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Objective Learning more about how biological traits, like temperament and sensitivity in the behavioral inhibition (BIS) and behavioral activation (BAS) systems, relate to mood pathology is consistent with the Research Domain Criteria initiative׳s goal of investigating mechanisms of risk. Method Korean young adults ( n =128) and American young adults ( n =630, of whom 23 has recent treatment for bipolar disorder, and 21for depression) completed self-report questionnaires, including the TEMPS-A, the BIS/BAS scales, Beck Depression Inventory (BDI), and Hypomanic Checklist (HCL-32). Linear regression quantified relations between mood symptoms, sample characteristics, temperament, and BIS/BAS. Results Temperament styles explained 49% of the variance in BDI scores. BIS explained an additional 1% of the variance in BDI scores. BAS Fun and Reward ( p <.01), in addition to cyclothymic and hyperthymic temperaments ( p <.001) explained 21% of the variance in HCL-32 scores. Sample characteristics were not significant predictors in the full model. Limitations Differences in sample size, the cross-sectional study design, and lack of collateral report or behavioral measures of constructs are limitations. Conclusions Affective temperament and BIS/BAS are complementary but distinct constructs. Affective temperament, particularly cyclothymic, may represent a stronger diathesis for mood pathology, and seems potent irrespective of culture or diagnosis. Assessing temperament may help overcome some challenges in diagnosing mood disorders. [ABSTRACT FROM AUTHOR]

Background Suicidality among youth with bipolar disorder is an extreme, but largely unaddressed, public health problem. The current study examined the psychosocial characteristics differentiating youth with varying severities of suicidal ideation that may dictate targets for suicide prevention interventions. Methods Participants included 72 youth aged 7–13 (M=9.19, SD=1.61) with DSM-IV-TR bipolar I, II, or NOS and a parent/caregiver. Current suicidal ideation and correlates were assessed at intake, including: demographics and clinical factors (diagnosis, symptom severity, psychiatric comorbidity); child factors (cognitive risk and quality of life); and family factors (parenting stress, family cohesion, and family rigidity). Results Current ideation was prevalent in this young sample: 41% endorsed any ideation, and 31% endorsed active forms. Depression symptoms, quality of life, hopelessness, self-esteem, and family rigidity differentiated youth with increasing ideation severity. Separate logistic regressions examined all significant child- and family-level factors, controlling for demographic and clinical variables. Greater family rigidity and lower self-esteem remained significant predictors of current planful ideation. Diagnosis, index episode, comorbidity, and mania severity did not differentiate non-ideators from those with current ideation. Limitations Limitations include the small sample to examine low base-rate severe ideation, cross-sectional analyses and generalizability of findings beyond the outpatient clinical sample. Conclusions Findings underscore the importance of assessing and addressing suicidality in preadolescent youth with bipolar disorder, before youth progress to more severe suicidal behaviors. Results also highlight child self-esteem and family rigidity as key treatment targets to reduce suicide risk in pediatric bipolar disorder. [ABSTRACT FROM AUTHOR]

Abstract: Background: In the pediatric bipolar disorder literature, mania has eclipsed depression as the mood state of most interest. Though depressive episodes tend to be more prevalent and persisting than manic episodes, research about the associated consequences is limited. The goal of the present study was to compare the influences of depressive and manic symptoms on domains of functioning in which youth with bipolar disorder often demonstrate deficits. Method: Youth meeting DSM-IV-TR criteria for bipolar spectrum disorders (I, II, and NOS) between the ages of seven and 13 were recruited from a clinic in a large Midwestern city (N=54). Both parent and clinician report of manic and depressive symptoms were used in regression analyses to determine how each set of symptoms was related to child functioning. Results: Parent-rated child depression symptoms were associated with problem behaviors (p<0.05), and lower quality of life (p<0.001). Clinician-rated child depression was associated with greater psychiatric illness (p<0.05), lower child self-concept (p<0.001), lower quality of life (p<0.05), hopelessness (p<0.05), and suicidal ideation (p<0.05). Parent-rated mania was associated with better self-esteem (p<0.05) and physical wellbeing (p<0.05). Clinician-rated mania was associated with greater psychiatric illness (p<0.05) and physical wellbeing (p<0.05). Limitations: The specific outcomes predicted by parent and clinician-rated symptoms vary. Though the overall story told – that bipolar depression is associated with significant impairment in youth – is consistent, further research is necessary to more fully understand the impact of each mood state. Conclusion: Mania is undoubtedly destructive, but this study provides evidence to suggest that depression may be more deleterious to youths' psychosocial functioning and quality of life; more attention to understanding and ameliorating the effects of bipolar depression on youth is warranted. [Copyright &y& Elsevier]

