| Literature DB >> 34714337 |
Michael D Anestis1,2, Shelby L Bandel3, Allison E Bond3.
Abstract
Importance: Firearm access is associated with risk for suicide, and, since early 2020, the US has experienced an unprecedented surge in firearm sales. Objective: To assess frequency of suicidal ideation among individuals who purchased firearms during the surge period (surge purchasers), other firearm owners, and non-firearm owners. Design, Setting, and Participants: Cross-sectional online survey data were collected from January to June 2021. Participants were recruited via quota sampling through Qualtrics Panels. Within Minnesota, zip codes from Minneapolis and St Paul were oversampled. Participants included 6404 US adults recruited from 3 states: New Jersey (n = 3197), Minnesota (n = 1789), and Mississippi (n = 1418). Participants identified as becoming a first-time firearm owner during the surge period, being an established firearm owner who purchased a firearm during the surge period, being a firearm owner who did not buy firearms during the surge period, and not owning firearms. Main Outcomes and Measures: The primary outcomes were lifetime, past year, and past month suicidal ideation as measured by the Self-injurious Thoughts and Behaviors Interview-Revised.Entities:
Mesh:
Year: 2021 PMID: 34714337 PMCID: PMC8556615 DOI: 10.1001/jamanetworkopen.2021.32111
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Demographic Descriptive Statistics for the Full Sample and Each Statewide Subsample
| Characteristic | No. (%) | |||
|---|---|---|---|---|
| Full sample, (N = 6401) | New Jersey, (n = 3197) | Minnesota, (n = 1789) | Mississippi, (n = 1418) | |
| Age, mean (SD), y | 44.81 (18.5) | 45.63 (18.6) | 46.39 (19.0) | 40.95 (16.8) |
| Gender | ||||
| Male | 3132 (48.8) | 1567 (49.0) | 894 (49.8) | 670 (47.3) |
| Female | 3217 (50.2) | 1608 (50.3) | 881 (49.0) | 728 (51.3) |
| Transgender | 33 (0.5) | 11 (0.4) | 8 (0.5) | 13 (0.9) |
| Not male, female, or transgender | 32 (0.5) | 11 (0.4) | 13 (0.7) | 7 (0.5) |
| Sexual orientation | ||||
| Heterosexual | 5473 (85.4) | 2780 (86.9) | 1521 (84.6) | 1172 (82.7) |
| Gay or lesbian | 186 (2.9) | 96 (3.0) | 48 (2.7) | 42 (3.0) |
| Bisexual | 378 (5.9) | 160 (5.0) | 125 (6.9) | 93 (6.5) |
| Pansexual | 59 (0.9) | 22 (0.7) | 24 (1.4) | 12 (0.9) |
| Asexual | 44 (0.7) | 24 (0.7) | 11 (0.6) | 10 (0.7) |
| Other | 66 (1.0) | 26 (0.8) | 18 (1.0) | 23 (1.6) |
| Do not wish to disclose | 201 (3.1) | 87 (2.7) | 51 (2.8) | 64 (4.5) |
| Ethnicity | ||||
| Hispanic/Latinx | 569 (8.9) | 417 (13.1) | 95 (5.3) | 57 (4.0) |
| Racial identity | ||||
| American Indian/Alaskan Native | 138 (2.2) | 44 (1.4) | 51 (2.9) | 43 (3.0) |
| Asian | 412 (6.4) | 289 (9.0) | 93 (5.2) | 30 (2.1) |
| Black/African American | 1086 (16.9) | 459 (14.4) | 133 (7.4) | 494 (34.8) |
| Native Hawaiian/other Pacific Islander | 40 (0.6) | 18 (0.6) | 15 (0.8) | 7 (0.5) |
| White | 4706 (73.4) | 2325 (72.7) | 1516 (84.3) | 866 (61.0) |
| Other | 220 (3.4) | 151 (4.7) | 49 (2.7) | 21 (1.5) |
| Education | ||||
| Less than high school | 191 (3.0) | 71 (2.2) | 57 (3.1) | 63 (4.4) |
