Driver's Licensure and Driving Outcomes Among Youths With Mood Disorders.

Importance: Mood disorders are prevalent among adolescents and young adults, and their onset often coincides with driving eligibility. The understanding of how mood disorders are associated with youth driving outcomes is limited. Objective: To examine the association between the presence of a mood disorder and rates of licensing, crashes, violations, and suspensions among adolescents and young adults. Design, Setting, and Participants: This cohort study was conducted among New Jersey residents who were born 1987 to 2000, age eligible to acquire a driver's license from 2004 to 2017, and patients of the Children's Hospital of Philadelphia network within 2 years of licensure eligibility at age 17 years. The presence of a current (ie, ≤2 years of driving eligibility) mood disorder was identified using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) or International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes. Rates of licensure and driving outcomes among youths who were licensed were compared among 1879 youths with and 84 294 youths without a current mood disorder from 2004 to 2017. Data were analyzed from June 2022 to July 2023. Main Outcomes and Measures: Acquisition of a driver's license and first involvement as a driver in a police-reported crash and rates of other adverse driving outcomes were assessed. Survival analysis was used to estimate adjusted hazard ratios (aHRs) for licensing and driving outcomes. Adjusted rate ratios (aRRs) were estimated for driving outcomes 12 and 48 months after licensure. Results: Among 86 173 youths (median [IQR] age at the end of the study, 22.8 [19.7-26.5] years; 42 894 female [49.8%]), there were 1879 youths with and 84 294 youths without a mood disorder. A greater proportion of youths with mood disorders were female (1226 female [65.2%]) compared with those without mood disorders (41 668 female [49.4%]). At 48 months after licensure eligibility, 75.5% (95% CI, 73.3%-77.7%) and 83.8% (95% CI, 83.5%-84.1%) of youths with and without mood disorders, respectively, had acquired a license. Youths with mood disorders were 30% less likely to acquire a license than those without a mood disorder (aHR, 0.70 [95% CI, 0.66-0.74]). Licensed youths with mood disorders had higher overall crash rates than those without mood disorders over the first 48 months of driving (137.8 vs 104.8 crashes per 10 000 driver-months; aRR, 1.19 [95% CI, 1.08-1.31]); licensed youths with mood disorders also had higher rates of moving violations (aRR, 1.25 [95% CI, 1.13-1.38]) and license suspensions (aRR, 1.95 [95% CI, 1.53-2.49]). Conclusions and Relevance: This study found that youths with mood disorders were less likely to be licensed and had higher rates of adverse driving outcomes than youths without mood disorders. These findings suggest that opportunities may exist to enhance driving mobility in this population and elucidate the mechanisms by which mood disorders are associated with crash risk.

[A clinical case of the new-onset bipolar affective disorder in the postcovid period]. / Klinicheskii sluchai vpervye voznikshego v postkovidnyi period bipolyarnogo affektivnogo rasstroistva.

A large number of people who have had COVID-19 have developed mental symptoms and mood disorders. Anxiety and depression prevail among affective pathology. Evidence is accumulating that the Sars-CoV-2 virus can induce mania or hypomania in people with no personal psychopathological history. Some clinical, anamnestic and paraclinical patterns of new-onset mania and hypomania have been found. In cases of severe manic symptoms, it is possible to quickly assume the occurrence of bipolar affective disorder. The predominance of depressive and anxiety syndromes in the long-term disease and the presence of vivid vegetative symptoms can mask brief and syndromally incomplete episodes of hypomania, which distorts the understanding of the disease as a bipolar disorder. This article presents such a clinical case of the occurrence of bipolar affective disorder in a patient who had COVID-19 with an asymptomatic course. Approaches to rational diagnosis and treatment are discussed.

Neurocognitive correlates of metabolic dysregulation in individuals with mood disorders: a systematic review and meta-analysis.

