Journal of mood and anxiety disorders最新文献

{"title":"Investigating the dynamic relations between maternal sleep and depression across pregnancy","authors":"Melissa Nevarez-Brewster ,&nbsp;Anna M. Zhou ,&nbsp;Jenalee R. Doom ,&nbsp;Benjamin L. Hankin ,&nbsp;Elysia Poggi Davis","doi":"10.1016/j.xjmad.2025.100139","DOIUrl":"10.1016/j.xjmad.2025.100139","url":null,"abstract":"<div><h3>Background</h3><div>Sleep problems and depression symptoms are highly prevalent and dynamic during pregnancy with impacts on both maternal and offspring health. However, few studies have examined their bidirectional relations across pregnancy to determine whether sleep is an independent predictor of later depression symptoms, and vice versa. The purpose of this study is to investigate the dynamic relations between prenatal maternal sleep problems and depression symptoms three times across pregnancy.</div></div><div><h3>Method</h3><div>Pregnant participants (<em>n</em> = 222) recruited in early pregnancy completed sleep and depression questionnaires at around 17-, 28-, and 35-weeks’ gestation. Prenatal maternal sleep quality was assessed using the Pittsburgh Sleep Quality Index, while depression symptoms were assessed using the Edinburgh Postnatal Depression Scale. Cross-lagged panel models were utilized to examine autoregressive and cross-lagged associations between sleep problems and depression symptoms across pregnancy.</div></div><div><h3>Results</h3><div>Findings reveal that both sleep problems and depression symptoms independently predict one another across pregnancy. All associations covaried for baseline sleep problems and depression symptoms. Specifically, more sleep problems in early pregnancy predicted higher depression symptoms mid-pregnancy (β=.14, <em>p</em> = .011), and elevated depression symptoms in early pregnancy predicted more sleep problems mid-pregnancy (β=.18, <em>p</em> = .002). Similarly, more sleep problems in mid-pregnancy predicted more depression symptoms in late pregnancy (β =.10, <em>p</em> = .029), while depression symptoms in mid-pregnancy predicted more sleep problems during late pregnancy (β=.16, <em>p</em> = .004).</div></div><div><h3>Conclusion</h3><div>Both prenatal maternal sleep and depression independently predict one another across pregnancy. Assessing sleep in early pregnancy may help with the detection of worsening depression, and vice versa, across the perinatal period.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100139"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144579563","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":"Gender differences in symptom profiles of individuals being treated for mood disorders","authors":"Sandra J. Weiss ,&nbsp;Sarah Nagle-Yang ,&nbsp;Heather Flynn ,&nbsp;Bruce Cooper ,&nbsp;Maria Muzik ,&nbsp;Diana I. Simeonova ,&nbsp;Aysegul Ozerdem","doi":"10.1016/j.xjmad.2025.100152","DOIUrl":"10.1016/j.xjmad.2025.100152","url":null,"abstract":"<div><h3>Background</h3><div>A growing body of research suggests that symptoms of mood disorders vary by gender. Such differences could reflect unique mood phenotypes for women and men. We examined whether women and men with mood disorders had comparable or distinct profiles of anxiety and depressive symptoms, along with demographic and clinical variables associated with these profiles.</div></div><div><h3>Methods</h3><div>Our research involved a secondary analysis of data collected from 36,381 adults (age 18–98; 67.2 % women and 32.8 % men) through the National Network of Depression Center’s Mood Outcomes Program. Latent class analysis (LCA) and logistic regression modeling were used to examine the aims. Symptoms included in the LCA were derived from the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder Scale.</div></div><div><h3>Results</h3><div>Four latent classes were identified and labeled based on their predominant symptoms (BIC: 629,688.56; VLMR: 3787.30, p &lt; .01). Women had greater odds of experiencing ‘Demoralized Depression’ than men (OR = 1.22, p = .001), with women of reproductive age having the greatest odds. Men had greater odds than women of having symptom profiles that reflected ‘Anxious Arousal’ (OR = .88, p = .001) or ‘Mild Fatigue and Insomnia’ (OR = .89, p = .001). There was no gender difference in the odds of a ‘Comorbid Anxiety and Depression’ profile.