Corynoxine promotes TFEB/TFE3-mediated autophagy and alleviates Aß pathology in Alzheimer's disease models.

Autophagy impairment is a key factor in Alzheimer's disease (AD) pathogenesis. TFEB (transcription factor EB) and TFE3 (transcription factor binding to IGHM enhancer 3) are nuclear transcription factors that regulate autophagy and lysosomal biogenesis. We previously showed that corynoxine (Cory), a Chinese medicine compound, protects neurons from Parkinson's disease (PD) by activating autophagy. In this study, we investigated the effect of Cory on AD models in vivo and in vitro. We found that Cory improved learning and memory function, increased neuronal autophagy and lysosomal biogenesis, and reduced pathogenic APP-CTFs levels in 5xFAD mice model. Cory activated TFEB/TFE3 by inhibiting AKT/mTOR signaling and stimulating lysosomal calcium release via transient receptor potential mucolipin 1 (TRPML1). Moreover, we demonstrated that TFEB/TFE3 knockdown abolished Cory-induced APP-CTFs degradation in N2aSwedAPP cells. Our findings suggest that Cory promotes TFEB/TFE3-mediated autophagy and alleviates Aß pathology in AD models.

Suicide risk profiles among service members and veterans exposed to suicide.

OBJECTIVES: Rates of suicide exposure are high among service members and Veterans and are especially concerning given the link between suicide exposure and subsequent suicide risk. However, to date, it is unclear which individuals who are exposed to suicide are subsequently at high risk for suicide. Latent profile analysis (LPA) can provide information on unique risk profiles and subgroups of service members and Veterans who have higher suicide risk after suicide exposure, which has not yet been empirically studied. The purpose of this study was to utilize LPA to identify subgroups of service members and Veterans who are at the highest risk for suicidal thoughts and behaviors following suicide exposure. METHODS: We analyzed data using LPA from 2570 service members and Veterans (82.1% male, 69.5% White, and 12.1% Latino/a/x) who completed the Military Suicide Research Consortium's Common Data Elements, a battery of self-report suicide-related measures. Psychopathology, substance use, mental health service utilization, interpersonal theory of suicide, and suicide exposure variables were used to validate classes. RESULTS: Three latent classes emerged from analyses, one low-risk class and two-high risk classes with differing profile compositions (one primarily differentiated by anxiety symptoms and one differentiated by substance use). CONCLUSION: Class-specific recommendations for suicide prevention efforts will be discussed.

Associations of vulnerability to stressful life events with suicide attempts after active duty among high-risk soldiers: results from the Study to Assess Risk and Resilience in Servicemembers-longitudinal study (STARRS-LS).

BACKGROUND: The transition from military service to civilian life is a high-risk period for suicide attempts (SAs). Although stressful life events (SLEs) faced by transitioning soldiers are thought to be implicated, systematic prospective evidence is lacking. METHODS: Participants in the Army Study to Assess Risk and Resilience in Servicemembers (STARRS) completed baseline self-report surveys while on active duty in 2011-2014. Two self-report follow-up Longitudinal Surveys (LS1: 2016-2018; LS2: 2018-2019) were subsequently administered to probability subsamples of these baseline respondents. As detailed in a previous report, a SA risk index based on survey, administrative, and geospatial data collected before separation/deactivation identified 15% of the LS respondents who had separated/deactivated as being high-risk for self-reported post-separation/deactivation SAs. The current report presents an investigation of the extent to which self-reported SLEs occurring in the 12 months before each LS survey might have mediated/modified the association between this SA risk index and post-separation/deactivation SAs. RESULTS: The 15% of respondents identified as high-risk had a significantly elevated prevalence of some post-separation/deactivation SLEs. In addition, the associations of some SLEs with SAs were significantly stronger among predicted high-risk than lower-risk respondents. Demographic rate decomposition showed that 59.5% (s.e. = 10.2) of the overall association between the predicted high-risk index and subsequent SAs was linked to these SLEs. CONCLUSIONS: It might be possible to prevent a substantial proportion of post-separation/deactivation SAs by providing high-risk soldiers with targeted preventive interventions for exposure/vulnerability to commonly occurring SLEs.

