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Mapping the Complexity of Suicide by Combining Participatory Modeling and Network Science
Philippe J Giabbanelli1, Michael C Galgoczy1, Duc M Nguyen1
1Department of Computer Science & Software Engineering, Miami University, Oxford, OH, United States.
Proceedings of the ... IEEE/ACM International Conference on Advances in Social Network Analysis and Mining. International Conference on Advances in Social Network Analysis and Mining
|May 22, 2023
Summary
Adverse childhood experiences (ACEs) are the most significant factor in youth suicide. This study maps 361 concepts and 946 connections, providing a comprehensive view of ACEs and youth suicide risk.
Area of Science:
- Public Health
- Network Science
- Psychology
Background:
- Youth suicide rates are rising in the USA.
- Existing suicide theories do not fully capture the complexity and interconnectedness of contributing factors.
- Adverse childhood experiences (ACEs) are recognized as a significant risk factor.
Purpose of the Study:
- To create the first comprehensive network map of adverse childhood experiences (ACEs) and youth suicide.
- To identify key factors and relationships within the complex problem of youth suicide.
- To provide an open-access resource for further research and intervention development.
Main Methods:
- A participatory approach involving 15 subject-matter experts.
- Application of network science to map interrelationships between concepts.
- Analysis of 361 concepts and 946 edges to identify central factors.
Main Results:
- Adverse childhood experiences (ACEs) were identified as the most important factor, based on degree centrality.
- A comprehensive network map of 946 edges and 361 concepts related to youth suicide and ACEs was generated.
- The map provides a novel visualization of the complex interplay of factors contributing to youth suicide.
Conclusions:
- The developed network map offers a new framework for understanding youth suicide.
- ACEs play a critical role in the network of factors contributing to youth suicide.
- The openly shared map can facilitate further network analyses and inform public health strategies for suicide prevention.
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