Maternal diet quality and associations with body composition and diet quality of preschool children: A longitudinal study.

BACKGROUND: Nutrition, associated with nutritional status, influences the growth of children. This study aimed to identify the association between maternal diet quality and the diet and body composition of their children. METHODS: This is a prospective longitudinal study with mother-child pairs. To assess diet quality, nutritional status, and socioeconomic data, two interviews in the children's first and third months of life (2011-2016) and one interview when children were of preschool age (2017-2019) were performed. Diet quality was assessed based on daily food consumption and frequency, considering: 1) food groups, based on the Brazilian food pyramid; 2) level of processing, according to the NOVA classification (unprocessed and/or minimally processed foods, processed foods and ultra-processed foods). One-way ANOVA with Tukey post hoc and Kruskal-Wallis with Dunn's post hoc tests were used to evaluate the influence of factors on children's diet quality. Pearson and Spearman's correlations were used to evaluate the relationship between maternal and children's diet quality, maternal schooling level, and child age. Along with the nutritional assessment of children, multiple linear regression models assessed the impact of covariables on maternal and children's diet quality. RESULTS: Eighty-three mother-child pairs participated in this study. The more frequent the maternal consumption of unprocessed and/or minimally processed foods, the higher the consumption of these foods by children (r = +0.30; p = 0.006) and the lower their subscapular skinfold (SSF) thickness (p = 0.011; ß = -0.278). On the other hand, the higher the maternal consumption of ultra-processed foods, the higher the children's tricipital skinfold (TSF) thickness (p = 0.010; ß = +0.274) and SSF (p = 0.043; ß = +0.222). CONCLUSION: Maternal diet quality was associated with the diet and body composition of children.

Prevalence of Congenital Anomaly and Its Relationship with Maternal Education and Age According to Local Development in the Extreme South of Brazil.

Congenital anomalies (CA) contribute to disabilities and health conditions throughout life. Furthermore, they can cause emotional distress to the mothers and children, who may also experience limitations in individual and social development. This study investigated the prevalence of CA and the relationship with maternal education and age according to local development in the extreme south of Brazil. This is a retrospective observational study with birth data from the Live Birth Information System from 2000 to 2017. The association between age and maternal education with the presence of CA was verified using multiple Poisson regression for robust variances in models adjusted for those variables with a preliminary significant association. A total of 5131 (1.5%) had some CA identified at birth between 2000 and 2017. Only advanced age (≥36 years) was associated with CA regardless of macro-region development (p ≤ 0.001). The highest risk was observed in regions with medium development (RR = 1.60; 95% CI 1.30−1.97). Maternal education (<8 years of study) was associated with CA only in mothers from macro-regions with very high development (RR = 1.27; 95% CI 1.03−1.54). These analyses confirmed that women of advanced age are at greater risk of having children with a CA regardless of maternal education and local development, but social characteristics can also have an influence, as regions with higher development had lower prevalence of CA.

The influence of the municipal human development index and maternal education on infant mortality: an investigation in a retrospective cohort study in the extreme south of Brazil.

BACKGROUND: Infant mortality is considered an important and sensitive health indicator in several countries, especially in underdeveloped and developing countries. Most of the factors influencing infant mortality are interrelated and are the result of social issues. Therefore, this study performed an investigation of the influence of the MHDI and maternal education on infant mortality in a capital in the extreme south of Brazil. METHODS: It is a retrospective cohort study with data on births and deaths in the first year of life for the period of 2000-2017. The association between the independent variables and the outcome was done by bivariate analysis through simple Poisson regression. The variables that can potentially be considered confounding factors were used in a multiple Poisson regression for robust variances - adjusted model. RESULTS: The study included 317,545 children, of whom 3107 died. The medium MHDI showed associated with infant death in the first year of life. Maternal education, individually and jointly analyzed with the MHDI, showed association with the outcome of infant death in the first year of life, particularly for children of mothers with lower maternal education (p < 0.001). In relation to other related factors, maternal age; number of Prenatal Care Consultations; gestational age, weight, gender and Apgar Index (5th minute) of the newborn showed association with IM (p < 0.001). CONCLUSIONS: The HDI is considered a good predictor of infant mortality by some authors and the analyzes of the present study also confirm an association of the medium MHDI and its low MHDIE component with infant mortality. In addition, it was maternal education with less than 8 years of study that that demonstrated a higher risk of death, revealing itself to be a social determinant with a relevant impact on infant mortality. Thus, it is possible to conclude that maternal education is available information, and it is superior to the MHDI to assess the infant mortality outcome.