Evaluating resilience in response to COVID-19 pandemic stressors among veteran mental health outpatients.

There is a public health need to understand mental health vulnerabilities to COVID-19 pandemic-related stressors and promote resilience among high-risk populations with preexisting psychiatric conditions. Recent cross-sectional studies suggest increases in mental health distress (e.g., depression and anxiety) during the pandemic. The present study expands upon these emerging findings using longitudinal latent modeling and hierarchical linear regressions. Consistent with the developmental psychopathology literature on resilience, we distinguished between promotive or risk (i.e., main effect), and protective or vulnerability (i.e., moderation) effects on mental health during the pandemic. At a large medical center, 398 veterans receiving outpatient mental health care provided prepandemic (Time 1) and during pandemic (Time 2) assessments of mental and physical health-related distress. Additional Time 2 questionnaires assessed pandemic-related stressors and positive behavioral adaptations in the summer of 2020. As expected, total stressor scores predicted longitudinal worsening of self-reported mental (ß = -.205) and physical health (ß = -.217). Positive behavioral adaptations enacted during the pandemic moderated and protected against stressor effects on mental health (ß = .160). In addition, the presence of substance use disorders moderated and conferred vulnerability to stressor effects on physical health (ß = -.158). Thus, higher COVID-19 pandemic stressor exposure may have exacerbated mental and physical health distress among veterans with common forms of psychopathology. Nevertheless, behavioral activation, purposeful maintenance of social connections, and focused treatment for substance misuse may be important intervention targets for reducing the longitudinal impact of pandemic stressors and enhancing resilience among people with mental illness. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Prospective Associations of Military Discharge Characterization with Post-active Duty Suicide Attempts and Homelessness: Results from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS).

INTRODUCTION: Active duty service members transitioning to civilian life can experience significant readjustment stressors. Over the past two decades of the United States' longest sustained conflict, reducing transitioning veterans' suicidal behavior and homelessness became national priorities. However, it remains a significant challenge to identify which service members are at greatest risk of these post-active duty outcomes. Discharge characterization, which indicates the quality of an individual's military service and affects eligibility for benefits and services at the Department of Veterans Affairs, is a potentially important indicator of risk. MATERIALS AND METHODS: This study used data from two self-report panel surveys of the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS) (LS1: 2016-2018, n = 14,508; and LS2: 2018-2019, n = 12,156), which were administered to respondents who previously participated while on active duty in one of the three Army STARRS baseline self-report surveys (2011-2014): the New Soldier Study (NSS), a survey of soldiers entering basic training; All Army Study, a survey of active duty soldiers around the world; and the Pre-Post Deployment Study, a survey of soldiers before and after combat deployment. Human Subjects Committees of the participating institutions approved all recruitment, informed consent, and data collection protocols. We used modified Poisson regression models to prospectively examine the association of discharge characterization (honorable, general, "bad paper" [other than honorable, bad conduct, dishonorable], and uncharacterized [due to separation within the first 180 days of service]) with suicide attempt (subsample of n = 4334 observations) and homelessness (subsample of n = 6837 observations) among those no longer on active duty (i.e., separated or deactivated). Analyses controlled for other suicide attempt and homelessness risk factors using standardized risk indices that were previously developed using the LS survey data. RESULTS: Twelve-month prevalence rates of self-reported suicide attempts and homelessness in the total pooled LS sample were 1.0% and 2.9%, respectively. While not associated with suicide attempt risk, discharge characterization was associated with homelessness after controlling for other risk factors. Compared to soldiers with an honorable discharge, those with a bad paper discharge had an increased risk of homelessness in the total sample (relative risk [RR] = 4.4 [95% CI = 2.3-8.4]), as well as within subsamples defined by which baseline survey respondents completed (NSS vs. All Army Study/Pre-Post Deployment Study), whether respondents had been separated (vs. deactivated), and how much time had elapsed since respondents were last on active duty. CONCLUSIONS: There is a robust association between receiving a bad paper discharge and post-separation/deactivation homelessness. Policies that enhance transition assistance and access to mental healthcare for high-risk soldiers may aid in reducing post-separation/deactivation homelessness among those who do not receive an honorable discharge.

