.91; 95%CI: 1.12; 3.25) and whose mothers were 20-34 years (PR = 1.62; 95%CI: 1.11; 2.35). Underlying determinants: the presence of more than one child < 5 years old in the household was associated with a higher prevalence of anemia (PR = 1.61; 95%CI: 1.15; 2.25) and vitamin A deficiency (PR = 1.82; 95%CI: 1.09; 3.05) in children 6-23 months. Immediate determinants: consumption of 1-2 groups of ultra-processed foods in children 24-59 months (PR = 0.44; 95%CI: 0.25; 0.81) and lack of breastfeeding in the day before in children 6-23 months (PR = 0.56; 95%CI: 0.36; 0.95) were associated with lower prevalence of anemia and vitamin A deficiency. Public policies focused on geographically and socially vulnerable groups are needed to promote equity.

Resumo: Fatores associados a anemia e deficiência de vitamina A foram investigados em 7.716 crianças de 6-59 meses de idade parte da Estudo Nacional de Alimentação e Nutrição Infantil (ENANI-2019). Adotamos uma abordagem hierárquica baseada em um modelo teórico do Fundo das Nações Unidas para a Infância (UNICEF) com três níveis estratificados por idade (6-23; 24-59 meses). Foram estimadas razões de prevalência (RP) e intervalos de 95% de confiança (IC95%). Determinantes habilitadores: observamos maior prevalência de anemia em crianças de 6-23 meses de idade cujas mães tinham ≤ 7 anos de escolaridade (RP = 1,92; IC95%: 1,10; 3,34), < 20 anos de idade (RP = 2,47; IC95%: 1,34; 4,56) ou 20-30 anos de idade (RP = 1,95; IC95%: 1,11; 3,44), cor parda (RP = 1,57; IC95%: 1,06; 2,23); e em crianças de 24-59 meses de idade na Região Norte (RP = 3,11; IC95%: 1,58; 6,13). Encontramos maior prevalência de deficiência de vitamina A em crianças de 6-23 meses de idade no Centro-oeste (RP = 2,32; IC95%: 1,33; 4,05) e em crianças de 24-59 meses de idade residentes nas regiões Norte (RP = 1,96; IC95%: 1,16; 3,30), Sul (RP = 3,07; IC95%: 1,89; 5,01) e Centro-oeste (RP = 1,91; IC95%: 1,12; 3,25) cujas mães tinham entre 20-34 anos de idade (RP = 1,62; IC95%: 1,11; 2,35). Determinantes subjacentes: a presença de mais de uma criança < 5 anos de idade no domicílio se associou a maior prevalência de anemia (RP = 1,61; IC95%: 1,15; 2,25) e deficiência de vitamina A (RP = 1,82; IC95%: 1,09; 3,05) em crianças de 6-23 meses de idade. Determinantes imediatos: o consumo de 1-2 grupos de alimentos ultraprocessados em crianças de 24-59 meses de idade (RP = 0,44; IC95%: 0,25; 0,81) e o não aleitamento materno no dia anterior em crianças de 6-23 meses de idade (RP = 0,56; IC95%: 0,36; 0,95) foram associados com a menor prevalência de anemia e deficiência de vitamina A. Políticas públicas focadas em grupos geográfica e socialmente vulneráveis são necessárias para promover equidade.

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The National Wealth Score in the Brazilian National Survey on Child Nutrition (ENANI-2019) / O Indicador Econômico Nacional no Estudo Nacional de Alimentação e Nutrição Infantil (ENANI-2019) / El Indicador Económico Nacional en el Estudio Nacional de Alimentación y Nutrición Infantil (ENANI-2019)

The National Wealth Score (IEN) is a synthetic household index that assesses socioeconomic conditions. This study aims to present the methods used to update the IEN using data from the Brazilian National Survey on Child Nutrition (ENANI-2019). The following items were included: the education level of the mother or caregiver of the child; the number of bedrooms and bathrooms, TV sets, and cars in the household; and the presence of a radio, refrigerator or freezer, washing machine, microwave oven, telephone line, computers, air conditioner, media player devices, cable or satellite TV, cell phone ownership and type of service, cell phone internet, and internet at the household. Principal component analysis (PCA) was used to estimate the IEN with and without incorporating the complex sampling design (CSD). Thus, the IEN validation considered proxy indicators of socioeconomic status and living conditions. The first component of the PCA explained 31% and 71% of the variation with and without incorporating the CSD, respectively. The coefficients of variation of the IEN were 53.4% and 2.6% with and without incorporating the CSD, respectively. The mean IEN score was lower in households without access to a sewage system, those that received benefits from Brazilian Income Transfer Program, those with some degree of food insecurity, and those with stunted children. Adding ENANI-2019 items to the calculation of IEN to capture technological advances resulted in a better fit of the model. Incorporating the CSD increased PCA performance and the IEN precision. The new IEN has an adequate performance in determining the socioeconomic status of households with children aged under five years.

