Understanding Anxiety Symptoms of Mood Disorders Across Bipolar and Major Depressive Disorder Using Network Analysis

<i>Background and Objectives:</i> Anxiety is prevalent in patients with major depressive disorder (MDD) and bipolar disorder (BD). Understanding its interaction with mood disorders may provide deeper insight into symptom clustering, severity, and interventions. We compared the networks of MDD and BD using the Beck Anxiety Inventory (BAI) to identify central symptoms and interconnections. <i>Materials and Methods:</i> This cross-sectional study involved 815 individuals with MDD (<i>n</i> = 332) and BD (<i>n</i> = 483) who had clinically significant anxiety symptoms (BAI score > 8). Network analysis identified anxiety symptom clusters. Network centrality, stability, and comparison tests assessed the structural differences and global strength variations between the groups. <i>Results:</i> Both the MDD and BD networks showed strong interconnections among several BAI items and demonstrated stable centrality measures. Core symptoms with high centrality included "Losing control", "Choking", "Breathing", "Unsteady", and "Shaky" in both MDD and BD. Although no significant differences were found in the overall network structures between MDD and BD, the global strength of the network differed significantly, with MDD exhibiting modestly higher overall anxiety network connectivity than BD. <i>Conclusions:</i> Network clusters revealed aspects of both cognitive and somatic symptoms of anxiety. Although overall structures were similar between the groups, the MDD group showed stronger interconnections for central anxiety symptoms. Targeting central anxiety symptoms can enhance prevention and intervention strategies for mood disorders and improve clinical outcomes.

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Journal
Medicina
Published
2025-12-18
DOI
https://doi.org/10.3390/medicina61122245
Primary Topic
Mental Health Research Topics
Type
article
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article

Understanding Anxiety Symptoms of Mood Disorders Across Bipolar and Major Depressive Disorder Using Network Analysis

Woojae Myung, Hyukjun Lee, Hyeona Yu, Sarah Soonji Kwon et al.
Medicina
Mental Health Research Topics
article

Understanding Anxiety Symptoms of Mood Disorders Across Bipolar and Major Depressive Disorder Using Network Analysis

Woojae Myung, Hyukjun Lee, Hyeona Yu, Sarah Soonji Kwon, Hyo Shin Kang, Jungkyu Park, Tae Hyon Ha, Jakyung Lee, Junwoo Jang, Daseul Lee
article en

Abstract

<i>Background and Objectives:</i> Anxiety is prevalent in patients with major depressive disorder (MDD) and bipolar disorder (BD). Understanding its interaction with mood disorders may provide deeper insight into symptom clustering, severity, and interventions. We compared the networks of MDD and BD using the Beck Anxiety Inventory (BAI) to identify central symptoms and interconnections. <i>Materials and Methods:</i> This cross-sectional study involved 815 individuals with MDD (<i>n</i> = 332) and BD (<i>n</i> = 483) who had clinically significant anxiety symptoms (BAI score > 8). Network analysis identified anxiety symptom clusters. Network centrality, stability, and comparison tests assessed the structural differences and global strength variations between the groups. <i>Results:</i> Both the MDD and BD networks showed strong interconnections among several BAI items and demonstrated stable centrality measures. Core symptoms with high centrality included "Losing control", "Choking", "Breathing", "Unsteady", and "Shaky" in both MDD and BD. Although no significant differences were found in the overall network structures between MDD and BD, the global strength of the network differed significantly, with MDD exhibiting modestly higher overall anxiety network connectivity than BD. <i>Conclusions:</i> Network clusters revealed aspects of both cognitive and somatic symptoms of anxiety. Although overall structures were similar between the groups, the MDD group showed stronger interconnections for central anxiety symptoms. Targeting central anxiety symptoms can enhance prevention and intervention strategies for mood disorders and improve clinical outcomes.

MedicinaVol. 61(12)
University of Utah (US), Huntsman Cancer Institute (US), New Generation University College (ET), Seoul National University Bundang Hospital (KR), Kyungpook National University (KR)
Openalex Percentile: Top 56%
Mental Health Research Topics
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