Integrating a functional view on suicide risk into idiographic statistical models

Kaurin, Aleksandra; Dombrovski, Alexandre Y.; Hallquist, Michael N.; Wright, Aidan G.C.

doi:10.1016/j.brat.2021.104012

Cited by 35 publications

(26 citation statements)

References 101 publications

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“…Finally, all statistical tests reviewed in the present report commonly estimate average effects across individuals, relying on the assumption that effects are homogeneous between people and over time. However, the degree of between study heterogeneity observed in this review and recent findings suggesting SITBs are likely a multiply determined complex process that vary widely across individuals 26 , 53 , suggests that any assumption of homogeneity in the link between negative affect and SITBs on the person level may be incorrect 54 , 55 . It is possible that this variability may be so great both between and within individuals that links between SITBs and candidate risk factors could be non-ergodic (i.e., effects are not consistent across people or within the same person over time).…”

Section: Discussionmentioning

confidence: 68%

“…It is possible that this variability may be so great both between and within individuals that links between SITBs and candidate risk factors could be non-ergodic (i.e., effects are not consistent across people or within the same person over time). Rather than using a nomothetic, group-level approach to render uniform inferences across diverse individuals, an idiographic approach 54 – 57 may be especially beneficial for identifying consistency in relations between negative affect (or other antecedents/consequences) and SITBs across individuals and time.…”

Section: Discussionmentioning

confidence: 99%

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A meta-analysis on the affect regulation function of real-time self-injurious thoughts and behaviours

et al. 2022

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Prominent theories suggest self-injurious thoughts and behaviors (SITBs) are negatively reinforced by decreased negative affect. The present meta-analysis quantifies effects from intensive longitudinal studies measuring negative affect and SITBs. We obtained data from 38 of the 79 studies (48%; 22 unique datasets) involving N = 1,644 participants (80% female; 75% white). Individual participant data meta-analyses revealed changes in affect pre/post SITBs. In antecedent models, results supported increased negative affect before non-suicidal self-injurious (NSSI) behavior ( k = 14; 95% CI = 0.09 – 0.31) and suicidal thoughts ( k = 14; 95% CI = 0.03 – 0.19). For consequence models, negative affect was reduced following NSSI thoughts ( k = 6; 95% CI = −0.79 – −0.44), NSSI behaviors ( k = 14; 95% CI = −0.73 – −0.19) and suicidal thoughts ( k = 13; 95% CI = −0.79 – −0.23). Findings, which were not moderated by sampling strategies or sample composition, support the affect regulation function of SITBs.

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Section: Discussionmentioning

confidence: 68%

Section: Discussionmentioning

confidence: 99%

A meta-analysis on the affect regulation function of real-time self-injurious thoughts and behaviours

et al. 2022

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“…20 Personalization. Suicide risk is complex and heterogeneous, 19,25,26 but there is little guidance on how to personalize the content and format of existing interventions. Regarding content, current "gold-standard" psychosocial interventions for targeting suicide risk consist of some combination of the following elements: caring outreach/promoting social support, cognitive and behavioral skills (e.g., problem solving, distress tolerance), safety planning, and means restriction.…”

Section: Hindrances To Treatment Effectiveness For Suicidal Thoughts ...mentioning

confidence: 99%

Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions

Coppersmith¹,

Dempsey

Kleiman³

et al. 2022

Psychiatry

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The suicide rate (currently 14 per 100,000) has barely changed in the United States over the past 100 years. There is a need for new ways of preventing suicide. Further, research has revealed that suicidal thoughts and behaviors and the factors that drive them are dynamic, heterogeneous, and interactive. Most existing interventions for suicidal thoughts and behaviors are infrequent, not accessible when most needed, and not systematically tailored to the person using their own data (e.g., from their own smartphone). Advances in technology offer an opportunity to develop new interventions that may better match the dynamic, heterogeneous, and interactive nature of suicidal thoughts and behaviors. Just-In-Time Adaptive Interventions (JITAIs), which use smartphones and wearables, are designed to provide the right type of support at the right time by adapting to changes in internal states and external contexts, offering a promising pathway towards more effective suicide prevention. In this review, we highlight the potential of JITAIs for suicide prevention, challenges ahead (e.g., measurement, ethics), and possible solutions to these challenges.

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“…Idiographic approaches, which collect intensive longitudinal data from one individual and then develop a personalized statistical model (e.g., Fisher at al., 2017;Kaurin et al, 2022;Piccirillo & Rodebaugh, 2022), hold the potential to improve suicide prediction. Such approaches were also in accordance with the Fluid Vulnerability Theory of Suicide (Bryan et al, 2020), which conceptualizes suicide as an inherently dynamic construct that follows a nonlinear time course and differs drastically within an individual over time.…”

Section: Introductionmentioning

confidence: 99%

Idiographic dynamics between suicide ideation and depression, anxiety and posttraumatic stress symptoms in persons living with HIV: A pilot study

Zhu

Rodebaugh

Narine

et al. 2022

jpor

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Background: Given that suicide ideation (SI) fluctuates drastically over short periods of time and is heterogenous across individuals, idiographic suicide research is warranted. In this pilot study, we used intensive ecological momentary assessment (EMA) to examine whether anxiety, depression, and PTSD symptoms on a given day predicted next-day SI on a person-to-person basis. Methods: PLWH (N = 10) with past-month SI completed daily randomly assessed ratings of suicidal urges using the Suicide-Visual Analogue Scale (S-VAS) and daily assessed ratings of anxiety, depression, and PTSD symptoms for 28 days. We used N = 1 Dynamic Structural Equation Modeling to test whether depression, anxiety or PTSD symptoms in the prior day predicted next-day S-VAS for each individual. Results: Across all participants, S-VAS on a given day was not predicted by prior-day anxiety, PTSD symptoms or S-VAS. In one participant, higher depression symptoms predicted lower next-day S-VAS. Conclusions: Daily-level data may be insufficient to predict near-term increases in suicide risk based on anxiety, depression, or PTSD symptoms in PLWH. These findings suggest the importance of finer-grained assessments (e.g., assessing suicide risk and its correlates multiple times per day) to better understand changes in suicide risk over time among PLWH.

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Integrating a functional view on suicide risk into idiographic statistical models

Cited by 35 publications

References 101 publications

A meta-analysis on the affect regulation function of real-time self-injurious thoughts and behaviours

A meta-analysis on the affect regulation function of real-time self-injurious thoughts and behaviours

Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions

Idiographic dynamics between suicide ideation and depression, anxiety and posttraumatic stress symptoms in persons living with HIV: A pilot study

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