DSM-IV-TR defines four subtypes of bipolar disorder (BP): bipolar I, bipolar II, cyclothymic disorder and bipolar not otherwise specified (NOS). However, cyclothymic disorder in children is rarely researched, or often subsumed in an 'NOS' category. The present study tests the replicability of findings from an earlier study, and expands on the criterion validity of cyclothymic disorder in youth. Using the Robins and Guze () framework we examined the validity of cyclothymic disorder as a subtype of BP. Using a youth (ages 5-17) outpatient clinical sample ( N = 894), participants with cyclothymic disorder ( n = 53) were compared to participants with other BP spectrum disorders ( n = 399) and to participants with non-bipolar disorders ( n = 442). Analyses tested differences in youth with cyclothymic disorder and bipolar disorder not otherwise specified who do, and those who do not, have a parent with BP. Compared to youth with non-bipolar disorders, youth with cyclothymic disorder had higher irritability ( p < 0.001), more comorbidity ( p < 0.001), greater sleep disturbance ( p < 0.005), and were more likely to have a family history of BP ( p < 0.001). Cyclothymic disorder was associated with a younger age of onset compared to depression ( p < 0.001) and bipolar II ( p = 0.05). Parental BP status was not significantly associated with any variables. Results support that cyclothymic disorder belongs on the bipolar spectrum. Epidemiological studies indicate that cyclothymic disorder is not uncommon and involves significant impairment. Failing to differentiate between cyclothymic disorder and bipolar NOS limits our knowledge about a significant proportion of cases of bipolarity. [ABSTRACT FROM AUTHOR]

Abstract: Cyclothymic disorder is a subtype of bipolar disorder included in the Diagnostic and Statistical Manual of Mental Disorders since 1980, but largely neglected in research. Additionally, it is rarely diagnosed clinically, in spite of evidence that it may be the most prevalent form of bipolar disorder. Neglect has contributed to confusion about the diagnosis and clinical presentation of cyclothymic disorder. Its status as a mood disorder is also ambiguous due to overlap in terminology and symptoms with temperament and personality disorders. Subthreshold bipolar disorder appears more prevalent among young people than previously thought, and follows a range of trajectories from remission to escalation—raising questions about risk factors and traits associated with the varied course. Cyclothymic disorder may be an important diathesis for major mood disorders. Constructs such as cyclothymic disorder link major mood disorder and peri-clinical fluctuations of mood, thus warranting a prominent role in dimensional models of mood and psychopathology. Current evidence indicates that cyclothymic disorder is a prevalent and highly impairing disorder on the bipolar spectrum, with the potential to make unique contributions to our understanding of the risk factors and outcomes associated with bipolar disorder. The inclusion of cyclothymic disorder in future research studies is essential to accurate diagnosis and effective treatment for the full spectrum of bipolar disorder, as well as understanding the developmental trajectory of bipolar spectrum disorders. [Copyright &y& Elsevier]

Abstract: Background: Four subtypes of bipolar disorder (BP) – bipolar I, bipolar II, cyclothymia and bipolar not otherwise specified (NOS) – are defined in DSM-IV-TR. Though the diagnostic criteria for each subtype are intended for both adults and children, research investigators and clinicians often stray from the DSM when diagnosing pediatric bipolar disorder (PBD) (), resulting in a lack of agreement and understanding regarding the PBD subtypes. Methods: The present study uses the diagnostic validation method first proposed by to systematically evaluate cyclothymic disorder as a distinct diagnostic subtype of BP. Using a youth (ages 5–17) outpatient clinical sample (n= 827), participants with cyclothymic disorder (n =52) were compared to participants with other BP spectrum disorders and to participants with non-bipolar disorders. Results: Results indicate that cyclothymic disorder shares many characteristics with other bipolar subtypes, supporting its inclusion on the bipolar spectrum. Additionally, cyclothymia could be reliably differentiated from non-mood disorders based on irritability, sleep disturbance, age of symptom onset, comorbid diagnoses, and family history. Limitations: There is little supporting research on cyclothymia in young people; these analyses may be considered exploratory. Gaps in this and other studies are highlighted as areas in need of additional research. Conclusions: Cyclothymic disorder has serious implications for those affected. Though it is rarely diagnosed currently, it can be reliably differentiated from other disorders in young people. Failing to accurately diagnose cyclothymia, and other subthreshold forms of bipolar disorder, contributes to a significant delay in appropriate treatment and may have serious prognostic implications. [Copyright &y& Elsevier]

