ArticlePDF Available

Firearms and Suicide in the United States: Is Risk Independent of Underlying Suicidal Behavior?

Authors:

Abstract and Figures

On an average day in the United States, more than 100 Americans die by suicide; half of these suicides involve the use of firearms. In this ecological study, we used linear regression techniques and recently available state-level measures of suicide attempt rates to assess whether, and if so, to what extent, the well-established relationship between household firearm ownership rates and suicide mortality persists after accounting for rates of underlying suicidal behavior. After controlling for state-level suicide attempt rates (2008–2009), higher rates of firearm ownership (assessed in 2004) were strongly associated with higher rates of overall suicide and firearm suicide, but not with nonfirearm suicide (2008–2009). Furthermore, suicide attempt rates were not significantly related to gun ownership levels. These findings suggest that firearm ownership rates, independent of underlying rates of suicidal behavior, largely determine variations in suicide mortality across the 50 states. Our results support the hypothesis that firearms in the home impose suicide risk above and beyond the baseline risk and help explain why, year after year, several thousand more Americans die by suicide in states with higher than average household firearm ownership compared with states with lower than average firearm ownership.
Content may be subject to copyright.
Original Contribution
Firearms and Suicide in the United States: Is Risk Independent of Underlying
Suicidal Behavior?
Matthew Miller*, Catherine Barber, Richard A. White, and Deborah Azrael
*Correspondence to Dr. Matthew Miller, Department of Health Policy and Management, Harvard School of Public Health, Room 305,
Kresge Building, 677 Huntington Avenue, Boston, MA 02115 (e-mail: mmiller@hsph.harvard.edu).
Initially submitted December 13, 2012; accepted for publication March 8, 2013.
On an average day in the United States, more than 100 Americans die by suicide;half of these suicides involve the
use of firearms. In this ecological study, we used linear regression techniques and recently available state-level mea-
sures of suicide attempt rates to assess whether, and if so, to what extent, the well-established relationship between
household firearm ownership rates and suicide mortality persists after accounting for rates of underlying suicidal behav-
ior. After controlling for state-level suicide attempt rates (20082009), higher rates of firearm ownership (assessed in
2004) were strongly associated with higher rates of overall suicide and firearm suicide, but not with nonfirearm suicide
(20082009). Furthermore, suicide attempt rates were not significantly related to gun ownership levels. These findings
suggest that firearm ownership rates, independent of underlying rates of suicidal behavior, largely determine varia-
tions in suicide mortality across the 50 states. Our results support the hypothesis that firearms in the home impose
suicide risk above and beyond the baseline risk and help explain why, year after year, several thousand more Ameri-
cans die by suicide in states with higher than average household firearm ownership compared with states with lower
than average firearm ownership.
firearms; guns; suicidality; suicide; suicide attempts
Abbreviation: BRFSS, Behavioral Risk Factor Surveillance System.
On an average day in the United States, more than100 Amer-
icans die by suicide; half of these suicides involve the use of
rearms (1). Suicide rates, both overall and by rearms, are
higher, in general, in places where household rearm owner-
ship is more common. By contrast, rates of suicide by methods
other than rearms are not signicantly correlated with rates of
household rearm ownership (2,3). This pattern of higher
suicide rates in places where rearms are more readily avail-
able, driven by higher rearm suicide rates, has been reported
in ecological studies that have adjusted for several potential
confounders, including aggregate measures of psychological
distress, degree of urbanization, alcohol and illicit drug use
and abuse, poverty, education, and unemployment (26). House-
hold rearm ownership has also consistently been found to be
a strong predictor of suicide risk in studies that use individual-
level data. Every US case-control study, for example, has found
that the presence of a gun in the home is a risk factor for suicide
(720). In addition, the only large US cohort study to examine
the rearm-suicide connection found that suicide rates among
California residents who purchased handguns from licensed
dealers were more than twice as likely to die by suicide as
were age- and sex-matched members of the general popula-
tion, not only immediately after the purchase, but throughout
the 6-year study period (21). Here too, the increase in suicide
risk was attributable entirely to an excess risk of suicide with
rearms (21).
The following observations further support the plausibil-
ity that the association between rearms and suicide is real:
1) the association is robust to adjustment for measures of psy-
chopathology (716), 2) the risk extends beyond the gun owner
to all household members (14,15,21) and persists for years
after rearms are purchased (14,15,21), 3) the rates of psy-
chiatric illness and psychosocial distress are similar among
households with rearms versus those without rearms (15,
2225), and 4) ecological studies of the rearm-suicide rela-
tionship, which are not subject to recall bias or to reverse
946 Am J Epidemiol. 2013;178(6):946955
American Journal of Epidemiology
© The Author 2013. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of
Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Vol. 178, No. 6
DOI: 10.1093/aje/kwt197
Advance Access publication:
August 23, 2013
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
causation, yield associations similar to those observed in
individual-level studies. Nevertheless, the idea that the avail-
ability of rearms plays an important role in determining a
persons suicide risk and a populations suicide rate continues
to meet with skepticism, the most decisive objection being
that empirical studies to date have not adequately controlled
for the possibility that members of households with rearms
are inherently more suicidal than members of households with-
out rearms (26).
The current study takes advantage of recently available state-
level suicide attempt data to put to test, for the rst time, the
hypothesis proffered by critics of the empirical literature that the
association between rearm ownership and suicide mortality
reects unmeasured suicidal proclivities associated with rearm
ownership rather than an independent risk of death by suicide
conferred by accessto guns. We test this hypothesis by assessing
whether the association between state-level rearm ownership
and completed suicide is robust to simultaneously accounting
for suicide attempt rates.
MATERIALS AND METHODS
Suicide mortality data for each state were obtained through
the Centers for Disease Control and Preventions (Atlanta,
Georgia) Web-Based Injury Statistics Query and Reporting
System (1). Suicide data are grouped by rearm methods (Inter-
national Classication of Diseases, Tenth Revision, E codes
X72X74) and nonrearm methods (International Classi-
cation of Diseases, Tenth Revision, E codes X60 X71, X75
X84, Y87.0, and U03). Analyses are based on mortality data
among adults aggregated over the 2-year period of 2008
2009, corresponding to the time period for which contempo-
raneous suicide attempt data are available.
State-level data on the percentage of individuals living in
households with rearms (gun prevalence) were obtained
from the 2004 Behavioral Risk Factor Surveillance System
(BRFSS); 2004 is the most recent year for which state-level
estimates are available (27). The BRFSS, the worlds largest
telephone survey (with more than 200,000 adult respondents
annually), is an ongoing data collection program sponsored
by the Centers for Disease Control and Prevention, with all
50 states participating. A detailed description of the survey
methods used by BRFSS is available elsewhere (2830).
Briey, trained interviewers collect data on a monthly basis
by using an independent probability sample of households
with telephones among the noninstitutionalized US popula-
tion aged 18 years or older. All BRFSS questionnaires and
data are available on the Internet (www.cdc.gov/brfss). Firearm
ownership information was obtained by interviewers who began
the rearm section of the survey by rst informing respon-
dents that the next three questions are about rearms. We
are asking these in a health survey because of our interest in
rearm-related injuries. Please include weapons such as pistols,
shotguns, and ries; but not BB guns, starter pistols, or guns
that cannot re. Include those kept in a garage, outdoor stor-
age area, or motor vehicle.Presence of rearms in the home
was assessed by asking respondents, Are any rearms kept
in or around your home?Firearm prevalence estimates
exclude respondents who did not know or refused to answer
the BRFSS rearm questions. Firearm ownership prevalence
data are also available from 2001 and 2002; the correlation
between the 2004 state-level measures of rearm ownership
and measures from 2002 and 2001 is nearly perfect (ρ=
0.98). In California, interviewers did not ask the household
rearms question in 2004; we substituted the rearm preva-
lence estimate from the 2002 questionnaire.
