Longitudinal risk profiling for suicidal thoughts and behaviours in a community cohort using decision trees

Association between rumination, suicidal ideation and suicide attempts in persons with depressive and other mood disorders and healthy controls: A systematic review and meta-analysis

INTRODUCTION

Suicidal ideation and behaviors are a leading cause of disability worldwide. Approximately 90 % of suicide completers have a diagnosable mood disorder. Extant literature reports rumination mediates functional impairment across mood disorders. Herein, we report the association between rumination and suicidality amongst persons with psychiatric disorders and healthy controls.

METHODS

Our systematic review and meta-analysis included relevant articles retrieved from Web of Science, OVID and PubMed from inception to March 20, 2024. Random effects model was used to calculate the correlation between rumination, suicidal ideation and attempt.

RESULTS

A total of 27 eligible studies were included in our systematic review and meta-analysis. Rumination (r = 0.25 [95 % CI: -0.03, 0.49]), reflection (r = 0.15 [-0.71, 0.83]) and brooding (r = 0.13 [-0.58, 0.73]) were nonsignificantly correlated with suicidal ideation in mood disorders. Suicide attempt history was significantly associated with greater odds of rumination in persons with depressive disorders (OR = 1.13 [0.42, 3.02]). In healthy controls, rumination (r = 0.30 [0.21, 0.38]), reflection (r = 0.23 [0.13, 0.32]) and brooding (r = 0.24 [0.12, 0.36]) were significantly correlated with suicidal ideation. Rumination also predicted lifetime history of suicide attempts in healthy controls (OR = 1.70 [1.16, 2.49]).

LIMITATIONS

There were inadequate sample sizes of persons with different mood and psychiatric disorders which may have underpowered our ability to detect clinically meaningful associations.

DISCUSSION

Our study reports a transdiagnostic association between measures of rumination and suicidality. Future research vistas should parse the neurobiological substrates subserving rumination and identify targeted therapies and their association with general cognition and treatment response.

Using recursive partitioning to predict presence and severity of suicidal ideation amongst college students

OBJECTIVE

Predicting the presence and severity of suicidal ideation in college students is important, as deaths by suicide amongst young adults have increased in the past 20 years.

PARTICIPANTS

We recruited college students (N = 5494) from ten universities across eight states.

METHOD

Participants answered three questionnaires related to lifetime and past month suicidal ideation, and an indicator of suicidal ideation in a DSM-5 symptom measure. We used recursive partitioning to predict the presence, absence, and severity, of suicidal ideation.

RESULTS

Recursive partitioning models varied in their accuracy and performance. The best-performing model consisted of predictors and outcomes measured by the DSM-5 Level 1 Cross-Cutting Symptom Measure. Sexual orientation was also an important predictor in most models.

CONCLUSIONS

A single measure of DSM-5 symptom severity may help universities understand suicide severity to promote targeted interventions. Though further work is needed, as similar scaling amongst predictors could have influenced the model.

Suicidal ideation in female individuals with fibromyalgia and comorbid obesity: prevalence and association with clinical, pain-related, and psychological factors

OBJECTIVE

Individuals with fibromyalgia report alarming levels of suicidal ideation, and comorbidity with other chronic health conditions such as obesity-a risk factor for suicidal ideation per se-could further complicate the clinical picture. The aim of this study is to determine, in a sample of women with fibromyalgia and comorbid obesity, the prevalence of suicidal ideation and to evaluate clinical, pain-related and psychological factors associated with suicidal ideation.

METHODS

In total, 156 female individuals with fibromyalgia and obesity were recruited and completed a series of self-report measures that assessed (i) the level of pain intensity, (ii) depressive symptomatology, (iii) sleep quality, and (iv) pain catastrophizing. Suicidal ideation was evaluated by item #9 of the Beck Depression Inventory. In addition, information regarding previous suicide attempts and current opioid use was collected.

RESULTS

3n sum, 7.8% of participants reported presence of suicidal ideation. According to the results of the multiple logistic regression, depressive symptomatology, sleep quality, and pain catastrophizing were associated with the presence of suicidal ideation.

DISCUSSION

The presence of suicidal ideation in our sample was significantly associated with depressive symptomatology, sleep quality, and pain catastrophizing. Our findings are the first to suggest a unique (ie, independent of depressive symptomatology, and sleep quality) association between pain catastrophizing and suicidal ideation in the context of fibromyalgia and comorbid obesity. In order to prevent and reduce suicidal ideation, these factors should be assessed and targeted in interventions for pain management. Future research should investigate the extent to which addressing depressive symptoms, sleep quality, and pain catastrophizing reduces suicidal ideation.

The Prediction Model of Non-Suicidal Self-Injury in Psychiatric Patients Using Decision Tree Analysis

PURPOSE

The prevalence rate of non-suicidal self-injury (NSSI) in the clinical population is higher than that in the community sample, necessitating the need to investigate the predicting factors of NSSI in this group. The present study aimed to develop a prediction model of NSSI among psychiatric patients in Korea.

MATERIALS AND METHODS

Decision tree analysis was conducted on a sample of 224 psychiatric patients. Emotion regulation strategies (rumination, cognitive reappraisal, and expressive suppression), impulsivity, problematic alcohol use, working memory, depressive mood, and gender were included in the model as predictors of NSSI.

RESULTS

Results indicated that rumination, problematic alcohol use, and working memory predicted lifetime NSSI engagement among psychiatric patients. The best predictor of lifetime NSSI engagement was rumination. Specifically, when the level of rumination was high, the level of working memory was lower, and the risk of NSSI was higher. In the case of low levels of rumination, the higher the level of problematic alcohol use, the higher the risk of NSSI. The highest prevalence of lifetime NSSI engagement was found in a subgroup of patients with high levels of rumination and low levels of working memory.

