Journal of psychopathology and clinical science最新文献

{"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}

{"title":"Moving toward transdiagnostic dimensional models of neurodiversity and mental health (and away from models of psychopathology).","authors":"Isabelle Morris,Giorgia Michelini,Sylia Wilson","doi":"10.1037/abn0001007","DOIUrl":"https://doi.org/10.1037/abn0001007","url":null,"abstract":"This article discusses the transdiagnostic dimensional models of neurodiversity and mental health. Moving toward transdiagnostic dimensional models of neurodiversity and mental health-rather than dimensional models of psychopathology-embraces neurodiversity as human diversity and destigmatizes neurodivergence. Individuals with neurodevelopmental conditions do not need to be \"cured\" of neurodivergence as pathology, but the inclusion of neurodevelopmental conditions in transdiagnostic dimensional models does recognize the high co-occurrence of different neurodevelopmental conditions with each other and with mental health concerns and increases access to appropriate and needed supports to improve well-being across the lifespan. Increasing recognition that neurodiversity is part of human diversity prompts reconsideration of the current dominant conceptualization of neurodivergence as inherently atypical or pathological. \"Neurodiversity\" refers to the tremendous range of possible variations in brain function, neurocognition, and behavior-no two brains or minds function in exactly the same way. \"Neurodivergent,\" often contrasted with \"neurotypical,\" refers to a brain or mind that functions in a way that deviates from culturally normative expectations. Neurodivergence may manifest in different ways and to varying degrees-and be more or less adaptive at different times, in different contexts, or from different perspectives. \"Neurodevelopmental conditions\" are characterized by neurodivergence, including early-arising differences that affect cognition, motor function, sensation, perception, and/or communication and are currently included in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition in the \"Neurodevelopmental Disorders\" chapter. The authors propose a distinction between neurodevelopmental conditions and mental health conditions such that DSM neurodevelopmental disorders should no longer be subsumed under the mental disorder classification but instead reclassified alongside them, resulting in the Diagnostic and Statistical Manual of Neurodevelopmental and Mental Disorders. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143897379","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 regulation, depressive symptoms, and sleep problems in adolescents: A four-wave random-intercept cross-lagged panel model.","authors":"Sihan Liu,Jiefeng Ying,Anan Feng,Qian Shi,Jutta Joormann","doi":"10.1037/abn0001006","DOIUrl":"https://doi.org/10.1037/abn0001006","url":null,"abstract":"Depressive symptoms and sleep problems are detrimental for adolescents, with emotion regulation related to both problems. The present study explores emotion regulation as a potential mediator of the reciprocal associations between depressive symptoms and sleep problems and examines gender differences. A total of 1,535 adolescents (47.4% girls; baseline Mage = 13.19 years) were included in this four-wave longitudinal study with 6-month intervals. We used random-intercept cross-lagged panel models to examine our research questions. The results indicated that increases in sleep problems significantly predicted more depressive symptoms 6 months later but not vice versa. Emotion regulation mediated the reciprocal associations between depressive symptoms and sleep problems. Multigroup analyses on the associations among depressive symptoms, sleep problems, and emotion regulation showed that sleep problems predicted depressive symptoms, but not vice versa, in both girls and boys. However, emotion regulation was a mediator only in girls but not boys. These findings support the critical role of sleep problems in the development of depressive symptoms, underscoring the necessity for early and targeted sleep interventions. Emotion regulation was shown to mediate the reciprocal associations between depressive symptoms and sleep problems in girls only highlighting the need for more focus on gender differences and a need for gender-sensitive intervention strategies. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836602","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":"Updating patient perceptions with intensive longitudinal data for enhanced case conceptualizations: An approach with Bayesian informative priors.","authors":"Saskia Scholten,Lars Klintwall,Julia Anna Glombiewski,Julian Burger","doi":"10.1037/abn0000993","DOIUrl":"https://doi.org/10.1037/abn0000993","url":null,"abstract":"Addressing the persistent heterogeneity in psychopathology, treatment outcomes, and the science-practice gap requires a systematic approach to personalizing psychotherapy. Case conceptualization seeks to understand a patient's unique psychopathology by generating and continuously updating hypotheses about predisposing, precipitating, and maintaining factors. This study introduces a new data-driven method to formalize this process with personalized network estimation, combining prior elicitation and Bayesian inference. It is the first to test its clinical usefulness with 12 patients, primarily treated for depression, and their therapists (preregistered and can be found as the additional online materials: https://osf.io/38qdx). Patients employed the Perceived Causal Networks method to create personalized \"prior networks,\" mapping how they perceived their symptoms to interact. Bayesian inference was used to update these prior networks using longitudinal data collected subsequently 6 times daily over 15 days (N = 935), resulting in personalized \"posterior networks.\" Both Perceived Causal Networks and longitudinal assessments were evaluated as feasible and acceptable. Face validity was scored highest for the posterior networks. Patients emphasized the personal relevance of these networks, while therapists noted their value in guiding the therapeutic process. However, prior, posterior, and data networks showed significant dissimilarities. These differences may stem from patients' limited insight into symptom interactions, insufficient power in the longitudinal data, or variations in self-perception. Despite some inconsistencies, the study shows potential for combining two methods to create personalized models of psychopathology, highlighting the need for future research to refine this formalization process into a more rigorous theoretical-empirical cycle to test these models. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836586","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":"Disentangling the effects of daily physical activity and natural white light exposure on affect.","authors":"Stewart A Shankman,James E Glazer,Brent I Rappaport,Lilian Y Li,Florian Wüthrich,Lauren N Grzelak,Sebastian Walther,Vijay A Mittal","doi":"10.1037/abn0000995","DOIUrl":"https://doi.org/10.1037/abn0000995","url":null,"abstract":"Physical activity has a well-known positive effect on mood and often occurs outside in natural light. The specific effects of natural light exposure on mood are understudied, but clinically significant as it may reflect a widely accessible method to enhance mood. This study thus aimed to disentangle the effects of (a) physical activity and (b) natural light exposure on daily mood. For 2 weeks, 131 participants wore actigraphs that assessed their physical activity and light exposure. Participants also rated their positive and negative affect 3 times/day. Multilevel models separated within-person (relative to self) and between-person (relative to others) effects. Results suggest that within person increases in daily natural light exposure (B = 0.03, p < .05) and physical activity (B = 0.08, p < .05) were independently associated with increased positive affect, but not negative affect. Results remained significant controlling for between-person effects and other covariates, including overall depression severity. Findings offer preliminary evidence that natural light exposure may be one pathway to increase positive affect in everyday life. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143836587","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}