Individuals with mood disorders are predisposed to metabolic dysfunction, while those with metabolic dysregulation such as diabetes and obesity experience more severe depressive symptoms. Both metabolic dysfunction and mood disorders are independently associated with cognitive deficits. Therefore, given their close association, this study aimed to explore the association between metabolic dysfunction in individuals with mood disorders in relation to cognitive outcomes. A comprehensive search comprised of these three domains was carried out; a random-effects meta-analysis pooling mean cognitive outcomes was conducted (PROSPERO ID: CRD42022295765). Sixty-three studies were included in this review; 26 were synthesized in a quantitative meta-analysis. Comorbid metabolic dysregulation was associated with significantly lower global cognition among individuals with mood disorders. These trends were significant within each mood disorder subgroup, including major depressive disorder, bipolar disorder, and self-report depression/depressive symptoms. Type 2 diabetes was associated with the lowest cognitive performance in individuals with mood disorders, followed by peripheral insulin resistance, body mass index ⩾25 kg/m2, and metabolic syndrome. Significant reduction in scores was also observed among individual cognitive domains (in descending order) of working memory, attention, executive function, processing speed, verbal memory, and visual memory. These findings demonstrate the detrimental effects of comorbid metabolic dysfunction in individuals with mood disorders. Further research is required to understand the underlying mechanisms connecting mood disorders, metabolism, and cognition.

Sleep and Mood Disorders Among Youth.

This article reviews the literature on mood disorders and sleep disorders among children and adolescents. Research suggests that sleep plays an important role in the development, progression, and maintenance of mood disorder symptoms among children and adolescents. Sleep problems as early as maternal perinatal insomnia may predict and predate depression among youth. Children and adolescents who develop comorbid mood disorders and sleep problems represent a particularly high-risk group with more severe mood episode symptoms, higher rates of self-harm and suicidality, and less responsivity to treatment. Treatment research supports the idea that sleep problems can be improved through behavioral interventions.

Bariatric surgery efficacy in patients with mood disorders.

BACKGROUND: Mood disorders are comorbid in patients with obesity and found in approximately 22.0% to 54.8% of patients who are eligible for bariatric surgery. Given the unclear effect of mood disorders on bariatric surgery outcomes, we aimed this study to assess the impact of mood disorders index bariatric surgery weight loss outcomes. METHODS: A retrospective study institutional database of index bariatric surgery patients at University Hospitals Cleveland Medical Center between 2016 and 2018. The primary outcome of body mass index was followed over a 4-year period. The secondary outcomes measured were mortality and suicide rates. Mood disorders defined by the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, included depressive and bipolar disorders obtained from electronic medical records International Classification of Diseases, Tenth Revision, coding. RESULTS: A total of 790 patients underwent bariatric surgery between 2016 and 2018. Of these, 15 patients were excluded due to death in the postoperative period or insufficient weight loss data, and a total of 775 patients (620 women and 155 men) were included. Two hundred and ninety-five (38.1%) had an electronic medical record mood disorder diagnosis before surgery, while 480 (61.9%) did not. Both groups had a significant decrease in postoperative body mass index; however, there was no significant difference in the body mass index change between the mood disorder group (mean = 37.63, standard deviation = 9.88) and the control group (mean = 38.72, standard deviation = 9.54; t[294] = 1.40; P = .1634). CONCLUSION: Patients with mood disorders are as successful with weight loss after index bariatric surgery as those without mood disorders. There was no significant difference in mortality rates between the mood disorder group and the control group. Hence, mood disorders should not be prohibitive for weight loss surgery.

An expert opinion on the pharmacological interventions for Disruptive Mood Dysregulation Disorder (DMDD).