CONCLUSION

The major contribution of this study is finding a combination of factors to predict the high-risk group of NSSI among psychiatric patients in Korea. This study provides evidence on the effect of rumination, working memory, and problematic alcohol use on NSSI. It is suggested that clinicians and researchers should pay more attention to emotion regulation and related vulnerabilities in preventing and treating NSSI.

Symptoms characteristics of personality disorders associated with suicidal ideation and behaviors in a clinical sample of adolescents with a depressive disorder

Introduction

Pathological personality traits have repeatedly been identified as important risk factors for suicidal ideation and behaviors. Moreover, impulsive-aggressive traits, have shown a consistent association with suicidal behaviors across the lifespan. Adolescence represents a critical period for the emergence of different personality traits, mood disorders, and suicidal behaviors, but the relationship between these variables remain poorly understood.

Methods

These variables were examined in a cross-sectional case-control design involving three groups: 30 adolescents with a depressive disorder and past suicide attempt (Mean Age = 16.2, Females = 26), 38 adolescents with a depressive disorder but without past suicide attempt (Mean age = 16.0, Females = 29), and 34 healthy adolescent controls (Mean age = 15.2, Females = 22). Suicidal ideations were indexed using Suicidal Behavior Questionnaire (SBQ-R), psychiatric disorder assessed using a semi-structured questionnaire (K-SADS-PL), depressive symptoms with the Beck Depressive Inventory (BDI), symptoms characteristics of personality disorders with the Scheduled Clinical Interview for the DSM-IV (SCID-II) screening questionnaire, and impulsivity with the Barratt Impulsivesness Scale (BIS).

Results

Findings showed that impulsivity (F = 11.0, p < 0.0001) and antisocial symptoms characteristics of personality disorders (p < 0.001, d = 0.70) displayed the most robust association with adolescent suicide attempts. Borderline symptoms characteristics of personality disorders did not discriminate attempters from non-attempters but presented high correlations with suicidal ideation and depression severity. In an item-wise analysis, suicide attempt status was uniquely correlated with symptoms characteristics of an antisocial personality disorder. Suicide attempt status also correlated with non-suicidal self-injury and a chronic feeling of emptiness.

Discussion

The caveats of this cross-sectional study include the stability of symptoms characteristics of personality disorders in adolescence and the limited sample size. In sum, suicidal behaviors were characteristically correlated with increased impulsivity and antisocial symptoms characteristics of personality disorders, but other symptoms characteristics of personality disorders were relevant to adolescent depression and suicidal ideation. Understanding the emergence of symptoms characteristics of personality disorders and suicidal behaviors in a developmental context can ultimately inform not only the neurobiological origin of suicidal behaviors, but also provide new avenues for early detection and intervention.

Detecting depression based on facial cues elicited by emotional stimuli in video

Recently, depression research has received considerable attention and there is an urgent need for objective and validated methods to detect depression. Depression detection based on facial expressions may be a promising adjunct to depression detection due to its non-contact nature. Stimulated facial expressions may contain more information that is useful in detecting depression than natural facial expressions. To explore facial cues in healthy controls and depressed patients in response to different emotional stimuli, facial expressions of 62 subjects were collected while watching video stimuli, and a local face reorganization method for depression detection is proposed. The method extracts the local phase pattern features, facial action unit (AU) features and head motion features of a local face reconstructed according to facial proportions, and then fed into the classifier for classification. The classification accuracy was 76.25%, with a recall of 80.44% and a specificity of 83.21%. The results demonstrated that the negative video stimuli in the single-attribute stimulus analysis were more effective in eliciting changes in facial expressions in both healthy controls and depressed patients. Fusion of facial features under both neutral and negative stimuli was found to be useful in discriminating between healthy controls and depressed individuals. The Pearson correlation coefficient (PCC) showed that changes in the emotional stimulus paradigm were more strongly correlated with changes in subjects' facial AU when exposed to negative stimuli compared to stimuli of other attributes. These results demonstrate the feasibility of our proposed method and provide a framework for future work in assisting diagnosis.

Prospective Relation between Ruminative Subtypes and Suicide Ideation: Moderating Role of Problem Solving

Background

Although reflection has been characterized as a more adaptive subtype of rumination than brooding, evidence suggests that reflection is associated with suicide ideation. The present longitudinal study investigated the mediating role of hopelessness and depressive symptoms and the moderating role of problem solving in explaining why reflection may lead to suicide ideation.

Methods

Two hundred ninety-four undergraduates participated in the study and were followed up every 6 months over 18 months. Participants completed measures of brooding and reflection, hopelessness, depressive symptoms, problem solving, and suicide ideation.

Results

Results revealed that after adjusting for baseline suicide ideation, the serial mediation path from brooding (but not reflection) to suicide ideation via hopelessness and depressive symptoms was significant. Baseline reflection predicted suicide ideation 18 months later through depressive symptoms at 12 months for people average in passive problem solving, and for those low or average in active problem solving. Brooding predicted suicide ideation through depressive symptoms, regardless of problem-solving.

Conclusions

Reflection may result in suicide ideation via depressive symptoms among people with poor problem-solving skills. Clinical and theoretical implications are discussed.

The Association between COVID-19 Pandemic and the Quality of Life of Medical Students in Silesian Voivodeship, Poland

(1) Background: Since the COVID-19 pandemic spread rapidly in 2020, medical universities have been affected by a particular crisis. Due to the increased risk of SARS CoV-2 transmission, the authorities of medical faculties all over the world, including Poland, started to minimize direct contact between students. The objective of the paper is to identify and assess determinants of the quality of life among medical students in Poland before and during the COVID-19 pandemic. (2) Methods: We analyzed data obtained in a cross-sectional study performed among three groups of students tested in three consecutive research periods: period before the COVID-19 pandemic, the COVID-19 pandemic lockdown period and the COVID-19 pandemic period following lockdown. (3) Results: The total number of participants was 1098. We identified that the research period before the COVID-19 pandemic was the risk factor for lower quality of life in terms of the somatic and environmental domains. It was also confirmed that determinants such as poor financial situation, low frequency of physical activity and bad self-declared health status harmed the QoL scores in all domains. (4) Conclusions: The obtained results confirmed that better financial situation, higher physical activity and better self-declared health status were statistically significant factors improving the quality of life of first-year medical students in Poland. The findings of our study also showed that the declared somatic and environmental domains of QoL among medical students were better during the COVID-19 pandemic period. Our observations confirmed that the immediate implementation of e-learning could protect against the deterioration of mental health and quality of life in first-year medical students during possible future epidemic crises.

