A longitudinal network analysis of suicide risk factors among service members and veterans sampled for suicidal ideation or attempt.

BACKGROUND: Suicidal thoughts and behaviors are elevated among active-duty service members (ADSM) and veterans compared to the general population. Hence, it is a priority to examine maintenance factors underlying suicidal ideation among ADSM and veterans to develop effective, targeted interventions. In particular, interpersonal risk factors, hopelessness, and overarousal have been robustly connected to suicidal ideation and intent. METHODS: To identify the suicidal ideation risk factors that are most relevant, we employed network analysis to examine between-subjects (cross-sectional), contemporaneous (within seconds), and temporal (across four hours) group-level networks of suicidal ideation and related risk factors in a sample of ADSM and veterans (participant n = 92, observations n = 10 650). Participants completed ecological momentary assessment (EMA) surveys four times a day for 30 days, where they answered questions related to suicidal ideation, interpersonal risk factors, hopelessness, and overarousal. RESULTS: The between-subjects and contemporaneous networks identified agitation, not feeling close to others, and ineffectiveness as the most central symptoms. The temporal network revealed that feeling ineffective was most likely to influence other symptoms in the network over time. CONCLUSION: Our findings suggest that ineffectiveness, low belongingness, and agitation are important drivers of moment-to-moment and longitudinal relations between risk factors for suicidal ideation in ADSM and veterans. Targeting these symptoms may disrupt suicidal ideation.

Effect of next-step antidepressant treatment on suicidal ideation: findings from the VAST-D trial.

BACKGROUND: Major depressive disorder (MDD) contributes to suicide risk. Treating MDD effectively is considered a key suicide prevention intervention. Yet many patients with MDD do not respond to their initial medication and require a 'next-step'. The relationship between next-step treatments and suicidal thoughts and behaviors is uncharted. METHOD: The VA Augmentation and Switching Treatments for Depression trial randomized 1522 participants to one of three next-step treatments: Switching to Bupropion, combining with Bupropion, and augmenting with Aripiprazole. In this secondary analysis, features associated with lifetime suicidal ideation (SI) and attempts (SA) at baseline and current SI during treatment were explored. RESULTS: Compared to those with SI only, those with lifetime SI + SA were more likely to be female, divorced, or separated, unemployed; and to have experienced more childhood adversity. They had a more severe depressive episode and were more likely to respond to 'next-step' treatment. The prevalence of SI decreased from 46.5% (694/1492) at baseline to 21.1% (315/1492) at end-of-treatment. SI during treatment was associated with baseline SI; low positive mental health, more anxiety, greater severity and longer duration of current MDD episode; being male and White; and treatment with S-BUP or C-BUP as compared to A-ARI. CONCLUSION: SI declines for most patients during next-step medication treatments. But about 1 in 5 experienced emergent or worsening SI during treatment, so vigilance for suicide risk through the entire 12-week acute treatment period is necessary. Treatment selection may affect the risk of SI.

Effect of drug treatment changes and seizure outcomes on depression and suicidality in adults with drug-resistant focal epilepsy.

OBJECTIVE: To investigate changes in depressive and suicidality status and their relationship with seizure outcomes after the addition or substitution of another antiseizure medication (ASM) in adults with drug-resistant focal epilepsy. METHODS: Seven hundred seventy consecutively enrolled patients were assessed and followed prospectively for seizure outcome and depressive status over a 6-month period after starting treatment with a newly introduced ASM. The Neurological Disorders Depression Inventory for Epilepsy (NDDIE) was used to screen for depression and suicidality. Correlations of NDDIE results with clinical and treatment-related variables were assessed by using a stepwise logistic regression model. RESULTS: At baseline, 50% of patients had a positive screening test result for depression and 13% had a positive screening test result for suicidal ideation. A psychiatric comorbidity at baseline was associated with a 2.3 times increased risk of an initially negative NDDIE screening result becoming positive at re-assessment after 6 months. In addition, the number of ASMs taken at baseline correlated with an increased risk of a change in depression screening test results from negative to positive during follow-up, whereas no association was identified with sociodemographic and epilepsy-related variables, including seizure outcomes. Approximately 6% of patients who were initially negative at screening for suicidal ideation became positive at the 6-month re-assessment. The risk of switch from a negative to a positive screening test result for suicidal ideation was increased more than two-fold in individuals who screened positive for depression at baseline, and was unrelated to the type of ASM introduced, sociodemographic variables, or seizure outcomes. SIGNIFICANCE: Almost 1 in 5 adults with drug-resistant focal epilepsy who screen negative for depression become positive when re-assessed 6 months after a treatment change. At re-assessment 6 months later, 6.1% who screen initially negative for passive suicidal ideation become positive. These changes in screening status are independent of type of ASM introduced or seizure outcomes but correlate with psychiatric status at baseline.

