Prediction of suicidal behavior in high risk psychiatric patients using an assessment of acute suicidal state: The suicide crisis inventory

Identifying momentary suicidal ideation using machine learning in patients at high-risk for suicide

BACKGROUND

Strategies to detect the presence of suicidal ideation (SI) or characteristics of ideation that indicate marked suicide risk are critically needed to guide interventions and improve care during care transition periods. Some studies indicate that machine learning can be applied to momentary data to improve classification of SI. This study examined whether the classification accuracy of these models varies as a function of type of training data or characteristics of ideation.

METHODS

A total of 257 psychiatric inpatients completed a 3-week battery of ecological momentary assessment and measures of suicide risk factors. The accuracy of machine learning models in classifying the presence, duration, or intensity of ideation was compared across models trained on baseline and/or momentary suicide risk data. Relative feature importance metrics were examined to identify the risk factors that were most important for outcome classification.

RESULTS

Models including both baseline and momentary features outperformed models with only one feature type, providing important information in both correctly classifying and differentiating individual characteristics of SI. Models classifying SI presence, duration, and intensity performed similarly.

LIMITATIONS

Results of this study may not generalize beyond a high-risk, psychiatric inpatient sample, and additional work is needed to examine temporal ordering of the relationships identified.

CONCLUSIONS

Our results support using machine learning approaches for accurate identification of SI characteristics and underscore the importance of understanding the factors that differentiate and drive different characteristics of SI. Expansion of this work can support use of these models to guide intervention strategies.

A Suicide Attempt Multicomponent Intervention Treatment (SAMIT Program): study protocol for a multicentric randomised controlled trial

BACKGROUND

Suicide has become a first-order public health concern, especially following the negative impact of COVID-19 on the mental health of the general population. Few studies have analysed the effects of early psychotherapeutic interventions on subjects who have attempted suicide, and even fewer have focused on those hospitalized in non-psychiatric units after a Medically Serious Suicide Attempt (MSSA). The main aim of this study is to describe the protocol designed to evaluate the effectiveness of individual psychological treatment for patients hospitalized after an MSSA. The secondary objectives of the study are: (1) to evaluate the impact on quality of life and other psychosocial variables of patients with a recent MSSA who receive early psychological intervention; (2) to analyse the biological, psychological, and clinical impact of early psychotherapeutic treatment on subjects hospitalized after an MSSA.

METHODS

A longitudinal randomised controlled trial will be conducted with patients over 16 years of age admitted to two general hospitals. The case intervention group will enrol for 8-sessions of individual psychotherapy, Suicide Attempts Multi-component Intervention Treatment (SAMIT), combining Dialectical Behaviour Therapy (DBT), Mentalization-Based Therapy (MBT), and Narrative approaches, while the control group will receive a treatment-as-usual intervention (TAU). Longitudinal assessment will be conducted at baseline (before treatment), post-treatment, and 3, 6, and 12 months after. The main outcome variable will be re-attempting suicide during follow-up.

DISCUSSION

Some psychotherapeutic interventions, usually implemented in outpatient, have proven to be effective in preventing suicidal behaviours. The combination of some of these may be a powerful treatment for preventing future SA in patients hospitalised after an MSSA, which is the most severely suicidal subgroup. Moreover, assessment of the biological, clinical and psychometric impact of this new intervention on patients during the first year after the attempt may help understand some of the multi-level factors associated with the effectiveness of psychotherapeutic interventions in MSSAs. The prevalence of high suicide rates requires the design of effective psychological interventions for their prevention, and also in order to design new pharmacological and psychological treatments.

TRIAL REGISTRATION

ClinicalTrials.gov ID: NCT06238414. Date of registration: 1st February 2024, final update is protocol version 3.0, 19th March 2024.

Suicide Risk Moderates the Relationship Between Stressful Life Events, the Suicidal Narrative, and the Suicide Crisis Syndrome: A Brazilian Cross-Sectional Study

BACKGROUND

Stressful life events are associated with higher odds of suicidal thoughts and behaviors. Furthermore, stressful life events can trigger specific symptoms, including the suicidal narrative and suicide crisis syndrome, resulting in an increased risk of suicidal thoughts and behaviors. This study examined the moderating role of suicide risk in the relationship between stressful life events, the suicidal narrative, and the suicide crisis syndrome.

METHODS

2,260 adults completed an online survey recruited through advertisements on social media. The level of emotional distress was assessed through the Suicide Narrative Inventory, Suicide Crisis Inventory-2, Stressful Life Events Questionnaire, and Mini International Neuropsychiatric Interview. The PROCESS macro (Hayes) was used to analyze the moderation models.

RESULTS

Stressful life events were positively correlated with the suicidal narrative and suicide crisis syndrome. The effects of stressful life events on suicidal narrative and suicide crisis syndrome were strongest when suicide risk was low and weakest when suicide risk was high.

CONCLUSIONS

These findings suggest that including stressful life events as part of suicide risk assessment in general and clinical settings is critical to managing treatment for suicidal thoughts and developing adaptive coping.

Intentions to use mental health and suicide prevention resources among individuals with symptoms of the suicide crisis syndrome and/or suicidal ideation

INTRODUCTION

The suicide crisis syndrome (SCS) has demonstrated efficacy in predicting suicide attempts, showing potential utility in detecting at-risk individuals who may not be willing to disclose suicidal ideation (SI). The present international study examined differences in intentions to utilize mental health and suicide prevention resources among community-based adults with varying suicide risk (i.e., presence/absence of SCS and/or SI).

METHODS

A sample of 16,934 community-based adults from 13 countries completed measures about the SCS and SI. Mental health and suicide prevention resources were provided to all participants, who indicated their intentions to use these resources.

RESULTS

Individuals with SCS (55.7%) were just as likely as those with SI alone (54.0%), and more likely than those with no suicide-related symptoms (45.7%), to report willingness to utilize mental health resources. Those with SI (both with and without SCS) were more likely to seek suicide prevention resources (52.6% and 50.5%, respectively) than those without SI (41.7% and 41.8%); however, when examining endorsements for personal use, those with SCS (21.6%) were more likely to use resources than individuals not at risk (15.1%).

CONCLUSIONS

These findings provide insight into individuals' willingness to use resources across configurations of explicitly disclosed (SI) and indirect (SCS) suicide risk.

Modeling the associations between emotion regulation, suicide crisis syndrome and suicidal behavior: Results in community and clinical samples

BACKGROUND

Emotion Regulation (ER) and Suicide Crisis Syndrome (SCS) are psychological processes involved in suicide. Within ER, both the use of rumination and dysfunctional emotion beliefs are associated with suicide. SCS, a pre-suicidal mental state involving cognitive and affective dysregulation, is related to short-term suicide risk.

AIMS

Here, we first examined associations between ER (beliefs about the uncontrollability of emotions and rumination), SCS and suicide behavior, and second, we test a multistep model in which ER factors are linked to suicide behavior through SCS.

MATERIALS & METHODS

We conducted two cross-sectional studies to address this issue by self-reports. Study 1 used a community sample (N = 421). Study 2 used a clinical sample (N = 70).

RESULTS

Results from both studies showed that beliefs about the uncontrollability of emotions and rumination were associated with higher levels of SCS symptoms and suicide behavior, and that SCS was associated with suicide behavior. In addition, path analyses showed that uncontrollability beliefs were linked to rumination, which in turn was associated with SCS, and this variable mediated the association between ER factors and suicide ideation (in both community and clinical samples) and suicide attempts (in the community sample).

DISCUSSION

As we expected, in both samples, uncontrollability of emotions and rumination were positively related with SCS and suicide behavior.

CONCLUSION

We emphasize the importance of addressing uncontrollability beliefs and rumination in suicide prevention.

The role of interpersonal stressors and connectedness in acute suicide risk and the suicide crisis syndrome during the COVID-19 pandemic

BACKGROUND

The global COVID-19 pandemic rapidly and drastically impacted everyday life and relationships. Fear of contracting and spreading the virus brought governments and individuals to adopt strict social distancing measures. These changes have had a significant negative impact on mental health, including a suggested increase in suicidal behaviors. The present study examined the role of interpersonal stress and connectedness in suicidal ideation, deliberate self-harm, suicide attempts, and the suicide crisis syndrome during the COVID-19 pandemic.

