Efficacy of an Internet-Delivered Intervention for Improving Insomnia Severity and Functioning in Veterans: Randomized Controlled Trial.

BACKGROUND: Despite a growing evidence base that internet-delivered cognitive behavioral therapy for insomnia (iCBT-I) is associated with decreased insomnia severity, its efficacy has been minimally examined in veterans. OBJECTIVE: The objective of this study was to evaluate the efficacy of an unguided iCBT-I (Sleep Healthy Using the Internet [SHUTi]) among veterans. METHODS: We conducted a single-blind, randomized controlled trial in Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn veterans eligible for Veterans Health Administration care. Participants were randomly assigned (1:1) to receive SHUTi (a self-guided and interactive program) or an Insomnia Education Website (IEW) that provided nontailored and fixed insomnia information. Web-based assessments were administered at baseline, postintervention, 6 months postintervention, and 1 year postintervention. The primary outcome was self-reported insomnia severity (Insomnia Severity Index [ISI]). Secondary outcomes were self-reported mental and physical health functioning (Veterans RAND 36-item Health Survey). Exploratory outcomes comprised sleep diary parameters. RESULTS: Of the 231 randomized participants (mean age 39.3, SD 7.8 years; 170/231, 73.5% male sex; 26/231, 11.3% Black; 172/231, 74.5% White; 10/231, 4.3% multiracial; and 17/231, 7.4% other; 36/231, 15.6% Hispanic) randomized between April 2018 and January 2019, a total of 116 (50.2%) were randomly assigned to SHUTi and 115 (49.8%) to the IEW. In intent-to-treat analyses, SHUTi participants experienced significantly larger ISI decreases compared with IEW participants at all time points (generalized η2 values of 0.13, 0.12, and 0.10, respectively; all P<.0001). These corresponded to estimated larger differences in changes of -3.47 (95% CI -4.78 to -2.16), -3.80 (95% CI -5.34 to -2.27), and -3.42 (95% CI -4.97 to 1.88) points on the ISI for the SHUTi group. SHUTi participants experienced significant improvements in physical (6-month generalized η2=0.04; P=.004) and mental health functioning (6-month and 1-year generalized η2=0.04; P=.009 and P=.005, respectively). Significant sleep parameter improvements were noted for SHUTi (all P<.05), though the pattern and magnitude of these reductions varied by parameter. No adverse events were reported. CONCLUSIONS: Self-administered iCBT-I was associated with immediate and long-term improvements in insomnia severity. Findings suggest that leveraging technology to meet insomnia treatment demands among veterans may be a promising approach. TRIAL REGISTRATION: ClinicalTrials.gov NCT03366870; https://clinicaltrials.gov/ct2/show/NCT03366870.

Longitudinal assessment of the sleep suicide link in Veterans: methods and study protocol.

Although sleep disruption has emerged as a theoretically consistent and empirically supported suicide risk factor, the mechanistic pathways underlying the sleep-suicide link are less understood. This paper describes the methodology of a study intended to examine longitudinal mechanisms driving the link between sleep and suicide in Veterans at elevated suicide risk. Participants will be 140 Veterans hospitalized for suicide attempt or ideation with plan and intent or those identified through the Suicide Prevention Coordinator (SPC) office as being at acute risk. After study enrollment, actigraphy and ecological momentary assessment (EMA) data will be collected for 8 weeks, with follow-up assessments occurring at 2, 4, 6, 8, and 26 weeks. Participants respond to EMA questionnaires, derived from psychometrically validated assessments targeting emotional reactivity, emotion regulation, impulsivity, suicide risk, and sleep timing constructs, five times a day. First and last daily EMA target sleep parameters including sleep quantity, quality, timing, nightmares, and nocturnal awakenings. During follow-up assessments, participants will complete self-report assessments and interviews consistent with EMA constructs and the Iowa Gambling Task. The primary outcome for aim 1 is suicide ideation severity and for the primary outcome for aim 2 is suicide behavior. Findings from this study will improve our understanding of the dynamic interactions among sleep disturbance, emotion reactivity/regulation, and impulsivity to inform conceptual Veteran sleep-suicide mechanistic models. Improved models will be critical to optimizing the precision of suicide prevention efforts that aim to intervene and mitigate risk in Veteran populations, especially during a period of acute risk.

