Prenatal hazardous substance use and adverse birth outcomes

Odayme Quesada, Nathan Gotman, Heather B Howell, Edmund F Funai, Bruce J Rounsaville, Kimberly A Yonkers, Odayme Quesada, Nathan Gotman, Heather B Howell, Edmund F Funai, Bruce J Rounsaville, Kimberly A Yonkers

Abstract

Objective: Assess the relative effects of a variety of illicit and licit drugs on risk for adverse birth outcomes.

Methods: We used data from two large prospective investigations, and a novel analytic method, recursive partitioning class analysis to identify risk factors associated with preterm birth and delivering a small for gestational age infant.

Results: Compared to cocaine and opiate non-users, cocaine users were 3.53 times as likely (95% CI: 1.65-7.56; p = 0.001) and opiate users 2.86 times as likely (95% CI: 1.11-7.36; p = 0.03) to deliver preterm. The odds of delivering a small for gestational age infant for women who smoked more than two cigarettes daily was 3.74, (95% CI: 2.47-5.65; p<0.0001) compared to women who smoked two or less cigarettes daily and had one previous child. Similarly, less educated, nulliparous women who smoked two or fewer cigarettes daily were 4.12 times as likely (95% CI: 2.04-8.34; p < 0.0001) to have a small for gestational age infant.

Conclusions: Among our covariates, prenatal cocaine and opiate use are the predominant risk factors for preterm birth; while tobacco use was the primary risk factor predicting small for gestational age at delivery. Multi-substance use did not substantially increase risk of adverse birth outcomes over these risk factors.

Figures

Figure 1
Figure 1
Classification tree for assessing a women’s likelihood of preterm birth (PTB). Ovals indicate decision nodes, while rectangles indicate terminal nodes. The number of women and preterm birth rate (in parentheses) are displayed within each node.
Figure 2
Figure 2
Classification tree for assessing a woman’s likelihood for small for gestation age (SGA). Ovals indicate decision nodes, while rectangles indicate terminal nodes. The number of women and SGA rate (in parentheses) are displayed within each node.

Source: PubMed

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