Journal of psychopathology and clinical science最新文献

{"title":"Reification of the p factor draws attention away from external causes of psychopathology.","authors":"Merlijn Olthof, Anna Lichtwarck-Aschoff, Eiko I Fried","doi":"10.1037/abn0000961","DOIUrl":"10.1037/abn0000961","url":null,"abstract":"<p><p>Summarizing specific psychopathology symptoms into higher order factors has a long tradition in mental health science. More recently, the general psychopathology factor (p factor) has gained much interest and currently reflects the highest level of the psychopathology hierarchy. The <i>p</i> factor is modeled from covariance of transdiagnostic psychopathology symptoms. Because such covariance is robust (persons who score higher on symptom X compared to others also tend to score higher on symptom Y), there have been many factor-analytic studies that claim the discovery of-and/or empirical support for-a general psychopathology factor. The reification of the <i>p</i> factor has put person-internal common causes of psychopathology high on the research agenda, while person-external common causes are overlooked. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"339-340"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142606781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotion reactivity research: Methodological differences make a difference.","authors":"David A Cole, George Abitante, Sophia B Mueller","doi":"10.1037/abn0000982","DOIUrl":"10.1037/abn0000982","url":null,"abstract":"<p><p>Operationalizations of emotion reactivity (ER) have changed rather dramatically over the past decade. Comparing the results across studies that use these diverse methods is difficult. The current article reviews and critiques these approaches to studying ER. Three desirable characteristics are identified: (a) using multiple diverse stimuli to assess emotions will enable researchers to characterize ER more completely, (b) incorporating measures of mood-triggering stimuli will enable researchers to avoid key confounds in ER-depression research, and (c) using multilevel statistical approaches will enable researchers to differentiate the within- versus between-person aspects of ER. Studies that use measures that lack one or more of these characteristics may generate incomplete if not systematically biased results. An idiothetic ER approach is described that incorporates these strengths and may help to resolve contradictions that pervade ER-depression research. Implications emerge for clinical research and practice. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"458-468"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143525448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"We need to personalize (mental) health, not only psychopathology.","authors":"Sigal Zilcha-Mano","doi":"10.1037/abn0000976","DOIUrl":"https://doi.org/10.1037/abn0000976","url":null,"abstract":"In their introduction to the special issue on addressing clinical heterogeneity in psychopathology through brain science, Damme and Mittal (see record 2025-40884-001) highlighted the transformative potential of using brain data to uncover variability in mental health diagnoses and their underlying mechanisms. The articles in this issue exemplify this, such as Reimann et al. (see record 2025-40884-008), who demonstrated how neurodevelopmental differences, like variations in structural properties, reveal subgroups with unique cognitive and clinical profiles among youths with similar psychopathology levels. This commentary builds on these important insights while proposing a critical broadening of focus. While much attention has been given to individual-specific psychopathology, the personalized \"end goal\" of treatment-defining individual-specific healthy states-has been largely neglected in the literature. Addressing both the starting and end points of interventions will deepen our understanding of psychopathology by integrating diverse definitions of health, ensuring treatment approaches are tailored to the uniqueness of each individual. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"74 5 Pt 1 1","pages":"343-344"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the overlap of personality traits and internalizing psychopathology using multi-informant data: Two sides of the same coin?","authors":"Helo Liis Soodla, Kelli Lehto, Kadri Kõiv, Uku Vainik, Kirsti Akkermann, René Mõttus","doi":"10.1037/abn0000967","DOIUrl":"10.1037/abn0000967","url":null,"abstract":"<p><p>Personality and psychopathology share a hierarchical dimensional structure, developmental trajectories and correlations with varied outcomes. However, quantifying the extent and details of their direct empirical overlap has been hindered by overreliance on self-reports and broad construct domains. Using multimethod data, we estimated the Big Five personality domains' and nuances' (items') \"true\" correlations (rtrue) with, and true predictive accuracy (rtruePRED) for, various psychopathology state domains, free of single-method and occasion-specific biases, random error, and direct content overlap. Our sample included Estonian Biobank participants (<i>N</i> = 16,226) who completed psychopathology and comprehensive personality questionnaires, and whose personality traits were also rated by close informants. Personality nuances out-predicted the Big Five domains for psychopathology, with items' <i>r</i>_truePRED = .31 … .58 for specific psychopathology domains of distress, fear, inattention, hyperactivity, insomnia, and fatigue, and <i>r</i>_truePRED = .52 for the general p factor. Individual items had various meaningful rtrues with the psychopathology domains. Among the Big Five, neuroticism was the strongest correlate of distress (<i>r</i>_true = .29) and fear (<i>r</i>_true = .13), while inattention was most correlated with conscientiousness (<i>r</i>_true = -.56), hyperactivity with extraversion (rtrue = .25), fatigue with openness (r_true = .12), and insomnia with conscientiousness (<i>r</i>_true = .12). Associations based on self-reports alone were weaker. We argue for multirater and finer grained assessments of both personality and psychopathology to fully reveal the extent and details of their overlap. This association is likely stronger than typical self-report data suggest, yet psychopathology is not empirically redundant with personality traits. