Examining the Interrelationships Among Suicide Cognitions, Suicidal Ideation, and Theoretically Derived Protective Factors

Oakey-Frost, Nicolas; Cowan, Tovah; Moscardini, Emma H.; Pardue-Bourgeois, Sarah; Beurs, Derek de; Cohen, Alex; Bryan, Craig J.; Tucker, Raymond P.

doi:10.1080/13811118.2022.2096521

Cited by 7 publications

(4 citation statements)

References 65 publications

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“…Thus, instruments measuring suicide cognitions do not include outcomes outlined in measures like the Self-Injurious Thoughts and Behaviors Interview (Nock et al, 2007) including suicidal ideation, planning, preparation, or behavior. Constructs like these are empirically distinguishable (Chu et al, 2017) and evince significantly different relationships with other psychosocial constructs (Oakey-Frost et al, 2023) and behavioral outcomes (Bryan, Thomsen, et al, 2022).…”

Section: Suicide Cognitions Scalementioning

confidence: 99%

Measurement invariance of the Suicide Cognitions Scale–Revised (SCS-R).

Oakey-Frost,

Gerner,

Moscardini

et al. 2024

Psychological Assessment

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The Suicide Cognitions Scale–Revised (SCS-R) is a unidimensional measure of suicidal cognitions theorized to assess the suicide belief system. Several solutions have been proposed for the Suicide Cognitions Scale and SCS-R (e.g., bifactor model with two specific factors, bifactor model with two specific factors, three correlated factors model). Research indicates the endorsement of thoughts of suicide and suicide-related cognitions varies across demographics. Thus, the current investigation tested the measurement invariance (MI) of the SCS-R across gender, race, and sexual orientation within these proposed solutions and a unidimensional model. A national sample of N = 10,625 adults completed an online survey that included the SCS-R and self-report measures of demographics. Results indicated that the bifactor model with three specific factors, the bifactor model with two specific factors, and the three correlated factors models achieved scalar invariance across gender, race, and sexual orientation; a unidimensional model was not scalar invariant by gender. Tests of latent mean differences revealed significant differences in the general factor (i.e., suicidal belief system) and the specific unlovability, unbearability, and unsolvability factors between a few demographic groups. Implications for theory, measurement, and modeling are discussed.

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Section: Suicide Cognitions Scalementioning

confidence: 99%

Measurement invariance of the Suicide Cognitions Scale–Revised (SCS-R).

Oakey-Frost,

Gerner,

Moscardini

et al. 2024

Psychological Assessment

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“…Specifically, three types of models have been utilized. First, conceptual models such as concept maps and networks (i.e., graphs) that focus on identifying key concepts and relationships in the problem space instead of making point predictions (i.e., predicting future values under different scenarios) have been used to model the complex factors and relationships contributing to adolescent suicide [36,38,39], evaluate protective factors (e.g., social support) [40], and examine the role of anxiety and depression in suicidal thoughts [41]. Second, mathematical models (e.g., systems of differential equations) that represent the current system have investigated the spread of suicide in Greece [42] and predicted suicide rates in the United States, Brazil, and Sri Lanka [43].…”

Section: Introductionmentioning

confidence: 99%

Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art

Schuerkamp,

Liang,

Rice

et al. 2023

Computers

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Suicide is a leading cause of death and a global public health problem, representing more than one in every 100 deaths in 2019. Modeling and Simulation (M&S) is widely used to address public health problems, and numerous simulation models have investigated the complex, dependent, and dynamic risk factors contributing to suicide. However, no review has been dedicated to these models, which prevents modelers from effectively learning from each other and raises the risk of redundant efforts. To guide the development of future models, in this paper we perform the first scoping review of simulation models for suicide prevention. Examining ten articles, we focus on three practical questions. First, which interventions are supported by previous models? We found that four groups of models collectively support 53 interventions. We examined these interventions through the lens of global recommendations for suicide prevention, highlighting future areas for model development. Second, what are the obstacles preventing model application? We noted the absence of cost effectiveness in all models reviewed, meaning that certain simulated interventions may be infeasible. Moreover, we found that most models do not account for different effects of suicide prevention interventions across demographic groups. Third, how much confidence can we place in the models? We evaluated models according to four best practices for simulation, leading to nuanced findings that, despite their current limitations, the current simulation models are powerful tools for understanding the complexity of suicide and evaluating suicide prevention interventions.

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“…Kaleta and Mróz (2020) observed a negative correlation between these variables. Trait hope was also researched by Oakey-Frost (2022), explaining that it negatively predicted suicide cognitions. Nurdiyanto (2020) also found that hope was one of the reasons why suicidal ideation was suspended.…”

Section: Introductionmentioning

confidence: 99%

Forgiveness-Hope Relationships Considering the Risk of Depression: Samples from Public School Students in A Religious Country

Rahmandani

Amaranggani

2023

IJIEP

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This study aimed to describe forgiveness-hope relationships among normal adolescents and those at high risk of depression in Indonesia, which is considered a religious country. This study involved 713 adolescents from a state vocational school in Semarang, obtained purposively in both sample groups (Male=64.1%; nHigh Risk=42; nNormal=671). Measurements used the DASS-Depression, Forgiveness Scale, and State Hope Scale. Data distributions supported non-parametric tests. Statistical analysis particularly used Spearman's rho correlation. Additional analyses used descriptive statistics and Mann-Whitney U. The study resulted in a significant positive correlation in each sample group; the correlation coefficient was greater in the high risk sample. When the correlation in the normal sample was significant for each sex, the correlation in the male high-risk sample was not significant alone. Specifically, both sexes of the high-risk sample received benefits on their pathways but not agency subscale. Among all the forgiveness dimensions in the high-risk sample, only forgiveness of situation contributed to hope. The results indicate that forgiveness may encourage better hope in more depressed adolescents, especially female adolescents. Targeting forgiveness of situations is the primary thing for depressive adolescents, thus encouraging efforts to find coping strategies regardless of their capacity. Further examination using experimental methods can be suggested.

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Examining the Interrelationships Among Suicide Cognitions, Suicidal Ideation, and Theoretically Derived Protective Factors

Cited by 7 publications

References 65 publications

Measurement invariance of the Suicide Cognitions Scale–Revised (SCS-R).

Measurement invariance of the Suicide Cognitions Scale–Revised (SCS-R).

Simulation Models for Suicide Prevention: A Survey of the State-of-the-Art

Forgiveness-Hope Relationships Considering the Risk of Depression: Samples from Public School Students in A Religious Country

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