Human milk oligosaccharide (HMO) composition varies throughout lactation and can be influenced by maternal characteristics. This study describes HMO variation up to three months postpartum and explores the influences of maternal sociodemographic and anthropometric characteristics in a Brazilian prospective cohort. We followed 101 subjects from 28–35 gestational weeks (baseline) and throughout lactation at 2–8 (visit 1), 28–50 (visit 2) and 88–119 days postpartum (visit 3). Milk samples were collected at visits 1, 2 and 3, and 19 HMOs were quantified usinghigh-performance liquid chromatography with fluorescence detection (HPLC-FL). Friedman post-hoc test, Spearman rank correlation for maternal characteristics and HMOs and non-negative matrix factorization (NMF) were used to define the HMO profile. Most women were secretors (89.1%) and presented high proportion of 2′-fucosyllactose (2′FL) at all three sample times, while lacto-N-tetraose (LNT, 2–8 days) and lacto-N-fucopentaose II (LNFPII, 28–50 and 88–119 days) were the most abundant HMOs in non-secretor women. Over the course of lactation, total HMO weight concentrations (g/L) decreased, but total HMO molar concentrations (mmol/L) increased, highlighting differential changes in HMO composition over time. In addition, maternal pre-pregnancy body mass index (BMI) and parity influence the HMO composition in healthy women in this Brazilian cohort.

Processed and ultra-processed food consumption among children aged 13 to 35 months and associated factors Consumo de alimentos processados e ultraprocessados e fatores associados em crianças entre 13 e 35 meses de idade Consumo de alimentos procesados y ultraprocesados y factores asociados en niños entre 13 y 35 meses de edad

This study estimated the percentages of incomplete immunization with new vaccines and old vaccines and associated factors in children 13 to 35 months of age belonging to a birth cohort in São Luís, the capital of Maranhão State, Brazil. The sample was probabilistic, with 3,076 children born in 2010. Information on vaccination was obtained from the Child's Health Card. The new vaccines, namely those introduced in 2010, were meningococcal C and 10-valent pneumococcal, and the old vaccines, or those already on the childhood immunization schedule, were BCG, hepatitis B, human rotavirus, polio, tetravalent (diphtheria, tetanus, pertussis, Haemophilus influenzae b), yellow fever, and triple viral (measles, mumps, rubella). The study used hierarchical modeling and Poisson regression with robust variance. Prevalence ratios (PR) and 95% confidence intervals (95%CI) were calculated. Incomplete immunization was higher with new vaccines (51.1%) than with old vaccines (33.2%). Children 25 to 35 months of age (PR = 1.27; 95%CI: 1.14-1.41) and those in economic classes D/E (PR = 1.20; 95%CI: 1.06-1.35) were only significantly associated with new vaccines; low maternal schooling (PR = 1.58; 95%CI: 1.21-2.06), unavailability of outpatient and/or hospital care for the child (PR = 1.20; 95%CI: 1.04-1.38), and unavailability of the vaccine in health services (PR: 1.28; 95%CI: 1.12-1.46) were only associated with old vaccines. Immunization strategies should consider the vulnerability of older preschool-age children and those belonging to classes D and E, especially when new vaccines are introduced, as well as children of mothers with low schooling. Strategies should also address problems with the availability of health services and vaccines.

Background Self-reported pre-pregnancy weight and weight measured in the first trimester are both used to estimate pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) but there is limited information on how they compare, especially in low- and middle-income countries, where access to a weight scale can be limited. Thus, the main goal of this study was to evaluate the agreement between self-reported pre-pregnancy weight and weight measured during the first trimester of pregnancy among Brazilian women so as to assess whether self-reported pre-pregnancy weight is reliable and can be used for calculation of BMI and GWG. Methods Data from the Brazilian Maternal and Child Nutrition Consortium (BMCNC, n = 5563) and the National Food and Nutritional Surveillance System (SISVAN, n = 393,095) were used to evaluate the agreement between self-reported pre-pregnancy weight and weights measured in three overlapping intervals (30–94, 30–60 and 30–45 days of pregnancy) and their impact in BMI classification. We calculated intraclass correlation and Lin’s concordance coefficients, constructed Bland and Altman plots, and determined Kappa coefficient for the categories of BMI. Results The mean of the differences between self-reported and measured weights was < 2 kg during the three intervals examined for BMCNC (1.42, 1.39 and 1.56 kg) and about 1 kg for SISVAN (1.0, 1.1 and 1.2 kg). Intraclass correlation and Lin’s coefficient were > 0.90 for both datasets in all time intervals. Bland and Altman plots showed that the majority of the difference laid in the ±2 kg interval and that the differences did not vary according to measured first-trimester BMI. Kappa coefficient values were > 0.80 for both datasets at all intervals. Using self-reported pre-pregnancy or measured weight would change, in total, the classification of BMI in 15.9, 13.5, and 12.2% of women in the BMCNC and 12.1, 10.7, and 10.2% in the SISVAN, at 30–94, 30–60 and 30–45 days, respectively. Conclusion In Brazil, self-reported pre-pregnancy weight can be used for calculation of BMI and GWG when an early measurement of weight during pregnancy is not available. These results are especially important in a country where the majority of woman do not initiate prenatal care early in pregnancy.