Predicting suicide attempts among U.S. Army soldiers after leaving active duty using information available before leaving active duty: results from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS).

Suicide risk is elevated among military service members who recently transitioned to civilian life. Identifying high-risk service members before this transition could facilitate provision of targeted preventive interventions. We investigated the feasibility of doing this by attempting to develop a prediction model for self-reported suicide attempts (SAs) after leaving or being released from active duty in the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS). This study included two self-report panel surveys (LS1: 2016-2018, LS2: 2018-2019) administered to respondents who previously participated while on active duty in one of three Army STARRS 2011-2014 baseline self-report surveys. We focus on respondents who left active duty >12 months before their LS survey (n = 8899). An ensemble machine learning model using predictors available prior to leaving active duty was developed in a 70% training sample and validated in a 30% test sample. The 12-month self-reported SA prevalence (SE) was 1.0% (0.1). Test sample AUC (SE) was 0.74 (0.06). The 15% of respondents with highest predicted risk included nearly two-thirds of 12-month SAs and over 80% of medically serious 12-month SAs. These results show that it is possible to identify soldiers at high post-transition self-report SA risk before the transition. Future model development is needed to examine prediction of SAs assessed by administrative data and using surveys administered closer to the time of leaving active duty.

Prevalence and correlates of past-month suicidal thoughts, suicide attempts, and non-suicidal self-injury among adults in a partial hospital program.

OBJECTIVE: This study examined the prevalence and cross-sectional correlates of past-month suicidal thoughts, suicide attempts, interrupted attempts, aborted attempts, and non-suicidal self-injury (NSSI) among patients seeking treatment at a partial hospitalization program (PHP). METHOD: 1063 patients (54% female, 87% white, mean age = 33.6 years) receiving treatment at a PHP completed self-report questionnaires and the Columbia-Suicide Severity Rating Scale as part of routine clinical monitoring upon admission to the program. We examined demographic and clinical cross-sectional correlates of self-injurious thoughts and behaviors (SITBs) using descriptive statistics, ordinal regression, and logistic regression analyses. RESULTS: In the past month, 44.6% of patients reported active suicidal thoughts, 5.6% reported a suicide attempt, 1.8% reported an interrupted attempt, 5.5% reported an aborted attempt, and 16.6% reported NSSI. Inpatient referral source (ORs = 2.45-5.28), minority sexual orientation (ORs = 1.43-6.94), and more Borderline Personality Disorder (BPD) symptoms (ORs = 1.09-1.23) were each associated with at least three of the five SITBs examined. CONCLUSIONS: This study highlights elevated rates of suicidal thoughts, suicide attempts, and NSSI in a partial hospital sample. Given that past attempts predict future attempts and death by suicide, support during the transition from inpatient to outpatient care via programs such as PHPs is needed. Patients referred from inpatient treatment, who identity as a sexual minority, and with more BPD symptoms may require additional support and safety monitoring. Further work is indicated to better understand how PHP patients' SITBs change during and after partial hospitalization.

User Engagement and Usability of Suicide Prevention Apps: Systematic Search in App Stores and Content Analysis.

BACKGROUND: People with suicidal thoughts are more inclined to seek technology-delivered interventions than in-person forms of treatment, making mobile apps for suicide prevention an ideal platform for treatment delivery. This review examines apps designed for suicide prevention, with a specific focus on user engagement. OBJECTIVE: This study aims to update the literature and broadly evaluate the landscape of mobile health apps for suicide prevention; examine apps with key features and primary approaches to suicide prevention; and systematically evaluate the engagement, functionality, aesthetics, and information of the apps. METHODS: All apps related to suicidal thoughts and behaviors were identified in the Google Play and iOS app stores and were systematically reviewed for their content and quality. The mobile app rating scale (MARS) was used to evaluate app usability and engagement. RESULTS: Of the 66 apps identified, 42 (64%) were specifically designed for people with suicidal ideation, and 59 (89%) had at least one best practice feature for suicide risk reduction. The mean overall MARS score of all apps was 3.5 (range 2.1-4.5), with 83% (55/66) of apps having a minimum acceptability score of 3. The total MARS score was not associated with the user app rating (r=-0.001; P=.99) or the number of features (r=0.24; P=.09). CONCLUSIONS: This study identified many usable and engaging apps in app stores designed for suicide prevention. However, there are only limited apps for clinicians. Thus, mobile apps for suicide prevention should be carefully developed and clinically evaluated.

