Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value

The effects of psychological interventions on suicide for cancer patients: a systematic review and network meta-analysis

Numerous psychological interventions are available for suicidal and death ideation (SDI) and suicidal behavior among cancer patients. To identify the optimal psychological interventions for reducing SDI and suicidal behavior in cancer patients. However, it remains unclear which psychological intervention is the most effective. We performed a pairwise and network meta-analysis by searching seven databases from the date of inception until 8 April 2022. An important focus of this network meta-analysis was the comparison of the effects of various psychological interventions on the reduction of SDI and suicidal behavior among cancer patients. For determining efficacy, we used standardized mean differences (SMDs) and 95% confidence intervals (CIs). Besides, a pairwise meta-analysis, inconsistency test, network meta-analysis, the surface under the cumulative rankings curve (SUCRA), comparison-adjusted funnel plot, subgroup analysis, and sensitivity analysis were also carried out. A total of 8 studies involving 1,350 patients were searched in this study. It showed that empathy therapy (SUCRA = 95.3%) has the best effect among the six interventions. Comprehensive psychological intervention (SUCRA = 77.6%) was ranked in the top two positions, followed by meaning-centered therapy (SUCRA = 40.7%). Comparison-adjusted funnel plots revealed no significant publication bias. In addition, our conclusions have not changed significantly after the sensitivity analysis. In this network meta-analysis, empathy therapy was identified as the optimal choice for reducing SDI and suicidal behaviors in cancer patients. Further multi-center and high-quality RCT studies should be conducted to make our conclusion more rigorous.

Prevalence and associated risk factors for suicidal ideation, non-suicidal self-injury and suicide attempt among male construction workers in Ireland

BACKGROUND

Suicide among male construction workers are reported to be disproportionally high compared to the working age population. However, there is minimal understanding of the prevalence and associated factors for suicidal ideation, non-suicidal self-injury, and suicide attempt among this occupational group globally.

METHODS

A cross-sectional study was conducted on a large sample of male construction workers in Ireland (n = 1,585). We investigated the prevalence of suicidal ideation, non-suicidal self-injury and suicide attempts and sociodemographic, occupational, and mental health factors associated with these three outcomes. Multivariable Poisson regression was performed to estimate the prevalence rate ratio of suicidal ideation (model 1 primary outcome), while multivariable logistic regression was used to estimate the odds ratio of non-suicidal self-injury (model 2 primary outcome), and suicide attempt (model 3 primary outcome).

RESULTS

The lifetime prevalence rate for suicidal ideation was 22%, 6% for non-suicidal self-injury, and 6% for suicide attempt. In univariate modelling, socio-demographic and occupation-specific factors associated with the three outcomes included younger age (suicidal ideation and non-suicidal self-injury), not being in a relationship (suicide attempt) and working 35-44 h per week (suicidal ideation and suicide attempt). The mental health factors generalized anxiety disorder, depression, and suicide bereavement were significantly associated with increased risk of the three outcomes. In fully adjusted multivariable models, increasing severity of generalized anxiety disorder and depression were associated with an increased prevalence rate ratio of suicidal ideation, and a higher odds ratio of non-suicidal self-injury and suicide attempt.

CONCLUSION

Suicidal ideation, non-suicidal self-injury and suicide attempt are significant issues for male construction workers that require specific attention. Findings highlight a need to support younger male construction workers and those bereaved by suicide. They also highlight the need for the early detection and treatment of generalized anxiety disorder and depression in order to intervene in, and potentially prevent, suicidality among male construction workers.

Neurological, Metabolic, and Psychopathological Correlates of Lifetime Suicidal Behaviour in Major Depressive Disorder without Current Suicide Ideation

INTRODUCTION

Suicidal behaviour (SB) has a complex aetiology. Although suicidal ideation (SI) is considered the most important risk factor for future attempts, many people who engage in SB do not report it.

METHODS

We investigated neurological, metabolic, and psychopathological correlates of lifetime SB in two independent groups of patients with major depression (sample 1: n = 230; age: 18-65 years; sample 2: n = 258; age >60 years) who did not report SI during an index episode.

RESULTS

Among adults (sample 1), SB was reported by 141 subjects (58.7%) and severe SB by 33 (15%). After controlling for interactions, four risk factors for SB emerged: male gender (OR 2.55; 95% CI: 1.06-6.12), negative self-perception (OR 1.76; 95% CI: 1.08-2.87), subthreshold hypomania (OR 4.50; 95% CI: 1.57-12.85), and sexual abuse (OR 3.09; 95% CI: 1.28-7.48). The presence of at least two of these factors had the best accuracy in predicting SB: sensitivity = 57.6% (39.2-74.5); specificity = 75.1% (68.5-82.0); PPV = 27.9% (20.9-37.2); NPV = 91.4% (87.6-94.1). In older patients (sample 2), 23 subjects (9%) reported previous suicide attempts, which were characterized by earlier onset (25 years: OR 0.95: 0.92-0.98), impaired verbal performance (verbal fluency: OR 0.95: 0.89-0.99), higher HDL cholesterol levels (OR 1.04: 1.00-1.07) and more dyskinesias (OR 2.86: 1.22-6.70).

CONCLUSION

Our findings suggest that SB is common in major depressive disorder, even when SI is not reported. In these individuals it is feasible and recommended to investigate both psychiatric and organic risk factors. The predictive power of models excluding SI is comparable to that of models including SI.

Prevalence of suicidal thoughts and behaviors among young adults between 2000 and 2021: Results from six national representative surveys in France

The study examines the prevalence of 12-month suicidal thoughts and lifetime suicide behaviors among young adults between 2000 and 2021. Data were drawn from the Health Barometer survey, a cross-sectional survey on a French national representative sample. The 2000, 2005, 2010, 2014, 2017, and 2021 survey waves were pooled to examine time trends in 12-month suicidal thoughts and lifetime suicidal behaviors among respondents aged 18 to 25 (n = 13,326), categorized based on sex and on their occupational status: students, those employed, and those who are neither in employment, education or training (NEETs). The 12-month prevalence of suicidal ideation among young adults in 2021 (6.8 %) is no different from that of 2000 (7.0 %), despite a U-shape curve in between. In contrast, the overall prevalence of lifetime suicide attempts was significantly higher in 2021 as compared to what was observed on average in the previous 21 years. In multivariate models, females and NEETs were overall at greatest risk for suicidal ideation and suicidal behaviors. Additional attention and prevention efforts are needed to reach young adults who are neither in employment, education or training.

Digital safety plan effectiveness and use: Findings from a three-month longitudinal study

Few studies have examined the effectiveness of self-guided smartphone apps for suicide safety planning, despite their increasing use. Participants (n = 610) were self-selected users of the Beyond Now suicide prevention safety planning app with a history of suicidal thoughts and behaviours. Surveys were completed (baseline, one and three months), safety plan content and app usage data was shared. Repeated-measures ANOVAs examined changes in suicidal ideation and suicide-related coping over three months. Multiple regression models were used to predict suicidal ideation and suicide-related coping at one- and three-month follow-ups with plan-related variables: perceived usefulness, personalised content, app use time and co-authoring of the plan with a third party. Significant reductions in suicidal ideation and increases in suicide-related coping were found over three months. Higher suicide-related coping at three months predicted lower suicidal ideation. Higher perceived usefulness and personalised content at three months were associated with higher suicide-related coping, but not suicidal ideation. App use time and co-authoring were not significantly related to suicidal ideation or suicide-related coping. Practitioners should empower clients to create safety plans with personalised (not generic) strategies that a client perceives to be useful. Such plans may strengthen beliefs about coping with suicidal ideation, which in turn reduces suicidal ideation over time.

Suicide ideation and male-female differences in major depressive disorder

OBJECTIVE

This study aimed to explore male-female differences in suicide ideation (SI) and suicide risk factors in major depressive disorder (MDD).

METHODS

We analysed 482 adults (sample 1) and 438 elderly outpatients (sample 2) with MDD. Sample 1 was treated with different antidepressant combinations (escitalopram; bupropion plus escitalopram; venlafaxine plus mirtazapine) and assessed by means of the Concise Health Risk Tracking (SI), Quick Inventory of Depressive Symptomatology, Altman Mania Rating Scale and Psychiatric Diagnostic Screening Questionnaire. Sample 2 was treated with venlafaxine and assessed using the Hamilton scale for depression, Anxiety Sensitivity Index and Penn State Worry Questionnaire for anxiety, Beck Scale for Suicide Ideation and Repeatable Battery for the Assessment of Neuropsychological Status.

