Suicide ideation of individuals in online social networks

Suicide explains the largest number of death tolls among Japanese adolescents in their twenties and thirties. Suicide is also a major cause of death for adolescents in many other countries. Although social isolation has been implicated to influence the tendency to suicidal behavior, the impact of social isolation on suicide in the context of explicit social networks of individuals is scarcely explored. To address this question, we examined a large data set obtained from a social networking service dominant in Japan. The social network is composed of a set of friendship ties between pairs of users created by mutual endorsement. We carried out the logistic regression to identify users' characteristics, both related and unrelated to social networks, which contribute to suicide ideation. We defined suicide ideation of a user as the membership to at least one active user-defined community related to suicide. We found that the number of communities to which a user belongs to, the intransitivity (i.e., paucity of triangles including the user), and the fraction of suicidal neighbors in the social network, contributed the most to suicide ideation in this order. Other characteristics including the age and gender contributed little to suicide ideation. We also found qualitatively the same results for depressive symptoms.Comment: 4 figures, 9 table

Detecting suicidality on Twitter

Twitter is increasingly investigated as a means of detecting mental health status, including depression and suicidality, in the population. However, validated and reliable methods are not yet fully established. This study aimed to examine whether the level of concern for a suicide-related post on Twitter could be determined based solely on the content of the post, as judged by human coders and then replicated by machine learning. From 18th February 2014 to 23rd April 2014, Twitter was monitored for a series of suicide-related phrases and terms using the public Application Program Interface (API). Matching tweets were stored in a data annotation tool developed by the Commonwealth Scientific and Industrial Research Organisation (CSIRO). During this time, 14,701 suicide-related tweets were collected: 14% were randomly (n = 2000) selected and divided into two equal sets (Set A and B) for coding by human researchers. Overall, 14% of suicide-related tweets were classified as ‘strongly concerning’, with the majority coded as ‘possibly concerning’ (56%) and the remainder (29%) considered ‘safe to ignore’. The overall agreement rate among the human coders was 76% (average κ = 0.55). Machine learning processes were subsequently applied to assess whether a ‘strongly concerning’ tweet could be identified automatically. The computer classifier correctly identified 80% of ‘strongly concerning’ tweets and showed increasing gains in accuracy; however, future improvements are necessary as a plateau was not reached as the amount of data increased. The current study demonstrated that it is possible to distinguish the level of concern among suicide-related tweets, using both human coders and an automatic machine classifier. Importantly, the machine classifier replicated the accuracy of the human coders. The findings confirmed that Twitter is used by individuals to express suicidality and that such posts evoked a level of concern that warranted further investigation. However, the predictive power for actual suicidal behaviour is not yet known and the findings do not directly identify targets for intervention.This project was supported in part by funding from the NSW Mental Health Commission and the NHMRC John Cade Fellowship 1056964. PJB and ALC are supported by the NHMRC Early Career Fellowships 1035262 and 1013199

Links Between Social Support, Thwarted Belongingness, and Suicide Ideation among Lesbian, Gay, and Bisexual College Students

Emerging adults with a lesbian, gay, or bisexual (LGB) identity are at greater risk for engaging in suicide-related behaviors. This disparity highlights a need to elucidate specific risk and protective factors associated with suicide-related behaviors among LGB youth, which could be utilized as targets for suicide prevention efforts in this population. Informed by the interpersonal-psychological theory of suicide, the present study hypothesized that social support would be indirectly associated with decreased suicide ideation via lower thwarted belongingness. A sample of 50 emerging adults (62.0% male, 70.0% Hispanic) who identified as gay, lesbian, bisexual, questioning, or “other” orientation, with a mean age of 20.84 years (SD = 3.30 years), completed self-report assessments. Results indicated that support from both family and the LGB community were associated with lower thwarted belongingness over and above the effects of age, sex, and depressive symptoms. Indirect effects models also indicated that both family and LGB community support were associated with suicide ideation via thwarted belongingness. The results of the present study suggest that family and LGB community support may represent specific targets for reducing thwarted belongingness that could be leveraged in suicide prevention efforts for LGB emerging adults

Smartphone-based safety planning and self-monitoring for suicidal patients: Rationale and study protocol of the CASPAR (Continuous Assessment for Suicide Prevention And Research) study

Background: It remains difficult to predict and prevent suicidal behaviour, despite growing understanding of the aetiology of suicidality. Clinical guidelines recommend that health care professionals develop a safety plan in collaboration with their high-risk patients, to lower the imminent risk of suicidal behaviour. Mobile health applications provide new opportunities for safety planning, and enable daily self-monitoring of suicide-related symptoms that may enhance safety planning. This paper presents the rationale and protocol of the Continuous Assessment for Suicide Prevention And Research (CASPAR) study. The aim of the study is two-fold: to evaluate the feasibility of mobile safety planning and daily mobile self-monitoring in routine care treatment for suicidal patients, and to conduct fundamental research on suicidal processes. Methods: The study is an adaptive single cohort design among 80 adult outpatients or day-care patients, with the main diagnosis of major depressive disorder or dysthymia, who have an increased risk for suicidal behaviours. There are three measurement points, at baseline, at 1 and 3 months after baseline. Patients are instructed to use their mobile safety plan when necessary and monitor their suicidal symptoms daily. Both these apps will be used in treatment with their clinician. Conclusion: The results from this study will provide insight into the feasibility of mobile safety planning and self-monitoring in treatment of suicidal patients. Furthermore, knowledge of the suicidal process will be enhanced, especially regarding the transition from suicidal ideation to behaviour

Purpose in Life and Conscientiousness Protect Against the Development of Suicidal Ideation in U.S. Military Veterans With PTSD and MDD: Results From the National Health and Resilience in Veterans Study.

