Journal of psychopathology and clinical science最新文献

{"title":"Supplemental Material for Neurocognitive Risk Phenotyping to Predict Mood Symptoms in Adolescence","authors":"","doi":"10.1037/abn0000866.supp","DOIUrl":"https://doi.org/10.1037/abn0000866.supp","url":null,"abstract":"","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139234227","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 Differential Deficits in Social Versus Monetary Reinforcement Learning in Schizophrenia: Associations With Facial Emotion Recognition","authors":"","doi":"10.1037/abn0000869.supp","DOIUrl":"https://doi.org/10.1037/abn0000869.supp","url":null,"abstract":"","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139257909","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 Altered Attentional Processing of Facial Expression Features in Severe Alcohol Use Disorder: An Eye-Tracking Study","authors":"","doi":"10.1037/abn0000868.supp","DOIUrl":"https://doi.org/10.1037/abn0000868.supp","url":null,"abstract":"","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134993052","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":"Relations among symptoms of depression over time in at-risk youth.","authors":"Meghan E Quinn, Qimin Liu, David A Cole, Elizabeth McCauley, Guy Diamond, Judy Garber","doi":"10.1037/abn0000847","DOIUrl":"10.1037/abn0000847","url":null,"abstract":"<p><p>Depression consists of symptoms that may relate to each other in ways that go beyond simple co-occurrence. For example, some symptoms may precede and possibly contribute to the emergence of others. The present study examined several potential relations among the symptoms of depression. The overarching goals were to better understand how depression may unfold and to identify potential targets for intervention. The sample included 120 offspring of depressed parents. Youths' symptoms of depression were rated across 89 weeks. First, we investigated which symptoms preceded and potentially contributed to other symptoms 1 week later. This model revealed that sleep disturbance predicted the occurrence of other symptoms (e.g., sad mood, fatigue), and the occurrence of sad mood was predicted by other symptoms (e.g., worthlessness/guilt, psychomotor symptoms, sleep disturbance). Second, we investigated the within-person question of which symptoms tended to co-occur at the same time point. This model identified sad mood, irritability, and anhedonia as symptoms that tended to co-occur with each other and with many other depressive symptoms. Third, we investigated the between-person question of which symptoms tended to co-occur when averaged across time. This model identified worthlessness/guilt, fatigue, and anhedonia as symptoms strongly associated with other depressive symptoms across people irrespective of timing. Results indicate that the relations among the symptoms of depression vary, such that some symptoms preceded others by 1 week, some symptoms occurred at the same time, and other symptoms co-occurred in individuals. This more detailed view of the connections among depressive symptoms informs our understanding of depression as a dynamic set of unique indicators. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10799190/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9838251","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":"A transdiagnostic, dimensional classification of anxiety shows improved parsimony and predictive noninferiority to DSM.","authors":"Elizabeth C Stade, Robert J DeRubeis, Lyle Ungar, Ayelet Meron Ruscio","doi":"10.1037/abn0000863","DOIUrl":"10.1037/abn0000863","url":null,"abstract":"<p><p>The current conceptualization of anxiety in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5)-which includes 11 anxiety disorders plus additional anxiety-related conditions-does not align with accumulating evidence that anxiety is transdiagnostic and dimensional in nature. Transdiagnostic dimensional anxiety models have been proposed, yet they measure anxiety at either a very broad (e.g., \"anxiety\") or very narrow (e.g., \"performance anxiety\") level, overlooking intermediate properties of anxiety that cut across DSM disorders. Using indicators from a well-validated semistructured interview of anxiety-related disorders, we constructed intermediate-level transdiagnostic dimensions representing the intensity, avoidance, pervasiveness, and onset of anxiety. We captured these content-agnostic dimensions in a sample representing varying levels and forms of anxiety (N = 268), including individuals with generalized anxiety disorder, social anxiety disorder, panic disorder, agoraphobia, specific phobia, separation anxiety disorder, posttraumatic stress disorder, and obsessive-compulsive disorder (n = 205) and individuals with no psychopathology (n = 63). In preregistered analyses, our dimensional anxiety model showed noninferiority to DSM-5 diagnoses in predicting concurrent and prospective measures of anxiety-related impairment, anxiety vulnerabilities, comorbid depression, and suicidal ideation. These results held regardless of whether the dimensions were combined into a single composite or retained as separate components. Our transdiagnostic dimensional model offers meaningful gains in parsimony over DSM, with no loss of predictive power. This project provides a methodological framework for the empirical evaluation of other transdiagnostic dimensional models of psychopathology that have been proposed as alternatives to the DSM. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138447474","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":"Pain before, during, and after nonsuicidal self-injury: Findings from a large web study.","authors":"Ryan W Carpenter, Johanna Hepp, Timothy J Trull","doi":"10.1037/abn0000853","DOIUrl":"10.1037/abn0000853","url":null,"abstract":"<p><p>Competing models suggest that physical pain may play an important role in nonsuicidal self-injury (NSSI) via pain onset or pain offset, or that pain may be absent (analgesia). Few studies have tested these models in the same sample or examined factors that could explain differences in NSSI pain experience. We assessed 1,630 individuals with NSSI histories in an online survey. We descriptively examined pain during NSSI and tested preregistered hypotheses that NSSI frequency, NSSI severity, borderline personality disorder (BPD) features, emotional pain, and dissociation during NSSI are associated with experiencing less NSSI pain. Exploratorily, we also tested whether self-punishment motives were associated with less NSSI pain. Almost all participants reported recent and frequent NSSI. Participants were heterogenous in their report of NSSI pain. We found minimal support for analgesia (reported by only 4.3% of participants). More participants reported pain onset than offset, but offset was associated with reductions in emotional pain. Emotional pain was elevated prior to NSSI and decreased significantly during and after NSSI. We found that higher dissociation during NSSI was associated with less NSSI pain. Contrary to hypotheses, NSSI severity, emotional pain prior to NSSI, and self-punishment motives were associated with <i>greater</i> NSSI pain. NSSI frequency and BPD features were not associated with NSSI pain. BPD features interacted with dissociation and emotional pain prior to NSSI. Findings contrast with laboratory pain induction work, suggesting that, though people who self-harm may have heightened pain tolerance, they may seek to self-injure in a manner that results in pain. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10840631/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10034613","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":"Maternal aggressive behavior in interactions with adolescent offspring: Proximal social-cognitive predictors in depressed and nondepressed mothers.","authors":"Lisa Sheeber, Jessica Lougheed, Tom Hollenstein, Craig Leve, Kavya Mudiam, Catherine Diercks, Nicholas Allen","doi":"10.1037/abn0000854","DOIUrl":"10.1037/abn0000854","url":null,"abstract":"<p><p>Maternal depressive symptoms are associated with elevations in harsh parenting behavior, including criticism, negative affect, and hostile or coercive behavior, and these behaviors contribute to associations between maternal depressive symptomatology and child functioning. We used multilevel survival analysis to examine social-cognitive processes as proximal predictors of the onset and offset of maternal aggressive behavior during interactions with their adolescent children. Low-income women (<i>N</i> = 180) were selected for either: (a) elevated depressive symptoms and a history of treatment for depression (depressed group) or (b) not more than mild levels of current depressive symptomatology, no history of depression treatment, and no current mental health treatment (nondepressed group). These women and their adolescent children (ages 11-14, <i>M</i> = 12.93; 96 male sex, as assigned at birth) participated in a dyadic problem-solving interaction and mothers completed a video-mediated recall procedure, in which they watched a segment of the interaction, labeled their adolescents' affect, and made attributions for their behavior. Mothers in the depressed group were more likely to initiate aggressive behavior and, once initiated, were less likely to transition out of it. Mothers in both groups were less likely to transition out of aggressive behavior when they made negative attributions for their adolescents' behavior. Findings point to promising cognitive and behavioral targets for intervention. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10840930/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41142132","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":"Capturing mood dynamics through adolescent smartphone social communication.","authors":"Lilian Y Li, Esha Trivedi, Fiona Helgren, Grace O Allison, Emily Zhang, Savannah N Buchanan, David Pagliaccio, Katherine Durham, Nicholas B Allen, Randy P Auerbach, Stewart A Shankman","doi":"10.1037/abn0000855","DOIUrl":"10.1037/abn0000855","url":null,"abstract":"<p><p>Most adolescents with depression remain undiagnosed and untreated-missed opportunities that are costly from both personal and public health perspectives. A promising approach to detecting adolescent depression in real-time and at a large scale is through their social communication on the smartphone (e.g., text messages, social media posts). Past research has shown that language from online social communication reliably indicates interindividual differences in depression. To move toward detecting the emergence of depression symptoms intraindividually, the present study tested whether sentiment (i.e., words connoting positive and negative affect) from smartphone social communication prospectively predicted daily mood fluctuations in 83 adolescents (<i>M</i>_age = 16.49, 73.5% female) with a wide range of depression severity. Participants completed daily mood ratings across a 90-day period, during which 354,278 messages