Evidence map›Paper›PMID 25023247›Full record

ArticleAnnals of internal medicine2014

Social integration and suicide mortality among men: 24-year cohort study of U.S. health professionals.

Alexander C Tsai, Michel Lucas, Ayesha Sania, Daniel Kim, Ichiro Kawachi

Open access · bronzeAbstract read
In one paragraph

Article in Annals of internal medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
16.1field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 83 citations in OpenAlex.

  1. A Pilot Randomized Trial of Engage Psychotherapy to Increase Social Connection and Reduce Suicide Risk in Later Life.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2021
    Trial
  2. Trial
  3. Social cohesion, social capital and mental health: current evidence and future research directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
    Article
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  7. The 5D indicators of suicide risk in older adults who are lonely.Annals of the New York Academy of Sciences · 2025
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  11. Social Disconnection in Late Life Suicide: An NIMH Workshop on State of the Research in Identifying Mechanisms, Treatment Targets, and Interventions.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2021
    Review
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  20. The neural correlates of low social integration as a risk factor for suicide.European archives of psychiatry and clinical neuroscience · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 2 countries.

Alexander C Tsai
Michel Lucas
Ayesha Sania
Daniel Kim
Ichiro Kawachi
Northeastern University · USHarvard University · USMassachusetts General Hospital · USMbarara University of Science and Technology · UG

Funding

Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Microenterprise to empower and improve health of HIV+ women in UgandaK23MH096620 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI TSAI, ALEXANDER C · 2012 to 2016
$922k
Neighborhood Socioeconomic Environments and Pathways to Coronary Heart DiseaseR00HL089459 · NHLBI · RAND CORPORATION · PI KIM, DANIEL · 2010 to 2012
$746k
NCI NIH HHS P01 CA055075NCI NIH HHS P01CA055075NHLBI NIH HHS R00 HL089459NIMH NIH HHS K23 MH096620
6 · The paper itself

Abstract

backgroundSuicide is a major public health problem. Current thinking about suicide emphasizes the study of psychiatric, psychological, or biological determinants. Previous work in this area has largely relied on surrogate outcomes or samples enriched for psychiatric morbidity.

objectiveTo evaluate the relationship between social integration and suicide mortality.

designProspective cohort study initiated in 1988.

settingUnited States.

participants34,901 men aged 40 to 75 years. MEASUREMENTS: Social integration was measured with a 7-item index that included marital status, social network size, frequency of contact, religious participation, and participation in other social groups. Vital status of study participants was ascertained through 1 February 2012. The primary outcome of interest was suicide mortality, defined as deaths classified with codes E950 to E959 from the International Classification of Diseases, Ninth Revision.

resultsOver 708,945 person-years of follow-up, there were 147 suicides. The incidence of suicide decreased with increasing social integration. In a multivariable Cox proportional hazards regression model, the relative hazard of suicide was lowest among participants in the highest (adjusted hazard ratio [AHR], 0.41 [95% CI, 0.24 to 0.69]) and second-highest (AHR, 0.52 [CI, 0.30 to 0.91]) categories of social integration. Three components (marital status, social network size, and religious service attendance) showed the strongest protective associations. Social integration was also inversely associated with all-cause and cardiovascular-related mortality, but accounting for competing causes of death did not substantively alter the findings. LIMITATIONS: The study lacked information on participants' mental well-being. Some suicides could have been misclassified as accidental deaths.

conclusionMen who were socially well-integrated had a more than 2-fold reduced risk for suicide over 24 years of follow-up. PRIMARY FUNDING SOURCE: National Institutes of Health and Robert Wood Johnson Foundation.

Indexed as

Social SupportAdultAgedCohort StudiesHealth PersonnelHumansMaleMarital StatusMental HealthMiddle AgedProportional Hazards ModelsReligion and PsychologyRiskSuicideUnited States

Identifiers

PMID25023247
PMCPMC4137390
OpenAlexW2094344866

What OpenQuestion holds

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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.