Noralie Schonewille

Chapter 4 98 References 1. Conejo-Galindo, J., et al., Postpartum Relapse in Patients with Bipolar Disorder. J Clin Med, 2022. 11(14): p. 3979. 2. Taylor, C.L., R.J. Stewart, and L.M. Howard, Relapse in the first three months postpartum in women with history of serious mental illness. Schizophr Res, 2019. 204: p. 46-54. 3. Yang, K., J. Wu, and X. Chen, Risk factors of perinatal depression in women: a systematic review and meta-analysis. BMC Psychiatry, 2022. 22(1): p. 63. 4. Wesseloo, R., et al., Risk of Postpartum Relapse in Bipolar Disorder and Postpartum Psychosis: A Systematic Review and Meta-Analysis. Am J Psychiatry, 2016. 173(2): p. 117-127. 5. Puyané, M., et al., Personality traits as a risk factor for postpartum depression: A systematic review and meta-analysis. J Affect Disord, 2022. 298(Pt A): p. 577-589. 6. Edvardsson, K., et al., Severe mental illness and pregnancy outcomes in Australia. A population-based study of 595 792 singleton births 2009-2016. PLoS One, 2022. 17(2): p. e0264512. 7. Etchecopar-Etchart, D., et al., Schizophrenia pregnancies should be given greater health priority in the global health agenda: results from a large-scale meta-analysis of 43,611 deliveries of women with schizophrenia and 40,948,272 controls. Mol Psychiatry, 2022. 27(8): p. 3294-3305. 8. Vlenterie, R., et al., Associations Between Maternal Depression, Antidepressant Use During Pregnancy, and Adverse Pregnancy Outcomes: An Individual Participant Data Meta-analysis. Obstet Gynecol, 2021. 138(4): p. 633-646. 9. Heun-Johnson, H., et al., Association between maternal serious mental illness and adverse birth outcomes. J Perinatol, 2019. 39(5): p. 737-745. 10. Sūdžiūtė, K., et al., Pre-existingmental health disorders affect pregnancy and neonatal outcomes: a retrospectivecohort study. BMC Pregnancy Childbirth, 2020. 20(1): p. 419. 11. Schonewille, N.N., et al., Psychiatric vulnerability and the risk for unintended pregnancies, a systematic review and meta-analysis. BMC Pregnancy Childbirth, 2022. 22(1): p. 153. 12. Abajobir, A.A., et al., A systematic review and meta-analysis of the association between unintended pregnancy and perinatal depression. J Affect Disord, 2016. 192: p. 56-63. 13. Biaggi, A., et al., Identifying the women at risk of antenatal anxiety and depression: A systematic review. J Affect Disord, 2016. 191: p. 62-77. 14. Cheng, D., et al., Unintended pregnancy and associated maternal preconception, prenatal and postpartum behaviors. Contraception, 2009. 79(3): p. 194-198. 15. Lindberg, L., et al., Pregnancy intentions and maternal and child health: an analysis of longitudinal data in Oklahoma. Matern Child Health J, 2015. 19(5): p. 1087-1096. 16. Hall, J.A., et al., Pregnancy Intention and Pregnancy Outcome: Systematic Review and Meta-Analysis. Matern Child Health J, 2017. 21(3): p. 670-704. 17. Nelson, H.D., et al., Associations of Unintended Pregnancy With Maternal and Infant Health Outcomes: A Systematic Review and Meta-analysis. JAMA, 2022. 328(17): p. 1714-1729. 18. Taylor, C.L., et al., The characteristics and health needs of pregnant women with schizophrenia compared with bipolar disorder and affective psychoses. BMC Psychiatry, 2015. 15: p. 88. 19. Bulik, C.M., et al., Unplanned pregnancy in women with anorexia nervosa. Obstet Gynecol, 2010. 116(5): p. 1136-1140. 20. Seeman, M.V. and R. Ross, Prescribing contraceptives for women with schizophrenia. J Psychiatr Pract, 2011. 17(4): p. 258-269. 21. Callegari, L.S., et al., Contraceptive adherence among women Veterans with mental illness and substance use disorder. Contraception, 2015. 91(5): p. 386-392. 22. Association, A.P., Diagnostic and statistical manual of mental disorders 5th ed. 2013. 23. Perined Methodologie Perinatologie Data. 2022. 24. Hoftiezer, L., et al., From population reference to national standard: new and improved birthweight charts. Am J Obstet Gynecol, 2019. 220(4): p. 383.e1-383.e17. 25. APGAR, V., A proposal for a new method of evaluation of the newborn infant. Curr Res Anesth Analg, 1953. 32(4): p. 260-267. 26. Wallace, B.C., et al., Closing the Gap between Methodologists and End-Users: R as a Computational Back-End. 2012, Journal of Statistical Software

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