Depression and anxiety in multiple sclerosis. Review of a fatal combination.

Depression and anxiety are the most frequent neuropsychiatric symptoms of multiple sclerosis (MS), an autoimmune-mediated demyelinating neurodegenerative disease. Their prevalence is 25-65% and 20-54%, respectively, often associated with chronic fatigue and cognitive impairment, but usually not correlated with motor and other deficits, suggesting different pathophysiological mechanisms. Both disorders often arise before MS diagnosis, lead to faster disability and impair the quality of life. Risk factors are (young) age, genetic and family history burden. While no specific neuropathological data for depression (and anxiety) in MS are available, modern neuroimaging studies showed bilateral fronto-temporal, subcortical and limbic atrophies, microstructural white matter lesions and disruption of frontoparietal, limbic and neuroendocrine networks. The pathogenesis of both depression and anxiety in MS is related to shared mechanisms including oxidative stress, mitochondrial dysfunction, neuroinflammation and neuroendocrine mechanisms inducing complex functional and structural brain lesions, but they are also influenced by social and other factors. Unfortunately, MS patients with anxiety, major depression or suicidal thoughts are often underassessed and undertreated. Current treatment, in addition to antidepressant therapy include transcranial magnetic stimulation, cognitive, relaxation, dietary and other healthcare measures that must be individualized. The present state-of- the-art review is based on systematic analysis of PubMed, Google Scholar and Cochrane Library until May 2024, with focus on the prevalence, clinical manifestation, neuroimaging data, immune mechanisms and treatment options. Depression and anxiety in MS, like in many other neuroimmune disorders, are related, among others, to multi-regional patterns of cerebral disturbances and complex pathogenic mechanisms that deserve further elucidation as a basis for early diagnosis and adequate management to improve the quality of life in this disabling disease.

Nightmare frequency is a risk factor for suicidal ideation during the COVID-19 pandemic.

The association between nightmare frequency (NMF) and suicidal ideation (SI) is well known, yet the impact of the COVID-19 pandemic on this relation is inconsistent. This study aimed to investigate changes in NMF, SI, and their association during the COVID-19 pandemic. Data were collected in 16 countries using a harmonised questionnaire. The sample included 9328 individuals (4848 women; age M[SD] = 46.85 [17.75] years), and 17.60% reported previous COVID-19. Overall, SI was significantly 2% lower during the pandemic vs. before, and this was consistent across genders and ages. Most countries/regions demonstrated decreases in SI during this pandemic, with Austria (-9.57%), Sweden (-6.18%), and Bulgaria (-5.14%) exhibiting significant declines in SI, but Italy (1.45%) and Portugal (2.45%) demonstrated non-significant increases. Suicidal ideation was more common in participants with long-COVID (21.10%) vs. short-COVID (12.40%), though SI did not vary by COVID-19 history. Nightmare frequency increased by 4.50% during the pandemic and was significantly higher in those with previous COVID-19 (14.50% vs. 10.70%), during infection (23.00% vs. 8.10%), and in those with long-COVID (18.00% vs. 8.50%). The relation between NMF and SI was not significantly stronger during the pandemic than prior (rs = 0.18 vs. 0.14; z = 2.80). Frequent nightmares during the pandemic increased the likelihood of reporting SI (OR = 1.57, 95% CI 1.20-2.05), while frequent dream recall during the pandemic served a protective effect (OR = 0.74, 95% CI 0.59-0.94). These findings have important implications for identifying those at risk of suicide and may offer a potential pathway for suicide prevention.

Mental health outcomes in patients with moderate to severe psoriasis treated with bimekizumab: Analysis of phase 2/3 randomized trials.

