Literature DB >> 33002727

Sex differences in depressive symptoms and their networks in a treatment-seeking population - a cross-sectional study.

Johannes Simon Vetter1, Tobias Raphael Spiller2, Flurin Cathomas3, Donald Robinaugh4, Annette Brühl5, Heinz Boeker5, Erich Seifritz5, Birgit Kleim5.   

Abstract

BACKGROUND: The higher prevalence of major depressive disorder (MDD) in females relative to males is well-established. Some authors have posited this difference arises to divergent symptom profiles in females vs. males. However, empirical tests of this hypothesis have yielded equivocal results. Here, we investigate sex differences in MDD of individual symptoms and symptom networks in a treatment-seeking sample.
METHODS: We assessed depressive symptoms using Hamilton Depression Rating Scale (HDRS-17) in 590 treatment-seeking adults with MDD (300 females). We examined group differences in symptom endorsement. We investigated symptom networks and estimated Gaussian Graphical Models. Finally, we compared the female and male networks using the Network Comparison Test.
RESULTS: Females scored significantly higher in psychological anxiety (p <0.001; rB = -0.155), somatic anxiety (p = .001; rB = -0.150) and feelings of guilt (p = .002; rB = -0.139). Male and female patients did not differ in depression sum scores. There were no sex differences in network structure or global strength. LIMITATIONS: Our study was sufficiently powered to detect only medium sized symptom differences. The generalizability of our study is limited to clinical samples and further studies are needed to investigate if findings also translate to outpatient samples.
CONCLUSION: Females reported elevated anxiety symptoms and guilt. Clinicians should assess these symptom differences and tailor treatment to individual symptom profiles. No differences between sexes emerged in MDD network structures, indicating that features may be more similar than previously assumed. Sex differences in psychopathological features of MDD are important for future research and personalized treatment.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Depression; Differences; Network analysis; Sex; Symptoms

Mesh:

Year:  2020        PMID: 33002727      PMCID: PMC8086368          DOI: 10.1016/j.jad.2020.08.074

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


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