The association among insomnia symptom severity, comorbid symptoms, and suicidal ideation in two veteran cohorts meeting diagnostic criteria for insomnia disorder.

OBJECTIVE: Examine the association between insomnia symptom severity and suicidal ideation (SI), after adjusting for clinical comorbidity in veterans meeting diagnostic criteria for insomnia disorder. METHODS: Secondary data analyses of psychometrically validated baseline assessments of depression, posttraumatic stress disorder (PTSD), and anxiety symptoms from two online insomnia intervention randomized clinical trials (n = 232; n = 80) were conducted. Multiple linear regression was used to determine the association between insomnia symptom severity and SI, after controlling for clinical comorbidity and demographics. RESULTS: Insomnia symptom severity was significantly correlated with comorbid depression, PTSD, and anxiety symptoms in both cohorts and significantly correlated with SI in one. After controlling for demographics and clinical comorbidity, insomnia symptom severity was not significantly associated with SI in linear regression models. CONCLUSION: Findings extend insomnia-suicide research by providing evidence that insomnia symptom severity may not confer a unique risk for SI above comorbid mental health symptoms in veterans meeting diagnostic criteria for insomnia disorder.

Therapeutic Risk Management for Violence: Safety Planning for Other-directed Violence.

Therapeutic management of risk for other-directed violence (ODV) involves screening, assessment, and clinically appropriate intervention. In this 5-part series, effective screening and assessment for ODV have been described as a combination of clinical interviewing and the use of structured tools to inform clinical impressions of both acute and chronic risk for violence. Once risk of violence is identified, therapeutic management of the risk throughout the course of treatment is best achieved by determining the function of the violent ideation and behavior. This can be achieved through the use of functional chain analysis. Chain analysis not only serves the purpose of providing insight into the contingencies of violent behavior but also helps to identify target areas of intervention where other skills, strategies, and means to access resources for support can be applied. In this fifth and final column of the series, we describe an intervention with all of these outcomes as its goals. A safety plan for ODV assists both clients and mental health professionals in disrupting patterns of violent ideation or behavior that would otherwise continue causing not only harm to others but prolonged negative consequences for those engaging in such behaviors.

Therapeutic Risk Management for Violence: Chain Analysis of Other-directed Violent Ideation and Behavior.

Violence risk assessment is a requisite component of mental health treatment. Adhering to standards of care and ethical and legal requirements necessitates a cogent process for conducting, and then documenting, other-directed violence (ODV) risk screening, assessment, and management. In this 5-part series, we describe a model for achieving therapeutic risk management of the potentially violent patient, with essential elements involving: clinical interview augmented by structured screening or assessment tools; risk stratification in terms of temporality and severity; chain analysis to intervene on the functions of ODV ideation and behavior; and a personalized safety plan to mitigate/manage risk. In this fourth column of the series, we describe chain analysis as a critical tool for assessing and intervening on ODV ideation and behavior. We identify the pathways of reinforcement that can cause ODV to persist, and how to navigate potential barriers to completing ODV chains. Using a case example, we demonstrate how to apply chain analysis to ODV ideation and behavior and offer interventional strategies that can be used to disrupt the chain and ultimately reduce the risk for violence.

Characteristics of nonsuicidal self-injury among veterans.