BACKGROUND: Patients with psoriasis have increased risk of suicidal ideation and behavior (SIB) and depression. Bimekizumab, a biologic that inhibits interleukin (IL)-17A and IL-17F, received Food and Drug Administration approval in 2023 for moderate to severe plaque psoriasis, following 2021 European Medicines Agency approval. OBJECTIVE: To report SIB and depression in patients with moderate to severe psoriasis treated in bimekizumab clinical trials. METHODS: Mental health changes, including neuropsychiatric events, were actively monitored across 9 bimekizumab clinical trials in psoriasis phase 2/3 trials. The patient-reported electronic Columbia-Suicide Severity Rating Scale (measuring SIB) and Patient Health Questionnaire-9 (measuring depression) were administered, monitored by an independent Neuropsychiatric Adjudication Committee. RESULTS: Throughout 7166 patient-years (PY) of bimekizumab exposure, the adjudicated SIB rate was 0.13/100PY; SIB ranges for the general psoriasis population and patients receiving anti-IL-17A/anti-IL-23 therapies are 0.09 to 0.54/100PY and 0.09 to 0.19/100PY, respectively. At week 16, 92.9% vs 81.1% of bimekizumab- vs placebo-treated patients had no/minimal depression. Newonset positive electronic Columbia-Suicide Severity Rating Scale responses and mean Patient Health Questionnaire-9 scores were low for bimekizumab-treated patients. LIMITATIONS: Patient exclusion for significant/severe prespecified SIB/depression history. CONCLUSION: The long-term adjudicated SIB rate with bimekizumab was low and within ranges reported in the general psoriasis patient population and psoriasis patients treated with anti-IL-17A/anti-IL-23 biologics. Screening/monitoring questionnaires reported low SIB and depression levels.

Plasma Apo-E mediated corticospinal tract abnormalities and suicidality in patients with major depressive disorder.

This study aims to explore the link between Apo-E, brain white matter, and suicide in patients with major depressive disorder (MDD) to investigate the potential neuroimmune mechanisms of Apo-E that may lead to suicide. Thirty-nine patients with MDD (22 patients with suicidality) and 57 age, gender, and education-matched healthy controls participated in this study, provided plasma Apo-E samples, and underwent diffusion tensor imaging scans. Plasma Apo-E levels and white matter microstructure were analyzed among the MDD with suicidality, MDD without suicidality, and HC groups using analysis of variance with post hoc Bonferroni correction and tract-based spatial statistics (TBSS) with threshold-free cluster enhancement correction. Mediation analysis investigated the relationship between Apo-E, brain white matter, and suicidality in MDD. The MDD with suicidality subgroup had higher depressive and suicide scores, longer disease course, and lower plasma Apo-E levels than MDD without suicidality. TBSS revealed that the MDD non-suicide subgroup showed significantly increased mean diffusivity in the left corticospinal tract and body of the left corpus callosum, as well as increased axial diffusivity in the left anterior corona radiata and the right posterior thalamic radiation compared to the suicidal MDD group. The main finding was that the increased MD of the left corticospinal tract contributed to the elevated suicide score, with Apo-E mediating the effect. Preliminary result that Apo-E's mediating role between the left corticospinal tract and the suicide factor suggests the neuroimmune mechanism of suicide in MDD. The study was registered on ClinicalTrials.gov (NCT03790085).

Oral ketamine effects on dynamics of functional network connectivity in patients treated for chronic suicidality.

The underlying brain mechanisms of ketamine in treating chronic suicidality and the characteristics of patients who will benefit from ketamine treatment remain unclear. To address these gaps, we investigated temporal variations of brain functional synchronisation in patients with suicidality treated with ketamine in a 6-week open-label oral ketamine trial. The trial's primary endpoint was the Beck Scale for Suicide Ideation (BSS). Patients who experienced greater than 50% improvement in BSS scores or had a BSS score less than 6 at the post-treatment and follow-up (10 weeks) visits were considered responders and persistent responders, respectively. The reoccurring and transient connectivity pattern (termed brain state) from 29 patients (45.6 years ± 14.5, 15 females) were investigated by dynamic functional connectivity analysis of resting-state functional MRI at the baseline, post-treatment, and follow-up. Post-treatment patients showed significantly more (FDR-Q = 0.03) transitions among whole brain states than at baseline. We also observed increased dwelling time (FDR-Q = 0.04) and frequency (FDR-Q = 0.04) of highly synchronised brain state at follow-up, which were significantly correlated with BSS scores (both FDR-Q = 0.008). At baseline, persistent responders had higher fractions (FDR-Q = 0.03, Cohen's d = 1.39) of a cognitive control network state with high connectivities than non-responders. These findings suggested that ketamine enhanced brain changes among different synchronisation patterns and enabled high synchronisation patterns in the long term, providing a possible biological pathway for its suicide-prevention effects. Moreover, differences in cognitive control states at baseline may be used for precise ketamine treatment planning.

