Abstract
Although the misuse of firearms is necessary to the occurrence of firearm violence, there are other contributing factors beyond simply firearms themselves that might also be modified to prevent firearm violence. Alcohol is one such key modifiable factor. To explore this, we undertook a 40-year (1975–2014) systematic literature review with meta-analysis. One large group of studies showed that over one third of firearm violence decedents had acutely consumed alcohol and over one fourth had heavily consumed alcohol prior to their deaths. Another large group of studies showed that alcohol was significantly associated with firearm use as a suicide means. Two controlled studies showed that gun injury after drinking, especially heavy drinking, was statistically significant among self-inflicted firearm injury victims. A small group of studies investigated the intersection of alcohol and firearms laws and alcohol outlets and firearm violence. One of these controlled studies found that off-premise outlets selling takeout alcohol were significantly associated with firearm assault. Additional controlled, population-level risk factor and intervention studies, including randomized trials of which only 1 was identified, are needed. Policies that rezone off-premise alcohol outlets, proscribe blood alcohol levels and enhance penalties for carrying or using firearms while intoxicated, and consider prior drunk driving convictions as a more precise criterion for disqualifying persons from the purchase or possession of firearms deserve further study.
Keywords: alcohol, firearm, gun ownership, gun possession, homicide, injury, suicide
INTRODUCTION
Strategies to prevent firearm violence that focus only on the firearms themselves, as a modifiable target for intervention, are often delayed because of political and implementation challenges (1, 2). Although the misuse of firearms is necessary to the occurrence of firearm violence, there also are other contributing but modifiable factors that might be more feasibly changed to prevent firearm violence (3, 4).
Alcohol is one such key modifiable factor that has been repeatedly connected to firearm violence. People may place themselves or others at risk of gun violence by inappropriately consuming alcohol in situations where firearms are present. People may also place themselves or others at risk of gun violence by entering environments where alcohol is being consumed and where guns are present (3, 4). Moreover, exposure to both inappropriate alcohol consumption and gun use may, at times, be unavoidable or unbeknownst to those at risk because of ambient structural or circumstantial conditions, such as addiction or poverty.
Despite these possibilities, it is also possible that alcohol may not be as strongly related to firearm violence as expected. In the United States, a majority of the population does not abstain from alcohol consumption and, by extension, there are a great many instances of drinking where no firearm violence occurs. According to the 2013 US National Survey on Drug Use and Health (NSDUH), around 71% of adults aged 18 years or older drank alcohol in the prior year and around 56% in the prior month (5). Also, although alcohol could be a relatively straightforward factor to modify compared with firearm use, doing so may only be complementary to more direct efforts focused on firearm use, and modifying alcohol misuse as a behavior also has its own implementation challenges. Even with significant investments in prevention and treatment efforts, a nontrivial number of people (7.2% of adults aged 18 years or older in the United States in 2012) continue to suffer from alcohol addictions or alcohol use disorders (6).
Alcohol consumption is thus best viewed as a contributing, although not necessary, factor in the occurrence of firearm violence. The scientific evidence base focused on alcohol and firearm violence has yet to be fully audited in disentangling and determining the strength of this connection, as well as the importance of alcohol, as a modifiable risk factor in the prevention of firearm misuse and injury. Because this scientific evidence base has not heretofore been assembled, changes to alcohol policies in order to prevent firearm violence have been very limited. Communities interested in pursuing alcohol-related prevention strategies to reduce firearm violence are left with little guidance in terms of which strategies might be best to implement. We thus undertook a systematic review and meta-analysis of the scientific literature in order to synthesize the existing evidence base on alcohol and firearm violence. We identified gaps in knowledge, sought to elucidate modifiable factors or public health interventions, and offer information of value to local communities in making the best use of limited resources in pursuing alcohol policies and prevention strategies with robust evidence behind them.
METHODS
A systematic literature review with meta-analysis investigating the relationship between alcohol and firearms was completed for the 40 years from 1975 through 2014. Although a larger scientific literature exists investigating the alcohol-violence connection and the alcohol-suicide connection, this review was restricted to the alcohol-firearm injury connection. In this regard, a subset of articles was identified that focused on the alcohol-firearms connection. The remaining larger balance of articles that were identified focused primarily on alcohol and violence or alcohol and suicide, but they were included only if they were part of the alcohol and firearms subset.
Three literature search engines were used: PubMed, Web of Science, and Scopus. Standard, reproducible Boolean search algorithms were submitted to each of these 3 literature search engines. In PubMed, article title, abstract, and keywords were searched by using the following Boolean algorithm: (“firearm” [MeSH Terms] OR “firearm” [All Fields] OR “gun” [All Fields]) AND (“ethanol” [MeSH Terms] OR “ethanol” [All Fields] OR “alcohol” [MeSH Terms] OR “alcohol” [All Fields] OR “alcohol outlet” [All Fields]), where MeSH is Medical Subject Heading. This initially produced 438 articles. In Web of Science, article title, abstract, and keywords were searched by using the following Boolean algorithm: (“firearm” OR “gun”) AND (“ethanol” OR “alcohol” OR “alcohol outlet”), initially producing 321 articles. In Scopus, the Boolean algorithm (“firearm” OR “gun”) AND (“ethanol” OR “alcohol” OR “alcohol outlet”) was used for article title, abstract, and keywords, initially producing 629 articles.