Factors associated with professional mental health service use among adults with suicidal ideation

BACKGROUND

The uptake of professional mental health services among people with suicidal ideation remains low, yet few community-based studies have characterised modifiable individual barriers to service use. Our aims were (1) to identify factors associated with use of professional mental health services among people experiencing suicidal ideation, and (2) to distinguish subgroups with varying levels of service use.

METHODS

1462 Australian adults (78.8% female) were recruited online to participate in a cross-sectional survey. Logistic regression analysis was used to identify factors associated with professional service use. A decision tree model was used to identify subgroups with varying rates of professional service use.

RESULTS

Most participants (62%) had used professional services for mental health concerns in the past 12 months. Greater rates of service use were observed in participants who were middle aged, spoke English, disclosed to informal sources or helplines, met criteria for a mental health disorder, had higher levels of entrapment, psychological distress, and disinhibition, and lower levels of detachment and antagonism. At the terminal nodes of the decision tree analysis, service use ranged from 21% to 94%. The most important determinants of service use were meeting criteria for a mental disorder and disclosure of suicidal ideation to family/friends and helplines.

CONCLUSION

These findings suggest that interventions to support the safe disclosure of suicidal ideation may assist in increasing service use. There is also the need for services that meet the needs of individuals who do not meet criteria for a mental health condition.

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.

Predicting Suicidal Behavior Without Asking About Suicidal Ideation: Machine Learning and the Role of Borderline Personality Disorder Criteria

OBJECTIVE

Identifying predictors contributing to suicide risk could help prevent suicides via targeted interventions. However, using only known risk factors may not yield accurate enough results. Furthermore, risk models typically rely on suicidal ideation, even though people often withhold this information.

METHOD

This study examined the contribution of various predictors to the accuracy of six machine learning models for identifying suicidal behavior in a prison population (n = 353), including borderline personality disorder (BPD) and antisocial personality disorder (APD) criteria, and compared how excluding data about suicidal ideation affects accuracy.

RESULTS

Results revealed that gradient tree boosting accurately identified individuals with suicidal behavior, even without relying on questions about suicidal ideation (AUC = 0.875, F1 = 0.846). Furthermore, the model maintained this accuracy with only 29 predictors. Meeting five or more diagnostic criteria of BPD was an important risk factor for suicidal behavior. APD criteria, in the presence of other predictors, did not substantially improve accuracy. Additionally, it may be possible to implement a decision tree model to assess individuals at risk of suicide, without focusing upon suicidal ideation.

CONCLUSIONS

These findings highlight that modern classification algorithms do not necessarily require information about suicidal ideation for modeling suicide and self-harm behavior.

Emotion reactivity, nonsuicidal self-injury, and regulatory emotional self-efficacy: A moderated mediation model of suicide ideation

BACKGROUND

Adolescent suicide ideation (SI) has received increased attention in recent years, and emotion reactivity (ER) has been found to be a risk factor for SI. However, little is known about the mediating and moderating mechanisms underlying this relationship. The aim of this study is to test a moderated mediation model of SI.

METHOD

A total of 2,716 Chinese adolescents (53.2% males, mean age = 13.19 years, SD = 0.52) completed self-report questionnaires regarding SI, ER, nonsuicidal self-injury (NSSI), and regulatory emotional self-efficacy (RESE).

RESULTS

After controlling for gender, ER was significantly associated with SI, and this association was mediated by NSSI. RESE buffered the relation between ER and SI, as well as the relation between ER and NSSI.

LIMITATION

This study was cross-sectional in design and relied upon self-report measures only. Almost all participants were recruited from a single city of China.

CONCLUSION

Findings of this study demonstrate a relationship among ER, NSSI, and SI, and expand our understanding of the development of SI. Further, RESE may be a protective factor against SI and NSSI in adolescence, which suggests a potential role of promoting RESE in the prevention and intervention of SI and NSSI.

Examining the mechanisms by which adverse life events affect having a history of self-harm, and the protective effect of social support

BACKGROUND

Psychological models of suicide emphasize perceptions of negative stressors, hopelessness and self-harm as key antecedents to suicidal thoughts/acts. Such models also emphasize the potential protective role of social support in these pathways. However, such pathways have not been tested using population level data. Hence, this study aimed to redress this gap.

METHODS

Questionnaire data regarding 24,444 patient suicide deaths were analysed. All individuals died between 1996 and 2015 and were seen by secondary mental health services in England within 12 months before their death. Mediation analyses, using fitted logistic regression models, investigated direct and indirect pathways between negative stressors, hopelessness and a proxy measure of suicide, namely, self-harm history. In addition, the buffering effects of social support were examined in these pathways.

RESULTS

There was a direct effect of negative life events on suicidal behaviors. Supporting contemporary psychological models of suicide, a mediated effect via hopelessness and a protective effect of social support were identified. Social support buffered the pathway between stressful life events and hopelessness, with hopelessness decreasing as social support increased.

LIMITATIONS

Causal inferences are inappropriate as the design was cross-sectional. A proxy measure of suicidality was utilized (history of self-harm) as all individuals had died by suicide.

CONCLUSIONS

This is the first time that population data has been used to test psychological pathways to suicidal acts involving negative stressors, hopelessness and social support. Psychological interventions should focus on increasing social support following negative life events together with ameliorating perceptions of hopelessness.

