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Effect of Parity on Pregnancy-Associated Hypertension Among Asian American Women in the United States

  • Chaohua LiEmail author
  • Jose N. Binongo
  • Vijaya Kancherla
Article

Abstract

Objectives

Pregnancy-associated hypertension (PAH) includes gestational hypertension, preeclampsia and eclampsia. Although a protective effect of multi-parity on PAH has been reported in previous studies, the association has not been examined among Asian American women in the U.S.

Methods

Using data from 2014 U.S. National Vital Statistics System, we examined the prevalence of PAH among Asian American women who had singleton live births (N = 235,303), and its association with parity (number of previous pregnancies including live births and fetal deaths) controlling for potential confounders. We estimated adjusted odds ratios (aORs) and 95% confidence intervals (CI) using multivariable logistic regression analysis.

Results

Overall, 2.72% (95% CI 2.66%, 2.79%) of Asian American women were recorded to have PAH during pregnancy. Parity was inversely associated with PAH in our study, where Asian American women who had 1–2 and 3 or more previous pregnancies had significantly lower odds of PAH (aOR 0.61, 95% CI 0.58, 0.65; and aOR 0.62, 95% CI 0.57, 0.68, respectively) compared to nulliparous women, after controlling for potential confounders.

Conclusions

Recent U.S. vital statistics data revealed that nulliparity is significantly associated with PAH among Asian American women. Future studies should identify specific factors that are associated with PAH and factors contributing to disparities in PAH risk among Asian American women.

Keywords

Parity Pregnancy-associated hypertension Asian American Risk factors Maternal health 

Notes

Compliance with Ethical Standards

Conflict of interest

The authors have declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Epidemiology, Rollins School of Public HealthEmory UniversityAtlantaUSA
  2. 2.Department of Biostatistics and Bioinformatics, Rollins School of Public HealthEmory UniversityAtlantaUSA

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