State-level measures of past-year suicide attempts were
obtained from the 2008 National Survey on Drug Use and
Health (31). The National Survey on Drug Use and Health is
a national- and state-level survey of a representative sample
of the noninstitutionalized US civilian population aged 12
years or older. The National Survey on Drug Use and Health
collects data on health risks related to the use of illicit drugs,
alcohol, and tobacco; initiation of substance use; substance
use disorders and treatment; health care; and mental health. The
report from which suicide attempt data were obtained asked
about suicidal thoughts and behaviors among adults only
(92,264 respondents aged 18 years or older in all 50 states in
the 2008 and 2009 surveys). Respondents were rst asked, The
next few questions are about thoughts of suicide. At any time
in the past 12 months, that is from [datell] up to and includ-
ing today, did you seriously think about trying to kill your-
self?If respondents answered that they had thought about
suicide, they were then asked, During the past 12 months,
did you try to kill yourself?Attempt data were also avail-
able separately for males, females, and adults aged 1829
years.
Our primary outcomes were the rate of suicides per state
during the 2-year study period, the rate of suicides involving
rearms, and the rate of suicides involving methods other
than rearms. Standard linear regression analyses were under-
taken in conjunction with a bootstrapping process, in which
10,000 articial data sets were generated to account for vari-
ability in the point estimates (as specied by the accompany-
ing survey-based 95% condence intervals). This was achieved
by performing individual linear regressions in each articial
data set and taking the 2.5th and 97.5th percentiles of effect
estimates as the boundaries for 95% condence intervals. The
data sets were created through sampling from Gaussian dis-
tributions with means and standard errors provided by the
original survey estimates. Both unweighted analyses and anal-
yses weighted by the statespopulations are shown. Subgroup
analyses are reported by using population-weighted regres-
sion results. The rate of suicidal acts, referred to herein assuicide
attempts unless otherwise noted, is the sum of suicidal acts that
are fatal (i.e., suicides) plus the far larger number of suicidal
acts that are nonfatal (i.e., past-year suicide attempts from the
National Survey on Drug Use and Health). Secondary strati-
ed analyses were performed for adult men, adult women,
adults aged 1829 years, and adults aged 30 years or older.
To illustrate our main ndings more concretely, we com-
pared suicide deaths and suicide attempts during our study
period in states that are the most extreme in their rearm prev-
alence. The group of high-prevalence states and the group of
low-prevalence states are matched so that the numbers of
person-years in the 2 groupings are approximately equal (i.e.,
the 16 states with the highest rearm prevalence are com-
pared with the 6 states with the lowest rearm prevalence).
Firearms and Suicide 947
Am J Epidemiol. 2013;178(6):946955
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
Similar mortality rate ratios were obtained when comparing
the 10 states that are most extreme in rearm prevalence (not
shown).
Our graphs depict the simultaneous effects of our 2 inde-
pendent variables of interest, rearm ownership and suicide
attempt rates, on our outcomes of interest, mortality from
suicide overall (Figure 1A), from suicide involving rearms
(Figure 1B), and from suicide involving all other methods
(Figure 1C). The visual discrepancy between a model that exam-
ines the crude relationship between household rearm own-
ership and suicide mortality (the solid regression line) and a
model that examines the simultaneous inuence of suicide
attempt and rearm ownership rates on suicide mortality (a line
visualized through the cross marks) is a representation of how
much the relationship between rearm ownership and suicide
mortality is affected by the covarying contribution of suicide
attempt rates. The state-level measures of suicide mortality,
household rearm ownership, and suicide attempt rates that were
used in the primary analyses are provided in the Appendix.
RESULTS
Higher rates of rearm ownership are strongly associated
with higher rates of overall suicide and rearm suicide, but
not with nonrearm suicide (Table 1). Suicide attempt rates
are not signicantly associated with suicide mortality rates in
Figure 1. The visual discrepancy between the solid regression line (a model that examines the crude relationship between household firearm
ownership and suicide mortality, A) by firearm suicides, B) by nonfirearm suicides, and C) overall) and a model that examines the simultaneous
influence of suicide attempt and firearm ownership rates on suicide mortality (a line that can be visualized through the cross marks) is a represen-
tation of how little the association between firearm ownership and suicide mortality is affected by the covarying contribution of suicide attempt
rates.
948 Miller et al.
Am J Epidemiol. 2013;178(6):946955
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
unadjusted models (correlation coefcient = 0.08, P= 0.60)
(data not shown) or in models that control for rearm owner-
ship ( partial correlationcoef cient = 0.02, P= 0.89) (Table 1).
Suicide attempt rates are also not signicantly associated with
rates of household gun ownership (data not shown). The prev-
alence of household rearm ownership, which ranges from
10% to 66% across the 50 states, explains 67% of the varia-
tion in rearm suicide, 42% of the variation in overall suicide,
and less than 2% of the variation in nonrearm suicide. By
contrast, suicide attempt rates, which range from 0.1% to
1.5%, explain less than 1% of the variation in rates of overall
suicide, rearm suicide, and nonrearm suicide. Indeed, suicide
attempt rates are not signicantly related to suicide mortality
rates overall or by method, even in crude comparisons. Adjust-
ment for suicide attempt data in regressions, therefore, has
little inuence on the magnitude of the associations between
rates of rearm ownership and suicide mortality. For example,
the partial correlation coefcient relating rates of household
rearm ownership and suicide mortality in our primary anal-
ysis is 0.6 whether or not suicide attempts are included in
theregression(datanotshown).Likewise,regardlessofwhether
suicide attempt rates are included in regressions, the partial
correlation coefcient relating household rearm ownership
and rearm suicide is 0.8 (data not shown).
Regression analyses further quantify these relationships.
Suicide rates are, on average, 0.22 deaths (per 100,000 pop-
ulation) higher in states where rearm ownership rates are 1
percentage point higher (31). The relationship between rearm
ownership and suicide rates is entirely accounted for by the
relationship between rearm ownership and rearm suicides,
as reected in a βcoefcient associated with rearm suicide
of 0.22 (95% condence interval: 0.18, 0.27), which is virtu-
ally identical to that for overall suicide (β= 0.21, 95% con-
dence interval: 0.14, 0.28); the βcoefcient relating rearm
ownership and nonrearm suicide is essentially null (β=0.02,
95% condence interval: 0.05, 0.02). By contrast, suicide
rates are only slightly higher (0.30 deaths per 100,000 popu-
lation) in states where rates of suicide attempts were 1 per-
centage point higher (Table 1). Because suicide attempt rates
vary from 0.1 to 1.5 per 100,000 population, the maximum
inuence of suicide attempt rates on the suicide mortality rates
observed across the50 states is small (0.30 × 1.4 = 0.42 deaths
per 100,000 population on a suicide rate scale that ranges from
8.6 to 28.9 deaths per 100,000 population). By contrast, because
rearm ownership prevalence ranges from 10% to 66%, the
corresponding (maximum) inuence of household rearm
ownership on suicide rates is 0.22 × 56 = 12.3 deaths per
100,000 population. Weighted and unweighted analyses pro-
duce virtually identical coefcients for household rearm
ownership in relationship to suicide mortality (Table 1). Like-
wise, the relationship between variation in suicide attempt rates
and suicide mortality in both weighted and unweighted anal-
yses is similar, nonsignicant, and materially trivial (Table 1).
