A systematic review and meta‑analysis of psychological predictors of successful assisted reproductive technologies

Purewal, Satvinder, Chapman, Sarah and van den Akker, Olga ORCID: https://orcid.org/0000-0002-3529-4358 (2017) A systematic review and meta‑analysis of psychological predictors of successful assisted reproductive technologies. BMC Research Notes, 10 . ISSN 1756-0500 [Article] (doi:10.1186/s13104-017-3049-z)

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Official URL: https://doi.org/10.1186/s13104-017-3049-z

Abstract

Objectives: The aim of this systematic review and meta-analysis was to perform an updated investigation of the effects of depression and anxiety on pregnancy outcomes following assisted reproductive technologies. A bibliographic search was performed using PubMed, PsycINFO, Embase, Science Direct databases. Data retrieved were analysed using a random effects model to estimate standardised mean differences.

Results: Of the 22 included studies, 18 investigated depression, 15 state anxiety, and seven trait anxiety. Data from 4018 patients were included in the meta-analysis. Results indicated that women who achieved pregnancy or a live birth reported lower levels of depression pre-treatment than those who did not, although the effects were small d = − 0.177 (95% CI − 0.327 to − 0.027, z = 2.309, p = 0.021). These results were consistent under different methodological conditions and the quality of these observational were graded as satisfactory. A similar pattern was seen for
state (d = − 0.096, 95% CI − 0.180 to − 0.012: z = 2.241, p = 0.025) and trait anxiety (d = − 0.188, 95% CI − 0.007 to 0.356, z = 2.181, p = 0.029). More research is needed to investigate the impact of psychological variables on assisted reproductive technologies outcomes and moderator influences during assisted reproductive technologies processes.

Item Type:	Article
Research Areas:	A. > School of Science and Technology > Psychology > Applied Health Psychology group
Item ID:	23121
Useful Links:	Middlesex University Expert Profile
Depositing User:	Olga Van Den akker
Date Deposited:	08 Dec 2017 16:14
Last Modified:	29 Nov 2022 20:22
URI:	https://eprints.mdx.ac.uk/id/eprint/23121

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