METHODS

An international sample of 7837 adult participants was recruited across ten participating countries to complete an anonymous online battery of self-report questionnaires. Questionnaires assessed suicide-related outcomes, stressful life events (SLE), and connectedness. Multilevel regression analyses were used to examine the associations between SLE and connectedness on suicide-related outcomes within the past month.

RESULTS

Interpersonal SLEs and low connectedness were associated with an increased likelihood of suicide-related outcomes and increased severity of suicide crisis syndrome. Specifically, higher rates of SLEs and lower levels of connectedness were associated with more suicide-related outcomes.

LIMITATIONS

The use of a cross-sectional design and snowball sampling method may restrict the ability to establish causal relationships and limit the representativeness of the findings.

CONCLUSIONS

Our findings suggest elevated suicide-related outcomes during the COVID-19 pandemic among individuals experiencing multiple interpersonal stressful life events and low connectedness with others. The circumstances of social life during the COVID-19 pandemic highlight the urgency of implementing preventive programs aimed at mitigating potential suicide risks that may arise in the aftermath of public stress situations.

Suicide Crisis Syndrome: A systematic review

BACKGROUND

The objective of this systematic review is to describe the scientific evidence for the Suicide Crisis Syndrome (SCS), a presuicidal cognitive and affective state consisting of five symptomatic dimensions: entrapment, affective disturbance, loss of cognitive control, hyperarousal, and social withdrawal. The aim of this article is to summarize the emerging literature on the SCS and to assess the extent to which a uniform syndrome can be assumed.

METHODS

A systematic literature search was conducted in three different databases (PubMed, PsycInfo, and Google Scholar) using the search terms "Suicide Crisis Inventory," "Suicide Crisis Syndrome," "Narrative Crisis Model of Suicide," and "Suicide Trigger State."

RESULTS

In total, 37 articles from 2010 to 2022 were identified by search criteria. Twenty-one articles published between 2017 and 2022 were included in the systematic review. All but three studies were conducted in the United States and examined clinical samples of adult high-risk psychiatric in- and outpatients. Sample sizes ranged from N = 170 to 4846. The findings confirm the unidimensional structure of the proposed disorder and support the predictive validity for short-term suicidal behavior above and beyond suicidal ideation.

CONCLUSION

Despite the promising predictive validity of the SCS, a precise prediction of future suicidal behavior remains difficult.

Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2 (SCI-2) Short Form

The Suicide Crisis Syndrome (SCS) describes a suicidal mental state marked by entrapment, affective disturbance, loss of cognitive control, hyperarousal, and social withdrawal that has predictive capacity for near-term suicidal behavior. The Suicide Crisis Inventory-2 (SCI-2), a reliable clinical tool that assesses SCS, lacks a short form for use in clinical settings which we sought to address with statistical analysis. To address this need, a community sample of 10,357 participants responded to an anonymous survey after which predictive performance for suicidal ideation (SI) and SI with preparatory behavior (SI-P) was measured using logistic regression, random forest, and gradient boosting algorithms. Four-fold cross-validation was used to split the dataset in 1,000 iterations. We compared rankings to the SCI-Short Form to inform the short form of the SCI-2. Logistic regression performed best in every analysis. The SI results were used to build the SCI-2-Short Form (SCI-2-SF) utilizing the two top ranking items from each SCS criterion. SHAP analysis of the SCI-2 resulted in meaningful rankings of its items. The SCI-2-SF, derived from these rankings, will be tested for predictive validity and utility in future studies.

Machine learning and the prediction of suicide in psychiatric populations: a systematic review

Machine learning (ML) has emerged as a promising tool to enhance suicidal prediction. However, as many large-sample studies mixed psychiatric and non-psychiatric populations, a formal psychiatric diagnosis emerged as a strong predictor of suicidal risk, overshadowing more subtle risk factors specific to distinct populations. To overcome this limitation, we conducted a systematic review of ML studies evaluating suicidal behaviors exclusively in psychiatric clinical populations. A systematic literature search was performed from inception through November 17, 2022 on PubMed, EMBASE, and Scopus following the PRISMA guidelines. Original research using ML techniques to assess the risk of suicide or predict suicide attempts in the psychiatric population were included. An assessment for bias risk was performed using the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) guidelines. About 1032 studies were retrieved, and 81 satisfied the inclusion criteria and were included for qualitative synthesis. Clinical and demographic features were the most frequently employed and random forest, support vector machine, and convolutional neural network performed better in terms of accuracy than other algorithms when directly compared. Despite heterogeneity in procedures, most studies reported an accuracy of 70% or greater based on features such as previous attempts, severity of the disorder, and pharmacological treatments. Although the evidence reported is promising, ML algorithms for suicidal prediction still present limitations, including the lack of neurobiological and imaging data and the lack of external validation samples. Overcoming these issues may lead to the development of models to adopt in clinical practice. Further research is warranted to boost a field that holds the potential to critically impact suicide mortality.

Factor structure, reliability, and validity of the revised Suicide Crisis Inventory in major depression: A multicentric Indian study

BACKGROUND

The revised Suicide Crisis Inventory (SCI)-2 is a self-report measure to assess the suicide crisis syndrome (SCS). We aimed to assess the factor structure, reliability, and validity of SCI-2 among adults with major depression.

METHODS

Using a cross-sectional design, between November 2021 and August 2022, the Hindi SCI-2, along with other self-report measures, was administered to Indian adult respondents clinically diagnosed with major depression across 24 centers in India. Confirmatory factor analysis was carried out to test the factor structure of SCI-2. Additionally, convergent, discriminant, and criterion validity were tested using bivariate or biserial correlations, as appropriate.

RESULTS

We obtained responses from 654 participants (Mean age = 36.9 ± 11.9 years, 50.2 % female). The SCI-2 fit both a one-factor (χ2[1769] = 14,150.74, p < .001, CFI = 0.98, RMSEA = 0.10), and five-factor solution (χ2[1759] = 13,130.83, p < .001,CFI = 0.98, RMSEA = 0.10) with the five-factor solution providing a significantly better fit. Internal consistencies of the SCI-2 total and subscale scores ranged from good to excellent. Most subscales significantly converged with each other and with other relevant measures although these associations were weak for thwarted belongingness and goal reengagement subscales. Small to moderate associations were noted in support of discriminant and criterion validity.

LIMITATIONS

We could not assess the predictive validity of SCI-2 for suicidal behaviors.

CONCLUSION

Consistent with prior data, the Hindi SCI-2 fit a five-factor solution and showed good psychometric properties. These findings support the use of SCI-2 to assess SCS among Indian adults with major depression.

A qualitative assessment and short-term mediation analysis of defeat, entrapment, and suicide

OBJECTIVES

The Integrated Motivational-Volitional Model (IMV) of Suicide is growing in empirical support. The present study advances IMV research through two aims: (1) to qualitatively probe the subjective experiences of defeat, internal entrapment, and external entrapment, and (2) conducting a 3-month prospective mediation analysis using quantitative and qualitative metrics of defeat and entrapment.

METHODS

The study featured an online two-point survey separated by 3 months. Participants were 255 adults living in the United Kingdom.

RESULTS

Persons endorsing qualitative defeat and internal entrapment in their narratives also showed higher quantitative scores on corresponding IMV and suicide-related self-report scales. Internal entrapment mediated the effect of baseline defeat on 3-month suicidal ideation, whereas external entrapment mediated the association of baseline defeat on 3-month suicide attempt likelihood. Quantitative assessment of entrapment was more significantly associated with suicide attempts and ideation within mediation tests compared to corresponding qualitative variables.

CONCLUSIONS

IMV model principles are largely supported by findings. Mediation results support further consideration of entrapment and defeat within clinical practice and public health-focused suicide research. Understanding the complexity of entrapment narratives represents an important next step for conducting qualitative IMV-focused research with minoritized and high-risk suicide populations.

User Feedback on the Use of a Natural Language Processing Application to Screen for Suicide Risk in the Emergency Department

Suicide is the 10th leading cause of death in the USA and globally. Despite decades of research, the ability to predict who will die by suicide is still no better than 50%. Traditional screening instruments have helped identify risk factors for suicide, but they have not provided accurate predictive power for reducing death rates. Over the past decade, natural language processing (NLP), a form of machine learning (ML), has been used to identify suicide risk by analyzing language data. Recent work has demonstrated the successful integration of a suicide risk screening interview to collect language data for NLP analysis from patients in two emergency departments (ED) of a large healthcare system. Results indicated that ML/NLP models performed well identifying patients that came to the ED for suicide risk. However, little is known about the clinician's perspective of how a qualitative brief interview suicide risk screening tool to collect language data for NLP integrates into an ED workflow. This report highlights the feedback and observations of patient experiences obtained from clinicians using brief suicide screening interviews. The investigator used an open-ended, narrative interview approach to inquire about the qualitative interview process. Three overarching themes were identified: behavioral health workflow, clinical implications of interview probes, and integration of an application into provider patient experience. Results suggest a brief, qualitative interview method was feasible, person-centered, and useful as a suicide risk detection approach.