Secondary stratied analyses by sex and by age groupings for
which suicide attempt data were available produce patterns
similar to those in primary analyses (Table 2).
Although the aggregate number of people residing in the
16 highgun ownership states and the 6 lowgun ownership
states is approximately equal, and the suicide attempt rates
are similar, almost twice as many adults (11,428) completed
Table 1. Association Between State-Level Measures of Household Firearm Ownership Prevalence
a
(2004), Suicide Attempt Rates
b
(20082009), and Suicide Mortality Rates
c
(20082009)
in the United States by Method of Suicide
Method of
Suicide
Partial Correlation Coefficient
d
Regression Coefficient
d
Household
Firearm
Ownership
Suicide Attempt
Rate
Household Firearm
Ownership
Suicide Attempt
Rate
Household Firearm
Ownership
Suicide Attempt
Rate
Correlation
Coefficient
P
Value
Correlation
Coefficient
P
Value
Regression
Coefficient 95% CI Regression
Coefficient 95% CI
Regression
Coefficient
Weighted by
Population
95% CI
Regression
Coefficient
Weighted by
Population
95% CI
Firearm 0.82 0.001 0.04 0.79 0.22 0.18, 0.27 0.33 2.37, 2.06 0.22 0.17, 0.26 0.56 2.66, 2.18
Nonfirearm 0.13 0.38 0.08 0.55 0.02 0.05, 0.02 0.63 1.52, 2.14 0.02 0.05, 0.02 1.14 1.37, 2.54
Overall 0.65 0.001 0.02 0.88 0.21 0.14, 0.28 0.30 3.40, 3.70 0.20 0.13, 0.26 0.58 3.49, 4.15
Abbreviation: CI, confidence interval.
a
Household firearm ownership prevalence ranges from 10% to 66% (standard deviation, 14%).
b
Suicide attempt rates range from 0.1% to 1.5% (standard deviation, 0.5%). Suicide attempt rates are not significantly associated with household firearm prevalence.
c
Suicide mortality rates vary as follows: among adults, 8.6%28.9%; firearm suicides, 2.0%20.2%; and nonfirearm suicides, 4.9%12.8%.
d
Models are simultaneously adjusted for household firearm ownership and suicide attempt rates.
Firearms and Suicide 949
Am J Epidemiol. 2013;178(6):946955
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
Table 2. Associations Among State-Level Measures of Household Firearm Ownership Prevalence
a
(2004), Suicide Attempt Rates
b
(2008
2009), and Suicide Mortality Rates
c
(20082009) in the United States by Method of Suicide and Sex and Age Group
Covariates by
Subgroup Analysis
Firearm Suicide Nonfirearm Suicide Overall Suicide
Regression
Coefficient
d
95% CI Regression
Coefficient
d
95% CI Regression
Coefficient
d
95% CI
Stratified analyses of
20082009 suicide rates
Males
Household firearm
ownership
0.38 0.31, 0.45 0.04 0.08, 0.01 0.35 0.25, 0.45
Suicide attempt rate per
100 population
0.25 2.92, 2.34 0.79 1.32, 2.00 0.54 3.60, 3.63
Females
Household firearm
ownership
0.06 0.04, 0.08 0.00 0.03, 0.03 0.06 0.03, 0.10
Suicide attempt rate per
100 population
0.07 0.65, 0.75 0.29 0.97, 1.30 0.37 1.31, 1.71
Aged 1829 years
Household firearm
ownership
0.23 0.18, 0.29 0.06
e
0.01, 0.11
e
0.29 0.21, 0.38
Suicide attempt rate per
100 population
0.47 1.23, 0.87 0.21 0.93, 1.08 0.25 1.84, 1.66
Aged 30 years
Household firearm
ownership
0.21 0.15, 0.27 0.05 0.09, 0.00 0.16 0.08, 0.25
Suicide attempt rate per
100 population
0.95 2.63, 2.07 0.21 1.78, 1.88 0.74 3.86, 3.50
Weighted stratified analyses of
20082009 suicide rates
Males
Household firearm
ownership
0.38 0.30, 0.44 0.04 0.08, 0.00 0.33 0.23, 0.43
Suicide attempt rate per
100 population
1.25 3.68, 2.89 1.17 1.40, 2.28 0.08 4.45, 4.46
Females
Household firearm
ownership
0.06 0.05, 0.08 0.00 0.03, 0.03 0.07 0.03, 0.10
Suicide attempt rate per
100 population
0.01 0.64, 0.67 0.22 0.94, 1.24 0.21 1.23, 1.60
Aged 1829 years
Household firearm
ownership
0.20 0.17, 0.24 0.04 0.00, 0.07 0.24 0.18, 0.30
Suicide attempt rate per
100 population
0.29 0.76, 0.94 0.85 0.52, 1.12 1.14 1.08, 1.83
Aged 30 years
Household firearm
ownership
0.20 0.15, 0.26 0.04 0.08, 0.00 0.17 0.08, 0.26
Suicide attempt rate per
100 population
1.59 3.22, 2.27 0.10 2.00, 1.97 1.68 4.67, 3.66
Abbreviation: CI, confidence interval.
a
Household firearm ownership prevalence ranges from 10% to 66% (standard deviation, 14%).
b
Suicide attempt rates range from 0.1% to 1.5% (standard deviation, 0.5%). Suicide attempt rates are not significantly associated with household
firearm prevalence.
c
Suicide rates vary as follows: among adults, 8.6%28.9%; firearm suicides, 2.0%20.2%; and nonfirearm suicides, 4.9%12.8%.
d
Models are simultaneously adjusted for household firearm ownership and suicide attempt rates.
e
After exclusion of the South Dakota outlier, the regression coefficient is 0.04 (95% CI: 0.01, 0.08).
950 Miller et al.
Am J Epidemiol. 2013;178(6):946955
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
suicide in the highgun ownership states compared with the
lowgun ownership states (6,038) (Table 3). This difference in
total suicides over a 2-year period is almost entirely attributable
to differences in rearm suicides (7,275 vs. 1,697), with vir-
tually no difference in the number of nonrearm suicides
(4,153 vs. 4,341).
Figure 1illustrates the strong association between rates of
household rearm ownership and mortality from overall sui-
cide (Figure 1A) and suicide involving rearms (Figure 1B)
and the weak association between rates of rearm ownership
and suicide involving methods other than rearms (Figure 1C).
In addition, Figure 1illustrates that suicide attempt rates have
little inuence on the relationship between rearm ownership
rates and mortality from suicide overall and from suicide by
rearms and correlate weakly with suicide by methods other
than rearms. For example, adjustment for suicide attempt
rates hardly moves the cross-hatches off the regression line
linking rearm ownership and rearm suicide rates (or off the
regression line linking rearm ownership to overall suicide
rates), providing a visual representation of how little the observed
association between suicide mortality and rearm ownership
depends on confounding by suicide attempt rates. These
visual renderings directly mirror results from linear regression
analyses.