RESULTS

In sample 1, females had greater depression severity (O.R 0.961 99%CI: 0.929 - 0.995), males reported more alcohol abuse (O.R 1.299 99%CI: 1.118 - 1.509) and active SI (O.R 1.109 99%CI: 1.005 - 1.255). In sample 2 men showed more severe SI (O.R 1.067; 99%CI: 1.014 - 1.122) and weight loss (OR = 5.89 99%CI: 1.01 - 34.19), women more gastrointestinal symptoms.

CONCLUSIONS

In these selected samples, although women had more severe depression, men had more suicide risk factors. Such differences might contribute to men's increased suicide risk.

Examining the integrated model of the interpersonal-psychological theory of suicide and intersectionality theory among Black male adolescents

INTRODUCTION

Guided by Opara et al.'s (2022), Integrated Model of the Interpersonal Psychological Theory of Suicide and Intersectionality Theory, the current study examined contextual stressors experienced disparately by Black youth (racial discrimination, poverty, and community violence) as moderators of the association between individual motivating factors for suicidal thoughts and behaviors (perceived burdensomeness, thwarted belongingness, and hopelessness) and active suicidal ideation.

METHOD

Participants were 457 Black adolescent boys (mean age = 15.31, SD = 1.26) who completed self-report surveys.

RESULTS

As predicted, the association between perceived burdensomeness and active suicidal ideation was significantly moderated by economic stress. In addition, the association between peer belongingness and suicidal ideation was significantly moderated by racial discrimination, but there were no moderating effects for school belongingness. Finally, the association between hopelessness and suicidal ideation was significantly moderated by both racial discrimination and witnessing community violence.

CONCLUSION

These findings highlight the need for research, interventions, and policy work devoted to using integrated approaches of individual and socioeconomically relevant patterns of suicidal thoughts and behaviors to support Black youth exposed to various forms of structural oppression.

Embers of the Past: Early Childhood Traumas Interact with Variation in P2RX7 Gene Implicated in Neuroinflammation on Markers of Current Suicide Risk

Both early childhood traumatic experiences and current stress increase the risk of suicidal behaviour, in which immune activation might play a role. Previous research suggests an association between mood disorders and P2RX7 gene encoding P2X7 receptors, which stimulate neuroinflammation. We investigated the effect of P2RX7 variation in interaction with early childhood adversities and traumas and recent stressors on lifetime suicide attempts and current suicide risk markers. Overall, 1644 participants completed questionnaires assessing childhood adversities, recent negative life events, and provided information about previous suicide attempts and current suicide risk-related markers, including thoughts of ending their life, death, and hopelessness. Subjects were genotyped for 681 SNPs in the P2RX7 gene, 335 of which passed quality control and were entered into logistic and linear regression models, followed by a clumping procedure to identify clumps of SNPs with a significant main and interaction effect. We identified two significant clumps with a main effect on current suicidal ideation with top SNPs rs641940 and rs1653613. In interaction with childhood trauma, we identified a clump with top SNP psy_rs11615992 and another clump on hopelessness containing rs78473339 as index SNP. Our results suggest that P2RX7 variation may mediate the effect of early childhood adversities and traumas on later emergence of suicide risk.

Factors related to suicidal ideation of schizophrenia patients in China: a study based on decision tree and logistic regression model

This study aimed to investigate the factors associated with suicidal ideation in schizophrenia patients in China using decision tree and logistic regression models. From October 2020 to March 2022, patients with schizophrenia were chosen from Chifeng Anding Hospital and Daqing Third Hospital in Heilongjiang Province. A total of 300 patients with schizophrenia who met the inclusion criteria were investigated by questionnaire. The questionnaire covered general data, suicidal ideation, childhood trauma, social support, depressive symptoms and psychological resilience. Logistic regression analysis revealed that childhood trauma and depressive symptoms were risk factors for suicidal ideation in schizophrenia (OR = 2.330, 95%CI: 1.177 ~ 4.614; OR = 10.619, 95%CI: 5.199 ~ 21.688), while psychological resilience was a protective factor for suicidal ideation in schizophrenia (OR = 0.173, 95%CI: 0.073 ~ 0.409). The results of the decision tree model analysis demonstrated that depressive symptoms, psychological resilience and childhood trauma were influential factors for suicidal ideation in patients with schizophrenia (p < 0.05). The area under the ROC for the logistic regression model and the decision tree model were 0.868 (95% CI: 0.821 ~ 0.916) and 0.863 (95% CI: 0.814 ~ 0.912) respectively, indicating excellent accuracy of the models. Meanwhile, the logistic regression model had a sensitivity of 0.834 and a specificity of 0.743 when the Youden index was at its maximum. The decision tree model had a sensitivity of 0.768 and a specificity of 0.8. Decision trees in combination with logistic regression models are of high value in the study of factors influencing suicidal ideation in schizophrenia patients.

Child and Adolescent Psychopathology and Subsequent Harmful Behaviors Associated with Premature Mortality: A Selective Review and Future Directions

In the United States (U.S.), premature mortality in adulthood from suicide, alcohol-related disease, and substance overdoses has increased steadily over the past two decades. To better understand these trends, it is necessary to first examine the harmful behaviors that often precede these preventable deaths (i.e., suicidal ideation and attempts, and harmful alcohol and substance use). Representing critical developmental periods in which psychopathology is most likely to emerge, childhood and adolescence provide an informative lens through which to investigate susceptibility to harmful behaviors. This article synthesizes current evidence describing these rising U.S. mortality rates and the prevalence rates of harmful behaviors linked to these types of mortality. A brief selective review of longitudinal research on harmful behaviors in relation to the most relevant categories of child and adolescent psychopathology is then provided. Finally, recommendations for future research and implications for prevention are discussed.

Development and Validation of the Fearlessness About Suicide Scale

Recent work has identified fearlessness about suicide, rather than fearlessness about death, as more theoretically relevant in the assessment of capability for suicide and thus a more appropriate construct of measurement. The aim of the current project was to develop and validate a scale specifically assessing fearlessness about suicide. Across two studies, support for a 7-item, single-factor structure of the Fearlessness About Suicide Scale (FSS) emerged. The FSS factor structure demonstrated a good fit in the first study and was replicated in the second study. Measurement invariance was examined across those identifying as men and women and found to be comparable. The FSS also demonstrated test-rest reliability and good convergent and divergent validity in community and undergraduate samples. Overall, findings indicate that the FSS has a replicable factor structure that generalizes across those identifying as men and women and may better assess components of capability for suicide than existing scales.

Blending Video Therapy and Digital Self-Help for Individuals With Suicidal Ideation: Intervention Design and a Qualitative Study Within the Development Process

BACKGROUND

Digital formats have the potential to enhance accessibility to care for individuals with suicidal ideation. However, digital self-help interventions have faced limitations, including small effect sizes in reducing suicidal ideation, low adherence, and safety concerns.

OBJECTIVE

Therefore, we aimed to develop a remote blended cognitive behavioral therapy intervention that specifically targets suicidal ideation by blending video therapy with web-based self-help modules. The objective of this paper is to describe the collaborative development process and the resulting intervention and treatment rationale.

METHODS

First, we compiled intervention components from established treatment manuals designed for people with suicidal ideation or behavior, resulting in the development of 11 drafts of web-based modules. Second, we conducted a qualitative study, involving 5 licensed psychotherapists and 3 lay counselors specialized in individuals with suicidal ideation who reviewed these module drafts. Data were collected using the think-aloud method and semistructured interviews, and a qualitative content analysis was performed. The 4 a priori main categories of interest were blended care for individuals with suicidal ideation, contents of web-based modules, usability of modules, and layout. Subcategories emerged inductively from the interview transcripts. Finally, informed by previous treatment manuals and qualitative findings, we developed the remote blended treatment program.

RESULTS

The participants suggested that therapists should thoroughly prepare the web-based therapy with patients to tailor the therapy to each individual's needs. Participants emphasized that the web-based modules should explain concepts in a simple manner, convey empathy and validation, and include reminders for the safety plan. In addition, participants highlighted the need for a simple navigation and layout. Taking these recommendations into account, we developed a fully remote blended cognitive behavioral therapy intervention comprising 12 video therapy sessions and up to 31 web-based modules. The treatment involves collaboratively developing a personalized treatment plan to address individual suicidal drivers.

