• weapon;
  • adolescents;
  • violence;
  • emergency department


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Limitations
  7. Conclusions
  8. References

Objectives:  The objective was to describe the prevalence and correlates of past-year weapon involvement among adolescents seeking care in an inner-city emergency department (ED).

Methods:  This cross-sectional study administered a computerized survey to all eligible adolescents (age 14–18 years), 7 days a week, who were seeking care over an 18-month period at an inner-city Level 1 ED. Validated measures were administered, including measures of demographics, sexual activity, substance use, injury, violent behavior, weapon carriage, and/or weapon use. Zero-inflated Poisson (ZIP) regression models were used to identify correlates of the occurrence and past-year frequency of these weapons variables.

Results:  Adolescents (n = 2069, 86% response rate) completed the computerized survey. Fifty-five percent were female; 56.5% were African American. In the past year, 20% of adolescents reported knife or razor carriage, 7% reported gun carriage, and 6% pulled a knife or gun on someone. Although gun carriage was more frequent among males, females were as likely to carry a knife or pull a weapon in the past year.

Conclusions:  One-fifth of all adolescents seeking care in this inner-city ED have carried a weapon. Understanding weapon carriage among teens seeking ED care is a critical first step to future ED-based injury prevention initiatives.

ACADEMIC EMERGENCY MEDICINE 2010; 17:168–176 © 2010 by the Society for Academic Emergency Medicine

Youth violence is a significant public health problem that accounts for much of the morbidity and mortality among adolescents in the United States. Homicide is the leading cause of death for African American adolescents and the second leading cause of death for white adolescents.1 Firearms are the most common mechanism of homicide mortality among adolescents, accounting for 83% of all homicides.1 Focusing on homicides alone, however, underestimates the scale of this public health problem among adolescents. In 2005, the ratio of nonfatal intentional injuries to homicides among adolescents was 101:1, suggesting that the impact of violence on injury is far more substantial.2 Research indicates that fight-related injuries among adolescents carrying a knife occur at nearly twice the rate of injuries among adolescents who do not carry a weapon.3 Illicit gun and knife carriage are potent risk factors for violence and violent injury among adolescents,3–8 and illicit gun carriage has been significantly associated with serious injury and death for both the carrier and the others among adolescents.3,4,9,10

National medical organizations have recognized that firearm-related injuries and deaths affect the pediatric population and have urged physicians to incorporate violence prevention into adolescent medical practice.11–15 Identification of teens who carry weapons, specifically guns, is an important component of violence prevention. As a group, adolescents who present to the emergency department (ED) may differ from teens that attend school16 and have been shown to have elevated rates of risk behaviors.17

To the best of our knowledge, previous research has not described weapon-related behavior among a comprehensive sample of teens seeking ED care, regardless of presenting complaint. In addition, the adolescent literature has not described an analysis evaluating how risk factors relate to whether a teen has ever carried a weapon or how often a teen has carried. Weapon-related risk factors were selected for this current study based on theoretical models of youth violence and weapon carriage18–20 and prior research3,5,6,21–24 and included demographics (age, minority status, sex), prior injury and fighting, and other multiple risk behaviors such as substance use and sexual activity. The main objective of this study was to describe the prevalence of weapon carriage among adolescents seeking care in an inner-city ED.


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Limitations
  7. Conclusions
  8. References

Study Design

This was an observational cross-sectional survey study. Patient assent and parental consent were obtained for youths under age 18 years. Study procedures were approved by the appropriate institutional review boards (IRBs). A certificate of confidentiality was obtained from the National Institutes of Health (NIH).

Study Setting and Population

The study site was an inner-city Level 1 trauma center ED in Flint, Michigan, with an annual ED census of approximately 75,000 patients per year (25,000 pediatric patients).The pediatric ED is a separate clinical area, adjacent to the adult ED (across the hall). Hurley Medical Center is the only public hospital in the city. Flint is comparable in terms of poverty and crime to the other urban centers such as Detroit, Michigan; Hartford, Connecticut; Camden, New Jersey; St. Louis, Missouri; and Oakland, California.25 The population of Flint is 50% African American.26

Patients were identified from electronic tracking logs and were approached by trained, bachelor, or master’s-level research assistants (RAs) in waiting rooms or treatment spaces. A consecutive sample of adolescents (ages 14–18 years) presenting to the ED for either medical illness or injury was approached by research staff to participate in this computerized survey during the afternoon and evening shifts (∼12pm–11pm), 7 days/week from September 2006 through June 2008. Patients were excluded if they were being treated for sexual assault or acute suicidal ideation or had abnormal vital signs (Figure 1).