Among these 1,388 articles in total, non-human-based or forensic/other technical studies and non-English-written studies were excluded first. Then non-original research articles such as reviews, meta-analyses, and editorials (except those by Smith et al. (7) and Kuhns et al. (8)) were excluded. The articles that remained at this point were then reconciled for duplicates. Further exclusions were then applied: studies of violence, homicide, or suicide in general that did not specifically report data for firearm violence, firearm homicide, or firearm suicide; studies of substance use that did not specifically report alcohol use; studies that did not specify guns or firearms, but instead only broadly specified “weapons”; forensic science case-series prior to 1995 (these case-series had already been comprehensively reviewed and summarized in meta-analyses by Smith et al. (7) and Kuhns et al. (8) which were abstracted for their relevant data); smaller studies restricted to special populations (murder-suicides, schizophrenics, police officers, physicians, individuals in active war or conflict situations); and studies that did not address the relationship between firearms and alcohol. Four studies that had been cited as reporting a relationship between alcohol and firearms but that were not found as part of our search strategy were also found and included in our final analyses. These 4 studies were found in the reference lists of the articles identified in our search strategy, not by the search strategy itself. Figure 1 depicts the flowchart showing the inclusion and exclusion of our studies. The final yield of studies investigating the relationship between alcohol and firearms from all 3 search engines was 51 total articles (93 total individual articles when counting the meta-analyses by Smith et al. (7) and Kuhns et al. (8)).
Figure 1.
Selection process for research articles on alcohol use and firearm violence, 1975–2014.
These 51 articles were then separated and analyzed in multiple categories based on data source (countries, measure) and study population demographics (age, sex). Systematic reviews and meta-analytical summaries were reported in 4 categories: 1) alcohol use and firearm injury victimization, 2) alcohol use and firearm use, 3) alcohol sales outlets and firearm injury victimization, and 4) alcohol laws and firearm use in the United States.
Two types of summary estimates were calculated, where possible. The first type of summary estimate was overall prevalence estimates using study-population weighted means and weighted standard deviations. These overall prevalence estimates included tables reporting the prevalence of acute alcohol use among firearm injury deaths and the prevalence of firearm use among alcohol users. A second group of calculated summary estimates were overall summary odds ratios obtained by using the Stata 13 (StataCorp LP, College Station, Texas) command, metan. These overall odds ratios were weighted by using study population sizes. Overall summary odds ratios were calculated only for the relationship between any alcohol use and firearm possession and for the relationship between heavy alcohol use and firearm suicides. Heavy alcohol use was defined when named as such in a study (i.e., “heavy alcohol use”) or by blood alcohol concentration, “binge drinking,” “alcohol dependence,” or “alcohol problems.”
A third part of our analysis reviewed studies reporting relationships between proximity to alcohol outlets and firearm injury, but without meta-estimation given the limited number of data points. In addition, we also reported state laws restricting sales, possession, or use of firearms by alcohol users.
RESULTS
Alcohol use and firearm injury victimization
A prior meta-analysis of articles from 1975 to 1995 by Smith et al. (7) identified 18 articles that specifically addressed alcohol consumption and firearm injury. All these articles were decedent case-series drawn mostly from published coroner and medical examiner studies, as well as some hospital-based studies. One of the articles in this prior meta-analysis reported on unintentional firearm injury, 9 on firearm homicide, and 8 on firearm suicide. To these articles was added a list of 27 decedent case-series articles addressing alcohol consumption and firearm injury, published after 1995.
Table 1 lists 45 articles reporting prevalences of acute alcohol use among firearm injury decedents. Each article contains a case-series of firearm injury decedents and their levels of alcohol consumption estimated from blood specimens as blood-alcohol concentrations (in mg/dL). Blood-alcohol concentrations >0 mg/dL indicated “any alcohol use,” and blood-alcohol concentrations >80 mg/dL or comparable amount indicated “heavy alcohol use” (heavy alcohol use being a subset of any alcohol use).
Table 1.
Articles Reporting Prevalence of Acute Alcohol Use Among Firearm Injury Decedents
| First Author, Year (Reference No.) | Study Population | No. | Location | Data Source | Any Alcohol Use, % | Heavy Alcohol Use, % | Study Population-Weighted Mean (SD), % |
|---|---|---|---|---|---|---|---|
| Firearm Homicide | |||||||
| Smith, 1999 (7) | Decedents | 6,145 | United States | Meta-analysis | 38.9 | 30.6 | Any alcohol use = 37.2 (7.4), heavy alcohol use = 30.1 (4.4)a |
| Branas, 2009 (3) | Decedents | 126 | Philadelphia, Pennsylvania | 24.5 | 8.2 | ||
| Johnson, 2000 (46) | Decedents | 387 | Alaska | 14.3 | NA | ||
| Armour, 1996 (47) | Decedents | 103 | United Kingdom | 39.4 | NA | ||
| Andreuccetti, 2009 (48) | Decedents | 1,605 | Brazil | 40.1 | NA | ||
| Darke, 2008 (49) | Decedents | 128 | Australia | 37.5 | NA | ||
| Ehmke, 2014 (50) | Decedents | 1,455 | South Africa | 41.0 | NA | ||
| Fedakar, 2007 (51) | Decedents | 3,463 | Turkey | 8.1 | NA | ||