INTRODUCTION: Disruptive Mood Dysregulation Disorder (DMDD) was officially introduced as a new diagnostic entity in the Diagnostic and Statistical Manual of Mental Disorder, Fifth Edition (DSM-5), under the category of depressive disorders. AREAS COVERED: A comprehensive overview and a critical commentary on the currently investigated psychopharmacological approaches for the treatment of DMDD have been here provided. EXPERT OPINION: Behavioral and psychosocial interventions should be considered as first-line treatment strategies. When ineffective or partially effective, psychopharmacological strategy is recommended. Overall, pharmacological strategy should be preferred in those individuals with psychiatric comorbidities (e.g. ADHD). Indeed, so far published studies on pharmacological strategies in DMDD are scant and heterogeneous (i.e. age, assessment tools, symptomatology profile, comorbidity, and so forth). Therefore, DMDD psychopharmacological guidelines are needed, particularly to guide clinicians toward the patient's typical symptom profile who could benefit from psychopharmacological strategy.

Cognitive behavioural therapy for insomnia as an early intervention of mood disorders with comorbid insomnia: A randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness of small-group nurse-administered cognitive behavioural therapy for insomnia (CBTI) as an early intervention of mood disorders with comorbid insomnia. METHODS: A total of 200 patients with first-episode depressive or bipolar disorders and comorbid insomnia were randomized in a ratio of 1:1 to receiving 4-session CBTI or not in a routine psychiatric care setting. Primary outcome was Insomnia Severity Index. Secondary outcomes included response and remission status; daytime symptomatology and quality of life; medication burden; sleep-related cognitions and behaviours; and the credibility, satisfaction, adherence and adverse events of CBTI. Assessments were conducted at baseline, 3, 6, and 12-month. RESULTS: Only a significant time-effect but no group-by-time interaction was found in the primary outcome. Several secondary outcomes had significantly greater improvements in CBTI group, including higher depression remission at 12-month (59.7% vs. 37.9%, χ2 = 6.57, p = .01), lower anxiolytic use at 3-month (18.1% vs. 33.3%, χ2 = 4.72, p = .03) and 12-month (12.5% vs. 25.8%, χ2 = 3.26, p = .047), and lesser sleep-related dysfunctional cognitions at 3 and 6-month (mixed-effects model, F = 5.12, p = .001 and .03, respectively). Depression remission rate was 28.6%, 40.3%, and 59.7% at 3, 6, and 12-month, respectively in CBTI group and 28.4%, 31.1%, and 37.9%, respectively in no CBTI group. CONCLUSION: CBTI may be a useful early intervention to enhance depression remission and reduce medication burden in patients with first-episode depressive disorder and comorbid insomnia.

Association of Four Medication Classes and Non-suicidal Self-injury in Adolescents with Affective Disorders - A Retrospective Chart Review.

BACKGROUND: Non-suicidal self-injury (NSSI) behaviour is frequently observed in children and adolescents with psychiatric conditions. Affected individuals are regularly treated with psychotropic drugs, although the impact of these agents on NSSI behaviour remains elusive. METHODS: We performed a retrospective chart review from clinical routine data in a large cohort (N=1140) of adolescent inpatients with primary affective and non-affective psychiatric disorders according to ICD-10 (mean age=15.3±1.3 years; 72.6% female). Four separate mixed regression models compared the frequency of NSSI between treatment periods without any medication and four medication categories (benzodiazepines, selective serotonin reuptake inhibitors (SSRIs), high- and low-potency antipsychotics). RESULTS: In those individuals with affective disorders as the primary diagnosis, periods without medication were associated with significantly lower NSSI/day compared to all four other medication conditions (benzodiazepines p<10-8, antidepressants/SSRIs p=0.0004, high-potency antipsychotics p=0.0009, low-potency antipsychotics p<10 -4). In individuals with a primary diagnosis other than an affective disorder, NSSI was significantly lower during the period without medication compared to the treatment periods with benzodiazepines (p=0.005) and antidepressants/SSRIs (p=0.01). However, NSSI rates in the no-medication condition were comparable to NSSI rates under high-potency (p=0.89) and low-potency antipsychotics (p=0.53). CONCLUSIONS: The occurrence of NSSI correlates with the treatment with a psychotropic drug in children and adolescents with psychiatric disorders. Due to the retrospective design, it remains elusive to what extent psychotropic drugs might alter the frequency of NSSI in adolescents or if NSSI might indicate a transdiagnostic feature of more pronounced disease severity.

