Mohamed A Mohamed¹*, Kyonna Moore² and Hany Aly¹

¹Department of Neonatology, Cleveland Clinic Children’s, USA
²Newborn Services, The George Washington University Hospital, USA

*Corresponding Author: Mohamed A Mohamed, Vice Chair, Department of Neonatology, Cleveland Clinic Children’s, USA.

Received: February 22, 2022; Published: March 23, 2022

Abstract

Objective: To examine the risk of preterm birth and small for gestational age (SGA) outcomes in relation to maternal depressive disorders.

Methods: This study utilized the discharge records of 2,680,437 women who had given birth during the years of 2009, 2010, and 2011 in the U.S. Maternal depressive disorders, preterm birth, and SGA were identified using ICD9 codes. Logistic regression models were used to examine the association of maternal depressive disorders diagnosed prior to or during pregnancy with preterm birth or SGA in the offspring while controlling for several demographic, clinical and perinatal factors.

Results: Compared to women with no depressive disorders, the adjusted odds ratios (aOR) for mothers with depressive disorders to have preterm birth or SGA babies were 1.18 (CI:1.14-1.22, p < 0.001) and 1.19 (CI:1.13-1.26, p < 0.001), respectively while controlling for confounding variables. Examining the association of depressive disorders with preterm birth or SGA in different racial/ethnic groups revealed similar associations.

Conclusions: Preterm birth and SGA outcomes are increased in pregnant women with depressive disorders. Future research should focus on prompt screening of pregnant women for maternal depressive disorders and provide proper care that may modify risks of theses adverse outcomes.

Keywords: Preterm Birth; Small for Gestational Age; Adverse Birth Outcomes; Mental Illness During Pregnancy; Maternal Depressive Disorders; Maternal Depression

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Citation: Mohamed A Mohamed., et al. “Maternal Depressive Disorder and Neonatal Birth Outcomes". Acta Scientific Clinical Case Reports 3.4 (2022): 68-74.

Copyright: © 2022 Mohamed A Mohamed., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.