Figure 1.  Recruitment flowchart, September 2006–June 2008. ICU = intensive care unit; RA = research assistant.

Download figure to PowerPoint

Study Protocol

Consenting participants self-administered an audio computer-assisted self-interview on a tablet laptop computer, with touch screen and audio via headphones. The survey administered was the screening portion of a larger randomized controlled trial.27 Participants received a token $1.00 gift (e.g., notebook, pens). The survey was in English only (consistent with the study site population, and no participants were excluded for language restrictions). RA staff paused the computer when the medical staff was present or if the participant went to testing (x-ray, etc.). Family or friends accompanying an adolescent, if in the room, were not permitted to be in a physical position where they could view the questions in the computer. This was enforced by the RA in the room. If adolescents completed the screen more than once due to repeat ED visits over the recruitment period, only the first screening completed was included in the data.

Demographic information (age, race, ethnicity, sex, employment, school grades, and receipt of public assistance) was collected using items from the National Study of Adolescent Health.28 Weapon-related behaviors were assessed using three questions from the Youth Risk Behavior Survey (YRBS),29 which has established reliability.30,31 Participants were asked, during the past 3 months and past year, how often they carried a knife or razor, carried a gun, and pulled a knife or gun on someone. Past-year carriage was the primary outcome variable. The response scale was: never, one time, two times, three to five times, six to 10 times, 11–20 times, and more than 20 times, For analysis purposes, past-year carriage was the variable of interest; values used were the midpoints (i.e., for the range of three to five times response, four times was used) as is commonly done in the broader violence literature.32 Sexual activity was assessed by a question (yes/no) regarding lifetime sexual activity from the YRBS,29“Have you ever had sexual intercourse?”

To assess substance use, participants were asked to indicate whether they had consumed alcohol more than two or three times in the past year.28 Frequency, quantity, and heavy alcohol consumption were assessed with the Alcohol Use Disorders Identification Test (AUDIT-C).33,34 Binge drinking was assessed using the AUDIT-C;33 however, as recommended by Chung et al.,34 for application among adolescents, binge drinking quantity was lowered from the original “six or more …” to “five or more drinks on one occasion.” Responses for binge drinking were dichotomized (yes/no) for analysis. Past year cigarette35 and marijuana use29 were assessed using dichotomous measures indicating if the substance was used (yes or no).

Past-year injury from a physical fight or a gun was assessed with the Adolescent Injury Checklist.36 Patients indicated if injuries required treatment by a doctor or nurse. These were dichotomized (yes/no).

Two items from Add Health28 assessed how often the teens self-report they were in a “serious physical fight” and “took part in a fight where a group of my friends was against another group.” Consistent with the Add Health survey, these behaviors were not further defined. Responses were dichotomized (yes/no).

Data Analysis

Descriptive statistics were computed for demographic and behavioral characteristics of the sample, and three outcome variables (knife or razor carriage, gun carriage, pulled a knife or gun). Bivariate analyses were performed using chi-square test of independence. Zero-inflated Poisson (ZIP) regression models were then used to predict both the past-year occurrence and the past-year frequency of the three outcomes listed above. ZIP regression is indicated when there is a high likelihood that there will be multiple scores of zero.37 ZIP regression was chosen here as it allows for two types of predictions: whether or not a behavior occurred (e.g., gun carriage), where associations are interpreted with odds ratios (OR) for predicting “zero” for the outcome (e.g., no gun carriage) and appear in the “zero-inflation” column, and for those who reported the occurrence of a given behavior, how often it occurred (e.g., how often carried a weapon), for which associations are interpreted with a relative risk ratio, and are reported in the “incident count” column. This analysis thus provides novel information on gun carriage among adolescents in general and specifically in this ED sample. The Vuong statistic38 (z = 13.43, p < 0.0001 for knife carriage; z = 4.93, p < 0.0001 for gun carriage; and z = 5.61, p < 0.0001 for pulling a weapon) was used to confirm that the ZIP regression models were the most appropriate regression models to use given the distribution of the variable.