| Hougen, 2000 (52) | Decedents | 83 | Norway/Denmark | 25.3 | 12.0 | ||
| Moug, 2001 (53) | Decedents | 51 | United Kingdom | 64.0 | 44.0 | ||
| Rainio, 2005 (54) | Decedents | 348 | Finland | 50.0 | 30.6 | ||
| Rancic, 2013 (55) | Decedents | 120 | Serbia | 25.0 | NA | ||
| Firearm Suicide | |||||||
| Smith, 1999 (7) | Decedents | 601 | United States | Meta-analysis | 33.1 | 31.4 | Any alcohol use = 35.0 (1.0), heavy alcohol use = 25.2 (1.1)a |
| Branas, 2011 (4) | Decedents | 137 | Philadelphia, Pennsylvania | 31.0 | 19.9 | ||
| Conner, 2014 (56) | Decedents | 19,621 | United States | NVDRS | 35.0 | NA | |
| Johnson, 2000 (46) | Decedents | 387 | Alaska | 27.1 | NA | ||
| Kaplan, 2009 (57) | Decedents | 11,554 | United States | NVDRS | NA | 27.3 | |
| Kaplan, 2013 (58) | Decedents | 29,198 | United States | NVDRS | NA | 24.8 | |
| Shields, 2006 (59) | Decedents | 1,932 | Kentucky | 37.9 | NA | ||
| Kohlmeier, 2001 (60) | Decedents | 1,704 | Bexar, Texas | 31.9 | 25.5 | ||
| Giesbrecht, 2015 (18) | Decedents | 51,547 | United States | NVDRS | 35.1 | 24.8 | |
| Aşirdizer, 2010 (61) | Decedents | 73 | Turkey | 17.8 | NA | ||
| Blumenthal, 2007 (62) | Decedents | 406 | South Africa | 40.0 | 36.0 | ||
| Ehmke, 2014 (50) | Decedents | 1,455 | South Africa | 42.0 | NA | ||
| Fedakar, 2007 (51) | Decedents | 3,463 | Turkey | 3.7 | NA | ||
| Lester, 2012 (63) | Decedents | 787 | Australia | 43.6 | NA | ||
| Moug, 2001 (53) | Decedents | 17 | United Kingdom | 41.7 | 25.0 | ||
| Rainio, 2005 (54) | Decedents | 348 | Finland | 57.7 | 41.6 | ||
| Sutton, 2005 (64) | Decedents | 38 | United Kingdom | 42.1 | 26.3 | ||
| Schmeling, 2001 (65) | Decedents | 19 | Germany | 31.6 | NA | ||
| Firearm Accident | |||||||
| Smith, 1999 (7) | Decedents | 54 | United States | Meta-analysis | 48.7 | 20.5 | |
| Firearm Death (Homicide, Suicide, and Accident Combined) | |||||||
| Galea, 2002 (66) | Decedents | 11,133 | New York, New York | 26.9 | NA | ||
| Al Madni, 2008 (67) | Decedents | 64 | Saudi Arabia | 1.6 | NA | ||
| Myint, 2014 (68) | Decedents | 149 | Thailand | 31.1 | NA | ||
| Paniagua, 2005 (69) | Decedents | 789 | El Salvador | 22.0 | NA | ||
Abbreviations: NA, not available; NVDRS, National Violent Death Reporting System; SD, standard deviation.
a The population-weighted means are for all “Firearm Homicide” and “Firearm Suicide” studies, respectively, not just for the single paper of Smith (7).
Among the 45 studies included, 26 studies used US-based data, while the remaining 10 used non-US data. Given the heterogeneity between different national populations, only the prevalence of alcohol use among firearm injury deaths for the United States was summarized. A weighted mean of 37.2% of US firearm homicide decedents had acutely consumed any alcohol prior to their death (population-weighted standard deviation, 7.4%). A weighted mean of 30.1% of US firearm homicide decedents had acutely consumed a heavy amount of alcohol prior to their death (population-weighted standard deviation, 4.4%). A weighted mean of 35.0% of US firearm suicide decedents had acutely consumed any alcohol prior to their death (population-weighted standard deviation, 1.0%). A weighted mean of 25.2% of US firearm suicide decedents had acutely consumed a heavy amount of alcohol prior to their death (population-weighted standard deviation, 1.1%). Articles published after 1995 reported similar levels of alcohol involvement among firearm injury decedents as the prior 20-year meta-analysis by Smith et al. (7) and 1 other prior literature review (9), suggesting consistency of these percentages over time.
Two case-control studies, shown in Table 2, have begun to address the many analytical shortcomings emerging from the 45 prior case-series studies by calculating and reporting odds ratio estimates of the relationship between acute alcohol consumption and subsequent firearm injury victimization. Both case-control studies incorporate fatal and nonfatal case groups alongside population-based, community controls (3, 4). Alcohol consumption in both studies was measured by using blood specimens, police reports, and participant self-reports. The odds ratio of being a victim of gun injury after acute alcohol use appears to be most pronounced, and statistically significant, among self-inflicted firearm injury victims (including completed suicides).
Table 2.
Articles Reporting Odds Ratios Between Acute Alcohol Use and Firearm Injury
| First Author, Year (Reference No.) | Study Population | No. | Location | Data Source | Type of Alcohol Use |
Alcohol Use and Firearm Injury |
|
|---|---|---|---|---|---|---|---|
| Odds Ratio | 95% Confidence Interval | ||||||
| Firearm Assault | |||||||
| Branas, 2009 (3) | Adults | 1,361 | Philadelphia, Pennsylvania | Case-control study | Any alcohol use | 1.3 | 0.5, 3.3 |
| Branas, 2009 (3) | Adults | 1,361 | Philadelphia, Pennsylvania | Case-control study | Heavy alcohol use | 2.7 | 0.9, 7.9 |
| Firearm Homicide | |||||||
| Branas, 2009 (3) | Adults | 251 | Philadelphia, Pennsylvania | Case-control study | Any alcohol use | 0.3 | 0.1, 3.1 |
| Branas, 2009 (3) | Adults | 251 | Philadelphia, Pennsylvania | Case-control study | Heavy alcohol use | 6.2 | 0.4, 92.5 |
| Firearm Self-Inflicted Injury | |||||||
| Branas, 2011 (4) | Adults | 451 | Philadelphia, Pennsylvania | Case-control study | Any alcohol use | 4.2a | 2.3, 8.0 |
| Branas, 2011 (4) | Adults | 451 | Philadelphia, Pennsylvania | Case-control study | Heavy alcohol use | 77.1a | 8.8, 678.4 |
| Firearm Suicide | |||||||
| Branas, 2011 (4) | Adults | 411 | Philadelphia, Pennsylvania | Case-control study | Any alcohol use | 5.9a | 2.9, 12.1 |
| Branas, 2011 (4) | Adults | 411 | Philadelphia, Pennsylvania | Case-control study | Heavy alcohol use | 85.8a | 10.0, 732.3 |
a Statistically significant, P < 0.05.
