Journal of mood and anxiety disorders最新文献

{"title":"A prospective study of pre-trauma fear learning and extinction as risk factors for posttraumatic stress disorder","authors":"Dean T. Acheson ,&nbsp;Jonathon R. Howlett ,&nbsp;Katia M. Harlé ,&nbsp;Daniel M. Stout ,&nbsp;Dewleen G. Baker ,&nbsp;Caroline M. Nievergelt ,&nbsp;Mark A. Geyer ,&nbsp;Victoria B. Risbrough ,&nbsp;MRS-II Team","doi":"10.1016/j.xjmad.2025.100148","DOIUrl":"10.1016/j.xjmad.2025.100148","url":null,"abstract":"<div><div>Identifying risk for developing trauma-related disorders is a critical step in future prevention and intervention strategies. Impairments in inhibition of learned fear, such as safety signal learning and fear extinction, are suggested to be core mechanisms underlying symptom development and maintenance of posttraumatic stress disorder (PTSD). However, it is unclear if these impairments are pre-existing risk factors for PTSD, or if fear inhibition abnormalities arise only after trauma and symptom development. We utilized a prospective-longitudinal study in human, male service members at high risk for trauma exposure to test the hypothesis that learned fear impairments are pre-existing risk factors for PTSD. PTSD symptoms, fear learning, and fear extinction were assessed prior to a 7-month combat deployment to Afghanistan and 4–6 months after return (final N = 643). Fear learning and extinction were measured by fear-potentiated startle, self-reported anxiety, and threat expectancy ratings. Poor discrimination between threat and safety signals before trauma predicted higher likelihood for development of new onset PTSD after trauma, but not PTSD severity. This effect remained when controlling for trauma exposure. Lower fear extinction learning rate at the pre-trauma time-point predicted PTSD severity but not PTSD status. These findings support the hypothesis that both overgeneralization of fear and/or poor safety signal learning as well as slower fear extinction learning may predispose individuals for development of PTSD. These findings support further study of cue discrimination and slow fear extinction learning as “intermediate phenotypes” for intervention strategies and mechanistic studies targeting the neurobiology of risk and resilience to trauma-related disorders.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100148"},"PeriodicalIF":0.0,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227021","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":"2025-09-10","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":"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":"2025-09-03","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":"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":"2025-08-27","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":"Feasibility and accuracy of the ASERT digital questionnaire in mood tracking for a longitudinal research study on bipolar disorder","authors":"Isaac Lynch ,&nbsp;Gail I.S. Harmata ,&nbsp;Ercole John Barsotti ,&nbsp;Jess G. Fiedorowicz ,&nbsp;Aislinn J. Williams ,&nbsp;Cari Linkenmeyer ,&nbsp;Sarah Smith ,&nbsp;Spencer Smith ,&nbsp;Jenny Gringer Richards ,&nbsp;Jeffrey D. Long ,&nbsp;Soňa Sikorová ,&nbsp;Eduard Bakstein ,&nbsp;John A. Wemmie ,&nbsp;Vincent A. Magnotta","doi":"10.1016/j.xjmad.2025.100145","DOIUrl":"10.1016/j.xjmad.2025.100145","url":null,"abstract":"<div><h3>Background</h3><div>It is challenging for bipolar disorder (BD) studies to capture multiple mood states within a participant at in-person visits. Mood tracking could aid scheduling, but evaluation is usually done using clinical assessments inconvenient for participants to undergo often. However, frequent assessments are necessary to capture dynamic mood changes typical of BD. The Aktibipo Self-Rating Questionnaire (ASERT) is a simple, self-report mood survey. We examined the utility of collecting the ASERT weekly to assess mood changes and schedule follow-up visits.</div></div><div><h3>Methods</h3><div>Sixty-one participants with BD completed the ASERT and were administered the Montgomery-Åsberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) during a baseline visit. Participants were then sent weekly text messages with an ASERT survey link. If participants exhibited at least a 5-point (later 8-point) change from baseline on either the mania or depression subscale, they were called and administered the MADRS or YMRS. A 10-point change on either phone-delivered clinical scale prompted a follow-up visit. Associations between ASERT subscales and clinical scales were evaluated using Spearman’s correlation and robust regression.</div></div><div><h3>Results</h3><div>Mean completion rate was 94.8 % and median completion time was 67 s. The ASERT depression and mania subscales correlated with the MADRS and YMRS at baseline and all follow-up time points. Our screening method aided scheduling, with 15 of 19 participants exhibiting a 10-point change or greater on the MADRS and/or YMRS at Visit 2.</div></div><div><h3>Conclusions</h3><div>The ASERT can be feasibly deployed to track mood and can help schedule follow-up assessments in BD longitudinal studies.