Factor Structure and Validity of the Suicidal Narrative Inventory Among Indian Adults

Background: The suicidal narrative is a presuicidal state comprising several risk factors for suicide and is assessed using the Suicidal Narrative Inventory (SNI). Aims To assess the internal structure, reliability, and validity of SNI among Indian adults. Methods Between August 2020 and January 2021, the SNI, together with other self-report measures, was administered to adult respondents using an online anonymized questionnaire. Confirmatory factor analysis (CFA) was carried out to test the factor structure of the SNI. Results Usable responses were obtained from 302 participants (Mage = 43.5 ± 17.9 years, 53.6% female). The results of an eight-factor CFA of the SNI resulted in good model fit (χ2 [637] = 969.73, p < .001, comparative fit index = 1.00, root mean square error of approximation = .04). Internal consistencies of SNI subscale scores ranged from acceptable to excellent (range α = .67-.92). Most subscales significantly converged with other measures although these associations were minimal for the goal disengagement and reengagement subscales. Limitations The use of an online survey method to collect data introduced sampling bias. Conclusion The eight-factor CFA of the SNI, among Indian adults, was consistent with prior data. Our findings provide preliminary support for the use of SNI to assess the suicidal narrative construct among Indian adults.

The use of advanced technology and statistical methods to predict and prevent suicide

In the past decade, two themes have emerged across suicide research. First, according to meta-analyses, the ability to predict and prevent suicidal thoughts and behaviours is weaker than would be expected for the size of the field. Second, review and commentary papers propose that technological and statistical methods (such as smartphones, wearables, digital phenotyping and machine learning) might become solutions to this problem. In this Review, we aim to strike a balance between the pessimistic picture presented by these meta-analyses and the optimistic picture presented by review and commentary papers about the promise of advanced technological and statistical methods to improve the ability to understand, predict and prevent suicide. We divide our discussion into two broad categories. First, we discuss the research aimed at assessment, with the goal of better understanding or more accurately predicting suicidal thoughts and behaviours. Second, we discuss the literature that focuses on prevention of suicidal thoughts and behaviours. Ecological momentary assessment, wearables and other technological and statistical advances hold great promise for predicting and preventing suicide, but there is much yet to do.

Cross-national presence and sociodemographic correlates of the suicide crisis syndrome

BACKGROUND

The Suicide Crisis Syndrome (SCS) has been proposed as an acute, pre-suicidal mental state that precedes imminent suicidal behavior; however, its cross-national applicability and sociodemographic correlates have not yet been determined. The present study assessed the presence and severity of the SCS in ten countries and examined several potential sociodemographic correlates (i.e., age, gender, marital status, race/ethnicity) of the SCS.

METHODS

5528 community-based adults across 10 participating countries provided information on their SCS symptoms and sociodemographic characteristics in an anonymous online survey obtained via convenience sampling during the first year of the COVID-19 pandemic.

RESULTS

The SCS occurred cross-nationally, with rates ranging from 3.6% (Israel) to 16.2% (Poland). Those in the United States, South Korea, Poland, and Turkey had the highest severity of symptoms. Participants who were older, identified as cisgender men, and married tended to have lower rates of the SCS than their respective counterparts. There were minimal differences in the SCS by race/ethnicity.

LIMITATIONS

These data were both cross-sectional and collected via convenience sampling, limiting generalizability of findings and information about the SCS's predictive utility.

CONCLUSIONS

These findings support the cross-national presence of the SCS during the COVID-19 pandemic. Sociodemographic correlates aligned with those of suicidal behavior more generally, providing additional evidence for the concurrent/predictive validity of the SCS.

Suicidal urges and attempted suicide at multiple time scales in borderline personality disorder

BACKGROUND

There is strong evidence for an enduring suicidal diathesis among individuals with a history of suicide attempts, particularly among people diagnosed with borderline personality disorder (BPD). However, the progression of suicidal crises among people predisposed to suicidal behavior remains poorly understood.

METHODS

Via multilevel structural equation modeling we tested the hypothesis that a history of attempted suicide predicts a stronger dynamic link between affect and impulsivity with suicidal ideation (i.e., suicidal urges) - both moment-to-moment and day-to-day. 153 patients diagnosed with BPD, 105 of whom had a history of medically serious suicide attempts completed a 21-day ecological momentary assessment protocol (17,926 total assessments).

RESULTS

Individuals with higher average levels of negative affect reported more suicidal thoughts. Moments characterized by more negative affect, hostility, impulsivity, and less positive affect were also characterized by elevated suicidal ideation. For hostility and positive affect, these significant links generalized to the daily level. At the same time, for negative affect and hostility the within-person coupling was stronger among attempters in comparison to non-attempters, and these effects did not significantly differ across timescales.

LIMITATIONS

Follow-up studies replicating our findings of the dysregulation-suicidality nexus in clinically more diverse samples are needed.

CONCLUSIONS

The diathesis for suicidal behavior manifests in tighter dynamic links between negative affect or hostility and suicidal ideation. Because these within-person links were amplified in attempters compared to non-attempters, differential coupling patterns may index potentially lethal processes that generalize beyond BPD reflecting distinct diathesis components.

Changes in Daily Behaviors and Cognitions During the COVID-19 Pandemic: Associations With Suicide Crisis Syndrome and Suicidal Ideation

The COVID-19 pandemic resulted in drastic disruptions to lives and possible pernicious impacts on mental health, including suicidality. Understanding these relations, as well as impacts on at-risk populations, is essential. The present study examined changes in daily behaviors and cognitions after the implementation of physical/social distancing mandates in individuals with symptoms of suicide crisis syndrome (SCS) and/or suicidal ideation. Adults (N = 5,528) across 10 countries completed online self-report measures. There were significant main effects of time and various configurations of interactions between time, SCS, and suicidal ideation in predicting behaviors (outdoor and social engagements) and cognitions (thoughts about health, finances, and living situation). Cross-culturally, individuals with more severe SCS symptoms generally had the largest changes in behaviors and cognitions, though this effect was not replicated across all countries. Overall, these findings highlight the implications of the potentially mutually exacerbating influences of routine disruptions and suicide risk and the importance of examining associations cross-culturally.

Two sides of the same coin? Empirical examination of two proposed characterizations of acute suicidal crises: Suicide crisis syndrome and acute suicidal affective disturbance

Two proposed suicide-specific diagnoses, with accumulating research support, characterize the phenomenology of acute suicidal crises: Suicide Crisis Syndrome (SCS) and Acute Suicidal Affective Disturbance (ASAD). Despite conceptual overlap and some similar criteria, the two syndromes have never been compared empirically. The present study addressed this gap by examining SCS and ASAD utilizing a network analysis approach. A sample of 1568 community-based adults (87.6% cisgender women, 90.7% White, M_age = 25.60 years, SD = 6.59) in the United States completed an online battery of self-report measures. SCS and ASAD were first examined in individual network models, followed by a combined network to determine changes in network structure, as well as identify bridge symptoms that connected SCS and ASAD. The proposed criteria of SCS and ASAD formed sparse network structures that were largely unaffected by the influence of the other syndrome in a combined network. Social disconnection/withdrawal and manifestations of overarousal-particularly agitation, insomnia, and irritability-emerged as bridge symptoms that may connect SCS and ASAD. Our findings indicate the network structures of SCS and ASAD exhibit patterns of independence, alongside interdependence between overlapping symptom domains (i.e., social withdrawal, overarousal). Future work should examine SCS and ASAD prospectively to better understand their temporal dynamics and predictive utility in relation to imminent suicide risk.

Acute suicidal affective disturbance and borderline personality disorder symptoms: Distinct yet correlated constructs

OBJECTIVE

Acute Suicidal Affective Disturbance (ASAD) has been proposed to address the need for a suicide-specific diagnostic entity that better accounts for the psychological symptoms that may emerge during an acute suicidal crisis and that may precede imminent suicidal behaviors. However, additional research is needed to establish ASAD's delimitation from preexisting psychological disorders, especially disorders that include suicidal thoughts and behaviors in their diagnostic criteria such as borderline personality disorder (BPD).

