Evidence map›Paper›PMID 39549463›Full record

ArticleJournal of psychiatric research2024

Social connection and suicidal thoughts and behaviors in the Million Veteran Program cohort.

Kyle J Bourassa, Paul A Dennis, Pujan Patel, Xue J Qin, David A Sbarra, Elizabeth R Hauser, Allison E Ashley-Koch, Million Veteran Program, Jean C Beckham, Nathan A Kimbrel

Abstract read
In one paragraph

Article in Journal of psychiatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Kyle J BourassaVA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham VA Health Care System, USA; Department of Psychology, Georgetown University, USA; Geriatric Research, Education, and Clinical Center, Durham VA Health Care System, USA; Center for the Study of Aging and Human Development, Duke University Medical Center, USA; Durham Veterans Affairs Health Care System, Durham, NC, USA. Electronic address: kyle.bourassa@duke.edu.
Paul A DennisDurham Veterans Affairs Health Care System, Durham, NC, USA; VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, USA; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Pujan PatelDurham Veterans Affairs Health Care System, Durham, NC, USA; VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, USA.
Xue J QinDuke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, USA.
David A SbarraDepartment of Psychology, University of Arizona, USA.
Elizabeth R HauserDuke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Cooperative Studies Program Epidemiology Center, Durham VA Health Care System, USA; Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, USA.
Allison E Ashley-KochDuke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Department of Medicine, Biostatistics and Bioinformatics and Molecular Genetics and Microbiology, Duke University Medical Center, USA.
Million Veteran ProgramDepartment of Veterans Affairs, Office of Research and Development, USA.
Jean C BeckhamVA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham VA Health Care System, USA; Durham Veterans Affairs Health Care System, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.
Nathan A KimbrelVA Mid-Atlantic Mental Illness Research, Education and Clinical Center, Durham VA Health Care System, USA; Durham Veterans Affairs Health Care System, Durham, NC, USA; VA Health Services Research and Development Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.

Funding

Genetically Informed Studies of Social Connectedness and HealthR01AG078361 · NIA · UNIVERSITY OF ARIZONA · PI DAVID A SBARRA · 2022 to 2026
$5.6M
Connected Lives - Overcoming the Self through Empathy (CLOSE): A Dyadic, Multi-Method StudyR01MH125414 · NIMH · UNIVERSITY OF ARIZONA · PI Jessica Renee Andrews-Hanna, DAVID A SBARRA · 2021 to 2026
$3.0M
A Gene-by-Environment Genome-Wide Interaction Study (GEWIS) of Suicidal Thoughts and Behaviors in VeteransI01BX005881 · VA · DURHAM VA MEDICAL CENTER · PI JEAN C. BECKHAM, Nathan A. Kimbrel · 2023 to 2026
–
Posttraumatic Stress Disorder, Accelerated Biological Aging, and Veteran HealthIK2CX002694 · VA · DURHAM VA MEDICAL CENTER · PI Kyle J. Bourassa · 2023 to 2027
–
CSR&D Research Career Scientist AwardIK6BX003777 · VA · DURHAM VA MEDICAL CENTER · PI BECKHAM, JEAN C. · 2017 to 2023
–
BLRD VA I01 BX005881BLRD VA IK6 BX003777CSRD VA IK2 CX002694CSRD VA IK6 CX002767NIA NIH HHS R01 AG078361NIMH NIH HHS R01 MH125414
6 · The paper itself

Abstract

People with lower levels of social connection are at increased risk for suicidal thoughts and behaviors. This extends to populations at greater risk of death by suicide, including U.S. military veterans. Despite this well-established association, it is unclear which measures of social connection are most useful in identifying veterans who could benefit from intervention to prevent suicide. To this end, we used data from the Million Veteran Program (MVP) to investigate the measures of social connection most strongly associated with suicidal thoughts and behaviors. Our sample included 264,626 veterans who reported on three measures of social connection-marital status, household size, and perceived social support-and were assessed for suicidal thoughts and behaviors using electronic health records. Veterans who were partnered (OR = 0.78, 95% CI [0.76-0.80], p < .001), living with others (OR = 0.71, 95% CI [0.70-0.73], p < .001), or reported higher levels of social support (OR = 0.67, 95% CI [0.65-0.69], p < .001), were less likely to have suicidal thoughts and behaviors. These associations varied by veterans' age, sex, and era of military service. When combined into a single risk score, lower levels of social connection were associated with greater likelihood of suicidal thoughts and behaviors (β = 1.42, 95% CI [1.40-1.43], p < .001). Social support, particularly positive social interactions, showed the strongest associations with suicidal thoughts and behaviors in elastic net regression models. Common measures of social connection, particularly social support, could be useful in assessing suicide risk and treatment needs for veterans.

Indexed as

Social SupportSuicidal IdeationVeteransAdultAgedCohort StudiesFemaleHumansMaleMarital StatusMiddle AgedSuicide, AttemptedUnited StatesMarital statusSocial connectionSocial supportSuicidal ideationSuicide

Identifiers

PMID39549463
PMCPMC11606737

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Registered trials

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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.