Social network structure as a suicide prevention target.

Cluster Intervention Network structure Simulation Social network Suicide Target

Journal

Social psychiatry and psychiatric epidemiology
ISSN: 1433-9285
Titre abrégé: Soc Psychiatry Psychiatr Epidemiol
Pays: Germany
ID NLM: 8804358

Informations de publication

Date de publication:
Mar 2024
Historique:
received: 13 02 2023
accepted: 08 06 2023
medline: 18 3 2024
pubmed: 22 6 2023
entrez: 21 6 2023
Statut: ppublish

Résumé

The structure of relationships in a social network affects the suicide risk of the people embedded within it. Although current interventions often modify the social perceptions (e.g., perceived support and sense of belonging) for people at elevated risk, few seek to directly modify the structure of their surrounding social networks. We show social network structure is a worthwhile intervention target in its own right. A simple model illustrates the potential of interventions to modify social structure. The effect of these basic structural interventions on suicide risk is simulated and evaluated. Its results are briefly compared to emerging empirical findings for real network interventions. Even an intentionally simplified intervention on social network structure (i.e., random addition of social connections) is likely to be both effective and safe. Specifically, this illustrative intervention had a high probability of reducing the overall suicide risk, without increasing the risk of those who were healthy at baseline. It also frequently resolved stable, high-risk clusters of people at elevated risk. These illustrative results are generally consistent with emerging evidence from real social network interventions for suicide. Social network structure is a neglected, but valuable intervention target for suicide prevention.

Identifiants

pubmed: 37344654
doi: 10.1007/s00127-023-02521-0
pii: 10.1007/s00127-023-02521-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

555-564

Subventions

Organisme : NIMH NIH HHS
ID : L30 MH120727
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR001999
Pays : United States
Organisme : NIMH NIH HHS
ID : L30 MH120727
Pays : United States
Organisme : NCATS NIH HHS
ID : KL2 TR001999
Pays : United States

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

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Auteurs

Ian Cero (I)

Department of Psychiatry, University of Rochester Medical Center, 300 Crittenden Blvd, Rochester, NY, 14642, USA. ian_cero@urmc.rochester.edu.

Munmun De Choudhury (M)

School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA.

Peter A Wyman (PA)

Department of Psychiatry, University of Rochester Medical Center, 300 Crittenden Blvd, Rochester, NY, 14642, USA.

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