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Objective: Hypertensive disorders of pregnancy (HDP) are responsible for several maternal and fetal complications. This study investigated the occurrence of HDP, associated factors, and neonatal complications in women living in the Western Brazilian Amazon. Methods: This is a population‐based cross‐sectional study with 1521 mother–child pairs enrolled in the Maternal and Child Health and Nutrition in Acre birth cohort (MINA‐Brazil study). All parturients with HDP (registered in the medical records) were identified. Crude and adjusted prevalence ratios were calculated in Poisson regression models with robust variance. Results: The prevalence of HDP was 11.0% (95% CI: 9.5–12.7). Factors associated with the prevalence of HDP were maternal age ≥ 35 years (PR: 1.9; 95% CI: 1.3–3.0), primigravida status (PR: 2.0; 95% CI: 1.5–2.7), pre‐pregnancy obesity (PR: 2.7; 95% CI: 1.9–4.0), higher gestational weight gain (highest quartile RP: 2.5; 95% CI: 1.6–3.8), chronic hypertension (RP: 3.6; 95% CI: 2.7–4.9), and diabetes in pregnancy (RP: 1.9; 95% CI: 1.1–3.2). HDP was associated with risk for caesarean delivery (PR: 1.8; 95% CI: 1.6–2.0) and prematurity (PR: 2.0; 95% CI: 1.3–3.2). Gestational malaria was not associated with HDP in Amazonian pregnant women. Conclusions: Evaluating risk factors before pregnancy and during the prenatal period is essential for reducing adverse maternal and neonatal outcomes. [ABSTRACT FROM AUTHOR]

The human brain experiences intensive connectivity and size transformations after birth.1 Head circumference (HC) shows important increments in size, specifically in the first year; then, this growth rate decelerates over time.2 Identifying the different elements required for proper physical growth in children during critical periods is relevant for primary health care. The regression coefficients ( ) and their 95% confidence intervals (95% CIs) were calculated by multiple linear regression, to assess the independent associations with HC z-score values at the follow-up visit. After multiple adjustments, there were number of variables that were positive predictors of the HC z-score in the first year of life, in addition to the child's age, primiparity, type of delivery and birthweight. [Extracted from the article]