ArticleJournal of affective disorders2023
The structure of mood and anxiety disorder symptoms in the perinatal period.
Article in Journal of affective disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- The role of emotion regulation in perinatal depression and anxiety: a systematic review.BMC psychology · 2024Pooled it
- Characterizing the spectrum of distress symptoms in midlife women with perimenopausal depression.Journal of affective disorders · 2026Trial
- Effect of mindfulness stress reduction combined with cognitive behavioral therapy on perinatal anxiety disorder and maternal-infant bonding.World journal of psychiatry · 2025Trial
- Examining dynamic changes in prefrontal connectivity and internalizing symptoms during the first and third trimesters of pregnancy.Journal of neuroendocrinology · 2026Article
- Evaluating a hierarchical structural model of psychopathology symptoms across pregnancy and the postpartum period.Journal of psychopathology and clinical science · 2026Article
- Core Symptoms and Candidate Targets for Symptom Management in Late Pregnancy: A Network Analysis.Journal of multidisciplinary healthcare · 2026Article
- Coordination of inflammatory and adrenocortical stress response during pregnancy and variation by mental health.Brain, behavior, & immunity - health · 2025Article
- Psychological Distress in Childbearing Persons During the COVID-19 Pandemic: A Multi-Trajectory Study of Anger, Anxiety, and Depression.Depression and anxiety · 2025Article
- Outcomes at the Motherhood Center: A Comparison of Virtual and On-Site Versions of a Specialized Perinatal Partial Hospitalization Program.Maternal and child health journal · 2024Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe perinatal period is increasingly recognized as a vulnerable time for the development and exacerbation of psychiatric symptoms. Research has often focused on perinatal depression, with much less information on perinatal anxiety. This study examined the psychometric structure of all internalizing (anxiety and mood disorder symptoms) in the perinatal period.
methodsParticipants were primarily community adults receiving prenatal care from an academic medical center (N = 246). Participants completed a structured clinical interview using the Interview for Mood and Anxiety Symptoms (IMAS) during pregnancy (28-32 weeks gestation) and the postpartum (6-8 weeks). Clinical interviews dimensionally assessed all current anxiety, mood, and obsessive-compulsive symptoms as well as lifetime psychiatric diagnoses.
resultsConfirmatory factor analyses identified three latent factors onto which psychiatric symptoms loaded: Distress (depression, generalized anxiety, irritability, and panic symptoms), Fear (social anxiety, agoraphobia, specific phobia, and obsessive-compulsive symptoms), and Bipolar (mania and obsessive-compulsive symptoms) in both pregnancy and the postpartum. The fit statistics of the models indicated adequate to good fit in both models. LIMITATIONS: The IMAS is validated against the DSM-IV-TR rather than the DSM-5 and assessments of psychiatric symptoms were focused only on the current pregnancy.
conclusionsA three-factor model consisting of Distress, Fear and Bipolar latent factors was the best-fitting model in pregnancy and the postpartum period and showed stability across time. The structure of internalizing symptoms has important implications for future perinatal research and can be utilized to guide treatment by highlighting which psychiatric symptoms may be most similar during the perinatal period.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.