| Title |
Obesity, Diabetes, and Birth Outcomes Among American Indians and Alaska Natives
|
|---|---|
| Published in |
Maternal and Child Health Journal, July 2016
|
| DOI | 10.1007/s10995-016-2080-3 |
| Pubmed ID | |
| Authors |
Kermyt G. Anderson, Paul Spicer, Michael T. Peercy |
| 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. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 13% |
| Student > Master | 11 | 10% |
| Student > Doctoral Student | 11 | 10% |
| Student > Ph. D. Student | 9 | 8% |
| Researcher | 6 | 5% |
| Other | 21 | 19% |
| Unknown | 40 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 21% |
| Nursing and Health Professions | 15 | 13% |
| Psychology | 5 | 4% |
| Social Sciences | 5 | 4% |
| Agricultural and Biological Sciences | 3 | 3% |
| Other | 17 | 15% |
| Unknown | 43 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 July 2016.
All research outputs
#19,436,760
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#1,694
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#289,321
of 371,020 outputs
Outputs of similar age from Maternal and Child Health Journal
#88
of 108 outputs
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