OBJECTIVE: The current study aimed to (a) assess basic nonsuicidal self-injury (NSSI) characteristics using a validated clinical interview among a sample of veterans not recruited for specific diagnostic or environmental criteria and (b) examine the relation between NSSI and medical severity of prior suicide attempts (SAs) among veterans. DESIGN: We conducted secondary data analyses among a combined sample of veterans (N = 165) from two parent studies conducted at a large VA Medical Center that implemented identical recruitment protocols. No psychiatric criteria were utilized for inclusion or exclusion purposes. RESULTS: Approximately 16% of participants reported NSSI history and almost 21% reported SA history. NSSI history was associated with probability of prior SA but not the medical severity of prior SA. CONCLUSIONS: NSSI is a prevalent concern among veterans and is associated with probability of SA. It remains unclear whether prior NSSI is associated with more medically serious SA in this population.

Therapeutic Risk Management for Violence: Stratifying Risk and Characterizing Violence.

Violence risk assessment is a requisite component of mental health treatment. Adhering to standards of care and ethical and legal requirements necessitates a cogent process for conducting, and then documenting, other-directed violence risk screening, assessment, and management. In this 5-part series, we describe a model for achieving therapeutic risk management of the potentially violent patient, with essential elements involving: clinical interview augmented by structured screening or assessment tools; risk stratification in terms of temporality and severity; chain analysis to intervene on the functions of violent ideation and behavior; and personalized safety plans to mitigate/manage risk. This third column in the series describes other-directed violence risk stratification in terms of both severity and temporality, as well an approach for characterizing (ie, predatory/planned or impulsive/reactive) the violence risk posed by an individual.

Therapeutic Risk Management for Violence: Augmenting Clinical Risk Assessment With Structured Instruments.

Violence risk assessment is a requisite component of mental health treatment. Adhering to standards of care and ethical and legal requirements necessitates a cogent process for conducting, and then documenting, other-directed violence risk screening, assessment, and management. In this 5-part series, we describe a model for achieving therapeutic risk management of the potentially violent patient, with essential elements involving: clinical interview augmented by structured screening or assessment tools; risk stratification in terms of temporality and severity; chain analysis to intervene on the functions of violent ideation and behavior; and a personalized safety plan to mitigate/manage risk. This second column in the series describes the advantages of, and offers suggestions for, incorporating structured tools into violence risk assessment.

Therapeutic Risk Management for Violence: Clinical Risk Assessment.

Violence risk assessment is a requisite component of mental health treatment. Adhering to standards of care and ethical and legal requirements necessitates a cogent process for conducting (and documenting) screening, assessment, and management of other-directed violence risk. In this 5-part series, we describe a model for achieving therapeutic risk management of the potentially violent patient, with essential elements involving a clinical interview augmented by structured screening or assessment tools; risk stratification in terms of temporality and severity; chain analysis to intervene on the functions of violent ideation and behavior; and development of a personalized safety plan. This first column of the series focuses on essential aspects of the clinical interview.

Therapeutic Risk Management: Suicide Postvention.

When considering critical elements involved in suicide prevention, dialogs are often dominated by suicide assessment, management, and intervention themes. Proactive consideration on what to do if a patient dies by suicide is often overlooked, which can be especially detrimental to our practice and those we serve. In this article, we extend the philosophy of the therapeutic risk management model to consider ways in which we can take good care of the extended community of suicide loss survivors, including providers. We begin by briefly describing the widespread impact of suicide loss and the lack of suicide postvention education and awareness. Given the increased likelihood that providers will be touched by suicide loss, we then provide recommendations and resources to assist the provider in developing and/or enhancing suicide postvention practices.

Use of the acquired capability for suicide scale (ACSS) among United States military and Veteran samples: A systematic review.