Comparing eating disorder treatment outcomes of transgender and gender diverse adolescents with those of cisgender adolescents.

OBJECTIVE: Eating disorder (ED), depression, and anxiety symptoms at admission and discharge were compared, as were admission-to-discharge changes, for transgender and gender diverse (TGD), and cisgender adolescents receiving intensive treatment for EDs. METHOD: Participants were 44 TGD and 573 cisgender adolescents admitted to a treatment facility. Participants completed the Eating Disorder Examination Questionnaire (EDE-Q), Patient Health Questionnaire-9 (PHQ-9), and Generalized Anxiety Disorder-7 (GAD-7) at admission and discharge. RESULTS: Both groups had elevated EDE-Q scores at admission (TGD: M = 3.78, standard deviation [SD] = 1.70; cisgender: M = 3.33, SD = 1.74) that improved by discharge (TGD: M = 2.27, SD = 1.83, Cohen's d = .98; cisgender: M = 2.10, SD = 1.54, Cohen's d = .79); there were no differences in EDE-Q between groups at admission (p = .09; odds ratio [OR] = 1.18, 95% confidence interval [CI] [.98, 1.44]) or discharge (p = .48; OR = 1.07, 95% CI [.88, 1.30]). On admission, TGD adolescents had higher suicidality, measured by PHQ-9, item 9 (p < .001; OR = 1.94, 95% CI [1.51, 2.52]), and depression (p < .001; OR = 1.10, 95% CI [1.05, 1.16]) than cisgender participants. Severity decreased over treatment for all measures. Both groups showed similar improvement on suicidality (p = .93; OR = .98, 95% CI [.70,1.36]), depression (p = .42; OR = 1.02, 95% CI [.97, 1.07]), and anxiety (p = .14; OR = 1.05, 95% CI [.99, 1.12]). However, at discharge, suicidality (p = .02; OR = 1.40, 95% CI [1.04, 1.85]), depression (p < .01; OR = 1.06, 95% CI [1.02, 1.11]), and anxiety (p = .02; OR = 1.06, 95% CI [1.01, 1.12]) were higher for TGD adolescents than their cisgender peers. DISCUSSION: All participants had similar ED symptom severity and improvement. Depression, anxiety, and suicidality remained elevated for TGD adolescents compared to their cisgender peers at discharge, suggesting the need for targeted treatment. PUBLIC SIGNIFICANCE: Transgender and gender diverse (TGD) adolescents have increased risk of eating disorders (EDs); few studies examine how they respond to ED treatment. We examine treatment outcomes of TGD adolescents receiving ED treatment compared to their cisgender peers. We measured ED symptoms along with depression, anxiety, and suicidality at the beginning and end of treatment. While TGD adolescents showed similar improvement in ED symptoms, measures of depression, anxiety, and suicidality remained elevated at the time of discharge.

Face-to-face bullying in and outside of schools and cyberbullying are associated with suicidality in Kenyan high school students: a public health issue.

