Early exposure to environmental pollutants and weight gain in children. Rio de Janeiro city / Brazil

摘要

Background/Aim: In utero and early postnatal environmental pollutants exposures, can change the metabolism, predisposing individuals to the development of chronic diseases later in life. To evaluate prenatal exposure and to test viability for a birth cohort study, a pilot study was conducted in newborns at the School Maternity of the Federal University of Rio de Janeiro (ME-UFRJ), from October 2017 until August 2018, aiming to evaluate the exposure to the following environmental pollutants: metals, pyrethroids, organochlorines and organophosphates and plasticizers to investigate exposure to environmental pollutants and weight gain in children during the first six months of life. Methodology: The study was attended by 142 pregnant from Rio de Janeiro city, with delivery at ME-UFRJ. Interviews with exposure data and measurements on maternal samples of blood, urine and hair in the third trimester of gestation were performed, and umbilical cord and urine samples were collected from the newborns. In the follow-up of infants in the first, third and sixth month, neuropsychomotor and cognitive development assessments are performed through the Denver Developmental Screening Test, anthropometric measures and breast milk and baby's urine collected. After laboratory analysis, maternal and child exposure data will be checked, and statistical tests applied. The descriptive analysis of the data will be obtained from simple frequencies, measures of central tendency and variability. Multiple analysis techniques will be used according to the outcomes and exposures, using logistic regression for binary outcomes. Expected results Changes in the developmental patterns of children at birth and up to 6 months of age, represented by impairment of weight and height growth. Conclusions: To date we do not have the laboratory results to correlate with clinical findings. However, clinical exams point in the direction of subtle changes, requiring laboratory data to associate with these findings.