DISCUSSION
As in previous empirical work from individual-level (7
16,21) and ecological studies (26), we found that higher
rates of rearm ownership are associated with higher rates of
overall suicide and rearm suicide, but not with nonrearm
suicide. Our nding that the rearm-suicide association per-
sists unabated after controlling for suicide attempt rates is
consistent with previous ecological work that controlled for
aggregate-level measures associated with suicidality, including
rates of major depression, serious suicidal thoughts, serious
mental illness, alcohol and drug dependence and abuse, urban-
ization, poverty, and unemployment (3,6,32). Moreover,
our nding that suicide attempt rates do not covary with either
rearm ownership or with rates of suicide suggests that, although
states with higher rates of rearm ownership may differ from
states with lower rates of rearm ownership, these differences
do not appear to play an important role in determining the fre-
quency with which people engage in suicidal behavior.
In the United States, where rearms are the method used
in more than 50% of all suicides and where roughly 1 in 3
homes contains rearms, even small relative declines in the
use of rearms in suicide acts could result in large reductions
in the number of suicides, depending on what, if any, method
would be substituted for rearms. Consider, for example, the
fact that more than 90% of all suicidal acts with rearms are
fatal, but suicidal acts with rearms constitute only 5% of all
deliberate self-harm episodes. In contrast, fewer than 3% of
all suicidal acts with drugs or cutting are fatal but, as a group,
such acts constitute approximately 90% of all attempts (33,
34). If even 1 in 10 of the approximately 22,000 persons who
attempted suicide with rearms in 2010 (the 19,932 who
died and the approximately 2,000 who survived) substituted
drugs or cutting, there would have been approximately 1,900
fewer suicide deaths. The potential for substantial reduction
in suicide rates is apparent in our comparison of suicides in
highversus lowgun ownership states, where suicide attempt
rates are similar, but the rate of suicide is twice as high in high
gun ownership states (with differences in mortality attributable
Table 3. Suicides and Suicide Attempts in US States with the Highest and Lowest Gun Ownership Levels, 20082009
Population Group by
State Gun Ownership
Level
Person-Years
No. of
Firearm
Suicides
No. of
Nonfirearm
Suicides
Total
No. of
Suicides
Population
With Suicidal
Acts,
e
%
95% CI
Highgun ownership states
a,b
All adults 62,383,037 7,275 4,153 11,428 0.41 0.18, 0.63
Adult men 30,273,657 6,263 2,905 9,168 0.38 0.16, 0.60
Adult women 32,109,380 1,012 1,248 2,260 0.44 0.17, 0.71
Adults aged 1829 years 13,829,694 1,303 960 2,263 1.04 0.40, 1.67
Adults aged 30 years 48,553,343 5,972 3,193 9,165 0.24 0.09, 0.38
Lowgun ownership states
c,d
All adults 62,447,876 1,697 4,341 6,038 0.49 0.00, 0.98
Adult men 29,810,942 1,572 3,207 4,779 0.38 0.04, 0.79
Adult women 32,636,934 125 1,134 1,259 0.60 0.01, 1.21
Adults aged 1829 years 13,335,648 219 778 997 0.97 0.01, 1.94
Adults aged 30 years 49,112,228 1,478 3,563 5,041 0.26 0.06, 0.58
Abbreviation: CI, confidence interval.
a
Highgun ownership states are Alabama, Alaska, Arkansas, Idaho, Iowa, Kentucky, Louisiana, Mississippi, Montana, Nebraska, North Dakota,
Oklahoma,South Dakota, Tennessee, West Virginia, and Wyoming.
b
In highgun ownership states, 51% of adults live in households with firearms.
c
Lowgun ownership states are Connecticut, Hawaii, Massachusetts, New Jersey, New York, and Rhode Island.
d
In lowgun ownership states, 15% of adults live in households with firearms.
e
The percent of the population that engaged in fatal and nonfatal suicidal acts over the past year.
Firearms and Suicide 951
Am J Epidemiol. 2013;178(6):946955
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
entirely to differences in suicide by rearms), with a net excess
of approximately 6,000 suicides in highgun ownership states
over a 2-year period.
Our study should be considered in light of several potential
limitations. First, our measure of rearm availability is house-
hold rearm ownership. This is a reasonable measure of expo-
sure because most rearm suicides involve rearms from the
victimshomes (15), but this measure does not provide poten-
tially important information about many characteristics of re-
arm availability that may affect risk, such as how rearms are
stored. Second, our measure of suicide attempt rates is based
on survey responses, andwe were unable to control for the seri-
ousness or persistence of the suicidal intent that accompa-
nied the reported events. On the other hand, there is no a priori
reason to expect that the suicidal intent among attempters in
highgun ownership states would be different (higher) than
the intent among attempters in lowgun ownership states.
Consistent with this expectation, prior work has failed to nd
higher rates of mental illness, substance abuse or dependence,
or suicidal thoughts or attempts among people living in homes
with rearms compared with those living in homes without
rearms (2225). Third, rearm prevalence data in primary
analyses come from the 2004 BRFSS (the latest year for which
nationally representative state-level data are available), whereas
mortality and suicide attempt data come from 20082009. The
effect of this temporal discrepancy on our results is likely to
be small because guns are highly durable and, as has been
observed previously, the cross-sectional pattern of household
rearm ownership tends to be remarkably constant over time
(35). Analyses that use mortality data from 20002004 and re-
arm ownership data from 2002 or 2004, for example, produce
ndings identical to the second decimal place (and substan-
tively indistinguishable from those reported by using mortality
data from 20082009 and rearm ownership data from 2004).
Fourth, our study used aggregate data for ourexposures and out-
comes of interest; as is always the case with analyses based on
aggregate data, drawing causal inferences about individual risk
factors can be problematic (36). However, our key ndinga
strong association between household rearm prevalence and
suicide by rearms (but not by other methods)is likely to
reect associations observable at the individual level because
ndings from individual-level studies (15) indicate that the
majority of suicides by rearms occur in the decedentshomes
and involve rearms owned by the victims or other members
of the households.
Despite these limitations, our results support the hypothe-
sis established in prior individual-level work (716,21) that
the availability of lethal means is associated with risk of death
by suicide above and beyond the baseline risk of suicidal behav-
ior. Our study suggests that this additional risk is large, operates
across sex and age groups, and plausibly accounts for thou-
sands of deaths every year.
ACKNOWLEDGMENTS
Author afliations: Department of Health Policy and Man-
agement, Harvard School of Public Health, Boston, Massa-
chusetts (Matthew Miller, Deborah Azrael, Catherine Barber);
Harvard Injury Control Research Center, Harvard School of
Public Health, Boston, Massachusetts, (Matthew Miller,
Deborah Azrael, Catherine Barber); and the Division of Epide-
miology, Department of Genes and Environment, Norwegian
Institute of Public Health, Oslo, Norway (Richard A. White).
This work was funded by grants from the Joyce Founda-
tion.
The views expressed in this paper are those of the authors
and not necessarily those of any funding body or others whose
support is acknowledged. The funders had no role in study
design, data collection and analysis, decision to publish, or
preparation of the manuscript.
Conict of interest: none declared.
REFERENCES
1. Centers for Disease Control and Prevention. Web-based injury
statistics query and reporting qystem (WISQARS). Atlanta,
Georgia: Centers for Disease Control and Prevention, National
Center for Injury Prevention; 2005. http://www.cdc.gov/ncipc/
wisqars. (Accessed December 10, 2012).
