Evidence map›Paper›PMID 24495565›Full record

ArticleMedical hypotheses2014

Altitude is a risk factor for completed suicide in bipolar disorder.

Rebekah S Huber, Hilary Coon, Namkug Kim, Perry F Renshaw, Douglas G Kondo

Abstract read
In one paragraph

Article in Medical hypotheses, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Exploring the Link between Altitude of Residence and Smoking Patterns in the United States.International journal of environmental research and public health · 2024
    Article
  3. Molecular Changes Associated with Suicide.International journal of molecular sciences · 2023
    Review
  4. Article
  5. Bipolar Disorder and Suicide: a Review.Current psychiatry reports · 2020
    Review
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  7. Review
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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

5 authors at 3 institutions in 2 countries.

Rebekah S HuberThe Brain Institute, University of Utah, 383 Colorow Drive, Salt Lake City, UT 84108, United States. Electronic address: Rebekah.Huber@utah.edu.
Hilary CoonThe Brain Institute, University of Utah, 383 Colorow Drive, Salt Lake City, UT 84108, United States; Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States.
Namkug KimThe Brain Institute, University of Utah, 383 Colorow Drive, Salt Lake City, UT 84108, United States; Department of Radiology, Research Institute of Radiology, University of Ulsan College of Medicine, Seoul, South Korea.
Perry F RenshawThe Brain Institute, University of Utah, 383 Colorow Drive, Salt Lake City, UT 84108, United States; Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States; VISN 19 Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Medical Center, Salt Lake City, UT, United States.
Douglas G KondoThe Brain Institute, University of Utah, 383 Colorow Drive, Salt Lake City, UT 84108, United States; Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, United States; VISN 19 Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Medical Center, Salt Lake City, UT, United States.
University of Utah · USUlsan College · KRVA Rocky Mountain Network · US

Funding

Genetic analysis of high-risk Utah suicide pedigreesR01MH099134 · NIMH · UNIVERSITY OF UTAH · PI COON, HILARY · 2013 to 2017
$3.9M
Mentoring in Drug Abuse NeuroimagingK05DA031247 · NIDA · UNIVERSITY OF UTAH · PI RENSHAW, PERRY FRANKLIN · 2011 to 2015
$661k
NIDA NIH HHS DA031247NIDA NIH HHS K05 DA031247NIMH NIH HHS R01 MH099134
6 · The paper itself

Abstract

Bipolar disorder (BD) is a severe brain disease that is associated with a significant risk for suicide. Recent studies indicate that altitude of residence significantly affects overall rate of completed suicide, and is associated with a higher incidence of depressive symptoms. Bipolar disorder has shown to be linked to mitochondrial dysfunction that may increase the severity of episodes. The present study used existing data sets to explore the hypothesis that altitude has a greater effect of suicide in BD, compared with other mental illnesses. The study utilized data extracted from the National Violent Death Reporting System (NVDRS), a surveillance system designed by the Centers for Disease Control and Prevention (CDC) National Center for Injury Prevention and Control (NCIPC). Data were available for 16 states for the years 2005-2008, representing a total of 35,725 completed suicides in 922 U.S. counties. Random coefficient and logistic regression models in the SAS PROC MIXED procedure were used to estimate the effect of altitude on decedent's mental health diagnosis. Altitude was a significant, independent predictor of the altitude at which suicides occurred (F=8.28, p=0.004 and Wald chi-square=21.67, p<0.0001). Least squares means of altitude, independent of other variables, indicated that individuals with BD committed suicide at the greatest mean altitude. Moreover, the mean altitude at which suicides occurred in BD was significantly higher than in decedents whose mental health diagnosis was major depressive disorder (MDD), schizophrenia, or anxiety disorder. Identifying diagnosis-specific risk factors such as altitude may aid suicide prevention efforts, and provide important information for improving the clinical management of BD.

Indexed as

AltitudeSuicideBipolar DisorderHumansRisk Factors

Identifiers

PMID24495565
PMCPMC3981603
OpenAlexW2037952141

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.