Suicide and Personality Traits: A Multicenter Study of Austrian and Italian Psychiatric Patients and Students

OBJECTIVE

The aim of this multicenter study was to investigate the differences in personality traits, particularly Neuroticism, in three clinical samples and three student samples in Austria and Italy and their impact on suicide.

METHODS

In total, 1,043 people (410 psychiatric inpatients and 633 university students) were tested in three regions of Europe: central Italy, northeast Italy, and eastern Austria. Psychiatric diagnoses were evaluated using the Mini-International Neuropsychiatric Interview, and the following instruments were used: Sociodemographic Questionnaire, Columbia-Suicide Severity Rating Scale-B, Symptom-Checklist-90-Standard, and Big Five Inventory.

RESULTS

The study found that the intensity of Suicidal Ideation was associated with the personality traits of Neuroticism, Anxiety, and Extraversion but also with Depression.

CONCLUSIONS

In conclusion, without the presence of Depression symptoms, neuroticism was a protective factor against Suicidal Ideation, whereas neuroticism when comorbid with Depression symptoms increased suicide risk in psychiatric patients. In all three regions, the clinical samples had higher scores for Neuroticism and for Depression symptoms than the student sample and consequently higher scores for Suicide. Furthermore, we demonstrated an interaction between gender and culture on personality traits, supporting the hypothesis that the distribution of self-reported personality traits is organized geographically.

Suicidal thought in southern Brazil: Who are the most susceptible?

BACKGROUND

Suicide is one of the leading causes of death among adolescents and young adults worldwide. However, risk factors for suicidal thoughts might change across cultures and contexts. We aimed to assess the prevalence and associated factors of suicidal thought among adults in a southern Brazilian city.

METHODS

This population-based cross-sectional study used a multistage sampling procedure to evaluated individuals with 18 years or more, living in a southern city in Brazil. We collected suicidal thought using a question from the Patient Health Questionnaire-9. In addition, we collected information on sociodemographic, behavioral, and health variables, through a questionnaire using standardized and validated instruments. We calculated prevalence ratios (PR) using Poisson Regression models with robust adjustment of the variance.

RESULTS

We collected information from 1295 individuals, 6.6% were positive for suicidal thought. In multivariate analysis, factors independently associated with suicidal thoughts included: being a woman, poor, reporting current tobacco use, having household food insecurity, having three or more morbidities, being in the upper tertile of the stress scores, having had a depression diagnostic in the last year and sadness.

LIMITATIONS

We cannot say that the associations found are causal. Suicidal thoughts were assessed from a single question.

CONCLUSION

Suicidal thought is a prevalent condition, most likely associated with being a woman, having worst socioeconomic conditions, a poorer health, a higher stress, using tobacco and having depression and/or sadness.

Impact of effort reward imbalance at work on suicidal ideation in ten European countries: The role of depressive symptoms

BACKGROUND

Evidence of the association between effort reward imbalance (ERI) and suicidal ideation is sparse. This study examined the influence of ERI at work on suicidal ideation and the mediating effect of depressive symptoms.

METHODS

There were 4963 workers aged 50+ without suicidal ideation at baseline in the Survey of Health, Aging and Retirement in Europe, these workers were followed-up for 8-years to detect incident suicidal ideation. ERI was measured by a short ERI questionnaire. Suicidal ideation was evaluated by one item derived from the 12-item Europe-depression scale, and depressive symptoms were assessed by the remaining 11 items in the scale. Cox models were employed to explore the relationship adjusting for potential confounders. Mediation analysis was used to test the mediating effect of depressive symptoms.

RESULTS

A significantly higher incidence of suicidal ideation was related with high effort (HR = 1.51) and low reward (HR = 1.42), respectively. A high effort-low reward imbalance was associated with even higher risk of suicidal ideation (HR = 1.96) as compared to low effort-high reward combination. The association was varied by gender, region, education and household income. Depressive symptoms mediated a modest proportion (natural indirect effect 14.4%) of the total association between ERI and suicidal ideation.

LIMITATION

Suicidal ideation definition based on self-administered questionnaires which could lead to false negatives. And some unmeasured confounders might have biased the results.

CONCLUSIONS

Efforts in promoting balanced effort-reward at work may reduce suicidal ideation among working population aged 50+. Avoiding depressive symptoms may further enhance such efforts.

The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors

OBJECTIVE

Suicide is a growing public health concern with a global prevalence of approximately 800,000 deaths per year. The current process of evaluating suicide risk is highly subjective, which can limit the efficacy and accuracy of prediction efforts. Consequently, suicide detection strategies are shifting toward artificial intelligence platforms that can identify patterns within 'big data' to generate risk algorithms that can determine the effects of risk (and protective) factors on suicide outcomes, predict suicide outbreaks and identify at-risk individuals or populations. In this review, we summarize the role of artificial intelligence in optimizing suicide risk prediction and behavior management.

METHODS

This paper provides a general review of the literature. A literature search was conducted in OVID Medline, EMBASE and PsycINFO databases with coverage from January 1990 to June 2019. Results were restricted to peer-reviewed, English-language articles. Conference and dissertation proceedings, case reports, protocol papers and opinion pieces were excluded. Reference lists were also examined for additional articles of relevance.

RESULTS

At the individual level, prediction analytics help to identify individuals in crisis to intervene with emotional support, crisis and psychoeducational resources, and alerts for emergency assistance. At the population level, algorithms can identify at-risk groups or suicide hotspots, which help inform resource mobilization, policy reform and advocacy efforts. Artificial intelligence has also been used to support the clinical management of suicide across diagnostics and evaluation, medication management and behavioral therapy delivery. There could be several advantages of incorporating artificial intelligence into suicide care, which includes a time- and resource-effective alternative to clinician-based strategies, adaptability to various settings and demographics, and suitability for use in remote locations with limited access to mental healthcare supports.

CONCLUSION

Based on the observed benefits to date, artificial intelligence has a demonstrated utility within suicide prediction and clinical management efforts and will continue to advance mental healthcare forward.