Social determinants of anxiety and mood disorders in a nationally-representative sample - Results from the Saudi National Mental Health Survey (SNMHS).

INTRODUCTION: Social determinants of health (SDH) influence and modify the risk for mental health disorders. To our knowledge, no study has explored SDH in the context of mental health in Saudi Arabia (SA) using population-based data. This study investigated the association between several SDH and anxiety and mood disorders in SA. METHODS: We utilized data from the nationally-representative Saudi National Mental Health Survey (SNMHS) conducted in 2014 to 2016. This study examined associations between personal-level, socioeconomic, physical health, and family environment characteristics and anxiety and mood disorders. Participants were classified as having anxiety-only disorders, mood-only disorders, or comorbidity of both disorders. Multinomial logistic regression models were employed to examine the associations between SDH and anxiety and/or mood disorders, comparing them to participants who had not experienced these disorders. RESULTS: A total of 4,004 participants were included in this analysis; the lifetime prevalence of disorders was: anxiety only (18%), mood only (3.8%), and comorbidity of both (5.3%). Regression models indicated that females, young adults (26-35 years), individuals with a higher level of education, and those who were separated or widowed had higher odds of experiencing anxiety and/or mood disorders. Furthermore, there was a significant and direct association between having physical chronic conditions and all three categories of anxiety and mood disorders. Experiencing Adverse Childhood Events (ACEs) was also associated with a significant risk of developing anxiety and/or mood disorders, with the highest risk associated with physical or sexual abuse, followed by violence and neglect. CONCLUSION: This study underscores the correlation between several personal-level, socioeconomic, and environmental SDH and anxiety and mood disorders in SA. These findings provide a foundation for future analyses examining the intricate interplay between upstream and downstream SDH in SA. Such research can enhance local scientific knowledge, aid in planning for social services, and inform policy decisions and treatment strategies.

Differential Effects of Disruptive Mood Dysregulation Disorder Comorbidity in Attention Deficit Hyperactivity Disorder on Social Cognition and Empathy.

OBJECTIVE: This study aimed to investigate social cognition and empathy properties in children among Disruptive Mood Dysregulation Disorder (DMDD) + Attention and Hyperactivity Disorder(ADHD); ADHD and healthy controls from Türkiye. METHODS: Twenty-two children with DMDD were compared to matched 30 children with ADHD and 60 healthy controls. We administered Affective Reactivity Index (ARI), KaSi Empathy Scale, Kiddie-SADS, and Reading Mind in the Eyes Test (RMET) to evaluate Theory of Mind skills to all study participants. RESULTS: DMDD + ADHD group had lower performance in ToM skills and empathy than in two groups. The ARI scores were found to be statistically significantly higher in the DMDD group than in two groups. It was also found that ARI, empathy, and ToM scores were significantly related in children with DMDD + ADHD. CONCLUSION: These results might be important to understand the difficulties in social functioning and interpersonal relationship in children with DMDD and ADHD. Children with DMDD may attend specific therapeutic programs which include specific techniques in social cognition, emotion regulation, and irritability.

Exploring seasonality in catatonia diagnosis: Evidence from a large-scale population study.

Catatonia is a severe psychomotor syndrome mainly associated with psychiatric disorders, such as mood disorders and schizophrenia. Seasonal patterns have been described for these psychiatric disorders, and a previous study conducted in South London showed for the first time a seasonal pattern in the onset of catatonia. In this study, we aim to extend those findings to a larger national sample of patients admitted to French metropolitan hospitals, between 2015 and 2022, and to perform subgroup analyses by the main associated psychiatric disorder. A total of 6225 patients diagnosed with catatonia were included. A seasonal pattern for catatonia diagnosis was described, using cosinor models. Two peaks of diagnoses for catatonic cases were described in March and around September-October. Depending on the associated psychiatric disorder, the seasonality of catatonia diagnosis differed. In patients suffering with mood disorders, peaks of catatonia diagnosis were found in March and July. For patients suffering with schizophrenia, no seasonal pattern was found.