Background:Although several studies have examined risk factors for suicidal ideation among veterans, little is known about risk and protective factors for suicidal ideation in high-risk veteran samples. Thus, this study examined a broad range of risk and protective factors associated with the development of suicidal ideation in a high-risk sample of U.S. veterans who screened positive for current posttraumatic stress disorder (PTSD) and/or major depressive disorder (MDD). Methods:Data were analyzed from the National Health and Resilience in Veterans Study, a nationally representative, prospective cohort study of U.S. veterans. Veterans completed self-report measures to screen for PTSD and MDD and to assess for risk and protective factors. The sample included 222 veterans with PTSD and/or MDD who did not endorse suicidal ideation at baseline and completed at least one assessment over a seven-year follow-up period. A multivariable binary logistic regression analysis was conducted to examine baseline factors associated with incident suicidal ideation. Results:Nearly one in three (27.1%) of veterans with PTSD and/or MDD developed suicidal ideation over the seven-year follow-up period. Non-Caucasian race and lower scores on measures of purpose in life, conscientiousness, and frequency of religious service attendance were independently associated with incident suicidal ideation. Lower purpose in life (52.3%) and conscientiousness (33.2%) explained the vast majority of variance in incident suicidal ideation. Conclusion:Nearly 30% of veterans with PTSD and/or MDD who did not endorse suicidal ideation at baseline developed suicidal ideation over a seven-year period. Prevention and treatment efforts designed to bolster purpose in life and conscientiousness may help mitigate risk for suicidal ideation in this high-risk population

Suicide attempts among incarcerated homicide offenders

The aim was to investigate the role of age, drug abuse, period of confinement, loneliness, difficulty in controlling emotions, having no friends in prison, victimization in prison, guilt over crimes, insomnia, nightmares, anxiety, depression, and mood change in predicating suicide attempts in a sample of homicidal young prisoners. Poisson regression model indicated that five variables contributed significantly to the prediction of suicide attempts. Specifically, participants reporting drug abuse, difficulty in controlling emotions, victimization in prison, nightmares, and depression were significantly more likely to report suicide attempts while incarcerated

Mediating Effects of Positive Thinking and Social Support on Suicide Resilience

Suicide has been the second leading cause of death for 18- to 24-year-olds in the United States since 2011. The stress experienced by undergraduate college students has the potential to increase one’s risk for suicide. Resilience theory was used as a theoretical framework to examine the interplay between risk and protective factors. A cross-sectional and correlational design was used to assess the mediating effects of positive thinking and/or social support on suicide resilience in 131 college students 18 to 24 years old who completed an online survey. The study found an indirect effect of self-esteem on suicide resilience through positive thinking and social support indicating that as self-esteem increases, positive thinking and social support also increase, which leads to an increase in resilience. The study also found a direct effect of self-esteem, positive thinking, and social support on suicide resilience. The findings inform the development of tailored interventions to build suicide resilience in college students

Minority-specific Determinants of Mental Well-being Among Lesbian, Gay and Bisexual Youth

This study discusses the impact of stress specific to being lesbian, gay, or bisexual (LGB), measured by means of the concepts of stigma consciousness and internalized homonegativity, on the mental well-being of LGB youth. Also, the effects of positive and negative social support were considered within the model. The sample consisted of 743 LGBs less than 26 years old who were recruited during the online ZZZIP survey in Flanders, Belgium. Hierarchical regression shows that LGB-specific unsupportive social interactions have the greatest direct effect on mental well-being of LGB youth, followed respectively by stigma consciousness, internalized homonegativity, and confidant support

Preventing suicide by young people

Introduction In 2013, 2,522 people died by suicide in Australia. Twenty-two of these were children aged 5- 14 years, 148 were adolescents aged 15-19 years, and a further 200 were young people aged 20-24 years. Although the suicide rate for children and adolescents is lower than that for some older age groups, suicide is the leading cause of death in children and young people. Suicide has immense effects on the families, friends, and communities of people who die by suicide, causing long lasting grief and guilt. Arguably, these effects are even greater when the person who died by suicide is young. It is estimated that suicide costs the Australian economy more than $17 billion per year. Researchers and policy makers recognise that suicide is preventable, yet suicide rates have changed little in the past 10 years. This discussion paper aims to focus a spotlight on the unique experience of young people. It does this by providing a critical analysis of existing policy and evidence based responses relevant to young people