were passively collected from social communication apps. Greater positive sentiment (i.e., more positive weighted composite valence score and a greater proportion of words expressing positive sentiment) predicted more positive next-day mood, controlling for previous-day mood. Moreover, greater proportions of positive and negative sentiment were, respectively, associated with lower anhedonia and greater dysphoria symptoms measured at baseline. Exploratory analyses of nonaffective linguistic features showed that greater use of social engagement words (e.g., friends and affiliation) and emojis (primarily consisting of hearts) predicted more positive changes in mood. Collectively, findings suggest that language from smartphone social communication can detect mood fluctuations in adolescents, laying the foundation for language-based tools to identify periods of heightened depression risk. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10818010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9937151","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":"Negative emotion differentiation in trauma-exposed community members: Associations with posttraumatic stress disorder symptoms in daily life.","authors":"Cameron P Pugach, Lisa R Starr, Paul J Silvia, Blair E Wisco","doi":"10.1037/abn0000851","DOIUrl":"10.1037/abn0000851","url":null,"abstract":"<p><p>The ability to make fine-grained distinctions between discrete negative emotions-termed negative emotion differentiation (NED)-is important for emotion regulation and psychological well-being. Posttraumatic stress disorder (PTSD) is associated with elevated trauma-related negative emotions (e.g., fear, anger, guilt, shame) and self-reported difficulty identifying feelings, suggesting that low NED may be a feature of PTSD. PTSD is also characterized by overreliance on avoidance as an emotion regulation strategy-a characteristic that could be influenced by low NED. Here, we examined whether NED is reduced in PTSD and the role NED plays in the association between trauma-related avoidance and other PTSD symptoms (traumatic reexperiencing, negative alterations in cognition and mood, alterations in arousal and reactivity). Hypotheses were tested using 3 days of ecological momentary assessment (up to 17 prompts per day) in 80 trauma-exposed participants (39 with PTSD, 41 without PTSD; total completed surveys = 2,158). NED was reduced and self-reported difficulty identifying feelings was elevated in those with PTSD, and both predicted PTSD severity (Clinician-Administered PTSD Scale-5 score) and momentary PTSD symptoms. Furthermore, low NED, but not difficulty identifying feelings, predicted a stronger association between momentary trauma-related avoidance and PTSD symptoms. Results suggest that NED is involved in the emotional processing of trauma by decreasing the negative impact of avoidance behavior on other PTSD symptoms. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10799170/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10072361","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":"Depression and anxiety have distinct and overlapping language patterns: Results from a clinical interview.","authors":"Elizabeth C Stade, Lyle Ungar, Johannes C Eichstaedt, Garrick Sherman, Ayelet Meron Ruscio","doi":"10.1037/abn0000850","DOIUrl":"10.1037/abn0000850","url":null,"abstract":"<p><p>Depression has been associated with heightened <i>first-person singular pronoun</i> use (<i>I-usage</i>; e.g., \"I,\" \"my\") and <i>negative emotion</i> words. However, past research has relied on nonclinical samples and nonspecific depression measures, raising the question of whether these features are unique to depression vis-à-vis frequently co-occurring conditions, especially anxiety. Using structured questions about recent life changes or difficulties, we interviewed a sample of individuals with varying levels of depression and anxiety (<i>N</i> = 486), including individuals in a major depressive episode (<i>n</i> = 228) and/or diagnosed with generalized anxiety disorder (<i>n</i> = 273). Interviews were transcribed to provide a natural language sample. Analyses isolated language features associated with gold standard, clinician-rated measures of depression and anxiety. Many language features associated with depression were in fact shared between depression and anxiety. Language markers with relative specificity to depression included <i>I-usage</i>, <i>sadness</i>, and decreased <i>positive emotion,</i> while <i>negations</i> (e.g., \"not,\" \"no\"), <i>negative emotion,</i> and several emotional language markers (e.g., <i>anxiety, stress, depression</i>) were relatively specific to anxiety. Several of these results were replicated using a self-report measure designed to disentangle components of depression and anxiety. We next built machine learning models to detect severity of common and specific depression and anxiety using only interview language. Individuals' speech characteristics during this brief interview predicted their depression and anxiety severity, beyond other clinical and demographic variables. Depression and anxiety have partially distinct patterns of expression in spoken language. Monitoring of depression and anxiety severity via language can augment traditional assessment modalities and aid in early detection. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10799169/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10150035","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}