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. Author manuscript; available in PMC: 2020 Aug 1.
Published in final edited form as: J Behav Med. 2019 Aug 1;42(4):763–810. doi: 10.1007/s10865-019-00048-x

Table 1.

Articles reporting data on age of onset for firearm carriage and patterns of firearm carriage

Article Design Sample size Study sample and setting Unique attributes Key results for patterns of carriage Limitations Nos score
Arria et al. (1995) Cohort
Surveyed annually for 5 years
1714 Students from 43 classrooms within 19 public schools from 5 districts in Baltimore, MD M age (w1) 9
M age (w5) 13
50% Male
73% Black
26% White
Past 1-year carriage = 10% (male); 1% (female). Rates of gun carriage increased across waves of data, starting at < 2% (w1) and increasing to 10% (male) and 1% (female) by wave 5
Less lethal weapon carriage (stick, knife) was associated with initiating carrying a gun at later waves across multiple waves
Limited generalizability
Single city
Younger adolescent sample
Missed students who may have dropped out at later waves
Self-report data
6
Ash et al. (1996) Qualitative
Semi-structured
interviews
63 Youth offenders recruited from 5 detention centers in Atlanta, GA Ages 13–18
M age 15.7
67% Male
66% Black
34% White
Patterns of carriage: Identified 4 distinct carrier types
Non-carriers (n = 14): 71% of this group owned a gun
Intermittent carriers (n = 14): Defined as having weeks and/or months without carrying; each owned ≥ 1 gun
Part-time carriers (n = 11): Carried more frequently than
Intermittent carriers and had increasing frequency over time in response to stressors (e.g., friend was shot)
Constant carriers (n = 24): Defined as carrying all/most of the time; had carried constantly since acquiring a gun
Small minority of carriers decreased carriage over time (n = 6)
Purposeful acquisition of first firearm positively correlated with becoming frequent/constant carriers (p < 0.05)
Limited generalizability
Nonrandom convenience sample of youth offenders from single city
Self-report data
Small sample
6
Beardslee et al. (2018a) Cohort
Pittsburgh Youth Study
Analysis from 6-month surveys (3-year; grade 2–4) and 12-month surveys (age 10–17)
485 Random sub-sample of male participants from youngest cohort of large school-based longitudinal study in Pittsburgh, PA 100% male
56% Black
41% White
Excluded non-White/Black participants
Lifetime carriage = 27% (Black); 12% (White): Black youth more likely to carry in adolescence than White youth (OR = 3.3); Youth with higher levels of conduct problems and peer delinquency at earlier childhood waves, as well as those with increases in conduct problems across early childhood, were more likely to initiate gun carriage prior to age 18
Examining whether racial differences in carrying were due to differential exposure to risk factors or differential sensitivity, study found more support for differential exposure, with 60% of the race effect on carriage being attributable to either initial peer delinquency levels or initial levels of conduct problems
Limited generalizability
Limited to male Black/White youth sample
Single city sample
Self-report data.
Small sample size may limit ability to detect group differences in gun carriage predictors
6
Beardslee et al. (2018b) Cohort
Pathway to Desistance Study: Youth surveyed every 6-month for 3 years then every 12-month for 4 years
1170 Male youth offenders recruited from court system in two counties; one in AZ (Maricopa) and one in PA (Philadelphia) Ages 14—19 at baseline
100% male.
42% Black
34% Hispanic
19% White
100% offenders
70% on active probation at baseline
Across 10 waves, carriage rates ranged from 15% (w1) to 10% (w10) with non-linear decrease; peak gun carriage was 17% at w7 data collection (i.e., 4 years after baseline; mean age 21)
Youth with gun violence exposure (witness/victim of gun violence) were 43% more likely to engage in gun carriage at the next wave after controlling for time-stable and time-varying (exposure to peers who carried; exposure to peers engaged in other criminal acts, developmental changes, changes in gun carrying from incarceration or institutionalization) covariates. No evidence that non-gun violence exposure conferred same risk
Limited generalizability
Male sample of juvenile offenders in two states
Self-report data
Youth offenders likely have fluctuations in carrying over time
6
Dong and Wiebe (2018) Cohort
NLSY97 administered annually between 1997 to 2011 and then biennially (16 waves)
1585 Youth living in urban areas (as defined by Census criteria) at wave 1 data collection Data from the 1997 Nat. Longitudinal Survey of Youth (NLSY97)
Age 14.27 (SD1.49)
76% Male
29% Black
26% Hispanic
44% White
27.1% lifetime handgun carriage incidence
4–6% past 12-month handgun carriage (at each wave)
Mean age of initiation of carriage = 18.2 years old
Temporary peak of carriage at age 15; decline during late adolescence until a steady increase in carriage at age 22
