Daily sleepiness magnifies the relation between same-day passive and active suicide ideation.

Disrupted sleep has been linked to suicidal thoughts and behavior. Less is known, however, about the underlying mechanisms of this relationship. A more nuanced understanding of the link between sleep and suicide may help inform treatment decisions and the development of prevention and intervention strategies. The present study examined daily average sleepiness as a moderator to the relation between same-day passive and active suicide ideation (SI). Fifty-nine young adults (mean age = 21.04; SD = 2.22) endorsing SI at least twice in the two weeks prior to baseline completed 3-5 daily surveys of sleepiness and SI over 2 weeks as part of a broader study. Across several indicators of sleepiness (desire to stay awake, desire to fall asleep), passive SI (desire to die, desire to live), and active SI (occurrence, intensity, duration, and controllability), the overall findings demonstrated that daily average sleepiness magnified the relation between same-day passive SI and active SI severity. These findings indicate that being sleepier than usual may increase the likelihood that passive SI transitions to active SI. Future research is needed to test the causal influence of sleepiness on this transition.

Difficulties with emotion regulation within PTSD clusters and moral injury subtypes.

Treatment and research centered on trauma-related mental health issues have largely focused on posttraumatic stress disorder (PTSD); however, moral injury is another important mental health concern requiring attention. There is a paucity of research examining how PTSD and moral injury affect emotion regulation. The current investigation examined how PTSD clusters and moral injury subtypes were uniquely associated with difficulties with emotion regulation. Participants consisted of 253 previously deployed military personnel who were recruited online. To be included in the study, participants had to verify that they had served in the U.S. Military, had been deployed as part of their military service, and endorsed elevated levels of symptoms associated with PTSD and/or moral injury. A hierarchical linear regression was conducted to examine the association between PTSD symptom clusters, moral injury subtypes, and difficulties with emotion regulation. Results indicated that alterations in arousal and reactivity was the only PTSD symptom cluster associated with difficulties with emotion regulation. Self-transgressions was the only facet of moral injury significantly associated with difficulties with emotion regulation. This is the first study to examine the association between emotion dysregulation, PTSD symptom clusters, and moral injury in previously deployed U.S. Military.

Relationship of insomnia to sexual function and sexual satisfaction: Findings from the sleep and sex survey II.

OBJECTIVE: Research suggests that healthy sleep is a key component of sexual function. When evaluating sexual function, however, poor sleep is often overlooked as a contributing factor. This cross-sectional survey expands prior work by exploring relationships among insomnia severity, sexual satisfaction, and sexual function with an updated battery of measures for the Sleep and Sex Survey. METHOD: The sample (N = 1266) consisted of 618 men, 648 women recruited via Prolific, an online survey platform. The Sleep and Sex Survey II included measures addressing insomnia, fear of sleep, nightmares, sexual function, sexual satisfaction, sexual activity, depression, anxiety, posttraumatic stress, and alcohol use. RESULTS: Recent sexual activity was correlated with better sleep, lower anxiety, and lower scores on a posttraumatic stress disorder screener. Insomnia severity was negatively correlated with sexual satisfaction (r = 0.22, p < .001) and the presence of insomnia was associated with higher rates of sexual dysfunction in women (53.8% vs. 31.8%; p < .001) and men (22.7% vs. 12.5%; p = .036). In regression analyses, after accounting for depression and anxiety, insomnia had a statistically significant association with sexual function for women (ß = 0.12; p < .01) but not men (ß = 0.11; p = .60). CONCLUSION: Findings support a relationship of insomnia to sexual function and satisfaction with some gender differences. Future work may be enhanced by assessing these relationships in a gender diverse population including objective sleep measures and addressing contributing mechanisms. Clinically, findings support the assessment of sleep when evaluating patients for sexual dysfunction.

Cognitive behavioral therapy for insomnia treatment attrition in patients with weekly nightmares.

