Limitations of a polythetic-categorical classification system has sparked ongoing quantitative efforts to establish a valid and reliable method for diagnosing mental illness. Dimensional methods of classification, such as the Hierarchical Taxonomy of Psychopathology (HiTOP), have been found to ameliorate the limitations of a categorical approach - despite the provisional placement of a Somatoform spectrum. The current investigation sought to elucidate the placement of the Somatoform spectrum within the HiTOP model, and to further corroborate discriminant and convergent validity of the Somatoform spectrum. Using a sample of patients seeking chronic low-back pain treatment (n = 200), superior model fit suggested Somatoform fits better as a separate spectrum from Internalizing and placing Somatoform as a subfactor of Internalizing did not improve model fit. Discriminant and convergent validity with an external criteria demonstrated distinctiveness of the Somatoform spectrum from the Internalizing spectrum in the HiTOP model.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.psychres.2022.114593 | DOI Listing |
Pediatr Rep
December 2024
Psychology Department, School of Health and Biomedicine, Bundoora Campus, RMIT University, Melbourne, VIC 3000, Australia.
Unlabelled: The present study examines the potential of the Symptom Checklist-90-Revised (SCL-90-R) as a measure for the Hierarchical Taxonomy of Psychopathology (HiTop) model. Two structural models were evaluated. In Model 1, the SCL-90-R dimensions were allocated to somatoform (comprising somatization), internalizing (comprising obsessive-compulsive, interpersonal sensitivity, depression, anxiety, and phobic anxiety), and antagonistic disinhibited (comprising hostility) spectra.
View Article and Find Full Text PDFNervenarzt
September 2024
Institut für Sozialmedizin, Arbeitsmedizin und Public Health, Medizinische Fakultät, Universität Leipzig, Leipzig, Deutschland.
Background: Although people receiving means-tested benefits are regularly taken care of at the job center, little is known about their mental health situation and mental health care.
Objective: The aim of the study was to describe the diagnostic spectrum and the functional status as well as the mental health care utilization of individuals with mental illnesses who are receiving means-tested benefits.
Methods: Mentally ill people with means-tested benefits were recruited at the job center as part of the "Leipzig Individual Placement and Support for Mentally Ill People" (LIPSY) project, where they were initially diagnosed according to ICD-10 and included in the project if they had a mental disorder.
J Gastroenterol Hepatol
November 2024
St Vincent's Hospital and University of Melbourne, Melbourne, Victoria, Australia.
As clinicians involved in the care of patients with disorders of gut-brain interaction (DGBIs), we-and many colleagues-have the impression that social media are adversely shaping the nature, presentation, and ability to manage these disorders, especially at the severe end of the DGBI clinical spectrum. We turned to the research literature to see if these clinical impressions were corroborated but found it virtually nonexistent. Social media have rapidly become a ubiquitous, pervasive part of the lives of most people on the planet.
View Article and Find Full Text PDFBMJ Ment Health
July 2024
Department of Neuropsychiatry, Toho University Faculty of Medicine, Ota-ku, Tokyo, Japan
Background: The fast-growing migrant population in Japan and globally poses challenges in mental healthcare, yet research addressing migrants' mental health treatment engagement remains limited.
Objective: This study examined language proficiency, demographic and clinical characteristics as predictors of early treatment discontinuation among migrants.
Methods: Electronic health record data from 196 adult migrants, identified from 14 511 patients who received mental health outpatient treatment during 2016 and 2019 at three central hospitals in the Tokyo-Yokohama metropolitan region of Japan, were used.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!