The association between emotional and instrumental social support and risk of suicide death: A population-based cohort study

Suicide is an important public health issue and previous studies have suggested that social support can one preventive factor. However, the association between emotional and instrumental social support and suicide death has not been investigated in detail. The purpose of this study was to investigate the association between each type of social support and suicide death based on a population-based cohort study. We analyzed follow-up data for 47,223 subjects (aged ≥40 y) participating in a community-based, prospective cohort study. At the baseline, the subjects were asked five questions about social support. The end point of the study was suicide mortality, based on data from the National Vital Statistics. The Cox model was used to estimate the multivariate-adjusted hazard ratios of suicide death. In addition, stratified analysis was conducted to test the interaction of each type of social support with gender (male/female) and age (<65/≥65 y) separately. Among 320,880 person-years of follow-up, 90 cases of suicide death were documented. There were significant association between instrumental social support and lower risk of suicide death, and the hazard ratio was 0.60 (95% CI: 0.38-0.94). Emotional social support was also associated with a lower risk of suicide death, but not to a significant degree, and the hazard ratio was 0.70 (95% CI: 0.42-1.17). It is suggested that instrumental social support was significantly associated with a lower risk of suicide death, and emotional social support tended to be associated with a lower risk of suicide death.

The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review

BACKGROUND

Machine learning techniques offer promise to improve suicide risk prediction. In the current systematic review, we aimed to review the existing literature on the application of machine learning techniques to predict self-injurious thoughts and behaviors (SITBs).

METHOD

We systematically searched PsycINFO, PsycARTICLES, ERIC, CINAHL, and MEDLINE for articles published through February 2018.

RESULTS

Thirty-five articles met criteria to be included in the review. Included articles were reviewed by outcome: suicide death, suicide attempt, suicide plan, suicidal ideation, suicide risk, and non-suicidal self-injury. We observed three general aims in the use of SITB-focused machine learning analyses: (1) improving prediction accuracy, (2) identifying important model indicators (i.e., variable selection) and indicator interactions, and (3) modeling underlying subgroups. For studies with the aim of boosting predictive accuracy, we observed greater prediction accuracy of SITBs than in previous studies using traditional statistical methods. Studies using machine learning for variable selection purposes have both replicated findings of well-known SITB risk factors and identified novel variables that may augment model performance. Finally, some of these studies have allowed for subgroup identification, which in turn has helped to inform clinical cutoffs.

LIMITATIONS

Limitations of the current review include relatively low paper sample size, inconsistent reporting procedures resulting in an inability to compare model accuracy across studies, and lack of model validation on external samples.

CONCLUSIONS

We concluded that leveraging machine learning techniques to further predictive accuracy and identify novel indicators will aid in the prediction and prevention of suicide.

The role of neuroticism in self-harm and suicidal ideation: results from two UK population-based cohorts

BACKGROUND

Self-harm is common, debilitating and associated with completed suicide and increased all-cause mortality, but there is uncertainty about its causal risk factors, limiting risk assessment and effective management. Neuroticism is a stable personality trait associated with self-harm and suicidal ideation, and correlated with coping styles, but its value as an independent predictor of these outcomes is disputed.

METHODS

Prior history of hospital-treated self-harm was obtained by record-linkage to administrative health data in Generation Scotland:Scottish Family Health Study (N = 15,798; self-harm cases = 339) and by a self-report variable in UK Biobank (N = 35,227; self-harm cases = 772). Neuroticism in both cohorts was measured using the Eysenck Personality Questionnaire-Short Form. Associations of neuroticism with self-harm were tested using multivariable regression following adjustment for age, sex, cognitive ability, educational attainment, socioeconomic deprivation, and relationship status. A subset of GS:SFHS was followed-up with suicidal ideation elicited by self-report (n = 3342, suicidal ideation cases = 158) and coping styles measured by the Coping Inventory for Stressful Situations. The relationship of neuroticism to suicidal ideation, and the role of coping style, was then investigated using multivariable logistic regression.

RESULTS

Neuroticism was positively associated with hospital-associated self-harm in GS:SFHS (per EPQ-SF unit odds ratio 1.2 95% credible interval 1.1-1.2, p_FDR 0.0003) and UKB (per EPQ-SF unit odds ratio 1.1 95% confidence interval 1.1-1.2, p_FDR 9.8 × 10^-17). Neuroticism, and the neuroticism-correlated coping style, emotion-oriented coping (EoC), were also associated with suicidal ideation in multivariable models.

CONCLUSIONS

Neuroticism is an independent predictor of hospital-treated self-harm risk. Neuroticism and emotion-orientated coping styles are also predictive of suicidal ideation.

Neuroticism and suicide in a general population cohort: results from the UK Biobank Project

BACKGROUND

Neuroticism has often been linked to suicidal thoughts and behaviour.

AIMS

To examine whether neuroticism is associated with suicide deaths after adjusting for known risks.

METHOD

UK Biobank participants (n = 389 365) were assessed for neuroticism as well as social, demographic and health-related variables at study entry and followed for up to 10 years. Suicide risk was modelled using Cox regression stratified by gender.

RESULTS

Neuroticism increased the risk of suicide in both men (hazard ratio (HR) = 1.15, 95% CI 1.09-1.22) and women (HR = 1.16, 95% CI 1.06-1.27). In a subsample who were assessed for mood disorders, neuroticism remained a significant predictor for women (HR 1.25, 95% CI 1.03-1.51) but not for men.

CONCLUSIONS

Screening and therapeutic interventions for neuroticism may be important for early suicide prevention.

DECLARATION OF INTEREST

None.

