Putting the Vicious Cycle to the Test : Evidence for the Cognitive Behavioral Model of Persistent Somatic Symptoms from an Online Study

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2024
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Witthöft, Michael
Bailer, Josef
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Psychosomatic Medicine. Wolters Kluwer Health. 2024, 86(6), S. 569-575. ISSN 0033-3174. eISSN 1534-7796. Verfügbar unter: doi: 10.1097/psy.0000000000001313
Zusammenfassung

Objective: In clinical practice, persistent somatic symptoms are regularly explained using a cognitive-behavioral model (CBM). In the CBM, predisposing, perpetuating, and precipitating factors are assumed to interact and to cause the onset and endurance of somatic symptoms. However, these models are rarely investigated in their entirety.

Methods: We conducted an online-survey during the Corona pandemic. 2,114 participants from the general German population completed questionnaires that measured different factors of the CBM. We used state negative affectivity and neuroticism as predisposing factors, fear of a COVID-19 infection as precipitating factor, and somatic symptoms, misinterpretation of bodily symptoms, attention allocation to bodily symptoms, and health anxiety as perpetuating factors. Moreover, we added safety and avoidance behavior as endpoints to the model. We conducted a psychological network analysis to exploratively study the relationships between the model’s different factors and tested the assumptions of the CBM by evaluating a structural equation model (SEM) that incorporated all factors of the model.

Results: Network analyses revealed clustering in our data: Health anxiety and different cognitive factors are closely related, while somatic symptoms and state negative affectivity are strongly associated. Our SEM showed adequate fit.

Conclusions: Our findings from an exploratory and a confirmatory approach give empirical support for the CBM, suggesting it as a suitable model to explain bodily symptoms in the general population and to possibly guide clinical practice. The network model additionally indicates the necessity to apply an individualized CBM for patients, depending on a preponderance of either persistent somatic symptoms or health concerns.

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150 Psychologie
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somatic symptom disorder, health anxiety, COVID-19, cognitive behavioral therapy, network analyses
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ISO 690SAHM, Alexander H. J., Michael WITTHÖFT, Josef BAILER, Daniela MIER, 2024. Putting the Vicious Cycle to the Test : Evidence for the Cognitive Behavioral Model of Persistent Somatic Symptoms from an Online Study. In: Psychosomatic Medicine. Wolters Kluwer Health. 2024, 86(6), S. 569-575. ISSN 0033-3174. eISSN 1534-7796. Verfügbar unter: doi: 10.1097/psy.0000000000001313
BibTex
@article{Sahm2024-04-26Putti-70952,
  year={2024},
  doi={10.1097/psy.0000000000001313},
  title={Putting the Vicious Cycle to the Test : Evidence for the Cognitive Behavioral Model of Persistent Somatic Symptoms from an Online Study},
  number={6},
  volume={86},
  issn={0033-3174},
  journal={Psychosomatic Medicine},
  pages={569--575},
  author={Sahm, Alexander H. J. and Witthöft, Michael and Bailer, Josef and Mier, Daniela}
}
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Methods: We conducted an online-survey during the Corona pandemic. 2,114 participants from the general German population completed questionnaires that measured different factors of the CBM. We used state negative affectivity and neuroticism as predisposing factors, fear of a COVID-19 infection as precipitating factor, and somatic symptoms, misinterpretation of bodily symptoms, attention allocation to bodily symptoms, and health anxiety as perpetuating factors. Moreover, we added safety and avoidance behavior as endpoints to the model. We conducted a psychological network analysis to exploratively study the relationships between the model’s different factors and tested the assumptions of the CBM by evaluating a structural equation model (SEM) that incorporated all factors of the model.

Results: Network analyses revealed clustering in our data: Health anxiety and different cognitive factors are closely related, while somatic symptoms and state negative affectivity are strongly associated. Our SEM showed adequate fit.

Conclusions: Our findings from an exploratory and a confirmatory approach give empirical support for the CBM, suggesting it as a suitable model to explain bodily symptoms in the general population and to possibly guide clinical practice. The network model additionally indicates the necessity to apply an individualized CBM for patients, depending on a preponderance of either persistent somatic symptoms or health concerns.</dcterms:abstract>
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