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A systematic review and meta-analysis of psychological predictors of successful assisted reproductive technologies
Purewal, Satvinder Chapman, Sarah van den Akker, Olga
Purewal, Satvinder
Chapman, Sarah
van den Akker, Olga
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2017-12-07
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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.
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Purewal, S., Chapman, S., van den Akker, O. 'A systematic review and meta-analysis of psychological predictors of successful assisted reproductive technologies', BMC Research Notes, 10:711 doi: 10.1186/s13104-017-3049-z
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Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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This research was funded by the British Academy small grant award (SG100026).