Sociodemographic and psychosocial risk factors of railway suicide a mixed-methods study combining data of all suicide decedents in the Netherlands with data from a psychosocial autopsy study.

BACKGROUND: Railway suicide has profound implications for the victims and their family, and affects train drivers, railway personnel, emergency services and witnesses. To inform a multilevel prevention strategy, more knowledge is required about psychosocial and precipitating risk factors of railway suicide. METHODS: Data from Statistics Netherlands of all suicides between 2017 and 2021 (n = 9.241) of whom 986 died by railway suicide and interview data from a psychosocial autopsy of railway suicide decedents (n = 39) were integrated. We performed logistic regression analyses to identify sociodemographic predictors of railway suicide compared to other methods of suicide. The Constant Comparative Method was subsequently employed on interview data from the psychosocial autopsy to identify patterns in psychosocial risk factors for railway suicide. RESULTS: The strongest predictors of railway suicide compared to other suicide methods were young age (< 30 years old), native Dutch, a high educational level, living in a multi-person household (especially living with parents or in an institution), living in a rural area and a high annual household income of > 150.000 euros. Several subgroups emerged in the psychosocial autopsy interviews, which specifically reflect populations at risk of railway suicide. These subgroups were [1] young adult males with autism spectrum disorder who strived for more autonomy and an independent life, [2] young adult females with persistent suicidal thoughts and behaviours, [3] middle-aged males with a persistent mood disorder who lived with family and who faced stressors proximal to the suicide in personal and professional settings, [4] male out-of-the-blue suicides and [5] persons with psychotic symptoms and a rapid deterioration. CONCLUSIONS: based on our findings we propose and discuss several recommendations to prevent railway suicide. We must continue to invest in a safe railway environment by training personnel and installing barriers. Additionally, we should adopt prevention strategies that align the needs of subgroups at increased risk, including young females who have attempted other methods of suicide and young males with autism spectrum disorder. Future research should determine the cost-effectiveness and feasibility of low-maintenance, automated interventions near crossings and psychiatric facilities.

The self-perceived needs of adolescents with suicidal behaviour: a scoping review.

Suicidal behaviour in adolescents is a major public health problem. Much research on this issue has focused on epidemiology and risk factors for suicidal behaviour, paying less attention to the self-perceived needs of adolescents. However, to increase engagement in suicide prevention, it is important to include the views of adolescents. A scoping review was performed to identify the available empirical study findings, of any study design, related to the self-perceived needs of adolescents with suicidal behaviour. The literature databases Medline, Embase, Psycinfo, CINAHL, ERIC, Scopus, and Web of Science were searched. Twenty-nine studies from 14 predominantly Anglo countries were included in the scoping review. The review showed that girls were overrepresented and that studies predominantly used qualitative approaches. The identified needs of adolescents with suicidal behaviour can broadly be grouped into needs related to the following areas: the importance of connecting with other people; adolescents' self-help strategies and personal growth after self-harm; mental healthcare; school or study programs; and needs related to society in relation to taboo on suicidal behaviour. Prevention of suicidal behaviour in adolescents will need to focus on development and strengthening of interventions fitting the needs of adolescents in these areas.

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

BACKGROUND: The use of latent class analysis (LCA) to understand suicide risk is often not guided by theoretical frameworks. This study used the Integrated Motivational-Volitional (IMV) Model of Suicidal Behaviour to inform the classification of subtypes of young adults with a suicidal history. METHODS: Data from young adults in Scotland (n = 3508) were used in this study including a subgroup of participants (n = 845) with a history of suicidality. LCA using risk factors from the IMV model was conducted on this subgroup, and the subgroups and non-suicidal control group were compared. Trajectories of suicidal behaviour over 36 months was compared between the classes. RESULTS: Three classes were identified. Class 1 (62 %) had low scores on all risk factors, Class 2 (23 %) had moderate scores, and Class 3 (14 %) had high scores on all risk factors. Those in Class 1 had a stable low risk of suicidal behaviour, while those in Class 2 and 3 showed marked variation over time, although Class 3 had the highest risk across all timepoints. LIMITATIONS: The rate of suicidal behaviour in the sample was low, and differential dropout may have impacted the findings. CONCLUSIONS: These findings suggest that young adults can be classified into different profiles based on suicide risk variables derived from the IMV model, which still distinguishes them 36 months later. Such profiling may help determining who is most at risk for suicidal behaviour over time.