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AIMS AND METHOD: This cross-sectional study, carried out from 2021 to 2022, investigated the factors associated with domestic violence in 400 Brazilian pregnant women during the COVID-19 pandemic. Violence was assessed with the World Health Organization's Violence Against Women questionnaire and the Abuse Assessment Screen. Demographic, socioeconomic, obstetric, lifestyle and mental health data were collected. RESULTS: Violence at any time in their lives was reported by 52.2% of the women, and psychological violence was the most prevalent type (19.5%). Violence was associated with being single and mental health changes. Pregnant women exposed to any lifetime violence and psychological violence were, respectively, 4.67 and 5.93 times more likely to show mental health changes compared with women with no reported violence. CLINICAL IMPLICATIONS: Training health professionals involved in prenatal care in the early detection of single women and women with mental health changes could be important in preventing domestic violence.

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Objective. Bioimpedance spectroscopy (BIS) is a popular technique for the assessment of body composition in children and adults but has not found extensive use in babies and infants. This due primarily to technical difficulties of measurement in these groups. Although improvements in data modelling have, in part, mitigated this issue, the problem continues to yield unacceptably high rates of poor quality data. This study investigated an alternative data modelling procedure obviating issues associated with BIS measurements in babies and infants.Approach.BIS data are conventionally analysed according to the Cole model describing the impedance response of body tissues to an appliedACcurrent. This approach is susceptible to errors due to capacitive leakage errors of measurement at high frequency. The alternative is to model BIS data based on the resistance-frequency spectrum rather than the reactance-resistance Cole model thereby avoiding capacitive error impacts upon reactance measurements.Main results.The resistance-frequency approach allowed analysis of 100% of data files obtained from BIS measurements in 72 babies compared to 87% successful analyses with the Cole model. Resistance-frequency modelling error (percentage standard error of the estimate) was half that of the Cole method. Estimated resistances at zero and infinite frequency were used to predict body composition. Resistance-based prediction of fat-free mass (FFM) exhibited a 30% improvement in the two-standard deviation limits of agreement with reference FFM measured by air displacement plethysmography when compared to Cole model-based predictions.Significance.This study has demonstrated improvement in the analysis of BIS data based on the resistance frequency response rather than conventional Cole modelling. This approach is recommended for use where BIS data are compromised by high frequency capacitive leakage errors such as those obtained in babies and infants.

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Integrative network analysis (INA) is important for identifying gene modules or epigenetically regulated molecular pathways in diseases. This study evaluated the effect of excessive gestational weight gain (EGWG) on INA of differentially methylated regions, maternal metabolism and offspring growth. Brazilian women from "The Araraquara Cohort Study" with adequate pre-pregnancy body mass index were divided into EGWG (n=30) versus adequate gestational weight gain (AGWG, n=45) groups. The methylome analysis was performed on maternal blood using the Illumina MethylationEPIC BeadChip. Fetal-neonatal growth was assessed by ultrasound and anthropometry, respectively. Maternal lipid and glycemic profiles were investigated. Maternal triglycerides-TG (p=0.030) and total cholesterol (p=0.014); fetus occipito-frontal diameter (p=0.005); neonate head circumference-HC (p=0.016) and thoracic perimeter (p=0.020) were greater in the EGWG compared to the AGWG group. Multiple linear regression analysis showed that maternal DNA methylation was associated with maternal TG and fasting insulin, fetal abdominal circumference, and fetal and neonate HC. The DMRs studied were enriched in 142 biological processes, 21 molecular functions,and 17 cellular components with terms directed for the fatty acids metabolism. Three DMGMs were identified:COL3A1, ITGA4 and KLRK1. INA targeted chronic diseases and maternal metabolism contributing to an epigenetic understanding of the involvement of GWG in maternal metabolism and fetal-neonatal growth.

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Background and objective: Imprinted genes are important for the offspring development. To assess the relationship between obesity-related H19DMR methylation and H19 and IGF2 gene expression and offspring growth and body composition. Methods: Thirty-nine overweight/obese and 25 normal weight pregnant women were selected from the "Araraquara Cohort Study" according to their pre-pregnancy BMI. Fetal growth and body composition and newborn growth were assessed, respectively, by ultrasound and anthropometry. The methylation of H19DMR in maternal blood, cord blood, maternal decidua and placental villi tissues was evaluated by methylation-sensitive restriction endonuclease qPCR, and H19 and IGF2 expression by relative real-time PCR quantification. Multiple linear regression models explored the associations of DNA methylation and gene expression with maternal, fetal, and newborn parameters. Results: H19DMR was less methylated in maternal blood of the overweight/obese group. There were associations of H19DMR methylation in cord blood with centiles of fetal biparietal diameter (BPD) and abdominal subcutaneous fat thickness and newborn head circumference (HC); H19DMR methylation in maternal decidua with fetal occipitofrontal diameter (OFD), HC, and length; H19DMR methylation in placental villi with fetal OFD, HC and abdominal subcutaneous fat thickness and with newborn HC. H19 expression in maternal decidua was associated with fetal BPD and femur length centiles and in placental villi with fetal OFD and subcutaneous arm fat. IGF2 expression in maternal decidua was associated with fetal BPD and in placental villi with fetal OFD. Conclusion: To our knowledge, this is the first study to demonstrate associations of imprinted genes variations at the maternal-fetal interface of the placenta and in cord blood with fetal body composition, supporting the involvement of epigenetic mechanisms in offspring growth and body composition.

