Profiles of Risk for Suicidal Behavior in Past and Current United States Military Personnel: Latent Profile Analysis of Current Risk Factors

Empirical clustering to identify individuals for whom insomnia is more closely related to suicidal ideation

BACKGROUND

Although the effect sizes are modest, insomnia is consistently associated with suicidal thoughts and behaviors. Subgroup analyses can efficiently identify for whom insomnia is most relevant to suicidal ideation. To improve clinical case identification, the present study sought to identify subclusters of lifetime suicidal ideators for whom insomnia was most closely related to current suicidal ideation.

METHODS

Data on N = 4750 lifetime suicidal ideators were extracted from the Military Suicide Research Consortium's Common Data Elements. Data on sociodemographic characteristics, severity and history of suicidal thoughts and behaviors, and related clinical characteristics were clustered by unsupervised machine learning algorithms. Robust Poisson regression estimated cluster by insomnia associations with current suicidal ideation.

RESULTS

Three clusters were identified: a modest symptom severity cluster (N = 1757, 37.0 %), an elevated severity cluster (N = 1444 30.4 %), and a high severity cluster (N = 1549 32.6 %). In Cluster 1, insomnia was associated with current suicidal ideation (PRR 1.29 [1.13-1.46]) and remained significant after adjusting for sociodemographic and clinical covariates. In Cluster 2, insomnia was associated with current suicidal ideation (PRR 1.14 [1.01-1.30]), but not after adjusting for sociodemographic and clinical covariates. In Cluster 3, insomnia was associated with current suicidal ideation (PRR 1.12 [1.03-1.21]) and remained significant after adjusting for sociodemographic covariates, but not clinical covariates.

LIMITATIONS

Cross-sectional design, lack of diagnostic data, non-representative sample.

CONCLUSION

Insomnia appears more closely related to current suicidal ideation among modest severity individuals than other subgroups. Future work should use prospective designs and more comprehensive risk factor measures to confirm these findings.

Mental health profiles of depressive symptoms and personal well-being among active-duty military families

Although some research has examined the mental health of individual family members in military families, additional research is needed that considers mental health among multiple members of the family system simultaneously and that characterizes subsets of families with distinct patterns. Mental health patterns of depressive symptoms and well-being in and among families were identified using latent profile analysis with a community sample of 236 military families with a service member (SM) parent, civilian partner, and adolescent. Drawing from the Family Adjustment and Adaptation Response model, we examined several military-related family demands (e.g., relocations, deployments) and capabilities (e.g., family cohesion, social support outside the family) as correlates of the family profiles. Three profiles emerged: thriving families (62.3% of the sample where all three family members reported relatively low depressive symptoms and high personal well-being), families with a relatively distressed SM (24.2%), and families with a relatively distressed adolescent (13.5%). Overall, there were no differences between the groups of families regarding military-related demands, yet there were differences between the groups regarding their capabilities, namely family cohesion and social support. In general, families in the thriving profile tended to have higher family cohesion and social support as reported by multiple family members compared to the other two profiles. Findings can inform the development of family needs assessments and tailored interventions (and intervention points) based on family profiles and current capabilities.

Reporting Ethical Procedures in Suicide Prevention Research: Current Status and Recommendations

OBJECTIVE

Ethical concerns frequently arise in suicide prevention research regarding participant safety and confidentiality. Despite a substantial literature on managing and navigating ethical concerns in suicide research, little attention has been paid to the reporting of ethical procedures. Furthermore, standard procedures for reporting ethical risk management procedures have not been developed.

METHOD

A review of the current literature was performed to examine the current state of reporting of ethical procedures within suicide research. Articles published in 2020 (N = 263) from three suicide-focused publications were screened and then coded (n = 131) to identify reporting of procedures for the ethical conduct of research and suicide risk management steps taken by the research teams.

