BMC Women's Health (Sep 2023)

Associations between domestic violence and poor pregnancy outcomes in taiwanese women: a nested case–control study

  • Chia-Ling Lin,
  • Jui-Chiung Sun,
  • Chun-Ping Lin,
  • Chi-Hsiang Chung,
  • Wu-Chien Chien

DOI
https://doi.org/10.1186/s12905-023-02602-x
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 7

Abstract

Read online

Abstract Background and aims Domestic violence (DV) are one of the important risk factors for women’s health outcomes. The aim of this study was explored the risk of DV association with the poor pregnancy outcomes (PPOs), including premature delivery, abortion, and stillbirth. Methods A nested case–control study was applied. Data from the Taiwan National Health Insurance Research Database were collected from 2000 to 2015. A total of 41,730 participants were included in this study, including 8,346 participants in the case group and 33,384 age- and index year-matched control group. Assessments of DA and PPOs were determined according to the International Classification of Diseases, 9th Revision. We conducted a conditional logistic regression analysis to estimate the effect of DV on PPOs. Results The mean age was 35.53 in the 41,730 female participants. The overall incidence rate of PPOs of the participants, who had experienced DV, was 84.05 per 100,000 person-years. which was significantly higher than that for the controls (18.19 per 100,000 person-years). The risk of PPOs was higher in the participants who had experienced DV than in the controls (adjusted odds ratio [AOR] = 3.31; 95% confidence interval [CI] [95% CI]: 2.83–3.86), including for premature delivery (AOR = 3.57; 95% CI: 3.05–4.17), abortion (AOR = 3.31; 95% CI: 2.83–3.86) and stillbirth (AOR = 2.98; 95% CI: 2.55–3.47). The results showed that the longer a participant has been suffering DV, the risk of PPOs was higher. Conclusions Present results reaved the risk of PPOs associated with DV. Especially, the longer a woman has been experiencing DV, the risk of PPOs was higher, showed a dose–response effect.

Keywords