98%
921
2 minutes
20
The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirically and quantitatively derived dimensional classification system designed to describe the features of psychopathology and, ultimately, to replace categorical nosologies. Among the constructs that HiTOP organizes are "symptom components" and "maladaptive traits," but past HiTOP publications have not fully explicated the distinction between symptoms and traits. We propose working definitions of symptoms and traits and explore challenges, exceptions, and remaining questions. Specifically, we propose that the only systematic difference between symptoms and traits in HiTOP is one of time frame. Maladaptive traits are dispositional constructs that describe persistent tendencies to manifest features of psychopathology, whereas symptoms are features of psychopathology as they are manifest during any specific time period (from moments to days to months). This has the consequence that almost every HiTOP dimension, at any level of the hierarchy, can be assessed as either a trait or a symptom dimension, by adjusting the framing of the assessment. We discuss the implications of these definitions for causal models of the relations between symptoms and traits and for distinctions between psychopathology, normal personality variation, and dysfunction.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/jopy.12593 | DOI Listing |
BMC Pediatr
September 2025
School of Health and Welfare, Halmstad University, Halmstad, Sweden.
Background: Adequate sleep is crucial for children's health, especially for children with ADHD and concurrent sleep problems. There is a need for more studies focusing on sleep problems in children with ADHD as these problems may exacerbate ADHD symptoms and vice versa, impacting negatively on everyday life. The aim of this study was to investigate the differences in health-related factors between children with ADHD without clinically relevant sleep problems and those with clinically relevant sleep problems after a sleep intervention.
View Article and Find Full Text PDFNat Metab
September 2025
Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Young-onset monogenic disorders often show variable penetrance, yet the underlying causes remain poorly understood. Uncovering these influences could reveal new biological mechanisms and enhance risk prediction for monogenic diseases. Here we show that polygenic background substantially shapes the clinical presentation of maturity-onset diabetes of the young (MODY), a common monogenic form of diabetes that typically presents in adolescence or early adulthood.
View Article and Find Full Text PDFJ Affect Disord
September 2025
Department of Neurology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Guangxi University of Chinese Medicine, Nanning, 530023, PR China. Electronic address:
Objective: Major depressive disorder (MDD) is among the most prevalent and debilitating mental health conditions worldwide. This study aims to investigate the bidirectional causal relationship between immune cells and MDD using Mendelian randomization (MR) analysis and determine whether metabolites mediate this relationship.
Methods: We compiled and analyzed whole-genome data for 731 immune cell traits, 1091 blood metabolites, 309 metabolic ratios, and disease data from 170,756 individuals with MDD and 329,443 controls.
J Child Psychol Psychiatry
September 2025
Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Background: Prospective studies of autism family history infants primarily report recurrence and predictors of autism at 3 years. Less is known about ADHD family history infants and later childhood outcomes. We characterise profiles of mid-childhood developmental and behavioural outcomes in infants with a family history of autism and/or ADHD to identify potential support needs and patterns of co-occurrence across domains.
View Article and Find Full Text PDFBrain Behav
September 2025
Department of Thoracic Surgery II, Department of Lung Transplantation, Organ Transplantation Center, the First Hospital of Jilin University, Changchun, China.
Background: Ischemic stroke (IS) treatment remains a significant challenge. This study aimed to identify potential druggable genes for IS using a systematic druggable genome-wide Mendelian Randomization (MR) analysis.
Methods: Two-sample MR analysis was conducted to identify the causal association between potential druggable genes and IS.