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Background: Suicide is one of the leading causes of death among adolescents, and developing effective methods to improve short-term prediction of suicidal thoughts and behaviors (STBs) is critical. Currently, the most robust predictors of STBs are demographic or clinical indicators that have relatively weak predictive value. However, there is an emerging literature on short-term prediction of suicide risk that has identified a number of promising candidates, including (but not limited to) rapid escalation of: (a) emotional distress, (b) social dysfunction (e.g., bullying, rejection), and (c) sleep disturbance. However, these prior studies are limited in two critical ways. First, they rely almost entirely on self-report. Second, most studies have not focused on assessment of these risk factors using intensive longitudinal assessment techniques that are able to capture the dynamics of changes in risk states at the individual level.Method: In this paper we explore how to capitalize on recent developments in real-time monitoring methods and computational analysis in order to address these fundamental problems.Results: We now have the capacity to use: (a) smartphone, wearable computing, and smart home technology to conduct intensive longitudinal assessments monitoring of putative risk factors with minimal participant burden and (b) modern computational techniques to develop predictive algorithms for STBs. Current research and theory on short-term risk processes for STBs, combined with the emergent capabilities of new technologies, suggest that this is an important research agenda for the future.Limitations: Although these approaches have enormous potential to create new knowledge, the current empirical literature is limited. Moreover, passive monitoring of risk for STBs raises complex ethical issues that will need to be resolved before large scale clinical applications are feasible.Conclusions: Smartphone, wearable, and smart home technology may provide one point of access that might facilitate both early identification and intervention implementation, and thus, represents a key area for future STB research. [ABSTRACT FROM AUTHOR]

Background: While prior research has demonstrated that peer victimization and bully perpetration contribute to non-suicidal self-injury (NSSI) and suicidal thoughts and behaviors (STBs), it remains unclear whether these interpersonal processes differentiate self-injuring adolescent suicide ideators and attempters.Methods: The study included adolescents aged 13-18 years (n = 223; M = 15.31, SD = 1.34) recruited from an acute inpatient program. Participants were divided into two groups: (1) NSSISI (n = 106): endorsed past year NSSI, current suicide ideation, and no lifetime suicide attempts and (2) NSSISI+SA (n = 117): endorsed past year NSSI, current suicide ideation, and lifetime suicide attempts. Adolescents completed clinical interviews (i.e., mental disorders, NSSI, and STBs) and self-report measures assessing peer victimization, bully perpetration, and depression severity.Results: NSSISI+SA youth reported higher levels of peer victimization and bully perpetration than NSSISI youth (ps < 0.01, ds = 0.36-0.37). Among the NSSISI+SA youth, bully perpetration was associated with a greater number of past month suicide attempts (p = 0.02, RR = 1.07). Only peer victimization was associated with greater NSSI behaviors in the past month (p = 0.04, RR = 1.01).Limitations: The study is cross-sectional, and reports of peer victimization and bully perpetration rely on self-report assessment.Conclusions: Peer victimization and bully perpetration differentiated adolescent suicide ideators and attempters, highlighting the need to address bully perpetration in addition to peer victimization in suicide interventions and research. [ABSTRACT FROM AUTHOR]