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Erschienen in: Social Network Analysis and Mining 1/2022

01.12.2022 | Original Article

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

verfasst von: Philippe J. Giabbanelli, Ketra L. Rice, Michael C. Galgoczy, Nisha Nataraj, Margaret M. Brown, Christopher R. Harper, Minh Duc Nguyen, Romain Foy

Erschienen in: Social Network Analysis and Mining | Ausgabe 1/2022

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Abstract

Suicide is the second leading cause of death among youth ages 10–19 in the USA. While suicide has long been recognized as a multifactorial issue, there is limited understanding regarding the complexities linking adverse childhood experiences (ACEs) to suicide ideation, attempt, and fatality among youth. In this paper, we develop a map of these complex linkages to provide a decision support tool regarding key issues in policymaking and intervention design, such as identifying multiple feedback loops (e.g., involving intergenerational effects) or comprehensively examining the rippling effects of an intervention. We use the methodology of systems mapping to structure the complex interrelationships of suicide and ACEs based on the perceptions of fifteen subject matter experts. Specifically, systems mapping allows us to gain insight into the feedback loops and potential emergent properties of ACEs and youth suicide. We describe our methodology and the results of fifteen one-on-one interviews, which are transformed into individual maps that are then aggregated and simplified to produce our final causal map. Our map is the largest to date on ACEs and suicide among youth, totaling 361 concepts and 946 interrelationships. Using a previously developed open-source software to navigate the map, we are able to explore how trauma may be perpetuated through familial, social, and historical concepts. In particular, we identify connections and pathways between ACEs and youth suicide that have not been identified in prior research, and which are of particular interest for youth suicide prevention efforts.

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Fußnoten
1
ACEs are preventable, potentially traumatic events that occur in childhood such as neglect, experiencing or witnessing violence, and having a family member attempt or die by suicide. This also includes aspects of a child’s environment that can undermine their sense of safety, stability, and bonding, such as growing up in a household with substance use, mental health problems, or instability due to parental separation or incarceration of a parent, sibling or other member of the household. ACEs have complex and negative influences on individual health outcomes throughout the life course, including increased risk of suicidal behaviors (World Health Organization 2014).
 
2
Fuzzy Cognitive Mapping (FCM) is “a powerful means to represent knowledge domains that are characterized by high complexity, by widespread knowledge sources that usually only have partial knowledge, by qualitative information that frequently changes, and by a lack of a commonly accepted ‘theory’ or ‘truth’” (Jetter 2006).
 
3
Fuzzy Logic can produce highly accurate estimates, as demonstrated by the use of FCMs in settings highly sensitive to errors such as radiotherapy treatment, diagnostics of brain tumor (where the system was above 90% accurate) (Amirkhani et al. 2017), or drug therapy management (Bevilacqua et al. 2018).
 
4
For the mathematical foundations of Fuzzy Logic and standard operations involved (Mamdani, Algebraic Sum, Center of Gravity), we refer the reader to (Xu and Da 2003; Kruse et al. 2016; Mamdani 1977).
 
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Metadaten
Titel
Pathways to suicide or collections of vicious cycles? Understanding the complexity of suicide through causal mapping
verfasst von
Philippe J. Giabbanelli
Ketra L. Rice
Michael C. Galgoczy
Nisha Nataraj
Margaret M. Brown
Christopher R. Harper
Minh Duc Nguyen
Romain Foy
Publikationsdatum
01.12.2022
Verlag
Springer Vienna
Erschienen in
Social Network Analysis and Mining / Ausgabe 1/2022
Print ISSN: 1869-5450
Elektronische ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-022-00886-9

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