Participants carried for an average of 2.7 years
Urban Black/Hispanic youth were more likely to carry during late adolescence/early adulthood and less likely to carry than White youth during adulthood
Duration of carriage was associated with higher odds of violence perpetration (OR = 1.2) and selling drugs (OR = 1.2)
Persistent carriers (those carrying before and after age 18) had higher likelihood of arrest than adolescent carriers (IRR = 2.6)
Data could not distinguish between legal and illegal handgun carriage
Self-report data
Measures of adult drug sale and violent offending restricted to respondents reporting prior arrest; small comparison group
6
Lizotte et al. (1997) Cohort
Rochester Youth Survey administered at 6-month intervals (w1–9) then 2.5 years intervals (w 9–10)
615 Male youth recruited from Rochester public schools (7th/8th grade); High-crime areas (defined by arrest rates) oversampled M Age 15
100% male
63% Black
Analysis limited to male youth in the sample for w4 through w10
22% carried a gun at some point during any wave of the study;
6% carried a gun at w4 (age 15)
10% carried at w10 (age 20)
Overall carriage rate consistent across waves
Patterns of Carriage
Only 1/3 of subjects carried from one wave to another, suggesting intermittent carriage among participants
53% who reported carrying only carried in one wave
21% who reported carrying carried in 2 waves
26% who reported carrying carried for ≥ 3 waves
Self-report data
Sample limited to male youth
Oversampled high-crime areas, not involving suburban/rural sample
6
Loeber et al. (2004) Cohort
Developmental Trends Study with dyad (parent and their child) cohort administered at 12-month intervals for 13 years
177 Male children living with ≥ 1 biological parent referred from primary care clinics in either PA or GA Ages 7–12)
(baseline); followed annually to 19
30% Black
70% White
53% Urban
57% not living with biological father
41% from low SES
20% carried a gun at least once during the study
1% reported carrying a gun at age 12
12% carried carrying a gun at age 17
Earliest age of carriage was 10 years old (< 2%)

Patterns of Carriage
61% reported carrying for only 1 year
31% carried for 2-years
8% carried for 3–4 years
Limited generalizability
Small convenience sample referred from healthcare clinic
Self-report data.
Sample limited to male youth
7
Reid et al. (2017) Cohort
Pathways to Desistance Study, administered every 6 months for 2 years
1170 Convicted male youth offenders in PA and AZ (recruited from court setting). Proportion charged with drug offenses capped at 15% Ages 14–19
M age 16
100% male
42% Black
34% Hispanic
19% White
Among the 51% of youth who reported lifetime carriage:
57% carried during 1 period
25% during 2 periods
11% during 3 periods
6% during 4 periods
2% during all 5 periods
Limited generalizability
Sample limited to male offenders from two cities
Self-report data
6
Sheley (1994) Cross-sectional 758 Male students from 10 urban schools in 5 cities in CA, IL, LA, and NJ. All schools had prior firearm incidents M age 16
Range (age 15–17)
72% Black
3% White
19% Hispanic
12% of students carried a gun routinely (all/most of the time) with 23% reporting carriage intermittently (now/then)
Youth who used and sold drugs or only sold drugs but did not use drugs were more likely to carry routinely (19% vs. 5%, p < 0.05)
Cross-sectional data
Non-representative sample of urban youth (non-random)
Self-report data
4
Spano and Bolland (2011) Cohort
Mobile Youth Survey administered annually for 2 years
1049 Adolescents from 12 high-poverty neighborhoods in Mobile, Alabama were recruited from school, homes, community and church locations Age 9–19
M age 13 (T1)
42% male
100% Black (2000–2001)
Sample limited to those who were included in T2 and had not carried at T1
8% initiated gun carrying at T2 (past 90-day); Results support the nexus hypothesis (carriage occurs among a small number of gang youth at increased risk for violence behavior and exposure) over the diffusion hypothesis (gun carriage results directly from violence exposure) for initiation of gun carriage in urban youth
Youth gang members who were exposed to violence at T1 were more likely to initiate gun carriage at T2 (OR = 6.5)
Gang members engaged in violent behavior at T1 were more likely to initiate gun carriage at T2 (OR = 5.8)
Gang members who were engaged in violent behavior and had exposure to violence at T1 were more likely to initiate gun carriage at T2 (OR = 7.7)
High attrition rate (36%)
Focused on T1 factors predicting carriage initiation (T2)
Single 1-year follow-up
Limited generalizability 100% Black sample
Single city
Sample of at-risk youth
6
Spano et al. (2012) Cohort
Mobile Youth Survey administered annually for 2 years
1049 Adolescents from 12 high-poverty neighborhoods in Mobile, Alabama were recruited from school, homes, community and church locations Age 9–19
M age 13 (T1)
42% male.