CONCLUSIONS

This remote treatment takes advantage of the high accessibility of digital formats while incorporating full sessions with a therapist. In a subsequent pilot trial, we will seek input from individuals with lived experience and therapists to test the feasibility of the treatment.

A national examination of suicidal ideation, planning, and attempts among United States adults: Differences by military veteran status, 2008-2019

There is a widening disparity in suicide deaths between United States (U.S.) military veterans and nonveterans. However, it is unclear if there are similar differences in suicidal ideation, planning, and attempts that often precipitate these deaths. A better understanding of trends in suicidal thoughts and behaviors could illuminate opportunities for prevention. We examined pooled cross-sectional data (N = 479,801 adults) from the 2008 to 2019 National Survey on Drug Use and Health. We examined differences in past-year suicidal ideation, suicide planning, and suicide attempts between U.S. veterans (n = 26,508) and nonveterans (n = 453,293). We conducted post hoc analyses to examine for differences in these relationships by race/ethnicity and sex. Lastly, we examined trends in these outcomes over time and tested for differences in trends by veteran status. Overall, veterans had significantly greater odds of past-year suicidal ideation (aOR = 1.33, 95% CI 1.20 to 1.47) and suicide planning (aOR = 1.52, 95% CI 1.30 to 1.78) compared to nonveterans. However, the association between veteran status and past-year suicide attempt was not statistically significant (aOR = 1.29, 95% CI 1.00 to 1.68). These relationships did not differ by race/ethnicity or sex (ps > 0.05). Among all adults, there were significant linear increases in past-year suicidal ideation, planning, and attempts (ps < 0.001). However, these trends did not differ between veterans and nonveterans (ps > 0.05). Veterans may be more likely to experience suicidal thoughts and behaviors than nonveteran adults. Upward trends in suicidal thoughts and behaviors among both veterans and nonveterans from 2008 to 2019 highlight opportunities for intervention.

Comparative analysis of the effect of interactive audio-visual based art therapy and music therapy in reducing suicidal ideation among school children who survived abduction

This study looked at how exposure to interactive TV-based music and art therapy could assist in reducing suicidal thoughts of secondary school female children who survived abduction in Nigeria. A quasi-experiment was carried out in three randomly selected secondary schools in Northern Nigeria. The study sample comprised 470 students divided into three groups to form control group 235, art therapy group 118 and music therapy group 117. Results suggest that participants exposed to interactive TV-based art therapy and music therapy reported a lower score for suicidal ideation compared to the control group that was not exposed to any form of therapy aside from routine clinic checkups. Specifically, those exposed to interactive TV-based art therapy reported a lesser suicidal ideation score than the music and the control group. We recommend the introduction of interactive TV-based music therapy and art therapy in reducing suicidal ideation among children that survived kidnapping in Nigeria.

Association between early suicidal trajectories in first-episode psychosis and 10-year follow-up: TIPS registry-linked study

BACKGROUND

Although the risk of suicidality is high in first-episode psychosis, patterns and individual variability in suicidal thoughts and behaviours over time are under-researched. We aimed to identify early trajectories of suicidality over a 2-year follow-up, assess their baseline predictors, and explore associations between those trajectories and later suicidality.

METHODS

This longitudinal follow-up study was a part of the Early Treatment and Intervention in Psychosis (TIPS)study. Participants, linked to Norwegian and Danish death registries, were recruited from four catchment areas (665 000 inhabitants) in Norway and Denmark (both inpatient and outpatient). We included participants aged 15-65 years, with an intelligence quotient of more than 70, willing to give informed consent, and with a first episode of active psychotic symptoms. Individuals with comorbid neurological or endocrinal disorders, or those with contraindications to antipsychotics, were excluded. Growth mixture modelling was used to identify trajectories of suicidal thoughts and behaviours over the first 2 years. Multinomial logistic regression was applied to examine the baseline predictors of those trajectories and their associations with suicidality at 10-year follow-up.

FINDINGS

A total of 301 participants were recruited from Jan 1, 1997, to Dec 31, 2000. Of the 299 with completed suicidality data at baseline, 271 participated in 1-year follow-up, 250 in 2-year follow-up, 201 in 5-year follow-up, and 186 at 10-year follow-up. At baseline, 176 (58%) were male, 125 (42%) were female. The mean age was 27·80 years (SD 9·64; range 15-63). 280 (93%) participants were of Scandinavian origin. Four trajectories over 2 years were identified: stable non-suicidal (217 [72%]), stable suicidal ideation (45 [15%]), decreasing suicidal thoughts and behaviours (21 [7%]), and worsening suicidal thoughts and behaviours (18 [6%]). A longer duration of untreated psychosis (odds ratio [OR] 1·24, 95% CI 1·02-1·50, p=0·033), poorer premorbid childhood social adjustment (1·33, 1·01-1·73, p=0·039), more severe depression (1·10, 1·02-1·20, p=0·016), and substance use (2·33, 1·21-4·46, p=0·011) at baseline predicted a stable suicidal ideation trajectory. Individuals in the stable suicidal ideation trajectory tended to have suicidal thoughts and behaviours at 10-year follow-up (3·12, 1·33-7·25, p=0·008). Individuals with a worsening suicidal trajectory were at a higher risk of death by suicide between 2 and 10 years (7·58, 1·53-37·62, p=0·013).

INTERPRETATION

Distinct suicidal trajectories in first-episode psychosis were associated with specific predictors at baseline and distinct patterns of suicidality over time. Our findings call for early and targeted interventions for at-risk individuals with persistent suicidal ideation or deteriorating patterns of suicidal thoughts and behaviours, or both.

FUNDING

Health West, Norway; the Norwegian National Research Council; the Norwegian Department of Health and Social Affairs; the National Council for Mental Health and Health and Rehabilitation; the Theodore and Vada Stanley Foundation; the Regional Health Research Foundation for Eastern Region, Denmark; Roskilde County, Helsefonden, Lundbeck Pharma; Eli Lilly; Janssen-Cilag Pharmaceuticals, Denmark; a National Alliance for Research on Schizophrenia and Depression Distinguished Investigator Award and The National Institute of Mental Health grant; a National Alliance for Research on Schizophrenia & Depression Young Investigator Award from The Brain & Behavior Research Foundation; Health South East; Health West; and the Regional Centre for Clinical Research in Psychosis.

Culturally grounded strategies for suicide and alcohol risk prevention delivered by rural Alaska Native communities: A dynamic wait-listed design evaluation of the Qungasvik intervention

We examined the effectiveness of the Qungasvik (Tools for Life) intervention in enhancing protective factors as a universal suicide and alcohol prevention strategy for young people ages 12-18 living in highly affected rural Alaska Native communities. Four communities were assigned to immediate intervention or to a dynamic wait list. Outcomes were analyzed for 239 young people at four time points over two years of community intervention. Outcomes assessed two ultimate variable protective factors buffering suicide and alcohol risk, and three intermediate variable protective factors at the individual, family, and community level. Dose dependent intervention effects were associated with growth in ultimate but not intermediate variables. This evaluation of the Qungasvik intervention provides support for the effectiveness of its Indigenous strategies for suicide and alcohol misuse prevention in this rural Alaska Native setting. Though findings did not provide support for a theory of change where growth in ultimate variables is occasioned through effects on intermediate variables, research designs focused on young people who enter intervention at lower levels of preexisting protection hold promise for better understanding of intervention change processes. The Qungasvik intervention is responsive to an acute public health need for effective rural Alaska Native suicide and alcohol risk prevention strategies.

Future-Oriented Group Training for suicidal individuals: A randomized controlled trial

INTRODUCTION

Suicide is a serious public health concern worldwide. Current psychological interventions targeting suicidal ideation and behavior are, however, limited and often lack convincing empirical support. Future-Oriented Group Training (FOGT) targets crucial aspects of the suicidal process, thus possibly offering a promising intervention for suicidal ideation. This study aimed at investigating the short-term and long-term effects of FOGT on suicidal thoughts and related variables.