METHODS

We estimated two Gaussian graphical models (GGMs), exploratory factor analysis (EFA) models, and confirmatory factor analysis models in a sample of psychiatric outpatients (N = 460) to examine the structure of ASAD and BPD symptoms.

RESULTS

Our estimated models showed while most ASAD and BPD symptoms largely shared associations with other symptoms belonging to their respective disorder construct, strong associations connected some ASAD symptoms with BPD symptoms, which, in a network model, emerged in the form of nonzero edges among those symptoms, and in EFA models, as factors that featured both ASAD and BPD symptoms as indicators.

CONCLUSIONS

Our findings suggest the network structure of the proposed criteria of ASAD features symptoms that are largely distinct to ASAD but do include symptoms that share meaningful correlations with BPD symptoms that suggest ASAD and BPD are correlated constructs.

Association of sociodemographic, proximal, and distal clinical factors with current suicidal ideation: Findings from a nonclinical sample of young adults

BACKGROUND

Accumulating evidence indicates that a variety of distal and proximal factors might impact a risk of suicide. However, the association between both groups of factors remains unknown. Therefore, in the present study, we aimed to investigate the interplay between distal and proximal correlates of the current suicidal ideation.

METHODS

A total of 3,000 individuals (aged 18-35 years, 41.7% males), who had reported a negative history of psychiatric treatment, were enrolled through an online computer-assisted web interview. Self-reports were administered to measure: (a) distal factors: a history of childhood trauma (CT), reading disabilities (RDs), symptoms of attention-deficit/hyperactivity disorder (ADHD), lifetime history of non-suicidal self-injury (NSSI), lifetime problematic substance use as well as family history of schizophrenia and mood disorders; (b) proximal factors: depressive symptoms, psychotic-like experiences (PLEs), and insomnia; and (c) sociodemographic characteristics.

RESULTS

Suicidal ideation was directly associated with unemployment, being single, higher level of RD, lifetime history of NSSI as well as higher severity of PLEs, depression, and insomnia. The association of distal factors with suicidal ideation was fully (a history of CT and symptoms of ADHD) or partially (a history of NSSI and RD) mediated by proximal factors (PLEs, depression, and insomnia).

CONCLUSIONS

Main findings from this study posit the role of distal factors related to neurodevelopmental disorders, CT and NSSI in shaping suicide risk. Their effects might be partially or fully mediated by depression, PLEs, and insomnia.

Factor Structure and Validation of the Revised Suicide Crisis Inventory in a Korean Population

OBJECTIVE

Because of the exceptionally high suicide rates in South Korea, new assessment methods are needed to improve suicide prevention. The current study aims to validate the revised Suicide Crisis Inventory-2 (SCI-2), a self-report measure that assesses a cognitiveaffective pre-suicidal state in a Korean sample.

METHODS

With data from 1,061 community adults in South Korea, confirmatory factor analyses were first conducted to test the proposed one-factor and five-factor structures of the SCI-2. Also, an exploratory factor analysis (EFA) was performed to examine possible alternative factor structure of the inventory.

RESULTS

The one-factor model of the SCI-2 resulted in good model fit and similarly, the five-factor model also exhibited strong fit. Comparing the two models, the five-factor was evaluated as the superior model fit. An alternative 4-factor model derived from EFA exhibited a comparable model fit. The Korean version of the SCI-2 had high internal consistency and strong concurrent validity in relation to symptoms of suicidal ideation, depression, and anxiety.

CONCLUSION

The SCI-2 is an appropriate and a valid tool for measuring one's proximity to imminent suicide risk. However, the exact factor structure of the SCI-2 may be culture-sensitive and warrants further study.

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.

Suicide plan prevalence, recurrence, and longitudinal association with nonfatal suicide attempt

BACKGROUND

Each year, millions of people develop suicide plans. These plans are assumed to indicate imminent suicide risk, yet this has rarely been tested. The present study seeks to address two questions: (1) how prevalent are specific thoughts of suicide plans among individuals with a history of suicidal thoughts and behaviors and (2) do suicide plans confer risk of future suicide attempts in the short term?

METHODS

Secondary data analysis was performed on a longitudinal dataset (N = 1021). Prevalence and frequencies of suicide planning features (i.e., method, time, place) at baseline and 3, 14, and 28 days post-baseline were calculated. Logistic regressions were conducted to assess whether suicide plans confer risk of suicide attempts across a 28-day follow-up period.

RESULTS

Suicide planning more commonly involved thoughts of method than place and/or time. High variability in suicide planning was evident and thoughts of suicide plans frequently recurred. Contrary to assumptions, suicide plans displayed weak associations with nonfatal suicide attempt across the 28-day follow-up period.

CONCLUSIONS

Suicide plans appear heterogeneous in nature. They do not appear to play a strong role in predicting nonfatal suicide attempts. Re-evaluation of the central role that suicide plans occupy within clinical risk assessments may be warranted.

Predictive validity and symptom configuration of proposed diagnostic criteria for the Suicide Crisis Syndrome: A replication study

OBJECTIVE

The Suicide Crisis Syndrome (SCS) is a new proposed suicide-specific diagnosis. In the present large replication study, we examine SCS diagnostic criteria to determine which configuration of symptoms demonstrates the strongest convergent and predictive validity for near-term suicidal behaviour.

METHODS

We conducted confirmatory factor analysis (CFA) to examine the factor structure of the proxy-SCS variables derived from an extensive self-report test battery and administered to 903 psychiatric patients (age (M = 36.70, SD = 13.91); gender (64.0% female)) at intake and 4-8-week follow-up assessments. Convergent and predictive validity of five configurations of the proposed SCS diagnostic criteria for suicidal ideation (SI) and attempts (SA) were examined using regression analyses. The new clinician-rated SCS-Checklist was piloted with 68 participants.

RESULTS

Both the one-factor and the five-factor models of proxy-SCS variables exhibited strong model fit, supporting the uni-dimensionality as well as the five-criteria structure of the SCS. All four configurations were uniquely related to the presence of a suicide attempt at follow-up when controlling for intake SI, lifetime SA, age, and gender, but none were significantly associated with intake SA when controlling for intake SI, age, and gender. All bivariate correlations between proxy-assessed and checklist-assessed SCS symptom configurations were significant and positive.

CONCLUSION

The proposed five-symptom structure of the SCS diagnostic criteria was supported and appears to describe a clinically meaningful syndrome specifically related to near-term suicidal behaviour. SCS assessment may significantly improve clinical evaluation of imminent suicide risk. Future studies are needed to assess the utility of the syndrome in clinical settings.

Assessment of acute and non-acute suicide crisis symptoms: Validation of the Korean version of the acute suicidal affective disturbance inventory

Suicide risk assessment is predominantly based on assessing current/recent suicidal ideation and past suicidal behavior. However, suicidal ideation and lifetime suicide attempt are poor predictors of imminent suicide risk or crisis. The acute suicidal affective disturbance inventory-lifetime (ASADI-L) was developed to assess symptoms of acute suicidal affective disturbance, which includes a drastic increase in suicidal intent, perceptions of social and/or self-alienation, hopelessness, and overarousal. However, the ASADI-L has not yet been validated in a Korean population. Also, the ASADI-L has only been validated for people who experience a drastic increase in suicidal intention over the course of hours or days (i.e., the acute suicidal intention group) and not validated for those who experience suicidal intention for a longer period (i.e., the non-acute suicidal intention group). Thus, the aims of this study were to (1) validate the ASADI-L in a sample of Korean community adults; and (2) compare clinical characteristics of the acute and non-acute suicidal intention groups. Among 1,675 community adults, data from 682 participants who reported a lifetime drastic increase in suicidal intent were analyzed. Results indicated that the ASADI-L has relevant reliability, validity, and a unidimensional factor structure. The acute suicidal intention group had higher ASAD symptoms as well as clinical symptoms than the non-acute group, but the two groups did not differ in history of suicide attempt. Overall, these findings suggest that the ASADI-L is a valid measure of acute and non-acute suicidal affective disturbance among Korean adults. Further investigation of the differences in acute and non-acute suicide risk is warranted.