Suicide Behavior and Chronic Pain: An Exploration of Pain-Related Catastrophic Thinking, Disability, and Descriptions of the Pain Experience

This study examined differences in suicidal ideation (SI) and suicide attempts (SAs) among veterans with chronic pain. Pain-specific variables, including catastrophic thinking, disability, and sensory, affective, and evaluative pain descriptors, were a focus. Structured diagnostic and clinical interviews were conducted to examine SI/SA and mental health. Veterans completed the Structured Clinical Interview for DSM-IV and the Columbia-Suicide Severity Rating Scale to assess Axis I symptoms and suicidal behavior(s). Self-report questionnaires were used to evaluate the participants' subjective experience of chronic pain, which included the McGill Pain Questionnaire, Pain Catastrophizing Scale, and Pain Disability Index. The findings add to previous literature by suggesting pain-related catastrophic thinking specifically is related to elevated risk for SA, whereas affective and sensory pain are associated with SI. The study results support the need to assess pain from a multifaceted perspective and to examine the different experiences of pain, such as sensory and affective constructs, when discussing suicide risk in veterans.

Subtypes of suicide attempters based on longitudinal childhood profiles of co-occurring depressive, anxious and aggressive behavior symptoms

Because suicide attempts are multi-determined events, multiple pathways to suicidal behaviors exist. However, as a low-frequency behavior, within group differences in trajectories to attempts may not emerge when examined in samples including non-attempters. We used longitudinal latent profile analysis to identify subtypes specific for suicide attempters based on longitudinal trajectories of childhood clinical symptoms (i.e., depression, anxiety, and aggression measured in 2nd, 4th-7th grades) for 161 young adults (35.6% male; 58.6% African American) who attempted suicide between ages 13-30 from a large, urban community-based, longitudinal prevention trial (n = 2311). Differences in psychiatric diagnoses, suicide attempt characteristics, criminal history and traumatic stress history were studied. Three subtypes emerged: those with all low (n = 32%), all high (n = 16%), and high depressive/anxious, but low aggressive (n = 52%) symptoms. Those with the highest levels of all symptoms were significantly more likely to report a younger age of suicide attempt, and demonstrate more substance abuse disorders and violent criminal histories. Prior studies have found that childhood symptoms of depression, anxiety and aggression are malleable targets; interventions directed at each reduce future risk for suicidal behaviors. Our findings highlight the link of childhood aggression with future suicidal behaviors extending this research by examining childhood symptoms of aggression in the context of depression and anxiety.

Clarifying the role of neuroticism in suicidal ideation and suicide attempt among women with major depressive disorder

BACKGROUND

Prior research consistently demonstrates that neuroticism increases risk for suicidal ideation, but the association between neuroticism and suicidal behavior has been inconsistent. Whereas neuroticism is recommended as an endophenotype for suicidality, the association of neuroticism with attempted suicide warrants clarification. In particular, prior research has not distinguished between correlates of attempted suicide, correlates of suicidal ideation, and correlates of comorbid psychopathology.

METHODS

The present study used the CONVERGE study, a sample of 5864 women with major depressive disorder (MD) and 5783 women without MD throughout China. Diagnoses, suicidal ideation, and attempted suicide were assessed with the Composite International Diagnostic Interview (CIDI). Neuroticism was assessed with the neuroticism portion of the Eysenck Personality Questionnaire.

RESULTS

Results replicate prior findings on the correlates of suicidal ideation, particularly elevated neuroticism among individuals who report prior suicidal ideation. Moreover, as compared with individuals who reported having experienced only suicidal ideation, neuroticism was associated with decreased likelihood of having attempted suicide.

CONCLUSIONS

The association of neuroticism with suicidality is more complicated than has been previously described. Whereas neuroticism increases risk for suicidal ideation, neuroticism may decrease risk for a suicide attempt among individuals with suicidal ideation. These results have implications for the assessment of risk for a suicide attempt among individuals who report suicidal ideation and addresses prior discordant findings by clarifying the association between neuroticism and attempted suicide.

Rumination, Suicidal Ideation, and Suicide Attempts: A Meta-Analytic Review

Rumination has been implicated as a risk factor for suicidal ideation and attempts, yet the literature to date has not been synthesized. We conducted a meta-analysis of the association between rumination and both suicidal ideation and attempts to consolidate the existing literature ( k = 29). Results indicated that the relationships between global rumination ( k = 13; Hedge's g = .74, p < .001, 95% CI [.45, 1.04]), brooding ( k = 12; Hedge's g = .63, p < .001, 95% CI [.35, .90]), and reflection ( k = 12; Hedge's g = .38, p = .002, 95% CI [.10, .65]) with suicidal ideation were significant. Associations between global rumination ( k = 3; Hedge's g = .26, p < .001, 95% CI [.08, .44]) and brooding ( k = 4; Hedge's g = .47, p = .004, 95% CI [.02, .91]) and suicide attempts were significant, but reflection ( k = 4; Hedge's g = .09, p = .646, 95% CI [−.54, .72]) was unrelated. However, given the limited studies included in suicide attempt analyses—and the exclusive use of cross-sectional designs and heterogeneity with regard to samples and measures—these parameters should be taken with caution. Generally, age, gender, race/ethnicity, and year of publication were not moderators, and there was little evidence for publication bias across effects, with the exception of the effect of global rumination on suicidal ideation. Several future research directions are discussed.

Associations between work stress and suicidal ideation: Individual-participant data from six cross-sectional studies

OBJECTIVE

Epidemiological evidence suggests that work stress is associated with suicidal ideation (SI). However, only few studies in this area have drawn on well-established theoretical work stress models (i.e., the job-demand-control [JDC] model, the effort-reward-imbalance [ERI] model, and the model of organizational injustice [OJ]). Utilization of such models allows though for theory-based assessments and workplace interventions. Since evidence on those models' relationship with suicide-related outcomes is currently inconclusive (with regard to JDC), markedly sparse (OJ) or lacking (ERI), we aimed to provide additional or initial evidence.

METHODS

We drew on original data from six cross-sectional studies, which were conducted in four countries (i.e., South Korea, China, Australia, and Germany). Work stress was measured by established questionnaires and was categorized into tertiles. In each study, SI was assessed by either one or two items taken from validated scales. Associations of work stress with SI were estimated for each study and were pooled across studies using multivariate random-effects logistic modeling.

