Journal of psychopathology and clinical science最新文献

{"title":"Prevalence of disordered eating behaviors varies at the intersection of gender identity and sexual orientation among sexual and gender minority youth.","authors":"Brooke L Bennett, Lauren N Forrest, Rebecca M Puhl, Ryan J Watson","doi":"10.1037/abn0001016","DOIUrl":"https://doi.org/10.1037/abn0001016","url":null,"abstract":"<p><p>Engaging in disordered eating behaviors (DEBs) to attempt to control weight is a well-documented precursor to the development of an eating disorder. Both gender identity and sexual orientation have been identified as relevant social positions in the development of DEBs. Most existing studies have been unable to examine the intersection of these identities due to limitations in sample size. The present study assessed DEB disparities at the intersection of gender identity and sexual orientation among a large sample of sexual and gender minority adolescents. The sample included <i>n</i> = 9,876 adolescents. Past-year prevalence of dietary restriction, self-induced vomiting, binge eating, and diet pill use was assessed. Data were analyzed with multilevel analysis of individual heterogeneity and discriminatory accuracy, which assumes individuals within a given subgroup are exposed to similar structural processes like heterosexism that lead to disparities. Pansexual transgender boys were among the three highest prevalence groups for multiple DEBs: Restricting prevalence was 67.1%, vomiting prevalence was 29.1%, and binge eating prevalence was 45.5%. For all outcomes, at least one subgroup had unexpectedly high prevalence; for all outcomes except use of diet pills, at least one subgroup had unexpectedly low prevalence, indicative of interactive intersectional effects. Overall, results demonstrate that DEBs do not universally vary across either gender identity or sexual orientation. Instead, patterns are more complex as marginalized and privileged identities are not associated with only risk or only resiliency. More research is needed on the factors that drive the development of DEBs. (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":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144164264","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":"Uncovering urgency in daily life: Testing a novel method for assessing emotion-impulsivity co-occurrence in momentary data.","authors":"Janan Mostajabi,Sarah H Sperry,Kevin M King,Aidan G C Wright","doi":"10.1037/abn0001011","DOIUrl":"https://doi.org/10.1037/abn0001011","url":null,"abstract":"Impulsivity is a personality trait with broad health implications. Urgency is a facet of impulsivity defined as the tendency to engage in rash action when experiencing strong emotions. Thus, as defined, urgency is a dynamic, if … then process. However, urgency has mostly been studied using cross-sectional dispositional scales and laboratory-based tasks. Recent work modeling urgency dynamically as the covariance of momentary emotion and impulsivity has found no associations with trait scores of urgency and impulsivity. We propose that the co-occurrence only of intense instances of emotion and impulsivity may better match urgency's conceptualization. In exploratory analyses of ambulatory assessment data (N = 342), we found a significant correlation between dispositional impulsivity and intense emotion-impulsivity co-occurrences, but not with their momentary covariance. We replicated these results in five preregistered ambulatory assessment studies (total N = 844). These findings have implications for the measurement of momentary urgency, and for the articulation of other intense and dynamic events in the moment. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914899","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":"The rise of normality in the Diagnostic and Statistical Manual of Mental Disorders: Causes and implications for diagnosis, practice, and validity.","authors":"Afonso Fernandes,Matilde Gomes,Pedro Morgado","doi":"10.1037/abn0000983","DOIUrl":"https://doi.org/10.1037/abn0000983","url":null,"abstract":"The use of \"normal\" and related terms has increased across successive editions of the Diagnostic and Statistical Manual of Mental Disorders (DSM), from DSM-I to DSM-5. Despite its widespread use, \"normal\" remains an ambiguous and context-dependent term, reflecting statistical frequency and sociocultural expectations. \"Normal\" is also commonly understood as indicative of health. This Viewpoint examines the increasing use of normality-related concepts in recent editions of the DSM and emphasizes how the term \"normal\" has been used to distinguish between health and illness-often without a clear definition. Dimensional approaches to mental disorders-because they often rely on normative data and expectations to define the boundaries of these dimensions-do not resolve this ambiguity; instead, they amplify the need to clarify the meaning of normality. Moreover, emerging technologies such as digital phenotyping and big data analysis may exacerbate these issues by equating statistical averages with indicators of mental health. We conclude that psychiatry must either critically reevaluate its reliance on the concept of normality within diagnostic systems or, alternatively, offer a clear and consistent definition of what \"normal\" means in relation to health and what it is intended to signify. (PsycInfo Database Record (c) 2025 APA, all rights reserved).","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143914903","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":"Toward quantitative cognitive-behavioral modeling of psychopathology: An active inference account of social anxiety disorder.","authors":"Yinghao Zhang, Friederike Elisabeth Hedley, Ru-Yuan Zhang, Jingwen