Qualitative analysis of hospital patient narratives of warning signs on the day of their suicide attempt

OBJECTIVE

Research on warning signs, defined as acute risk factors for suicide or suicide attempt, has been slow due to the difficulty of examining the hours and minutes preceding suicidal behavior. This study sought to identify new warning signs and to re-examine warning signs that have been proposed.

METHOD

Narrative stories of adult patients with substance use problems hospitalized following a suicide attempt were transcribed. The narrative segments describing the 24-h period prior to suicide attempt were examined with directed qualitative content analysis using codes based on prior literature and new codes developed inductively.

RESULTS

The sample (N = 35) was mean age = 40, 51% female, and 49% White non-Hispanic. Analysis of the transcripts of the 24-h periods (M word count = 637) yielded a broad range of cognitive (e.g., cognitive disturbance such as rumination), behavioral (e.g., alcohol use), emotional (e.g., dramatic mood changes), and social (e.g., social withdrawal) warning signs, along with a small number of cognitions and behaviors that appeared to mark a dangerous shift to acute preparation and intent for attempt, for example 'self-persuasion to attempt suicide.'

CONCLUSION

We posit that a broad range of cognitive, behavioral, emotional, and social warning signs increase acute risk for suicidal behavior by creating the conditions for a shift to acute preparation and intent, a highly potent category of warning signs.

Relationship Between Emotion Regulation and Suicide Ideation and Attempt in Adults and Adolescents: A Systematic Review

INTRODUCTION

Suicide is one of the main causes of death in adults and adolescents, so research focused on identifying risk factors for suicidal behavior is needed. In recent years, emotion regulation, mainly the presence of difficulties regulating one's own negative emotions, has been associated with negative mental health outcomes.

OBJECTIVE

The purpose of this study was to systematically review the available evidence on the association between emotion regulation and suicide (ideation and attempt) in both adults and adolescents.

METHOD

A systematic search of scientific articles published in English and Spanish was carried out through the databases PsycINFO, MEDLINE, Scopus, and the Cochrane Library.

RESULTS

We identified 76 eligible studies, of which 70 reported that people with difficulties in emotion regulation reported higher levels of suicide ideation and more suicide attempts. The results were consistent in adolescents and adults, in clinical and general population samples, and when studies assessed both emotion regulation processes and strategies. However, few studies were longitudinal and most of them were with women.

CONCLUSIONS

We discuss the theoretical implications of the results, suggesting that actual psychological models might benefit from considering individual differences in ER in understanding why people engage in suicide behavior. Clinical implications are also discussed.HIGHLIGHTSDifficulties regulating one's emotions is associated with suicide behavior (SI and SA).Consistent results at all the ages and in the clinical and general population.Individual differences in ER could help researchers to understand suicide.

Momentary interpersonal processes of suicidal surges in borderline personality disorder

BACKGROUND

Suicide rates are high in borderline personality disorder (BPD) where interpersonal problems trigger intense affective dysregulation and impulses to act on suicidal thoughts. To date, however, no study has examined how interpersonal stressors contribute to momentary within-person links among affect and impulsivity with suicidal ideation (SI), and how those links vary over time in people's daily lives.

METHODS

A total of 153 individuals diagnosed with BPD and 52 healthy controls completed a 21-day ecological momentary assessment protocol. Of these 153 individuals with BPD, 105 had a history of suicide attempts. Multilevel structural equation modeling was used to examine dynamic links among interpersonal perceptions, affect, state impulsivity, and suicidal intent.

RESULTS

Aggregated across interactions, lower perceived warmth in others was associated with SI. This direct relationship, however, did not extend to momentary within-person associations. Instead, interpersonal conflicts were linked to SI indirectly via greater negative affect and lower positive affect. While a robust within-person link between interpersonal perceptions and impulsivity emerged, impulsivity did not account for the relationship between interpersonal perceptions and SI.

CONCLUSION

This intensive longitudinal study illustrates momentary interpersonal signatures of an emerging suicidal crisis. Among people with BPD at high risk for suicide, interpersonal triggers initiate a cascade of affective dysregulation, which in turn gives rise to SI.

Comparative clinical utility of screening for Suicide Crisis Syndrome versus suicidal ideation in relation to suicidal ideation and attempts at one-month follow-up

INTRODUCTION

Suicidal ideation (SI) has numerous limitations in predicting suicidal behavior. The Suicide Crisis Syndrome (SCS) is proposed as an alternative method of detecting risk. This study compares the relative utility of SI and SCS in statistically predicting SI and behaviors at one-month follow-up.

METHODS

382 psychiatric patients (98 inpatients, 284 outpatients) completed baseline measures and provided information about suicide-related outcomes one month later. Participants were grouped based on responses to measures assessing SCS and SI.

RESULTS

Rates of follow-up suicidal behavior were significantly higher among those reporting both SCS and SI (22.2%) than those reporting SI alone (6.0%) or neither SCS nor SI (0.9%). SCS alone (8.3%) had descriptively, but not statistically, higher rates of suicidal behavior than those with neither SCS nor SI, and did not differ from SI alone and the combination of SCS and SI. Those reporting SI-with and without SCS-had higher levels of follow-up suicidal thoughts than those without SI.

CONCLUSION

The SCS was equivalent to SI, and incrementally informative alongside SI, in detecting individuals at risk of future suicidal behavior, whereas SI was more strongly related to future SI than SCS. The combination of SCS and SI may be clinically useful in detecting individuals who are at risk for suicide.

Childhood trauma increases vulnerability to attempt suicide in adulthood through avoidant attachment

BACKGROUND

Childhood trauma and affective disorders are known risk factors for adult suicidal behavior. Studies have shown a mediating effect of insecure attachment on the effect of childhood trauma and suicidal behavior but so far it is not clear whether this effect is related to an attachment dimension (anxiety, avoidance).

AIM

The present study sought to examine the mediating effect of attachment anxiety and avoidance on suicidal behavior.

METHODS

We analyzed data on childhood trauma, attachment style, depression severity, presence of prior suicide attempts and current suicide ideation from 96 patients diagnosed with an affective disorder. Two mediation analyses were conducted to assess the effect of childhood trauma on 1) prior suicide attempts and 2) current suicidal ideation through its effect on attachment.

RESULTS

We found that childhood trauma had a complete mediated effect on the presence of prior suicide attempts through its effect on avoidant attachment (a1b1 = 0.0120, 95%-CI [0.0031, 0.0276]). However, only emotional abuse had a direct influence on suicidal ideation (c' = 0.0273, p < 0.01) without any indirect effect of anxious or avoidant attachment.

LIMITATIONS

Variables were not assessed in a prospective way and sample size was small.

CONCLUSIONS

Our findings suggest that individuals with avoidant attachment and childhood trauma are likely to present a high suicide risk. Since avoidant attachment is associated with altered perceptions and eventual rejection of social support, we recommend to screen for attachment early and to engage patients in therapeutical approaches focusing on the client-therapist alliance.

Factor structure and validity of the Revised Suicide Crisis Inventory (SCI-2) among Indian adults

BACKGROUND

There is a dearth of cross-cultural data on the psychometric properties of the revised Suicide Crisis Inventory (SCI)- 2. Our objective was to examine the factor structure, reliability, and validity of the SCI-2 among Indian adults.

METHODS

Using an online survey method, between August 20, 2020 and January 31, 2021, an anonymous questionnaire containing general sociodemographic information and self-report measures was circulated over email and social media. Confirmatory factor analyses (CFA) of the SCI-2 was carried out. We also examined the internal consistency of the SCI-2 and tested its convergent validity against the Suicide Narrative Inventory (SNI) and the Perceived Stress Scale (PSS-10).

RESULTS

A total of 302 participants (Mean age = 43.5 ± 17.9 years, 53.6% female) were obtained. Results of the one-factor CFA indicated good model fit (χ2[1769] = 5368.75, p < 0.001, Comparative Fit Index [CFI] =0.99, Root mean square error of approximation [RMSEA] =0.08). Similarly, the five-factor CFA also exhibited strong model fit (χ2[1759] = 4215.54, p < 0.001, CFI = 1.00, RMSEA =0.07). Comparison of these models indicated that the five-factor model demonstrated superior model fit (Δχ2[10] = 278.88, p < 0.001). The SCI-2 total and subscale scores showed excellent internal consistency and good convergent validity against most domains of the SNI and PSS-10.

CONCLUSION

Among Indian adults, the SCI-2 demonstrated good psychometric properties with the proposed five-factor solution providing the best fit. These findings provide support for the SCI construct and its assessment with the SCI-2 in an Asian setting.