Independent variables were retained in the final regression models based on theory18–20 and significance in the bivariate analysis. All demographic factors (i.e., age, race, sex, and receipt of public assistance) were associated with at least one of the three weapon-related behaviors in the bivariate analysis, and given the theoretically grounded importance of controlling for these variables, all demographic variables were retained in all multivariate models. Substance use variables (cigarette use, marijuana use, alcohol use, and binge drinking) were highly correlated. To account for this, marijuana use and binge drinking were retained in the final model (dropping cigarette and alcohol use) as those variables had the strongest bivariate association with weapon behaviors. Multicollinearity diagnostics were calculated on all variables retained in final regressions, and there was no evidence of multicollinearity.


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Limitations
  7. Conclusions
  8. References

Among 2,785 potentially eligible patients who presented during the recruitment period, 2,387 (86%) were approached, and 398 (14.3%) were missed by the RA (Figure 1). Among eligible patients who were approached, 2,069 completed the survey (86.7% participation, 13.3% refusal rate), and therefore 74.2% of the focus population was included in the survey. Comparisons between the screening sample and refusals indicated the groups were similar by sex (χ2 = 2.09, p = 0.15) and race (χ2 = 1.15, p = 0.56). Due to IRB restrictions, no other data were collected on refusals without informed assent or consent. Among the sample, 55.1% were female, 56.5% were African American, 34.6% were white, and 8.8% were of other races (Table 1). In regard to ethnicity, 6.0% of teens identified as Hispanic or Latino ethnicity. Consistent with national trends,39 40% of participants presented to the ED seeking care for an injury. The median screen time was 12 minutes (interquartile range [IQR] = 8.8–17.6).

Table 1.   Characteristics of Study Sample (N = 2,069)
Characteristicn (%)
 Age (16 yr and older)1,270 (61.4)
 Race (African American)1,170 (56.5)
 Sex (male)929 (44.9)
 Failing grades in school652 (31.5)
 Employed522 (25.2)
 Public assistance1,104 (53.4)
Past-year substance use
 Any alcohol use585 (28.3)
 Binge drinking302 (14.6)
 Cigarette use546 (26.4)
 Marijuana use593 (28.7)
Past-year injury
 Injured in a physical fight 336 (16.2)
 Injured in a physical fight and treated by doctor/nurse89 (4.3)
 Injured by a gun165 (8.0)
Violent behavior
 Serious physical fight807 (39.0)
 Group fighting438 (21.2)
 Sexual activity (yes)1,254 (60.6)

Prevalence of Weapon-related Behaviors

One-fifth of all teens (n = 414; 20.0%) reported knife or razor carriage (21.9% of those with a medical complaint and 16.7% of those with injury); 7% of all teens (n = 144) reported past-year gun carriage (6.2% of those with a medical complaint and 7.0% of those with an injury) (Table 2). Of teens who reported carrying a gun, most (n = 98; 68%) had done so in the past 3 months. Only 3.1% of teens (65/2069) reported carrying both a gun and a knife. Nearly half (42%; 61/144) of teens who carried a gun reported that this occurred at least three times. Of teens who carried a gun, 39% (n = 56) pulled a weapon; of those who carried a knife, 21% (n = 86) reported pulling weapon.

Table 2.   Prevalence and Sex Differences in Weapon Access, Carriage, and Use (N = 2,069)
 All Teens, N = 2,069Male,*n = 929Female,*n = 1,140
n%†Median (IQR)n%†Median (IQR)n%†Median (IQR)
  1. IQR = interquartile range.

  2. *No significant differences were found in median number of times of carrying gun, carrying knife, and pulling weapon difference between males and females.

  3. †Percentages noted are column percentages.

Knife/razor carriage41420.03.0 (1.0–6.0)18620.03.0 (1.0–6.0)22820.03.0 (1.0–5.0)
Handgun carriage1447.02.0 (1.0–3.0)11812.72.0 (1.0–3.0)262.32.0 (1.0–3.0)
Pulled knife or gun1316.31.0 (1.0–2.0)657.02.0 (1.0–3.0)665.81.0 (1.0–2.0)

Sex and Weapon-related Behaviors

Males were more likely than females to report gun carriage (12.7% vs. 2.3%, OR = 6.2, 95% CI = 4.0 to 9.6). Rates of knife or razor carriage or pulling a weapon did not differ significantly between sexes. The majority (96.2%) of females reporting weapon carriage also carried a knife. Males who carried were divided in terms of weapon type: 46.1% (118/256) reporting carrying a gun, and 72.7% (186/256) reporting carrying a knife. Only 18.8% (48/256) males reported carrying both types of weapons over the past year.