</div></div><div><h3>Conclusions</h3><div>Results suggest gender-specific phenotypes that differentially characterize mood disturbances, although effect sizes were small. Further research is needed to confirm these phenotypes and identify sexually dimorphic biomarkers or psychosocial exposures that may underlie gender differences. Understanding the heterogeneity of phenotypes can inform precision-based assessment and treatment of mood disorders, improving affective well-being of women and men in the long term.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100152"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145265493","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":"Maternal histories of depression and childhood maltreatment, authoritarian parenting, and daughter error-related negativity: Developmental model of adolescent daughter depression risk","authors":"Katie J. Paige ,&nbsp;Katie L. Burkhouse ,&nbsp;Jennifer H. Suor","doi":"10.1016/j.xjmad.2025.100153","DOIUrl":"10.1016/j.xjmad.2025.100153","url":null,"abstract":"<div><div>Maternal depression, maltreatment history, and authoritarian parenting styles are associated with adolescent depression, especially among girls. Individual characteristics, such as altered error-related negativity (ΔERN), an event-related potential biomarker implicated in internalizing disorders, may potentiate depression vulnerability among adolescent girls exposed to these risk factors. Yet, prior work has not evaluated the interplay among contextual and biological risk mechanisms in the development of girls’ depression. We conducted a longitudinal study of biological mother-daughter dyads (N = 69; ages 11–16 years) assessed across three timepoints. We recruited high (n = 29) and low risk groups (n = 40) of daughters based on maternal depression history. Participants completed symptom and parenting assessments, and a flanker task to elicit the ΔERN via electroencephalogram recordings. We found that maternal depression history predicted increased daughters’ depressive symptoms. Maternal maltreatment history indirectly predicted increases in daughters’ depressive symptoms across 1-year via authoritarian parenting. This mediation effect was moderated by daughter ΔERN. Only daughters who exhibited an enhanced ΔERN and experienced greater authoritarian parenting styles reported increased depressive symptoms. Findings suggest authoritarian parenting styles and ΔERN may be important targets for depression prevention for this vulnerable population of adolescent girls and mothers.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100153"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145332141","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":"An examination of the impact of treatment on later risk for a substance use disorder in young people with major depressive disorder and bipolar disorder","authors":"Amy M. Yule ,&nbsp;Ann Lee Kim ,&nbsp;Katy Burns ,&nbsp;Maura DiSalvo ,&nbsp;Vinod Rao ,&nbsp;Mira Stone ,&nbsp;Sylvia Lanni ,&nbsp;Timothy E. Wilens","doi":"10.1016/j.xjmad.2025.100149","DOIUrl":"10.1016/j.xjmad.2025.100149","url":null,"abstract":"<div><h3>Objective</h3><div>We examined the impact of treatment of young people with major depressive disorder (MDD) and bipolar disorder (BPD) on risk for subsequent substance use disorder (SUD).</div></div><div><h3>Methods</h3><div>Patients aged 16–30 years seen at Mass General Brigham between 02/16/15 and 07/14/23 with MDD or BPD and no history of SUD were included. Diagnoses were determined using electronic health record data (billing codes, problem lists, patient-reported outcome measures, and other proxies of diagnosis(es)). Patients were treated or untreated based on pharmacological and/or psychosocial treatment following the onset of MDD/BPD and prior to SUD onset. Groups were matched on propensity scores (1:1) and compared on the development of SUD using a Cox regression model.</div></div><div><h3>Results</h3><div>A total of 3601 and 796 patients (mean age 22.6 ± 4.3 years) were identified with no SUD and MDD or BPD, respectively. Final analysis of matched patients with and without treatment included 1666 with MDD and 314 with BPD. The most common treatment was pharmacologic only for MDD (89.3 %) and BPD (94.3 %). Overall, there was no significant difference in the development of SUD between those treated and not treated for MDD (HR=1.06 [0.84, 1.32], p = 0.63) nor those treated and not treated for BPD (HR=0.80 [0.49, 1.30], p = 0.37). However, longer duration of treatment for both MDD and BPD was associated with a significant reduction in risk for SUD. There was a 2.1 % risk reduction for each additional cumulative month of treatment for MDD (HR=0. 