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BACKGROUND: Changes in body weight are associated with the regulation of DNA methylation (DNAm). In this study, we investigated the associations between maternal gestational weight gain-related DNAm and foetal and neonatal body composition. METHODS: Brazilian pregnant women from the Araraquara Cohort Study were followed up during pregnancy, delivery, and after hospital discharge. Women with normal pre-pregnancy BMI were allocated into two groups: adequate gestational weight gain (AGWG, n = 45) and excessive gestational weight gain (EGWG, n = 30). Foetal and neonatal body composition was evaluated via ultrasound and plethysmography, respectively. DNAm was assessed in maternal blood using Illumina Infinium MethylationEPIC BeadChip arrays. Linear regression models were used to explore the associations between DNAm and foetal and neonatal body composition. RESULTS: Maternal weight, GWG, neonatal weight, and fat mass were higher in the EGWG group. Analysis of DNAm identified 46 differentially methylated positions and 11 differentially methylated regions (DMRs) between the EGWG and AGWG groups. Nine human phenotypes were enriched for these 11 DMRs located in 13 genes (EMILIN1, HOXA5, CPT1B, CLDN9, ZFP57, BRCA1, POU5F1, ANKRD33, HLA-B, RANBP17, ZMYND11, DIP2C, TMEM232), highlighting the terms insulin resistance, and hyperglycaemia. Maternal DNAm was associated with foetal total thigh and arm tissues and subcutaneous thigh and arm fat, as well as with neonatal fat mass percentage and fat mass. CONCLUSION: The methylation pattern in the EGWG group indicated a risk for developing chronic diseases and involvement of maternal DNAm in foetal lean and fat mass and in neonatal fat mass.

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Although studies show that the intake of ultra-processed products (UPP) has a negative impact on health, diet quality and dietary vitamin D, its influence on serum concentrations of this vitamin remains unknown; therefore, it is essential to verify the association between the UPP consumption and vitamin D deficiency. This is a cross-sectional, household, population-based study, carried out with 229 individuals aged 20 years or older, residents of the city of Teresina, Piauí, Brazil. Socio-demographic, lifestyle, food consumption and anthropometric data were collected. Food consumption was obtained using a 24-h food recall, and foods were grouped according to the NOVA classification. Plasma concentrations of calcidiol-25 (OH) D3 were determined by HPLC. Crude and adjusted binary logistic regression was applied to estimate the association between UPP consumption and vitamin D deficiency. Most individuals aged 20-39 years were vitamin D deficient (52·1 %). UPP contributed 19·9 % to the energetic intake of the participant's diet. This contribution was higher for individuals with vitamin D deficiency (22·5 %, P = 0·04). In addition, a high intake of UPP was associated with twice the risk of vitamin D deficiency in comparison with low consumption of UPP (OR: 2·05; CI 1·06, 4·50; P: 0·04). Our results suggest that the consumption of UPP may have a negative impact on serum concentrations of vitamin D; more studies are needed.

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Abstract Objective To investigate associations of maternal and cord blood cytokine patterns with newborn size and body composition. Methods This cross-sectional study involved 70 pregnant women and their healthy newborns selected from the "Araraquara Cohort Study". Newborn anthropometric measurements were recorded at birth. Body composition was evaluated by air displacement plethysmography. Maternal blood samples were collected from pregnant women between 30 and 36 weeks of gestation, and umbilical cord blood samples were collected immediately after placenta discharge. The concentrations of the cytokines were determined in plasma by ELISA. Multiple linear regression models were used to assess associations between maternal and cord blood cytokine concentrations and newborn anthropometry and body composition measurements. Results Maternal plasma TGF-β1 concentration was inversely associated with newborn weight (β= -43.0; p= 0.012), length (β= -0.16, p= 0.028), head circumference (β= -0.13, p= 0.004), ponderal index (β= -0.32, p= 0.011) and fat-free mass (β= -0.05, p= 0.005). However, the association persisted just for head circumference (β= -0.26; p= 0.030) and ponderal index (β= - 0.28; p= 0.028), after adjusting for pre-gestational BMI, gestational weight gain, gestational age, hours after delivery, newborn sex, smoking and alcohol consumption. Conclusions Maternal plasma TGF-β1 concentration may be involved in the regulation of newborn size, mainly head circumference and ponderal index. Further cohort studies are necessary to investigate the role of TGF-β1 in different trimesters of pregnancy and its effect during the early stages of fetal development.