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"12 ","pages":"Article 100145"},"PeriodicalIF":0.0,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988624","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":"2025-07-14","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":"Editor’s note: A Successful Launch and Thanks!","authors":"Stephen M. Strakowski,&nbsp;Erika J. Wolf,&nbsp;Olusola Ajilore","doi":"10.1016/j.xjmad.2025.100143","DOIUrl":"10.1016/j.xjmad.2025.100143","url":null,"abstract":"","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"11 ","pages":"Article 100143"},"PeriodicalIF":0.0,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144696704","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":"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":"2025-07-04","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":"Implications of the choice of method to identify major depressive disorder in large research cohorts","authors":"Jorge A. Sanchez-Ruiz ,&nbsp;Nicolas A. Nuñez ,&nbsp;Gregory D. Jenkins ,&nbsp;Brandon J. Coombes ,&nbsp;Lauren A. Lepow ,&nbsp;Braja Gopal Patra ,&nbsp;Ardesheer Talati ,&nbsp;Mark Olfson ,&nbsp;J. John Mann ,&nbsp;Myrna M. Weissman ,&nbsp;Jyotishman Pathak ,&nbsp;Alexander Charney ,&nbsp;Euijung Ryu ,&nbsp;Joanna M. Biernacka","doi":"10.1016/j.xjmad.2025.100136","DOIUrl":"10.1016/j.xjmad.2025.100136","url":null,"abstract":"<div><h3>Background</h3><div>Clinical heterogeneity and variations in methods to identify major depressive disorder (MDD) across studies compromise replicability of research findings. This study evaluated potential implications of different MDD case definitions in a large biobank cohort.</div></div><div><h3>Methods</h3><div>Among Mayo Clinic Biobank participants, MDD was identified using two methods: self-report MDD in a participant questionnaire (PQ-MDD) and MDD ICD codes in the electronic health record (EHR-MDD). We examined agreement between these definitions and evaluated relationships between case agreement and participant characteristics, including MDD polygenic risk scores (PRS). Finally, we evaluated associations between different MDD case/control definitions and participant characteristics known to be related to MDD.</div></div><div><h3>Results</h3><div>Among 55,656 participants, 23 % were identified as PQ-MDD cases and 17 % as EHR-MDD cases, with 85 % overall agreement (61 % case agreement) between these definitions. Among participants identified as MDD cases by one method, older and male patients, and those with lower measures of morbidity at enrollment, were less likely to be identified as cases by the other method. The strength of the associations between different MDD case/control definitions and participant characteristics varied depending on whether MDD definitions used the same source of information (i.e., EHR-only, self-report only)—resulting in stronger associations—versus different sources of information (i.e., one from EHR, one from self-report)—resulting in weaker associations.</div></div><div><h3>Conclusion</h3><div>Our results demonstrate how the methods used to identify patients with history of MDD can affect sample characteristics and risk factor associations, highlighting the importance of considering phenotype ascertainment in the interpretation of research results.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"11 ","pages":"Article 100136"},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523142","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":"Sense of purpose and emotion regulation strategy use: A mini-review with directions for future research","authors":"Patrick L. Hill,&nbsp;Judy J. Kwak,&nbsp;Jennifer F. Beatty-Wright","doi":"10.1016/j.xjmad.2025.100133","DOIUrl":"10.1016/j.xjmad.2025.100133","url":null,"abstract":"<div><div>Individuals with a stronger sense of purpose in life consistently exhibit less anxiety and depressive symptoms, in part due to their reduced reactivity to stressful situations. However, the affective, behavioral, and cognitive mechanisms underlying these associations remain somewhat unclear. The current brief review addresses this concern with respect to how sense of purpose may be associated with emotion regulation strategy use. Although relatively nascent, the emerging literature suggests that emotion regulation strategies may be integral to living a purposeful life. Our review highlights that while some strategies, such as cognitive reappraisal, have been consistently connected to a sense of purpose, others, including situation selection, merit further attention from the research literature. The brief review concludes by highlighting directions for future research, including the observation of whether a sense of purpose relates to polyregulation, as well as how individuals employ emotion regulation strategies in their daily lives.</div></div>","PeriodicalId":73841,"journal":{"name":"Journal of mood and anxiety disorders","volume":"11 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144322805","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}