Table 2 also indicates that these odds ratios differ somewhat according to alcohol consumption levels and type of shooting. Individuals who consumed any amount of alcohol experienced about the same odds ratios of being shot by others as nondrinkers. However, individuals who consumed any amount of alcohol were significantly, from 4 to 6 times, more likely to shoot themselves or to commit suicide with a gun than nondrinkers. The odds ratios for self-inflicted firearm injuries among heavy alcohol users were also noticeably large and statistically significant, being more than 14 times that of the odds ratios for any alcohol users.
Alcohol use and firearm use
The only randomized controlled trial found in our search was by Carr et al. (10), and it investigated alcohol use and the ability to use a firearm. Adult male participants who were nonhabitual drinkers with no professional firearms training were enrolled in this trial and randomly assigned to receive alcohol (titrated to 0.05 or 0.10 g/100 mL) or placebo alcohol. All participants were then subjected to 160 real-world, large screen video-immersion scenarios using a high-fidelity deadly force judgment and decision-making simulator with real, untethered firearms that had been retrofitted to fire “laser bullets” and simulate real firearm recoil and noise. These same simulators are used by many law enforcement and military agencies for training and testing. This study found that, after alcohol consumption, intoxicated subjects demonstrated slower reaction times in scenarios not requiring judgment (0.87 seconds for the first shot and 1.49 seconds for the first hit) and faster reaction times (5.22 seconds for the first shot and 4.41 seconds for the first hit) and less accuracy (−0.47%) in scenarios requiring complex decision making before deciding to use force. The study placebo alcohol group experienced modest reductions in reaction times and no decrease in accuracy.
Table 3 lists 8 articles representing 33 total studies (when adding in the 26 studies from Kuhns et al. (8)). These articles show the prevalence of alcohol use (both any alcohol use and heavy alcohol use) among firearm users (both firearm possession and firearm ownership). These studies represented a variety of countries and study populations prohibiting the calculation of a meaningful summary statistic. The prevalence of alcohol use among individuals who possessed firearms ranged from 1% among a cohort of hunters in Sweden to 60% in a group of adult women with a substance abuse history in the United States. In 2 studies, more than one third of adolescents and youth in possession of guns were also reportedly drinking alcohol or heavily drinking alcohol. By comparison, among adults who owned firearms, almost 60% consumed some amount of alcohol, and 20% consumed alcohol heavily. Only 3 articles (8, 11, 12) reported percent estimates of the consumption of alcohol at the time of firearm use, and these percentages ranged from 1.0% to 34.0%. Two of these 3 articles analyzed large cohorts of criminal offenders. The remaining articles reported time-independent estimates of the relationship between alcohol and firearm use.
Table 3.
Articles Reporting Prevalence of Alcohol Use Among Firearm Users
| First Author, Year (Reference No.) |
Study Population | No. | Location | Data Source | Type of Firearm Use | Type of Alcohol Use | Alcohol Use Among Firearm Users, % |
|---|---|---|---|---|---|---|---|
| Firearm Possession | |||||||
| Black, 1994 (70) |
Adolescent boys (9–15 years of age) | 192 | United States | Surveys | Gun carrying | Any alcohol use | 36.0 |
| Carter, 2013 (71) |
Youth (14–24 years of age) | 689 | Flint, Michigan | Hospital records | Gun possession | Heavy alcohol use (binge drinking) | 39.6 |
| Johnson, 2012 (72) |
Adult women using out-of-treatment substance | 858 | St. Louis, Missouri | Interviews | Gun carrying | Heavy alcohol use (alcohol dependence) | 60.0 |
| Greenfeld, 2001 (11) |
Crime offenders | 1,982,552 | United States | NCVS | Gun possession | Any alcohol use | 15.6 |
| Kuhns, 2014 (8) |
Homicide offenders | 28,265 | United States and 8 countries | Meta-analysis | Gun use | Any alcohol use | 34.0 |
| Junuzovic, 2013 (12) |
Hunters | 1,000 | Sweden | Gun use | Any alcohol use | 1.0 | |
| Firearm Ownership | |||||||
| Wintemute, 2011 (15) |
Adults | 15,474 | United States | BRFSS | Gun ownership | Any alcohol use | 59.3 |
| Hemenway, 1997 (73) |
Adults | 800 | United States | National survey | Gun ownership | Heavy alcohol use (binge drinking) | 20.0 |
Abbreviations: BRFSS, Behavioral Risk Factor Surveillance System; NCVS, National Crime Victimization Survey.
Table 4 lists articles reporting the prevalence of firearm use (both firearm possession and firearm ownership) among alcohol users (both any alcohol use and heavy alcohol use). On average, just over one fourth (26.5%; range, 17.4%–65.7%) of adolescents with any alcohol use also had carried guns. About 5% of adolescents whose drinking onset age was before 13 years of age had carried guns. Although these studies document important information about the nontrivial levels of alcohol involvement among firearm users, especially adolescents, they are limited by cross-sectional study designs and absence of comparison groups.
Table 4.
Articles Reporting Prevalence of Firearm Use Among Alcohol Users
| First Author, Year (Reference No.) | Study Population |
No. | Location | Data Source | Type of Firearm Use | Type of Alcohol Use | Firearm Use Among Alcohol Users, % | Study Population-Weighted Mean (SD), % |
|---|---|---|---|---|---|---|---|---|
| Firearm Possession | ||||||||
| Estell, 2003 (74) | Adolescents (10–15 years of age) | 345 | A southern state, United States | Survey | Gun carrying | Any alcohol use | 65.7 | 26.5 (21.6)a |
| Simon, 1997 (75) | Adolescents (15–16 years of age) | 504 | California | Survey | Gun carrying | Any alcohol use | 56.5 | |
| Stevens, 2001 (13) | Adolescents (10–12 years of age) | 3,145 | Massachusetts, New Hampshire, Vermont | Survey | Gun possession | Any alcohol use | 17.4 | |
| Peleg-Oren, 2009 (76) | Adolescents (16–18 years of age) | 1,726 | Florida | YRBSS | Gun carrying | Drinking before age 13 years | 12.0 | 4.6 (4.2)a |
| Peleg-Oren, 2009 (76) | Adolescents (16–18 years of age) | 10,626 | Florida | FYSAS | Gun carrying | Drinking before age 13 years | 3.4 | |
| Firearm Ownership | ||||||||
| Swahn, 2002 (77) | Adolescents (12–18 years of age) | 18,454 | United States | Youth Violence Survey | Gun easily available at home | Alcohol easily available at home | 42.0 | |
| Nordstrom, 2001 (78) | Adults | 983 | Iowa | Survey | Home with loaded, unlocked guns | Heavy alcohol use (alcohol dependence) | 13.0 | |
Abbreviations: FYSAS, Florida Youth Substance Abuse Survey; SD, standard deviation; YRBSS, Youth Risk Behavior Surveillance System.