| High school diploma or equivalent | 2469 (38.5) | 1160 (36.3) | 701 (39.0) | 609 (42.9) |
| Associate’s degree | 1097 (17.1) | 445 (13.9) | 376 (20.9) | 277 (19.5) |
| Bachelor’s degree | 1472 (23.0) | 814 (25.5) | 428 (23.8) | 230 (16.2) |
| Master’s degree | 949 (14.8) | 582 (18.2) | 182 (10.2) | 184 (13.0) |
| Doctoral/professional degree | 235 (3.7) | 125 (3.9) | 53 (3.0) | 56 (3.9) |
| Annual household income, $ | ||||
| <10 000 | 560 (8.7) | 214 (6.7) | 127 (7.0) | 220 (15.5) |
| 10 000-49 999 | 2114 (33.0) | 840 (26.2) | 618 (34.4) | 657 (46.1) |
| 50 000-99 999 | 1851 (28.8) | 956 (29.9) | 571 (31.7) | 323 (22.9) |
| ≥100 000 | 1887 (29.5) | 1186 (37.1) | 482 (26.8) | 185 (15.4) |
| Current firearm owner | 1546 (24.1) | 495 (15.5) | 522 (29.1) | 528 (37.3) |
| Purchased firearm since March 2020 | 560 (8.7) | 233 (7.3) | 135 (7.5) | 192 (13.5) |
| First-time firearm purchasers since March 2020 | 321 (57.5) | 157 (67.9) | 61 (45.3) | 103 (53.6) |
| Suicidal ideation | ||||
| Lifetime | 2257 (35.2) | 1038 (32.5) | 608 (33.8) | 611 (43.1) |
| Past year | 1549 (24.2) | 703 (22.0) | 420 (23.4) | 425 (30.0) |
| Past month | 738 (11.5) | 315 (9.9) | 192 (10.7) | 231 (16.3) |
Data presented in Table 1 represent weighted percentages.
Logistic Regressions Examining the Association Between Firearm Ownership Group (Surge Purchaser, Non–Surge Firearm Owners, Non–Firearm Owners) and Suicidal Ideation (Lifetime, Past Year, Past Month) Within the Full Sample
| Characteristic | b (SE) | OR (95% CI) |
|---|---|---|
|
| ||
| Age | −0.04 (0.00) | 0.96 (0.96 to 0.97) |
| Black | −0.12 0(.01) | 0.89 (0.73 to 1.08) |
| White | 0.23 (0.09) | 1.26 (1.06 to 1.50) |
| Sex | 0.16 (0.06) | 1.17 (1.06 to 1.31) |
| Annual household income | −0.06 (0.01) | 0.94 (0.93 to 0.96) |
| Past 12-mo job loss | 0.45 (0.07) | 1.57 (1.36 to 1.82) |
| Essential worker | 0.23 (0.07) | 1.26 (1.12 to 1.41) |
| Firearm purchaser status | ||
| Non–surge firearm owners | 0.03 (0.08) | 1.03 (.88 to 1.21) |
| Surge firearm purchasers | 0.79 (0.10) | 2.21 (1.82 to 2.68) |
|
| ||
| Age | −0.04 (0.00) | 0.96 (0.96 to 0.96) |
| Black | −0.08 (0.11) | 0.92 (0.75 to 1.14) |
| White | 0.30 (0.10) | 1.35 (1.12 to 1.62) |
| Sex | 0.04 (0.07) | 1.04 (0.92 to 1.18) |
| Annual household income | −0.05 (0.01) | 0.95 (0.93 to 0.97) |
| Past 12-mo job loss | 0.41 (0.08) | 1.50 (1.29 to 1.75) |
| Essential worker | 0.16 (0.07) | 1.18 (1.04 to 1.34) |
| Firearm purchaser status | ||
| Non–surge firearm owners | −0.08 (0.09) | 0.93 (0.77 to 1.11) |
| Surge firearm purchasers | 0.74 (0.10) | 2.10 (1.72 to 2.55) |
|
| ||
| Age | −0.04 (0) | 0.96 (0.95 to 0.96) |
| Black | −0.08 (0.13) | .93 (0.71 to 1.20) |
| White | 0.19 (0.12) | 1.21 (0.96 to 1.53) |
| Sex | 0.05 (0.09) | 1.05 (0.89 to 1.24) |
| Annual household income | −0.07 (0.01) | 0.93 (0.91 to 0.95) |
| Past 12-mo job loss | 0.38 (0.09) | 1.47 (1.22 to 1.77) |
| Essential worker | 0.27 (0.08) | 1.31 (1.11 to 1.55) |
| Firearm purchaser status | ||
| Non–surge firearm owners | −0.28 (0.14) | 0.76 (0.58 to 0.99) |
| Surge firearm purchasers | 0.59 (0.12) | 1.80 (1.41 to 2.29) |
Abbreviation: OR, odds ratio.