Temporal relations among sleep, depression symptoms, and anxiety symptoms during intensive cognitive-behavioral treatment.

OBJECTIVE: Bidirectional relations between sleep disturbances, depression symptoms, and anxiety symptoms have been frequently observed in empirical studies; however, little is known about the temporal relations between these variables in the context of treatment. METHOD: The current study examines the temporal relations between sleep parameters, depression symptoms, and anxiety symptoms in a large sample of individuals undergoing intensive cognitive-behavioral partial hospital treatment (N = 1,184). Random-intercept cross-lagged panel models were fit to these data to determine whether (1) sleep parameters uniquely predicted subsequent depression and anxiety symptoms and (2) depression and anxiety symptoms uniquely predicted subsequent sleep parameters. RESULTS: Results revealed relations in both directions: later than usual bedtimes predicted higher than usual anxiety and depression the next day, shorter than usual sleep duration predicted higher than usual depression the next day, shorter than usual nighttime sleep onset latency predicted higher than usual anxiety the next day, and higher than usual anxiety predicted shorter than usual sleep duration on the next night. CONCLUSIONS: These finding suggest the potential value of examining sleep behaviors associated with sleep timing and circadian rhythms as important transdiagnostic factors during treatment for anxiety and depression. We discuss the implications for future studies of the relations between sleep and psychopathology symptoms and understanding individuals' experiences in the context of cognitive-behavioral treatment. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Psychological Problems among 12th-Grade Students Predicting Military Enlistment: Findings from the Monitoring the Future Survey.

Objective: Rates of some psychological disorders are higher among enlisted U.S. military personnel than socio-demographically matched civilians. Indirect evidence suggests some internalizing and externalizing psychological problems among enlistees onset prior to enlistment. However, the consistency and strength of the associations between pre-enlistment psychological problems and enlistment over time is unknown. We address this uncertainty by examining whether internalizing and externalizing problems in high school predicted subsequent military enlistment using a large cohort-sequential panel study. Method: The Monitoring the Future study administered baseline surveys from 1989-2014 and biennial follow-up surveys two and four years later to national samples of high-school seniors (N = 20,823). Validated self-report scales assessed internalizing (depression, low self-esteem) and externalizing (risk-taking, school misbehavior, conduct disorder, interpersonal violence, alcohol, and drug use) problems in each survey. Follow-up surveys assessed military enlistment. Logistic regression models were used to estimate associations of problems scales with subsequent enlistment. Results: School misbehavior in 12th grade, and risk-taking in 12th grade and two years after graduation were associated with significantly elevated odds of enlistment at follow-up. Although modest, these associations were linear and invariant across respondent sex and baseline survey year. Conclusions: School misbehavior and risk-taking predicted subsequent enlistment and there was no evidence of historical changes in these associations over the course of 25 years; these pre-enlistment psychological problems do not fully explain the high rates of psychological disorders among enlisted military personnel. Further research is needed to determine whether these predictors are associated with negative outcomes during or after military service.

A test of the interpersonal theory of suicide in a large, representative, retrospective and prospective study: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

The interpersonal theory of suicide hypothesizes that perceived burdensomeness, thwarted belongingness, and hopelessness lead to active suicidal thoughts and individuals with active suicidal thoughts and elevated capability for suicide are most likely to attempt suicide. We retrospectively and prospectively tested this theory in a large sample of 7677 U.S. Army soldiers followed post-deployment for up to nine months. The interaction of perceived burdensomeness and hopelessness (OR = 2.59) was significantly associated with lifetime suicidal thoughts; however, the interactions of thwarted belongingness and perceived burdensomeness and of thwarted belongingness and hopelessness were not. Consistent with the theory, capability for suicide prospectively predicted suicide attempts during and following deployment (OR = 1.22); however, among soldiers reporting lifetime suicidal thoughts, capability did not predict attempts, only perceived burdensomeness did (OR = 1.36). Results supported some, but not all, theory hypotheses, suggesting that additional constructs may be needed to better identify the psychological factors that lead soldiers to attempt suicide.

