Association between maternal nutritional extremes and offspring mortality: A population-based cross-sectional study, Brazil, Demographic Health Survey 2006

Midwifery. 2015 Sep;31(9):897-903. doi: 10.1016/j.midw.2015.04.016. Epub 2015 May 7.

Abstract

Objective: to estimate the association between maternal nutritional extremes and offspring mortality in the Brazilian population.

Methods: this cross-sectional study used secondary data from Brazilian women of reproductive age obtained from the National Demographic and Health Survey 2006. Maternal anthropometric indices were used: height, body mass index (BMI), and waist circumference. Logistic regression modelling was used to evaluate the relationship between obesity and offspring mortality. The data analysis was appropriate for the complex sample design.

Results: children of mothers of short stature were at greater risk of death in the postnatal period than children of mothers of normal height, even after adjusting for sociodemographic characteristics [odds ratio (OR) 4.54, 95% confidence interval (CI) 1.31-15.77]. Maternal obesity was associated with mortality, and children whose mothers were abdominally obese were at greater risk of dying in the neonatal period (OR 3.19, 95% CI 1.23-8.27). Children of mothers who were overweight or obese (BMI≥25kg/m(2)) were at greater risk of dying in the neonatal period (OR 2.41, 95% CI 1.12-5.16), and children of malnourished mothers (BMI<18.5kg/m(2)) were at greater risk of dying during the postneonatal period (OR 9.47, 95% CI 2.07-43.41).

Conclusion: maternal obesity is a risk factor for neonatal death, maternal malnutrition is a risk factor for postneonatal death, and maternal short stature is a risk factor for mortality among Brazilian children.

Keywords: Infant mortality; Maternal malnutrition; Maternal obesity; Neonatal mortality; Postneonatal mortality.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Composition
  • Body Height
  • Brazil / epidemiology
  • Comorbidity
  • Cross-Sectional Studies
  • Female
  • Humans
  • Infant
  • Infant Mortality / trends*
  • Infant, Newborn
  • Malnutrition / mortality*
  • Maternal Mortality / trends*
  • Nutritional Status*
  • Pregnancy
  • Pregnancy Complications / mortality*
  • Regression Analysis
  • Risk Factors
  • Socioeconomic Factors