Pregnancy intention in relation to maternal and neonatal outcomes in women with vs without psychiatric diagnoses 97 pregnancy planning. Both qualitative and quantitative studies could consider the role of intimate partner violence, social support, and autonomy in studying the impact of UPs in women with psychiatric diagnoses. To further evaluate neonatal outcomes, psychological adaptation to an UP during pregnancy and consequent presence or absence of psychological distress could be included in studies as a moderating variable. Last, our data provide insights in the short-term outcomes after UPs. Little is known about long-term outcomes after Ups in women with (severe) psychiatric disorders, such as mother child interaction and parenting stress51,52. To conclude, our data confirm the hypothesis that current/past psychiatric diagnoses are associated with UPs. Women with depressive, personality and substance abuse disorders have increased odds for UPs compared to women without these diagnoses. These findings underscore the need for attention for pregnancy planning in psychiatric healthcare, especially as these psychiatric disorders have a high prevalence in society. We found no differences in maternal and neonatal outcomes after UPs versus intended pregnancies, neither did we find clinically relevant modification of psychiatric diagnosis on the relation between pregnancy intention and outcomes. Our data attenuate previous findings on adverse neonatal outcomes after UPs in addition to adverse pregnancy outcomes for women with psychiatric diagnoses. Although our study is limited by several factors, short-term maternal and neonatal outcomes for women with current/past psychiatric diagnoses in a hospital population might be better than expected. Increased efforts are needed to ensure that psychoeducation and conversations about pregnancy planning and UPs are available for women with current/past psychiatric diagnoses. Acknowledgments We thank Nadine Rijkers, Dasha Hageman, Margaux Pons, Noa Roumimper, Mei Yi de Jong, Yunus Erkan, Lisa Staghouwer, Sabine Westinga, and Githa Panman for their help with data cleaning.
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