Routinized categorization of suicide risk into actionable strata: Establishing the validity of an existing suicide risk assessment framework in an outpatient sample.

OBJECTIVE: The Suicide Risk Assessment and Management Decision Tree (DT) is a clinician-administered assessment that leads to risk categorizations that correspond with actionable strata. This study investigated the construct validity and test-retest reliability of the DT risk categories across two time points. METHOD: Outpatients (N = 731) completed a battery of self-report measures. Spearman's correlations were used to examine the relationships between DT suicide risk level and suicidal symptoms, theory-based risk factors, psychiatric correlates, and DT suicide risk level at Timepoint 2. Correlations were analyzed for significant differences to examine the divergent validity of the DT. RESULTS: Results, overall, were in line with hypotheses, with the exception of depression and thwarted belongingness. CONCLUSIONS: Findings provide evidence for the reliability, convergent validity, and discriminant validity of the DT. This clinician-administered suicide risk assessment may be useful for standardization of the assessment and management of suicide risk in outpatient clinical settings.

Military Suicide Research Consortium common data elements: Bifactor analysis and longitudinal predictive ability of suicidal ideation and suicide attempts within a clinical sample.

To enhance and standardize the assessment of suicidal self-directed violence (SDV) in military populations, the Military Suicide Research Consortium developed the Common Data Elements (CDEs). Previous research supported the CDEs as assessing a higher-order factor of suicidal SDV in military populations. The present study had two aims: 1) confirm the bifactor structure of the CDEs in a high-risk sample, and 2) assess the ability of the factorially derived suicidal SDV factor to predict suicide attempts and return to care for suicidal ideation over 3-month follow-up. Utilizing a sample of service members referred for a psychiatric evaluation (N = 1,044), the CDE structure was assessed with confirmatory bifactor modeling. Logistic regressions and receiver operating characteristic (ROC) analyses were used to assess the suicidal SDV risk factor's prediction of suicide attempts and return to care for suicidal ideation during follow-up (n = 758). Bifactor modeling suggested adequate fit for the overarching suicidal SDV risk factor. Logistic regressions supported the overarching suicidal SDV risk factor as a predictor of suicide attempts (OR = 4.07, p < .001) and return to care for suicidal ideation (OR = 2.81, p < .001) over follow-up. However, ROC analyses suggested that the model including the suicidal SDV risk factor was only significantly better at classifying suicide attempts over follow-up (not return to care for suicidal ideation) than the model that did not include it (AUC difference = 0.15, p < .001). Findings suggest that the shared variance assessed across CDEs better predicts future suicide attempts beyond any individual suicide-related constructs. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Pre-deployment predictors of suicide attempt during and after combat deployment: Results from the Army Study to Assess Risk and Resilience in Servicemembers.

BACKGROUND: Deployment-related experiences might be risk factors for soldier suicides, in which case identification of vulnerable soldiers before deployment could inform preventive efforts. We investigated this possibility by using pre-deployment survey and administrative data in a sample of US Army soldiers to develop a risk model for suicide attempt (SA) during and shortly after deployment. METHODS: Data came from the Army Study to Assess Risk and Resilience in Servicemembers Pre-Post Deployment Survey (PPDS). Soldiers completed a baseline survey shortly before deploying to Afghanistan in 2011-2012. Survey measures were used to predict SAs, defined using administrative and subsequent survey data, through 30 months after deployment. Models were built using penalized regression and ensemble machine learning methods. RESULTS: Significant pre-deployment risk factors were history of traumatic brain injury, 9 + mental health treatment visits in the 12 months before deployment, young age, female, previously married, and low relationship quality. Cross-validated AUC of the best penalized and ensemble models were .75-.77. 21.3-40.4% of SAs occurred among the 5-10% of soldiers with highest predicted risk and positive predictive value (PPV) among these high-risk soldiers was 4.4-5.7%. CONCLUSIONS: SA can be predicted significantly from pre-deployment data, but intervention planning needs to take PPV into consideration.

