Evidence map›Paper›PMID 37344654›Full record

ArticleSocial psychiatry and psychiatric epidemiology2024

Social network structure as a suicide prevention target.

Ian Cero, Munmun De Choudhury, Peter A Wyman

Abstract read
PubMed Publisher
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Rationale for Accreditation Criteria for the MATES in Construction Workplace Suicide Prevention Program.New solutions : a journal of environmental and occupational health policy : NS · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Socio-Spatial Patterns of Suicide Mortality in the United States.medRxiv : the preprint server for health sciences · 2025
    Article
  8. Article
  9. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Ian CeroDepartment of Psychiatry, University of Rochester Medical Center, 300 Crittenden Blvd, Rochester, NY, 14642, USA. ian_cero@urmc.rochester.edu.ORCID http://orcid.org/0000-0002-2862-0450
Munmun De ChoudhurySchool of Interactive Computing, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-8939-264X
Peter A WymanDepartment of Psychiatry, University of Rochester Medical Center, 300 Crittenden Blvd, Rochester, NY, 14642, USA.
University of Rochester Medical Center · USGeorgia Institute of Technology · US

Funding

Institutional Career Development CoreKL2TR001999 · NCATS · UNIVERSITY OF ROCHESTER · PI XIAO, JIN · 2016 to 2024
$5.2M
NCATS NIH HHS KL2 TR001999NIMH NIH HHS L30 MH120727
6 · The paper itself

Abstract

purposeThe 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.

methodsA 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.

resultsEven 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.

conclusionSocial network structure is a neglected, but valuable intervention target for suicide prevention.

Indexed as

SuicideSuicide PreventionHumansSocial NetworkingSocial StructureClusterInterventionNetwork structureSimulationSocial networkSuicideTarget

Identifiers

PMID37344654
OpenAlexW4381480900

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.