Birth weight, physical morbidity, and mortality: a population-based sibling-comparison study

Am J Epidemiol. 2014 Mar 1;179(5):550-8. doi: 10.1093/aje/kwt304. Epub 2013 Dec 18.


Associations between low birth weight (≤2,500 g) and increased risk of mortality and morbidity provided the foundation for the "developmental origins of health and disease" hypothesis. Previous between-family studies could not control for unmeasured confounders. Therefore, we compared differentially exposed siblings to estimate the extent to which the associations were due to uncontrolled factors. Our population cohort included 3,291,773 persons born in Sweden from 1973 to 2008. Analyses controlled for gestational age, among other covariates, and considered birth weight as both an ordinal and a continuous variable. Outcomes included mortality after 1 year, cardiac-related death, hypertension, ischemic heart disease, pulmonary circulation problems, stroke, and type 2 diabetes mellitus. We fitted fixed-effects models to compare siblings and conducted sensitivity analyses to test alternative explanations. Across the population, the lower the birth weight, the greater the risk of mortality (e.g., cardiac-related death (low birth weight hazard ratio = 2.69, 95% confidence interval: 2.05, 3.53)) and morbidity (e.g., type 2 diabetes mellitus (low birth weight hazard ratio = 1.79, 95% confidence interval: 1.50, 2.14)) outcomes in comparison with normal birth weight. All associations were independent of shared familial confounders and measured covariates. Results emphasize the importance of birth weight as a risk factor for subsequent mortality and morbidity.

Keywords: birth weight; cardiovascular diseases; diabetes mellitus; fetal development; stroke.

Publication types

  • Comparative Study

MeSH terms

  • Adolescent
  • Adult
  • Birth Weight*
  • Child
  • Child, Preschool
  • Female
  • Gestational Age
  • Humans
  • Infant, Low Birth Weight
  • Male
  • Morbidity*
  • Mortality*
  • Proportional Hazards Models
  • Siblings
  • Sweden / epidemiology
  • Young Adult