Unextracted plasma oxytocin levels decrease following in-laboratory social exclusion in young adults with a suicide attempt history.

Social exclusion is associated with greater suicide risk and more needs to be known about the biological processes contributing to this association. Oxytocin, a neuropeptide that regulates social interactions, may protect against the negative effects of exclusion by motivating social engagement. Oxytocin levels and desire for social engagement increase when non-psychiatric controls experience acute social exclusion. However, among individuals with borderline personality disorder and chronic depression, oxytocin levels decrease following exclusion. Both of these psychiatric illnesses are associated with high rates of suicidal behavior. No research has examined changes in oxytocin following social exclusion among individuals at risk for suicide. This quasi-experimental study examined differences in oxytocin levels and perceptions of social connectedness following an in-laboratory, acute social exclusion task among (a) individuals with no depression or suicide attempt histories, (b) individuals with current depression symptoms, and (c) individuals with current depression symptoms and suicide attempt histories. Young adults (N = 100) completed self-report measures and provided blood samples before and after an acute social exclusion task (Cyberball). Oxytocin was quantified via enzyme-linked immunosorbent assay. Mixed-design ANCOVAs were used to evaluate changes in unextracted and extracted oxytocin levels, desire for emotional support, thwarted belongingness, and perceived burdensomeness. Among suicide attempters, unextracted oxytocin levels decreased and desire for emotional support did not significantly change following exclusion. Among depressed and healthy controls, desire for emotional support increased and unextracted oxytocin levels did not significantly change. No significant changes in extracted oxytocin levels, thwarted belongingness and perceived burdensomeness emerged. Further research is needed to determine if dysregulated oxytocin-related processes biologically predispose individuals with suicide attempt histories to greater social disconnection and suicide risk.

Pathways among sleep onset latency, relationship functioning, and negative affect differentiate patients with suicide attempt history from patients with suicidal ideation.

Depression, anxiety, sleep disturbances and poor relationship functioning often co-occur with the confluence of these factors contributing to greater suicide risk. This study investigated whether the pathways between depression, anxiety, sleep disturbances, and relationship functioning differentiated patients with suicide attempt history from those with suicidal ideation history. Patients seeking partial hospital treatment for severe psychiatric symptoms (N = 180) completed interviews assessing psychiatric and suicidal symptom histories, and self-report measures of sleep behaviors, anxiety, depression, and relationship functioning. Multiple sleep behaviors were examined: duration, sleep onset latency, and bedtime. Bias-corrected bootstrap mediation and moderated mediation analyses with suicide attempt as the moderator were used to evaluate pathways between variables. Among patients with ideation and attempt history, (1) sleep onset latency significantly mediated the association between depression and relationship functioning and that between anxiety and relationship functioning; (2) relationship functioning significantly mediated the association between depression and sleep onset latency and that between anxiety and sleep onset latency. These pathways were not significant among patients with suicidal ideation only. No other sleep behaviors were related to study variables. The reciprocal relationship between disrupted sleep onset latency and poor relationship functioning was specifically linked to more severe psychiatric symptoms among acute patients with suicide attempt histories.

A Longitudinal Study of Psychological Factors as Mediators of the Relationship Between Insomnia Symptoms and Suicidal Ideation Among Young Adults.