No abstract

Pooled data analysis in the field of maternal and child nutrition rarely incorporates data from low- and middle-income countries and existing studies lack a description of the methods used to harmonize the data and to assess heterogeneity. We describe the creation of the Brazilian Maternal and Child Nutrition Consortium dataset, from multiple pooled longitudinal studies, having gestational weight gain (GWG) as an example. Investigators of the eligible studies published from 1990 to 2018 were invited to participate. We conducted consistency analysis, identified outliers, and assessed heterogeneity for GWG. Outliers identification considered the longitudinal nature of the data. Heterogeneity was performed adjusting multilevel models. We identified 68 studies and invited 59 for this initiative. Data from 29 studies were received, 21 were retained for analysis, resulting in a final sample of 17,344 women with 72,616 weight measurements. Fewer than 1% of all weight measurements were flagged as outliers. Women with pre-pregnancy obesity had lower values for GWG throughout pregnancy. GWG, birth length and weight were similar across the studies and remarkably similar to a Brazilian nationwide study. Pooled data analyses can increase the potential of addressing important questions regarding maternal and child health, especially in countries where research investment is limited.

Depression and anxiety are common during pregnancy, but little is known about the influence of these disorders on gestational weight gain (GWG). Data from a prospective cohort of pregnant women followed in a public healthcare center in Rio de Janeiro, Brazil, were used to evaluate the association of depression, anxiety, and suicide risk with GWG. GWG was evaluated at 5–13, 20–26, 30–36, and 37–42 weeks, and GWG adequacy was determined. Statistical analyses included linear mixed-effect models and Poisson regression. We evaluated 206 women, in which 15% (n = 31) presented major depressive disorder, 19.4% (n = 34) suicide risk and 10% (n = 21) generalized anxiety disorder at baseline. Women with depression at the first trimester, persistent depressive symptoms, and anxiety symptoms at the second trimester presented significantly lower rates of GWG per week compared to those without depression or anxiety, respectively. Persistent depressive symptoms represented a 2.40 (95% CI 1.20; 4.81; p = 0.013) increase in the risk of insufficient GWG. There was no significant association between generalized anxiety disorder or suicide risk with GWG. The presence of depression, depressive symptoms, and anxiety during pregnancy were associated with lower GWG rates. Persistent depressive symptoms during pregnancy were directly associated with insufficient GWG.

Resumo: O objetivo do trabalho foi comparar biomarcadores em grupos de adolescentes classificados simultaneamente pelo índice de massa corporal (IMC) e percentual de gordura corporal, mensurados por meio da pletismografia por deslocamento de ar. Estudo transversal com 533 adolescentes de 18 e 19 anos de São Luís, Maranhão, Brasil. O IMC foi classificado em adequado (< 25kg/m2) e excesso de peso (≥ 25kg/m2). Definiu-se percentual de gordura corporal elevado ≥ 25% para o sexo masculino e ≥ o feminino. Os adolescentes foram classificados em quatro grupos: “eutrófico” (IMC e percentual de gordura corporal adequados), “obeso de peso normal” (IMC adequado com percentual de gordura corporal elevado), “excesso de peso com percentual de gordura corporal adequado” e “excesso de peso com percentual de gordura corporal elevado”. As meninas registraram maiores valores de “obesidade de peso normal” (15,6%) e “excesso de peso com percentual de gordura corporal elevado” (17,1%). Os adolescentes “obesos de peso normal” apesentaram maiores médias para colesterol total (172,5mg/dL) e LDL-colesterol (103,5mg/dL). Aqueles com “excesso de peso e percentual de gordura corporal elevado” registraram a menor média para HDL-colesterol (43,2mg/dL) em relação aos outros grupos; maior média para interleucina-6 (2,7pg/mL) em relação aos “eutróficos” e “excesso de peso e percentual de gordura corporal adequado”; e maiores medianas para triglicerídeos (114,0mg/dL) e proteína C reativa (0,14ng/mL) em relação aos “eutróficos” e “obesos de peso normal”. Os com “excesso de peso e percentual de gordura corporal adequado” apresentaram proteína C reativa igual aos com “excesso de peso e percentual de gordura corporal elevado”. A avaliação do estado nutricional pelo IMC é limitada, pois 6,8% dos adolescentes registraram percentual de gordura corporal elevado apesar do IMC normal, além disto, os “obesos de peso normal” apresentaram dois biomarcadores piores que os adolescentes com “excesso de peso e percentual de gordura corporal elevado”.