ZIP Regression: Knife/Razor Carriage

ZIP regression models (Table 3) were overall significant for each of the three outcomes. Non-African American race, failing grades, marijuana use, and sexual activity were not only related to the occurrence of knife or razor carriage, but were also associated with an increased frequency of past-year carriage. Past-year injury by a gun, serious physical fighting, and group fighting were associated with knife or razor carriage, but not with the frequency of knife carriage. Older age and employment status were associated only with more frequent knife carriage among teens who carried, but were not associated with occurrence of any knife/razor carriage.

Table 3.   ZIP Regression Predicting Past-year Knife/Razor Carriage, Gun Carriage, and Pulling a Weapon (N = 2,069)
 Knife or Razor Carriage (n = 272)Handgun Carriage (n = 144)Pulled a Knife, Razor, or Gun (n = 131)
Zero-inflation, OR (95% CI)Incident Count, RR (95% CI)Zero-inflation, OR (95% CI)Incident Count, RR (95% CI)Zero-inflation, OR (95% CI)Incident Count, RR (95% CI)
  1. Zero-inflated columns are predicting the occurrence of the behavior (with OR) while the incident count columns refer to how often the behavior occurred in those teens who reported the weapon-related behavior (with RR ratios). For example, past-year injury by a gun was associated with occurrence of handgun carriage (OR = 1.89), as well as with how often the teen carried (OR = 1.19).

  2. RR = relative risk; ZIP = zero-inflated Poisson.

  3. *ORs that are statistically significant (95% CIs do not cross 1).

 Age (16 yr and older) 0.92 (0.69–1.20)1.49 (1.37–1.61)*0.75 (0.47–1.20)1.30 (1.08–1.56)*0.74 (0.43–1.25)1.79 (1.39–2.57)*
 Race (African American)0.64 (0.50–0.83)*0.60 (0.55–0.64)*2.44 (1.54–4.00)*1.06 (0.95–1.26)1.89 (1.16–3.03)*0.95 (0.72–1.27)
 Sex (male)0.85 (0.67–1.09)1.23 (1.14–1.32)*7.14 (4.35–11.1)*1.29 (1.06–1.59)*1.28 (0.82–1.96)1.63 (1.25–2.14)*
 Failing grades in school1.30 (1.02–1.67)*1.13 (1.06–1.21)*1.52 (1.01–2.27)*1.58 (1.35–1.85)*0.94 (0.61–1.47)1.72 (1.31–2.27)*
 Employed1.09 (0.83–1.41)1.13 (1.05–1.21)*0.73 (0.45–1.19)1.35 (1.14–1.59)*0.98 (0.58–1.64)1.53 (1.11–2.11)*
 Public assistance0.98 (0.76–1.23)0.99 (0.93–1.07)0.82 (0.54–1.23)1.82 (1.59–2.13)*1.43 (0.92–2.22)1.96 (1.54–2.50)*
Past-year substance use
 Marijuana use 2.27 (1.72–3.03)*1.32 (1.22–1.42)*3.33 (2.13–5.26)*1.00 (0.84–1.19)2.38 (1.45–4.00)*1.28 (0.94–1.73)
 Binge drinking1.09 (0.78–1.49)0.98 (0.91–1.06)1.54 (0.93–2.56)1.33 (1.12–1.59)*2.27 (1.33–3.85)*0.78 (0.58–1.05)
Past-year injury
 Injured in a physical fight1.09 (0.65–1.79)1.06 (0.82–1.08)1.79 (0.83–3.85)1.82 (1.29–2.59)*1.47 (0.70–3.03)1.16 (1.11–1.84)*
 Injured by a gun1.67 (1.15–2.44)*0.95 (0.86–1.04)1.89 (1.12–3.23)*1.19 (1.01–1.41)*1.09 (0.61–1.92)1.65 (1.25–2.18)*
Violent behavior
 Serious physical fight 1.92 (1.47–2.50)*0.95 (0.87–1.02)1.61 (1.02–2.56)*1.33 (1.12–1.59)*1.61 (0.92–2.86)2.14 (1.39–3.29)*
 Group fighting 1.92 (1.47–2.56)*1.12 (1.02–1.23)*3.33 (2.13–5.00)*1.64 (1.36–1.98)*2.78 (1.75–4.55)*1.55 (1.11–2.16)*
 Sexual activity (yes)1.49 (1.10–2.04)*1.12 (1.02–1.23)*2.44 (1.32–4.55)*1.26 (0.95–1.68)0.93 (0.46–1.85)1.97 (1.23–3.16)*