STUDY OBJECTIVES: This study's objective was to evaluate the effect of nightmares (NMs) on attrition and symptom change following cognitive behavioral therapy for insomnia (CBT-I) treatment using data from a successful CBT-I randomized controlled trial delivered to participants with recent interpersonal violence exposure. METHODS: The study randomized 110 participants (107 women; mean age: 35.5 years) to CBT-I or to an attention-control group. Participants were assessed at 3 time periods: baseline, post-CBT-I (or attention control), and at time 3 (T3) post-cognitive processing therapy received by all participants. NM reports were extracted from the Fear of Sleep Inventory. Participants with weekly NMs were compared with those with fewer than weekly NMs on outcomes including attrition, insomnia, posttraumatic stress disorder, and depression. Change in NM frequency was examined. RESULTS: Participants with weekly NMs (55%) were significantly more likely to be lost to follow-up post-CBT-I (37%) compared with participants with infrequent NMs (15.6%) and were less likely to complete T3 (43%) than patients with less frequent NMs (62.5%). NMs were unrelated to differential treatment response in insomnia, depression, or posttraumatic stress disorder. Treatment with CBT-I was not associated with reduced NM frequency; however, change in sleep-onset latency from post-CBT-I to T3 predicted fewer NMs at T3. CONCLUSIONS: Weekly NMs were associated with attrition but not a reduced change in insomnia symptoms following CBT-I. NM symptoms did not change as a function of CBT-I, but change in sleep-onset latency predicted lower NM frequency. CBT-I trials should screen for NMs and consider augmenting CBT-I to specifically address NMs. CITATION: Hamilton NA, Russell JA, Youngren WA, et al. Cognitive behavioral therapy for insomnia treatment attrition in patients with weekly nightmares. J Clin Sleep Med. 2023;19(11):1913-1921.

A two-phase, prescriptive comparative effectiveness study to optimize the treatment of co-occurring insomnia and depression with digital interventions.

BACKGROUND: Insomnia and depression frequently co-occur. Significant barriers preclude a majority of patients from receiving first line treatments for both disorders in a sequential treatment episode. Although digital versions of cognitive behavioral therapy for insomnia (CBTI) and for depression (CBTD) hold some promise to meet demand, especially when paired with human support, it is unknown whether heterogeneity of treatment effects exist, such that some patients would be optimally treated with single or sequential interventions. OBJECTIVE: Describe the protocol for a two-phase, prescriptive comparative effectiveness study to develop and evaluate an individualized intervention rule (IIR) for prescribing the optimal digital treament of co-occurring insomnia and depression. METHODS: The proposed sample size is 2300 U.S. military veterans with insomnia and depression recruited nationally (Phase 1 = 1500; Phase 2 = 800). In each phase, the primary endpoint will be remission of both depression and insomnia 3 months following a 12-week intervention period. Phase 1 is a 5-arm randomized trial: two single digital interventions (CBT-I or CBT-D); two sequenced interventions (CBT-I + D or CBT-D + I); and a mood monitoring control condition. A cutting-edge ensemble machine learning method will be used to develop the IIR. Phase 2 will evaluate the IIR by randomizing participants with equal allocation to either the IIR predicted optimal intervention for that individual or by randomization to one the four CBT interventions. RESULTS: Study procedures are ongoing. Results will be reported in future manuscripts. CONCLUSION: The study will generate evidence on the optimal scalable approach to treat co-occurring insomnia and depression.

Evaluation of a Model to Target High-risk Psychiatric Inpatients for an Intensive Postdischarge Suicide Prevention Intervention.

