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Exploring the impact of chronic medical conditions on maternal mental health: A National Inpatient Sample analysis

Pregnancy and postpartum period are associated with stress and pain. Chronic medical conditions can aggravate depressive and psychotic mental illnesses in the peripartum period. The study aimed to investigate the association between different chronic medical conditions and mental illnesses during pr...

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Published in:European journal of obstetrics & gynecology and reproductive biology 2023-10, Vol.289, p.42-47
Main Authors: Abu-Zaid, Ahmed, Gari, Abdulrahim, Alsharif, Saud Abdullah, Alshahrani, Majed Saeed, Khadawardi, Khalid, Ahmed, Albagir Mahdi, Baradwan, Afnan, Bukhari, Ibtihal Abdulaziz, Alyousef, Abdullah, Alharbi, Farooq Shteet, Saleh, Saleh A.K., Adly, Heba M., Abuzaid, Mohammed, Baradwan, Saeed
Format: Article
Language:English
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Summary:Pregnancy and postpartum period are associated with stress and pain. Chronic medical conditions can aggravate depressive and psychotic mental illnesses in the peripartum period. The study aimed to investigate the association between different chronic medical conditions and mental illnesses during pregnancy and the postpartum period using the National Inpatient Sample (NIS). Pregnant women or women in the postpartum period were retrieved from the NIS 2016–2019 database using the International Classification of Diseases (ICD)-10 and set as our targeted population. Postpartum depression, puerperal psychosis, and mental illnesses related to pregnancy were also retrieved as our outcomes of interest. STATA 15 was used to analyze the data and investigate the relationship between chronic medical conditions and pregnancy-related mental illnesses. 2,854,149 admissions were retrieved from the database with a mean age of 29 ± 6 years old. Univariate and multivariate analyses showed a significant association between chronic medical conditions and postpartum depression, puerperal psychosis, and other mental illnesses. On univariate analysis, heart failure (odds ratio [OR] = 13.9; 95% confidence interval [CI] = 3.5–55.88; P 
ISSN:0301-2115
1872-7654
DOI:10.1016/j.ejogrb.2023.08.011