Association between perinatal mood and anxiety disorders treatment status and infant outcomes among privately insured
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Le résumé fourni par la source
PURPOSE: To examine the association between maternal perinatal mood and anxiety disorder (PMAD) treatment status and infant outcomes. METHODS: We used a US-based, geographically diverse administrative dataset of commercially insured birthing individuals with newly diagnosed PMAD in the 12-months prior to delivery 2016–2020, with a live linked newborn in Optum’s Clinformatics® Data Mart Database. Our independent variable of interest was evidence of treatment for PMAD diagnosis. Our outcomes of interest were preterm birth (PTB), neonatal intensive care unit (NICU) admission, and neonatal abstinence syndrome (NAS). RESULTS: Treatment with psychotherapy only was significantly associated with 21% lower odds of PTB compared to no evidence of treatment (aOR: 0.79). Medication-only treatment and combined treatment were not associated with increased risk of PTB. Individuals in the combined treatment group had 24% greater odds of infant NICU admission (aOR: 1.24) compared to those without treatment. Individuals in the medication-only group had 4.18 times the odds of having an infant diagnosed with NAS compared to individuals without treatment (4.4% vs. 1%), while individuals in the combined treatment group had 4.32 times the odds (4.5% vs. 1%), respectively (aOR: 4.18, 4.32). CONCLUSIONS: Pharmacotherapy use and combination treatments for PMAD may indicate higher disease severity, a risk factor for poor infant outcomes. Discussion of risks associated with pharmacotherapy use must also include a discussion of risks associated with untreated perinatal mental health conditions for birthing individuals and their infants. CLINICAL TRIAL NUMBER: Not applicable.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Association between perinatal mood and anxiety disorders treatment status and infant outcomes among privately insured
- Date Crossref
- 17/01/2026
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Henry Ford Health pays non établi dans la noticeOrganisation à but non lucratif
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University of Michigan Department of Systems pays non établi dans la noticeUniversité ou école supérieure
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VA Ann Arbor Healthcare System pays non établi dans la noticeÉtablissement de santé
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Michigan Medicine pays non établi dans la noticeÉtablissement de santé
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VA Center for Clinical Management Research pays non établi dans la noticeÉtablissement de santé
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Center for Health Policy and Health Services Research pays non établi dans la noticeInstitution
Henry Ford Health, Department of Systems — University of Michigan et VA Ann Arbor Healthcare System, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.