A longitudinal bifactor approach to modelling somatic symptom development in psychosomatic treatment

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Authors: Tara Marlena Petzke, Ferenc Gàbor Köteles, Henrik Kessler, Stephan Doering, Aram Kehyayan, Magdalena Pape, Tobias Hofmann, Matthias Rose, Katrin Imbierowicz, Franziska Geiser, Ilona Croy, Kerstin Weidner
+34 more Jörg Rademacher, Silke Michalek, Eva Morawa, Yeşim Erim, Julia Barbara Krakowczyk, Martin Teufel, Stanislav Heinzmann, Claas Lahmann, Eva Milena Johanne Peters, Johannes Kruse, Dirk von Boetticher, Christoph Herrmann‐Lingen, Mariel Nöhre, Martina de Zwaan, Ulrike Dinger, Hans‐Christoph Friederich, Alexander Niecke, Christian Albus, Rüdiger Zwerenz, Manfred Beutel, Casper Roenneberg, Heribert Christian Sattel, Peter Henningsen, Barbara Stein, Christiane Waller, Karsten Hake, Carsten Spitzer, Andreas Stengel, Stephan Zipfel, Katja Weimer, Harald Gündel, Stephan Herpertz, Michael Witthöft, Nadine Lehnen
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References: 44

Abstract

BACKGROUND: Persistent somatic symptoms display a large public health problem and are often treated or addressed alongside other conditions in psychosomatic medicine units. With growing evidence pointing to unfavorable central nervous processing in persistent symptom perception, we aimed at modelling somatic symptom clusters together with an overarching general factor (g-factor) longitudinally during psychosomatic treatment. METHODS: This study analyses data from the Multicenter Effectiveness Study of Inpatient Psychosomatic-Psychotherapeutic Treatment in German University Hospitals (MEPP, 19 academic psychosomatic medicine departments with inpatient and day clinics, N = 2094 patients with ICD diagnoses between F30 and F69). The PHQ-15 was used to construct bifactor models of symptom perception. We used structural equation models to investigate how the g-factor and symptom-group clusters developed from treatment intake over discharge to a one year follow-up. Factor scores were used to evaluate treatment effects on the individual components. RESULTS: =0.250). All components predicted themselves at future timepoints: autoregressions were high, significant, and explained large proportions of the variance (all β>0.69,p

Fields of Study & Subjects

Psychosomatic Disorders and Their Treatments Anxiety Depression Psychometrics Treatment Cognitive Processes Psychometric Methodologies and Testing

Publication details

Journal / source
Journal of Psychosomatic Research
Volume
204
Pages
112577–112577
Publication date
4 February 2026
Language
EN