Tables 5 and 6 list articles reporting odds ratio estimates of the association between alcohol use and firearm use. The definitions of alcohol use were based on self-reports and coroner/medical examiner reports, and they ranged from any alcohol use to heavy alcohol use including binge drinking and alcohol dependence. Firearm use (both firearm possession and firearm ownership) was also based on self-reports and coroner/medical examiner reports.
Table 5.
Articles Reporting Odds Ratios Between Alcohol Use and Firearm Use
| First Author, Year (Reference No.) | Study Population |
No. | Location | Data Source | Type of Alcohol Use |
Type of Firearm Use | Alcohol Use and Firearm Injury |
|
|---|---|---|---|---|---|---|---|---|
| Odds Ratio | 95% Confidence Interval | |||||||
| Firearm Possession | ||||||||
| Erickson, 2006 (14) | Adolescent girls (14–17 years of age) | 510 | United States/Netherlands/Canada | Interviews | Heavy alcohol use | Threatened or tried to hurt with a gun | 2.3 | NA |
| DuRant, 1997 (79) | Adolescents (14–17 years of age) | 3,054 | Massachusetts | YRBSS | Any alcohol use | Gun carrying | 1.8a | 1.4, 2.3 |
| DuRant, 1999 (80) | Adolescents (11–14 years of age) | 2,227 | North Carolina | YRBSS | Any alcohol use | Gun carrying | 4.6a | 1.3, 16.6 |
| Loh, 2010 (16) | Adolescents (14–18 years of age) | 3,050 | Flint, Michigan | Hospital records | Any alcohol use | Gun access | 3.4a | 2.9, 4.0 |
| Simon, 1997 (75) | Adolescents (15–16 years of age) | 504 | California | Survey | Any alcohol use | Gun carrying | 2.5a | 1.6, 4.2 |
| Stevens, 2001 (13) | Adolescents (10–12 years of age) | 3,145 | Massachusetts, New Hampshire, Vermont | Survey | Any alcohol use | Gun use | 2.1a | 1.3, 3.3 |
| Peleg-Oren, 2009 (76) | Adolescents (16–18 years of age) | 12,352 | Florida | YRBSS/FYSAS | Drinking before age 13 years | Gun carrying | 29.4a | 6.6, 125.0 |
| Loh, 2010 (16) | Adolescents (14–18 years of age) | 3,050 | Flint, Michigan | Hospital records | Heavy alcohol use (binge drinking) | Gun access | 1.8a | 1.4, 2.3 |
| Wintemute, 2011 (15) | Adults | 15,474 | United States | BRFSS | Any alcohol use | Gun carrying | 1.3 | 0.9, 1.8 |
| Nelson, 1996 (17) | Adults | 6,202 | Oregon | BRFSS | Heavy alcohol use (binge drinking) | Gun carrying | 1.5 | 0.9, 2.4 |
| Wintemute, 2011 (15) | Adults | 15,474 | United States | BRFSS | Heavy alcohol use (binge drinking) | Gun carrying | 1.5a | 1.0, 2.1 |
| Johnson, 2012 (72) | Adult women using out-of-treatment substance | 858 | St. Louis, Missouri | Interviews | Heavy alcohol use (alcohol dependence) | Gun carrying | 1.3 | 0.9, 1.8 |
| Firearm Ownership | ||||||||
| Wintemute, 2011 (15) | Adults | 15,474 | United States | BRFSS | Any alcohol use | Home with loaded, unlocked guns | 1.4a | 1.2, 1.7 |
| Wintemute, 2011 (15) | Adults | 15,474 | United States | BRFSS | Any alcohol use | Gun ownership | 1.3a | 1.2, 1.5 |
| Nelson, 1996 (17) | Adults | 6,202 | Oregon | BRFSS | Heavy alcohol use (binge drinking) | Home with loaded, unlocked guns | 1.7a | 1.3, 2.3 |
| Wintemute, 2011 (15) | Adults | 15,474 | United States | BRFSS | Heavy alcohol use (binge drinking) | Home with loaded, unlocked guns | 1.8a | 1.5, 2.3 |
| Wintemute, 2011 (15) | Adults | 15,474 | United States | BRFSS | Heavy alcohol use (binge drinking) | Gun ownership | 1.3a | 1.2, 1.5 |
Abbreviations: BRFSS, Behavioral Risk Factor Surveillance System; FYSAS, Florida Youth Substance Abuse Survey; NA, not available;YRBSS, Youth Risk Behavior Surveillance System.
a Statistically significant, P < 0.05.
Table 6.