O Indicador Econômico Nacional (IEN) é um índice domiciliar sintético que avalia condições socioeconômicas. Este estudo tem como objetivo apresentar os métodos utilizados para atualização do IEN a partir de dados do Estudo Nacional de Alimentação e Nutrição Infantil (ENANI-2019). Foram incluídos os seguintes itens: escolaridade da mãe/cuidador da criança; o número de quartos e banheiros, aparelhos de TV e carros no domicílio; a presença de rádio, geladeira ou freezer, máquina de lavar, forno micro-ondas, linha telefônica, computadores, ar-condicionado, aparelhos multimídia, TV a cabo ou via satélite, propriedade e tipo de serviço de telefone celular, rede de dados de telefone celular e internet no domicílio. A análise de componentes principais (ACP) foi utilizada para estimar o IEN com e sem a incorporação da amostragem complexa. Assim, a validação do IEN considerou indicadores proxy de nível socioeconômico e condições de vida. O primeiro componente da ACP explicou 31% e 71% da variação com e sem a incorporação da amostragem complexa, respectivamente. Os coeficientes de variação do IEN foram de 53,4% e 2,6% com e sem a incorporação da amostragem complexa, respectivamente. O escore médio do IEN foi menor em domicílios sem acesso a esgoto, naqueles que receberam benefícios do Programa Bolsa Família, naqueles com algum grau de insegurança alimentar e naqueles com crianças com déficit de crescimento. A adição de itens do ENANI-2019 ao cálculo do IEN, a fim de capturar os avanços tecnológicos, resultou em um melhor ajuste do modelo. A incorporação da amostragem complexa aumentou o desempenho da ACP e a precisão do IEN. O novo IEN tem um desempenho adequado na determinação do nível socioeconômico de domicílios com crianças menores de cinco anos.

El Indicador Económico Nacional (IEN) es un índice domiciliar que evalúa las condiciones socioeconómicas. Este estudio tiene como objetivo presentar los métodos utilizados en la actualización del IEN con base en datos del Estudio Nacional de Alimentación y Nutrición Infantil (ENANI-2019). Se incluyeron los siguientes ítems: nivel educativo de la madre/cuidador del niño; la cantidad de dormitorios y baños, televisores y autos en el hogar; la tenencia de radio, heladera o freezer, lavadora, horno de microondas, línea telefónica, computadoras, aire acondicionado, equipo multimedia, televisión por cable o satélite, titularidad y tipo de servicio de telefonía celular, red de datos celular e internet en el hogar. Se utilizó el análisis de componentes principales (ACP) para estimar el IEN con y sin la incorporación de muestreo complejo. Así, la validación del IEN consideró indicadores proxy de nivel socioeconómico y condiciones de vida. El primer componente ACP explicó el 31% y el 71% de la variación con y sin la incorporación de muestreo complejo, respectivamente. Los coeficientes de variación del IEN fueron el 53,4% y el 2,6% con y sin incorporación de muestreo complejo, respectivamente. El puntaje medio del IEN fue menor en los hogares sin acceso a alcantarillado, en aquellos que recibieron beneficios del Programa Bolsa Família, en aquellos con algún grado de inseguridad alimentaria y en aquellos con niños con retraso en el crecimiento. La incorporación de los ítems del ENANI-2019 en el cálculo del IEN, con el fin de capturar los avances tecnológicos, dio como resultado un mejor ajuste del modelo. La incorporación de muestreo complejo incrementó el desempeño de la ACP y la precisión del IEN. El nuevo IEN tiene un desempeño adecuado para estimar el nivel socioeconómico de los hogares con niños menores de cinco años.

Methodological aspects of the assessment of dietary intake in the Brazilian National Survey on Child Nutrition (ENANI-2019): a population-based household survey.

