Data-driven subtypes of internalizing and functional somatic symptoms: A hybrid mixture modeling approach - 07/09/26
, Rob Wanders b, Albertine J. Oldehinkel a, Judith G.M. Rosmalen a, c, Hanna M. van Loo aAbstract |
Background |
The mechanisms underlying the high comorbidity between internalizing disorders (IDs) and functional disorders (FDs) remain unclear. This study aimed to identify data-driven subgroups of major depressive disorder (MDD), generalized anxiety disorder (GAD), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), fibromyalgia (FM), and irritable bowel syndrome (IBS) symptoms in the general population, capturing shared symptom patterns while accounting for variation in symptom severity.
Method |
We analyzed cross-sectional data from 72,919 adults in the Dutch Lifelines Cohort Study, randomly divided into training and validation subsets. Twenty-seven ID and FD criteria symptoms were examined using mixed-measurement item response theory models in the training set, with the optimal model validated in the validation set. Class characteristics were assessed through associations with risk factors, ID/FD diagnosis and comorbidity patterns.
Results |
Six classes best described the data: Healthy (57.5%), Pain (13.8%), Tension/Pain (9.1%), Anxiety (9.0%), Cognition/Fatigue (6.4%), and Depression (4.3%). All classes showed a combination of ID and FD symptoms, with the Cognition/Fatigue and Depression classes being most mixed, and the Pain and Anxiety classes most domain-specific. Transdiagnostic symptoms were highly endorsed across all classes. ID–FD comorbidity was highest in the Cognition/Fatigue and Depression classes, with the Depression class showing the greatest functional impairment.
Conclusions |
The identified classes comprised mixed symptoms from multiple disorders, rather than disorder-specific profiles. ID-FD comorbidity may partly result from non-specific defining symptoms lowering the threshold for fulfilling criteria for multiple disorders. Symptom-level evaluation can help identify more homogenous and clinically relevant subgroups. Longitudinal research is needed to clarify underlying mechanisms.
Le texte complet de cet article est disponible en PDF.Highlights |
• | Internalizing and functional disorders are highly comorbid. |
• | We identified six data-driven subgroups: Healthy, Pain, Tension/Pain, Anxiety, Cognition/Fatigue, Depression. |
• | Fatigue, sleep problems, and concentration difficulty were endorsed across all subgroups. |
• | Comorbidity may partly arise from transdiagnostic symptoms lowering the diagnostic threshold of multiple disorders. |
Keywords : Depression, Anxiety, Chronic fatigue syndrome, Fibromyalgia, Irritable bowel syndrome, Mixture item response theory, Functional somatic disorders
Plan
Vol 102
P. 170-178 - septembre 2026 Retour au numéroBienvenue sur EM-consulte, la référence des professionnels de santé.
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