A systematic review and meta-analysis of psychological predictors of successful assisted reproductive technologies
Article
Purewal, S., Chapman, S. and van den Akker, O. 2017. A systematic review and meta-analysis of psychological predictors of successful assisted reproductive technologies. BMC Research Notes. 10. https://doi.org/10.1186/s13104-017-3049-z
Type | Article |
---|---|
Title | A systematic review and meta-analysis of psychological predictors of successful assisted reproductive technologies |
Authors | Purewal, S., Chapman, S. and van den Akker, O. |
Abstract | 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. 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. |
Publisher | BioMed Central |
Journal | BMC Research Notes |
ISSN | 1756-0500 |
Publication dates | |
07 Dec 2017 | |
Publication process dates | |
Deposited | 18 Dec 2017 |
Submitted | 19 Sep 2017 |
Accepted | 30 Nov 2017 |
Output status | Published |
Publisher's version | License |
Digital Object Identifier (DOI) | https://doi.org/10.1186/s13104-017-3049-z |
Language | English |
https://repository.mdx.ac.uk/item/8760x
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