3 years ago
Meta-analysis of the association of maternal smoking and passive smoking during pregnancy with neural tube defects
Xin Meng, Wenhou Duan, Chongqi Jia, Yanxin Sun
Background
It is unclear whether the incidence of neural tube defects (NTDs) is greater with maternal smoking or with passive smoking during pregnancy.
Objectives
To compare the effects of smoking and passive smoking during pregnancy on the risk of NTDs.
Search strategy
English and Chinese databases were searched for relevant papers published before March 2017, using search terms including “smoking” and “NTD.”
Selection criteria
Case–control and cohort studies on the aforementioned association were included.
Data collection and analysis
Two authors independently extracted the original data. Meta-analyses were performed to assess the risks associated with smoking and passive smoking, followed by a comparison of the two pooled effect estimates. The I2 statistic was used to examine between-study heterogeneity.
Main results
The final analysis included 23 articles representing 33 studies. The pooled odds ratio (OR) and 95% confidence interval (CI) for the risk of NTDs was 1.052 (0.907–1.220) with smoking and 1.898 (1.557–2.313) with passive smoking. Comparison of these ORs indicated that the risk of NTDs was higher with passive smoking than with smoking (OR 1.804, 95% CI 1.409–2.309).
Conclusions
Compared with smoking, exposure to passive smoking during pregnancy carries a higher risk of having infants with NTDs.
Publisher URL: http://onlinelibrary.wiley.com/resolve/doi
DOI: 10.1002/ijgo.12334
You might also like
Never Miss Important Research
Researcher is an app designed by academics, for academics. Create a personalised feed in two minutes.
Choose from over 15,000 academics journals covering ten research areas then let Researcher deliver you papers tailored to your interests each day.
Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.