Intensive residential treatment (IRT) for obsessive-compulsive disorder (OCD) includes frequent meetings with a cognitive–behavioral therapist. We examined whether this therapeutic working alliance relates to IRT outcomes. Data came from a naturalistic sample of patients with OCD (n = 124) who received IRT at a specialty OCD clinic. Patients completed measures of OCD severity and well-being at admission and discharge. Both the patient and treating psychologist completed the Working Alliance Inventory-Short Form (WAI-SF). Alliance ratings were tested as predictors in models predicting outcomes (discharge scores adjusting for baseline and treatment duration) as well as logistic regression predicting treatment response (≥35% symptom reduction in OCD symptoms). Patient and clinician ratings of the quality of the alliance were weakly yet significantly correlated. Patient ratings of the alliance predicted outcomes, while therapist ratings did not. Moreover, greater discrepancy between patient and client ratings predicted worse outcomes. Patient ratings of the task dimension of the alliance uniquely related to responder status. Patient perceptions of the working alliance, particularly as pertaining to agreement on therapeutic tasks, related to success with IRT for OCD. Further study is needed test interventions to improve task alliance as a strategy to enhance treatment. [ABSTRACT FROM AUTHOR]

Objective: Risk calculators (RC) to predict clinical outcomes are gaining interest. An RC to estimate risk of bipolar spectrum disorders (BPSD) could help reduce the duration of undiagnosed BPSD and improve outcomes. Our objective was to adapt an RC previously validated in the Pittsburgh Bipolar Offspring Study (BIOS) sample to achieve adequate predictive ability in both familial high-risk and clinical high-risk youths.Method: Participants (aged 6-12 years at baseline) from the Longitudinal Assessment of Manic Symptoms (LAMS) study (N = 473) were evaluated semi-annually. Evaluations included a Kiddie Schedule for Affective Disorders (K-SADS) interview. After testing an RC that closely approximated the original, we made modifications to improve model prediction. Models were trained in the BIOS data, which included biennial K-SADS assessments, and tested in LAMS. The final model was then trained in LAMS participants, including family history of BPSD as a predictor, and tested in the familial high-risk sample.Results: Over follow-up, 65 youths newly met criteria for BPSD. The original RC identified youths who developed BPSD only moderately well (area under the curve [AUC] = 0.67). Eliminating predictors other than the K-SADS screening items for mania and depression improved accuracy (AUC = 0.73) and generalizability. The model trained in LAMS, including family history as a predictor, performed well in the BIOS sample (AUC = 0.74).Conclusion: The clinical circumstances under which the assessment of symptoms occurs affects RC accuracy; focusing on symptoms related to the onset of BPSD improved generalizability. Validation of the RC under clinically realistic circumstances will be an important next step. [ABSTRACT FROM AUTHOR]

The article offers information on medical technology-based interventions for treatment of young people with bipolar disorder. It is evident that digital psychosocial interventions combining psychoeducation with instructional modules focused on basic cognitive and behavioral skills, obstacles to the successful design and implementation of digital interventions for adolescents and potential impact of technology to relieve the suffering of adolescents with mood disorders.

The article discusses the importance of psychological interventions in treating bipolar disorder (BD) alongside medication. It highlights various evidence-based psychological interventions such as psychoeducation, cognitive behavioral therapy (CBT), and family-focused therapy (FFT) that have shown positive outcomes in managing BD. The paper emphasizes the need for personalized treatment plans based on individual needs and stages of the disorder, as well as the challenges of accessing evidence-based psychological interventions globally due to factors like awareness, availability, and affordability. The authors recommend large-scale efforts to develop and implement psychological interventions for BD, optimize treatments based on treatment moderators, and work towards equitable access to these interventions worldwide. [Extracted from the article]

Objective: During the COVID-19 pandemic, the prevalence of depression and anxiety among children and adolescents significantly increased, along with the number of visits to emergency departments due to suicidality and/or suicide attempts. Relatedly, health care workers experienced significant burnout and symptoms of anxiety, depression, and posttraumatic stress disorder during this time. However, the corresponding impact on psychiatric inpatient treatment has not yet been researched. We hypothesized that during the pandemic, adolescents hospitalized in an acute care psychiatric inpatient unit had increased incidents of suicide attempts and nonsuicidal self-injurious behaviors and of aggressive behaviors toward others, resulting in greater use of constant observation and restraints. Method: This study was a retrospective chart review based on electronic medical record data examining use of restraints and constant observation one year before the pandemic (March 2019 to February 2020) and 1 year following the onset of the pandemic (March 2020 to February 2021) in an acute-care adolescent (12 to 17 years old) psychiatric inpatient unit. Results: There were 571 admissions during the year before the pandemic and 500 admissions during the pandemic. The number of patients who were restrained (χ2 = 7.86, p = 0.005), number of patients who were placed on constant observation (χ2 = 13.41, p < 0.001), and number of constant observation orders per patient (χ2 = 91.90, p < 0.001) were all significantly greater during the pandemic. Conclusion: Psychiatrically hospitalized adolescents during the pandemic received more intensive interventions such as restraints and constant observation. Severe patient psychopathology and staff shortages, as well as limitations of and decreases to the dialectical behavior therapy program, may have been the contributing factor. [ABSTRACT FROM AUTHOR]

