Gender differences in anxiety and depressive symptomatology determined by network analysis in panic disorder.
Agoraphobia
Gender differences
Loss of pleasure
Network analysis
Panic disorder
Journal
Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073
Informations de publication
Date de publication:
15 09 2023
15 09 2023
Historique:
received:
20
01
2023
revised:
22
03
2023
accepted:
23
05
2023
medline:
15
6
2023
pubmed:
30
5
2023
entrez:
29
5
2023
Statut:
ppublish
Résumé
It has been suggested that gender differences in anxiety and depressive symptoms characterize panic disorder (PD) in terms of vulnerability to stressful life events, anxiety, depressive symptom patterns, and brain structure. However, few studies have investigated the gender differences in PD using a network approach. This study included 619 participants with PD (313 men). The Panic Disorder Severity Scale, Albany Panic and Phobia Questionnaire, and Beck Depression Inventory-II were used to evaluate symptomatology. To investigate the PD-related white matter (WM) neural correlates, tract-based spatial statistics were used. The PD-related clinical scales and WM neural correlates were included in the network analysis to identify associations between variables. To evaluate network differences between genders, network comparison tests were conducted. Our findings revealed that agoraphobia in men was the strongest central symptom. In addition, loss of pleasure, and not anxiety or panic symptoms, was the strongest central symptom in women with PD. The network comparison test revealed that the bridge strength score was higher in agoraphobia and tiredness in men and in self-criticalness in women. Furthermore, in the network that includes neural correlates of WM, the bridge strength score was higher in the cingulate gyrus WM in men and the cingulum hippocampus in women. Since this is a cross-sectional network study of PD patients, the causal relationship between interactions in this network analysis for both genders may not be accurately determined. Network structures of anxiety and depressive symptomatology and related WM neural correlates can differ according to gender in PD patients.
Sections du résumé
BACKGROUND
It has been suggested that gender differences in anxiety and depressive symptoms characterize panic disorder (PD) in terms of vulnerability to stressful life events, anxiety, depressive symptom patterns, and brain structure. However, few studies have investigated the gender differences in PD using a network approach.
METHODS
This study included 619 participants with PD (313 men). The Panic Disorder Severity Scale, Albany Panic and Phobia Questionnaire, and Beck Depression Inventory-II were used to evaluate symptomatology. To investigate the PD-related white matter (WM) neural correlates, tract-based spatial statistics were used. The PD-related clinical scales and WM neural correlates were included in the network analysis to identify associations between variables. To evaluate network differences between genders, network comparison tests were conducted.
RESULTS
Our findings revealed that agoraphobia in men was the strongest central symptom. In addition, loss of pleasure, and not anxiety or panic symptoms, was the strongest central symptom in women with PD. The network comparison test revealed that the bridge strength score was higher in agoraphobia and tiredness in men and in self-criticalness in women. Furthermore, in the network that includes neural correlates of WM, the bridge strength score was higher in the cingulate gyrus WM in men and the cingulum hippocampus in women.
LIMITATIONS
Since this is a cross-sectional network study of PD patients, the causal relationship between interactions in this network analysis for both genders may not be accurately determined.
CONCLUSION
Network structures of anxiety and depressive symptomatology and related WM neural correlates can differ according to gender in PD patients.
Identifiants
pubmed: 37247787
pii: S0165-0327(23)00732-2
doi: 10.1016/j.jad.2023.05.087
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
94-103Informations de copyright
Copyright © 2023 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that the research was conducted in the absence of any commercial of financial relationships that could be construed as a potential conflict of interest.