Anxiety and depression add to the burden of chronic fatigue syndrome (CFS), fibromyalgia (FM), and type 1 diabetes mellitus (T1DM). Metacognitions play a role in this distress. The metacognitions about symptoms control scale (MaSCS) measure metacognitive beliefs regarding symptoms but have weaknesses. The current study created a revised MaSCS (MaSCS-R) in English, German, and Arabic versions using CFS, FM, and T1DM samples and examined the transcultural, transdiagnostic, and concurrent validity of metacognitions about symptom control. This study used data from 563 participants clinically diagnosed with CFS (n = 124; English), FM (n = 348; German), or T1DM (n = 91; Lebanese). CFS and FM data had been used in earlier published studies but were subjected to new analyses. CFS data were used to create the English version of the MaSCS-R and FM and T1DM data for German and Arabic versions. Metacognitions about worry, anxiety, depression, and symptom severity were measured. The three MaSCS-R versions, consisting of two factors (each with four items), had adequate psychometric properties, possessing configural and metric invariance. Metacognitive factors were associated with distress and symptom severity in all three samples. Metacognitions about symptom control have transcultural, transdiagnostic, and concurrent validity.
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Transl Psychiatry
October 2024
Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Childhood adversity is associated with various clinical dimensions in psychosis; however, how genetic vulnerability shapes the adversity-associated psychopathological signature is yet to be studied. We studied data of 583 First Episode Psychosis (FEP) cases from the EU-GEI FEP case-control study, including Polygenic risk scores for major depressive disorder (MDD-PRS), bipolar disorder (BD-PRS) and schizophrenia (SZ-PRS); childhood adversity measured with the total score of the Childhood Trauma Questionnaire (CTQ); and positive, negative, depressive and manic psychopathological domains from a factor model of transdiagnostic dimensions. Genes and environment interactions were explored as a departure from a multiplicative effect of PRSs and total CTQ on each dimension.
View Article and Find Full Text PDFFront Psychiatry
March 2023
H-Behaviors Research Lab (Previously Sleep/Wake-Behaviors Lab), BC Children's Hospital Research Institute, Vancouver, BC, Canada.
"Poor sleep health" (PSH), defined as reduced amount of sleep and non-restorative sleep, affects cognitive, social and emotional development. Evidence suggests an association of sleep deprivation and mental health problems; however, there are no universal concepts allowing a first-tier screening of PSH at a community level. The focus of this narrative review is to highlight the cultural context of the current medicalized approach to PSH and to suggest social ecological strategies informing new and holistic community-based screening concepts.
View Article and Find Full Text PDFSchizophr Bull
January 2023
Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), Psychiatry Section, University of Palermo, Palermo, Italy.
World Psychiatry
February 2022
1Department of Mental Health and Substance Use, World Health Organization, Geneva, Switzerland.
Transl Psychiatry
August 2021
Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, SE5 8AF, London, UK.
Diagnostic categories do not completely reflect the heterogeneous expression of psychosis. Using data from the EU-GEI study, we evaluated the impact of schizophrenia polygenic risk score (SZ-PRS) and patterns of cannabis use on the transdiagnostic expression of psychosis. We analysed first-episode psychosis patients (FEP) and controls, generating transdiagnostic dimensions of psychotic symptoms and experiences using item response bi-factor modelling.
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