Temporal profiles of suicidal thoughts in daily life: Results from two mobile-based monitoring studies with high-risk adolescents

Czyz, Ewa K.; Koo, Hyun Jung; Al‐Dajani, Nadia; Kentopp, Shane D; Jiang, Amanda; King, Cheryl A.

doi:10.1016/j.jpsychires.2022.06.050

Cited by 15 publications

(7 citation statements)

References 44 publications

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“…For example, findings emerging from dynamic systems theory support the nonlinearity by which suicidal thoughts change and suicidal behavior emerges (Bryan, 2022), emphasizing the importance of measuring fluctuations in suicidal ideation over time. In recently hospitalized adolescent specifically, suicidal ideation is not uniform and instead follows discrete longitudinal profiles of varying severity and chronicity (Czyz et al, 2022; Czyz & King, 2015; Wolff et al, 2018). A growing body of work has also identified subtypes of suicide experiences, one characterized by fluctuating suicidal ideation that leads to more unpredictable suicide attempts and another characterized by sustained suicidal ideation that can lead to planned attempts (Bernanke et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Safety plan use in the daily lives of adolescents after psychiatric hospitalization

May,

Al‐Dajani,

Ballard

et al. 2023

Suicide & Life Threat Behav

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IntroductionSafety planning type interventions (SPTI's) are brief suicide‐specific interventions. Little is known about safety plan use during high‐risk periods, and whether safety plan use is influenced by baseline characteristics. This study examined how adolescents recently hospitalized for suicide risk use their safety plans post‐discharge, tested moderators of safety plan utilization, and explored the relationship between changes in utilization and changes in suicidal ideation (SI) over time.MethodsSeventy‐eight adolescents hospitalized for suicide risk who participated in a pilot trial of safety planning responded to one survey/day for 4 weeks post‐discharge and completed a 1‐month assessment.ResultsOver 90% of adolescents reported having access to their safety plan during the month post‐discharge. Safety plan use and SI declined over time. No baseline characteristics predicted safety plan use in the 4 weeks after discharge, or changes in safety plan use over time. However, the relationship between changes in safety plan use and changes in SI was moderated. For girls, SI and safety plan use rose and fell together; for boys, safety plan use declined regardless of changes in SI.ConclusionsHigh‐risk adolescents retain and use their safety plans. Results underscore the importance of looking at sex effects on SPTI utilization.

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Section: Discussionmentioning

confidence: 99%

Safety plan use in the daily lives of adolescents after psychiatric hospitalization

May,

Al‐Dajani,

Ballard

et al. 2023

Suicide & Life Threat Behav

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“…The motivations behind suicide can vary widely, ranging from intense despair and anger to intentions of punishing others or conveying specific information, and sometimes, they manifest even without explicit reason (Meyer et al, 2017). Clinically, suicide ideation displays significant heterogeneity in their causes, stability, duration, frequency (Czyz et al, 2022;Shiratori et al, 2014;Spangenberg et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

A computational model of general suicide ideation

Li,

2024

Preprint

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Suicidal ideation represents one of the most complex mental phenomena and poorly understood. This paper explores the psychic mechanisms of suicide ideation through a novel approach that combines computational methods with Lacanian psychoanalysis, specifically utilizing free energy principle (FEP). We begin by outlining foundational concepts of FEP and computational Lacanian psychoanalysis. Subsequently, we review contemporary theories of suicide thought including Interpersonal theory, Escape theory, and Lacanian and other psychoanalytic perspectives. We identify four components of suicidal ideation: symbolic suicide, imaginary suicide, desire for death, and passage of the act. A recurrent generative model is proposed that simulates suicidal impulses based on internal states and external events. We discuss enhancing the practical applicability and validating this theoretical model using real-world data like Social Readjustment Rating Scale and Personality Inventory for DSM-5 (PID-5). The predictive capability of our model is evaluating using an open-source dataset of PID-5 and Columbia Suicide Severity Rating Scale, achieving an AUC of 0.76, despite the absence of life event data. The model demonstrates the potential of generative psychometrics as a paradigm for integrating psychometric measurement with generative modeling of psychological phenomena. Further work should validate the model by incorporating external factors to refine its explanatory and predictive power. With continued development, this generative psychometric approach could provide new tools for better assessing, understanding, and treating suicidal ideation.

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“…In particular, studies that collected EMA provided important evidence related to the presence of fluctuations in SI, highlighting that suicidal thoughts are dynamic over short periods ( Hallensleben et al, 2017 ; Czyz et al, 2019 ). Specific EMA items related to the suicide risk can investigate the suicide desire and suicide intent, the inability to keep self-safe, the sense of hopelessness, and emotional dysregulation ( Czyz et al, 2022 ). A growing number of EMA and daily diary studies have revealed important insights about self-injurious thoughts and behaviors occurring in daily life, including nonsuicidal self-injury (NSSI) and its underlying functions ( Czyz et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“…Specific EMA items related to the suicide risk can investigate the suicide desire and suicide intent, the inability to keep self-safe, the sense of hopelessness, and emotional dysregulation ( Czyz et al, 2022 ). A growing number of EMA and daily diary studies have revealed important insights about self-injurious thoughts and behaviors occurring in daily life, including nonsuicidal self-injury (NSSI) and its underlying functions ( Czyz et al, 2022 ). Czyz et al (2018) adopted a daily diary design to examine near-term risk factors for suicide ideation in adolescents over 28 days post-hospitalization, founding that the adoption of these tools was feasible and acceptable among adolescents during this high-risk period ( Sequeira et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Issues and opportunities of digital phenotyping: ecological momentary assessment and behavioral sensing in protecting the young from suicide

et al. 2023

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Digital phenotyping refers to the collection of real-time biometric and personal data on digital tools, mainly smartphones, and wearables, to measure behaviors and variables that can be used as a proxy for complex psychophysiological conditions. Digital phenotyping might be used for diagnosis, clinical assessment, predicting changes and trajectories in psychological clinical conditions, and delivering tailored interventions according to individual real-time data. Recent works pointed out the possibility of using such an approach in the field of suicide risk in high-suicide-risk patients. Among the possible targets of such interventions, adolescence might be a population of interest, since they display higher odds of committing suicide and impulsive behaviors. The present work systematizes the available evidence of the data that might be used for digital phenotyping in the field of adolescent suicide and provides insight into possible personalized approaches for monitoring and treating suicidal risk or predicting risk trajectories. Specifically, the authors first define the field of digital phenotyping and its features, secondly, they organize the available literature to gather all the digital indexes (active and passive data) that can provide reliable information on the increase in the suicidal odds, lastly, they discuss the challenges and future directions of such an approach, together with its ethical implications.

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Temporal profiles of suicidal thoughts in daily life: Results from two mobile-based monitoring studies with high-risk adolescents

Cited by 15 publications

References 44 publications

Safety plan use in the daily lives of adolescents after psychiatric hospitalization

Safety plan use in the daily lives of adolescents after psychiatric hospitalization

A computational model of general suicide ideation

Issues and opportunities of digital phenotyping: ecological momentary assessment and behavioral sensing in protecting the young from suicide

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