| Literature DB >> 34735012 |
Jillian Peterson1, Gina Erickson1, Kyle Knapp2, James Densley3.
Abstract
Importance: Understanding the motivation of a mass shooter's intent to do harm can help practitioners and policy makers develop more effective intervention strategies. Objective: To examine the prevalence of communication of intent to do harm, known as leakage, in a sample of 170 mass public shooters from 1966 to 2019; the characteristics of perpetrators who do and do not leak their plans; and whether leakage is a form of fame-seeking behavior or a cry for help among individuals who are in crisis or suicidal. Design, Setting, and Participants: This cross-sectional study included perpetrators who killed 4 or more people in a public space from 1996 to 2019 and were included in a comprehensive database of US mass shootings. That database was built from August 2017 to December 2019, and analysis took place from January to May 2021. Main Outcomes and Measures: Leakage was identified and coded using publicly available records. Any communication to a third party of an intent to do harm prior to the shooting was coded as leakage. Logistic regression models were used to examine the risk factors associated with leakage. Models estimating leakage were examined to assess the 2 hypothesized pathways to leakage (the cry-for-help model and the fame-seeking model).Entities:
Mesh:
Year: 2021 PMID: 34735012 PMCID: PMC8569489 DOI: 10.1001/jamanetworkopen.2021.33073
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Leakage Among Mass Shooters in the United States, 1966-2019
| Characteristic | Perpetrators, No. (%) (N = 170) |
|---|---|
| Leakage | |
| Yes | 79 (46.5) |
| No | 91 (53.5) |
| Mode of leakage | |
| In person | 52 (65.8) |
| Letter | 3 (3.8) |
| Other writing | 5 (6.3) |
| Telephone or text message | 6 (12.7) |
| Online | 10 (13.0) |
| Other | 3 (3.8) |
| Who leaked to | |
| Mental health professional | 3 (3.8) |
| Immediate family | 6 (7.6) |
| Wife or girlfriend | 14 (17.7) |
| Police | 2 (2.5) |
| Coworker or boss | 15 (19.0) |
| Friend or neighbor | 8 (10.1) |
| Classmate | 7 (8.9) |
| Teacher or staff member | 2 (2.5) |
| Bartender or waitress | 5 (6.3) |
| Other | 17 (21.5) |
| Type of leakage | |
| Specific | 35 (44.3) |
| Nonspecific | 44 (55.7) |
For mode of leakage, who leaked to, and type of leakage, the denominator was 79, ie, the perpetrators who leaked their plans.
Bivariate Results of Factors Associated With Leakage Among Perpetrators of Mass Shootings in the United States, 1966-2019
| Characteristic | No. (N = 170) | Perpetrator, No. (%) | χ2 (df) | Missing cases, No. (% imputed) | |
|---|---|---|---|---|---|
| Did not leak (n = 91) | Leaked (n = 79) | ||||
| Age | |||||
| ≥21 y | 149 | 88 (59.1) | 61 (40.9) | 14.8 (1) | NA |
| ≤20 y | 21 | 3 (14.3) | 18 (85.7) | ||
| Location | |||||
| K-12 school | 13 | 1 (7.7) | 12 (92.3) | 19.9 (8) | NA |
| College | 9 | 5 (55.6) | 4 (44.4) | ||
| Government | 6 | 4 (66.7) | 2 (33.3) | ||
| Place of worship | 11 | 5 (45.5) | 6 (54.6) | ||