Differential disclosure of suicidal intent to clinicians versus researchers: Associations with concurrent suicide crisis syndrome and prospective suicidal ideation and attempts

Several patient and setting characteristics have been found to predict disclosure of suicidality to clinicians versus researchers. Less understood, however, is whether differential disclosure of suicidality predicts concurrent indirect indicators of suicide risk and future suicide-related outcomes. The present study examined differential disclosure of suicidal intent in clinical versus research settings as a predictor of (1) concurrent symptoms of the Suicide Crisis Syndrome (SCS); and (2) suicidal ideation and attempts within one month in patients (n = 1039) and their clinicians (n = 144), who completed a battery of self-report and interview measures at baseline. Patients who reported suicidal intent to anyone had higher concurrent SCS symptoms than those who denied suicidal intent, with no differences between those who reported intent to clinicians versus researchers only. Severity of suicidal ideation and rates of suicide attempts at one-month follow-up were higher among those who disclosed suicidal intent to a research assistant than among those who did not-regardless of whether suicidal intent was disclosed to their clinician. Overall, an improved understanding of the factors contributing to differential disclosure will improve both scientific inquiry and patient safety.

Dynamic Regulatory Processes in the Transition from Suicidal Ideation to Action in Adults Leaving Inpatient Psychiatric Care: An Intensive Longitudinal Study Protocol (Preprint)

Background

US suicide rates have risen steadily in the past decade, and suicide risk is especially high in the months after discharge from inpatient psychiatric treatment. However, suicide research has lagged in examining dynamic within-person processes that contribute to risk over time among individuals known to be at high risk of suicide. Almost no research has examined how affective, cognitive, and physiological processes change over minutes, hours, or days to confer risk of suicidal behavior in daily life.

Objective

This protocol describes a longitudinal study designed to examine real-world changes in risk of suicide across multiple assessment domains. Specifically, the study involves following adults known to be at high risk of suicide after discharge from inpatient psychiatric care using self-report, interview, actigraphy, and behavioral methods to identify proximal contributors to suicidal thoughts and behaviors. First, we hypothesize that negative affective experiences, which are featured in most major suicide theories, will comprise a latent factor indicative of psychache (emotional pain), which will predict increases in suicidal thinking over time. Second, we hypothesize that poor inhibitory control in the context of negative affective stimuli, as well as emotion-related impulsivity, will predict the transition from suicidal thinking to suicidal behavior over time. Third, we hypothesize that short sleep duration will precede within-person increases in suicidal ideation as well as increased odds of suicidal behavior among those reporting suicidal thoughts.

Methods

The desired sample size is 130 adults with past-week suicidal thoughts or behaviors who are receiving inpatient psychiatric treatment. Participants will complete a battery of measures while on the inpatient unit to assess negative affective experiences, emotion-related impulsivity, inhibitory control, typical sleep patterns, and relevant covariates. After discharge from inpatient care, participants will complete 4 weeks of signal-contingent ecological momentary assessment surveys, as well as mobile behavioral measures of inhibitory control, while wearing an actigraphy device that will gather objective data on sleep. Participants will complete interviews regarding suicidal thoughts and behaviors at 4 and 8 weeks after discharge.

Results

The study was funded by the National Institutes of Health in November 2020. Recruitment began in April 2021. Data analysis will begin after completion of data collection.

Conclusions

This study will elucidate how affective, cognitive, and physiological risk factors contribute (or do not contribute) to within-person fluctuations in suicide risk in daily life, with important implications for extant theories of suicide. Of import, the examined risk factors are all modifiable; thus, the results will inform identification of key targets for just-in-time, flexible, personalized, digital interventions that can be used to decrease emotional distress and prevent suicide among those at highest risk.

International Registered Report Identifier (IRRID)

DERR1-10.2196/38582

The Narrative-Crisis Model of suicide and its prediction of near-term suicide risk

Despite decades of research, much remains unknown about the transition from chronic to imminent suicidal risk. In the context of COVID-19, this question is even more urgent. The present study tests a novel, stepwise model of this transition, termed the Narrative-Crisis Model. This model proposes that, in people with chronic risk factors, stressful life events can trigger a specific progression of cognitive-affective responses (the suicidal narrative and the suicide crisis syndrome), resulting in increased near-term risk of suicidal thoughts and behavior (STB). Identification of each step in this progression provides opportunities for more precise interventions. Concurrent validity was tested with 732 psychiatric patients and predictive validity with 524 participants, assessed one to two months later. Chronic risk factors were measured with the Childhood Trauma Questionnaire, Relationship Styles Questionnaire, and UPPS-P Impulsive Behavior Scale; acute risk factors with the Stressful Life Events Questionnaire, Suicide Narrative Inventory, and Suicide Crisis Inventory. The Columbia Suicide Severity Rating Scale was administered at the initial research assessment and follow-up. Indirect effects were significant for the full model and most pathways, in both concurrent and prospective analyses. In sum, this study provides empirical support for a novel, stepwise model of the progression from chronic to near-term suicidal risk.

Understanding suicidal pathways through the lens of a Dual-System Model of Suicidality in real-time: The potential of ecological momentary assessments

Within the ideation-to-action framework, existing theories of suicidal thoughts and behaviors (STBs) primarily focus on the linear progression of suicide risk. This, however, neglects growing evidence that many suicidal individuals do not experience their suicide attempt as a planned action, and in some instances deny even having experienced any suicidal thoughts. Furthermore, recent research has found that risk factors differ substantially between persons and that this is reflected in the variety of suicidal pathways. Considering the strong variability of STBs, new innovative theoretical concepts and assessment methods are needed to advance our understanding of multiple suicidal pathways. In this review, we apply a dual-system framework to suicidality, the Dual-System Model of Suicidality (DSMS), which accounts for two different systems of information processing and behavior. The first of these described is the reflective system, whereby STBs are viewed from a self-regulation perspective and thusly considered as maladaptive coping behavior to perceived discrepancies regarding important goals. Applying a feedback-based view such as this to STBs provides a deeper understanding into underlying psychological processes involved in the development of STBs. The second system described by the DSMS is the impulsive system. Here, STBs are seen as a maladaptive self-organizing pattern that gets activated in high-risk situations of acute stress, negative affect, and when resources of the reflective system are depleted. In this context, the DSMS is informed by a strength model of self-regulation, which assumes that self-regulation resources are limited, an aspect with important theoretical and clinical implications for the development of STBs. In order to demonstrate the theoretical and practical utility of the DSMS, this review draws mainly on studies using ecological momentary assessment (EMA), a technology that allows to investigate moment-to-moment changes in STBs, and is therefore well suited for capturing the complex interplay of self-regulatory and impulsive processes proposed by the DSMS. The application of a dual-system framework to suicide research represents an innovative and integrative approach for expanding our knowledge about fundamental processes and how their dynamics lead to STBs. The usefulness of the DSMS, implications for future suicide research with EMA, and clinical implications are discussed.

Validity of the modular assessment of risk for imminent suicide in predicting short-term suicidality

OBJECTIVE

The Modular Assessment of Risk for Imminent Suicide (MARIS) is a clinical assessment tool, consisting of four modules assessing (1) a pre-suicidal cognitive-affective state (Module 1); (2) patients' attitudes toward suicide (Module 2); (3) clinicians' assessment of suicide risk factors (Module 3); and (4) clinicians' emotional responses to patients (Module 4) that assesses short-term suicide risk. Initial evidence provided evidence for its reliability and concurrent validity. The present study extended these findings by examining the MARIS's predictive validity in relation to suicidal thoughts and behaviors at one-month follow-up.

METHODS

A sample of 1039 psychiatric patients (378 inpatients, 661 outpatients) and their clinicians (N = 144) completed a battery of measures at baseline; 670 patients completed the one-month follow-up assessment.

RESULTS

MARIS total scores predicted suicidal thoughts and behaviors at one-month follow-up, even after controlling for baseline suicidal thoughts and behaviors. Moreover, both Module 1 and the Distress subscale of Module 4 were uniquely associated with suicidal thoughts and behaviors at one-month follow-up, controlling for baseline suicidal thoughts and behaviors. Modules 2 and 3, on the other hand, exhibited poor internal consistency.