BACKGROUND: Childhood bullying has been classified as a major public health concern by WHO, with negative effects on the health education and social outcomes of both bullies and victims. There is no current Kenyan data on the prevalence of face-to-face bullying and cyberbullying co-occurring in the same cohort of youth and how they are associated with different aspects of suicidality and socio-demographic characteristics. This study aims to fill these gaps in the Kenyan situation so as to inform current policy and practice. METHODOLOGY: This cross-sectional study involved 2,652 students from ten secondary schools in Kenya, selected from three regions representing different levels of public funded schools and socioeconomic spaces. The outcome variable was derived from the questionnaire which asked students questions related to self-harm, suicide thoughts, plans, and attempts. Predictor variables were based on response on experience of bullying in school, out of school, at home, and cyberbullying. Other variables such as gender, age, family background, and class were also collected from the self-reported questions. Data were analyzed using SPSS version 25, with descriptive summary statistics and chi-square tests used to examine variables, and logistic regression analysis used to determine the associations between suicidality and experience of bullying. RESULTS: The mean age was 16.13 years. More than half of the participants were male, with the largest proportion living in rural areas. Face-to-face bullying was more prevalent than cyberbullying, with 82% of participants experiencing bullying and 68% experiencing it almost daily in the past six months. Both face-to-face bullying and cyberbullying were associated with suicidal thoughts, plans, and attempts. Predictors of suicidal attempts included being bullied outside of school and being a victim of group bullying, while being bullied every day and being bullied by adult men were predictors of suicidal attempts in cyberbullying. CONCLUSION: There is a high prevalence of face-to-face bullying both in and outside schools. There is also a high prevalence of cyberbullying. Both face-to-face and cyberbullying are associated with suicidality in Kenyan high school students.

Association of childhood trauma, social support, cognition, and suicidality in females with bipolar disorder.

BACKGROUND: Bipolar disorder (BD) is a severe mental disorder with heavy disease burden. Females with BD are special populations who suffer a lot from childhood trauma, social support, cognitive deficits, and suicidality. In this study, the relationship among childhood trauma, social support, and clinical symptoms of BD was investigated and the risk factors for suicidality were explored in female patients with BD. METHODS: This study included 57 drug-naive female BD patients, 64 female BD patients with long-term medication, and 50 age-matched female healthy controls. Childhood trauma, social support, clinical symptoms, cognition, and suicidality (suicide ideation, suicide plan, suicide attempt, suicide frequency) were measured with scales. RESULTS: Compared with healthy controls, females with BD showed higher levels of childhood trauma and suicidality, and lower levels of social support and cognitive deficits. In the drug-naïve BD group, social support mediated the relationship between childhood trauma and insomnia symptoms (indirect effect: ab = 0.025). In the BD with long-term medication group, mania symptom was associated with suicide plan (OR = 1.127, p = 0.030), childhood trauma was associated with suicide attempt (OR = 1.088, p = 0.018), and years of education (OR = 0.773, p = 0.028), childhood trauma (OR = 1.059, p = 0.009), and delayed memory (OR= 1.091, p= 0.016) was associated with suicide frequency (OR = 1.091, p = 0.016). CONCLUSIONS: This study provides initial evidence that social support partially explains the relationship between childhood trauma and clinical symptoms in females with BD. Additionally, mania symptoms, childhood trauma, and delayed memory were risk factors for suicidality. Interventions providing social support and improving cognitive function may be beneficial for females with BD who are exposed to childhood trauma and with high suicide risk.

The perceived impact of climate change on mental health and suicidality in Kenyan high school students.

BACKGROUND: Climate change has psychological impacts but most of the attention has been focused on the physical impact. This study was aimed at determining the association of climate change with adolescent mental health and suicidality as reported by Kenyan high school students. METHODS: This was a cross sectional study with a sample size of 2,652. The participants were high school students selected from 10 schools in 3 regions of Kenya. A questionnaire was used to assess climate change experiences, mental health problems, and suicidality of the youth. Data were analyzed descriptively and with logistic regression to determine various associations of the different variables and the predictors of the various scores of SDQ and suicidality at 95% CI. RESULTS: Significant differences were observed between gender and two of the threats of climate change - worry and being afraid as subjectively experienced by the participants. Females were more worried and afraid of climate change than males. On univariate and multivariate logistic regression, we found that various experiences of climate change were significantly associated with various scores of SDQ and much fewer of the experiences predicted SDQ scores. The same pattern was reflected in suicidality. CONCLUSION: Climate change appears to be associated with mental health concerns and suicidality according to Kenyan high school students' reports with gender differences in some associations.

Examining the relationship between non-suicidal self-harm and suicidality within the past 12-months and gaming problems in Norwegian full-time students.