RESULTS

The majority of articles reported ethical review or approval (84.7%) and reported the use of an informed consent process (77.9%). Only 28.2% included risk mitigation procedures. Of those 29.7% of those articles reported conducting risk evaluation, 66.7% reported resource dissemination, and 51.4% reported an intervention.

CONCLUSION

As empirical support for brief interventions accrues, suicide prevention researchers should consider establishing standards for the reporting of procedures to ensure the safety of participants with suicidal risk.HighlightsReporting suicide safety protocols helps ensure high ethical standards in research.Fewer than 1/3 of articles reviewed reported risk mitigation procedures in 2020.Standard procedures for reporting safety protocols in suicide research are needed.

A latent class analysis using the integrated motivational-volitional model of suicidal behaviour: Understanding suicide risk over 36 months

BACKGROUND

The use of latent class analysis (LCA) to understand suicide risk is often not guided by theoretical frameworks. This study used the Integrated Motivational-Volitional (IMV) Model of Suicidal Behaviour to inform the classification of subtypes of young adults with a suicidal history.

METHODS

Data from young adults in Scotland (n = 3508) were used in this study including a subgroup of participants (n = 845) with a history of suicidality. LCA using risk factors from the IMV model was conducted on this subgroup, and the subgroups and non-suicidal control group were compared. Trajectories of suicidal behaviour over 36 months was compared between the classes.

RESULTS

Three classes were identified. Class 1 (62 %) had low scores on all risk factors, Class 2 (23 %) had moderate scores, and Class 3 (14 %) had high scores on all risk factors. Those in Class 1 had a stable low risk of suicidal behaviour, while those in Class 2 and 3 showed marked variation over time, although Class 3 had the highest risk across all timepoints.

LIMITATIONS

The rate of suicidal behaviour in the sample was low, and differential dropout may have impacted the findings.

CONCLUSIONS

These findings suggest that young adults can be classified into different profiles based on suicide risk variables derived from the IMV model, which still distinguishes them 36 months later. Such profiling may help determining who is most at risk for suicidal behaviour over time.

Risks of suicide in migraine, non-migraine headache, back, and neck pain: a systematic review and meta-analysis

Objective

To conduct a systematic review and meta-analysis on suicidal ideation, attempts, and death in patients with head, neck, and back pain.

Method

Search was performed using PubMed, Embase, and Web of Science from the date of the first available article through September 31, 2021. A random effects model was used to estimate the pooled odds ratios (ORs) and 95% confidence intervals (95% CI) for the association between suicidal ideation and/or attempt and head, back/neck pain conditions. Articles describing non-migraine headache disorders and death by suicide were also reviewed but not included in the meta-analysis due to an insufficient number of studies.

Results

A total of 20 studies met criteria for systemic review. A total of 186,123 migraine patients and 135,790 of neck/back pain patients from 11 studies were included in the meta-analysis. The meta-analysis showed that the estimated risk of combined suicidal ideation and attempt in migraine [OR 2.49; 95% CI: 2.15-2.89] is greater than that in back/neck pain pain [OR 2.00; 95% CI: 1.63-2.45] compared to non-pain control groups. Risk of suicide ideation/planning is 2 folds higher [OR: 2.03; 95% CI: 1.92-2.16] and risk of suicide attempt is more than 3 folds higher [OR: 3.47; 95% CI: 2.68-4.49] in migraine as compared to healthy controls.

Conclusion

There is an elevated risk of suicidal ideation and attempt in both migraine and neck/back pain patients in comparison to healthy controls, and this risk is particularly higher among migraine patients. This study underscores the critical need for suicide prevention in migraine patients.

Insomnia and the Interpersonal Theory of suicide among civilians, service members, and veterans

BACKGROUND

Insomnia is associated with suicide risk in civilian and military populations. Thwarted belongingness is proposed as a mediator of this relationship under the Interpersonal Theory of Suicide (IPTS). The present study explored how insomnia relates to suicidal ideation in conjunction with thwarted belongingness among civilians, Service members, and Veterans.

