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A systematic review and meta-analysis of lifestyle and body mass index predictors of successful assisted reproductive technologies.

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Bibliographic Details
Title:	A systematic review and meta-analysis of lifestyle and body mass index predictors of successful assisted reproductive technologies.
Authors:	Purewal, Satvinder, Chapman, S. C. E., van den Akker, O. B. A
Source:	Journal of Psychosomatic Obstetrics & Gynecology. Mar2019, Vol. 40 Issue 1, p2-18. 17p.
Subjects:	Reproductive technology, Body mass index, Meta-analysis, Childbirth, Random effects model
Abstract:	Objective: Lifestyle (smoking, drinking alcohol) and body mass index (BMI) predictors of successful outcomes in assisted reproductive technology (ART) treatments were examined in this meta-analysis.Method: A bibliographic search was undertaken using six databases. The review was informed by PRISMA/MOOSE guidelines. Meta-analytic data were analysed using random effects models.Results: We included 77 studies examining effects of BMI, smoking and drinking alcohol. Patients with a BMI< =24.9 were significantly more likely to achieve LB/pregnancy than with BMI> =25 OR = 1.219 (95% CI:1.128-1.319, z = 4.971, p < .001; I2 = 53.779%, p = .001). Non-smokers were significantly more likely to achieve a LB or pregnancy than smokers OR = 1.457 (95% CI:1.228-1.727, z = 4.324, p < .001; I2 = 51.883; p = .001). Meta-regression revealed the number of embryos transferred significantly moderated the effects of smoking on ART outcomes, and there was a trend indicating primary infertility and high BMI were also significant moderators. The evidence for drinking alcohol was inconclusive due to the small number of studies.Conclusions: This meta-analysis confirms that ART treatment success can be predicted with lifestyle factors. Further, non-smokers' relative odds of pregnancy/live birth increase as more embryos were transferred but there was a trend that the odds of pregnancy/live birth decrease with primary infertility and high BMI. [ABSTRACT FROM AUTHOR]
	Copyright of Journal of Psychosomatic Obstetrics & Gynecology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Psychology and Behavioral Sciences Collection
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