Mode of Delivery in Drug-Dependent Pregnant Women: A Case Control Study

Author:

Neves Ana Raquel1ORCID,Neves Fabiane1,Santos Silva Isabel1,Almeida Maria do Céu1,Monteiro Pitorra1

Affiliation:

1. Department of Obstetrics B, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal

Abstract

Objective. To determine the contribution of drug use during pregnancy to the route of delivery.Methods. A case-control study was conducted at a hospital in Coimbra, Portugal, between 2001 and 2014. Drug-dependent pregnant women (n=236) were compared with a control group of low risk women (n=228) in terms of maternal characteristics, obstetric history, pregnancy complications, and labor details. Factors that influenced the mode of delivery were determined. Statistical analysis was performed with SPSS v. 23.0 (IBM Corp.).pvalues < 0.05 were considered statistically significant.Results. Drug-dependent women presented a lower rate of cesarean delivery (18.2 versus 28.9%,p=0.006). After adjusting for the factors that were significantly related to the mode of delivery, drug dependency influenced the rate of cesarean section (β=0.567; 95% CI = 0.328–0.980). Within the drug-dependent group, the mode of delivery was significantly related to previous cesarean or vaginal delivery (p=0.008andp<0.001, resp.) and fetal presentation (p<0.001), but not with the type of drug, route of administration, or substitution maintenance therapy.Conclusions. The drug-dependent group presented a significantly higher rate of vaginal delivery. However, this was not associated with the behavioral factors analyzed. We hypothesize that other social and psychological factors might explain this difference.

Publisher

Hindawi Limited

Subject

Obstetrics and Gynaecology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Pregnancy delivery mode prediction using dichotomous radial basis Tanimoto network;Concurrency and Computation: Practice and Experience;2022-03-12

2. Pregnancy outcome among women with drug dependence: A population-based cohort study of 14 million births;Journal of Gynecology Obstetrics and Human Reproduction;2020-09

3. A Curve Tracer for Photovoltaic Modules Based on The Capacitive Load Method;2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference (COBEP/SPEC);2019-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3