Articles Reporting Odds Ratios Between Alcohol Use and Firearms Versus Other Suicide Means
| First Author, Year (Reference No.) | Study Population | No. | Location | Data Source | Type of Alcohol Use |
Alcohol Use and Firearm Injury |
|
|---|---|---|---|---|---|---|---|
| Odds Ratio | 95% Confidence Interval | ||||||
| Giesbrecht, 2015 (18) | Suicide decedents | 51,347 | United States | NVDRS | Any alcohol use | 1.11a | 1.02, 1.20 |
| Tewksbury, 2010 (19) | Suicide decedents | 419 | Jefferson, Kentucky | Coroner's report | Any alcohol use | 1.68 | 0.95, 2.95 |
| Giesbrecht, 2015 (18) | Suicide decedents | 51,347 | United States | NVDRS | Heavy alcohol use | 1.59a | 1.45, 1.75 |
| Kaplan, 2009 (57) | Suicide decedents, male | 10,615 | United States | NVDRS | Heavy alcohol use (alcohol problem) | 0.81a | 0.73, 0.90 |
| Kaplan, 2009 (57) | Suicide decedents, female | 4,851 | United States | NVDRS | Heavy alcohol use (alcohol problem) | 0.97 | 0.80, 1,17 |
| Kaplan, 2009 (57) | Suicide decedents, male | 10,615 | United States | NVDRS | Heavy alcohol usea | 1.40 | 1.26, 1.55 |
| Kaplan, 2013 (58) | Suicide decedents, male | 45,386 | United States | NVDRS | Heavy alcohol usea | 1.76 | 1.61, 1.93 |
| Kaplan, 2013 (58) | Suicide decedents, female | 12,424 | United States | NVDRS | Heavy alcohol use | 1.68a | 1.46, 1.93 |
Abbreviation: NVDRS, National Violent Death Reporting System.
a Statistically significant, P < 0.05.
Table 5 shows 10 studies reporting odds ratio estimates between alcohol use (any alcohol use and heavy alcohol use) and firearm use (firearm possession and ownership), except for the study by Stevens et al. (13) that reports relative risk ratios. All studies used US-based data sets except for the study by Erickson et al. (14) that collected data internationally. Overall, in the United States, adolescents showed higher odds ratios between alcohol use and firearm use than adults did. For the relationship between any alcohol use and firearm possession, the reported odds ratio point estimations for adolescents in 5 studies ranged from 1.8 to 4.6, all of which were higher than that for adults, 1.3, reported in the study by Wintemute (15). Also, the odds ratio estimates between heavy alcohol use and firearm possession were higher for adolescents, 1.8 from Loh et al. (16), than for adults, 1.5, taken from both Nelson et al. (17) and Wintemute (15). Two studies, Wintemute (15) and Nelson et al. (17), reported odds ratios between alcohol use and firearm ownership. Both studies used US adult data from the Behavioral Risk Factor Surveillance System (BRFSS) surveys. The odds ratios reported in these studies ranged from 1.3 to 1.8 and were consistently statistically significant.
For the 5 reported adolescents' odds ratios between any alcohol use and firearm possession, Figures 2 and 3 provide meta-analysis summary statistics and corresponding forest plots. The summary estimates in these figures were weighted by the inverse of their study sample sizes. Figure 2 demonstrates that the overall odds ratio size across all the types of firearm possession was 2.64 (95% confidence interval: 1.99, 3.49) and statistically significant. In Figure 3, when restricted to only the 3 articles reporting gun carrying, the summary odds ratio remained roughly the same, 2.65 (95% confidence interval: 1.59, 4.44). Overall, these statistically significant odds ratio estimates demonstrated a positive association between alcohol use and firearm possession among adolescents in the United States.
Figure 2.
Meta-analysis odds ratios between any alcohol use and firearm possession for US adolescents. Refer to Table 5 for the details of each study's population, sample number, study location, data source, and type of firearm possession. The 5 studies were found to be heterogeneous (I2 = 79.2%, P = 0.001). The summary estimate presented (diamond) was calculated by using study sample weights. Stevens et al. (13) report relative risk instead of odds ratio. CI, confidence interval; OR, odds ratio.
Figure 3.
Meta-analysis odds ratios between any alcohol use and firearm carrying for US adolescents. Refer to Table 5 for the details of each study's population, sample number, study location, data source, and type of firearm possession. The 3 studies were found to be heterogeneous (I2 = 79.5%, P = 0.008). The summary estimate presented (diamond) was calculated by using study sample weights. CI, confidence interval; OR, odds ratio.
Table 6 lists 4 studies that report odds ratio estimates between alcohol use and firearm suicide among US decedents. The odds ratio estimates in these studies represent the relationship between alcohol use (any alcohol use and heavy alcohol use) and firearms as a suicide means as compared with other suicide means. For any amount of alcohol, 2 studies reported odds ratios: 1 study (18) reported a relatively small but statistically significant odds ratio of 1.11, and the other study (19) reported an odds ratio of 1.68 that was not statistically significant. For heavy alcohol use, 3 studies reported 6 separate odds ratios, ranging from 0.81 to 1.76, broken down by sex and types of heavy alcohol use. Figure 4 shows meta-analysis summary statistics for these 6 odds ratios between heavy alcohol use and firearm suicide means, using the inverse of study population sizes as weights to calculate a statistically significant summary odds ratio of 1.53 (95% confidence interval: 1.45, 1.60). These results suggest that heavy drinkers were significantly more likely to choose firearms over other suicide means, when compared with nondrinkers.
Figure 4.
Meta-analysis odds ratios between heavy alcohol use and selection of firearms suicide means for US suicide decedents. Refer to Table 6 for the details of each study's population, sample number, study location, data source, and type of firearm possession. The 6 studies were found to be heterogeneous (I2 = 97.2%, P = 0.000). The summary estimate presented (diamond) was calculated by using study sample weights. CI, confidence interval; OR, odds ratio.
Alcohol sales outlets and firearm violence victimization
Individuals may place themselves at risk of firearm injury by consuming alcohol, but also possibly by entering into environments where alcohol is being consumed. One environmental approach to the control of injuries due to firearms may be to focus on point-of-sale alcohol outlets whose availability can vary greatly between different geographical areas. These alcohol outlets can typically be categorized as on-premise establishments, such as bars and taverns in which alcohol is both purchased and consumed, and off-premise establishments, such as takeouts and delis where alcohol is purchased but must be consumed elsewhere.