METHODS

A randomized controlled trial was conducted, comparing the intervention group (FOGT + treatment as usual (TAU)) to a control group (TAU) at pre and posttreatment and at a 12-week follow-up. Suicidal ideation was the primary outcome, while depressive symptoms, hopelessness, defeat, entrapment, worrying, and the ability for future-oriented thinking were secondary outcomes.

RESULTS

When compared to the control group, the intervention group showed significant decreases in worrying at posttreatment and significant increases in future-oriented thinking at follow-up. Pre-post analyses within the intervention group showed significant small-to-medium effects for primary as well as most secondary outcomes. Changes in suicidal ideation, depression, hopelessness, and future-oriented thinking remained significant at follow-up.

CONCLUSION

This study provides promising empirical evidence for the use of FOGT for individuals with suicidal ideation.

Physician distress: Where are we and what can be done

Depression, suicidal ideation, burnout, and moral injury are on the rise among physicians. Depression and suicidal ideation are mental health disorders that result from multiple interacting factors including biological vulnerabilities and acute stressors. Medical treatment for depression and suicidal ideation is critical to interrupt the potentially deadly progression to suicide that occurs when one's ability to find hope and other solutions is clouded by despair. Yet, stigma and perceived stigma of seeking treatment for mental health disorders still plagues medical providers. Transitions during medical training and practice can be particularly vulnerable time periods, though newer evidence suggests that overall, physicians are not at an increased risk of suicide compared to the general population. While burnout and moral injury are common among rehabilitation physicians, unlike depression, they are not directly associated with suicidal ideation. Opportunities for continued improvement in mental health resources and institutional support exist across the spectrum from medical student to staff physician. With wellness now increasingly supported and promoted by various medical organizations and recognition of the importance of access to effective mental health treatment, regaining hope and positivity while restoring resiliency in physicians, trainees, and medical students is possible.

Mental Health Analysis in Social Media Posts: A Survey

The surge in internet use to express personal thoughts and beliefs makes it increasingly feasible for the social NLP research community to find and validate associations between social media posts and mental health status. Cross-sectional and longitudinal studies of social media data bring to fore the importance of real-time responsible AI models for mental health analysis. Aiming to classify the research directions for social computing and tracking advances in the development of machine learning (ML) and deep learning (DL) based models, we propose a comprehensive survey on quantifying mental health on social media. We compose a taxonomy for mental healthcare and highlight recent attempts in examining social well-being with personal writings on social media. We define all the possible research directions for mental healthcare and investigate a thread of handling online social media data for stress, depression and suicide detection for this work. The key features of this manuscript are (i) feature extraction and classification, (ii) recent advancements in AI models, (iii) publicly available dataset, (iv) new frontiers and future research directions. We compile this information to introduce young research and academic practitioners with the field of computational intelligence for mental health analysis on social media. In this manuscript, we carry out a quantitative synthesis and a qualitative review with the corpus of over 92 potential research articles. In this context, we release the collection of existing work on suicide detection in an easily accessible and updatable repository:https://github.com/drmuskangarg/mentalhealthcare.

Thoughts of suicide or self-harm among Australian healthcare workers during the COVID-19 pandemic

OBJECTIVE

To identify the prevalence and predictors of (a) thoughts of suicide or self-harm among healthcare workers during the COVID-19 pandemic and (b) help-seeking among those healthcare workers with thoughts of suicide or self-harm.

METHOD

Analysis of data from the Australian COVID-19 Frontline Healthcare Workers Study, an online survey of healthcare workers conducted during the second wave of the COVID-19 pandemic in Australia. Outcomes of interest were thoughts of suicide or self-harm as measured through the Patient Health Questionnaire for depression and help-seeking behaviours.

RESULTS

Overall, 819 (10.5%) of 7795 healthcare workers reported thoughts of suicide or self-harm over a 2-week period. Healthcare workers with these thoughts experienced higher rates of depression, anxiety, post-traumatic stress disorder and burnout than their peers. In multivariable models, the odds of suicide or self-harm thoughts were higher among workers who had friends or family infected with COVID-19 (odds ratio = 1.24, 95% confidence interval = [1.06, 1.47]), were living alone (odds ratio = 1.32, 95% confidence interval = [1.06, 1.64]), younger (⩽30 years cf. >50 years; odds ratio = 1.70, 95% confidence interval = 1.36-2.13), male (odds ratio = 1.81, 95% confidence interval = [1.49, 2.20]), had increased alcohol use (odds ratio = 1.58, 95% confidence interval = [1.35, 1.86]), poor physical health (odds ratio = 1.62, 95% confidence interval = [1.36, 1.92]), increased income worries (odds ratio = 1.81, 95% confidence interval = [1.54, 2.12]) or prior mental illness (odds ratio = 3.27, 95% confidence interval = [2.80, 3.82]). Having dependent children was protective (odds ratio = 0.75, 95% confidence interval = [0.61, 0.92]). Fewer than half (388/819) of the healthcare workers who reported thoughts of suicide or self-harm sought professional support. Healthcare workers with thoughts of suicide or self-harm were more likely to seek support if they were younger (⩽30 years cf. >50 years; odds ratio = 1.78, 95% confidence interval = [1.13, 2.82]) or had prior mental health concerns (odds ratio = 4.47, 95% confidence interval = [3.25, 6.14]).

CONCLUSION

One in 10 Australian healthcare workers reported thoughts of suicide or self-harm during the pandemic, with certain groups being more vulnerable. Most healthcare workers with thoughts of suicide or self-harm did not seek professional help. Strong and sustained action to protect the safety of healthcare workers, and provide meaningful support, is urgently needed.

Suicidal Ideation in the Australian Construction Industry: Prevalence and the Associations of Psychosocial Job Adversity and Adherence to Traditional Masculine Norms

BACKGROUND

Suicide in the Australian Construction Industry (ACI) is a significant issue, however minimal understanding of suicidal ideation prevalence, as well as the potential role psychosocial job adversity and increased adherence to traditional masculine norms may play in its presence, is apparent.

METHOD

A representative sample of Australian men (n = 11,132) were used to create initial understandings of prevalence of suicidal ideation (past two weeks), psychosocial job adversities and level of adherence to traditional masculine norms for the ACI (n = 1721) in comparison to a general population comprised of the remaining employed males from Other Industries (n = 9411). Additionally, due to their reported increased suicide vulnerability investigation of associations between suicidal ideation, psychosocial job adversities and adherence to traditional masculine norms for the ACI were undertaken.

RESULTS

No difference in suicidal ideation prevalence was reported between the ACI and those employed in Other Industries (p > 0.05), however, increased prevalence of psychosocial job adversities (p ≤ 0.001) and adherence to traditional masculine norms (p ≤ 0.001) for the ACI was seen. Significant multivariate associations between suicidal ideation, psychosocial job adversities (OR = 1.79, 95%CI [1.12-2.85]) and two domains of traditional masculine norms, self-reliance (OR = 1.29, 95%CI [1.09-1.51]) and risk-taking (OR = 1.20, 95%CI [1.01-1.41]), were reported.

CONCLUSION

Results suggest need for increased understanding of later stage suicidal trajectory drivers in the ACI. Findings indicate need for prevention group/industry concentration on mitigation of psychosocial job adversities, as well as a more nuanced and increased discussion of the negative role of self-reliance and risk-taking domains of traditional masculine norms may play in ACI suicidal ideation, as opposed to the construct as a whole.

Avoidant restrictive food intake disorder and suicidal ideation

Most DSM-5 eating disorder diagnoses are associated with elevated suicide risk; however, little is known about the relationship between Avoidant/Restrictive Food Intake Disorder (ARFID) and suicidal ideation. The aim of the current study was to examine suicidal ideation within an adult ARFID sample. Patients with eating disorders (N = 936), some of whom met criteria for a current DSM-5 diagnosis of ARFID (n = 79), completed the Beck Depression Inventory II Item 9, regarding suicidal ideation. The study was conducted within an eating disorder treatment facility that offers inpatient, residential, partial hospitalization program, and intensive outpatient levels of care. Findings suggest no significant pairwise differences in suicidal ideation prevalence between participants with ARFID and those with any other ED diagnosis. Thorough screening for suicidal thoughts and risk among those with ARFID is warranted at all levels of care. We suggest that future research expand upon this work in a larger adult ARFID sample.

