Literature DB >> 32123464

Nonlinear change processes and the emergence of suicidal behavior: a conceptual model based on the fluid vulnerability theory of suicide.

Craig J Bryan1, Jonathan E Butner2, Alexis M May3, Kelsi F Rugo1, Julia Harris1, D Nicolas Oakey1, David C Rozek1, AnnaBelle O Bryan1.   

Abstract

Although ideation-to-action theories of suicide aim to explain the emergence of suicidal behaviors, researchers have primarily focused on the content of underlying mechanisms (i.e., who dies by suicide). Much less attention has focused on the temporal dynamics of suicide risk (i.e., when suicide occurs). The fluid vulnerability theory conceptualizes suicide as an inherently dynamic construct that follows a nonlinear time course. Newer research implicates the existence of multiple nonlinear change processes among suicidal individuals, some of which appear to be associated with the emergence of suicidal behavior. The cusp catastrophe model provides a useful model for conceptualizing these change processes and provides a foundation for explaining a number of poorly understood phenomena including sudden emergence of suicidal behavior without prior suicidal planning. The implications of temporal dynamics for suicide-focused theory, practice, and research are discussed.

Entities:  

Keywords:  dynamical systems theory; fluid vulnerability theory; nonlinearity; suicide

Year:  2020        PMID: 32123464      PMCID: PMC7050543          DOI: 10.1016/j.newideapsych.2019.100758

Source DB:  PubMed          Journal:  New Ideas Psychol        ISSN: 0732-118X


  48 in total

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5.  Patterns of change in suicide ideation signal the recurrence of suicide attempts among high-risk psychiatric outpatients.

Authors:  Craig J Bryan; David C Rozek; Jon Butner; M David Rudd
Journal:  Behav Res Ther       Date:  2019-04-09

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Authors:  Evan M Kleiman; Brianna J Turner; Szymon Fedor; Eleanor E Beale; Jeff C Huffman; Matthew K Nock
Journal:  J Abnorm Psychol       Date:  2017-05-08

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Journal:  JAMA Psychiatry       Date:  2014-05       Impact factor: 21.596

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Authors:  Alexander J Millner; Michael D Lee; Matthew K Nock
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

10.  Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value.

Authors:  Catherine M McHugh; Amy Corderoy; Christopher James Ryan; Ian B Hickie; Matthew Michael Large
Journal:  BJPsych Open       Date:  2019-03
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  13 in total

1.  Differentiating Adolescent Suicide Attempters and Ideators: A Classification Tree Analysis of Risk Behaviors.

Authors:  Alexis M May; Ewa K Czyz; Brady T West
Journal:  J Adolesc Health       Date:  2020-06-21       Impact factor: 5.012

Review 2.  Advancing the Understanding of Suicide: The Need for Formal Theory and Rigorous Descriptive Research.

Authors:  Alexander J Millner; Donald J Robinaugh; Matthew K Nock
Journal:  Trends Cogn Sci       Date:  2020-07-14       Impact factor: 20.229

3.  Integrating a functional view on suicide risk into idiographic statistical models.

Authors:  Aleksandra Kaurin; Alexandre Y Dombrovski; Michael N Hallquist; Aidan G C Wright
Journal:  Behav Res Ther       Date:  2021-11-30

4.  Pathways to suicide or collections of vicious cycles? Understanding the complexity of suicide through causal mapping.

Authors:  Philippe J Giabbanelli; Ketra L Rice; Michael C Galgoczy; Nisha Nataraj; Margaret M Brown; Christopher R Harper; Minh Duc Nguyen; Romain Foy
Journal:  Soc Netw Anal Min       Date:  2022-06-15

5.  The relevance of the interpersonal theory of suicide for predicting past-year and lifetime suicidality in autistic adults.

Authors:  R L Moseley; N J Gregory; P Smith; C Allison; S Cassidy; S Baron-Cohen
Journal:  Mol Autism       Date:  2022-03-21       Impact factor: 6.476

6.  Expanding our understanding of the relationship between nonsuicidal self-injury and suicide attempts: The roles of emotion regulation self-efficacy and the acquired capability for suicide.

Authors:  Kim L Gratz; Tara L Spitzen; Matthew T Tull
Journal:  J Clin Psychol       Date:  2020-03-30

7.  Using Machine Learning to Predict Suicide Attempts in Military Personnel.

Authors:  David C Rozek; William C Andres; Noelle B Smith; Feea R Leifker; Kim Arne; Greg Jennings; Nate Dartnell; Craig J Bryan; M David Rudd
Journal:  Psychiatry Res       Date:  2020-10-22       Impact factor: 3.222

8.  Temporal-dimensional examination of the Scale for Suicidal Ideation in a cohort of service members in treatment for PTSD.

Authors:  Jonathan E Butner; Craig J Bryan; Jeffrey V Tabares; Lily A Brown; Stacey Young-McCaughan; Willie J Hale; Jim Mintz; Brett T Litz; Jeffrey S Yarvis; Brooke A Fina; Edna B Foa; Patricia A Resick; Alan L Peterson
Journal:  Psychol Trauma       Date:  2021-10

9.  Identifying suicidal subtypes and dynamic indicators of increasing and decreasing suicide risk in active duty military personnel: Study protocol.

Authors:  Lily A Brown; Craig J Bryan; Jonathan E Butner; Jeffrey V Tabares; Stacey Young-McCaughan; Willie J Hale; Brooke A Fina; Edna B Foa; Patricia A Resick; Daniel J Taylor; Hillary Coon; Douglas E Williamson; Katherine A Dondanville; Elisa V Borah; Carmen P McLean; Jennifer Schuster Wachen; Kristi E Pruiksma; Ann Marie Hernandez; Brett T Litz; Jim Mintz; Jeffrey S Yarvis; Adam M Borah; Karin L Nicholson; Douglas M Maurer; Kevin M Kelly; Alan L Peterson
Journal:  Contemp Clin Trials Commun       Date:  2021-02-16

10.  Integration and Validation of a Natural Language Processing Machine Learning Suicide Risk Prediction Model Based on Open-Ended Interview Language in the Emergency Department.

Authors:  Joshua Cohen; Jennifer Wright-Berryman; Lesley Rohlfs; Douglas Trocinski; LaMonica Daniel; Thomas W Klatt
Journal:  Front Digit Health       Date:  2022-02-02
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