Evaluation of bidirectional relationships between risk preference and mood disorders: A 2-sample Mendelian randomization study.

BACKGROUND: Risk preference is often defined as the tendency to engage in risky activities. Increasing evidence shows that risk preference is associated with mood disorders. However, the causality and direction of this association are not clear. METHODS: Genome-wide association study summary data of risk preference in 939,908 participants from UK Biobank and 23andMe were used to identify general risk preference. Data for 413,466 individuals taken from The Psychiatric Genomics Consortium were used to identify bipolar disorder (BP). Data for 807,553 individuals taken from The Psychiatric Genomics Consortium were used to identify major depressive disorder (MDD). The weighted median, inverse-variance weighting, and Mendelian randomization-Egger methods were used for the Mendelian randomization analysis to estimate a causal effect and detect directional pleiotropy. RESULTS: GWAS summary data were obtained from three combined samples, containing 939,908, 413,466 and 807,553 individuals of European ancestry. Mendelian randomization evidence suggested that risk preference increased the onset of BP, and BP also increased risk preference (P < 0.001). In contrast, there were no reliable results to describe the relationship of risk preference with MDD (P > 0.05). Furthermore, there was no significant relationship between MDD and risk preference. CONCLUSION: Using large-scale GWAS data, robust evidence supports a mutual relationship between risk preference and BP, but no relationship between risk preference and MDD was observed. This study indicates a potential marker for the early identification of MDD and BP. Additionally, it shows that reducing risk preferences for patients with BP may be a valuable intervention for treating BP.

Anxiety and mood disorders in forcibly displaced people across the world.

PURPOSE OF REVIEW: Displaced persons around the world have intensified in the previous decade and are predicted to rise further with greater global instability. The mental health issues involved with fleeing one's home, and attempting to make a new life in a host country need to be understood and addressed. RECENT FINDINGS: Prevalence of anxiety and mood disorders, including posttraumatic stress disorder appear to be higher for displaced peoples than for the population in the host country. This is consistent across different methods. Traumatic life events in the country of origin as well as during flight contribute to symptom severity. Factors in the host country increasing severity including isolation, discrimination, low social support. There are successfully implemented intercultural interventions at the individual level of the practitioner, as well as at the institutional level. SUMMARY: There are many possibilities for successful interventions in displaced people, realizing this at a scale appropriate to the size of the problem remains a challenge.

Insomnia and the incidence, recurrence and persistence of common mental disorders: Sex-differences in the general population.

Insomnia is common throughout the population and thought to be a risk factor for mental disorders. We assessed the association of insomnia symptoms with incidence, recurrence and persistence of mood, anxiety and substance use disorders. In 4007 participants (55 % women, mean age 51.0 ± 12.3) of the population-based Netherlands Mental Health Survey and Incidence Study (NEMESIS), having insomnia symptoms increased the odds of developing, recurring and persisting mood disorders, mostly in men. Insomnia only associated with recurring anxiety disorders, particularly in women, and not with substance use disorders. Treating insomnia may aid recovery and prevention of mental disorders, particularly mood disorders.

Patterns of mental health services and mood disorder disability pensions: a standard comparison of Finland's three largest hospital districts.

