{"title":"Supplemental Material for The Structure of Psychopathology Among Young Adults in Kenya, Namibia, and South Africa","authors":"","doi":"10.1037/abn0001045.supp","DOIUrl":"https://doi.org/10.1037/abn0001045.supp","url":null,"abstract":"","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254878","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":"Aberrant time experience in schizotypy: A dimensional perspective.","authors":"Grace E Konstantin, Mark F Lenzenweger","doi":"10.1037/abn0001066","DOIUrl":"https://doi.org/10.1037/abn0001066","url":null,"abstract":"<p><p>Atypical experiences of time in schizophrenia have long been clinically and empirically documented. The nature of and ways in which time experience anomalies emerge in nonpsychotic schizotypic individuals, however, are largely unknown. The current study investigates associations between well-established schizotypy indicators and a self-report measure of time experience, the Subjective Time Questionnaire, with a specific focus on the perceived speed of passing time. We also examine the differential relations between the subscales of the Subjective Time Questionnaire and schizotypal symptom domains (positive, negative, and disorganized). The present study included participants from a nonclinical university sample (<i>N</i> = 682) who completed a battery of time perception and schizotypy measures. Data collection occurred between September 22, 2023, and December 4, 2023. The results revealed associations between indicators of schizotypy, or schizophrenia liability, and aberrant time perception experiences, with particular correlational patterns depending on dimensions of schizotypic symptomology. Specifically, positive and disorganized schizotypal dimensions were more often associated with extreme reports of time experienced as sped up and slowed down, while negative symptomatology was associated with perception of time as expansive and slowed. The findings of the current study extend and bolster the literature on time perception abnormalities in the schizophrenia spectrum of psychopathology and highlight the importance of research within the subclinical schizotypic realm. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145193985","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}
Joshua R Oltmanns, Ritik Khandelwal, Jerry Ma, Jocelyn Brickman, Tu Do, Rasiq Hussain, Mehak Gupta
{"title":"Language-based AI modeling of personality traits and pathology from life narrative interviews.","authors":"Joshua R Oltmanns, Ritik Khandelwal, Jerry Ma, Jocelyn Brickman, Tu Do, Rasiq Hussain, Mehak Gupta","doi":"10.1037/abn0001047","DOIUrl":"https://doi.org/10.1037/abn0001047","url":null,"abstract":"<p><p>Advances in artificial intelligence (AI) hold promise for clarifying personality disorder (PD) models, research methodology, understanding, and clinical treatment. This study models personality and personality pathology using natural language. A representative community sample of <i>N</i> = 1,409 older adults from St. Louis (33% Black, 65% White, and 2% other) completed life narrative interviews lasting on average 20 min. Language from the interviews was then used to train and test language-based personality models on scores from the NEO-Personality Inventory-Revised and the Structured Interview for <i>DSM-IV</i> Personality. Criteria measures were used for multimethod construct validation of the language models including self-report measures of physical functioning and depressive symptoms and informant-report measures of personality, general health status, and social functioning. Language models were developed using fine-tuning of the parameters of the RoBERTa language model, BERTopic topic modeling, and Linguistic Inquiry and Word Count. Fine-tuned RoBERTa models predicted personality scores in testing data above <i>r</i> = .40, approaching what is considered a large effect size for convergent validity tests between two self-reports of the same construct. Life narrative language was more readily mapped onto the five-factor model trait domains than onto <i>DSM</i> PD categories, aside from moderate support for borderline pathology. The language-based five-factor model scores were supported by multimethod criteria correlations including informant-report personality scores in the testing data. Findings demonstrate the potential promise of language-based AI to refine conceptual frameworks of PD and provide automatic personality assessment and prediction in research and clinical practice. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194139","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 dimensional latent variable model approach to connecting psychopathology and neurocognition hierarchies.","authors":"Orly Lipsitz, Michael Carnovale, Anthony C Ruocco","doi":"10.1037/abn0001041","DOIUrl":"https://doi.org/10.1037/abn0001041","url":null,"abstract":"<p><p>Specific and unique associations between neurocognition and psychopathology dimensions have not been clearly delineated despite the presence of neurocognitive concerns across nearly all psychiatric disorders. This study seeks to identify relationships between broader and narrower latent factors within psychopathology and neurocognition hierarchies. One thousand adults between the ages of 18 and 65 (<i>n</i> = 715 female) with current mental health concerns participated in this online research study and completed questionnaires of dimensional psychopathology and comprehensive neuropsychological testing using measures with previously established latent hierarchical structures. A series of confirmatory and exploratory higher-order, bifactor, and correlated factors models were tested. Hierarchical regressions and structural models were used to test associations between psychopathology and neurocognition dimensions. An exploratory six-factor bifactor model (general psychopathology, harmful substance use, anxiety, detachment, depression, posttraumatic stress) and a confirmatory five-factor model of psychopathology (general psychopathology, internalizing, externalizing, thought, detachment plus method factor) emerged. An exploratory three-factor bifactor model of neurocognition (general neurocognition, executive function, and social cognition) was retained. Hierarchical regressions revealed a significant negative association of general psychopathology with general neurocognition. Detachment was associated with a further decrement in general neurocognition and social cognition. A positive association was found between anxiety and social cognition. Within a structural model between the five-factor bifactor model of psychopathology and three-factor bifactor model of neurocognition, only the association between detachment and general neurocognition remained significant. Higher levels of detachment are most consistently associated with decrements in general neurocognition across different models. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145194063","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":"Supplemental Material for Language-Based AI Modeling of Personality Traits and Pathology From Life Narrative Interviews","authors":"","doi":"10.1037/abn0001047.supp","DOIUrl":"https://doi.org/10.1037/abn0001047.supp","url":null,"abstract":"","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145134637","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":"Supplemental Material for Aberrant Time Experience in Schizotypy: A Dimensional Perspective","authors":"","doi":"10.1037/abn0001066.supp","DOIUrl":"https://doi.org/10.1037/abn0001066.supp","url":null,"abstract":"","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"87 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145134644","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":"Correction to \"Understanding types of transitions in clinical change: An introduction from the complex dynamic systems perspective\" by Cui et al. (2025).","authors":"","doi":"10.1037/abn0001061","DOIUrl":"10.1037/abn0001061","url":null,"abstract":"<p><p>Reports an error in \"Understanding types of transitions in clinical change: An introduction from the complex dynamic systems perspective\" by Jingmeng Cui, Fred Hasselman, Merlijn Olthof and Anna Lichtwarck-Aschoff (<i>Journal of Psychopathology and Clinical Science</i>, 2025[May], Vol 134[4], 469-482; see record 2025-93753-001). In the article, in Figure 8 the final steps in the decision tree were inadvertently reversed: A \"Yes\" response should lead to B-tipping, and a \"No\" response should lead to R-tipping. The corrected figure is present in the erratum. (The following abstract of the original article appeared in record 2025-93753-001). 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":""},"PeriodicalIF":3.1,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145081849","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}
Tess F Filip,Sarah Akhras,Gerhard S Hellemann,Ti Hsu,Amanda McCleery
{"title":"Geolocation-derived mobility indices and the association with clinical symptoms and functioning in severe mental illness: A multivariate meta-analysis.","authors":"Tess F Filip,Sarah Akhras,Gerhard S Hellemann,Ti Hsu,Amanda McCleery","doi":"10.1037/abn0001037","DOIUrl":"https://doi.org/10.1037/abn0001037","url":null,"abstract":"Geolocation-derived mobility indices from smartphone sensors may be a digital phenotype of negative symptoms in severe mental illness (SMI; schizophrenia and bipolar disorder). In this preliminary analysis, we compared SMI and healthy comparators (HC) on five geolocation indices (time at home, distances traveled, distances traveled from home, normalized entropy, and number of locations visited) and tested associations with clinical and functional outcomes. A systematic search identified eight eligible samples (k; n = 153 effects, nSMI = 291, nHC = 162 across all analyses). Effect sizes included Hedge's g for group differences and Pearson's r for correlations with symptoms and functioning. Multivariate mixed-effects models derived overall effect sizes. Compared to HC, significant reductions were observed in SMI for overall mobility (g = -0.45, k = 6), time at home (g = -0.62, k = 4), distances from home (g = -0.61, k = 2), and locations visited (g = -0.47, k = 5). Within SMI, overall mobility (r = -.19, k = 5), time at home (r = -.24, k = 3), and normalized entropy (r = -.29, k = 1) were associated with broadly defined negative symptom burden. Associations with functional outcomes were not significant (rs ≤ |.20|, ks ≤ 3). Mobility within activity space was moderately diminished in SMI. Indices reflecting restricted activity space and location variability were modestly associated with negative symptoms in SMI. Geolocation indices alone provide weak symptom monitoring information, although the paucity of studies limits the robustness and generalizability of these preliminary findings. Recommendations are discussed. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145058956","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 transdiagnostic model of fears of recurrence and progression in people with mental health conditions.","authors":"Daelin Coutts-Bain,Louise Sharpe,Caroline Hunt","doi":"10.1037/abn0001040","DOIUrl":"https://doi.org/10.1037/abn0001040","url":null,"abstract":"Fear of recurrence and progression (FORP) is a potentially adaptive response to living with a mental health condition. Nevertheless, it can be distressing and may increase vulnerability to mental health deterioration. Research on FORP has focused mainly on schizophrenia-spectrum conditions, leaving other conditions underexplored. This mixed-method study aimed to develop a transdiagnostic model of FORP from a grounded theory framework analysis of qualitative interviews and to test some model predictions using cross-sectional survey data. Between January and December 2023, adults with a mental health condition, in Australia were recruited from the University of Sydney Psychology Clinic or the community via social media. Analysis of 18 semistructured interviews found six themes and 10 subthemes expressed by people with a range of conditions: \"In retrospect\" participants described traumatic memories and an inability to trust themselves, which gave rise to FORP (fear of being harmed, fear of harming others, and fear of isolation). In response, participants adopted a better safe than sorry approach (vigilance-hypervigilance, reassurance seeking, and a low-risk, low-reward lifestyle). To cope with FORP, participants used avoidance, including suppression and distraction, and identified metacognitions that perpetuated fear. People who voiced prognostic pessimism also held more biological causal accounts of their conditions. Pervasive shame colored much of the participants' experience. Survey data from 269 participants (including 10 interviewees) confirmed that biological beliefs and intrusive thoughts of being unwell were uniquely associated with FORP, after controlling for psychopathology. Overall, qualitative and quantitative findings supported the notion that FORP is a clinically relevant transdiagnostic construct. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145032163","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":"Supplemental Material for Geolocation-Derived Mobility Indices and the Association With Clinical Symptoms and Functioning in Severe Mental Illness: A Multivariate Meta-Analysis","authors":"","doi":"10.1037/abn0001037.supp","DOIUrl":"https://doi.org/10.1037/abn0001037.supp","url":null,"abstract":"","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145056745","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}