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"400-413"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding types of transitions in clinical change: An introduction from the complex dynamic systems perspective.","authors":"Jingmeng Cui, Fred Hasselman, Merlijn Olthof, Anna Lichtwarck-Aschoff","doi":"10.1037/abn0000991","DOIUrl":"10.1037/abn0000991","url":null,"abstract":"<p><p>Sudden changes are common in clinical trajectories. While theoretical work in complex dynamic systems has provided mathematical theories for various types and mechanisms of change, a concrete application for the field of psychopathology is still lacking. We aim to bridge this gap by outlining an applied theoretical framework using theoretical concepts of the natural sciences for the field of clinical psychopathology, also devoting attention to issues and providing recommendations that are specific to the psychopathology domain. First, the mechanisms and features of four distinct types of transitions are introduced: bifurcation-induced tipping (B-tipping), noise-induced tipping (N-tipping), rate-induced tipping (R-tipping), and noise-induced diffusion (N-diffusion). Those types of transitions differ in the main cause of the change and data characteristics. To illustrate their application to clinical phenomena, we present two real-life scenarios using simulated time series. These examples demonstrate how theoretical types of change may connect to clinical phenomena and highlight how different types of transitions can co-occur in various subsystems. In the first example, we show that the mood system and the momentary affect system of a patient with sudden loss may show B-tipping and N-diffusion at the same time; in the second example, we show that increasing the stimulus strengthening speed in exposure therapy may lead to R-tipping, while the therapeutic decision in this context may be caused by N-tipping. Finally, we lay out possible pathways for determining the appropriate type of transition for future empirical research, highlighting methods both from dynamic system research and special opportunities for research in clinical psychology. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"469-482"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A matter of timing? Effects of parent-adolescent conflict on adolescent negative affect and depressive symptoms on six timescales.","authors":"Anne Bülow, Savannah Boele, Jessica P Lougheed, Jaap J A Denissen, Eeske van Roekel, Loes Keijsers","doi":"10.1037/abn0000987","DOIUrl":"10.1037/abn0000987","url":null,"abstract":"<p><p>Development is an iterative dynamic process that unfolds over time. Few theories, however, discuss the speed of developmental processes. Therefore, decisions about measurement timing often rely on arbitrary or practical choices, disregarding the timescale dependency of the results. As an exemplary case, this preregistered study assessed reciprocal associations between parent-adolescent conflict and ill-being (i.e., negative affect and depressive symptoms) with daily, weekly, biweekly, monthly, bimonthly, and three-monthly intervals. A 100-day diary study (<i>N</i> = 159, <i>M</i> = 13.31 years, 62% girls, 89% Dutch, data collection: 2020-2021) and a 26-wave biweekly study (<i>N</i> = 253, <i>M</i> = 14.37 years, 72% girls, 96% Dutch, data collection: 2019-2020) were used. By aggregating measurements, multiple timescales could be assessed within the same data set. Multilevel structural equation modeling revealed that conflict predicted depressive symptoms 1 month (β = .09) and 3 months later (β = .13). Reversely, negative affect predicted conflict 1 week later (β = .07) and depressive symptoms predicted conflict 2 weeks later (β = .08). Thus, transactional processes may function differently at different timescales, which has implications for expanding developmental theories about the timescales of relevant processes. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"414-426"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143733122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tailoring clinical goals to the individual is a good idea, and lessons from brain science can help.","authors":"Katherine S F Damme,Vijay A Mittal","doi":"10.1037/abn0000979","DOIUrl":"https://doi.org/10.1037/abn0000979","url":null,"abstract":"Zilcha-Mano (see record 2026-05243-001) provided several important insights relating to our recent special issue on utilizing data from brain science to better manage clinical heterogeneity (Damme & Mittal, 2024) and expanded on these ideas by emphasizing that individualized definitions of what \"healthy\" is an important consideration as well. We agree that tailoring treatment planning to an individual person is a very good idea, and, in a related point, we have recently argued that efforts to manage clinical heterogeneity are only as good as the quality of the outcome variables in consideration (see Kraus et al., 2024). In this commentary, we discuss potential barriers, caveats, and considerations and suggest theoretical intersections where lessons from brain research may help. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"23 1","pages":"345-347"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence, incidence, impairment, course, and diagnostic progression and transition of eating disorders, overweight, and obesity in a large prospective study of high-risk young women.","authors":"Eric Stice, Chris Desjardins, Heather Shaw, Sarah Siegel, Kristen Gee, Paul Rohde","doi":"10.1037/abn0000965","DOIUrl":"10.1037/abn0000965","url":null,"abstract":"<p><p>We examined prevalence, incidence, impairment, course, and diagnostic transitions for <i>Diagnostic and Statistical Manual of Mental Disorders,</i> fifth edition, eating disorders, overweight, and obesity in a high-risk sample of 1,952 young women (<i>M</i>_age = 19.7 years) who completed diagnostic interviews over a 3-year period. The baseline prevalence of any eating disorder was 13.3% and 25.4% showed onset (incidence) over 3-year follow-up. Baseline prevalence of overweight and obesity were 17.2% and 11.9%, respectively, with respective 3-year incidence rates of 18.3% and 6.8%. The average duration of eating disorders ranged from 2.2 to 5.0 months. Episode duration for overweight and obesity were 14.9 and 20.0 months, respectively. Most eating disorders (82%-96%) showed remission within 1 year; recurrence rates varied from 12% (atypical anorexia nervosa [AN]) to 44% (subthreshold bulimia nervosa). Three-year remission rates for overweight (53%) and obesity (34%) were lower, as was recurrence (15% and 9%, respectively). All eating disorders were characterized by a mixture of binge eating and compensatory weight control behaviors. Functional impairment was elevated for half the examined eating disorders and obesity. Diagnostic progression varied from 3% of those with atypical AN progressing to AN to 29% of those with subthreshold binge eating disorder progressing to binge eating disorder. Regarding diagnostic crossover, the most frequent pattern was shifting from a threshold to a subthreshold eating disorder, followed by shifting from a binge-related eating disorder to overweight. Results extend knowledge of the natural history of eating disorders and provide novel evidence of the relation between eating disorders and overweight/obesity. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"427-437"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999762/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142606780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identifying opioid relapse during COVID-19 using natural language processing of nationwide Veterans Health Administration electronic medical record data.","authors":"Nicholas A Livingston, Amar D Mandavia, Anne N Banducci, Rebecca Sistad Hall, Lauren B Loeffel, Michael Davenport, Brittany Mathes-Winnicki, Maria Ting, Clara E Roth, Alexis Sarpong, Noam Newberger, Zig Hinds, Jennifer R Fonda, Daniel Chen, Frank Meng","doi":"10.1037/abn0000984","DOIUrl":"10.1037/abn0000984","url":null,"abstract":"<p><p>Novel and automated means of opioid use and relapse risk detection are needed. Unstructured electronic medical record data, including written progress notes, can be mined for clinically relevant information, including the presence of substance use and relapse-critical markers of risk and recovery from opioid use disorder (OUD). In this study, we used natural language processing (NLP) to automate the extraction of opioid relapses, and the timing of these occurrences, from veteran patients' electronic medical record. We then demonstrated the utility of our NLP tool via analysis of pre-/post-COVID-19 opioid relapse trends among veterans with OUD. For this demonstration, we analyzed data from 107,606 veterans OUD enrolled in Veterans Health Administration, comparing a pandemic-exposed cohort (<i>n</i> = 53,803; January 2019-March 2021) to a matched prepandemic cohort (<i>n</i> = 53,803; October 2017-December 2019). The recall of our NLP tool was 75% and our precision was 94%, demonstrating moderate sensitivity and excellent specificity. Using the NLP tool, we found that the odds of opioid relapse postpandemic onset were proportionally higher compared to prepandemic trends, despite patients having fewer mental health encounters from which to derive instances of relapse postpandemic onset. In this research application of the tool, and as hypothesized, we found that opioid relapse risk was elevated postpandemic. The application of NLP methods to identify and monitor relapse risk holds promise for future surveillance, risk prevention, and clinical outcome research. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"448-457"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143671975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"For clinical translation, the Hierarchical Taxonomy of Psychopathology (HiTOP) must stand on its own two feet.","authors":"Jai Carmichael,Darren Haywood","doi":"10.1037/abn0001004","DOIUrl":"https://doi.org/10.1037/abn0001004","url":null,"abstract":"This article discusses the Hierarchical Taxonomy of Psychopathology (HiTOP). The Hierarchical Taxonomy of Psychopathology (HiTOP) is a large-scale effort involving over 170 researchers to refine the classification of psychopathology. Unlike the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD) diagnostic categories, HiTOP organizes psychopathological symptoms and traits into increasingly broad dimensions based on statistical covariance patterns identified across hundreds of studies, aiming to offer a more scientifically and empirically grounded alternative to conventional nosologies. Since its introduction in 2017, HiTOP has gained significant traction in research, with its foundational publication cited over 3,200 times so far. HiTOP is designed not only as a research tool, however, but also as a framework explicitly intended for clinical application. While HiTOP's translation into routine clinical practice is still at the relatively early stages, the HiTOP Consortium has made several commendable steps toward this goal with initiatives such as the development of the HiTOP Digital Assessment Tracker, HiTOP Patient Reported Outcome (HiTOP-PRO) measure, a clinical training workshop, ongoing clinical field trials, clinical primers, and resources to support billing when using HiTOP. Overall, the researchers are optimistic about HiTOP's potential to benefit psychological and psychiatric practice, but we believe its positioning as a clinical tool can be strengthened. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}