2. Miller M, Azrael D, Barber C. Suicide mortality in the United
States: the importance of attending to method in understanding
population-level disparities in the burden of suicide. Annu Rev
Public Health. 2012;33(1):393408.
3. Miller M, Lippmann SJ, Azrael D, et al. Household rearm
ownership and rates of suicide across the 50 United States.
J Trauma. 2007;62(4):10291034.
4. Miller M, Azrael D, Hemenway D. Firearm availability and
suicide, homicide, and unintentional rearm deaths among
women. J Urban Health. 2002;79(1):2638.
5. Miller M, Azrael D, Hemenway D. Household rearm
ownership and suicide rates in the United States.
Epidemiology. 2002;13(5):517524.
6. Miller M, Hemenway D, Azrael D. Firearms and suicide in the
northeast. J Trauma. 2004;57(3):626632.
7. Bailey JE, Kellermann AL, Somes GW, et al. Risk factors for
violent death of women in the home. Arch Intern Med.
1997;157(7):777782.
8. Brent DA, Perper J, Moritz G, et al. Suicide in adolescents
with no apparent psychopathology. J Am Acad Child Adolesc
Psychiatry. 1993;32(3):494500.
9. Brent DA, Perper JA, Allman CJ, et al. The presence and
accessibility of rearms in the homes of adolescent suicides.
A case-control study. JAMA. 1991;266(21):29892995.
10. Brent DA, Perper JA, Goldstein CE, et al. Risk factors for
adolescent suicide. A comparison of adolescent suicide
victims with suicidal inpatients. Arch Gen Psychiatry. 1988;
45(6):581588.
11. Brent DA, Perper JA, Moritz G, et al. Firearms and adolescent
suicide. A community case-control study. Am J Dis Child.
1993;147(10):10661071.
12. Brent DA, Perper JA, Moritz G, et al. Suicide in affectively
ill adolescents: a case-control study. J Affect Disord. 1994;
31(3):193202.
13. Conwell Y, Duberstein PR, Connor K, et al. Access to rearms
and risk for suicide in middle-aged and older adults. Am
J Geriatr Psychiatry. 2002;10(4):407416.
14. Cummings P, Koepsell TD, Grossman DC, et al. The
association between the purchase of a handgun and
homicide or suicide. Am J Public Health. 1997;87(6):
974978.
952 Miller et al.
Am J Epidemiol. 2013;178(6):946955
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
15. Kellermann AL, Rivara FP, Somes G, et al. Suicide in the
home in relation to gun ownership. N Engl J Med. 1992;
327(7):467472.
16. Wiebe DJ. Homicide and suicide risks associated with rearms
in the home: a national case-control study. Ann Emerg Med.
2003;41(6):771782.
17. Shah S, Hoffman RE, Wake L, et al. Adolescent suicide and
household access to rearms in Colorado: results of a
case-control study. J Adolesc Health. 2000;26(3):157163.
18. Dahlberg LL, Ikeda RM, Kresnow MJ. Guns in the home and
risk of a violent death in the home: ndings from a national
study. Am J Epidemiol. 2004;160(10):929936.
19. Kung HC, Pearson JL, Liu X. Risk factors for male and female
suicide decedents ages 1564 in the United States. Results
from the 1993 National Mortality Followback Survey. Soc
Psychiatry Psychiatr Epidemiol. 2003;38(8):419426.
20. Kung HC, Pearson JL, Wei R. Substance use, rearm
availability, depressive symptoms, and mental health service
utilization among white and African American suicide decedents
aged 15 to 64 years. Ann Epidemiol. 2005;15(8):614621.
21. Wintemute GJ, Parham CA, Beaumont JJ, et al. Mortality
among recent purchasers of handguns. N Engl J Med.
1999;341(21):15831589.
22. Ilgen MA, Zivin K, McCammon RJ, et al. Mental illness,
previous suicidality, and access to guns in the United States.
Psychiatr Serv. 2008;59(2):198200.
23. Miller M, Barber C, Azrael D, et al. Recent psychopathology,
suicidal thoughts and suicide attempts in households with and
without rearms: ndings from the National Comorbidity
Study Replication. Inj Prev. 2009;15(3):183187.
24. Sorenson SB, Vittes KA. Mental health and rearms in
community-based surveys: implications for suicide prevention.
Eval Rev. 2008;32(3):239256.
25. Betz ME, Barber C, Miller M. Suicidal behavior and rearm
access: results from the Second Injury Control and Risk
Survey. Suicide Life Threat Behav;41(4):384391.
26. National Research Council. Firearms and Violence: A Critical
Review. Washington, DC: The National Academies Press; 2005.
27. Centers for Disease Control and Prevention. Behavioral risk
factor surveillance system, 2004 survey data. Atlanta, Georgia:
US Department of Health and Human Services; 2005.
http://www.cdc.gov/brfss. (Accessed December 12, 2012).
28. Centers for Disease Control and Prevention. Behavioral risk
factor surveillance system operational and users guide,
version 3.0. Atlanta, Georgia: US Department of Health and
Human Services; 2005. http://www.cdc.gov/brfss/pdf/
userguide.pdf. (Accessed November 11, 2012).
29. Mokdad AH, Stroup DF, Giles WH. Public health surveillance
for behavioral risk factors in a changing environment:
recommendations from the Behavioral Risk Factor
Surveillance Team. MMWR Recomm Rep. 2003;52(RR09):
112.
30. Denny CH. The Behavioral Risk Factor Surveillance
System. In: Blumenthal DS, DiClemente RJ, eds. Community-
Based Health Research: Issues and Methods. New York,
New York: Springer Publishing Company, Inc; 2004:
115131.
31. Crosby AE, Han B, Ortega LAG, et al. Suicidal thoughts
and behaviors among adults aged 18 yearsUnited States,
20082009. MMWR Surveill Summ. 2011;60(13):
122.
32. Hemenway D, Miller M. Association of rates of household
handgun ownership, lifetime major depression, and serious
suicidal thoughts with rates of suicide across US census
regions. Inj Prev. 2002;8(4):313316.
33. Miller M, Azrael D, Hemenway D. The epidemiology of case
fatality rates for suicide in the Northeast. Ann Emerg Med.
2004;43(6):723730.
34. Spicer RS, Miller TR. Suicide acts in 8 states: incidence and
case fatality rates by demographics and method. Am J Public
Health. 2000;90(12):18851891.
35. Azrael D, Cook PJ, Miller M. State and local prevalence of
rearms ownership: measurement, structure, and trends.
J Quant Criminol. 2004;20:4362.
36. Piantadosi S. Invited commentary: ecologic biases. Am
J Epidemiol. 1994;139(8):761764.