CONCLUSION

Overall, both patient- and clinician-rated indices are uniquely predictive of suicidal thoughts and behaviors at one-month follow-up, highlighting the need for integrating clinicians' emotional responses into suicide risk assessment. Pending replication and extension of these findings in external samples, a briefer, two-module version of MARIS (MARIS-2) may be such an integrative, psychometrically sound, and clinically useful instrument that can be utilized to assess short-term suicide risk.

The association between the suicide crisis syndrome and suicidal behaviors: The moderating role of personality traits

BACKGROUND

Personality traits have been associated with long-term suicide risk but their relationship with short-term risk is still unknown. Therefore, to address this gap, we explored the moderating effect of personality traits on the relationship between the Suicide Crisis Syndrome (SCS) and short-term suicidal behaviors (SB).

SAMPLING AND METHODS

Adult participants (N = 459) were administered the Suicide Crisis Inventory (SCI), a validated self-report questionnaire designed to measure the intensity of the Suicidal Crisis Syndrome, the Big Five Inventory for personality traits, and the Columbia Suicide Severity Rating Scale for SB at intake and at a 1-month follow-up. The PROCESS macro in SPSS was used to test the moderation model. Covariates hypothesized to influence the results were added: age, gender, ethnicity, years of education, and depressive symptomatology on the Beck Depression Inventory. This study was a secondary analysis drawn from a larger study on the SCS.

RESULTS

SCI total score had a significant positive relationship with SB at the 1-month follow-up for patients with lower levels of extraversion, agreeableness, conscientiousness, and openness, respectively. Hence, these four traits were protective against SB. There was an association between SCI and SB for patients with high levels of neuroticism at the 1-month follow-up.

CONCLUSIONS

High levels of neuroticism served as a risk factor, whereas high levels of the other Big Five traits were protective factors against short-term SB in the context of elevated SCS symptoms. Thus, personality traits play a role in moderating the relationship between the SCS and imminent SB.

The role of suicide ideation in assessing near-term suicide risk: A machine learning approach

BACKGROUND

The majority of suicide attempters do not disclose suicide ideation (SI) prior to making an attempt. When reported, SI is nevertheless associated with increased risk of suicide. This paper implemented machine learning (ML) approaches to assess the degree to which current and lifetime SI affect the predictive validity of the Suicide Crisis Syndrome (SCS), an acute condition indicative of imminent risk, for near-term suicidal behaviors (SB ).

METHODS

In a sample of 591 high-risk inpatient participants, SCS and SI were respectively assessed using the Suicide Crisis Inventory (SCI) and the Columbia Suicide Severity Rating Scale (C-SSRS). Two ML predictive algorithms, Random Forest and XGBoost, were implemented and framed using optimism adjusted bootstrapping. Metrics collected included AUPRC, AUROC, classification accuracy, balanced accuracy, precision, recall, and brier score. AUROC metrics were compared by computing a z-score.

RESULTS

The combination of current SI and SCI showed slightly higher predictive validity for near-term SB as evidenced by AUROC metrics than the SCI alone, but the difference was not significant (p<0.05). Current SI scored the highest amongst a chi square distribution in regards to predictors of near-term SB.

CONCLUSION

The addition of SI to the SCS does not materially improve the model's predictive validity for near-term SB, suggesting that patient self-reported SI should not be a requirement for the diagnosis of SCS.

Associations between goal orientation and suicidal thoughts and behaviors at one-month follow-up: Indirect effects through ruminative flooding

Previous research has identified both goal orientation and ruminative flooding as potential risk factors for suicidal thoughts and behaviors, as well as positive associations between goal orientation and rumination. The present study examined whether the association between goal orientation and suicidal thoughts and behaviors, assessed one month later, was accounted for by ruminative flooding. A sample of 924 psychiatric outpatients (M_age = 39.09 years, SD = 14.82, range = 18 to 84; 61.7% female; 37.0% White) completed self-report and interview measures at baseline and provided information about suicide-related outcomes at one-month follow-up. Goal orientation was positively associated with ruminative flooding, and both goal orientation and ruminative flooding were associated with suicidal thoughts and behaviors at one-month follow-up. Controlling for lifetime suicidal thoughts and behaviors, as well as patient age and sexual orientation, ruminative flooding accounted for the relationship between goal orientation and suicidal thoughts and behaviors at one-month follow-up. These findings were especially relevant for individuals with a history of multiple suicide attempts. Overall, this study provided evidence that difficulties with goal orientation may relate to suicidal thoughts and behaviors through intense ruminations perceived as a loss of cognitive control. Interventions that address ruminative thinking and cognitive flexibility may, in turn, assist in reducing emotion dysregulation and managing suicidality among those who struggle with goal orientation.

Behind therapists' emotional responses to suicidal patients: A study of the narrative crisis model of suicide and clinicians' emotions

OBJECTIVE

Clinicians' negative emotional responses to suicidal patients are predictive of near-term suicidality. This study aimed to explore the underlying pathway of this association by investigating the potential relationship between clinicians' emotional responses and the Narrative Crisis Model of suicide, which comprises long-term risk factors (LTRF) of suicidal thoughts and behaviors, Suicidal Narrative, and the Suicide Crisis Syndrome (SCS), a presuicidal affective state.

METHOD

One thousand and One patient participants and 169 clinician participants were recruited. Patients' Suicidal Narrative, SCS, and LTRF were assessed at intake using the Suicidal Narrative Inventory (SNI), the Suicide Crisis Inventory, and a composite score of three separate scales, respectively. Clinicians' emotional responses were measured immediately after patient intake using the Therapist Response Questionnaire-Suicide Form (TRQ-SF).

RESULTS

Multilevel regression analyses, which controlled for clinician differences, found that only patients' SNI total score and perceived burdensomeness subscale score were significantly associated with clinicians' TRQ-SF total score. Furthermore, a higher SNI total score was significantly related to higher distress and lower affiliation scores among clinicians.

CONCLUSIONS

Clinicians appear to respond emotionally to patients' Suicidal Narrative, and thus, future investigation of Suicidal Narrative and its potential to improve imminent suicide risk assessment is warranted.

Examination of characteristics of ruminative thinking as unique predictors of suicide-related outcomes

Rumination, a passive, repetitive perseveration on the causes, meaning, and consequences of one's distress, has been linked to suicidal ideation and behavior. Less is known, however, about which specific characteristics of rumination confer risk for suicide-related outcomes. This study examined associations between four features of rumination-frequency, duration, perceived controllability, and content-and current suicidal ideation, lifetime suicide plans, and lifetime suicide attempts. A sample of 548 adults (53.6% female, Mage = 36.54 years, 80.8% White/European American) recruited via Amazon's MTurk completed a battery of self-report measures online. The perceived controllability of rumination was uniquely associated with suicidal ideation, plans, and attempts, controlling for other characteristics of rumination, generalized worry, and demographic characteristics. Perceived controllability was also related to lifetime suicide plans and attempts above and beyond current suicidal ideation. Interpersonal and health-related content areas were also related to suicide-related outcomes, though these effects were inconsistent across outcome. Overall, perceived controllability over one's thoughts may be a key factor that confers risk along the suicidality continuum. Future research should replicate and extend these findings in diverse populations, using longitudinal designs, and with a variety of methodologies.

Clinical Characteristics Associated with Suicidal Attempt and Non-Suicidal Self-Injury in Korean Adolescents

OBJECTIVE

This study evaluated the association between mood and anxiety symptoms and suicidal attempt (SA) and/or non-suicidal self-injury (NSSI) in adolescents seeking mental health services. We also tested predictors of SA and NSSI.

METHODS

We retrospectively reviewed the medical records of 220 adolescents who completed psychological assessment in clinical sample. Participants did the Adolescent General Behavior Inventory (A-GBI) and Children's Depression Inventory (CDI). SA and NSSI were assessed retrospectively by interview. The caregiver of participants completed the Beck Depression Inventory (BDI) for themselves.

RESULTS

17% of total participants had a history of SA, and 24% experienced NSSI. Both SA and NSSI were more common in girls. The score of depressive subscale on A-GBI was higher in adolescents with SA than those without. The participants with NSSI showed higher scores on CDI and depressive subscale on A-GBI than those without. SA was associated with maternal BDI and history of NSSI; female sex, depressive subscale on A-GBI, and history of SA with NSSI.

CONCLUSION

Our study found that NSSI and SA are strongly associated in adolescents. Female sex and depressive symptoms of the adolescents were also significantly associated with NSSI in Korean adolescent. Findings are consistent with patterns in other countries.

