Subtypes of somatic symptom disorder: A secondary analysis of a multicenter cross-sectional study
Background: Somatic symptom disorder (SSD) is common and has high heterogeneity.
Objective: This study aimed to identify subtypes of SSD based on a multicenter cross-sectional study in China.
Methods: We analyzed data from 235 patients diagnosed with SSD. Exploratory graph analysis (EGA) was used to identify dimensions of somatic symptoms. Latent profile analysis (LPA) was then applied to classify patients into subtypes based on their symptom profiles across these dimensions. Finally, Bayesian network analysis was employed to explore the distinct patterns of relationships among psychological characteristics within each subtype.
Results: EGA revealed a four-dimensional structure of somatic symptoms: gastrointestinal, musculoskeletal, cardiopulmonary, and neurological/general. LPA classified patients into two distinct subtypes: a generalized somatic symptom subtype (GSS-type), with symptoms spanning all four dimensions, and a localized somatic symptom subtype (LSS-type), with symptoms not covering all dimensions. Patients in the GSS-type group reported significantly higher levels of anxiety (t = 5.482, p < 0.001), depressive symptoms (t = 6.576, p < 0.001), health-related anxiety (t = 6.266, p < 0.001), and disability (t = 4.282, p < 0.001), alongside poorer physical (t = −4.766, p < 0.001) and mental quality of life (t = −3.646, p < 0.001) compared to the LSS-type. Bayesian network analysis indicated that in the LSS-type, somatic symptoms and their psychological characteristics were the potential origin of depressive symptoms and anxiety, whereas in the GSS-type, depressive symptoms were the potential central driver influencing both anxiety and somatic symptoms.
Conclusion: SSD patients can be categorized into clinically distinct subtypes based on their somatic symptom distribution. The differing psychopathological mechanisms between the GSS and LSS subtypes suggest the need for tailored treatment strategies. These findings warrant further validation in larger, prospective studies.
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