(Appendix follows)
Firearms and Suicide 953
Am J Epidemiol. 2013;178(6):946955
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
Appendix Table 1. Data on Suicide by Method in the United States (20082009), Suicide Attempts (20082009),
and Firearm Ownership (2004) by State
State
No. of
Suicides
per 100,000
Population
No. of Firearm
Suicides
per 100,000
Population
No. of Nonfirearm
Suicides
per 100,000
Population
Adults in
Households
With Firearms, %
Suicide
Attempts per
100 Population
Alabama 17.3 12.3 5.0 52 0.22
Alaska 28.8 18.4 10.4 60 0.23
Arizona 21.1 12.0 9.1 32 0.62
Arkansas 19.4 12.6 6.9 59 0.92
California 13.5 5.4 8.2 20 0.41
Colorado 22.6 11.1 11.6 35 0.42
Connecticut 11.3 3.7 7.6 18 1.01
Delaware 15.6 5.7 9.9 26 0.12
Florida 18.9 9.7 9.2 25 0.52
Georgia 14.5 9.4 5.1 40 0.11
Hawaii 14.5 3.1 11.4 10 0.21
Idaho 23.8 13.8 10.0 56 0.62
Illinois 11.9 4.2 7.7 21 0.51
Indiana 16.4 9.2 7.2 38 0.42
Iowa 15.7 7.2 8.5 46 0.32
Kansas 16.7 9.1 7.6 43 0.52
Kentucky 17.8 11.9 5.9 48 0.22
Louisiana 14.8 9.9 4.9 45 0.41
Maine 17.7 9.7 8.0 40 0.82
Maryland 11.8 5.8 6.0 22 0.31
Massachusetts 10.0 2.0 8.0 11 0.21
Michigan 15.1 7.4 7.7 41 0.81
Minnesota 14.3 7.0 7.3 41 0.81
Mississippi 17.5 12.3 5.1 55 0.42
Missouri 17.6 9.7 7.9 44 0.32
Montana 26.9 17.3 9.7 63 0.33
Nebraska 12.8 6.8 6.0 45 0.51
Nevada 25.4 14.5 11.0 34 0.53
New Hampshire 16.4 8.1 8.4 31 0.32
New Jersey 8.6 2.6 6.0 11 0.61
New Mexico 25.0 12.4 12.6 40 0.73
New York 9.2 2.8 6.4 19 0.41
North Carolina 16.0 9.3 6.7 39 0.52
North Dakota 16.5 10.0 6.4 56 0.32
Ohio 14.1 7.1 7.0 34 0.71
Oklahoma 19.9 12.4 7.5 46 0.42
Oregon 20.3 11.2 9.1 40 0.42
Pennsylvania 15.7 8.0 7.7 38 0.32
Rhode Island 13.3 3.7 9.6 12 1.51
South Carolina 16.6 10.2 6.4 43 0.42
South Dakota 18.9 9.9 9.1 60 0.42
Tennessee 19.6 12.2 7.4 47 0.32
Texas 14.6 8.5 6.1 37 0.61
Utah 21.9 10.9 11.0 45 0.52
Table continues
954 Miller et al.
Am J Epidemiol. 2013;178(6):946955
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
Appendix Table 1. Continued
State
No. of
Suicides
per 100,000
Population
No. of Firearm
Suicides
per 100,000
Population
No. of Nonfirearm
Suicides
per 100,000
Population
Adults in
Households
With Firearms, %
Suicide
Attempts per
100 Population
Vermont 17.9 10.0 7.8 44 0.52
Virginia 15.4 8.5 6.9 37 0.32
Washington 17.5 8.8 8.7 34 0.72
West Virginia 17.4 11.8 5.6 58 0.72
Wisconsin 16.5 7.8 8.7 43 0.52
Wyoming 26.9 19.7 7.3 66 0.53
Firearms and Suicide 955
Am J Epidemiol. 2013;178(6):946955
by guest on July 25, 2016http://aje.oxfordjournals.org/Downloaded from
... When state-level ecological studies use a validated measure of household gun ownership, they virtually always find a strong relationship between gun ownership levels and total suicide rates because of the relationship between gun ownership and rates of firearm suicide [21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36]. Among the many variables controlled for in one of more of these ecologic studies are measures of levels of mental distress, mental illness, antidepressant prescriptions, alcohol consumption, drug and alcohol dependence, suicidal planning, and suicide attempts, as well as median income, poverty, income inequality, unemployment, urbanization, education, divorce, religion, religious adherence, foreign born, violent crime, property crime, incarceration, region, and gun laws. ...
... This exploratory study, conducted in 1987, had no control variables and used a measure of gun ownership levels which has been subsequently shown to be a poor proxy [43]. Kleck's review also omitted at least seven state-level analyses, all of which found a strong, significant association of guns ownership on total suicide rates [26,27,28,29,30,32,34]. Since the publication of Kleck's paper, two additional state-level ecological articles [35,36] also found a significant association between gun levels and overall suicide rates. ...
Article
Full-text available
Various problematic statistical approaches can be used in regression analyses to help find no significant relationship between explanatory variables and response variables—“to find nothing.” In an earlier paper, I provided examples of finding nothing from firearm studies, focusing on the lack of statistical power. In this Viewpoint, I offer three examples of “finding nothing” from firearms research and focus on a single hypothesis—that household gun ownership levels affect suicide rates, examining one type of evidence—cross-sectional ecological studies. I discuss studies examining variations in suicide rates across US states, US cities, and nations, highlighting the work of the one firearm researcher who continually “finds nothing.”
... Although the primary limitation of this study is its ecologic nature, case control and cohort studies support firearm access per se as a causal factor of firearm mortality and not mental health per se. In the U.S., higher rates of firearm ownership at the state level have been shown to be strongly associated with higher rates of firearm suicide but not with non-firearm suicide or gun ownership level [39]. The authors concluded that firearm ownership rates independent of underlying rates of suicidal behavior largely determine variations in suicide mortality across the 50 states [39]. ...
... In the U.S., higher rates of firearm ownership at the state level have been shown to be strongly associated with higher rates of firearm suicide but not with non-firearm suicide or gun ownership level [39]. The authors concluded that firearm ownership rates independent of underlying rates of suicidal behavior largely determine variations in suicide mortality across the 50 states [39]. In the U.S., a nationally representative study of 10,123 13-18 year-olds estimated that their risk of suicide was increased 3-4 times if they had lived in homes with a firearm compared with if they had not [40]. ...
Article
Full-text available
Background Annual global data on mental disorders prevalence and firearm death rates for 2000–2019, enables the U.S. to be compared with comparable counties for these metrics. Methods The Institute for Health Metrics and Evaluation (IHME) Global Health Burden data were used to compare the prevalence of mental disorders with overall, homicide and suicide firearm death rates including homicides and suicides, in high sociodemographic (SDI) countries. Results Overall and in none of the nine major categories of mental disorders did the U.S. have a statistically-significant higher rate than any of 40 other high SDI countries during 2019, the last year of available data. During the same year, the U.S. had a statistically-significant higher rate of all deaths, homicides, and suicides by firearm (all p<<0.001) than all other 40 high SDI countries. Suicides accounted for most of the firearm death rate differences between the U.S. and other high SDI countries, and yet the prevalence of mental health disorders associated with suicide were not significantly difference between the U.S. and other high SDI countries. Conclusion Mental disorder prevalence in the U.S. is similar in all major categories to its 40 comparable sociodemographic countries, including mental health disorders primarily associated with suicide. It cannot therefore explain the country’s strikingly higher firearm death rate, including suicide. Reducing firearm prevalence, which is correlated with the country’s firearm death rate, is a logical solution that has been applied by other countries.
