Determining demographic and previous suicide risk factors associated with developing a plan for suicide with a firearm

IF 3.7 2区 医学 Q1 PSYCHIATRY
Allison E. Bond , Samuel Gerry , Craig J. Bryan , Michael D. Anestis
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引用次数: 0

Abstract

Objective

Examine demographic factors associated with developing a plan for suicide with a firearm among a sample of military service members, veterans, and adult dependents.

Methods

Participants (N = 2690) were current military service members, Veterans, and adult dependents. A binary logistic regression was used to examine demographic variables associated with having developed a plan for suicide with a firearm.

Result

A binary logistic regression indicates that men and those who identify as White had a significantly increased likelihood of having developed a plan for suicide with a firearm compared to another method.

Conclusion

Findings represent a meaningful, incremental addition to the literature, by providing insight into who is most likely to develop suicide plans involving a firearm. Health care providers should provide information on secure firearm storage to those whose identities align with our results in an effort to reduce access to firearms during a time of crisis.
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来源期刊
Journal of psychiatric research
Journal of psychiatric research 医学-精神病学
CiteScore
7.30
自引率
2.10%
发文量
622
审稿时长
130 days
期刊介绍: Founded in 1961 to report on the latest work in psychiatry and cognate disciplines, the Journal of Psychiatric Research is dedicated to innovative and timely studies of four important areas of research: (1) clinical studies of all disciplines relating to psychiatric illness, as well as normal human behaviour, including biochemical, physiological, genetic, environmental, social, psychological and epidemiological factors; (2) basic studies pertaining to psychiatry in such fields as neuropsychopharmacology, neuroendocrinology, electrophysiology, genetics, experimental psychology and epidemiology; (3) the growing application of clinical laboratory techniques in psychiatry, including imagery and spectroscopy of the brain, molecular biology and computer sciences;
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