BACKGROUND: Military personnel and Veterans are at increased risk for suicide. Theoretical and conceptual arguments have suggested that elevated levels of acquired capability (AC) could be an explanatory factor accounting for this increased risk. However, empirical research utilizing the Acquired Capability for Suicide Scale (ACSS) in military populations has yielded mixed findings. METHODS: To better ascertain what factors are associated with AC, and whether methodological limitations may be contributing to mixed findings, a systematic review was conducted. RESULTS: A total of 31 articles utilized the ACSS to examine factors associated with AC, including combat history, in United States (U.S.) military personnel and Veterans. Nearly all studies (96.8%) were rated high risk of bias. Use of the ACSS varied, with seven different iterations utilized. Nearly all studies examined correlations between the ACSS and sample characteristics, mental health and clinical factors, Interpersonal Theory of Suicide constructs, and/or suicide-specific variables. Results of higher-level analyses, dominated by cross-sectional designs, often contradicted correlational findings, with inconsistent findings across studies. LIMITATIONS: Included studies were non-representative of all U.S. military and Veteran populations and may only generalize to these populations. CONCLUSIONS: Due to the high risk of bias, inconsistent use of the ACSS, lack of sample heterogeneity, and variability in factors examined, interpretation of current ACSS empirical data is cautioned. Suggestions for future research, contextualized by these limitations, are discussed.

Sleep and timing of death by suicide among U.S. Veterans 2006-2015: analysis of the American Time Use Survey and the National Violent Death Reporting System.

STUDY OBJECTIVES: Suicide is a top public health priority, and U.S. Veterans are recognized to be at particularly elevated risk. Sleep disturbances are an independent risk factor for suicide; recent empirical data suggest that nocturnal wakefulness may be a key mechanism underlying this association. Given higher rates of sleep disturbances among U.S. Veterans compared with civilians, we examined associations between nocturnal wakefulness and timing of death by suicide in U.S. Veterans and civilians to determine whether temporal suicide patterns differed. METHODS: The American Time Use Survey and the National Violent Death Reporting System were analyzed (2006-2015) to determine whether sleep and temporal suicide patterns differed between age-stratified groups (18-39, 40-64, and ≥65) of U.S. Veterans and civilians. Observed temporal suicide patterns were reported and standardized incidence ratios (SIRs) calculated to compare the percentage of suicides observed with those expected, given the proportion of the population awake, across clock hours. RESULTS: The raw proportion of Veteran suicides peaks between the hours of 1000-1200; however, the peak prevalence of suicide after accounting for the population awake is between 0000 and 0300 hr (p < .00001, ϕ = .88). The highest SIR was at midnight; U.S. Veterans were eight times more likely to die by suicide than expected given the population awake (SIR = 8.17; 95% CI = 7.45-8.94). CONCLUSIONS: Nocturnal wakefulness is associated with increased risk for suicide in U.S. Veterans. Overall patterns of observed suicides by clock hour were similar between U.S. Veterans and civilians. However, Veteran-specific SIRs suggest differences in magnitude of risk by clock hour across age groups. Future research examining female and Post-9/11 U.S. Veterans is warranted.

Therapeutic Risk Management: Chain Analysis of Suicidal Ideation and Behavior.

Structural approaches to suicide risk assessment (eg, evaluating the frequency and intensity of suicidal ideation and classifying types of suicidal behavior) often fall short of providing an idiographic and dynamic analysis of the factors driving and maintaining an individual's suicide risk. Structural approaches can be bolstered through chain analysis which facilitates an exploration of the factors maintaining suicidal ideation and behavior based on positive and negative reinforcement. By uncovering the factors causing suicidal ideation and behavior to persist, efficient intervention strategies can be selected to target these pathways. In this column, the authors delineate the use of chain analysis to guide suicide risk assessment and inform treatment planning.

Veteran Participation in Intensive Suicide Research Protocols: No Evidence of Iatrogenic Effects.