INTRODUCTION: Mental disorders are one of the most common and disabling health conditions worldwide. There is however no consensus on the best practice of system level mental health services (MHS) provision, in order to prevent e.g. mood disorder disability pensions (DPs). We analyzed the MHS provision between Finland's three largest hospital districts Helsinki and Uusimaa (HUS), Southwest Finland and Pirkanmaa, with known differences in mood disorder DP risk but presumably equal rates of mood disorder prevalence. METHODS: We used public MHS data analyzed with the standardized DEscription and Evaluation of Services and DirectoriEs for Long Term Care (DESDE-LTC) mapping tool, focusing on all MHS, outpatient care provision, local services without and with gatekeeping, and centralized services. We also collected demographic data based on the European Socio-Demographic Schedule (ESDS). As a novel approach, the Gini-Simpson Diversity Index (GSDI) was calculated for the districts. RESULTS: Evident differences were observed regarding the districts' MHS factors. As the hospital district with lower DP risk, HUS was characterized by the highest level of regional socioeconomic prosperity as well as high service richness and diversity. With a nationally average DP risk, Southwest Finland had the highest number of MHS personnel in full-time equivalents (FTE) per 100 000 inhabitants. Pirkanmaa, with a higher DP risk, had overall the lowest service richness and the lowest FTE of the three districts in all MHS, outpatient care and local services with gatekeeping. CONCLUSIONS: Our findings indicate that greater richness and diversity of MHS, especially in outpatient and community-based settings, may serve as indicators of a balanced, high-quality service system that is more effective in preventing mood disorder DP and meeting the different needs of the population. In addition, the need for sufficient resourcing in all MHS and outpatient services is indicated. We suggest using diversity indices to complement the measuring and reporting of regional service variation.

The association of stroke with mental and physical disorders in US adults: A nationally representative study.

Stroke has been linked to various physical and mental disorders, with both stroke and its comorbidities significantly impacting public health. In this population-based study, we evaluate the relationships between stroke, physical conditions, mental disorders, and their effect on quality of life. Data were gathered from a nationally representative sample of 36,309 civilian participants aged 18 years and older in the National Epidemiologic Survey on Alcohol and Related Conditions-III. We examined the prevalence of past-year stroke, its sociodemographic characteristics, and its associations with past-year mental disorders (according to the DSM-5) and physical conditions. Furthermore, we explored the connections between stroke and health-related quality of life, accounting for comorbidities. The past 12-month stroke prevalence was estimated at 0.82%. Participants with stroke exhibited a significantly higher past 12-month mental disorder prevalence than those without stroke. Specifically, individuals with stroke faced a higher risk of mood disorders, anxiety disorders, tobacco use disorder, and opioid use disorder compared to those without stroke. Stroke was also positively associated with 24 out of the 27 physical conditions assessed in this study. Participants with stroke experienced lower mental and physical quality of life compared to those without stroke. Stroke was significantly related to numerous mental and physical disorders. The association of stroke with diminished health-related quality of life was not only mediated by these comorbidities but should also be considered as inherently linked to stroke itself.

Developmental Trajectory of Body Weight in Youths at Risk for Major Mood Disorders.

Importance: Mood disorders are associated with increased body weight, especially in females, but it remains unknown when the weight increase starts. Objectives: To examine sex-specific weight trajectories associated with familial mood disorder risk and determine the age at which youth at familial risk for mood disorders begin to diverge in weight from controls. Design, Setting, and Participants: This community-based, single-center, acceleration cohort study of youth at familial risk for mood disorders and controls with yearly follow-ups (mean [SD], 5 [2.1] years) from January 1, 2014, to December 31, 2022, assessed 394 unaffected female and male offspring (aged 3 to 20 years) of parents with or without a mood disorder. Parents with mood (depressive or bipolar) disorders were recruited through adult mental health services. Parents of control participants were matched on age and socioeconomic factors and recruited through acquaintance referrals or schools. Exposures: The youth in the familial mood risk group had at least 1 parent with a major mood disorder, whereas control youth did not have a parent with a mood disorder. Main Outcomes and Measures: Body mass indexes (BMIs) were calculated as weight in kilograms divided by height in meters squared from measured weight and height at annual assessments and then converted to age- and sex-adjusted z scores (zBMIs). Repeated-measure regressions examined the association between zBMI and age in youth at familial risk of mood disorders and controls while accounting for sex. Sensitivity analyses accounted for socioeconomic status, prematurity, and birth weight. Results: Of 394 participants (mean [SD] age, 11.5 [3.6] years; 203 [51.5%] female), youths at familial risk for mood disorders showed overall no difference in body weight (ß = 0.12; 95% CI, 0.01-0.24) from controls. A sex-specific difference was detected, with females at familial risk showing a rapid peripubertal increase in body weight, leading to significantly increased zBMIs at 12 years and older compared with controls (ß = 0.57; 95% CI, 0.31-0.82) independent of socioeconomic status, prematurity, or birth weight. Males did not differ from controls at any age. Conclusions and Relevance: In this cohort study, females with a family history of mood disorders were prone to weight gain starting around puberty and predating mood disorder onset. Early interventions aiming to prevent adverse mental and physical outcomes in this vulnerable group need to start in childhood.

