Evidence map›Paper›PMID 41797612›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2026

Stable structure, shifting links: How depression-anxiety symptom networks reconfigure from pregnancy to postpartum.

Alberto Stefana, Fiorino Mirabella, Antonella Gigantesco, Gemma Calamandrei, Laura Camoni, Perinatal Mental Health Network Group

Abstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Alberto StefanaDepartment of Psychiatry and Behavioral Health, https://ror.org/00rs6vg23Ohio State University, Columbus, OH, USA.ORCID https://orcid.org/0000-0002-4807-7184
Fiorino MirabellaCenter for Behavioural Sciences and Mental Health, National Institute of Health, Rome, Italy.ORCID https://orcid.org/0000-0001-8090-9465
Antonella GigantescoCenter for Behavioural Sciences and Mental Health, National Institute of Health, Rome, Italy.ORCID https://orcid.org/0000-0001-9262-7756
Gemma CalamandreiCenter for Behavioural Sciences and Mental Health, National Institute of Health, Rome, Italy.ORCID https://orcid.org/0000-0003-3762-3132
Laura CamoniCenter for Behavioural Sciences and Mental Health, National Institute of Health, Rome, Italy.ORCID https://orcid.org/0000-0001-9007-6479
Perinatal Mental Health Network Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNetwork analysis was employed to test whether the overall pattern of depressive-anxious symptom connections remains stable or whether specific symptom-to-symptom links shift from pregnancy to postpartum.

methodsIn a perinatal sample (n = 4,461 pregnant women, n = 5,711 postpartum women), depressive and anxiety symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) and Generalized Anxiety Disorder-7 (GAD-7). Phase-specific polychoric Gaussian graphical models were estimated with EBICglass. We examined strength and bridge centrality, community structure, and nodewise predictability, and compared networks using the network comparison test.

resultsDepression and anxiety formed four reproducible communities (one GAD-7 worry/arousal and three EPDS affective/anhedonic, anxious-cognitive distress, and depressed affect/sleep-suicidality modules) with identical partitions across phases. Global strength was similar, but postpartum networks showed higher edge density and more negative partial correlations, suggesting localized changes in which symptom pairs were directly linked-and how strongly-across phases. Across phases, Sadness, Crying, Uncontrollable worrying, and Trouble relaxing were most central and predictable. Worry-, arousal-, and sleep-related symptoms (e.g., hard to sleep) showed the strongest bridge centrality postpartum, and Self-harm was a prominent bridge during pregnancy; several edges shifted between phases, including stronger Enjoyment-Self-harm and weaker Hard to sleep-Self-harm postpartum.

conclusionsPerinatal depression and anxiety organize into cohesive yet partially distinct symptom networks that remain globally stable but show localized shifts in direct symptom-to-symptom connections from pregnancy to postpartum. Central affective and arousal nodes, particularly sadness, pathological worry, and sleep disturbance, may be high-yield targets for phase-tailored screening and intervention.

Indexed as

AnxietyDepressionDepression, PostpartumPostpartum PeriodPregnancy ComplicationsAdultFemaleGeneralized Anxiety DisorderHumansPregnancyantepartumanxietydepressionnetwork analysispostpartumpregnancy

Identifiers

PMID41797612
PMCPMC13122523

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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.