Assessing the predictive ability of the Suicide Crisis Inventory for near-term suicidal behavior using machine learning approaches

OBJECTIVE

This study explores the prediction of near-term suicidal behavior using machine learning (ML) analyses of the Suicide Crisis Inventory (SCI), which measures the Suicide Crisis Syndrome, a presuicidal mental state.

METHODS

SCI data were collected from high-risk psychiatric inpatients (N = 591) grouped based on their short-term suicidal behavior, that is, those who attempted suicide between intake and 1-month follow-up dates (N = 20) and those who did not (N = 571). Data were analyzed using three predictive algorithms (logistic regression, random forest, and gradient boosting) and three sampling approaches (split sample, Synthetic minority oversampling technique, and enhanced bootstrap).

RESULTS

The enhanced bootstrap approach considerably outperformed the other sampling approaches, with random forest (98.0% precision; 33.9% recall; 71.0% Area under the precision-recall curve [AUPRC]; and 87.8% Area under the receiver operating characteristic [AUROC]) and gradient boosting (94.0% precision; 48.9% recall; 70.5% AUPRC; and 89.4% AUROC) algorithms performing best in predicting positive cases of near-term suicidal behavior using this dataset.

CONCLUSIONS

ML can be useful in analyzing data from psychometric scales, such as the SCI, and for predicting near-term suicidal behavior. However, in cases such as the current analysis where the data are highly imbalanced, the optimal method of measuring performance must be carefully considered and selected.

Limitations of Screening for Depression as a Proxy for Suicide Risk in Adult Medical Inpatients

BACKGROUND

Medically ill hospitalized patients are at elevated risk for suicide. Hospitals that already screen for depression often use depression screening as a proxy for suicide risk screening. Extant research has indicated that screening for depression may not be sufficient to identify all patients at risk for suicide.

OBJECTIVE

The present study aims to determine the effectiveness of a depression screening tool, the Patient Health Questionnaire-9, in detecting suicide risk among adult medical inpatients.

METHODS

Participants were recruited from inpatient medical/surgical units in 4 hospitals as part of a larger validation study. Participants completed the Patient Health Questionnaire-9 and 2 suicide risk measures: the Ask Suicide-Screening Questions and the Adult Suicidal Ideation Questionnaire.

RESULTS

The sample consisted of 727 adult medical inpatients (53.4% men; 61.8% white; mean age 50.1 ± 16.3 years). A total of 116 participants (116 of 727 [16.0%]) screened positive for suicide risk and 175 (175 of 727 [24.1%]) screened positive for depression. Of the 116 patients who screened positive for suicide risk, 36 (31.0%) screened negative for depression on the Patient Health Questionnaire-9. Of 116, 73 (62.9%) individuals who were at risk for suicide did not endorse item 9 (thoughts of harming oneself or of being better off dead) on the Patient Health Questionnaire-9.

CONCLUSION

Using depression screening tools as a proxy for suicide risk may be insufficient to detect adult medical inpatients at risk for suicide. Asking directly about suicide risk and using validated tools is necessary to effectively and efficiently screen for suicide risk in this population.

Naturally occurring language as a source of evidence in suicide prevention

We discuss computational language analysis as it pertains to suicide prevention research, with an emphasis on providing non-technologists with an understanding of key issues and, equally important, considering its relation to the broader enterprise of suicide prevention. Our emphasis here is on naturally occurring language in social media, motivated by its non-intrusive ability to yield high-value information that in the past has been largely unavailable to clinicians.

Mental Pain Surrounding Suicidal Behaviour: A Review of What Has Been Described and Clinical Recommendations for Help

OBJECTIVE

To conduct a comprehensive review of scientific publications related to mental pain and suicide risk in order to deepen relevant aspects to guide clinical interventions.

METHOD

Using a text analysis tool, we collected the terms most frequently linked with that situation in published results of research using various tools to evaluate mental pain or psychache.

DISCUSSION

We propose clinical interventions for the clinical conditions most commonly associated with mental pain.

Crisis Concept Re-loaded?-The Recently Described Suicide-Specific Syndromes May Help to Better Understand Suicidal Behavior and Assess Imminent Suicide Risk More Effectively

Background: Despite of the decreasing suicide rates in many countries, suicide is still a major public health concern worldwide. Traditional suicide risk factors have limited clinical predictive value, as they provide little reliable information on the acute psychological processes leading to suicide. Aims: The aim of this analysis is to describe and compare the recently introduced two suicide-specific syndromes [Acute Suicidal Affective Disturbance (ASAD) and Suicidal Crisis Syndrome (SCS)] with the classic psychological features of pre-suicidal crisis and also to assess the clinical utility of the new suicide prediction scales in contrast to classical risk factors. Method: Conceptual analysis. Results: Suicide-specific syndromes are not novel in terms of symptomatology or dynamics of symptom onset, but in their use of well-defined diagnostic criteria. In addition to symptomatic classification, they also provide an opportunity to objectively measure the current pre-suicidal emotional and mental state by validated tools. Limitations: Future studies need to be completed to prove the reliability and predictive validity of suicide-specific diagnostic categories and the related suicide risk assessment tools. Conclusion: Clinical use of suicide-specific syndromes is suggested. This transdiagnostic approach not only enables a more accurate and objective assessment of imminent suicide risk, but also facilitates research in neuroscience, which represent a major step forward in managing and complex understanding of suicidal behavior.

How do distal and proximal risk factors combine to predict suicidal ideation and behaviors? A prospective study of the narrative crisis model of suicide

AIM

The Narrative Crisis Model of suicide posits that when individuals with trait vulnerabilities for suicide face stressful life events, they may develop distorted perceptions of themselves and society that culminate in a sense of no future. Referred to as the suicide narrative, these perceptions makes them more likely to experience the Suicidal Crisis Syndrome, an acute affective condition that increases the risk of engaging in suicidal ideation behaviors. The goal of this study was to assess the stage components of this model.

METHODS

The stage components of the NCM were assessed among adult psychiatric inpatients (N = 223; listwise N = 85) aged 18-65 years old and admitted for suicidal ideation or attempts. Suicidal outcomes were assessed at one month follow-up. Structural equation modeling (SEM) was used to assess the model and its prediction of prospective suicidal outcomes.

RESULTS

The model was supported by the SEM and proved to be a good fit for the data. Each temporal stage was significantly predicted by the precedent stage in the model and 13% of the variance in suicidal ideation and behaviors (when assessed conjointly) were explained by the model. When suicidal ideation and attempts were assessed separately, the amount of variance explained was 10.8% for suicidal ideation and 40.7% for suicidal attempts.

DISCUSSION

The progression from trait vulnerabilities to suicidal outcomes proposed by the NCM was supported by our findings. These findings have clinical implications in the assessment and treatment of suicide risk and will need replication with larger samples.

Assessment of near-term risk for suicide attempts using the suicide crisis inventory

BACKGROUND

The Suicide Crisis Syndrome (SCS) describes a pre-suicidal mental state marked by entrapment accompanied by affective disturbances, loss of cognitive control, hyperarousal and social withdrawal. This study tested the consistency and validity of the Suicide Crisis Inventory (SCI), a proposed measure of SCS severity, amongst a large, heterogeneous patient sample.

METHODS

The SCI was used to assess 867 adult psychiatric inpatients and outpatients. Confirmatory factor analysis, logistic regressions and area under the curve analyses (AUC) were used to examine internal structure, construct validity and predictive validity for suicide ideation, plan and attempt one-month post-assessment.

RESULTS

The five-factor model of the SCS demonstrated good fit and excellent internal consistency. SCI scores indicated significant associations but non-redundancy with depression, anxiety, and independence from other dimensions of psychiatric distress. SCI scores specifically predicted suicide attempts with an AUC of 0.733 and odds ratio=8.62 (p<0.001) at optimal cut-off point. SCI incremental predictive validity over and beyond suicidal ideation and attempts history reported at baseline was supported for predicting suicide attempts (β= 0.012, S.E = 0.006; p=0.046).

LIMITATIONS

The SCI is subject to self-report bias and does not include the SCS social withdrawal component. Follow-up assessment retention was partial (68%, n=591).

CONCLUSION

The SCI is validated as a tool for the assessment of the SCS intensity and of imminent suicidal behavior. The SCI is suggested as a tool that could aid both researchers and clinicians in comprehensive assessment of a pre-suicidal mental state within moderate to high-risk populations, regardless of self-report on suicidal intent.