METHODS

Data from the Military Suicide Research Consortium for N = 6556 individuals (6316 with non-missing suicidal ideation status) were divided into 4 subgroups: civilians, never deployed Service members, previously deployed Service members, and Veterans. Robust Poisson models evaluated the associations between insomnia severity/subtype and current suicidal ideation, with bootstrap mediation models assessing thwarted belongingness as a mediator.

RESULTS

A 5-point increase in insomnia severity was associated with a 38% increased risk for current suicidal ideation among civilians, a 56% greater risk among never deployed Service members, an 83% greater risk among previously deployed Service members, and a 37% greater risk among Veterans. Moreover, active Service members showed greater associations between difficulty falling asleep and staying asleep with suicidal ideation than civilians. These associations were independent of covariates and only mediated by thwarted belongingness among Veterans.

CONCLUSIONS

The relationship between insomnia and suicide is not purely explained by thwarted belongingness except among Veterans. Future research should explore additional psychological and neurobiological mechanisms connecting insomnia and suicidality.

Profiles of patients using emergency departments or hospitalized for suicidal behaviors

OBJECTIVES

This study identified profiles of patients with suicidal behaviors, their sociodemographic and clinical correlates, and assessed the risk of death within a 12-month follow-up period.

METHODS

Based on administrative databases, this 5-year study analyzed data on 5064 patients in Quebec who used emergency departments (ED) or were hospitalized for suicidal behaviors over a 2-year period. Latent class analysis was used for patient profiles, bivariate analysis for patient correlates over 2 years, and survival analysis for risk of death within a 12-month follow-up.

RESULTS

Four profiles were identified: high suicidal behaviors and high service use (Profile 1: 23%); low suicidal behaviors and moderate service use (Profile 2: 46%); low suicidal behaviors and low service use (Profile 3: 25%); and high suicidal behaviors and high acute care, but low outpatient care (Profile 4: 6%). Profiles 1 and 4 patients had more serious conditions, with a higher risk of death in Profile 1 versus Profiles 2 and 3. Profile 2 patients had relatively more common mental disorders, and Profile 3 patients had less severe conditions. Profiles 3 and 4 included more men and younger patients.

CONCLUSION

Programs better adapted to patient profiles should be deployed after ED use and hospitalization in coordination with outpatient services.

Characteristics of suicide attempts associated with lethality and method: A latent class analysis of the Military Suicide Research Consortium

While suicide prevention is a national priority, particularly among service members and veterans (SMVs), understanding of suicide-related outcomes remains poor. Person-centered approaches (e.g., latent class analysis) have promise to identify unique risk profiles and subgroups in the larger population. The current study identified latent subgroups characterized by prior self-directed violence history and proximal risk factors for suicide among suicide attempt survivors, and compared subgroups on demographics and most-lethal attempt characteristics. Participants included civilians and SMVs reporting lifetime suicide attempt(s) (n = 2643) from the Military Suicide Research Consortium. Two classes emerged from Common Data Elements: suicide attempt and non-suicidal self-injury frequency, suicide attempt method, perceived likelihood of future suicide, suicide disclosure, suicide intent, and perceived and actual lethality of attempt. A Higher-Risk History class was characterized by greater intent to die, certainty about attempt fatality and method lethality, belief injury would be medically unfixable, and likelihood of prior non-suicidal self-injury. A Lower-Risk History class was characterized by greater ambivalence toward death and methods. Higher-Risk class members were more likely to be male, older, SMVs, have less formal education, use firearms as most-lethal attempt method, and require a higher degree of medical attention. Lower-Risk class members were more likely to be female, civilian, use cutting as most-lethal attempt method, and require less medical attention for attempts. Findings have implications for risk assessments and highlight the importance of subjective perceptions about suicidal behavior. Further investigation of real-time individual-level is necessary, especially for SMVs who may be at greatest risk for potentially lethal suicidal behavior.