Related Experiment Video
Updated: Mar 17, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Obesity, Diabetes, and Birth Outcomes Among American Indians and Alaska Natives
Kermyt G Anderson1, Paul Spicer2,3, Michael T Peercy4
1Department of Anthropology, University of Oklahoma, 521 Dale Hall Tower, 455 West Lindsey, Norman, OK, 73019, USA. kganders@ou.edu.
Insights
American Indians and Alaska Natives (AI/AN) experience higher diabetes rates, but unlike other groups, prepregnancy weight does not predict preterm birth. Diabetes increases preterm birth risk for all groups, and all studied factors increase macrosomia risk.
Area of Science:
- Reproductive health
- Maternal-fetal medicine
- Health disparities
Background:
- Prepregnancy diabetes mellitus (DM), gestational diabetes mellitus (GDM), and prepregnancy body mass index (BMI) are associated with adverse birth outcomes.
- Significant racial and ethnic disparities exist in diabetes and obesity rates in the US.
Purpose of the Study:
- To compare the associations of DM, GDM, and prepregnancy BMI with preterm delivery (PTB), low birthweight (LBW), and macrosomia.
- To specifically examine these relationships in American Indian and Alaska Native (AI/AN) populations compared to other race/ethnic groups.
Main Methods:
- Analysis of 5,193,386 singleton US first births from 2009-2013.
- Logistic regression models were used to calculate adjusted odds ratios.
- Covariates included calendar year, maternal age, education, marital status, prenatal care index, and child's sex.
Main Results:
- AI/AN populations exhibit higher rates of diabetes, overweight, and obesity compared to other groups.
- Prepregnancy overweight or obesity did not predict PTB for AI/AN, contrasting with other groups. Diabetes predicted increased PTB odds for all groups.
- Overweight was associated with reduced LBW odds for all groups, but obesity and diabetes were not predictive of LBW for AI/AN. DM, GDM, overweight, and obesity all predicted higher odds of macrosomia across all groups.
Conclusions:
- Diabetes in pregnancy and prepregnancy weight management are crucial for reducing PTB and macrosomia, particularly among AI/AN women.
- Understanding race/ethnic differences in the impact of metabolic and weight factors on birth outcomes is essential for targeted interventions.
Abstract:
Objectives To examine the relationships between prepregnancy diabetes mellitus (DM), gestational diabetes mellitus (GDM), and prepregnancy body mass index, with several adverse birth outcomes: preterm delivery (PTB), low birthweight (LBW), and macrosomia, comparing American Indians and Alaska Natives (AI/AN) with other race/ethnic groups. Methods The sample includes 5,193,386 singleton US first births from 2009-2013. Logistic regression is used to calculate adjusted odds ratios controlling for calendar year, maternal age, education, marital status, Kotelchuck prenatal care index, and child's sex. Results AI/AN have higher rates of diabetes than all other groups, and higher rates of overweight and obesity than whites or Hispanics. Neither overweight nor obesity predict PTB for AI/AN, in contrast to other groups, while diabetes predicts increased odds of PTB for all groups. Being overweight predicts reduced odds of LBW for all groups, but obesity is not predictive of LBW for AI/AN. Diabetes status also does not predict LBW for AI/AN; for other groups, LBW is more likely for women with DM or GDM. Overweight, obesity, DM, and GDM all predict higher odds of macrosomia for all race/ethnic groups. Conclusions for Practice Controlling diabetes in pregnancy, as well as prepregnancy weight gain, may help decrease preterm birth and macrosomia among AI/AN.
Related Concept Videos
Diabetes Mellitus: Type 2 and Gestational
Pathophysiology of Diabetes
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
Obesity
Pharmacokinetics in Obese Patients: Drug Absorption and Distribution
Drug Dosing: Obese Patients
Diabetes: Symptoms, Diagnosis, and Complications