This manuscript aims to describe the methodological, operational, and quality control aspects of the assessment of dietary intake in children under five years of age participating in the Brazilian National Survey on Child Nutrition (ENANI-2019), a household survey in a probability sample of Brazilian households. Two instruments were developed to assess child feeding practices - a structured, current status-type questionnaire and a 24-hour dietary recall (24HR), both installed in a mobile data collection device used by previously trained interviewers. A Photographic Manual for Quantification of Children's Dietary Intake was specifically developed for and used in the survey as a support aid to identify and quantify foods reported in the 24HR. During the fieldwork, continuous quality control of the records was performed. Data errors or incomplete data in the system were corrected, and the fieldwork team was systematically contacted and informed on their performance, with reiterated orientation on data collection. All children in the sample were evaluated with the two instruments, but data were obtained from the structured questionnaire on all children in the sample (n = 14,558) and 24HR on 14,541 children. ENANI-2019 developed innovative methods and materials based on the Brazilian and international literature to address knowledge gaps on under-five children's dietary intake. Unprecedented results will be produced, which will allow updating food and nutrition guidelines for children under five years of age in Brazil.

Gestational dietary patterns are not associated with blood pressure changes during pregnancy and early postpartum in a Brazilian prospective cohort.

PURPOSE: To identify gestational dietary patterns and evaluate the association between these patterns and the blood pressure (BP) rate of change during pregnancy and the postpartum. METHODS: Prospective cohort study composed of 191 healthy pregnant women. Systolic BP (SBP) and diastolic BP (DBP) were obtained at the 5th-13th, 20th-26th, 30th-36th gestational weeks, and with 30-45 days postpartum. A food frequency questionnaire administered at the 30th-36th gestational week was used to measure dietary intake during pregnancy. Principal component analysis was performed to identify the dietary patterns. A longitudinal linear mixed-effects regression model was used to evaluate the association between the dietary patterns and BP (adjusted for time elapsed after conception and the women's age, education, parity, body mass index and total energy intake). RESULTS: Three gestational dietary patterns were identified: healthy, common-Brazilian and processed. SBP/DBP mean values (SD) were 110.1 (9.0)/66.9 (7.5), 108.7 (9.0)/64.9 (6.7), 111.3 (9.2)/67.0 (6.9) and 115.0 (10.7)/73.7 (8.6) mmHg at the first, second and third gestational trimesters and postpartum, respectively. Women with higher/lower adherence to the processed pattern presented SBP of 117.9 and 113.0 mmHg (P = 0.037), respectively, during postpartum. No association was found between any of the three dietary patterns and SBP in the multiple longitudinal linear regression models, whereas 1 SD increase in the common-Brazilian pattern was associated with a small change of DBP (ß = 0.0006; 95% CI 4.66e-06, 0.001; P = 0.048). CONCLUSION: The three dietary patterns identified revealed no association with changes of SBP and DBP levels during pregnancy and at early postpartum in this sample of healthy Brazilian women.

Prepregnancy healthy dietary pattern is inversely associated with depressive symptoms among pregnant Brazilian women.

Dietary patterns before pregnancy may be associated with depressive symptomatology during pregnancy. The aim of this study was to identify dietary patterns before pregnancy and to examine the association between these dietary patterns and depressive symptoms during pregnancy. A prospective cohort of 248 healthy pregnant women were followed at 5-13, 20-26, and 30-36 gestational weeks. Dietary intake was obtained by using a food-frequency questionnaire administered between 5 and 13 gestational weeks, which referred to the 6 mo preceding gestation, and factor analysis (principal components) was applied to identify dietary patterns. The Edinburgh Postnatal Depressive Scale (EPDS) was used to evaluate depressive symptoms during 3 follow-up pregnancy points. A multiple linear mixed-effects model was applied to verify the association between dietary patterns and depressive symptoms adjusted for obstetric factors, socioeconomic status, and energy intake. Three prepregnancy dietary patterns were identified: common-Brazilian, healthy, and processed. Together, these patterns explained 36.1% of the total percentage of variance; the eigenvalues were 2.88, 2.12, and 1.86, respectively. Mean depressive symptom scores were 9.0 (95% CI: 8.4, 9.6), 7.2 (95% CI: 6.5, 7.8), and 7.0 (95% CI: 6.4, 7.7) for trimesters 1, 2, and 3, respectively. The rate of decrease in depressive symptoms was -0.088/wk (95% CI: -0.115, -0.061; P < 0.001). In the multiple longitudinal linear regression model, the healthy dietary pattern before pregnancy was inversely associated with depressive symptoms (ß:-0.723; 95% CI: -1.277, -0.169; P = 0.011). High adherence to the healthy pattern before pregnancy was associated with lower EPDS scores during pregnancy in women from Rio de Janeiro, Brazil.