Article
Full-text available
Background Firearms are the primary method by which US military personnel die by suicide, and those at highest risk tend to store firearms unsafely. Promoting secure firearm storage practices is a major component of the Department of Defense’s suicide prevention strategy, but perceptions about firearms being associated with suicide risk may impact such efforts. Purpose This study examined perceptions that (1) firearm ownership and (2) storage practices are associated with suicide risk and whether key sociopsychological factors (e.g., entrapment, threat perceptions, honor ideology) were associated with these beliefs in a sample of Active Duty (AD) enlisted Army personnel. We then examined if associations varied as a function of firearm ownership or a lifetime history of suicidal thoughts and/or behaviors (STBs). Methods Survey data about sociopsychological factors and ownership-suicide risk beliefs and storage-suicide risk beliefs were collected from 399 AD Army personnel. Multiple regression and multigroup path analyses were used. Results Greater intolerance of uncertainty and entrapment, and weaker honor ideology, were associated with greater ownership-suicide risk beliefs, whereas being a parent of a minor child was linked with weaker ownership-suicide risk beliefs. None of the variables examined were associated with storage-suicide risk beliefs. Participants with a lifetime history of STBs who had higher threat perceptions endorsed weaker ownership-suicide risk beliefs. Conclusions AD Army personnel may tend to believe that firearm ownership and storage practices are largely unrelated to suicide risk. More tailored messaging and suicide-gun violence prevention efforts are likely needed. Findings have important implications for military suicide prevention efforts.
Article
Description: The U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DOD) updated the 2019 joint clinical practice guideline (CPG) for assessing and managing patients who are at risk for suicide. This synopsis provides primary care physicians with a summary of the updated 2024 recommendations regarding evaluation and management of military members and veterans at risk for suicide. Methods: In 2023, the VA/DOD Evidence-Based Practice Work Group convened to develop a joint VA/DOD guideline, including clinical stakeholders, which conformed to the National Academy of Medicine's tenets for trustworthy CPGs. The Work Group drafted 12 key questions, reviewed systematically identified literature (1 April 2018 to 15 March 2023), evaluated the evidence, created algorithms, and advanced 24 recommendations in accordance with the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. Recommendations: Despite insufficient evidence to recommend for or against suicide risk screening programs as a means for reducing suicide attempts or deaths, the VA/DOD Work Group identified validated tools that could be used to identify populations at higher risk for suicide-related behaviors. Cognitive behavioral therapy was also recommended for reducing the risk for suicide attempts and decreasing suicidal ideation among those with a history of suicidal behavior or a history of self-directed violence. Periodic communications after previous suicide attempts were also recommended as a prevention strategy. Pharmacologic treatments, such as clozapine or ketamine infusion, also have a role in the management of suicide risk among those with schizophrenia or major depressive disorder, respectively.
Article
Introduction This study aimed to adapt and expand an evidence‐based lethal means counseling intervention for peer‐delivery among firearm owning Veterans. We further sought to assess Veteran interventionists' fidelity to motivational interviewing (MI) in the context of the adapted intervention. Methods An iterative expert panel comprised of experts in suicide prevention, lethal means counseling, MI, and Veteran peer engagement ( N = 9) informed intervention adaptation. Experts rated the appropriateness of the adapted intervention, named Peer Engagement and Exploration of Responsibility and Safety (PEERS), and associated interventionist training plan across six criteria. Veteran interventionists ( N = 3) were trained to deliver PEERS and their fidelity to MI in the context of PEERS was evaluated. Results Expert panelists' average rating was 7.6 (out of 9). Ratings across all criteria (e.g., quality of the training plan; perceived ability of interventionists to engage in the intervention) were high. Interventionists' composite MI fidelity scores suggested most were client‐centered, but not MI‐competent in their delivery. Conclusion Findings suggest that PEERS is an appropriate lethal means counseling intervention for firearm owning Veterans that can be somewhat feasibly delivered by Veteran interventionists. This intervention could help expand the reach and effectiveness of lethal means counseling.
Article
Full-text available
Objectives: To determine risk factors for violent death of women in the home, and particularly, to assess the strength and direction of any association between domestic violence or keeping firearms and homicide or suicide in the home.Methods: Subgroup analysis of a large population-based case-control study database was performed, defining cases as all homicides and suicides occurring in the homes of female victims in 3 metropolitan counties: Shelby County, Tennessee; King County, Washington; and Cuyahoga County, Ohio. Randomly selected control subjects were matched to the victims by neighborhood, sex, race, and age range. Exposures to potential risk factors were ascertained by interviewing a proxy for the victim 3 to 6 weeks after the violent death occurred. These answers were compared with those obtained from controls using matched-pairs methods.Results: All cases (n=266) were identified in the 3-county area, including 143 homicides and 123 suicides, during a 5-year period. Matching controls (n=266) were also identified. Firearms were involved in 46% of the homicides and 42% of the suicides. Independent risk factors for suicide in the home included a history of mental illness (odds ratio [OR], 258.8; 95% confidence interval [CI], 18.2-3679.8), living alone (OR, 13.4; 95% CI, 2.0-87.8), and having 1 or more guns in the home (OR, 4.6; 95% CI, 1.2-17.5). Independent risk factors for homicide included living alone (OR, 5.1; 95% CI, 2.0-13.2), illicit drug use by any member of the household (OR, 4.9; 95% CI, 1.3-15.9), prior domestic violence (OR, 4.0; 95% CI, 1.5-10.5), 1 or more guns in the home (OR, 3.4; 95% CI, 1.6- 7.1), and previous arrest of any member of the household (OR, 3.0; 95% CI, 1.3-6.6). The increased risk of homicide associated with domestic violence, firearms, or illicit drugs was attributable to the homicides at the hands of a spouse, intimate acquaintance, or close relative.Conclusions: Among women, mental illness and living alone increase the risk of suicide in the home, and household use of illicit drugs and prior domestic violence increase the risk of homicide. Instead of conferring protection, keeping a gun in the home is associated with increased risk of both suicide and homicide of women. Household use of illicit drugs, domestic violence, and readily available firearms place women at particularly high risk of homicide at the hands of a spouse, an intimate acquaintance, or a close relative. Many factors place women at increased risk of violent death in the home. Community- and clinic-based interventions should target those with identifiable risk factors.Arch Intern Med. 1997;157:777-782
Article
Full-text available
Suicidal thoughts and behaviors are important public health concerns in the United States. In 2008, a total of 36,035 persons died as a result of suicide, and approximately 666,000 persons visited hospital emergency departments for nonfatal, self-inflicted injuries. State-level data on suicide-related issues are needed to help establish program priorities and to evaluate the effectiveness of suicide prevention strategies. Public health surveillance with timely and consistent exchange of data between data collectors and prevention program implementers allows prevention program practitioners to implement effective prevention and control activities. January 1, 2008-December 31, 2009. The National Survey on Drug Use and Health (NSDUH) is a national- and state-level survey of a representative sample of the civilian, noninstitutionalized U.S. population aged ≥12 years. NSDUH collects data on health-risks related to the use of illicit drugs, alcohol, and tobacco; initiation of substance use; substance use disorders and treatment; health care; and mental health. This report summarizes data on responses to questions concerning suicidal thoughts and behaviors contained in the mental health section among sampled persons aged ≥18 years in all 50 states and the District of Columbia. This report analyzes data on the prevalence of suicidal thoughts, planning, and attempts by age, sex, race/ethnicity, and state from 92,264 respondents in the 2008 and 2009 NSDUH. Prevalence estimates of suicidal thoughts and behaviors varied by sociodemographic factors, region, and state. During 2008-2009, an estimated 8.3 million (annual average) adults aged ≥18 years in the United States (3.7% of the adult U.S. population) reported having suicidal thoughts in the past year. The prevalence of having suicidal thoughts ranged from 2.1% in Georgia to 6.8% in Utah. An estimated 2.2 million (annual average) adults in the United States (1.0% of the adult U.S. population) reported having made suicide plans in the past year. The prevalence of reports of suicide planning ranged from 0.1% in Georgia to 2.8% in Rhode Island. An estimated 1 million (annual average) adults in the United States (0.5% of the U.S. adult population) reported making a suicide attempt in the past year. The prevalence of reports of suicide attempts ranged from 0.1% in Delaware and Georgia to 1.5% in Rhode Island. The prevalence of suicidal thoughts, suicide planning, and suicide attempts was significantly higher among young adults aged 18-29 years than it was among adults aged ≥30 years. The prevalence of suicidal thoughts was significantly higher among females than it was among males, but there was no statistically significant difference for suicide planning or suicide attempts. The findings in this report indicate that substantial variations exist at the regional and state level in the prevalence of adults who had suicidal thoughts, made plans to attempt suicide, and attempted suicide in the past year. Geographic differences in prevalence might be attributable to selective migration, sociodemographic composition of the population, or the local social environment (e.g., social relationship indicators such as divorce rates or resources for access to health care). These findings emphasize the importance of continued surveillance to collect locally relevant data on which to base prevention and control activities. A better understanding of the patterns of the precursors to suicide is crucial to planning and evaluating a broad spectrum of suicide prevention efforts. These results can be used by state health departments and federal agencies to measure progress toward achieving national and state health objectives (e.g., those outlined in the National Strategy for Suicide Prevention). Continued surveillance is needed to design, implement, and evaluate public health policies and programs that can lead to a reduction in morbidity and mortality related to suicide-related thoughts and behaviors. Possible strategies to implement could include universal strategies (e.g., public education campaigns that focus on improving recognition of suicide risk) and indicated strategies (e.g., cognitive-behavioral therapy) that address the needs of persons exhibiting certain risk factors (e.g., persons who have made suicide attempts).