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Obesity is increasing in incidence worldwide, especially in women, which can affect the outcome of pregnancy. During this period, viral infections represent a risk to the mother, the placental unit, and the fetus. The Zika virus (ZIKV) outbreak in Brazil has been the cause of congenital Zika syndrome (CZS), with devastating consequences such as microcephaly in newborns. Herein, we analyzed the impact of maternal overweight/obesity on the antiviral factors' expression in the placental tissue of Zika-infected mothers. We accessed placentas from women with and without obesity from 34 public health units (São Paulo) and from Zika-infected mothers with and without obesity from the Clinical Cohort Study of ZIKV pregnant women (Rio de Janeiro, Brazil). We first verified that obesity, without infection, did not alter the constitutive transcriptional expression of antiviral factors or IFN type I/III expression. Interestingly, obesity, when associated with ZIKV infection, showed a decreased transcriptional expression of RIG-I and IFIH1 (MDA-5 protein precursor gene). At the protein level, we also verified a decreased RIG-I and IRF-3 expression in the decidual placenta from the Zika-infected obese group, regardless of microcephaly. This finding shows, for the first time, that obesity associated with ZIKV infection leads to an impaired type I IFN downstream signaling pathway in the maternal-fetal interface.

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OBJECTIVE: To investigate associations of maternal and cord blood cytokine patterns with newborn size and body composition. METHODS: This cross-sectional study involved 70 pregnant women and their healthy newborns selected from the "Araraquara Cohort Study". Newborn anthropometric measurements were recorded at birth. Body composition was evaluated by air displacement plethysmography. Maternal blood samples were collected from pregnant women between 30 and 36 weeks of gestation, and umbilical cord blood samples were collected immediately after placenta discharge. The concentrations of the cytokines were determined in plasma by ELISA. Multiple linear regression models were used to assess associations between maternal and cord blood cytokine concentrations and newborn anthropometry and body composition measurements. RESULTS: Maternal plasma TGF-ß1 concentration was inversely associated with newborn weight (ß = -43.0; p = 0.012), length (ß = -0.16, p = 0.028), head circumference (ß = -0.13, p = 0.004), ponderal index (ß = -0.32, p = 0.011) and fat-free mass (ß = -0.05, p = 0.005). However, the association persisted just for head circumference (ß = -0.26; p = 0.030) and ponderal index (ß = - 0.28; p = 0.028), after adjusting for pre-gestational BMI, gestational weight gain, gestational age, hours after delivery, newborn sex, smoking and alcohol consumption. CONCLUSIONS: Maternal plasma TGF-ß1 concentration may be involved in the regulation of newborn size, mainly head circumference and ponderal index. Further cohort studies are necessary to investigate the role of TGF-ß1 in different trimesters of pregnancy and its effect during the early stages of fetal development.

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ABSTRACT Objective: To screen children under 24 months of age for neuropsychomotor and social-emotional development in a municipality of the Brazilian semi-arid region, using the Survey of Well-Being of Young Children (SWYC) scale. Methods: This is a quantitative cross-sectional study with a non-probabilistic sample, involving children aged 1 to 24 months and their respective mothers, recruited from primary care services in the municipality of Picos, Piauí, Northeastern Brazil. The screening for neuropsychomotor and social-emotional development using the SWYC scale also provided information about the family context. In addition, we administered a questionnaire to assess the children's demographic and socioeconomic factors. Descriptive data analysis was performed. Results: The sample consisted mostly of adult mothers (84.0%), with more than 8 years of schooling (83.3%), belonging to the C, D, and E socioeconomic classes (75.3%). The prevalence of suspected cases of delayed neuropsychomotor development and social-emotional changes was 12.7 and 42.2%, respectively. Conclusions: The results point to the existence of children at risk of delayed development, particularly in the social-emotional domain, reaffirming the need to adopt child development screening as a health service routine, with the implementation of appropriate intervention programs.

RESUMO Objetivo: Realizar a triagem para desenvolvimento neuropsicomotor e socioemocional em crianças menores de 24 meses, em município da região do semiárido brasileiro, utilizando a escala Survey of Wellbeing of Young Children (SWYC). Métodos: Estudo transversal, com abordagem quantitativa, amostra não proba­bilística, envolvendo crianças entre 1 e 24 meses e suas respectivas mães, selecionadas em serviços de saúde da atenção básica do município de Picos, Piauí. A triagem do desenvolvimento neuropsicomotor e socioemocional com uso da escala SWYC também forneceu informações sobre o contexto familiar. Além disso, utilizou-se questionário para avaliar fatores demográficos e socioeconômicos das crianças. Realizou-se a análise descritiva dos dados. Resultados: A amostra foi constituída de mães em sua maioria adultas (84,0%), com mais de oito anos de estudo (83,3%), pertencentes às classes socioeconômicas C, D e E (75,3%). A prevalência de casos suspeitos de atraso no desenvolvimento neuropsicomotor e de alterações socioemocionais foi de 12,7 e 42,2%, respectivamente. Conclusões: Os resultados apontam a existência de crianças em risco de desenvolvimento, sobretudo socioemocional, reafirmando a necessidade da adoção da triagem para desenvolvimento infantil como rotina nos serviços de saúde, com a implantação de programas de intervenção apropriados.