Suicide research remains fraught with ethical and methodological issues, including researchers' reservations about conducting intensive suicide research protocols due to potential iatrogenic effects and liability concerns. Such issues significantly impede scientific inquiry related to suicide. To date, no research has explored potential iatrogenic effects of intensive, nontreatment suicide research among Veterans. This study aimed to fill this gap. It was hypothesized that participation in suicide-specific protocols would not significantly increase risk among Veterans. Veterans completed self-reports, structured interviews, and rigorous suicide-specific tasks (Study A, N = 34; Study B, N = 18; Study C, N = 119). Findings indicated there were no significant differences in pre- and postassessment suicide risk variables (all ps > .05). Estimated mean change for "urge to harm self" was -0.24 (95% confidence interval [CI]: -0.60, 0.13), -0.28 (CI: -0.56, 0.01), and -0.01 (CI: -0.09, 0.07) and "intent to harm self" was -0.18 (95% CI: -0.45, 0.10), 0 (CI: -0.17, 0.17), and 0.01 (CI: -0.04, 0.06) for Studies A, B, and C, respectively. Results indicated the respective protocols did not produce iatrogenic effects. The current findings are discussed with attention to safety-monitoring techniques that may reduce iatrogenic effects and considerations for future researchers.

Relationship between traumatic brain injury history and recent suicidal ideation in Iraq/Afghanistan-era veterans.

This study evaluated whether a history of traumatic brain injury (TBI) was associated with increased risk for recent suicidal ideation (SI) after accounting for demographics, depression, posttraumatic stress disorder (PTSD), and sleep quality. In terms of increased risk, we hypothesized that a history of lifetime TBI would be associated with increased recent SI when compared with no history of TBI; multiple injuries were also evaluated. The sample included Iraq and Afghanistan war-era veterans (n = 838) who served in the United States military since 9/2001 and completed a structured TBI interview. Approximately 50% reported a lifetime history of at least 1 TBI, and 17.9% met criteria for current major depressive disorder (MDD). SI over the past week per the Beck Scale for Suicide Ideation was the primary outcome. Demographics, current MDD and posttraumatic stress disorder (PTSD) per Structured Clinical Interview of DSM-IV Axis I Disorders, sleep quality per Pittsburgh Sleep Quality Index, and TBI history per structured interview were included in all statistical models. Current depression and poor sleep quality were consistently associated with recent SI. A history of any TBI history across the life span was not associated with increased recent SI (OR = 1.35, 95% CI [0.83, 2.19]). However, a history of multiple TBIs compared with no history of TBI was associated with increased recent SI (OR = 1.76, 95% CI [1.01, 3.06]). Results support the assertion than an accumulation of injuries amplifies risk. Severity of injury and deployment injuries were not significant factors. Among those with a history of 1 TBI, sleep, and depression, which may also be injury sequelae, may be salient treatment targets. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Developing Predictive Models to Enhance Clinician Prediction of Suicide Attempts Among Veterans With and Without PTSD.

The limitations of self-report confine clinicians' ability to accurately predict suicides and suicide attempts (SAs). Behavioral assessments (e.g., Death Implicit Association Test [IAT]) may be a means of supplementing self-report and clinician prediction. OBJECTIVE: The authors aimed to build and test a predictive model of SAs that included established risk factors and measures of suicide risk, and Death IAT scores. The authors also sought to test the predictive validity of the SA model among subgroups of Veterans with and without PTSD. METHOD: Participants included 166 psychiatrically hospitalized Veterans. RESULTS: A model that included patient prediction, age, and Death IAT scores improved upon clinician prediction of SAs during the six-month follow-up (C-statistic for clinician prediction = 73.6, 95% CI [62.9, 84.4] and C-statistic for model = 82.8, 95% CI [74.6, 91.0]). The model was tested in subgroups of Veterans with and without PTSD. Among Veterans without PTSD, the Death IAT and patient prediction predicted SAs above and beyond clinician prediction, while these variables did not significantly improve prediction among Veterans with PTSD (C-statistic for no-PTSD = 91.3, 95% CI [80.6, 1.00]; C-statistic for PTSD = 86.8, 95% CI [76.8, 96.8]). Building a separate model for Veterans with PTSD did not improve upon clinician prediction. CONCLUSIONS: Findings indicate that predictive models may bolster clinician prediction of SAs and that predictors may differ for Veterans with PTSD.