Logistic Regressions Examining the Association Between Surge Purchaser Group (First-Time Firearm Owner, Established Firearm Owner) and Suicidal Ideation (Lifetime, Past Year, Past Month) Within the Full Sample
| Characteristic | b (SE) | OR (95% CI) |
|---|---|---|
|
| ||
| Age | −0.03 (0.01) | 0.97 (0.95 to 0.98) |
| Black | −0.21 (0.37) | 0.81 (0.40 to 1.66) |
| White | −0.63 (0.33) | 0.54 (0.28 to 1.01) |
| Sex | −0.37 (0.22) | 0.69 (0.45 to 1.06) |
| Annual household income | 0.02 (0.03) | 1.02 (0.96 to 1.09) |
| Past 12-mo job loss | 1.87 (0.28) | 6.47 (3.71 to 11.30) |
| Essential worker | 0.07 (0.21) | 1.07 (0.71 to 1.62) |
| First-time firearm owner vs established firearm owner | 0.75 (0.20) | 2.12 (1.43 to 3.14) |
|
| ||
| Age | −0.04 (0.01) | 0.97 (0.95 to 0.98) |
| Black | 0.35 (0.34) | 1.41 (0.73 to 2.74) |
| White | −0.14 (0.31) | 0.87 (0.48 to 1.58) |
| Sex | −0.49 (0.22) | 0.61 (0.40 to 0.93) |
| Annual household income | 0.04 (0.03) | 1.04 (0.98 to 1.11) |
| Past 12-mo job loss | 1.25 (0.23) | 3.49 (2.21 to 5.50) |
| Essential worker | 0.08 (0.21) | 1.08 (.71 to 1.64) |
| First-time firearm owner vs established firearm owner | 0.86 (0.20) | 2.37 (1.59 to 3.53) |
|
| ||
| Age | −0.03 (0.01) | 0.98 (0.96 to 1.00) |
| Black | 0.06 (0.36) | 1.06 (0.52 to 2.17) |
| White | −0.29 (0.34) | 0.75 (0.39 to 1.45) |
| Sex | −0.04 (0.24) | 0.96 (0.60 to 1.56) |
| Annual household income | 0.03 (0.04) | 1.03 (0.96 to 1.11) |
| Past 12-mo job loss | 0.90 (0.25) | 2.46 (1.52 to 3.97) |
| Essential worker | 0.08 (0.25) | 1.08 (0.66 to 1.76) |
| First-time firearm owner vs established firearm owner | 0.32 (0.24) | 1.38 (0.86 to 2.21) |
Abbreviation: OR, odds ratio.
Given differences between the 3 states in terms of rurality, zip code data was recoded to calculate population density, which was then used to categorize rural or urban status. In univariate analyses, rural or urban status was associated with all 3 suicidal ideation outcomes as well as with the firearm groups. Primary analyses were rerun including this variable as a covariate. In these multivariate analyses, the results were unchanged, and rural or urban status was not associated with any outcome. Thus, the variable in the primary analyses was not included.