Evidence map›Paper›PMID 41780442›Full record

ArticleJournal of psychiatric research2026

Social context in motion: The effects of personality traits on the dynamic links between interpersonal processes and suicidal ideation.

Aliona Tsypes, Lori N Scott

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Aliona TsypesDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: tsypesa@upmc.edu.
Lori N ScottDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Multimodal Assessment of Near-term Risk Processes for Suicide Ideation and BehaviorR01MH115922 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Lori N Scott · 2019 to 2026
$4.3M
Cortical oscillatory dynamics and decision deficits in suicidal behavior - ResubmissionK23MH130664 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Aliona Tsypes · 2023 to 2026
$734k
NCATS NIH HHS UL1 TR001857NIMH NIH HHS K23 MH130664NIMH NIH HHS R01 MH115922
6 · The paper itself

Abstract

backgroundSuicidal ideation (SI) is dynamic and closely tied to social context, yet most work treats these links as static or unidirectional. We tested a transactional account whereby SI and interpersonal appraisals co-evolve over hours and examined personality trait moderators.

methodYoung adults receiving behavioral treatment who endorsed SI and/or suicidal behavior in the past four months (N = 140) completed 21 days of ecological momentary assessment (7 prompts/day). At each prompt, participants reported current SI and rated interpersonal strain (rejection/criticism/exclusion/stress) and enrichment (enjoyment/connection/meaning/support) from interpersonal interactions. Dynamic structural equation models estimated five features of SI: reactivity, generation, inertia, instability, and intensity. Negative Affectivity, Detachment, and Disinhibition trait domains were tested as moderators.

resultsInterpersonal strain was associated with higher subsequent SI (reactivity), and higher SI was associated with higher subsequent strain (generation). Likewise, interpersonal enrichment was associated with lower subsequent SI, and higher SI was associated with lower subsequent enrichment. Detachment uniquely moderated these dynamic processes: higher Detachment was associated with larger SI increases after strain and larger SI decreases after enrichment, as well as higher SI intensity and instability, higher strain, and lower enrichment. Facet models indicated that Anhedonia concentrated Detachment-related risk (higher mean SI, higher strain intensity and instability, lower enrichment, higher SI inertia and instability, and stronger reactivity to strain/enrichment). In contrast, Intimacy Avoidance was associated with lower strain instability and lower enrichment intensity. Negative Affectivity and Disinhibition did not moderate dynamic paths.

conclusionsSI was linked to interpersonal appraisals through short-cycle, bidirectional associations that were moderated by Detachment, especially its Anhedonia facet.

Indexed as

Interpersonal RelationsPersonalitySocial EnvironmentSuicidal IdeationAdolescentAdultEcological Momentary AssessmentFemaleHumansMaleYoung AdultDynamic structural equation modelingEcological momentary assessmentInterpersonal stressPersonality traitsSuicidal ideation

Identifiers

PMID41780442
PMCPMC13033238

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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.