Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births

Authors

  • Deepa Dongarwar Center of Excellence in Health Equity, Training and Research, Baylor College of Medicine, Houston, Texas, USA
  • Anjali Aggarwal Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas, USA
  • Kenneth Barning Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas, USA
  • Hamisu Mohammed Salihu Department of Family and Community Medicine, Baylor College of Medicine, Houston, Texas, USA

DOI:

https://doi.org/10.21106/ijma.344

Keywords:

  • Trends in stillbirth,
  • Stillbirth phenotypes,
  • Stillbirth in US

Abstract

We examined the trends in stillbirth across gestational age in the United States (US).We conducted a trend analysis using the U.S. Natality and Fetal Death datasets covering 1982 and 2017. We compared the incidence and rates of stillbirth for term, all preterm, moderate-to-late preterm, very preterm, and extreme preterm phenotypes. The incidence of stillbirth decreased for the entire birth cohort over the 36-year period. The rates of overall, term, all preterm, very preterm and moderate-to-late preterm stillbirth decreased from 1982 to 2017; however, the rates for extreme preterm stillbirth increased by about 7.6% over the same study period.

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Published

2020-02-19
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How to Cite

Dongarwar, D., Aggarwal, A., Barning, K., & Salihu, H. M. (2020). Trends in Stillbirths and Stillbirth Phenotypes in the United States: An Analysis of 131.5 Million Births. International Journal of Maternal and Child Health and AIDS, 9(1), 146–148. https://doi.org/10.21106/ijma.344

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Copyright © 2020 Deepa Dongarwar, Anjali Aggarwal, Kenneth Barning, Hamisu Mohammed Salihu. Published by Global Health and Education Projects, Inc., USA.

Creative Commons License

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , which permits others to remix, transform, and build upon the work non-commercially, provided the original author is credited and the new creations are licensed under the same terms.