Background: Late adolescence and early adulthood is a period of highest incidence for onset of mental health problems. Transition to college environment has been associated with many risk factors such as the initial disruption—and subsequent irregularity—of the student's sleep and activity schedule. We tested the feasibility of using blue blocking glasses (BBG) at night in first year higher education students with sleep complaints, to obtain preliminary evidence for the impact of BBG on sleep, activity, and mood. Methods: Participants were 13 first year undergraduates (from 10 different academic courses) living on campus for the first time with sleep complaints/disorders confirmed at screening via the Duke Structured Interview Schedule for Sleep Disorders. We used a 2-week, balanced crossover design (BBG vs placebo glasses; participants were unaware which was the active intervention) with computer-generated random allocation. Exploratory analyses provided descriptive and frequency summaries to evaluate feasibility of the intervention. Results: Preliminary evidence supports the feasibility and acceptability of the trial; almost all screened participants consented and completed the protocol with high adherence; missing data were negligible. Additionally, the effectiveness of BBGs to enhance sleep, mood, and activity levels in young adults was supported. Conclusions: The results of this feasibility trial suggest that BBG have potential as an inexpensive and feasible intervention for reducing sleep and circadian dysregulation in young adult students. A larger trial, following this successfully implemented protocol, is necessary to fully test the efficacy of BBG. [ABSTRACT FROM AUTHOR]

The aim of this study is to examine the familial aggregation of Attention-deficit/hyperactivity disorder (ADHD) and its cross-transmission with bipolar disorder (BD) in a community-based family study of mood spectrum disorders. A clinically-enriched community sample of 562 probands recruited from the greater Washington, DC metropolitan area and their 698 directly interviewed relatives were included in analyses. Inclusion criteria were English speaking and consent to contact at least two first-degree relatives. Standard family study methodology was used and DSM-IV classified mental disorders were ascertained through a best-estimate procedure based on direct semi-structured interviews and multiple family history reports. There was specificity of familial aggregation of both bipolar I disorder (BD I) and bipolar II disorder (BD II) (i.e., BD I OR = 6.08 [1.66, 22.3]; BD II OR = 2.98 [1.11, 7.96]) and ADHD (ADHD OR = 2.13 [1.16, 3.95]). However, there was no evidence for cross-transmission of BD and ADHD in first degree relatives (i.e., did not observe increased rates of BD in relatives of those with ADHD and vice versa; all p s > 0.05). The specificity of familial aggregation of ADHD and BD alongside the absence of shared familial risk are consistent with the notion that the comorbidity between ADHD and BD may be attributable to diagnostic artifact, could represent a distinct BD suptype characterized by childhood-onset symptoms, or the possibility that attention problems serve as a precursor or consequence of BD. [ABSTRACT FROM AUTHOR]

• The assignment of psychiatric patients to specific units and buildings within a hospital system may be one area in which structural racism and implicit bias present. • In a study of over 18,000 inpatients, black and Hispanic patients were less likely to be assigned to a newer building with better resources at a large psychiatric hospital in the Northeast even after controlling for clinical and demographic factors. • This translational study serves as a call to action for other health systems to investigate the hidden ways in structural racism impacts the experience of psychiatric inpatients. Racism is a social determinant of mental health which has a disproportionally negative impact on the experiences of psychiatric inpatients of color. Distinct differences in the physical space and clinical settings of two inpatient buildings at a hospital system in the tristate (New York, New Jersey, Connecticut) area of the United States led to the present investigation of racial inequities in the assignment of patients to specific buildings and units. Archival electronic medical record data were analyzed from over 18,000 unique patients over a period of six years. Hierarchical logistic regression analyses were conducted with assigned building (old vs. new building) as the binary outcome variable. Non-Hispanic White patients were set as the reference group. Black, Hispanic/Latinx, and Asian patients were significantly less likely to be assigned to better resourced units in the new building. When limiting the analysis to only general adult units, Black and Hispanic/Latinx patients were significantly less likely to be assigned to units in the new building. These results suggest ethnoracial inequities in patient assignment to buildings which differed in clinical and physical conditions. The findings serve as a call to action for hospital systems to examine the ways in which structural racism impact clinical care. [ABSTRACT FROM AUTHOR]