ZIP Regression: Gun Carriage

Demographic characteristics of teens who reported any gun carriage differed from those who carried a knife by race; African American teens were more likely to carry guns, while non–African American teens were more likely to carry a knife. Male sex was also related to occurrence and increased frequency of gun carriage. Poverty (as indicated by receipt of public assistance by the teen’s family) was not associated with any gun carriage, but was associated with increased past-year frequency of gun carriage among those teens who reported carriage.

Marijuana use and sexual activity were both strongly related to occurrence of gun carriage; however, unlike knife carriage, these behaviors were not related to increased frequency of gun carriage among those who were carrying. Unlike knife carriage, binge drinking, past injury in a physical fight, past injury by a gun, and fighting (both serious fight and group fights) were all associated with increased frequency of gun carriage.

ZIP Regression: Pulling a Weapon

Overall, we found fewer correlates of pulling a weapon than weapon carriage. African American participants and those who reported marijuana use, binge drinking, and group fighting were associated with any pulling of a weapon. Binge drinking was the only correlate associated with frequency of pulling a weapon that was not also associated with knife or gun carriage. The correlates of frequency of pulling a weapon were very similar to those reporting increased frequency of gun carriage.


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Limitations
  7. Conclusions
  8. References

This study fills a gap in the literature by providing a comprehensive analysis of rates and correlates of both occurrence and frequency of past-year weapon carriage and use (“pulled a knife or gun on someone”), in a large systematic sample of teens seeking care in an inner-city ED. Although weapon carriage has been studied in prior school-based and community samples, this study is among the first to inform ED clinicians on the prevalence of weapon-related behaviors in a general sample of teens seeking ED care, a critical step toward ED-based youth violence prevention initiatives.

One-fifth of teens in this ED sample reported knife or razor carriage, and 7% reported gun carriage in the past year. Clinicians should consider these rates of weapon involvement when discharging patients from the ED, particularly those with assault-related injury at risk for participation in retaliatory violence or those with psychosocial issues that may threaten the safety of themselves and others, such as depression or aggressive behavior. Many (39%) of the teens who carried a gun also pulled out a weapon (implicitly to threaten or use), highlighting the importance of intervening with teens who report carriage. Although this study did not examine the context and outcome of the weapon-related situation, the act of pulling a weapon out during an altercation can exacerbate the probability of serious injury to self or others regardless of initial intent.40,41 While “protection” or “self-defense” are often the most common reasons adolescents report for carrying a weapon,42–44 any illicit weapon involvement during adolescence places teens at greater risk for injury and death relative to other forms of youth violence.3,21

Consistent with prior research, gun carriage was predominantly, although not exclusively, a male activity.45 Knife carriage, however, was similar among males and females; females were as likely to have pulled a weapon out as their male peers. These results suggest that injury prevention efforts that include weapon carriage may need to include both sexes, although role plays and discussions with female teens may be more salient if focused on knife carriage. Weapon type also varied according to race. African American teens were more likely than non–African Americans to carry a gun. However, non–African American teens were more likely than African Americans to carry a knife. Weapon choice among adolescents likely has multiple determinants, including access, socioeconomic factors, neighborhood characteristics, peer-group activities, and motivation for carrying a weapon.46 Understanding racial and sex differences related to weapon type may help inform and tailor future behavioral interventions focused on decreasing illicit weapon carriage and related injury.

One-third of the study sample had failing grades, which in other studies was associated with both knife and gun carriage.6,47 Teens with failing grades may be underrepresented in school-based studies, highlighting the importance of understanding the unique characteristics of ED samples to more finely direct future intervention research intended for ED settings. Receipt of public assistance by the teen’s family did not predict gun carriage, but among youth who carried a gun, public assistance was associated with increased frequency of carriage.