STUDY OBJECTIVES: Prior cross-sectional studies indicate that psychological factors (eg, perceived burdensomeness, thwarted belongingness) may explain the relationship between insomnia and suicidal ideation. Longitudinal studies are needed, however, to examine how these variables may relate to one another over time. Using data collected at three time points, this study aimed to evaluate various psychological factors as mediators of the longitudinal relationship between insomnia symptoms and suicidal ideation. METHODS: Young adults (n = 226) completed self-report measures of insomnia symptoms, suicidal ideation, and psychological factors (ie, disgust with self, others, and the world; perceived burdensomeness; thwarted belongingness; and loneliness) at baseline (T1), 1-month follow-up (T2), and 2-month follow-up (T3). Bias-corrected bootstrap mediation models were utilized to evaluate each T2 psychological factor as a mediator of the relationship between T1 insomnia symptoms and T3 suicidal ideation severity, controlling for the corresponding T1 psychological factor and T1 suicidal ideation severity. RESULTS: Only T2 disgust with others and T2 disgust with the world significantly mediated the relationship between T1 insomnia symptoms and T3 suicidal ideation severity. When both mediators were included in the same model, only T2 disgust with the world emerged as a significant mediator. CONCLUSIONS: Findings indicate that disgust with others, and particularly disgust with the world, may explain the longitudinal relationship between insomnia symptoms and suicidal ideation among young adults. These factors may serve as useful therapeutic targets in thwarting the trajectory from insomnia to suicidal ideation. Research is needed, however, to replicate these findings in higher risk samples.

The necessity, validity, and clinical utility of a new diagnostic entity: Acute suicidal affective disturbance.

OBJECTIVE: Here we argue for the necessity, validity, and clinical utility of a new diagnostic entity, acute suicidal affective disturbance (ASAD). METHOD: We expand on the conceptual, clinical, and practical rationale for ASAD, propose its defining features, describe research results to date, and suggest avenues for future research. RESULTS: There is accruing evidence for the existence of a previously unclassified, rapid-onset mood disturbance that geometrically escalates and regularly results in life-threatening behavior. CONCLUSIONS: ASAD research may not only improve the field's understanding of suicidal behavior but also enhance clinical effectiveness and save lives.

Insomnia predicts increased perceived burdensomeness and decreased desire for emotional support following an in-laboratory social exclusion paradigm.

BACKGROUND: Research suggests that insomnia is associated with elevated perceptions of loneliness and social disconnection; however, few quasi-experimental studies have tested the relationship between these constructs. This study examined whether insomnia symptom severity predicts changes in perceptions of interpersonal connectedness and desire for emotional support following in-laboratory participation in a social exclusion paradigm. METHODS: Young adults (N = 70) completed self-report measures assessing constructs of interest before and after engaging in a social exclusion paradigm (Cyberball). Linear regression analyses were used to evaluate whether baseline insomnia symptom severity predicted perceived burdensomeness, desire for emotional support, and thwarted belongingness after playing Cyberball; analyses controlled for baseline perceived burdensomeness, desire for emotional support, and thwarted belongingness, respectively, as well as baseline social anxiety and depression symptoms. RESULTS: Greater insomnia symptom severity significantly predicted greater feelings of perceived burdensomeness following Cyberball participation, beyond baseline perceived burdensomeness, social anxiety symptoms, and depression symptoms (ß= .24, p = .001). More severe insomnia symptoms also significantly predicted lower desire for emotional support after playing Cyberball, beyond baseline desire for emotional support and social anxiety symptoms (ß= -.14, p = .03) but not beyond baseline depression symptoms (ß= -.16, p = .07). Insomnia symptoms were not significantly associated with thwarted belongingness after Cyberball (ß= -.05-.08, p = .27-.57). LIMITATIONS: Replication in larger samples and using other sleep disturbance indices is needed. CONCLUSIONS: Findings suggest that individuals with more severe insomnia symptoms in the past two weeks experience greater perceptions of being a burden on others and less desire for emotional support in response to social exclusion.

The Military Suicide Research Consortium Common Data Elements: An Examination of Measurement Invariance Across Current Service Members and Veterans.

Suicide rates within the U.S. military are elevated, necessitating greater efforts to identify those at increased risk. This study utilized a multigroup confirmatory factor analysis to examine measurement invariance of the Military Suicide Research Consortium Common Data Elements (CDEs) across current service members (n = 2,015), younger veterans (<35 years; n = 377), and older veterans (≥35 years; n = 1,001). Strong factorial invariance was supported with adequate model fit observed for current service members, younger veterans, and older veterans. The structures of all models were generally comparable with few exceptions. The Military Suicide Research Consortium CDEs demonstrate at least adequate model fit for current military service members and veterans, regardless of age. Thus, the CDEs can be validly used across military and veteran populations. Given similar latent structures, research findings in one group may inform clinical and policy decision making for the other.