Importance: The months after psychiatric hospital discharge are a time of high risk for suicide. Intensive postdischarge case management, although potentially effective in suicide prevention, is likely to be cost-effective only if targeted at high-risk patients. A previously developed machine learning (ML) model showed that postdischarge suicides can be predicted from electronic health records and geospatial data, but it is unknown if prediction could be improved by adding additional information. Objective: To determine whether model prediction could be improved by adding information extracted from clinical notes and public records. Design, Setting, and Participants: Models were trained to predict suicides in the 12 months after Veterans Health Administration (VHA) short-term (less than 365 days) psychiatric hospitalizations between the beginning of 2010 and September 1, 2012 (299 050 hospitalizations, with 916 hospitalizations followed within 12 months by suicides) and tested in the hospitalizations from September 2, 2012, to December 31, 2013 (149 738 hospitalizations, with 393 hospitalizations followed within 12 months by suicides). Validation focused on net benefit across a range of plausible decision thresholds. Predictor importance was assessed with Shapley additive explanations (SHAP) values. Data were analyzed from January to August 2022. Main Outcomes and Measures: Suicides were defined by the National Death Index. Base model predictors included VHA electronic health records and patient residential data. The expanded predictors came from natural language processing (NLP) of clinical notes and a social determinants of health (SDOH) public records database. Results: The model included 448 788 unique hospitalizations. Net benefit over risk horizons between 3 and 12 months was generally highest for the model that included both NLP and SDOH predictors (area under the receiver operating characteristic curve range, 0.747-0.780; area under the precision recall curve relative to the suicide rate range, 3.87-5.75). NLP and SDOH predictors also had the highest predictor class-level SHAP values (proportional SHAP = 64.0% and 49.3%, respectively), although the single highest positive variable-level SHAP value was for a count of medications classified by the US Food and Drug Administration as increasing suicide risk prescribed the year before hospitalization (proportional SHAP = 15.0%). Conclusions and Relevance: In this study, clinical notes and public records were found to improve ML model prediction of suicide after psychiatric hospitalization. The model had positive net benefit over 3-month to 12-month risk horizons for plausible decision thresholds. Although caution is needed in inferring causality based on predictor importance, several key predictors have potential intervention implications that should be investigated in future studies.

Agreement between actigraphy and sleep diaries: A 28-day real-time monitoring study among suicidal adolescents following acute psychiatric care.

OBJECTIVE: To examine the agreement between, and adherence to, wrist actigraphy and digital sleep diaries as methods for sleep assessment among high-risk adolescents in the 28 days following discharge from acute psychiatric care. Sleep parameters included: number of nighttime awakenings (NWAK), sleep efficiency (SE), sleep onset latency (SOL), total sleep time (TST), and wake after sleep onset (WASO). METHODS: Fifty-three adolescents (12-18 years) were recruited following discharge from acute psychiatric care for suicide risk. Adolescents completed a baseline assessment followed by a 28-day monitoring period with daily sleep diaries and continuous wrist actigraphy. Bland-Altman and multi-level models examined agreement. RESULTS: Adherence to actigraphy was high, but lower for sleep diaries; a similar pattern of adherence emerged on weekdays vs. weekends. Bland-Altman analyses revealed no clinically meaningful bias for sleep parameters (except NWAK), but the limits of agreement make interpretation ambiguous. Our base model indicated strong agreement between actigraphy and sleep diaries for TST (r = 0.850), moderate for SOL (r = 0.325) and SE (r = 0.322), and weak for WASO (r = -0.049) and NWAK (r = 0.114). A similar pattern emerged with the insomnia severity models with baseline insomnia influencing agreement on all parameters. There were significant weekday-weekend differences for WASO and NWAK, but not for SOL, SE, and TST. CONCLUSION: Results suggest that it may be beneficial to find a modeling approach to account for the concordant and discordant information and relevant time-level variables.

Chaplains' perspectives on standardizing spiritual assessments.

Chaplains are an integral part of mental health treatment within the Veterans Health Administration (VHA) and over the past decade, efforts have been made to integrate chaplain services into behavioral health treatment. One unique duty of chaplains is to conduct spiritual assessments, which are characterized as collaborative discussions with veterans to understand their overall religious and belief system, identify spiritual injuries, and how to integrate one's spiritual values into medical care. Although spiritual assessments in Veterans Affairs Medical Centers have evolved throughout the years to adopt a more structured approach, spiritual assessments can vary depending on site, clinical setting, and medical center. The present study sought to examine chaplains' perspectives on standardizing spiritual assessments and incorporating empirically validated measures into the assessments. Thematic analysis was conducted on two focus groups of chaplains from a large VHA medical center. Overall, chaplains appeared interested in standardizing spiritual assessments, with an expressed desire to maintain their current conversational format. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Feasibility of using moral injury screening instruments in VA chaplaincy spiritual assessments.