Consistent with many prior studies on clustering of risk behaviors and youth delinquency,18,48–52 substance use, sexual activity, and group fighting were all related to gun and knife carriage. This study adds to the broader literature on weapon carriage by analysis of both the presence of and frequency of risk domains in relation to weapon involvement. Prior research has demonstrated a pathway between marijuana use among African Americans and weapon carriage.53,54 Yet, our data revealed that although these high-risk behaviors cluster together (e.g., marijuana use and sexual activity), they were not related to how often teens carried a gun in the past year. These findings may suggest that although these risk behaviors commonly co-occur within youth, they are not driving the frequency of the behavior.

In contrast, past-year serious physical fighting, group fighting, fight-related injury, or injury by a gun were all related to how often a teen carried a gun or pulled a weapon. In this cross-sectional study, causality cannot be inferred; therefore, it is unclear if teens carry and pull a gun because of prior injury and thus the perceived need for self-protection or if gun carriage or use caused or indirectly led to the injury. In either case, these findings in an ED sample mirror findings from other disciplines in the strong association between prior assault- or gun-related injury with gun carriage3,4,6–8,55 and should be considered clinically when treating teens in the ED who are the victims of an assault- or gun-related violence.

The relationship between alcohol use and violence is well-established, and alcohol use by underage teens has been associated with weapon-related behavior in prior studies.6–8,23,47,56–59 These data are the first to report that binge drinking was related to increased frequency of carriage among teens that are carrying, as well as to the often impulsive behavior of pulling a weapon. Future studies are needed to determine whether this relationship reflects acute intoxication effects in which inebriated teens may impulsively carry or pull an illicit weapon or simply reflects the clustering of risk behaviors. Clinically, these findings suggest that substance use interventions addressing binge drinking among high-risk teens may also be effective in reducing frequency of gun carriage and perhaps the likelihood that a teen will pull out a gun in an altercation.


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Limitations
  7. Conclusions
  8. References

This study was limited by its cross-sectional design, and therefore causal connections about gun carriage could not be made, and the context of weapon carriage or use was not assessed. Prospective studies testing the predictive validity of the screening tool are necessary in a separate data set. Teens presenting with acute suicidal ideation or attempt were also excluded from the study, and therefore the rates presented may be an underestimate of rates of weapon-related behaviors. The behaviors are self-reported; however, recent reviews among adolescents and young adults have concluded that reliability and validity of risk behaviors such as self-reported alcohol, tobacco, and other drug use is high.60–64 Adolescents and young adults are more likely to report risky behaviors using computerized surveys, and when privacy/confidentiality is assured, as was done with an NIH certificate of confidentiality in this study.64–68 These data reflect a single site, with predominantly African American and white youth and low numbers of Hispanic youth (consistent with the local population). No patients were excluded due to being non–English speaking. In addition, youth presenting on the overnight shift were not sampled in this study. Finally, although a strength of this study is its focus on an inner-city ED, a logical focus for future violence prevention initiatives, the findings may not generalize to non–inner-city, urban, suburban, or rural EDs.


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Limitations
  7. Conclusions
  8. References

To the best of our knowledge, this study is the first to describe rates and correlates of weapon carriage among more than 2,000 adolescents seeking ED care, who were systematically approached and screened over 18 months in an inner city ED. One-fifth of teens surveyed reported weapon carriage, and 6% had pulled out a weapon in the past year. Female teens reported similar rates of knife carriage compared to their male peers, and this should be accounted for in future injury prevention strategies. We found that being male, having been involved in a group fight or a serious fight, having been injured by a weapon, binge drinking, marijuana use, and being sexually active were all risk factors positively associated with gun carriage. Violent injury has been shown to be a preventable public health problem.69 Understanding weapon carriage among teens seeking ED care is a critical first step to future ED-based injury prevention initiatives.

We thank the project staff (Bianca Burch, Yvonne Madden, Tiffany Phelps, Carrie Smolenski, and Annette Solomon) and also Pat Bergeron for administrative assistance and Linping Duan for statistical support. Finally, special thanks are owed to the patients and medical staff at Hurley Medical Center for their support of this project.


  1. Top of page
  2. Abstract
  3. Methods
  4. Results
  5. Discussion
  6. Limitations
  7. Conclusions
  8. References
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