Objectives Over the past two decades, there has been tremendous growth in research regarding bipolar disorder ( BD) among children and adolescents (ie, pediatric BD [ PBD]). The primary purpose of this article is to distill the extant literature, dispel myths or exaggerated assertions in the field, and disseminate clinically relevant findings. Methods An international group of experts completed a selective review of the literature, emphasizing areas of consensus, identifying limitations and gaps in the literature, and highlighting future directions to mitigate these gaps. Results Substantial, and increasingly international, research has accumulated regarding the phenomenology, differential diagnosis, course, treatment, and neurobiology of PBD. Prior division around the role of irritability and of screening tools in diagnosis has largely abated. Gold-standard pharmacologic trials inform treatment of manic/mixed episodes, whereas fewer data address bipolar depression and maintenance/continuation treatment. Adjunctive psychosocial treatment provides a forum for psychoeducation and targets primarily depressive symptoms. Numerous neurocognitive and neuroimaging studies, and increasing peripheral biomarker studies, largely converge with prior findings from adults with BD. Conclusions As data have accumulated and controversy has dissipated, the field has moved past existential questions about PBD toward defining and pursuing pressing clinical and scientific priorities that remain. The overall body of evidence supports the position that perceptions about marked international (US vs elsewhere) and developmental (pediatric vs adult) differences have been overstated, although additional research on these topics is warranted. Traction toward improved outcomes will be supported by continued emphasis on pathophysiology and novel therapeutics. [ABSTRACT FROM AUTHOR]

Generative artificial intelligence (genAI) has potential to improve healthcare by reducing clinician burden and expanding services, among other uses. There is a significant gap between the need for mental health care and available clinicians in the United States-this makes it an attractive target for improved efficiency through genAI. Among the most sensitive mental health topics is suicide, and demand for crisis intervention has grown in recent years. We aimed to evaluate the quality of genAI tool responses to suicide-related queries. We entered 10 suicide-related queries into five genAI tools-ChatGPT 3.5, GPT-4, a version of GPT-4 safe for protected health information, Gemini, and Bing Copilot. The response to each query was coded on seven metrics including presence of a suicide hotline number, content related to evidence-based suicide interventions, supportive content, harmful content. Pooling across tools, most of the responses (79%) were supportive. Only 24% of responses included a crisis hotline number and only 4% included content consistent with evidence-based suicide prevention interventions. Harmful content was rare (5%); all such instances were delivered by Bing Copilot. Our results suggest that genAI developers have taken a very conservative approach to suicide-related content and constrained their models' responses to suggest support-seeking, but little else. Finding balance between providing much needed evidence-based mental health information without introducing excessive risk is within the capabilities of genAI developers. At this nascent stage of integrating genAI tools into healthcare systems, ensuring mental health parity should be the goal of genAI developers and healthcare organizations., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2025 Van Meter et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Researchers in ubiquitous computing have long promised that passive sensing will revolutionize mental health measurement by detecting individuals in a population experiencing a mental health disorder or specific symptoms. Recent work suggests that detection tools do not generalize well when trained and tested in more heterogeneous samples. In this work, we contribute a narrative review and findings from two studies with 41 mental health clinicians to understand these generalization challenges. Our findings motivate research on actionable sensing, as an alternative to detection research, studying how passive sensing can augment traditional mental health measures to support actions in clinical care. Specifically, we identify how passive sensing can support clinical actions by revealing patients' presenting problems for treatment and identifying targets for behavior change and symptom reduction, but passive data requires additional contextual information to be appropriately interpreted and used in care. We conclude by suggesting research at the intersection of actionable sensing and mental healthcare, to align technical research in ubiquitous computing with clinical actions and needs.

The course of childhood-onset attention deficit hyperactivity disorder (ADHD) varies across individuals; some will experience persistent symptoms while others' symptoms fluctuate or remit. We describe the longitudinal course of ADHD symptoms and associated clinical characteristics in adolescents with childhood-onset ADHD. Participants (aged 6-12 at baseline) from the Longitudinal Assessment of Manic Symptoms (LAMS) study who met DSM criteria for ADHD prior to age 12 were evaluated annually with the Kiddie Schedule for Affective Disorders and Schizophrenia for eight years. At each timepoint, participants were categorized as meeting ADHD criteria, subthreshold criteria, or not having ADHD. Stability of course was defined by whether participants experienced consistent ADHD symptoms, fluctuating symptoms, or remission. The persistence of the symptoms was defined by symptom status at the final two follow-ups (stable ADHD, stable remission, stable partial remission, unstable). Of 685 baseline participants, 431 had childhood-onset ADHD and at least two follow-ups. Half had a consistent course of ADHD, nearly 40% had a remitting course, and the remaining participants had a fluctuating course. More than half of participants met criteria for ADHD at the end of their participation; about 30% demonstrated stable full remission, 15% had unstable symptoms, and one had stable partial remission. Participants with a persistent course and stable ADHD outcome reported the highest number of symptoms and were most impaired. This work builds on earlier studies that describe fluctuating symptoms in young people with childhood-onset ADHD. Results emphasize the importance of ongoing monitoring and detailed assessment of factors likely to influence course and outcome to help young people with childhood-onset ADHD., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