RESULTS

In the pooled analyses (n=12,422) all three work stress models were significantly associated with SI with odds ratios fluctuating around 2. For instance, the pooled odds ratios for highest versus lowest work stress exposure in terms of job strain, OJ, and ERI equalled 1.91 (95% confidence interval [CI]=1.52, 2.41), 1.98 (95% CI=1.48, 2.65), and 2.77 (95% CI=1.57, 4.88), respectively. Patterns of associations were largely consistent across the individual studies.

CONCLUSION

Our study provides robust evidence of a positive association between work stress and SI.

A decision-tree approach to the assessment of posttraumatic stress disorder: Engineering empirically rigorous and ecologically valid assessment measures

Structured diagnostic interviews are widely considered to be the optimal method of assessing symptoms of posttraumatic stress; however, few clinicians report using structured assessments to guide clinical practice. One commonly cited impediment to these assessment approaches is the amount of time required for test administration and interpretation. Empirically keyed methods to reduce the administration time of structured assessments may be a viable solution to increase the use of standardized and reliable diagnostic tools. Thus, the present research conducted an initial feasibility study using a sample of treatment-seeking military veterans (N = 1,517) to develop a truncated assessment protocol based on the Clinician-Administered Posttraumatic Stress Disorder (PTSD) Scale (CAPS). Decision-tree analysis was utilized to identify a subset of predictor variables among the CAPS items that were most predictive of a diagnosis of PTSD. The algorithm-driven, atheoretical sequence of questions reduced the number of items administered by more than 75% and classified the validation sample at 92% accuracy. These results demonstrated the feasibility of developing a protocol to assess PTSD in a way that imposes little assessment burden while still providing a reliable categorization.

Predictors of suicidal ideation in older people: a decision tree analysis

OBJECTIVES

Suicide among older adults is a major public health issue worldwide. Although studies have identified psychological, physical, and social contributors to suicidal thoughts in older adults, few have explored the specific interactions between these factors. This article used a novel statistical approach to explore predictors of suicidal ideation in a community-based sample of older adults.

DESIGN

Prospective cohort study.

PARTICIPANTS AND SETTING

Participants aged 55-85 years were randomly selected from the Hunter Region, a large regional center in New South Wales, Australia.

MEASUREMENTS

Baseline psychological, physical, and social factors, including psychological distress, physical functioning, and social support, were used to predict suicidal ideation at the 5-year follow-up. Classification and regression tree modeling was used to determine specific risk profiles for participants depending on their individual well-being in each of these key areas.

RESULTS

Psychological distress was the strongest predictor, with 25% of people with high distress reporting suicidal ideation. Within high psychological distress, lower physical functioning significantly increased the likelihood of suicidal ideation, with high distress and low functioning being associated with ideation in 50% of cases. A substantial subgroup reported suicidal ideation in the absence of psychological distress; dissatisfaction with social support was the most important predictor among this group. The performance of the model was high (area under the curve: 0.81).

CONCLUSIONS

Decision tree modeling enabled individualized "risk" profiles for suicidal ideation to be determined. Although psychological factors are important for predicting suicidal ideation, both physical and social factors significantly improved the predictive ability of the model. Assessing these factors may enhance identification of older people at risk of suicidal ideation.

Effects of mindfulness-based cognitive therapy on self-reported suicidal ideation: results from a randomised controlled trial in patients with residual depressive symptoms

INTRODUCTION

The aim of the present study was to investigate the effects of mindfulness-based cognitive therapy (MBCT) on suicidal ideation in an open-label randomised controlled trial of patients with residual depressive symptoms. Furthermore, this study aimed at examining whether an effect of MBCT on suicidal ideation was dependent on a reduction in depression severity, worry and rumination, or an increase in mindfulness.

METHODS

One hundred and thirty participants were randomised to a treatment arm (treatment as usual plus MBCT) or a wait list arm. Change in depression, change in worry, change in rumination and change in mindfulness were entered as covariates in a repeated measures ANOVA in order to assess to what degree MBCT-induced changes in suicidal ideation were independent from changes in these parameters.

RESULTS

There was a significant group×time (pre vs. post) interaction on suicidal ideation indicating a significant reduction of suicidal ideation in the MBCT group, but not in the control group. The interaction remained significant after addition of the above covariates. Change in worry was the only covariate associated with change in suicidal ideation, causing a moderate reduction in the interaction effect size.

CONCLUSIONS

The results suggest that MBCT may affect suicidal ideation in patients with residual depressive symptoms and that this effect may be mediated, in part, by participants' enhanced capacity to distance themselves from worrying thoughts.

The psychology of suicidal behaviour

The causes of suicidal behaviour are not fully understood; however, this behaviour clearly results from the complex interaction of many factors. Although many risk factors have been identified, they mostly do not account for why people try to end their lives. In this Review, we describe key recent developments in theoretical, clinical, and empirical psychological science about the emergence of suicidal thoughts and behaviours, and emphasise the central importance of psychological factors. Personality and individual differences, cognitive factors, social aspects, and negative life events are key contributors to suicidal behaviour. Most people struggling with suicidal thoughts and behaviours do not receive treatment. Some evidence suggests that different forms of cognitive and behavioural therapies can reduce the risk of suicide reattempt, but hardly any evidence about factors that protect against suicide is available. The development of innovative psychological and psychosocial treatments needs urgent attention.

Personality traits predict job stress, depression and anxiety among junior physicians

BACKGROUND

High levels of stress and deteriorating mental health among medical students are commonly reported. In Bergen, Norway, we explored the impact of personality traits measured early in their curriculum on stress reactions and levels of depression and anxiety symptoms as junior physicians following graduation.