100% Black
(2000–2001)
Sample limited to those who were included in T2 and had not carried at T1
8% initiated gun carrying at T2 (past 90-day); Key findings:
Consistent with the stepping stone model, youth engaged in violent behavior (T1) were more likely to initiate carriage at T2 after controlling for violence exposure (AOR = 1.8)
Consistent with the cumulative risk model, youth engaged in violent behavior and exposed to violence at T1 were more likely to initiate carriage at T2 compared to youth who had neither (AOR = 2.5)
High attrition rate (36%)
Focused on T1 factors predicting carriage initiation (T2)
Single one-year follow-up
Limited generalizability
100% Black sample
Single city,
Sample of at-risk youth
6
Spano and Bolland (2013) Cohort
Mobile Youth Survey administered annually for 2 years
1049 Adolescents from 12 high-poverty neighborhoods in Mobile, Alabama were recruited from school, homes, community and church locations Age 9–19
M age 13 (T1)
42% male.
100% Black
(2000–2001)
Sample limited to those who were included in T2 & had not carried at T1
8% initiated gun carrying at T2. Key findings:
Youth experiencing violent victimization (OR = 2.3) and violent behavior (OR = 1.9) at T1 increased the likelihood of initiating gun carriage at T2 when examined separately, but only violent victimization (OR = 2.1) was significant when both were included in the model
There was no difference between the likelihood of youth who initiated gun carriage at T2 for offensive (i.e., violent behavior only at T1) versus defensive (i.e., violent victimization only at T1) purposes
High attrition rate (36%)
Focused on T1 factors predicting carriage initiation (T2)
Single one-year follow-up
Limited generalizability
100% Black sample
Single city,
Sample of at-risk youth
7
Steinman and Zimmerman (2003) Cohort
Flint Adolescent Study administered annually for 4 years during high-school (9th-12th grade)
705 African-American public high school students with a GPA ≤ 3.0 at risk for school dropout M age 15
49% male
100% Black
Sample limited to Black students given low base rates of gun carriage among White students
Included youth who had left school
20% of youth reported carrying a gun (80% had never carried)
Patterns of carriage
15% carried episodically (during one or two waves)
5% carried persistently (during three or four waves)
Compared to non-carriers, episodic carriers were more likely male (AOR = 3.6), selling drugs (AOR = 3.2), engaging with adults who carry (AOR = 1.6), engaging in fighting behaviors (AOR = 1.6) and using marijuana (AOR = 1.03)
Compared to persistent carriers, episodic carriers were more likely engaging in fighting behaviors (AOR = 1.6) and selling drugs (AOR = 3.3)
Self-report measures.
Limited generalizability
Sample limited to Black youth
Study did not extend earlier than 9th grade so earlier risk and protective factors could not be examined
7
Vaughn et al. (2017) Cross-Sectional Analysis uses pooled data from the National Survey on Drug Use and Health 7872 Analysis of adolescents age 12–17 from the NSDUH national sample who reported past year gun carriage (2002–2013) Age
12–14: 40%
15–17: 60%
83% Male
15% Black
60% White
20% low SES
78%Urban
Latent class analysis (LCA) of handgun carrying (1 + times) adolescents identified 4-class solution:
“Low-Risk” (48%): Low substance use, violence, delinquency
“Alcohol/MJ users” (20%): High substance use, low levels of violence and delinquency
“Fighters” (20%): High levels of violence and delinquency, but low levels of MJ and other drug use
“Severe” (12%): High levels of alcohol, MJ, other drugs, violence and delinquency behaviors
Socio-demographics: Compared to other classes, the low risk class was made up of more rural White youth from high SES households with fathers. Alcohol/MJ users were more likely older (15–17) Black youth from urban settings. “Fighter” class was more likely younger (12–14) Black youth from low SES homes in urban settings. “Severe” class had highest % females (males still more common), and were from urban settings.
Behavioral: Compared to the low-risk group, youth in classes 2–4 were more likely to report greater risk propensity, greater parental conflict, and lower school engagement. This was most pronounced in the “severe” group. The Alcohol/MJ group and Severe group had lower levels of parental-limit setting
Frequency of gun carriage: Severe subset youth were more likely to carry frequently compared to the low risk (RR 1.5), alcohol/MJ class (RR 1.5), and fighter class (RR 1.4). No difference between first 3 classes for frequency. Class 4 (severe) had higher likelihood of lifetime and past year arrest
Cross sectional data
Self-report
Motivations not included
7
Watkins et al. (2008) Cross-sectional 967 338 adolescent males (age < 17) in detention; 629 adult male arrestees from Correctional Facilities in St. Louis, MO Adolescents
M age 15
100% Male
94% Black
Adults
M age 31
100% Male
87% Black
Adolescents:
46% reported carrying a gun outside of the home most/all of the time, 41% seldom carried (once per month), 13% had not carried in last year
Adults:
12% carried frequently (most/all of the time), 19% seldom (once per month), 69% not at all
Limited generalizability
Small sample of juvenile arrestees from a single city
Mostly Black sample
Self-report measures
Cross-sectional data
6