Neighborhood disadvantage, preconception stressful life events, and infant birth weight

Am J Public Health. 2015 May;105(5):1044-52. doi: 10.2105/AJPH.2015.302566. Epub 2015 Mar 19.

Abstract

Objectives: We sought to determine whether the effects of preconception stressful life events (PSLEs) on birth weight differed by neighborhood disadvantage.

Methods: We drew our data from the Early Childhood Longitudinal Study, Birth Cohort (2001-2002; n = 9300). We created a neighborhood disadvantage index (NDI) using county-level data from the 2000 US Census. We grouped the NDI into tertiles that represented advantaged, middle advantaged, and disadvantaged neighborhoods. Stratified multinomial logistic regressions estimated the effect of PSLEs on birth weight, controlling for confounders.

Results: We found a gradient in the relationship between women's exposure to PSLEs and having a very low birth weight (VLBW) infant by NDI tertile; the association was strongest in disadvantaged neighborhoods (adjusted odd ratio [AOR] = 1.62; 95% confidence interval [CI] = 1.04, 2.53), followed by middle (AOR = 1.39; 95% CI = 1.00, 1.93) and advantaged (AOR = 1.29; 95% CI = 0.91, 1.82) neighborhoods. We observed a similar gradient for women with chronic conditions and among minority mothers.

Conclusions: Women who experienced PSLEs, who had chronic conditions, or were racial/ethnic minorities had the greatest risk of having VLBW infants if they lived in disadvantaged neighborhoods; this suggests exacerbation of risk within disadvantaged environments. Interventions to reduce rates of VLBW should focus on reducing the deleterious effects of stressors and on improving neighborhood conditions.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Chronic Disease
  • Health Behavior
  • Humans
  • Infant, Very Low Birth Weight*
  • Life Change Events*
  • Longitudinal Studies
  • Poverty*
  • Residence Characteristics / statistics & numerical data*
  • Socioeconomic Factors
  • Stress, Psychological / epidemiology*