Evidence map›Paper›PMID 38554058›Full record

ArticleSuicide & life-threatening behavior2024

A Swedish population-based study to evaluate the usefulness of resting heart rate in the prediction of suicidal behavior among males.

Séverine Lannoy, Henrik Ohlsson, Jan Sundquist, Kristina Sundquist, Alexis C Edwards

Open access · hybridAbstract read
In one paragraph

Article in Suicide & life-threatening behavior, 2024. 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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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Séverine LannoyDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.ORCID 0000-0001-7773-4553
Henrik OhlssonCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Jan SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Alexis C EdwardsDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.
Lund University · SEVirginia Commonwealth University · US

Funding

Harnessing advances in the genetics of suicidality to identify and dissect psychosocial pathways to riskR01MH129356 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI Alexis C Edwards · 2022 to 2026
$2.7M
NIMH NIH HHS MH129356NIMH NIH HHS R01 MH129356Vetenskapsrådet 2020-01175
6 · The paper itself

Abstract

introductionResting heart rate has been distinctly related to both internalizing (high pulse) and externalizing (low pulse) disorders. We aimed to explore the associations between resting heart rate and suicidal behavior (nonfatal suicide attempt [SA] and suicide death [SD]) and evaluate if such associations exist beyond the effects of internalizing/externalizing symptomatology.

methodWe used Cox proportional hazards models to evaluate the associations between resting heart rate (age 19) and later SA/SD in 357,290 Swedish men. Models were controlled for internalizing disorders, externalizing disorders, and resilience (the ability to deal with adversity). Co-relative analysis (comparing pairs of different genetic relatedness) was used to control for unmeasured family confounders and improve causal inference.

resultsIn baseline models, low resting heart rate was associated with SA (HR = 0.96; 95% CI: 0.95,0.98) and high resting heart rate with SD (HR = 1.04; 95% CI: 1.002,1.07). The association with SA remained after adjustment for all confounders (HR = 0.98). However, the association with SD did not persist after controlling for covariates. Co-relative analysis did not support causal associations.

conclusionsOur findings raise interesting etiological questions for the understanding of suicidal behaviors but do not support the usefulness of resting heart rate in suicide prediction.

Indexed as

ForecastingHeart RateRestSuicide, AttemptedDatabases, FactualHumansInternal-External ControlLongitudinal StudiesMaleProportional Hazards ModelsRegistriesResilience, PsychologicalRiskScandinavians and Nordic PeopleSuicide, CompletedSwedendeathpulseresiliencesuicide attempt

Identifiers

PMID38554058
PMCPMC11305960
OpenAlexW4393341742

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.