979 [0.976, 0.981], p &lt; 0.001) and a 2.6 % risk reduction for each additional cumulative month of treatment for BPD (HR=0.974 [0.968, 0.979], p &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>Longer treatment duration for young people with MDD and BPD is associated with decreased SUD risk.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100149"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109602","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 power of positivity: Exploring affective and social processes of change throughout a positive valence treatment for anxiety or depression","authors":"Madeleine Rassaby ,&nbsp;Samantha N. Adams ,&nbsp;Murray B. Stein ,&nbsp;Charles T. Taylor","doi":"10.1016/j.xjmad.2025.100146","DOIUrl":"10.1016/j.xjmad.2025.100146","url":null,"abstract":"<div><h3>Objective</h3><div>Social disconnection is common and disabling in persons with anxiety or depression, yet remains underexplored in treatment research. Proposed mechanisms underlying social disconnection include heightened negative valence system activation (increased negative affect [NA] and sensitivity to social threats) and diminished positive valence system activation (reduced positive affect [PA] and sensitivity to social rewards). Better understanding whether and how changes in affect relate to social connectedness throughout treatment may inform targets for remediation. This study addressed this question among individuals with clinically significant anxiety or depression and impaired social connectedness and functioning who completed a positive valence-targeted psychosocial intervention, Amplification of Positivity (AMP).</div></div><div><h3>Method</h3><div>A secondary analysis was conducted using data from two trials (NCT03196544; NCT049452390), comprising 98 participants randomized to AMP. Longitudinal cross-lagged panel models, accounting for autoregression, examined the within-person, time-dependent relationships between PA and NA (entered concurrently) and subsequent social connectedness (loneliness and friendship) throughout treatment (Aim 1). Reverse models examined the relationships between connectedness and subsequent PA and NA (Aim 2). An exploratory analysis substituted anxiety and depressive symptoms for NA.</div></div><div><h3>Results</h3><div>Higher PA predicted greater perceptions of friendship and lower loneliness at the following time point; NA was not significantly related to either outcome when examined concurrently with PA. Greater perceived friendship predicted higher subsequent PA; the effect of loneliness was non-significant. Neither friendship nor loneliness levels predicted subsequent NA. The same patterns were observed in exploratory symptom models, except lower anxiety (as well as higher PA) predicted lower subsequent loneliness.</div></div><div><h3>Conclusions</h3><div>Higher PA (but not NA) predicted greater subsequent perceived friendship and lower loneliness throughout treatment.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100146"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010411","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":"An examination of anhedonia as a predictor of response with transcranial magnetic stimulation treatment for youth with depression","authors":"Jacquelin C. Hecker ,&nbsp;Paul A. Nakonezny ,&nbsp;Cicek N. Bakir ,&nbsp;Irem Azamet ,&nbsp;Magdalena Romanowicz ,&nbsp;Julia Shekunov ,&nbsp;Jennifer L. Vande Voort ,&nbsp;J. Luis Lujan ,&nbsp;Paul E. Croarkin","doi":"10.1016/j.xjmad.2025.100147","DOIUrl":"10.1016/j.xjmad.2025.100147","url":null,"abstract":"<div><div>This exploratory study examined the relationship between the change in anhedonia symptoms and treatment response in adolescents receiving 1 Hz or 10 Hz transcranial magnetic stimulation (TMS) treatment for major depressive disorder (MDD). Participants were aged 12–18 years, had a depressive symptom score of 40 or higher on the Children’s Depressed Rating Scale-Revised (CDRS-R), and were randomized to either the 1 Hz (n = 22) or 10 Hz (n = 19) group for 30 daily TMS treatments over the left dorsolateral prefrontal cortex (LDLPFC). Anhedonia was measured using items from the Beck Depression Inventory-II and CDRS-R. Treatment outcome was assessed with the Clinical Global Impressions-Improvement scales (CGI-I). Logistic regression was used to estimate the odds of CGI-I treatment response from the change in anhedonia symptoms (baseline to week 6), and a linear mixed model of repeated measures analyzed the change in anhedonia (baseline, weeks 4 and 6) compared between the TMS treatment groups over the 6-week study period. TMS stimulus frequency did not affect the change in anhedonia and CGI-I response. There was a significant inverse relationship concerning the change in anhedonia symptoms and CGI-I response for both the 10 Hz (p = 0.0109, δ= −0.8581, SE= 0.3371) and 1 Hz (p = 0.0277, δ= −1.1017, SE=0.5003) groups. Thus, as anhedonia symptoms improved over the 6 weeks, the probability of CGI-I response at week 6 increased for both the 1 Hz and 10 Hz TMS groups. An adjusted least squares for anhedonia revealed a significant improvement in anhedonia for TMS groups (10 Hz, p &lt; 0.0001, <em>d=</em>0.9032; 1 Hz, p &lt; 0.0001, <em>d</em>=0.8536). Future studies of anhedonia may inform precision TMS treatments for youth.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100147"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010412","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":"Corrigendum to “Clinical characteristics and longitudinal associations with obsessive-compulsive disorder in youth exposed to trauma” [J Mood Anxiety Disord 10C (2025) 100117]","authors":"Caitlin M. Pinciotti ,&nbsp;Paul J. Rathouz ,&nbsp;Andrew G. Guzick ,&nbsp;Jeffrey D. Shahidullah ,&nbsp;Emily J. Bivins ,&nbsp;David B. Riddle ,&nbsp;Ogechi “Cynthia” Onyeka ,&nbsp;Eric A. Storch ,&nbsp;Wayne K. Goodman ,&nbsp;Kelli Franco ,&nbsp;Justin F. Rousseau ,&nbsp;D. Jeffrey Newport ,&nbsp;Karen Dineen Wagner ,&nbsp;Charles B. Nemeroff","doi":"10.1016/j.xjmad.2025.100122","DOIUrl":"10.1016/j.xjmad.2025.100122","url":null,"abstract":"","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100122"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747428","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":"Clinical decision support for pharmacologic management of treatment-resistant depression with augmented large language models","authors":"Roy H. Perlis ,&nbsp;Pilar F. Verhaak ,&nbsp;Joseph Goldberg ,&nbsp;Cristina Cusin ,&nbsp;Michael Ostacher ,&nbsp;Gin S. Malhi ,&nbsp;Carlos A. Zarate ,&nbsp;Richard C. Shelton ,&nbsp;Dan V. Iosifescu ,&nbsp;Mauricio Tohen ,&nbsp;Manish Kumar Jha ,&nbsp;Martha Sajatovic ,&nbsp;Michael Berk","doi":"10.1016/j.xjmad.2025.100142","DOIUrl":"10.1016/j.xjmad.2025.100142","url":null,"abstract":"<div><h3>Background</h3><div>We evaluated whether a large language model could assist in selecting psychopharmacological treatments for adults with treatment-resistant depression.</div></div><div><h3>Methods</h3><div>We generated 20 clinical vignettes reflecting treatment-resistant depression among adults based on distributions drawn from electronic health records. Each vignette was evaluated by 2 expert psychopharmacologists to determine and rank the 5 best next-step pharmacologic interventions, as well as contraindicated or poor next-step treatments. Vignettes were then presented in random order, permuting gender and race, to a large language model (Qwen 2.5:7B), augmented with a synopsis of published treatment guidelines. Model output was compared to expert rankings, as well as to those of a convenience sample of community clinicians and an additional group of expert clinicians.</div></div><div><h3>Results</h3><div>The augmented model prioritized the expert-designated optimal choice for 114/320 vignettes (35.6 %, 95 % CI 30.6 %–41.0 %; Cohen’s kappa = 0.34, 95 % CI 0.28–0.39). There were no vignettes for which any of the model choices were among the poor or contraindicated treatments. Results were not meaningfully different when gender or race of the vignette was permuted to examine risk for bias. A sample of community clinicians identified the optimal treatment choice for 12/91 vignettes (13.2 %, 95 % CI: 7.7–21.6 %; Cohen’s kappa = 0.10, 95 % CI 0.03–0.18), while an additional group of expert psychopharmacologists identified optimal treatment for 9/140 (6.4 %, 95 %CI: 3.4–11.8 %; Cohen’s kappa = 0.03, 95 % CI 0.01–0.08).</div></div><div><h3>Conclusion</h3><div>An augmented language model demonstrated moderate agreement with expert recommendations and avoided contraindicated treatments, suggesting potential as a tool for supporting complex psychopharmacologic decision-making in treatment-resistant depression.