Resource Tag: RISK INDICATORS

Suicide is the second leading cause of death among youth aged 15–24 years. Identifying modifiable risk factors relevant to adolescents is crucial for suicide prevention. Sleep patterns have been linked to suicidality in adults, but lack sufficient study in youth. This ecological momentary assessment (EMA) study aimed to explore the relationship between objectively and subjectively measured […]

Purpose: Suicide is a leading public health concern among transgender and gender expansive adolescents, although little research has examined mechanisms through which gender identity is associated with suicidal ideation. This study examined the indirect effects of peer victimization, dating violence, substance use (SU), SU problems, and depressive symptoms in the relationship between gender identity and suicidal […]

We propose a method that integrates supervised extractive and generative language models for providing supporting evidence of suicide risk in the CLPsych 2024 shared task. Our approach comprises three steps. Initially, we  construct a BERTbased model for estimating sentence-level suicide risk and negative sentiment. Next, we precisely identify high suicide risk sentences by emphasizing elevated […]

Suicide has become a major public health and social concern in the world . This Paper looks into a method through use of LLMs (Large Lan- guage Model) to extract the likely reason for a person to attempt suicide , through analysis of their social media text posts detailing about the event , using this […]

This study aimed to determine suicide, suicidal ideation and related predisposing factors among university students. The sample of this cross-sectional study included 1,451 students studying at a university in Sanlırfa between October 1, 2022 and January 1, 2023. Data were collected online using a questionnaire prepared by the researchers and the Suicide Probability Scale (SPS). […]

Patients with depressive disorders are especially prone to suicide risk. Among the clinical predictors of suicidality, those specifically related to depressive disorders have not been accurately detailed. Our aim was to conduct a systematic review and meta-analysis of studies reporting longitudinal predictors of suicidal ideation, suicide attempts and suicide death within depression, including diagnostic subtypes, […]

Background: In this article we focused on analyzing surveyed patient-generated responses based on two outcome questions derived from a suicide-specific framework called the Collaborative Assessment and Management of Suicidality (CAMS): Q1 – “Were there any aspects of your treatment that were particularly helpful to you? If so, please describe these. Be as specific as possible.” […]

Suicide and suicidal tendencies have become a global public health problem. It is reported that more than 700 000 deaths are due to suicide. Suicide is the fourth leading cause of death among 15-29 year olds. Therefore, there are many studies conducted to find suitable solutions to prevent or reduce suicidal deaths. Many epidemiological surveys […]

Background: Social media platforms have been increasingly used to express suicidal thoughts, feelings, and acts, raising public concerns over time. A large body of literature has explored the suicide risks identified by people’s expressions on social media. However, there is not enough evidence to conclude that social media provides public surveillance for suicide without aligning […]

Objective: Develop a stakeholder-informed ethical framework to provide practical guidance to health systems considering implementation of suicide risk prediction models. Methods: In this multi-method study, patients and family members participating in formative focus groups (n = 4 focus groups, 23 participants), patient advisors, and a bioethics consultant collectively informed the development of a web-based survey; survey results (n = […]

As suicide rates increase worldwide, the mental health industry has reached an impasse in attempts to assess patients, predict risk, and prevent suicide. Traditional assessment tools are no more accurate than chance, prompting the need to explore new avenues in artificial intelligence (AI). Early studies into these tools show potential with higher accuracy rates than […]

Growing evidence has shown that applying machine learning models to large clinical data sources may exceed clinician performance in suicide risk stratification. However, many existing prediction models either suffer from “temporal bias” (a bias that stems from using case-control sampling) or require training on all available patient visit data. Here, we adopt a “landmark model” […]

Suicide risk prediction models can identify individuals for targeted intervention. Discussions of transparency, explainability, and transportability in machine learning presume complex prediction models with many variables outperform simpler models. We compared random forest, artificial neural network, and ensemble models with 1500 temporally defined predictors to logistic regression models. Data from 25,800,888 mental health visits made […]

The Youth Risk Behavior Survey Data Summary & Trends Report: 2011–2021 provides the most recent surveillance data, as well as 10-year trends, on health behaviors and experiences among high school students in the United States (U.S.) related to adolescent health and well-being. These include sexual behaviors, substance use, suicidal thoughts and behaviors, experiences such as […]

Objectives The aims of this review were to calculate the diagnostic accuracy statistics of risk scales following self-harm and consider which might be the most useful scales in clinical practice. Design Systematic review. Methods We based our search terms on those used in the systematic reviews carried out for the National Institute for Health and Care Excellence self-harm […]

The study examined the Psychological factors as predictors of suicide actions among undergraduates in Ekiti State, Nigeria. The study adopted descriptive survey research design. Two hundred (200) samples of engineering students of Federal University Oye-Ekiti were randomly selected. Data were collected from primary sources. The framing theory was applied by using different suicide reports on […]

Aim: Identifying correlates of suicidality is an important goal for suicide researchers because these correlates may predict suicidal behaviors. Psychological tasks that assess sensitivity to the outcomes of actions (i.e., consequence-based learning) have been commonly used by researchers seeking to identify correlates of suicidality. This is likely due to the straightforward integration of the tasks within […]

Objective Research on risk factors of suicide attempt has yielded little improvement in imminent risk detection for clinicians, due in part to the inherent limitations of self-report methodologies. Therefore, objective behavioral indicators of suicide risk that can be implemented practically with little cost in clinical settings are needed. Method The current study examined verbal response […]

Ecological Momentary Assessment has been used to investigate a wide range of behaviors and psychiatric conditions. Previous investigations have consistently obtained promising results with high acceptance and compliance rates, and with only minor reactive effects for specific variables. Despite the promise of this methodology for the study of severe psychiatric populations, little is known about its […]

Objective: Preliminary work indicates one specific aspect of emotion dysregulation (i.e., limited access to emotion regulation strategies) uniquely associates with adolescent suicide ideation. An optimal score cut point on a measure of this emotion dysregulation impairment has been identified to indicate risk for past-year suicidal ideation. Examining types of child abuse and neglect associated with being […]

Background: The public health sector has advocated for more innovative, technology-based, suicide prevention education for the community, to improve their ability to detect and respond to suicide risk. Emerging evidence suggests addressing the bystander effect through the Bystander Intervention Model (BIM) in education material may have potential for suicide prevention. Aims: The current study aimed to assess whether […]

Background Suicide is a global health crisis. However, no objective biomarkers of suicide risk currently exist, and self-reported data can be unreliable, which limits prediction, diagnostic, and treatment efforts. Reliable biomarkers that can differentiate between diagnostic subgroups, predict worsening symptoms, or suggest novel therapeutic targets would be extremely valuable for patients, researchers, and clinicians. Methods […]

Most suicide research focuses on acute precipitants and is conducted in high-risk populations. Yet, vulnerability to suicide is likely established years prior to its occurrence. In this study, we aimed to investigate the risk of suicide mortality conferred by prenatal sociodemographic and pregnancy-related factors. Offspring of participants (N = 49,853) of the Collaborative Perinatal Project, a U.S. […]