Assessment of suicide risk in mental health practice: shifting from prediction to therapeutic assessment, formulation, and risk management

Suicide prevention in psychiatric practice has been dominated by efforts to predict risk of suicide in individual patients. However, traditional risk prediction measures have been shown repeatedly in studies from high income countries to be ineffective. Several factors might contribute to clinicians' preoccupation with risk prediction, which can have negative effects on patient care and also on clinicians where prediction is seen as failing. The model of therapeutic risk assessment, formulation, and management we outline in this article regards all patients with mental health problems as potentially at increased risk of suicide. It is aimed at reducing risk through use of a person-centred approach. We describe how a move towards therapeutic risk assessment, formulation, and risk management, including collaborative safety planning, could help clinicians develop a more tailored approach to managing risk for all patients, incorporating potentially therapeutic effects as well as helping to identify other risk reduction interventions. Such an approach could lead to enhanced patient safety and quality of care, which is more acceptable to patients.

Effectiveness of aftercare program for suicide ideators: Real-world evidence from National Suicide Surveillance System in Taiwan

Aftercare programs' effectiveness for suicide ideators has seldom been reported. This study assessed rates and factors related to the recurrence of suicide-related episodes after the index suicidal ideation episode, index cases, and family members receiving aftercare. This is a secondary data analysis of 1787 suicidal ideation episodes from 1557 individuals reported to the National Suicide Surveillance System in New Taipei City, Taiwan, from January 2012 to June 2013 and followed up until September 2013. Among 1787 index suicidal ideations, 19.1% had recurrences of suicide-related episodes, including suicidal ideation (11.9%), attempt (6.7%), and death (0.5%) within 2 years after index ideation. These recurrences were significantly reduced after the index cases received aftercare twice, three, and four or higher. Family members receiving aftercare twice or more were associated with reduced suicidality in the index cases. Receiving aftercare among index cases was associated with being a woman, suicide due to occupation/finance, and reporting from suicide hotlines. Receiving aftercare among family members was associated with the index cases aged ≤ 19 years old, suicide reasons related to school, occupation/finance, and reporting from schools and hospitals. Aftercare programs for suicide ideators and family members of adolescent suicide ideators (aged ≤ 19 years old) decreased subsequent episodes of suicidal behavior.

Early Intervention for Personality Disorder

Both the DSM-5 Section III Alternative Model for Personality Disorders and the ICD-11 have introduced a genuinely developmental approach to personality disorder. Among young people with personality disorder, compelling evidence demonstrates a high burden of disease, substantial morbidity, and premature mortality, as well as response to treatment. Yet, early diagnosis and treatment for the disorder have struggled to emerge from its identity as a controversial diagnosis to a mainstream focus for mental health services. Key reasons for this include stigma and discrimination, lack of knowledge about and failure to identify personality disorder among young people, along with the belief that personality disorder must always be addressed through lengthy and specialized individual psychotherapy programs. In fact, evidence suggests that early intervention for personality disorder should be a focus for all mental health clinicians who see young people and is feasible by using widely available clinical skills.

Toward an integrative model of transdiagnostic risk factors and suicide: A network comparison of psychiatric outpatients

Predictive models using traditional statistical methods have largely failed to describe suicide etiology. Network theory, which conceptualizes factors as mutually interacting, reinforcing elements of a complex outcome, can model relationships between transdiagnostic and neurocognitive vulnerability factors. The present study used a network approach to produce an atheoretical model of psychological factors and their interrelationships within a population of ideators and non-ideators. We developed two network models (i.e., suicidal ideators and psychiatric controls) describing the relationships between a diverse set of risk factors and symptom measures for a population of psychiatric outpatients. We compared networks using three measures of network structure (i.e., network structure invariance, global strength invariance, edge invariance) and described the differences. Network structures for ideators (N = 229) and non-ideators (N = 454) were stable and accurate. In non-ideators, cognitive-affective depression symptoms (Expected Influence [EI]: 2.06), trauma avoidance (EI: 1.08), and negative affect (EI: 0.81) were most influential to the psychological network. In ideators, cognitive-affective depression symptoms (EI: 1.77), intolerance of uncertainty-negative self-referent implications (EI: 1.29), and negative affect (EI: 1.19) were most influential. Invariance testing did not indicate significant differences in overall network structure between ideators and non-ideators (p = .111), but did indicate significant differences in node strength (p = .013). Significant differences in node EI were detected for intolerance of uncertainty-negative self-referent implications, anxiety sensitivity physical concerns, thwarted belongingness, worry, and negative affect. These findings indicated differences in network structures for suicidal psychiatric outpatients and provide crucial directions for future research on therapeutic targets for suicidal thoughts and behaviors.

Prevalence and Correlates of Firearm Access Among Post-9/11 US Women Veterans Using Reproductive Healthcare: a Cross-Sectional Survey

BACKGROUND

Suicide rates have increased among women Veterans, with increased use of firearms as the method. Addressing suicide risk in this population requires understanding the prevalence and correlates of firearm access in healthcare settings frequented by women Veterans.

OBJECTIVES

Characterize the prevalence and correlates of firearm ownership and storage practices among women Veterans using Department of Veterans Affairs (VA) reproductive healthcare (RHC) services.

DESIGN

Cross-sectional national survey conducted in 2018-2019 (17.9% response rate).

PARTICIPANTS

Post-9/11 women Veterans using RHC (n=350).

MAIN MEASURES

VA Military Sexual Trauma Screen, PTSD Checklist for DSM-5, Hurt/Insult/Threaten/Scream, Columbia-Suicide Severity Rating Scale screener, self-reported firearm access.

KEY RESULTS

38.0% (95% confidence interval [95% CI]: 32.9, 43.3) of participants reported personally owning firearms, and 38.9% (95% CI: 33.7, 44.2) reported other household members owned firearms. Among those with firearms in or around their homes, 17.8% (95% CI: 12.3, 24.4) and 21.9% (95% CI: 15.9, 28.9) reported all were unsafely stored (loaded or unlocked, respectively). Women who experienced recent intimate partner violence were less likely to report personally owning firearms (adjusted prevalence ratio [APR]=0.75; 95% CI: 0.57, 0.996). Those who experienced military sexual harassment (APR=1.46; 95% CI=1.09, 1.96), were married (APR=1.74; 95% CI: 1.33, 2.27), or lived with other adult(s) (APR=6.26; 95% CI: 2.87, 13.63) were more likely to report having household firearms owned by someone else. Storing firearms loaded was more prevalent among women with lifetime (APR=1.47; 95% CI=1.03, 2.08) or past-month (APR=1.69; 95% CI=1.15, 2.48) suicidal ideation and less likely among those with other adult(s) in the home (unadjusted PR=0.62; 95% CI=0.43, 0.91). Those with parenting responsibilities (APR=0.61; 95% CI=0.38, 0.97) were less likely to store firearms unlocked.

CONCLUSIONS

Firearm access is prevalent among post-9/11 women Veterans using VA RHC. Interpersonal factors may be important determinants of firearm access in this population. Safe firearm storage initiatives are needed among women Veterans using RHC, particularly for those with suicidal ideation.

Leveraging Reddit for Suicidal Ideation Detection: A Review of Machine Learning and Natural Language Processing Techniques

Suicide is a major public-health problem that exists in virtually every part of the world. Hundreds of thousands of people commit suicide every year. The early detection of suicidal ideation is critical for suicide prevention. However, there are challenges associated with conventional suicide-risk screening methods. At the same time, individuals contemplating suicide are increasingly turning to social media and online forums, such as Reddit, to express their feelings and share their struggles with suicidal thoughts. This prompted research that applies machine learning and natural language processing techniques to detect suicidality among social media and forum users. The objective of this paper is to investigate methods employed to detect suicidal ideations on the Reddit forum. To achieve this objective, we conducted a literature review of the recent articles detailing machine learning and natural language processing techniques applied to Reddit data to detect the presence of suicidal ideations. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we selected 26 recent studies, published between 2018 and 2022. The findings of the review outline the prevalent methods of data collection, data annotation, data preprocessing, feature engineering, model development, and evaluation. Furthermore, we present several Reddit-based datasets utilized to construct suicidal ideation detection models. Finally, we conclude by discussing the current limitations and future directions in the research of suicidal ideation detection.