| Retail | 29 | 14 (48.3) | 15 (51.7) | ||
| Restaurant/club | 22 | 15 (68.2) | 7 (31.8) | ||
| Workplace | 52 | 27 (51.9) | 25 (48.1) | ||
| Other | 14 | 8 (57.1) | 6 (42.9) | ||
| Outdoors | 14 | 12 (85.7) | 2 (14.3) | ||
| Race | |||||
| White | 89 | 41 (46.1) | 48 (53.9) | 4.1 (1) | NA |
| Other | 81 | 50 (61.7) | 31 (38.3) | ||
| Suicidality | |||||
| None | 47 | 32 (68.1) | 15 (31.9) | 12.5 (2) | NA |
| Suicidal before | 53 | 18 (34.0) | 35 (66.0) | ||
| Intended to die | 68 | 39 (57.4) | 29 (42.7) | ||
| Depression | 51 | 20 (39.2) | 31 (60.8) | 6.00 (1) | NA |
| Prior counseling | 49 | 13 (26.5) | 36 (73.5) | 21.3 (1) | 2 (1.2) |
| Psychosis | 51 | 34 (66.7) | 17 (33.3) | 5.2 (1) | NA |
| Psychiatric medication | 39 | 16 (41.0) | 23 (59.0) | 3.6 (1) | 4 (2.4) |
| Social media use | 41 | 14 (34.2) | 27 (65.9) | 7.7 (1) | 2 (1.2) |
| Planning | 46 | 16 (34.8) | 30 (65.2) | 9.2 (1) | 1 (0.6) |
| Performance | 17 | 5 (29.4) | 12 (70.6) | 4.4 (1) | NA |
| Interest in past mass violence | 40 | 13 (32.5) | 27 (67.5) | 9.7 (1) | 3 (1.8) |
| Fame-seeking motive | 12 | 4 (33.3) | 8 (66.7) | 2.1 (1) | NA |
Abbreviations: K-12, kindergarten through 12th grade; NA, not applicable.
P < .001.
P < .05.
Other race includes Asian, Black, Latinx, Middle Eastern, and Native American individuals.
P < .01.
Multivariable Results
| Factor | Model 1: baseline | Model 2: cry for help | Model 3: fame seeking | |||
|---|---|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | OR (95% CI) | ||||
| Shooter aged ≤20 y | 13.3 (2.8-63.7) | .001 | 4.4 (0.8-25.0) | .09 | 11.9 (2.3-61.4) | .003 |
| Shooter identified as race/ethnicity other than White | 0.4 (0.2-0.9) | .02 | 0.4 (0.2-1.2) | .10 | 0.4 (0.2-1.0) | .06 |
| Location | ||||||
| School or college | 4.5 (1.1-17.7) | .03 | 4.6 (0.8-26.4) | .08 | 2.4 (0.5-13.0) | .30 |
| Workplace | 3.0 (1.2-7.6) | .02 | 3.5 (1.2-10.2) | .02 | 2.8 (1.1-7.6) | .04 |
| Region | ||||||
| South | 1.8 (0.6-6.0) | .32 | 1.9 (0.5-7.5) | .36 | 1.2 (0.3-4.2) | .79 |
| Northeast | 0.2 (0.3-0.8) | .03 | 0.1 (0.0-0.9) | .04 | 0.1 (0.0-0.6) | .009 |
| West | 0.5 (0.1-1.8) | .30 | 0.4 (0.1-1.9) | .27 | 0.4 (0.1-1.5) | .16 |
| Suicidality | ||||||
| Suicidal before | NA | NA | 3.7 (1.0-13.6) | .047 | NA | NA |
| Intended to die | NA | NA | 1.5 (0.5-4.9) | .48 | NA | NA |
| Depressed mood | NA | NA | 1.2 (0.4-3.1) | .74 | NA | NA |
| Prior counseling | NA | NA | 7.0 (2.0-24.8) | .003 | NA | NA |
| Psychosis | NA | NA | 0.3 (0.1-0.8) | .02 | NA | NA |
| Psychiatric medication | NA | NA | 1.0 (0.3-4.1) | .96 | 1.7 (0.4-7.6) | .46 |
| Social media use | NA | NA | NA | NA | 3.1 (0.9-11.0) | .08 |
| Planning | NA | NA | NA | NA | 1.3 (0.2-8.3) | .77 |
| Performance | NA | NA | NA | NA | 2.0 (0.5-7.6) | .29 |
| Interest in past mass violence | NA | NA | NA | NA | 0.3 (0.0-2.4) | .25 |
| Fame-seeking motive | NA | NA | NA | NA | 11.9 (2.3-61.4) | .003 |
Abbreviations: NA, not applicable; OR, odds ratio.
All models control for year the shooting took place.