Objective: Patients' race and age have each been identified as risk factors for experiencing restraint events during psychiatric hospitalization. Restraint duration is also an important variable in determining disparities in treatment. To the authors' knowledge, no studies to date have examined the effect of the interaction of race and age on restraint use and duration in inpatient psychiatric settings. This retrospective chart review of electronic medical records of patients admitted between 2012 and 2019 sought to examine whether race and age interacted in predicting differences in the use and duration of restraints in a psychiatric inpatient setting., Methods: Logistic and hierarchical regression analyses were conducted on data from a sample of 29,739 adolescent (ages 12-17 years) and adult (ages ≥18 years) inpatients to determine whether the interaction of race and age group (adolescent or adult) significantly predicted a restraint event or differences in restraint duration., Results: Black (adjusted OR [AOR]=1.85) and multiracial (AOR=1.36) patients were more likely to experience a restraint event than were their White peers. Black race was also significantly (p=0.001) associated with longer restraint duration. No significant interaction was detected between race and age in predicting restraint events or duration., Conclusions: Although the interaction between race and age did not predict restraint events or duration, the findings indicate racial disparities in the frequency and duration of restraint events among Black and multiracial individuals and may inform efforts to reduce these events., Competing Interests: Dr. Hanna reports owning stocks in Doximity. Dr. Tang reports owning equity in North Shore Therapeutics and Psyrin, serving as a consultant for North Shore Therapeutics and Winterlight Labs, serving on the advisory board of Psyrin, and receiving research funding from Winterlight Labs. Dr. Kane reports serving as a consultant to or receiving honoraria from Alkermes, Allergan, Boehringer-Ingelheim, Cerevel Therapeutics, Dainippon Sumitomo, H. Lundbeck, HealthRhythms, HLS Therapeutics, Indivior, Intracellular Therapies, Janssen Pharmaceutical, Johnson & Johnson, LB Pharmaceuticals, Merck, Minerva, Neurocrine Biosciences, Newron Pharmaceuticals, Novartis, NW PharmaTech, Otsuka, Roche, Saladax Biomedical, Sunovion, and Teva; serving on advisory boards for Cerevel, Click Therapeutics, H. Lundbeck, Merck, Newron, Novartis, Otsuka, Sumitomo, and Teva; receiving grant support from H. Lundbeck, Janssen, Otsuka, and Sunovion; holding shares in LB Pharmaceuticals, MedinCell, North Shore Therapeutics, Sage Therapeutics, and Vanguard Research Group; and receiving royalties from UpToDate. The other authors report no financial relationships with commercial interests.

Objective: Globally, rates of youth suicide vary considerably. Suicidal thoughts and behaviors (STB) are consistently associated with risk of death by suicide. However, international trends in STB have not yet been compared. To address this gap, an international meta-analysis of epidemiological and school-based studies that report on STB in youth was conducted., Method: Systematic searches were conducted in PubMed and PsycINFO through April 2022. Eligible studies included prevalence of active suicidal ideation (SI) or suicide attempts (SA) in community youth younger than age 22. All studies were coded by 2 authors. Mixed models accounting for shared methods and including hypothesized moderators were conducted using the metafor package in R., Results: There were 371 effect sizes for SI, 94 for SI with a plan, and 316 for SA, representing 149 regions. Year of data collection ranged from 1981 to 2021. Participants were 6 to 21 years old. The prevalence of SI ranged across regions from 14.3% to 22.6%; the prevalence of SA ranged from 4.6% to 15.8%. Year was not associated with increasing STB prevalence except for studies from the United States, which showed increasing rates of SI and SA since 2007., Conclusion: This is the most comprehensive meta-analysis of STB in youth, providing valuable data about how risk factors most commonly associated with suicide vary internationally and over time. International rates of STB among youth are not improving and may be getting worse in the United States, despite efforts to reduce suicide risk. Most studies did not report rates of SI or SA separately for LGBTQIA+ (lesbian, gay, bisexual, transgender, queer, intersex, asexual, and others) youth and youth of color. A better understanding of proximal risk at the individual level will be important to informing future prevention efforts, especially for high-risk groups., (Copyright © 2023. Published by Elsevier Inc.)

Emotion regulation and executive function are associated: adaptive regulatory strategies are linked to better executive functioning while maladaptive strategies correspond with worse executive functioning. However, if - and how - these two processes affect one another has not previously been explored; most studies have employed a correlational approach, leaving the direction of influence unknown. We aim to address this gap by using an experimental design to explore the impact of emotion regulation on executive functioning. Adult participants ( N =31) completed an executive functioning task (Computerized Task-Switching Test) under four induced emotion regulation conditions (1) neutral/baseline, (2) positive mood-maintain, (3) negative mood-maintain, (4) negative mood-reduce (conditions 2-4 were randomized). Relative to baseline, participants demonstrated better set-shifting performance across regulation conditions. In contrast, inhibitory control performance was slower, despite anticipated improvement due to practice effects. This suggests that inhibitory control may be more involved in the emotion regulation process than set-shifting when participants have a specific emotion regulation goal to achieve. The present study provides preliminary evidence that individuals' ability to perform executive function tasks may be affected by concurrent emotion regulation demands; additional experiments are necessary to further probe the complexity of the association between these two processes., Competing Interests: Disclosure of Interest The authors do not have potential conflicts of interest.