Some veterans experience symptoms of moral injury after being exposed to the ethical and moral challenges associated with military service. While it is well known that moral injury is associated with an increased risk for suicide as well as other mental health concerns, few tools exist to systematically screen for moral injury in chaplaincy settings. This preliminary study examines the psychometric properties as well as feasibility of applying two new moral injury screening tools that could be used with routine spiritual assessments, purposefully designed to assess for moral injury in chaplaincy settings at Department of Veterans Affairs (VA) Medical Centers. The results provide preliminary psychometric evidence to support the reliability and validity of these two new screening tools, which were shown to be feasible for use in VA chaplaincy settings.

A Randomized Clinical Trial of Cognitive-Behavioral Therapy for Insomnia to Augment Posttraumatic Stress Disorder Treatment in Survivors of Interpersonal Violence.

INTRODUCTION: Individuals exposed to interpersonal violence (IPV) commonly develop posttraumatic stress disorder (PTSD) with co-occurring depression and insomnia. Standard PTSD interventions such as cognitive processing therapy (CPT) do not typically lead to remission or improved insomnia. Cognitive behavioral therapy for insomnia (CBTi) improves insomnia in individuals with PTSD, but PTSD severity remains elevated. OBJECTIVE: To determine whether sequential treatment of insomnia and PTSD is superior to treatment of only PTSD. METHODS: In a 20-week trial, 110 participants exposed to IPV who had PTSD, depression and insomnia were randomized to CBTi followed by CPT or to attention control followed by CPT. Primary outcomes following CBTi (or control) were the 6-week change in score on the Insomnia Severity Index (ISI), the Clinician-Administered PTSD Scale (CAPS), and the Hamilton Rating Scale for Depression (HAM-D). Primary outcomes following CPT were the 20-week change in scores. RESULTS: At 6 weeks, the CBTi condition had greater reductions in ISI, HAM-D, and CAPS scores than the attention control condition. At 20 weeks, participants in the CBTi+CPT condition had greater reductions in ISI, HAM-D, and CAPS scores compared to control+CPT. Effects were larger for insomnia and for depression than for PTSD. Similar patterns were observed with respect to clinical response and remission. A tipping point sensitivity analyses supported the plausibility of the findings. CONCLUSIONS: The sequential delivery of CBTi and CPT had plausible, significant effects on insomnia, depression, and PTSD compared to CPT alone. The effects for PTSD symptoms were moderate and clinically meaningful.

Pain intensity trajectories among veterans seeking mental health treatment: Association with mental health symptoms and suicidal thoughts and behaviors.

BACKGROUND: The purpose of this study was to identify classes of pain intensity trajectories among veterans reporting suicidal ideation with no prior mental health treatment experience. We were interested in also assessing factors associated with the pain trajectory classes. METHODS: A total 747 participants completed measures of pain, depression, suicide ideation and behaviors, insomnia, substance use, and PTSD. Follow-up assessments were completed at 1-, 3-, 6-, and 12-months post-baseline. Growth mixture modeling was conducted, and pain trajectories were modeled from baseline to month 12. RESULTS: Three classes were identified: mild pain intensity that increased over time to severe pain intensity (Increasing-Severe; n = 9), low pain intensity that decreased over time (Mild-Decreasing; n = 172), and moderate pain intensity that remained relatively stable over time (Moderate-Stable; n = 566). The Moderate-Stable trajectory had more severe PTSD symptoms, more frequent depression symptoms, and more severe insomnia. The odds of endorsing suicide ideation at month 12 were significantly higher in the Moderate-Stable trajectory compared to the Mild-Decreasing trajectory. CONCLUSIONS: This was the first study to assess classes of pain intensity trajectories among individuals who were treatment naïve for mental health issues. The findings suggest that a moderate stable trajectory of pain intensity over the course of 12 months is common and associated with a more severe clinical profile, including suicide ideation. This study underscores the importance of addressing pain intensity among individuals seeking mental health treatment, particularly for those with pain intensity that is moderate and stable over time.

Pain Conditions and Suicide Attempts in Military Veterans: A Case-Control Design.

