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February 14, 2026Crisis1 citations

Understanding Intentions to Disclose Suicidal Thoughts and Intent

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LMLauren E. McBrideHBH K BakerAFAnthony Fulginiti

Key Points

  • This study aims to identify how social network characteristics influence the disclosure of suicidal thoughts and intent, especially in relation to depression.
  • Participants included 87 adults with suicidal ideation or depressive symptoms.
  • An egocentric social network measure was used to assess relationship features and disclosure likelihood.
  • Generalized estimating equations with clustering evaluated disclosure associations with social characteristics and perceived benefits and risks.
  • Higher closeness and emotional support predicted greater likelihood of disclosing suicidal thoughts.
  • Depression severity negatively correlated with disclosure likelihood.
  • Perceived benefits, such as emotional support, influenced disclosure intentions, while risks did not.

Abstract

Abstract: Background: Nondisclosure of suicidal thoughts is common and impedes suicide prevention. Consistent predictors of suicide disclosure have not been identified, and it is unclear how depression impacts various aspects of disclosure. Disclosure occurs within relationships, but few studies have used social network measures to understand structure, quality, and functional factors influencing disclosure. Aims: This study aimed to understand whether social network characteristics predict likelihood to disclose suicidal thoughts and intent. Methods: N = 87 adults experiencing suicidal ideation and/or depressive, anxious, or psychotic symptoms completed an egocentric social network measure assessing relationship features, likelihood to disclose suicidal thoughts and intent, and perceived benefits and risks of disclosure for each network member. Participants also completed a general suicide help-seeking scale. Generalized estimating equations with participant-level clustering evaluated associations between disclosure likelihood (thoughts and intent) and structural, functional, and quality social characteristics, as well as perceived benefits (e.g., emotional support) and risks (e.g., embarrassment) of disclosure. Spearman’s correlations assessed associations between disclosure likelihood and depression symptoms, as well as general help-seeking. Results: On average, networks had 4.7 people ( SD = 1.7). Higher closeness and emotional support, but not network size, predicted greater likelihoods of disclosing suicidal thoughts and intent. Depression severity was negatively correlated with disclosure likelihood, and the association between emotional support and disclosure likelihood was attenuated at higher depression levels. Perceived benefits, but not risks, were correlates of disclosure intentions. Limitations: Analyses were cross-sectional; it is unknown how social network changes would influence future disclosure. Most of the participants were not experiencing active suicidal ideation, which limits generalizability to more acutely distressed populations. Conclusions: Social network measurement facilitates understanding of suicide disclosure, and quality and functional aspects of relationships may be more impactful than structural aspects. Depression severity may attenuate the positive influence of emotional support on disclosure. Increasing perceived benefits of disclosure could be a novel suicide prevention strategy.

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Cite This Study

McBride et al. (2026) studied this question.

synapsesocial.com/papers/6990112b2ccff479cfe57b11https://doi.org/10.1027/0227-5910/a001053
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Social Media Disclosure of Suicidal Thoughts and Behaviors2026 · 1 citations
  2. 2Patterns of suicidal ideation disclosure among acute psychiatric inpatients2026
  3. 3Suicidality and mental health stigma and their impact on suicidal ideation disclosure: a narrative review2026 · 2 citations
  4. 4Suicide Risk After Social Network Exposure to Suicide Attempts in Adolescents and Young Adults2026 · 1 citations
  5. 5Simulation Networks Elucidate the Preliminary Structure of Suicide Risk Factors Among Adolescents2025