Background: Digital technology has the potential to transform psychiatry, but its adoption has been limited. The proliferation of telepsychiatry during the COVID-19 pandemic has increased the urgency of optimizing technology for clinical practice. Understanding clinician attitudes and preferences is crucial to effective implementation and patient benefit., Objective: Our objective was to elicit clinician perspectives on emerging digital technology., Methods: Clinicians in a large psychiatry department (inpatient and outpatient) were invited to complete a web-based survey about their attitudes toward digital technology in practice, focusing on implementation, clinical benefits, and expectations about patients' attitudes. The survey consisted of 23 questions that could be answered on either a 3-point or 5-point Likert scale. We report the frequencies and percentages of responses., Results: In total, 139 clinicians completed the survey-they represent a variety of years of experience, credentials, and diagnostic subspecialties (response rate 69.5%). Overall, 83.4% (n=116) of them stated that digital data could improve their practice, and 23.0% (n=32) of responders reported that they had viewed patients' profiles on social media. Among anticipated benefits, clinicians rated symptom self-tracking (n=101, 72.7%) as well as clinical intervention support (n=90, 64.7%) as most promising. Among anticipated challenges, clinicians mostly expressed concerns over greater time demand (n=123, 88.5%) and whether digital data would be actionable (n=107, 77%). Furthermore, 95.0% (n=132) of clinicians expected their patients to share digital data., Conclusions: Overall, clinicians reported a positive attitude toward the use of digital data to not only improve patient outcomes but also highlight significant barriers that implementation would need to overcome. Although clinicians' self-reported attitudes about digital technology may not necessarily translate into behavior, our results suggest that technologies that reduce clinician burden and are easily interpretable have the greatest likelihood of uptake., (©William Andrew Sterling, Michael Sobolev, Anna Van Meter, Daniel Guinart, Michael L Birnbaum, Jose M Rubio, John M Kane. Originally published in JMIR Formative Research (https://formative.jmir.org), 10.11.2022.)

Background: Bipolar disorder (BD) is associated with emotion interpretation biases that can exacerbate depressed mood. Interpretation bias training (IBT) may help; according to the "virtuous cycle" hypothesis, interpreting others' emotions as positive can lead to interactions that improve mood. Our goals were to determine whether IBT can shift emotion interpretation biases and demonstrate clinical benefits (lower depressed mood, improved social function) in people with BD., Method: Young adults with BD were recruited for three sessions of computer-based IBT. Active IBT targets negative emotion bias by training judgments of ambiguous face emotions towards happy judgments. Participants were randomized to active or sham IBT. Participants reported on mood and functioning at baseline, intervention end (week two), and week 10., Results: Fifty participants (average age 22, 72% female) enrolled, 38 completed the week 10 follow-up. IBT shifted emotion interpretations (Hedges g = 1.63). There was a group-by-time effect (B = -13.88, p < .0001) on self-reported depression; the IBT group had a larger decrease in depressed mood. The IBT group also had a larger increase in perceived familial support (B = 3.88, p < .0001). Baseline learning rate (i.e., how quickly emotion judgments were updated) was associated with reduced clinician- (B = -54.70, p < 0.001) and self-reported depression (B = -58.20, p = 0.009)., Conclusion: Our results converge with prior work demonstrating that IBT may reduce depressed mood. Additionally, our results provide support for role of operant conditioning in the treatment of depression. People with BD spend more time depressed than manic; IBT, an easily disseminated intervention, could augment traditional forms of treatment without significant expense or side effects., (Copyright © 2020. Published by Elsevier B.V.)