OBJECTIVE: Specific pain conditions such as back pain and migraines are associated with increased risk of suicide mortality after accounting for key covariates. The purpose of the current study was to assess the associations of specific pain conditions with suicide attempts. DESIGN: Case-control. SETTING: Veterans Health Administration (VHA). SUBJECTS: Individuals who utilized VHA services with a record of a suicide attempt (N = 30,051) in Fiscal Years 2013 and 2014 were identified and propensity score matched with controls with no such record (N = 30,051). METHODS: Data on pain condition diagnoses (back pain, arthritis, migraine, headaches, psychogenic pain, neuropathy, fibromyalgia) psychiatric diagnoses, medical comorbidity, and demographics were extracted from VHA medical record and suicide surveillance datasets. RESULTS: Unadjusted logistic regression analyses found that each of the pain conditions were associated with suicide attempts (e.g., back pain: Odds ratio [OR]=3.25, 95% Confidence Interval [CI]=3.12-3.39). After adjusting for mental health conditions, medical comorbidity, and each of the pain conditions, the effects were attenuated across pain conditions; however, remained significant for each of the pain conditions except for fibromyalgia. Specifically, back pain (OR = 1.25, 95% CI = 1.19-1.32), migraines (OR = 1.29, 95% CI = 1.14-1.46), headaches (OR = 1.33, 95% CI = 1.19-1.48), and neuropathic pain (OR = 1.52, 95% CI = 1.33-1.74) were each associated with increased odds of a suicide attempt. Fibromyalgia was the only pain condition associated with re-attempt status (OR = 1.25, 95% CI = 1.08-1.45). CONCLUSIONS: Specific pain conditions are associated with increased odds of suicide attempts even after including key covariates. LIMITATIONS: Limitations of the study include the retrospective study design and lack of examination into additional variables including prescription opioid use, pain intensity, and pain duration. The case-control design also limits the ability to draw causal or temporal conclusions.

Understanding Moral Injury Morbidity: A Qualitative Study Examining Chaplain's Perspectives.

Moral injury tends to be conceptualized through an interplay of psychological and religious concerns. Recent qualitative research has begun utilizing chaplains to bolster the understanding of moral injury within veterans. The current study examined qualitative data regarding how moral injury is viewed through the lens of Chaplain Services within the Veterans Health Administration (VA). Specifically, chaplains were asked to describe how moral injury presents, what kinds of complaints veterans voice with regard to moral injury, and how moral injury impacts social functioning. Chaplains highlighted how moral injury is a pervasive issue affecting veterans across multiple domains. Clinical implications discussed further.

The Relationship Between Pain Severity, Insomnia, and Suicide Attempts Among a National Veteran Sample Initiating Pain Care.

OBJECTIVE: We assessed the longitudinal association of suicide attempts by moderate to severe pain and insomnia before and after the initiation of pain services among veterans. METHODS: A cohort of 221,817 veterans initiating pain care was divided into four subgroups: a) no/mild pain + no insomnia (LowPain-NoINS), b) no/mild pain + insomnia (LowPain-INS), c) moderate/severe pain + no insomnia (HighPain-NoINS), and d) moderate/severe pain + insomnia (HighPain-INS). Data on diagnoses, pain severity, demographics, medications, and suicide attempts were extracted from Veterans Health Administration data sets. RESULTS: Overall, there were 2227 (1.0%) suicide attempts before initiating pain services and 1655 (0.8%) after initiating pain services. Cox proportional hazard models accounting for key covariates revealed that patients in the HighPain-INS group were significantly more likely to attempt suicide in the year after the initiation of pain services relative to all subgroups (versus LowPain-NoINS: hazard ratio [HR] = 1.44, 95% confidence interval [CI] = 1.21-1.72; versus LowPain-INS: HR = 1.71, 95% CI = 1.23-2.38; versus HighPain-NoINS: HR = 1.17, 95% CI = 1.01-1.34) even after accounting for prior attempts. Adjusted logistic regression analyses found that patients with moderate/severe pain and insomnia had higher odds of attempting suicide in the year before initiating pain services compared to all subgroups (versus LowPain-NoINS: HR = 1.75, 95% CI = 1.50-2.05; versus LowPain-INS: HR = 1.41, 95% CI = 1.09-1.82; versus HighPain-NoINS: HR = 1.21, 95% CI = 1.07-1.37). CONCLUSIONS: These results suggest that those with both moderate/severe pain and insomnia are more likely to have a history of suicide attempts and are at greater risk of a suicide attempt relative to those with insomnia with low/mild pain and those with moderate/severe pain with no insomnia. Suicide prevention efforts for chronic pain and insomnia could address pain and insomnia within the same intervention or in parallel.