METHODS

Medical students (n = 201) from two classes participated in a study on personality traits and mental health early in the curriculum. A questionnaire measuring personality traits (Basic Character Inventory (BCI)) was used during their third undergraduate year. BCI assesses four personality traits: neuroticism, extroversion, conscientiousness and reality weakness. Questionnaires measuring mental health (Hospital Anxiety and Depression Scale (HADS) and Symptom Checklist 25 (SCL-25)), and stress (Perceived Medical School Stress (PMSS)) were used during their third and sixth undergraduate year. During postgraduate internship, Cooper's Job Stress Questionnaire (CJSQ) was used to measure perceived job stress, while mental health and stress reactions were reassessed using HADS and SCL-25.

RESULTS

Extroversion had the highest mean value (5.11) among the total group of participants, while reality weakness had the lowest (1.51). Neuroticism and reality weakness were related to high levels of perceived job stress (neuroticism r = .19, reality weakness r = .17) as well as higher levels of anxiety symptoms (neuroticism r = .23, reality weakness r = .33) and symptoms of depression (neuroticism r = .21, reality weakness r = .36) during internship. Neuroticism indirectly predicted stress reactions and levels of depression and anxiety symptoms. These relations were mediated by perceived job stress, while reality weakness predicted these mental health measures directly. Extroversion, on the other hand, protected against symptoms of depression (r = -.20). Furthermore, females reported higher levels of job stress than males (difference = 7.52).

CONCLUSIONS

Certain personality traits measured early in the course of medical school relates to mental health status as junior physicians during postgraduate internship training. This relation is mediated by high levels of perceived job stress.

Longitudinal course and predictors of suicidal ideation in a rural community sample

OBJECTIVE

Suicide rates in rural Australia are higher than in urban areas. No existing research has explored the long-term patterns and predictors of change in suicidal ideation within rural areas. This report uses longitudinal data and multiple time points to determine predictors of the trajectory of suicidal ideation in rural Australia.

METHOD

Participants in the Australian Rural Mental Health Study (ARMHS) completed self-report surveys at baseline, 12 and 36 months, reporting their psychological and social well-being, and suicidal ideation. Generalised linear mixed models explored these factors as correlates and predictors of suicidal ideation across 3 years using multiple data points.

RESULTS

A total of 2135 participants completed at least one wave of ARMHS, and hence were included in the current analysis. Overall, 8.1% reported suicidal ideation during at least one study wave, 76% of whom reported suicidal ideation intermittently rather than consistently across waves. Across the three time points, suicidal ideation was significantly associated with higher psychological distress (OR 1.30, 95% CI 1.23 to 1.37), neuroticism (OR 1.15, 95% CI 1.04 to 1.27), and availability of support (OR 0.80, 95% CI 0.69 to 0.92), with a non-significant association with unemployment (OR 1.73, 95% CI 0.93 to 3.24) even after controlling for the effects of perceived financial hardship. Future suicidal ideation was significantly predicted by distress (OR 1.16, 95% CI 1.09 to 1.23) and neuroticism (OR 1.17, 95% CI 1.03 to 1.32), with a non-significant association with unemployment (OR 2.11, 95% CI 0.41 to 2.27). Predictive effects for marital status, social networks, sense of community and availability of support did not remain significant in the full multivariate analysis.

CONCLUSIONS

Fluctuations in suicidal ideation are common, and may be associated with changes in psychological and social well-being. Public health strategies, focusing on encouraging help-seeking among those with higher psychological distress, lower social support, and unstable or absent employment opportunities, may be a useful long-term initiative to reduce the prevalence of suicidal ideation in the general rural community.

Life-time and current suicide-ideation in Australian secondary school students: Socio-demographic, health and psychological predictors

BACKGROUND

This study involved a multi-level analysis of factors related to self-reported suicidality (both current and life-time) in adolescents

METHODS

A sample of 2552 students aged 14-16 years answered questions relating to demographics, social and familial functioning, psychological well-being and suicidality.

RESULTS

Suicidality, defined as being at least some element of reported suicide ideation, Behaviourally, suicidality was also more likely if students smoked, drank alcohol without adult supervision or if they took illicit drugs was more likely in girls, and in those with poorer social, family and psychological functioning. Behaviourally, suicidality was also more likely if students smoked, drank alcohol or took illicit drugs. Multi-level modelling showed that negative affect, substance use and the presence of romantic relationships were most strongly associated with suicidality. Both current and life-time measures of suicidality showed similar results. Both models suggested that the presence of substance use in teenagers is a potentially useful indicator of elevated suicide risk and that many of the social problems commonly associated with suicidality are likely to be mediated by negative affective states.

LIMITATIONS

The study had several limitations. First, it was cross-sectional so it was not possible to examine how variables measured at one time predicted subsequent suicidality. Second, the present analyses were based on a single measure of suicidality that did not differentiate between ideation and attempts. Thus, the analyses did not indicate the severity of the suicidality: whether it involved ideation or actual attempts.

CONCLUSIONS

Adolescent girls and adolescents with poor social and family functioning and those who engage in substance use are at risk of suicidal ideation (a known precursor of suicide attempts). School counsellors and teachers need to be aware of the risks.

Anxiety symptoms as precursors of major depression and suicidal ideation

BACKGROUND

Relative to depression symptoms, the role of anxiety symptoms in the development of depression and suicidal ideation has not been well established. This study aimed to identify the anxiety and depression symptoms that confer the greatest amount of risk for depression and suicidal ideation at the population level.

METHOD

The PATH through Life study is an Australian community-based longitudinal cohort study of 7,485 younger, middle-aged, and older adults. Adjusted population attributable risk (PAR) for incident depression and suicidal ideation after 4 years was assessed for 18 symptoms of anxiety and depression.

RESULTS

Anxiety symptoms contributed greater risk overall to both depression (45%) and suicidal ideation (23%) incidence than depression symptoms (35% and 16%, respectively). Anxiety symptoms had largest PARs among younger age groups.

CONCLUSIONS

Prevention programs for depression and suicide should aim to reduce anxiety symptoms in addition to depression symptoms, and target individuals reporting symptoms such as worrying or irritability.