Jin","doi":"10.1037/abn0000972","DOIUrl":"10.1037/abn0000972","url":null,"abstract":"<p><p>Understanding psychopathological mechanisms is a central goal in clinical science. While existing theories have demonstrated high research and clinical utility, they have provided limited quantitative explanations of mechanisms. Previous computational modeling studies have primarily focused on isolated factors, posing challenges for advancing clinical theories holistically. To address this gap and leverage the strengths of clinical theories and computational modeling in a synergetic manner, it is crucial to develop quantitative models that integrate major factors proposed by comprehensive theoretical models. In this study, using social anxiety disorder (SAD) as an example, we present a novel approach to formalize conceptual models by combining cognitive-behavioral theory (CBT) with active inference modeling, an innovative computational approach that elucidates human cognition and action. This CBT-informed active inference model integrates multiple mechanistic factors of SAD in a quantitative manner. Through a series of simulations, we systematically examined the effects of these factors on the belief about social threat and tendency of engaging in safety behaviors. The resultant model inherits the conceptual comprehensiveness of CBT and the quantitative rigor of active inference modeling, delineating previously elusive pathogenetic pathways and enabling the formulation of concrete model predictions for future research. Overall, this research presents a novel quantitative model of SAD that unifies major mechanistic factors proposed by CBT and active inference modeling. It highlights the feasibility and potential of integrating clinical theory and computational modeling to advance our understanding of psychopathology. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"363-388"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143568896","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":"What the general factor of psychological problems is-And is not.","authors":"Tyler M Moore, Brooks Applegate, Benjamin B Lahey","doi":"10.1037/abn0000978","DOIUrl":"10.1037/abn0000978","url":null,"abstract":"<p><p>Hundreds of published studies have advanced understanding of the hypothesized general factor of psychological problems, but confusion still surrounds the hypothesis. This partly results from critics conflating our hypotheses with those of other authors, but we have created confusion ourselves by stating two different general factor hypotheses, which we differentiate here. In the psychometric general factor hypothesis, the general factor is the term in bifactor models that quantifies the variance shared by all measured psychological problems, whereas two or more specific factors are defined by orthogonal pools of variance shared only by items loading on each specific factor. Although the psychometric bifactor model is sometimes viewed as an alternative to taxonomic models based on correlated factor models, it is not. Correlated factors models properly describe the overlapping dimensions of psychological problems experienced in everyday life. The separate hierarchical causal hypothesis is that correlations among the problems that define the general factor result from some of their causes and mechanisms being directly or indirectly shared, whereas the specific factors are the result of other orthogonal causes being shared by subsets of problems. There is growing evidence that some genetic and environmental causes-and their attendant psychobiological mechanisms-are shared to varying degrees with essentially all psychological problems. Other independent causes and mechanisms influence only subgroups of psychological problems (e.g., internalizing problems). (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"341-342"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366957","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":"Trajectories of mothers' perinatal depressive symptoms during COVID-19 pandemic lockdowns: The protective role of romantic relationship quality.","authors":"Gabriel A León, Yael H Waizman, Sofia I Cardenas, Elizabeth C Aviv, Phil Newsome, Anthony G Vaccaro, Alyssa R Morris, Darby E Saxbe","doi":"10.1037/abn0000994","DOIUrl":"10.1037/abn0000994","url":null,"abstract":"<p><p>This study tracked depressive symptoms across the first year of parenthood in two cohorts of mothers recruited during pregnancy: one (<i>n</i> = 99) recruited before spring 2020, and one (<i>n</i> = 615) recruited during the first wave of pandemic lockdowns in spring 2020. We fit a series of multigroup covariance pattern models to our data. Within the pandemic cohort, symptoms were highest during pregnancy and decreased curvilinearly from pregnancy to 6 months postpartum, before leveling off by 12 months postpartum. Nonetheless, depressive symptoms were significantly higher in the pandemic cohort at all time points from pregnancy to 12 months compared to the prepandemic cohort. This effect was weaker among mothers who endorsed greater romantic relationship quality during pregnancy. Namely, pandemic-exposed mothers reporting high relationship quality showed trajectories of depressive symptoms that resembled the prepandemic sample. This evidence of sustained depression risk in pandemic-exposed mothers is of high public health concern given the consequences of perinatal mood disorders. (PsycInfo Database Record (c) 2025 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"389-399"},"PeriodicalIF":3.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12073001/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143733145","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":"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}