Why Treat Insomnia?

"Why treat insomnia?" This question grows out of the perspective that insomnia is a symptom that should only receive targeted treatment when temporary relief is needed or until more comprehensive gains may be achieved with therapy for the parent or precipitating medical or psychiatric disorders. This perspective, however, is untenable given recent data regarding the prevalence, course, consequences, and costs of insomnia. Further, the emerging data that the treatment of insomnia may promote better medical and mental health (alone or in combination with other therapies) strongly suggests that the question is no longer "why treat insomnia," but rather "when isn't insomnia treatment indicated?" This perspective was recently catalyzed with the American College of Physicians' recommendation that chronic insomnia should be treated and that the first line treatment should be cognitive-behavioral therapy for insomnia (CBT-I).

Initial Session Effects of Brief Cognitive Behavioral Therapy for Insomnia: A Secondary Analysis of A Small Randomized Pilot Trial.

Objective/Background: While cognitive-behavioral therapy for insomnia (CBT-I) is typically delivered over six-eight sessions, the field has introduced ever briefer versions. We examined session by session effects on both insomnia and depression outcomes in a brief, four-session version of CBT-I.Participants: This is a secondary analysis of data drawn from participants randomized to brief cognitive behavioral therapy for insomnia (bCBTi) in a pilot clinical trial. All participants (n = 19) were veterans enrolled in primary care who screened positive for insomnia and co-occurring PTSD and/or depression.Methods: Participants received four, weekly, individual sessions of bCBTi during which they provided self-report data on insomnia, depression, and sleep parameters over the preceding week. Baseline and follow-up assessments were also collected.Results: Changes in insomnia and depression severity between baseline and the beginning of session one were non-significant. Statistically significant decreases were observed, however, for insomnia severity between sessions one to two (g = -.65) and sessions two to three (g = -.59). This pattern was mirrored for depression severity with significant decreases between sessions one and two (g = -.65) and sessions two to three (g = -.68). However, there was little change for either outcome from session three to session four (insomnia g = -.16; depression g = -.14).Conclusions: This session by session analyses of bCBTi revealed that the majority of the treatment effect occurred over the first two sessions. Findings suggest that even brief interventions addressing insomnia may have a positive impact on both insomnia and co-occurring depression.

Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System.

There is a very high suicide rate in the year after psychiatric hospital discharge. Intensive postdischarge case management programs can address this problem but are not cost-effective for all patients. This issue can be addressed by developing a risk model to predict which inpatients might need such a program. We developed such a model for the 391,018 short-term psychiatric hospital admissions of US veterans in Veterans Health Administration (VHA) hospitals 2010-2013. Records were linked with the National Death Index to determine suicide within 12 months of hospital discharge (n=771). The Super Learner ensemble machine learning method was used to predict these suicides for time horizon between 1 week and 12 months after discharge in a 70% training sample. Accuracy was validated in the remaining 30% holdout sample. Predictors included VHA administrative variables and small area geocode data linked to patient home addresses. The models had AUC=.79-.82 for time horizons between 1 week and 6 months and AUC=.74 for 12 months. An analysis of operating characteristics showed that 22.4%-32.2% of patients who died by suicide would have been reached if intensive case management was provided to the 5% of patients with highest predicted suicide risk. Positive predictive value (PPV) at this higher threshold ranged from 1.2% over 12 months to 3.8% per case manager year over 1 week. Focusing on the low end of the risk spectrum, the 40% of patients classified as having lowest risk account for 0%-9.7% of suicides across time horizons. Variable importance analysis shows that 51.1% of model performance is due to psychopathological risk factors accounted, 26.2% to social determinants of health, 14.8% to prior history of suicidal behaviors, and 6.6% to physical disorders. The paper closes with a discussion of next steps in refining the model and prospects for developing a parallel precision treatment model.

Opioid use disorders, psychiatric comorbidities, and risk for suicide attempts among veterans seeking pain care.