Article
Objective: This study examined the association between mental disorders, prior suicidality, and access to guns and gun safety in the U.S. population. Methods: Using data from adult participants (N=5,692) from the National Comorbidity Survey: Replication (NCS-R), this study examined relationships between mental disorders, past suicidality, and gun access and safety practices. Results: Individuals with lifetime mental disorders (N=3,528) were as likely as those without (N=2,034) to have access to a gun (34.1% versus 36.3%; odds ratio [OR]=.9, 95% confidence interval [CI]=.8-1.1), carry a gun (4.8% versus 5.0%; OR=1.0, CI=.7- 1.40), or store a gun in an unsafe manner (6.2% versus 7.3%; OR=.9, CI=.5-1.4). However, individuals with a prior suicide attempt were less likely than those without such an attempt to have access to a gun (23.8% versus 36.0%; OR=.6, CI=.5-.8). Conclusions: Given the previously established relationship between mental health risk factors and suicide, this study highlights the need to assess for gun access among high-risk individuals.
Article
Suicide rates are higher among those who own a handgun and among those who live in a household with a handgun. The present investigation examined the association between gun ownership and mental health, another risk factor for suicide. Data from the General Social Survey, a series of surveys of U.S. adults, were analyzed to compare general emotional and mental health, sadness and depression, functional mental health, and mental health help seeking among gun owners, persons who do not own their own gun but reside in a household with a gun, and those who do not own a gun. After taking into account a few basic demographic characteristics associated with both variables, there appears to be no association between mental health and gun ownership. Nor is there any association between mental health and living in a household with a firearm. Findings suggest that the high risk of suicide among those who own or live in a household with a gun is not related to poor mental health. Implications for prevention are discussed.
Article
• The characteristics of adolescent suicide victims (n = 27) were compared with those of a group at high risk for suicide, suicidal psychiatric inpatients (n = 56) who had either seriously considered (n = 18) or actually attempted (n = 38) suicide. The suicide victims and suicidal inpatients showed similarly high rates of affective disorder and family histories of affective disorder, antisocial disorder, and suicide, suggesting that among adolescents there is a continuum of suicidality from ideation to completion. However, four putative risk factors were more prevalent among the suicide victims: (1) diagnosis of bipolar disorder; (2) affective disorder with comorbidity; (3) lack of previous mental health treatment; and (4) availability of firearms in the homes, which taken together accurately classified 81.9% of cases. In addition, suicide completers showed higher suicidal intent than did suicide attempters. These findings suggest a profile of psychiatric patients at high risk for suicide, and the proper identification and treatment of such patients may prevent suicide in highrisk clinical populations.
Article
• Objective. —To assess the association between firearms in the home and adolescent suicide.Research Design. —Matched, case-control.Setting. —Population-based community sample.Subjects. —Sixty-seven adolescent suicide victims and a demographically matched group of 67 living community controls.Selection Procedure. —The series of adolescent suicide victims was consecutive, with an overall participation rate of 74% (67/91).Measurements and Results. —The presence, type (handgun vs long-gun), number, and method of storage (locked vs unlocked, loaded vs unloaded) of firearms in the home were compared between the suicide victims and controls. Even after adjusting for differences in rates of psychiatric disorders between suicide victims and controls, the association between suicide and both any gun (odds ratio [OR]=4.4, 95% confidence interval [Cl]=1.1 to 17.5) and handguns (OR=9.4,95% Cl=1.7 to 53.9) in the home were both highly significant. Long-guns in the home were associated with suicide only in rural areas, whereas handguns were more closely associated with suicide in urban areas. Handguns (OR=12.9, 95% Cl=1.5 to 110.9) and loaded guns (OR=32.3, 95% Cl=2.5 to 413.4) in the home were particularly significant risk factors for suicide in those with no apparent psychiatric disorder.Conclusions. —When pediatricians are faced with a suicidal adolescent, they should insist on the removal of firearms from the home. Pediatricians should also inform parents that the presence of firearms may be associated with adolescent suicide even in the absence of clear psychiatric illness.(AJDC. 1993;147;1066-1071)
Article
Objective. —The presence of guns in the home, the type of gun, and the method of storage were all hypothesized to be associated with risk for adolescent suicide.
Article
Sixty-three adolescent suicide victims with a history of affective illness were compared to 23 adolescent community controls with a lifetime history of affective illness, using a case-control design. Suicide victims were more likely to have had major depression, comorbid substance abuse, a past suicide attempt, family history of major depression, treatment with a tricyclic antidepressant, history of legal problems, and a handgun available in the home. There was a non-significant trend for bipolar depression to convey a higher risk for completed suicide than unipolar depression. Recommendations for the prevention of suicide among those with early onset affective illness are discussed in light of these findings.
Article
Suicide mortality varies widely across age, sex, race, and geography, far more than does mortality from the leading causes of natural death. Unlike the tight correlation between cancer mortality and the incidence of cancer, suicide mortality is only modestly correlated with the incidence of suicidal acts and other established risk factors for suicidal behavior, such as major psychiatric disorders. An implication of this modest correlation is that the proportion of all suicidal acts that prove fatal (the case fatality ratio) must account for a substantial portion of the (nonrandom) variation observed in suicide mortality. In the United States, the case fatality ratio is strongly related to the availability of household firearms. Findings from ecologic and individual-level studies conducted over the past two decades illustrate the importance of accounting for the availability of highly lethal suicide methods in efforts to understand (and ultimately reduce) disparities in suicide mortality across populations.