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100142"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662142","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":"Neural propensity for trait rumination in adolescents: A cross-sectional study with Voxel-Based Morphometry","authors":"Diane Joss ,&nbsp;Anna O. Tierney ,&nbsp;Kristina Pidvirny ,&nbsp;Nigel M. Jaffe ,&nbsp;Hannah Goodman ,&nbsp;Nicholas J. Carson ,&nbsp;Zev Schuman-Olivier ,&nbsp;Christian A. Webb","doi":"10.1016/j.xjmad.2025.100125","DOIUrl":"10.1016/j.xjmad.2025.100125","url":null,"abstract":"<div><div>Rumination is a transdiagnostic risk factor among adolescents for developing psychopathology. Despite prior research on the neuroscience of rumination in adults, more research is needed regarding the underlying structural neural correlates associated with adolescent rumination. This study analyzed the neural correlates of trait rumination among adolescents (N = 95) using Voxel-Based Morphometry. We found higher trait rumination was associated with lower gray matter density in the left orbitofrontal cortex, inferior frontal gyrus, dorsolateral prefrontal gyrus, and bilateral temporal gyrus, which are involved in inhibitory control, language processing, executive functioning, and social cognitions, respectively. Additionally, higher trait rumination was also associated with higher gray matter density in the caudate and insula, regions linked to impulsivity and negative emotions. While most of the findings are consistent with prior research on adult depression and rumination, some discrepancies may stem from differences in age and psychopathology severity across study samples. This cross-sectional study provides insights into the neural propensities of adolescent rumination.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"11 ","pages":"Article 100125"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143922893","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 structure of posttraumatic stress symptoms in youth with and without obsessive-compulsive disorder: New insights using factor and network analysis","authors":"Caitlin M. Pinciotti ,&nbsp;Matti Cervin ,&nbsp;Kendall N. Drummond ,&nbsp;Jeffrey D. Shahidullah ,&nbsp;Justin F. Rousseau ,&nbsp;Cody G. Dodd ,&nbsp;Mercedes Ramirez ,&nbsp;John M. Hettema ,&nbsp;Robyn Richmond ,&nbsp;Leslie K. Taylor ,&nbsp;Lynn Monnat ,&nbsp;Leslie Proch ,&nbsp;Fei Teng ,&nbsp;Wayne K. Goodman ,&nbsp;Eric A. Storch ,&nbsp;Andrew G. Guzick ,&nbsp;D. Jeffrey Newport ,&nbsp;Karen Dineen Wagner ,&nbsp;Charles B. Nemeroff","doi":"10.1016/j.xjmad.2025.100135","DOIUrl":"10.1016/j.xjmad.2025.100135","url":null,"abstract":"<div><div>Posttraumatic stress disorder (PTSD) and obsessive-compulsive disorder (OCD) share ostensibly similar and sometimes overlapping symptoms that complicate diagnostic assessment and conceptualization. While varying models for the symptom structure of PTSD have been proposed – including the presently used 4-factor and a more fine-grained 7-factor model – little research has focused on youth and even less is known about how these symptoms relate to one another when OCD is present. The present study used confirmatory factor analysis (CFA) and network analysis to compare PTSD symptom relations among 2066 trauma-exposed youth aged 8–20 enrolled in the Texas Childhood Trauma Research Network, of which 10.9 % met diagnostic criteria for OCD. CFA model fit was strongest for the 7-factor PTSD model, and multigroup CFA found no evidence that the structure differed as a function of OCD diagnosis, sex, nor age group. Internal consistency in the 7-factor model ranged from poor to good (α = 0.59–0.80), while all clusters of the 4-factor model demonstrated adequate internal consistency (α = 0.75–0.89). Network analysis revealed unique associations between PTSD and OCD. Specifically, having OCD was linked to more Negative Affect (edge = 0.15) and Anhedonia (edge = 0.16), which are both part of the 4-factor Negative Alterations in Cognitions and Mood symptom cluster. While the clinical relevance of the 7-factor model is still unclear, it evidenced mixed empirical support in the present sample and provided greater nuance when examining links between PTSD and OCD.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"11 ","pages":"Article 100135"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335797","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}