Evidence map›Paper›PMID 31177308›Full record

ArticleSocial psychiatry and psychiatric epidemiology2019

Spatiotemporal clustering of suicides in the US from 1999 to 2016: a spatial epidemiological approach.

Karla Therese L Sy, Jeffrey Shaman, Sasikiran Kandula, Sen Pei, Madelyn Gould, Katherine M Keyes

Abstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Quantitative Methods to Detect Suicide and Self-Harm Clusters: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Space-time self-harm and suicide clusters in two cities in Taiwan.Epidemiology and psychiatric sciences · 2023
    Article
  6. Article
  7. Racial Disparities in Spatial and Temporal Youth Suicide Clusters.Journal of the American Academy of Child and Adolescent Psychiatry · 2022
    Article
  8. Article
  9. Article
  10. Place, the Built Environment, and Means Restriction in Suicide Prevention.International journal of environmental research and public health · 2019
    Article
  11. Review
  12. 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

6 authors.

Karla Therese L SyDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA. rsy@bu.edu.ORCID http://orcid.org/0000-0003-0608-9811
Jeffrey ShamanDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Sasikiran KandulaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Sen PeiDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Madelyn GouldDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Katherine M KeyesDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.

Funding

Suicide as a contagion: modeling and forecasting emergent outbreaksR01MH121410 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M., SHAMAN, JEFFREY L · 2020 to 2024
$3.2M
Development and Dissemination of Operational Real-Time Respiratory Virus ForecastU01GM110748 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHAMAN, JEFFREY L · 2014 to 2018
$2.6M
Race, alcohol consumption and vehicle crashes: an epidemiologic paradoxK01AA021511 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEYES, KATHERINE M. · 2013 to 2017
$904k
Substance abuse history, mental health and firearm violence: from evidence to actionR21DA041154 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CERDA, MAGDALENA, KEYES, KATHERINE M. · 2016 to 2017
$440k
NIAAA NIH HHS K01 AA021511NIAAA NIH HHS K01AA021511NIDA NIH HHS R21 DA041154NIGMS NIH HHS R01GM110748NIGMS NIH HHS U01 GM110748NIMH NIH HHS R01 MH121410
6 · The paper itself

Abstract

purposeThis study aims to describe and characterize the spatial and temporal clustering patterns of suicide in the ten states with the greatest suicide burden in the United States from 1999 to 2016.

methodsAll suicide deaths from January 1, 1999 to December 31, 2016 in the United States were identified using data from the Wide-ranging Online Data for Epidemiologic Research (WONDER) dataset. The ten states with the highest age-adjusted suicide rates were Montana, Alaska, Wyoming, New Mexico, Nevada, Utah, Idaho, Colorado, Arizona, and Oklahoma. A spatiotemporal scan statistic using a discrete Poisson model was employed to retrospectively detect spatiotemporal suicide clusters.

resultsFrom 1999 to 2016, a total of 649,843 suicides were recorded in the United States. Nineteen statistically significant spatiotemporal suicide mortality clusters were identified in the states with the greatest suicide rates, and 13.53% of the suicide cases within these states clustered spatiotemporally. The risk ratio of the clusters ranged from 1.45 to 3.64 (p < 0.001). All states had at least one cluster, with three clusters spanning multiple states, and four clusters were found in Arizona. While there was no clear secular trend in the average size of suicide clusters, the number of clusters increased from 1999 to 2016.

conclusionsHot spots for suicidal behavior in the United States warrant public health intervention and continued surveillance. As suicide rates in the US continue to increase annually, public health efforts could be maximized by focusing on regions with substantial clustering.

Indexed as

Cluster AnalysisFemaleHumansMaleOdds RatioRetrospective StudiesSpatio-Temporal AnalysisSuicideUnited StatesYoung AdultCluster analysisEpidemiologySpatial statisticsSuicideSuicide clusters

Identifiers

PMID31177308
PMCPMC6858930

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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.