Despite a relatively large literature addressing the relationship between alcohol outlets and violence more broadly, only 3 studies (3, 4, 20) have specifically reported on the relationship between alcohol outlets and firearm violence, using US data. Relevant findings from these 3 studies are shown in Table 7 and demonstrate few strong or remarkable relationships. However, 1 study (3) did find that being in an area of high off-premise alcohol outlet availability significantly increased the odds ratio of falling victim to homicide assaults in an assault by 2.0 times. No significant results were found in the other 2 studies for other firearm-related outcomes.
Table 7.
Articles Reporting on the Relationship Between Alcohol Outlets and Firearm Injury
| First Author, Year (Reference No.) | Type of Crime | Study Population | No. | Location | Data Source | Being Proximal to Alcohol Outlets |
Being Proximal to On-Premise Alcohol Outlets |
Being Proximal to Off-Premise Alcohol Outlets |
|||
|---|---|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | ||||||
| Firearm Assault and Homicide | |||||||||||
| Branas, 2009 (3) | Firearm assaults | Adult | 1,361 | Philadelphia, Pennsylvania | Case-control study | 1.2 | 0.6, 2.5 | 1.1 | 0.6, 2.2 | 2.0a | 1.1, 3.8 |
| Branas, 2009 (3) | Firearm homicides | Adult | 251 | Philadelphia, Pennsylvania | Case-control study | 0.7 | 0.2, 2.8 | 0.9 | 0.3, 2.7 | 4.2 | 0.8, 21.8 |
| Schofield, 2013 (20) | Violent crime | New York State (except for New York City) counties | 57 | New York State | DCJS, census | NA | NA | 4.8b | −3.2, 12.8 | −4.5b | −13.3, 4.3 |
| Self-Inflicted Firearm Injury and Firearm Suicide | |||||||||||
| Branas, 2011 (4) | Self-inflicted gun injuries | Adult | 451 | Philadelphia, Pennsylvania | Case-control study | 0.8 | 0.4, 1.3 | 0.8 | 0.4, 1.3 | 1.6 | 0.8, 2.9 |
| Branas, 2011 (4) | Firearm suicides | Adult | 411 | Philadelphia, Pennsylvania | Case- control study | 0.6 | 0.4, 1.1 | 0.6 | 0.4, 1.1 | 1.3 | 0.7, 2.6 |
Abbreviations: CI, confidence interval; DCJS, Division of Criminal Justice Services; NA, not applicable; OR, odds ratio.
a Statistically significant, P < 0.05.
b Value represents β, not odds ratio.
Alcohol laws and firearm use in the United States
US federal law does not prohibit alcohol abusers from obtaining firearms (21). In light of this, 1 study (22) specifically reviewed state laws restricting the intersection of firearms and alcohol. The study's results are summarized in Table 8. As of 2008, a total of 46 laws in 31 states restricted the intersection of alcohol and firearms. More specifically, a total of 18 states categorically restricted firearm ownership or firearm use by individuals on the grounds of “habitual alcohol use.” A total of 12 states had alcohol-specific firearm restrictions with respect to location, such as restricting possession of a loaded firearm in places where intoxicating liquor was sold. A total of 26 states had laws restricting firearms for people who were intoxicated: 6 states restricted the sale or transfer of firearms to an intoxicated person, 4 states restricted the carrying of a concealed weapon while intoxicated, and 20 states specifically restricted possession and/or discharge of a firearm by an intoxicated person.
Table 8.
State Laws of the Intersection Between Alcohol and Firearms, 2008a
| Law | States |
|---|---|
| Firearms Restrictions of Intoxicated Persons (n = 22 States) | |
| States restricting firearm possession and/or discharge of a firearm by intoxicated persons (at home or in public places) | Alaska, Colorado, Connecticut, Florida, Georgia, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Mexico, Ohio, Oklahoma, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah |
| States restricting firearm sale or transfer to intoxicated persons | Alaska, Delaware, Indiana, Maryland, Tennessee, Texas |
| Firearms Restrictions of Habitual Alcohol Users (n = 22 States) | |
| States restricting firearm possession by alcohol addicts and/or habitual alcohol users (at home or in public places) | Alabama, Florida, Ohio |
| States restricting carrying concealed firearms by alcohol addicts and/or habitual alcohol users (in public places) | Colorado, Florida, Kentucky, Louisiana, Mississippi, Missouri, New Mexico, Wyoming |
| States restricting firearm sale, transfer, ownership, and/or licensure to alcohol addicts and/or habitual alcohol users | Alabama, Georgia, Hawaii, Indiana, Iowa, Maryland, Massachusetts, Nevada, New Jersey, Pennsylvania, Rhode Island, Tennessee, West Virginia |
| Firearms Restrictions of Intoxicating Liquor-Selling Locations (n = 12 States) | |
| States restricting possession of a loaded firearm in a place where intoxicating liquor is sold for on-premise consumption | Alaska, Arkansas, Illinois, Kentucky, Louisiana, Michigan, New Mexico, Oklahoma, South Carolina, Tennessee, Texas, Wisconsin |
| Firearms Restrictions of Other Alcohol-Related Crime Convictions (n = 2 States) | |
| States restricting firearm possession by persons convicted of other alcohol-related crimes (such as drunk driving) | Arkansas, Pennsylvania |
a Source: Carr et al. (22).
DISCUSSION
A common and well-documented gun safety rule is “never use alcohol … before or while shooting” (23). Despite this, the current systematic review with meta-analysis suggests that a nontrivial proportion of firearm injury victims and firearm users concomitantly use or misuse alcohol. Forty years of peer-reviewed studies investigating the relationship between alcohol and firearm violence reveal a number of salient research findings, gaps in knowledge, and potential interventions worthy of further testing.
A large group of case-series studies showed that, on average, over one third of firearm injury decedents in the United States (homicides and suicides) had acutely consumed any amount of alcohol prior to their death and that over one fourth of these decedents had heavily consumed alcohol prior to their death. Despite being large in number, the summary statistics for these decedent case-series studies should not be overinterpreted. Because they were restricted only to individuals with firearm injuries (and even more so, fatal firearm injuries) with no control groups, these case-series studies offer little guidance in terms of the actual relationship that might exist between alcohol use and firearm injury, either from others or from oneself.
