The effect of prenatal cannabis exposure on offspring preterm birth: a cumulative meta-analysis

Addiction. 2023 Apr;118(4):607-619. doi: 10.1111/add.16072. Epub 2022 Nov 15.

Abstract

Background and aims: Mixed results have been reported on the association between prenatal cannabis exposure and preterm birth. This study aimed to examine the magnitude and consistency of associations reported between prenatal cannabis exposure and preterm birth.

Methods: This review was guided by the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. We performed a comprehensive search of the literature on the following electronic databases: PubMed, EMBASE, SCOPUS, Psych-INFO and Web of Science. The revised version of the Newcastle-Ottawa Scale (NOS) was used to appraise the methodological quality of the studies included in this review. Inverse variance weighted random-effects cumulative meta-analysis was undertaken to pool adjusted odds ratios (aOR) after sequential inclusion of each newly published study over time. The OR and 95% confidence interval (CI) limits required (stability threshold) for a new study to move the cumulative odds ratio to the null were also computed.

Results: A total of 27 observational studies published between 1986 and 2022 were included in the final cumulative meta-analysis. The sample size of the studies ranged from 304 to 4.83 million births. Prenatal cannabis exposure was associated with an increased risk of preterm birth (pooled aOR = 1.35, 95% CI = 1.24-1.48). The stability threshold was 0.74 (95% CI limit = 0.81) by the end of 2022.

Conclusions: Offspring exposed to maternal prenatal cannabis use was associated with higher risk of preterm birth, which warrants public health messages to avoid such exposure, particularly during pregnancy.

Keywords: Cannabis; cumulative meta-analysis; offspring; pregnancy; preterm birth; stability thresholds.

Publication types

  • Meta-Analysis
  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cannabis* / adverse effects
  • Female
  • Humans
  • Infant, Newborn
  • Pregnancy
  • Premature Birth* / epidemiology