Characteristic Similarities of Irritability Between Autism and Disruptive Mood Dysregulation Disorder.

Objective: Irritability in children with autism spectrum disorder (ASD) is prominent and often leads to distress to both autistic children and their families. However, the nature of irritability in autism and the difference from nonautistic children have rarely been examined. This study aimed to investigate the clinical characteristics of irritability in autism, and to compare the symptom profiles with those of disruptive mood dysregulation disorder (DMDD) in nonautistic children. Methods: Fifty-six children aged 7-17 years (mean age 10.36 ± 3.05) were recruited into this study (21 with DMDD, 21 with high-functioning autism [hfASD], and 14 healthy volunteers [HV]). Their parents completed the Aberrant Behavior Checklist-Irritability (ABC-I) subscale and the Strengths and Difficulties Questionnaire (SDQ) parent report form. The ABC-I subscale was analyzed as a whole and broken into subsets (ABC-I-Irritability, ABC-I-Agitation, and ABC-I-Crying). The symptom profiles of irritability and the association with psychosocial difficulties were compared between groups. Results: The ABC-I-Irritability scores of children with hfASD closely matched to those of children with DMDD. In addition, both DMDD and hfASD groups could be differentiated from HV group in five of the six items except "depressed mood." However, in the ABC-I-Agitation scale, children with DMDD, but not hfASD, had higher scores in "Aggressive to other patients and staff" and "Stamps feet while banging objects or slamming doors" than HV. Regarding psychosocial outcomes, irritability in children with DMDD and hfASD were associated with emotional problems as measured by the SDQ. Moreover, irritability in DMDD was associated with conduct problems, and the hfASD group exhibited the similar trend. Conclusions: Symptom profiles of irritability and the associated emotional and conduct problems in children with hfASD were similar to those of DMDD in the nonautistic population. Future studies are warranted to explore the underlying neurophysiological mechanisms of irritability between autistic and nonautistic children for further insight into the nature of irritability in autism.

The Price of Growing Up in a Low-Income Neighborhood: A Scoping Review of Associated Depressive Symptoms and Other Mood Disorders among Children and Adolescents.

Neighborhoods, as built and social environments, have significant implications for mental health. Children raised in high-poverty neighborhoods, who are disproportionately Black, Indigenous, and people of color, have a greater risk of adverse life outcomes. Neighborhood gentrification is also salient when examining mental health outcomes as neighborhood economic contexts shift around a child. This review scopes, describes, synthesizes, and critiques the existing literature on the relationship between neighborhood poverty/gentrification and mood disorder symptoms among children ages 3-17 in the United States (U.S.). Given the history of structural racism in the creation of U.S. neighborhoods, inclusion criteria required that study samples be racially diverse. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for scoping reviews, seven databases and grey literature were searched; 17 studies were included (total n = 122,089). Fourteen studies found significant associations between neighborhood poverty/gentrification and child depression. Three longitudinal studies found significant results suggesting that childhood neighborhood poverty/gentrification may have a lagged effect, with depression emerging later in life. Neighborhood poverty and gentrification require further examination as social determinants of mental health. Researchers should examine neighborhood poverty and gentrification as social determinants of mental health. Policies that reduce neighborhood economic disparities are needed across the U.S.