Background: Psychiatry is nearly entirely reliant on patient self-reporting, and there are few objective and reliable tests or sources of collateral information available to help diagnostic and assessment procedures. Technology offers opportunities to collect objective digital data to complement patient experience and facilitate more informed treatment decisions., Objective: We aimed to develop computational algorithms based on internet search activity designed to support diagnostic procedures and relapse identification in individuals with schizophrenia spectrum disorders., Methods: We extracted 32,733 time-stamped search queries across 42 participants with schizophrenia spectrum disorders and 74 healthy volunteers between the ages of 15 and 35 (mean 24.4 years, 44.0% male), and built machine-learning diagnostic and relapse classifiers utilizing the timing, frequency, and content of online search activity., Results: Classifiers predicted a diagnosis of schizophrenia spectrum disorders with an area under the curve value of 0.74 and predicted a psychotic relapse in individuals with schizophrenia spectrum disorders with an area under the curve of 0.71. Compared with healthy participants, those with schizophrenia spectrum disorders made fewer searches and their searches consisted of fewer words. Prior to a relapse hospitalization, participants with schizophrenia spectrum disorders were more likely to use words related to hearing, perception, and anger, and were less likely to use words related to health., Conclusions: Online search activity holds promise for gathering objective and easily accessed indicators of psychiatric symptoms. Utilizing search activity as collateral behavioral health information would represent a major advancement in efforts to capitalize on objective digital data to improve mental health monitoring., (©Michael Leo Birnbaum, Prathamesh "Param" Kulkarni, Anna Van Meter, Victor Chen, Asra F Rizvi, Elizabeth Arenare, Munmun De Choudhury, John M Kane. Originally published in JMIR Mental Health (http://mental.jmir.org), 01.09.2020.)

Background: Recent research has emphasized the need for accessing information about patients to augment mental health patients' verbal reports in clinical settings. Although it has not been introduced in clinical settings, computational linguistic analysis on social media has proved it can infer mental health attributes, implying a potential use as collateral information at the point of care. To realize this potential and make social media insights actionable to clinical decision making, the gaps between computational linguistic analysis on social media and the current work practices of mental health clinicians must be bridged., Objective: This study aimed to identify information derived from patients' social media data that can benefit clinicians and to develop a set of design implications, via a series of low-fidelity (lo-fi) prototypes, on how to deliver the information at the point of care., Methods: A team of clinical researchers and human-computer interaction (HCI) researchers conducted a long-term co-design activity for over 6 months. The needs-affordances analysis framework was used to refine the clinicians' potential needs, which can be supported by patients' social media data. On the basis of those identified needs, the HCI researchers iteratively created 3 different lo-fi prototypes. The prototypes were shared with both groups of researchers via a videoconferencing software for discussion and feedback. During the remote meetings, potential clinical utility, potential use of the different prototypes in a treatment setting, and areas of improvement were discussed., Results: Our first prototype was a card-type interface that supported treatment goal tracking. Each card included attribute levels: depression, anxiety, social activities, alcohol, and drug use. This version confirmed what types of information are helpful but revealed the need for a glanceable dashboard that highlights the trends of these information. As a result, we then developed the second prototype, an interface that shows the clinical state and trend. We found that focusing more on the changes since the last visit without visual representation can be more compatible with clinicians' work practices. In addition, the second phase of needs-affordances analysis identified 3 categories of information relevant to patients with schizophrenia: symptoms related to psychosis, symptoms related to mood and anxiety, and social functioning. Finally, we developed the third prototype, a clinical summary dashboard that showed changes from the last visit in plain texts and contrasting colors., Conclusions: This exploratory co-design research confirmed that mental health attributes inferred from patients' social media data can be useful for clinicians, although it also revealed a gap between computational social media analyses and clinicians' expectations and conceptualizations of patients' mental health states. In summary, the iterative co-design process crystallized design directions for the future interface, including how we can organize and provide symptom-related information in a way that minimizes the clinicians' workloads., (©Dong Whi Yoo, Michael L Birnbaum, Anna R Van Meter, Asra F Ali, Elizabeth Arenare, Gregory D Abowd, Munmun De Choudhury. Originally published in JMIR Mental Health (http://mental.jmir.org), 12.08.2020.)

Background: Research suggests that people with bipolar disorder (BD), like individuals with autism spectrum disorders or schizophrenia (among other forms of psychopathology), often have social cognition deficits that negatively impact relationships and quality of life. Studies of social cognition largely focus on face emotion recognition. However, relying solely on faces is not ecologically valid - other cues are available outside of a lab environment. If the ability to correctly interpret other emotion cues is intact, people with face emotion recognition deficits could learn to rely on other cues in order to make inferences about peoples' emotional states. This study explored whether both facial emotion and emotional body language (EBL) recognition are impaired in people with BD., Method: We measured the performance of individuals with BD relative to community controls on a computer-based emotion recognition task that isolated participants' ability to interpret emotions in faces, bodies without faces, and in bodies with faces., Results: Results indicated that the BD group was significantly less accurate on face emotion recognition (Cohen's d = -0.87, p = .023), and was more likely to misidentify neutral stimuli as sad (Cohen's d = -0.58, p = .030). Emotion identification accuracy was equivalent across groups when the body (not just face) was visible., Conclusion: People with BD experience deficits in face emotion recognition, and their emotional state may influence their interpretation of others' emotions. However, recognition of EBL seems largely intact in this population. Paying attention to EBL may help people with BD to compensate for face emotion processing deficits and improve social functioning., Competing Interests: Declaration of Competing Interest None., (Copyright © 2020 Elsevier B.V. All rights reserved.)