Only 2 analytical studies investigating the relationship between alcohol use and firearm injury were found. These 2 case-control studies demonstrated that the odds ratios of being a victim of gun injury after drinking, especially heavy drinking, were most pronounced among self-inflicted and suicide firearm injury victims with statistically significant odds ratios of 4.0 or greater. Gun suicide victims often “brace” themselves with alcohol in anticipation of a painful or violent end (7, 24–26). Acute alcohol consumption, and perhaps heavy alcohol consumption, may make the impulsive and painful act of shooting oneself potentially easier and significantly more likely (4). Therefore, suppressing the availability of alcohol and guns during these times may be especially important from a public policy perspective (27). Nevertheless, 2 studies are not a sufficiently large number with which to generalize and form policy. The dearth of studies investigating firearm injury victimization after alcohol consumption remains a major gap in knowledge.
Studies of alcohol and firearm use, possession, or ownership were relatively plentiful when compared with studies of alcohol and firearm injury victimization. These studies consistently reported that alcohol use was significantly associated with the possession of firearms, the ownership of firearms, and the use of firearm as a suicide means, and that the association was stronger for heavy alcohol use. Despite this important body of research, more controlled risk factor and intervention studies are needed to better elucidate the relationship between alcohol consumption and firearm use/misuse, very importantly including randomized controlled trials, of which only 1 was identified.
Although analogous to drunk driving that has received ample study, “drunk firing” remains largely unstudied and misunderstood physiologically and mechanistically. The 1 randomized trial found in this review, although small, began to contribute to this gap in knowledge. This trial was in line with other experimental human performance trials, such as driving after alcohol consumption (28, 29) and firearm usage after exposure to substances and conditions other than alcohol (30–42). More trials like this one could further uncover important mechanisms by which shoot-no shoot decisions are made and inform policies that prohibit firearm possession above proscribed levels of alcohol consumption, in much the same way as we do for drunk driving. A further, related trial consideration could also test the relationship between the “day-after” hangover effects of alcohol and subsequent firearm use, as has been done in other human performance trials not involving firearms (12, 43).
Studies of the alcohol sales outlets and firearm violence were similarly small in number. Although numerous studies have addressed the relationship between alcohol outlets and violence more broadly, only 3 studies specifically reported on the relationship between alcohol outlets and firearm violence, and only 1 study among the 3 demonstrated that off-premise outlets were significantly associated with increased odds of firearm assault. This study also included first-hand field observations of patrons and activity in randomly selected alcohol outlets during peak nighttime operations. The high odds ratio generated by off-premise outlets may be the result of the sale and nearby street consumption of high-quantity, high-alcohol content beverages, as well as an often small number of servers who work from behind fortified walls of bulletproof glass and only briefly interact with patrons, mostly to distribute alcohol. Off-premise outlets thus attract heavy drinkers and other at-risk patrons who have come to drink and engage in illegal activities such as gang violence and drug dealing in this poorly monitored street environment (3, 44, 45). Although emerging from a statistically significant finding in a single case-control study, strategies to address the alcohol sales environment, such as server training, rezoning, and/or enhanced policing in areas with highly clustered off-premise alcohol outlets, are potentially promising gun violence reduction strategies in need of further testing.
The 1 study of the intersection of alcohol and firearm laws and other commentaries raised the possibility of important legal interventions that might now be tested as part of an expanded scientific program to determine if alcohol laws are associated with firearm violence. Laws that specify proscribed blood alcohol levels of intoxication to restrict firearm carrying and use, equivalent to those specified nationally for drunk driving, could be valuable prevention strategies. Such laws could reduce alcohol-related firearm injury via the discovery and enhanced punishment of gun carriers who are intoxicated before, and after, they discharge their weapons. In addition, there may be value to testing multiple prior drunk driving convictions as a straightforward and defensible statutory criterion for disqualifying persons from the purchase or possession of firearms (21). Also, explicitly and clearly defining ambiguous terms like “intoxication” and “habitual” in state alcohol and firearm laws, and consistently implementing strict penalties for violations of such laws could be tested as solutions to alcohol-related firearm injury (22).
This systematic review with meta-analysis is not free from limitations. One limitation is our inclusion of only peer-reviewed studies with no inclusion of “gray” literature such as government reports, unpublished studies, and other publications. Excluding the gray literature might introduce publication bias to the current study's summary results given that only statistically significant results tend to be published. Despite that adding gray literature may in and of itself introduce other biases, it is worthy of consideration in future systematic reviews and meta-analyses on this topic.
The current study's synthesis of the existing evidence base on alcohol and firearm violence has identified important gaps in knowledge for future study. Although lacking in certain aspects and in need of further contributions, the consistent and statistically significant findings within this evidence base suggest that alcohol use and firearm violence are strongly interrelated and that alcohol might be focused on as a modifiable risk factor in preventing firearm violence. A noteworthy omission in this evidence base is that no actual public health interventions in the alcohol-firearms relationship have been formally studied, and future research should focus on such interventions by using randomized controlled trials or natural experiments. In this way, policies such as rezoning off-premise alcohol outlets, proscribing blood alcohol levels and enhancing penalties for carrying or using firearms while intoxicated, and considering prior drunk driving convictions as a more precise criterion for disqualifying persons from the purchase or possession of firearms deserve further study if they are to be considered as potential interventions to reduce firearm violence.
ACKNOWLEDGMENTS
Author affiliations: Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania (Charles C. Branas, SeungHoon Han, Douglas J. Wiebe); and Penn Injury Science Center, University of Pennsylvania, Philadelphia, Pennsylvania (Charles C. Branas, SeungHoon Han, Douglas J. Wiebe).
This work was supported in part by grants R01AA020331 and R01AA016187 from the National Institutes of Health, as well as by grant R49CE002474 from the Centers for Disease Control and Prevention.
Conflict of interest: none declared.
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