Factors Related to Suicidal Ideation and Prediction of High-Risk Groups among Youngest-Old Adults in South Korea

(1) Background: The suicide of older adults shows different factors between the youngest-old adults and the old-old adults. This study aimed to identify factors predicting suicidal ideation among youngest-old adults (ages 65 to 74 years) and predict high-risk groups’ characteristics. (2) Methods: The subjects of this study were 970 youngest-old adults who participated in the Korean National Health and Nutrition Examination Survey (KNHANES VIII Year 1, 2019). Logistic regression analysis identified factors related to suicidal ideation, and decision tree analysis identified combined characteristics among high-risk groups. Data were analyzed using SPSS 27.0. (3) Results: Suicidal ideation became more common among those with relatively lower income levels (OR = 1.48, 95% CI = 1.04−2.12), those whom had experienced depression (OR = 9.28, 95% CI = 4.57−18.84), those with relatively higher stress levels (OR = 2.42, 95% CI = 1.11−5.28), and those reporting a relatively worse perceived health (OR = 1.88, 95% CI = 1.23−3.11). Complex characteristics that combined depression, low personal income level, and low perceived health predicted a high risk of suicidal ideation (64.6%, p < 0.05). (4) Conclusions: The findings indicate that this high-risk group should be prioritized when developing suicide prevention strategies.

Correlates of suicidality in young people with depressive disorders: A systematic review

OBJECTIVE

Depression is one of the most prevalent and disabling mental health conditions among young people worldwide. The health and economic burdens associated with depressive illness are substantial. Suicide and depression are closely intertwined, yet a diagnosis of depression itself lacks predictive specificity for suicidal behaviour. To better inform suicide prevention and early intervention strategies for young people, improved identification of modifiable intervention targets is needed. The objective of this review was to identify clinical, psychosocial and biological correlates of suicidality in young people diagnosed with a broad range of unipolar and bipolar depressive disorders.

METHOD

Systematic searches were conducted across MEDLINE, Embase and PsycINFO to identify studies of young people aged 15-25 years diagnosed with unipolar or bipolar depressive disorders. An assessment of suicidality was required for inclusion. Reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 and Synthesis Without Meta-analysis guidelines.

RESULTS

We integrated findings from 71 studies including approximately 24,670 young people with clinically diagnosed depression. We identified 26 clinical, psychosocial and biological correlates of suicidality. Depression characteristics (type and severity), psychiatric comorbidity (particularly anxiety and substance use disorders) and neurological characteristics emerged as having the most evidence for being associated with suicidal outcomes. Our ability to pool data and conduct meaningful quantitative synthesis was hampered by substantial heterogeneity across studies and incomplete reporting; thus, meta-analysis was not possible.

CONCLUSION

Findings of this review reinforce the notion that suicidality is a complex phenomenon arising from the interplay of multiple contributing factors. Our findings question the utility of considering a diagnosis of depression as a specific risk factor for suicidality in young people. Suicidality itself is transdiagnostic; adoption of a transdiagnostic approach to investigating its aetiology and treatment is perhaps warranted. Future research investigating specific symptoms, or symptom networks, might help to further our understanding of suicidality among young people experiencing mental illness.

Suicidal ideation and ECT, ECT and suicidal ideation: A register study

OBJECTIVE

Although electroconvulsive therapy (ECT) is anti-suicidal, it is not known whether the presence of suicidal ideation (SI) at baseline predicts response and remission after ECT. The aim of the study was to analyze the impact of baseline SI on response and remission following ECT treatment in a large sample of patients with depression and to assess SI before and after ECT.

METHODS

This population-based register study used data from the Swedish National Quality Register for ECT and the Swedish Patient Register. Patients aged 18 years or older who had received ECT for a unipolar or bipolar depressive episode between 2011 and 2018 were included in the study. SI was defined as a score of ≥4 on the last item of the Montgomery-Åsberg Depression Rating Scale - Self Assessment (MADRS-S). Using a logistic regression model, SI at baseline was used to predict response and remission following ECT, while controlling for depression severity, psychotic symptoms, presence of a comorbid personality disorder, age, sex, electrode position, unipolar or bipolar disorder, and number of previous suicide attempts at baseline.

RESULTS

In patients who exhibited SI at baseline, 53.7% (N = 632) of cases showed a response to ECT, whereas 68.4% (N = 690) of patients without SI showed a response. In addition, 27.2% (N = 320) of cases with SI achieved remission, whereas 48.5% (N = 489) of cases without SI achieved remission. The odds of achieving response and remission for patients with SI were 0.75 and 0.58 times, respectively, those for patients without SI. Of the 1178 patients with pre-treatment SI, 75.64% (N = 891) exhibited no SI at the end of treatment. Moreover, in this subgroup, the presence of a personality disorder, higher MADRS-S-score, and younger age were associated with persistent SI.

CONCLUSION

The presence of SI was associated with lower ECT response and remission rates. Nevertheless, depressive symptoms and SI were reduced in a large proportion of patients across both patient groups. Clinicians should be aware of the lower likelihood of achieving a successful outcome following ECT in younger patients who present with a non-psychotic depressive episode, SI, and (suspected) personality disorders. More research is warranted regarding if these patients can achieve similar or better results with other treatments.

Optimizing the Beck Scale for Suicide Ideation: An Item Response Theory Approach Among U.S. Military Personnel

The Beck Scale for Suicide Ideation (BSS) is one of the most used and empirically supported suicide risk assessment measures for behavioral health clinicians and researchers. However, the 19-item BSS is a relatively long measure and can take 5 to 10 minutes to administer. This study used Item Response Theory (IRT) techniques across two samples of mostly U.S. military service members to first identify (n₁ = 1,899) and then validate (n₂ = 757) an optimized set of the most informative BSS items. Results indicated that Items 1, 2, 4, 6, and 15 provided a similar-shaped test information curve across the same range of the latent trait as the full-length BSS and showed reliable item functioning across participant characteristics. The sum score of these five items showed a linear score linkage with the full-scale score, ρ > 0.87, and was equally as sensitive as the full scale for prospectively predicting near-term suicidal behavior at 74% with a cut score ≥1 (equivalent to full-scale score ≥6). Results are consistent with those from civilian samples. In time- or length-limited assessments, using these five BSS items may improve administration efficiency over the full BSS, while maintaining classification sensitivity.This study suggests that summing Items 1, 2, 4, 6, and 15 of the Beck Scale for Suicide Ideation (BSS) is an acceptable approach for shortening the full-length measure.

Exploring life and help-seeking experiences regarding suicidal ideations among nursing home residents

Globally, older adults, especially nursing home residents, are at a higher risk of suicide. This study examined the life of nursing home residents with suicidal ideations and their help-seeking experiences. A qualitative analysis of 19 semi-structured interviews was conducted. Results indicate that suicidal ideations among nursing home residents correlates with their negative life experiences, both personally and institutionally. In terms of their life experiences, themes included the desire for death, emotional loneliness, a state of discomfort arising from incapacity, feeling like a burden on children, and dealing with the low-quality service. Older adults' negative attitudes toward seeking assistance as well as limited resort resources and ineffective help-seeking hinder them from finding more support or treatment. This study adds to a growing body of research on late-life suicide in institutional settings, and relevant findings can serve as references in improving nursing home residents' life quality and developing suicide-prevention strategies.

Relations between parental response to children's negative emotions and suicidal ideation in chinese adolescents: Internalizing problems, emotion regulation, and perceived relationship quality with parents as mediators

Past work points to the crucial role of parents' responses to children's negative emotions (PRCNE) in adolescents' socioemotional adjustment. The presence of suicidal ideation (SI) is an important sign of significant distress and suicide risk. However, research on the relations between PRCNE and adolescents' SI is lacking. This research aimed to investigate whether parental reactions to children's negative emotions (PRCNE) was related to adolescents' SI and, if so, through which processes. This research utilized data from a sample of Chinese adolescent families (N = 4,574; Parents: 35.81% males, M = 44.07 years old; Adolescents: 55.40% males, M = 16.28 years old), with parents giving their reports on PRCNE and adolescents self-evaluating their psychosocial development (i.e., internalizing problems, emotion regulation, perceived relationship quality with parents) and SI. We examined the relations between six types of PRCNE and adolescents' SI, and analyzed the mediating roles of adolescents' internalizing problems, emotion regulation (i.e., cognitive reappraisal and expressive suppression), and perceived relationship quality with parents. The results showed that emotion-focused response, problem-focused response, and expression encouragement negatively predicted, while punitive response and distress response positively predicted adolescents' SI. However, no statistically significant association emerged between minimization and adolescents' SI. Moreover, adolescents' internalizing problems, usage of expressive suppression, and perceived relationship quality with parents could mediate the relations between PRCNE and adolescents' SI. Contrary to our hypothesis, the results did not support an indirect effect of PRCNE on adolescents' SI through adolescents' cognitive reappraisal. The present research illuminates adolescents' SI by emphasizing the roles of PRCNE. The findings also highlight the importance of paying attention to adolescents' internalizing problems, expressive suppression, and perceived relationship quality with parents in relation to PRCNE in interventions aimed at reducing adolescents' SI.

