Birth outcomes among American Indian/Alaska Native women with diabetes in pregnancy

J Reprod Med. 2003 Aug;48(8):610-6.

Abstract

Objective: To describe perinatal outcomes and maternal characteristics among American Indian/Alaska Native (AI/AN) women with diabetes in pregnancy.

Study design: A retrospective analysis of live births to AI/AN, African American and white women with diabetes (242,715) during pregnancy for the 1989-1991 period (latest available at the time of study) was conducted utilizing a linked birth/infant death database from the National Center for Health Statistics. AI/AN perinatal outcomes and maternal characteristics were compared to those of African American and white women. Similar analyses compared urban and rural AI/AN populations.

Results: AI/AN women were more likely than white women to receive inadequate prenatal care (10.4%), to have higher rates of pregnancy-induced hypertension (9.1%) and to have significantly lower rates of primary cesarean delivery (16.9% vs. 22.3%). The rate of macrosomia among births to AI/AN women (24.2%) was notably higher as compared to that in the white population (17.9%). Rates of musculoskeletal and chromosomal anomalies were also higher among AI/AN women, 9 and 4, respectively, per 1,000 live births, as compared to 6 and 2 per 1,000 for the white population.

Conclusion: Multiple maternal risk factors and birth outcomes demonstrate the need for further research to evaluate methods of improving care in this population.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Alaska / epidemiology
  • Black or African American / statistics & numerical data
  • Diabetes, Gestational / ethnology*
  • Female
  • Humans
  • Indians, North American / statistics & numerical data*
  • Maternal Behavior / ethnology*
  • Pregnancy
  • Pregnancy Outcome / ethnology*
  • Prenatal Care / statistics & numerical data
  • Retrospective Studies
  • Risk Factors
  • Rural Population / statistics & numerical data*
  • Urban Population / statistics & numerical data
  • White People / statistics & numerical data*