BACKGROUND: Although gaming problems are associated with poor mental health, few population-based studies have examined its association with self-harm and suicidality. This study investigates the association between gaming problems, non-suicidal self-harm and suicidality within the past year, stratified by sex among Norwegian full-time students. METHODS: Data derived from the Norwegian Students' Health and Wellbeing Study 2022 (N = 59,544). The respondents were categorized into non-gamers, recreational gamers, engaged gamers, problematic gamers, and addicted gamers based on the Game Addiction Scale for Adolescents. Log-link binomial regression models, stratified by sex, adjusted for age, were used to estimate the risk ratio of non-suicidal self-harm (ideation and behavior) and suicidal behaviors (ideation and attempt) across different levels of gaming problems. RESULTS: Among females, the risk of non-suicidal self-harm and suicidal ideation increased from non-gamer to problem gamer, with no differences between problem and addicted gamers. Among males, the risk of non-suicidal self-harm increased from non-gamers to engaged gamers, but no differences were observed between engaged, problematic, and addicted gamers. No sex × gaming category interaction was observed for suicide attempts. Engaged and addicted gamers had higher risks of suicide attempt than non-gamers and recreational gamers. CONCLUSIONS: Gaming problems are associated with increased risk of non-suicidal self-harm and suicidal ideation among females. Among males, no differences were observed between engaged, problem and addicted gamers. The results highlight sex when studying health related outcomes and their association to level of gaming problems. Longitudinal studies are warranted to uncover the temporal mechanisms between IGD, non-suicidal self-harm and suicidality.

Maladaptive daydreaming: A shortened assessment measure and its mental health correlates in a large United States sample.

BACKGROUND AND AIMS: Maladaptive Daydreaming (MD) is a suggested syndrome where individuals addictively engage in fanciful, narrative and emotional daydreaming for hours on end, often relying on stereotypical movements and music to facilitate the absorbed state. Many individuals suffering from MD to the point of clinically significant distress and functional impairment have advocated for its medicalization as a disorder. Maladaptive daydreamers exhibit high rates of psychopathology, but most studies were biased by self-selection. We developed a brief measure for efficient assessment of suspected MD and then administered it in a large non-selected US sample to gauge the significance of MD for public mental health. METHODS: Two previous datasets were utilized to develop the 5-item measure, labeled the Maladaptive Daydreaming Short Form (MD-SF5). Then, a large survey was conducted using the Qualtrics panel, administering the MD-SF5 alongside several validated measures of mental health to a general sample of panelists (N = 2512, 84.6% females, age M = 39.74, SD = 18.53, Race/Ethnicity: 66.3% White, 14.7% Black, 9.3% Hispanic, and 9.7% Other). RESULTS: The MD-SF5 showed good to excellent agreement with the existing measure. Generally, the new sample had high psychopathology rates. Suspected MD was associated with psychological distress, loneliness, psychotic experiences, heavy drinking, and suicidality. Notably, even after controlling for psychological distress, suspected maladaptive daydreamers were more than twice as likely to have recently attempted suicide (Odds Ratio = 2.44, 95% CI [1.44, 4.16], Wald = 10.86, p = .001). DISCUSSION AND CONCLUSIONS: MD harbors public health significance and can be screened for with a short self-report tool. Thus, MD should be addressed by mental health practitioners.

Identifying unique subgroups in suicide risks among psychiatric outpatients.

BACKGROUND: The presence of psychiatric disorders is widely recognized as one of the primary risk factors for suicide. A significant proportion of individuals receiving outpatient psychiatric treatment exhibit varying degrees of suicidal behaviors, which may range from mild suicidal ideations to overt suicide attempts. This study aims to elucidate the transdiagnostic symptom dimensions and associated suicidal features among psychiatric outpatients. METHODS: The study enrolled patients who attended the psychiatry outpatient clinic at a tertiary hospital in South Korea (n = 1, 849, age range = 18-81; 61% women). A data-driven classification methodology was employed, incorporating a broad spectrum of clinical symptoms, to delineate distinctive subgroups among psychiatric outpatients exhibiting suicidality (n = 1189). A reference group of patients without suicidality (n = 660) was included for comparative purposes to ascertain cluster-specific sociodemographic, suicide-related, and psychiatric characteristics. RESULTS: Psychiatric outpatients with suicidality (n = 1189) were subdivided into three distinctive clusters: the low-suicide risk cluster (Cluster 1), the high-suicide risk externalizing cluster (Cluster 2), and the high-suicide risk internalizing cluster (Cluster 3). Relative to the reference group (n = 660), each cluster exhibited distinct attributes pertaining to suicide-related characteristics and clinical symptoms, covering domains such as anxiety, externalizing and internalizing behaviors, and feelings of hopelessness. Cluster 1, identified as the low-suicide risk group, exhibited less frequent suicidal ideation, planning, and multiple attempts. In the high-suicide risk groups, Cluster 2 displayed pronounced externalizing symptoms, whereas Cluster 3 was primarily defined by internalizing and hopelessness symptoms. Bipolar disorders were most common in Cluster 2, while depressive disorders were predominant in Cluster 3. DISCUSSION: Our findings suggest the possibility of differentiating psychiatric outpatients into distinct, clinically relevant subgroups predicated on their suicide risk. This research potentially paves the way for personalizing interventions and preventive strategies that address cluster-specific characteristics, thereby mitigating suicide-related mortality among psychiatric outpatients.