Integration and Validation of a Natural Language Processing Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in the Emergency Department

BACKGROUND

Emergency departments (ED) are an important intercept point for identifying suicide risk and connecting patients to care, however, more innovative, person-centered screening tools are needed. Natural language processing (NLP) -based machine learning (ML) techniques have shown promise to assess suicide risk, although whether NLP models perform well in differing geographic regions, at different time periods, or after large-scale events such as the COVID-19 pandemic is unknown.

OBJECTIVE

To evaluate the performance of an NLP/ML suicide risk prediction model on newly collected language from the Southeastern United States using models previously tested on language collected in the Midwestern US.

METHOD

37 Suicidal and 33 non-suicidal patients from two EDs were interviewed to test a previously developed suicide risk prediction NLP/ML model. Model performance was evaluated with the area under the receiver operating characteristic curve (AUC) and Brier scores.

RESULTS

NLP/ML models performed with an AUC of 0.81 (95% CI: 0.71-0.91) and Brier score of 0.23.

CONCLUSION

The language-based suicide risk model performed with good discrimination when identifying the language of suicidal patients from a different part of the US and at a later time period than when the model was originally developed and trained.

Socioeconomic factors associated with suicidal behaviors in South Korea: systematic review on the current state of evidence

Background

The economic and human costs of suicide to individuals, families, communities, and society make suicide a major public health problem around the world. Suicide rates in South Korea are among the highest in the world. This paper is the first systematic review investigating socioeconomic risk factors for suicidal behaviors (suicidal ideation, attempted suicides, and completed suicides) in South Korea.

Methods

We performed a systematic review in Medline and Web of Science. Empirical studies and peer-reviewed articles on the association between individual socioeconomic factors and suicidal behaviors have been included. A total of 53 studies were included in a descriptive synthesis.

Results

Overall, 35 studies focused on the association between individual socioeconomic factors and suicidal ideation, 16 were related to suicide attempts, while 10 addressed completed suicides. Low income, unemployment, and financial difficulties were identified as risk factors for all suicidal behaviors. Working in precarious conditions, long working hours, self-employment, changes in employment status, shift work/night-time work, and occupational stress were associated with an increased risk for suicidal ideation. Low educational attainment appears to increase the risk for suicide attempts and completed suicide, but the significance of educational attainment on the reporting of suicidal ideation could not be verified. The primary studies were unable to ascertain whether the place of residence impacts on suicidal behaviors.

Conclusions

The results highlight the relevance of socioeconomic factors for suicidal behaviors in South Korea. Governmental social spending must be increased and redirected more efficiently so that the economically most vulnerable groups are financially protected and income inequality does not widen. Furthermore, comprehensive prevention strategies at the community level are needed. Future research needs to focus on identifying vulnerable groups for whom the effects of low socioeconomic status may have particularly serious consequences with regard to suicidal behaviors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12498-1.

Longitudinal experiences and risk factors for common mental health problems and suicidal behaviours among female sex workers in Nairobi, Kenya

BACKGROUND

Female sex workers (FSWs) are at high risk of mental health problems and suicide risk. Few longitudinal studies have examined risk factors for poor mental health among FSWs.

METHODS

Maisha Fiti is a longitudinal study among FSWs randomly selected from Sex Worker Outreach Programme clinics across Nairobi. Behavioural-biological survey data were collected at baseline (n = 1003, June-December 2019), midline (n = 366) (Jan-March 2020) and endline (n = 877) (June 2020-Jan 2021). Women reporting mental health problems were offered counselling services. Multivariable mixed logistic regression models were used to examine factors associated with mental health problems and suicidal behaviours.

RESULTS

There was a decline in the proportion of women reporting any mental health problem (depression and/or anxiety and/or PTSD) (baseline: 29.9%, midline: 13.3%, endline: 11.8%). There was strong evidence that any mental health problem was associated with recent hunger (aOR 1.99; 95% CI 1.37-2.88) and recent violence from non-intimate partners (2.23; 95% CI 1.55-3.19). Recent suicidal behaviour prevalence was similar across survey rounds (baseline: 10.2%; midline: 10.2%; endline: 10.4%), and was associated with recent violence from non-intimate partners (aOR 1.96; 95% CI 1.31-2.95), recent hunger (aOR 1.69; 95% CI 1.15-2.47) and having an additional employment to sex work (aOR 1.50; 95% CI 1.00-2.23).

CONCLUSIONS

Our study found a decline in mental health problems but high levels of persistent suicidal behaviours among FSWs. Syndemic risk factors including food insecurity and violence were longitudinally associated with mental health problems and recent suicidal behaviours. There is a need for accessible mental health services for FSWs, alongside structural interventions addressing poverty and violence.

Comparison of traditional model-based statistical methods with machine learning for the prediction of suicide behaviour

BACKGROUND

Despite considerable research efforts during the last five decades, the prediction of suicidal behaviour (SB) using traditional model-based statistical has been weak. This marks the need to explore new statistical methods.

OBJECTIVE

To compare the performance of Cox regression models versus Random Survival Forest (RSF) to predict SB.

METHODS

Using a data set of more than 300 high-risk suicidal patients from a multicenter prospective cohort study, we compare Cox regression models with RSF to address predictors of time to suicide reattempt. Cross-validation was used to assess model prediction performance, including the area under the receiver operator curve (AUC), precision, Integrated Brier Score (IBS), sensitivity, and specificity.

RESULTS

A variant of the RSF denominated the RSFElimin, in which irrelevant predictor variables were eliminated from the model, presented the best accuracy, sensitivity, AUC and IBS. At the same time, the sensitivity of this method was slightly lower than that obtained with the Cox regression model with all predictor variables (CoxComp).

CONCLUSION

The RSF, a machine learning model, seems more sensitive and precise than the traditional Cox regression model in predicting suicidal behaviour.

Prevalence and correlates of common mental health problems and recent suicidal thoughts and behaviours among female sex workers in Nairobi, Kenya

BACKGROUND

Adverse childhood experiences (ACEs), poverty, violence and harmful alcohol/substance use are associated with poor mental health outcomes, but few studies have examined these risks among Female Sex Workers (FSWs). We examine the prevalence and correlates of common mental health problems including suicidal thoughts and behaviours among FSWs in Kenya.

METHODS

Maisha Fiti is a longitudinal study among FSWs randomly selected from Sex Worker Outreach Programme (SWOP) clinics across Nairobi. Baseline behavioural-biological survey (n = 1003) data were collected June-December 2019. Mental health problems were assessed using the Patient Health Questionnaire (PHQ-9) for depression, the Generalised Anxiety Disorder tool (GAD-7) for anxiety, the Harvard Trauma Questionnaire (HTQ-17) for Post-Traumatic Stress Disorder (PTSD) and a two-item tool to measure recent suicidal thoughts/behaviours. Other measurement tools included the WHO Adverse Childhood Experiences (ACE) score, WHO Violence Against Women questionnaire, and the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST). Descriptive statistics and multivariable logistic regression were conducted using a hierarchical modelling approach.

RESULTS

Of 1039 eligible FSWs, 1003 FSWs participated in the study (response rate: 96%) with mean age 33.7 years. The prevalence of moderate/severe depression was 23.2%, moderate/severe anxiety 11.0%, PTSD 14.0% and recent suicidal thoughts/behaviours 10.2% (2.6% suicide attempt, 10.0% suicidal thoughts). Depression, anxiety, PTSD and recent suicidal thoughts/behaviours were all independently associated with higher ACE scores, recent hunger (missed a meal in last week due to financial difficulties), recent sexual/physical violence and increased harmful alcohol/substance. PTSD was additionally associated with increased chlamydia prevalence and recent suicidal thoughts/behaviours with low education and low socio-economic status. Mental health problems were less prevalent among women reporting social support.