BACKGROUND: The purpose of this study was to assess the associations of comorbid opioid use disorders and psychiatric disorders with suicide attempts among veterans seeking pain care. METHODS: The cohort (N = 226 444) was selected by identifying pain care initiation from 2012 to 2014 using national Veterans Health Administration (VHA) data. Data on opioid use disorders (OUD), psychiatric disorders, medical comorbidity, demographics at baseline, and suicide attempts in the year following the initiation of pain care were extracted from VHA databases. Relative excess risk due to interaction (RERI) was used to assess departure from additivity of effects. RESULTS: Adjusted models indicated that both comorbid OUD and depression (RERI = 1.07) and comorbid OUD and AUD (RERI = 1.23) were significantly associated with additive risk of suicide attempt. In adjusted multiplicative interaction models, only comorbid OUD and bipolar disorder was significantly associated with suicide attempts; however, this association was protective (HR = 0.54). CONCLUSIONS: The current findings highlight the importance of addressing opioid use disorders and alcohol use disorders and depression together to mitigate the risk of suicidal behavior.

Sleep, suicide behaviors, and the protective role of sleep medicine.

OBJECTIVE/BACKGROUND: Sleep disturbance is associated with suicidal thoughts and behaviors. The relationship of specific sleep disorders to suicide attempts is less well established. Whether treating sleep disorders reduces suicide attempts remains controversial. METHODS: Suicide attempts, treatment utilization, and psychiatric diagnoses were extracted from electronic medical records and a suicide attempt database from the U.S. Department of Veterans Affairs. The sample (N = 60,102) consisted of patients with any record of suicide attempt in FY13-14 and a 1:1 case-control of patients with no record of attempt, who were propensity score-matched based on age, gender, and prior year mental health treatment utilization. Associations among sleep disorders and suicide attempt were examined via logistic regression. Covariates included depression, anxiety, posttraumatic stress disorder (PTSD), bipolar, schizophrenia, substance use disorder (SUD), medical comorbidity, and obesity. RESULTS: Insomnia (OR = 5.62; 95% CI, 5.39-5.86), nightmares (odds ratio, OR = 2.49; 95% confidence interval, CI, 2.23-2.77), and sleep-related breathing disorders (OR = 1.37; 95% CI, 1.27-1.48) were positively associated with suicide attempt after accounting for age, gender, treatment utilization, and comorbid sleep disorders. Furthermore, when controlling for depression, anxiety, PTSD, bipolar, schizophrenia, substance use disorder (SUD), medical comorbidity, and obesity, insomnia (OR = 1.51, 95% CI, 1.43-1.59) remained positively associated with suicide attempt nightmares (OR = 0.96; 95% CI, 0.85-1.09) nor sleep-related breathing disorders (OR = 0.87, 95% CI = 0.79-0.94). Additionally, sleep medicine visits 180 days prior to index date were associated with decreased likelihood of suicide attempt for individuals with sleep disorders (OR = 0.86; 95% CI, 0.79-0.94). CONCLUSION: Insomnia is associated with suicide attempt among veterans. Sleep medicine visits were associated with a reduced risk of suicide attempt in sleep disordered patients. The assessment and treatment of sleep disorders should be considered in context of strategies to augment suicide prevention efforts.

Sex differences in binge drinking and suicide attempts in a nationally representative sample.

OBJECTIVE: Prevalence of suicide continues to present a major public health problem, particularly among women. Identifying risk factors for suicide is vital to reduce the number of suicide deaths per year. Alcohol use is a well-known risk factor for suicidal behavior, but the association between binge drinking and suicide attempts across genders is less clear. METHODS: The current study used combined 2008-2014 National Survey on Drug Use and Health data (n = 269,078) to examine the association between binge drinking and suicidal ideation and suicide attempts across sex. RESULTS: Logistic regression analyses revealed that binge drinking was associated with suicide attempts in females (OR = 1.37, 95% CI: 1.09-1.73) but not in males (OR = 1.07, 95% CI: 0.80-1.43). Binge drinking was not associated with suicidal ideation in either males or females. CONCLUSIONS: Identifying and addressing binge drinking in women may be useful as part of a suicide prevention strategy.