Suicide and suicidality in Australian Defence Force veterans: A systematic scoping review.

OBJECTIVE: Increased suicidality and suicide deaths among veterans of the Australian Defence Force have gained recent prominence. A systematic scoping review was conducted to identify, summarise and synthesise the existing literature relating to Australian veteran suicide and suicidality, with the objective of identifying future research priorities. METHODS: We conducted a PRISMA-compliant systematic search on PubMed/MEDLINE, Embase and CINAHL databases for all manuscripts reporting primary data on suicide and suicidality in Australian veterans. The search was supplemented by grey literature and a search of reference lists. Manuscripts of any study type, published in the English language since the Vietnam era, were eligible for inclusion. RESULTS: A total of 26 articles and reports, utilising a variety of mostly quantitative approaches, were included in the review. Findings, especially in larger and more recent studies, indicate increased suicidality in the veteran population. Suicide deaths appeared to increase with transition out of the military. Mental illness was identified as an important risk factor for suicide and suicidality. Current service was identified as a protective factor against suicide. There was mixed evidence regarding the impact of operational deployment on suicide and suicidality. CONCLUSIONS: Gaps were identified in relation to the relative contributions to risk from transition, the various psychosocial correlates (for example, relationships, finances, employment), pre-service factors and the extent to which these are causal or mediating in nature. A better understanding of health service utilisation would also aid in targeting preventive efforts. Future research in these areas is warranted.

Structural transphobia is associated with psychological distress and suicidality in a large national sample of transgender adults.

PURPOSE: Transgender adults face increasingly discriminatory laws/policies and prejudicial attitudes in many regions of the United States (US), yet research has neither quantified state-level transphobia using indicators of both, nor considered their collective association with transgender adults' psychological wellbeing, hindering the identification of this potential social determinant of transgender mental health inequity. METHODS: We therefore used factor analysis to develop a more comprehensive structural transphobia measure encompassing 29 indicators of transphobic laws/policies and attitudes at the state level, which we linked to individual-level mental health data from a large national sample of 27,279 transgender adults (ages 18-100) residing in 45 US states and the District of Columbia (DC). RESULTS: Controlling for individual- (i.e., demographics), interpersonal- (i.e., perceived discrimination), and state- (i.e., income inequality, religiosity) level covariates, transgender adults from US states with higher (vs. lower) levels of structural transphobia reported more severe past-month psychological distress and were more likely to endorse past-year and lifetime suicidal thoughts, plans, and attempts. CONCLUSION: Findings provide novel evidence that state-level transphobic laws/policies and attitudes collectively shape a range of important mental health outcomes among transgender adults in the US. Multilevel intervention strategies, such as affirming mental health treatments, provider-training interventions, and supportive legislation, are needed to address structural transphobia's multifaceted nature and negative mental health consequences.

Negative life events and suicidality among adolescents in Western China: the mediating effect of depressive symptoms and the moderating effect of self-esteem.