CONCLUSIONS

The high burden of mental health problems indicates a need for accessible services tailored for FSWs alongside structural interventions addressing poverty, harmful alcohol/substance use and violence. Given the high rates of ACEs, early childhood and family interventions should be considered to prevent poor mental health outcomes.

Genetic contributions to suicidal thoughts and behaviors

Suicidal ideation, suicide attempt (SA) and suicide are significantly heritable phenotypes. However, the extent to which these phenotypes share genetic architecture is unclear. This question is of great relevance to determining key risk factors for suicide, and to alleviate the societal burden of suicidal thoughts and behaviors (STBs). To help address the question of heterogeneity, consortia efforts have recently shifted from a focus on suicide within the context of major psychopathology (e.g. major depressive disorder, schizophrenia) to suicide as an independent entity. Recent molecular studies of suicide risk by members of the Psychiatric Genomics Consortium and the International Suicide Genetics Consortium have identified genome-wide significant loci associated with SA and with suicide death, and have examined these phenotypes within and outside of the context of major psychopathology. This review summarizes important insights from epidemiological and biometrical research on suicide, and discusses key empirical findings from molecular genetic examinations of STBs. Polygenic risk scores for these phenotypes have been observed to be associated with case-control status and other risk phenotypes. In addition, estimated shared genetic covariance with other phenotypes suggests specific medical and psychiatric risks beyond major depressive disorder. Broadly, molecular studies suggest a complexity of suicide etiology that cannot simply be accounted for by depression. Discussion of the state of suicide genetics, a growing field, also includes important ethical and clinical implications of studying the genetic risk of suicide.

Repetitive negative thinking about suicide: Associations with lifetime suicide attempts

Background

Repetitive negative thinking has been identified as an important predictor of suicide ideation and suicidal behavior. Yet, only few studies have investigated the effect of suicide-specific rumination, i.e., repetitive thinking about death and/or suicide on suicide attempt history. On this background, the present study investigated, whether suicide-specific rumination differentiates between suicide attempters and suicide ideators, is predictive of suicide attempt history and mediates the association between suicide ideation and suicide attempts.

Method

A total of 257 participants with a history of suicide ideation (55.6% female; Age M = 30.56, Age SD = 11.23, range: 18–73 years) completed online measures on suicidality, general and suicide-specific rumination.

Results

Suicide-specific rumination differentiated suicide attempters from suicide ideators, predicted suicide attempt status (above age, gender, suicide ideation, general rumination) and fully mediated the association between suicide ideation and lifetime suicide attempts.

Conclusion

Overall, though limited by the use of a non-clinical sample and a cross-sectional study design, the present results suggest that suicide-specific rumination might be a factor of central relevance in understanding transitions to suicidal behavior.

Suicide-specific rumination was investigated in participants with a history of suicide ideation.

Suicide-specific rumination differentiated suicide attempters from suicide ideators.

Suicide-specific rumination predicted suicide attempt status.

Suicide-specific rumination mediated the association between suicide ideation and lifetime suicide attempts.

Suicide-specific rumination might be a factor of central relevance in understanding transitions to suicidal behavior.

Peer Connectedness and Pre-Existing Social Reward Processing Predicts U.S. Adolescent Girls' Suicidal Ideation During COVID-19

There is major concern about the impact of the COVID-19 pandemic on adolescent suicidal ideation (SI) and peer relationships. We investigated (1) rates of SI and (2) the extent to which peer connectedness and pre-existing neural activation to social reward predicted SI during the initial stay-at-home orders of the pandemic (April-May 2020) in a longitudinal sample of adolescent girls (N = 93; Mage  = 15.06; 69% White non-Hispanic). Daily diary and fMRI methods were used to assess peer connectedness and neural activation to social reward, respectively. Nearly 40% of girls endorsed SI during the initial stay-at-home orders. Greater peer connectedness and neural responsivity to anticipated social reward were associated with a reduced odds of SI during the pandemic among girls.

AI enabled suicide prediction tools: a qualitative narrative review

Background: Suicide poses a significant health burden worldwide. In many cases, people at risk of suicide do not engage with their doctor or community due to concerns about stigmatisation and forced medical treatment; worse still, people with mental illness (who form a majority of people who die from suicide) may have poor insight into their mental state, and not self-identify as being at risk. These issues are exacerbated by the fact that doctors have difficulty in identifying those at risk of suicide when they do present to medical services. Advances in artificial intelligence (AI) present opportunities for the development of novel tools for predicting suicide.

Method: We searched Google Scholar and PubMed for articles relating to suicide prediction using artificial intelligence from 2017 onwards.

Conclusions: This paper presents a qualitative narrative review of research focusing on two categories of suicide prediction tools: medical suicide prediction and social suicide prediction. Initial evidence is promising: AI-driven suicide prediction could improve our capacity to identify those at risk of suicide, and, potentially, save lives. Medical suicide prediction may be relatively uncontroversial when it pays respect to ethical and legal principles; however, further research is required to determine the validity of these tools in different contexts. Social suicide prediction offers an exciting opportunity to help identify suicide risk among those who do not engage with traditional health services. Yet, efforts by private companies such as Facebook to use online data for suicide prediction should be the subject of independent review and oversight to confirm safety, effectiveness and ethical permissibility.

Robust suicide risk assessment on social media via deep adversarial learning

OBJECTIVE

The prevalence of social media for sharing personal thoughts makes it a viable platform for the assessment of suicide risk. However, deep learning models are not able to capture the diverse nature of linguistic choices and temporal patterns that can be exhibited by a suicidal user on social media and end up overfitting on specific cues that are not generally applicable. We propose Adversarial Suicide assessment Hierarchical Attention (ASHA), a hierarchical attention model that employs adversarial learning for improving the generalization ability of the model.

MATERIAL AND METHODS

We assess the suicide risk of a social media user across 5 levels of increasing severity of risk. ASHA leverages a transformer-based architecture to learn the semantic nature of social media posts and a temporal attention-based long short-term memory architecture for the sequential modeling of a user's historical posts. We dynamically generate adversarial examples by adding perturbations to actual examples that can simulate the stochasticity in historical posts, thereby making the model robust.

RESULTS

Through extensive experiments, we establish the face-value of ASHA and show that it significantly outperforms existing baselines, with the F1 score of 64%. This is a 2% and a 4% increase over the ContextBERT and ContextCNN baselines, respectively. Finally, we discuss the practical applicability and ethical aspects of our work pertaining to ASHA, as a human-in-the-loop framework.

DISCUSSION AND CONCLUSIONS

Adversarial samples can be helpful in capturing the diverse nature of suicidal ideation. Through ASHA, we hope to form a component in a larger human-in-the-loop infrastructure for suicide risk assessment on social media.

Tweet Classification to Assist Human Moderation for Suicide Prevention

Social media platforms are already engaged in leveraging existing online socio-technical systems to employ just-in-time interventions for suicide prevention to the public. These efforts primarily rely on self-reports of potential self-harm content that is reviewed by moderators. Most recently, platforms have employed automated models to identify self-harm content, but acknowledge that these automated models still struggle to understand the nuance of human language (e.g., sarcasm). By explicitly focusing on Twitter posts that could easily be misidentified by a model as expressing suicidal intent (i.e., they contain similar phrases such as "wanting to die"), our work examines the temporal differences in historical expressions of general and emotional language prior to a clear expression of suicidal intent. Additionally, we analyze time-aware neural models that build on these language variants and factors in the historical, emotional spectrum of a user's tweeting activity. The strongest model achieves high (statistically significant) performance (macro F1=0.804, recall=0.813) to identify social media indicative of suicidal intent. Using three use cases of tweets with phrases common to suicidal intent, we qualitatively analyze and interpret how such models decided if suicidal intent was present and discuss how these analyses may be used to alleviate the burden on human moderators within the known constraints of how moderation is performed (e.g., no access to the user's timeline). Finally, we discuss the ethical implications of such data-driven models and inferences about suicidal intent from social media. Content warning: this article discusses self-harm and suicide.