The Potential Perils of a Suicide-specific Diagnosis.

The clinical and scientific challenges inherent in treating and investigating suicide warrant novel approaches to this public health issue of paramount importance. The implementation of suicide-specific diagnoses has been proposed as one possible way to address this problem and was described in the first column of this special 2-part series. This second column explores potential unintended consequences related to such proposed diagnoses and alternative solutions that might afford greater benefits. The idea of suicide-specific diagnoses represents a novel approach, and one worthy of further discussion and consideration; the debate featured in this series represents a joint effort to advance the dialogue about suicide and to promote innovation.

Initial validation of the Self-Directed Violence Picture System (SDVPS).

A better understanding of factors that differentiate those who only experience suicidal ideation from those who engage in self-directed violence (SDV) is critical for suicide prevention efforts (Klonsky & May, 2014; May & Klonsky, 2016). To identify who is at greatest risk for death by suicide, it is imperative that new innovative assessment tools be created to facilitate behavioral measurement of key constructs associated with increased risk for SDV. The aim of the current study was to develop and validate a set of suicide-specific images, called the Self-Directed Violence Picture System (SDVPS), to help meet this need. A sample of 119 U.S. military veterans provided valence, arousal, and dominance ratings on the SDVPS. These ratings were compared to International Affective Picture System (IAPS) negative, neutral, and positive images. SDVPS images were rated with significantly greater negative valence and elicited decreased feelings of being in control than did IAPS positive (p < .001, p < .001), IAPS negative (p = .03, p = .001), and IAPS neutral (p < .001, p < .001) images. SDVPS images were also rated with significantly greater arousal than were IAPS neutral images (p < .001). Initial validation data support that the SDVPS images functioned as intended. Although continued validation of the SDVPS in other populations is necessary, the SDVPS may become a new tool by which researchers can begin to systematically and reliably examine reactions to suicide-related content using behavioral and/or experimental paradigms. (PsycINFO Database Record

Sleep onset insomnia, daytime sleepiness and sleep duration in relationship to Toxoplasma gondii IgG seropositivity and serointensity.

Toxoplasma gondii (T. gondii) infects central nervous tissue and is kept in relative dormancy by a healthy immune system. Sleep disturbances have been found to precipitate mental illness, suicidal behavior and car accidents, which have been previously linked to T. gondii as well. We speculated that if sleep disruption, particularly insomnia, would mediate, at least partly, the link between T. gondii infection and related behavioral dysregulation, then we would be able to identify significant associations between sleep disruption and T. gondii. The mechanisms for such an association may involve dopamine (DA) production by T. gondii, or collateral effects of immune activation necessary to keep T. gondii in check. Sleep questionnaires from 2031 Old Order Amish were analyzed in relationship to T. gondii-IgG antibodies measured by enzyme-linked immunosorbent assay (ELISA). Toxoplasma gondii seropositivity and serointensity were not associated with any of the sleep latency variables or Epworth Sleepiness Scale (ESS). A secondary analysis identified, after adjustment for age group, a statistical trend toward shorter sleep duration in seropositive men (p = 0.07). In conclusion, it is unlikely that sleep disruption mediates links between T. gondii and mental illness or behavioral dysregulation. Trending gender differences in associations between T. gondii and shorter sleep need further investigation.

Why Suicide Risk Assessment Still Matters.

Both public awareness of suicide and professional efforts directed at suicide prevention have increased considerably in recent years. Unfortunately, rates of death by suicide have remained relatively stable over the past decade despite these enhanced efforts. Some have argued that "suicide risk assessment doesn't work" and have called into question the utility of devoting clinical time and energy to risk assessment. In this column, the authors first present an overview of the argument against suicide risk assessment and the data supporting that argument, followed by an alternate argument as to why suicide risk assessment still matters. When properly performed in concert with patient-centered mental health care, suicide risk assessment and management may add to the therapeutic and recovery-oriented benefits of care, independent of the ability to predict death by suicide.