OBJECTIVE: To investigate the mediating role of depressive symptoms in the relationship between negative life events (NLEs) and suicidality, as well as to test the moderating effect of self-esteem in the mediation model. METHODS: A total of 3,003 adolescents from Han, Tibetan, and Yi ethnic groups living in Western China were included in this study. Utilizing the structural equation model, a mediation model and a moderated mediation model were constructed. RESULTS: The presence of NLEs was positively associated with suicidality (ß = 0.17, p < 0.001). Depressive symptoms partially mediated the relationship between NLEs and suicidality (indirect effect ß = 0.19, p < 0.001). Self-esteem moderated both the antecedent and subsequent segments of the mediating paths of "NLEs → depressive symptoms → suicidality" and the direct relationship between NLEs and suicidality. Among adolescents with a low level of self-esteem, the mediating effect coefficient of depressive symptoms was higher at 0.18 (95% confidence interval (CI): 0.14-0.23), in contrast to adolescents with a high level of self-esteem, where the mediating effect coefficient of depressive symptoms was 0.04 (95% CI: 0.02-0.07). CONCLUSION: NLEs are directly associated with an increased risk of suicidality and indirectly related to suicidality by increasing the risk of depressive symptoms among adolescents. Self-esteem can moderate the mediating effect of depressive symptoms and the relationship between NLEs and suicidality. The intervention strategy for preventing suicidality among adolescents who have experienced NLEs should focus on reducing depressive symptoms and improving self-esteem.

Pleasurable emotions and internalizing psychopathology: A multi-study examination of specificity and alternative explanations.

OBJECTIVES: Past research has been inconclusive regarding the specificity of associations between discrete pleasurable emotions and internalizing symptoms. Contentment may be especially relevant to depression, whereas tranquillity may be especially relevant to worry. The goal of the current research was to clarify the mixed findings regarding the relation between pleasure deficits and internalizing psychopathology. METHODS: Participants from three samples (Total N = 757) completed alternative measures of depression and pleasurable emotions. Participants in Study 1 also completed a measure of anticipatory and consummatory pleasure, and close peers to a subset of participants (N = 64) reported their perceptions of participants' depression severity. Participants in Studies 2 and 3 also completed a measure of worry. RESULTS: Across the three samples, contentment was significantly negatively associated with self-reported depression. This association could not be accounted for by tranquillity, cheerfulness, anticipatory pleasure, or consummatory pleasure. Contentment was also strongly negatively associated with peer-reported depression. Contentment was more strongly associated with depression than was cheerfulness. However, the strength of the association between contentment and depression relative to the strength of the association between tranquillity and depression depended on how contentment and depression were measured. Conversely, tranquillity was more strongly associated with worry than were contentment or cheerfulness. CONCLUSIONS: This study provides further evidence of the potential importance of the role of contentment in depression and tranquillity in worry. It may be useful to attend to contentment when assessing and treating depression and to attend to tranquillity when assessing and treating elevated worry.

Machine Learning-Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts.

BACKGROUND: Given the additional risk of suicide-related behaviors in adolescents with allergic rhinitis (AR), it is important to use the growing field of machine learning (ML) to evaluate this risk. OBJECTIVE: This study aims to evaluate the validity and usefulness of an ML model for predicting suicide risk in patients with AR. METHODS: We used data from 2 independent survey studies, Korea Youth Risk Behavior Web-based Survey (KYRBS; n=299,468) for the original data set and Korea National Health and Nutrition Examination Survey (KNHANES; n=833) for the external validation data set, to predict suicide risks of AR in adolescents aged 13 to 18 years, with 3.45% (10,341/299,468) and 1.4% (12/833) of the patients attempting suicide in the KYRBS and KNHANES studies, respectively. The outcome of interest was the suicide attempt risks. We selected various ML-based models with hyperparameter tuning in the discovery and performed an area under the receiver operating characteristic curve (AUROC) analysis in the train, test, and external validation data. RESULTS: The study data set included 299,468 (KYRBS; original data set) and 833 (KNHANES; external validation data set) patients with AR recruited between 2005 and 2022. The best-performing ML model was the random forest model with a mean AUROC of 84.12% (95% CI 83.98%-84.27%) in the original data set. Applying this result to the external validation data set revealed the best performance among the models, with an AUROC of 89.87% (sensitivity 83.33%, specificity 82.58%, accuracy 82.59%, and balanced accuracy 82.96%). While looking at feature importance, the 5 most important features in predicting suicide attempts in adolescent patients with AR are depression, stress status, academic achievement, age, and alcohol consumption. CONCLUSIONS: This study emphasizes the potential of ML models in predicting suicide risks in patients with AR, encouraging further application of these models in other conditions to enhance adolescent health and decrease suicide rates.