| The Latent Structure of Medically Unexplained Symptoms and Its Relation to Functional Somatic Syndromes. | |
| | |
MedLine Citation:
|
PMID: 22618306 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
|
BACKGROUND: Medically unexplained symptoms are the hallmark of somatoform disorders and functional somatic syndromes. PURPOSE: Although medically unexplained symptoms represent a common phenomenon both in the general population as well as in medical settings, the exact latent structure of somatic symptoms remains largely unclear. METHOD: We examined the latent structure of medically unexplained symptoms by means of the Patient Health Questionnaire-15 (PHQ-15) questionnaire (i.e., a popular symptom checklist) and provide support for the construct validity of our model. The data were analyzed using confirmatory factor analysis in a general population sample (study 1; N = 414) and in a sample of primary care patients (study 2; N = 308). We compared four different latent structure models of medically unexplained symptoms: a general factor model, a correlated group factor model, a hierarchical model, and a bifactor model. RESULTS: In study 1, a bifactor model with one general factor and four independent specific symptom factors (i.e., gastrointestinal, pain, fatigue, and cardiopulmonary symptoms) showed the best model fit. This bifactor model was confirmed in the primary care sample (study 2). Additionally, the model explained 59 % of the variance of the irritable bowel syndrome (IBS). In this structural equation model, both the general factor (14 %) as well as the gastrointestinal symptom factor (42 %) significantly predicted the IBS. CONCLUSION: The findings of both studies help to clarify the latent structure of somatic symptoms in the PHQ-15. The bifactor model outperformed alternative models and demonstrated external validity in predicting IBS. |
| | |
Authors:
|
Michael Witthöft; Wolfgang Hiller; Noelle Loch; Fabian Jasper |
Related Documents
:
|
22444406 - Using mechanistic animal growth models to estimate genetic parameters of biological tra... 22848706 - To eat and not be eaten: modelling resources and safety in multi-species animal groups. 22164026 - Unscented kalman filtering for single camera based motion and shape estimation. 21819826 - Predicting accident frequency at their severity levels and its application in site rank... 1581486 - A modelling strategy for recovery data from birds ringed as nestlings. 11830366 - An interactive framework for an analysis of ecg signals. |
Publication Detail:
|
Type: JOURNAL ARTICLE Date: 2012-5-23 |
Journal Detail:
|
Title: International journal of behavioral medicine Volume: - ISSN: 1532-7558 ISO Abbreviation: - Publication Date: 2012 May |
Date Detail:
|
Created Date: 2012-5-23 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 9421097 Medline TA: Int J Behav Med Country: - |
Other Details:
|
Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
|
Division of Clinical Psychology and Psychotherapy, Johannes Gutenberg University of Mainz, Wallstrasse 3, 55122, Mainz, Germany, witthoef@uni-mainz.de. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Effects of high-intensity and blood flow-restricted low-intensity resistance training on carotid art...
Next Document: Association of Multimodal Treatment-Induced Improvements in Stress, Exercise Volume, Nutrition, and ...