Subgroups of suicidal ideation and simulated intervention responses among left-behind children with depression risk: an Ising computational network model
This study offers novel insights into suicidal ideation among left-behind children with depression risk, from an individual-centered level, demonstrating that positive suicidal ideation plays a more important role than negative ideation in both aggravation and alleviation intervention effects, with key targets varying across subgroups. Targeted interventions prioritizing positive ideation in high-risk groups are recommended to optimize prevention and treatment strategies.
Authors
- Xiewan Chen (ORCID: https://orcid.org/0009-0002-1588-2088)
- Kuiliang Li (ORCID: https://orcid.org/0009-0006-5662-9029)
- Xiaofan Yu (ORCID: https://orcid.org/0000-0001-9665-7805)
- Lei Ren (ORCID: https://orcid.org/0000-0002-5770-3271)
- Chang Liu (ORCID: https://orcid.org/0000-0002-9379-0130)
- Ling Li (ORCID: https://orcid.org/0000-0001-7487-135X)
Institutions
- Army Medical University (CN)
- QIMR Berghofer Medical Research Institute (AU)
- Sichuan Fine Arts Institute (CN)
- Chongqing University of Education (CN)
- Academy of Military Transportation (CN)
- Chongqing Medical University (CN)
- Shaanxi Normal University (CN)
Publication Details
- Journal
- BMC Psychiatry
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1186/s12888-025-07207-2
- Citations
- 1
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 2.12
Funders
- Chongqing Municipal Education Commission Foundation
- Chongqing Municipal Education Commission
- Army Medical University