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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0322116</journal-id><journal-id journal-id-type="pubmed-jr-id">6595</journal-id><journal-id journal-id-type="nlm-ta">Prev Med</journal-id><journal-id journal-id-type="iso-abbrev">Prev Med</journal-id><journal-title-group><journal-title>Preventive medicine</journal-title></journal-title-group><issn pub-type="ppub">0091-7435</issn><issn pub-type="epub">1096-0260</issn></journal-meta><article-meta><article-id pub-id-type="pmid">39232991</article-id><article-id pub-id-type="pmc">11831924</article-id><article-id pub-id-type="doi">10.1016/j.ypmed.2024.108124</article-id><article-id pub-id-type="manuscript">HHSPA2048854</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Firearm violence and associated factors among young adults presenting to emergency departments in three cities: Baseline results from Project SPARK</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Goldstick</surname><given-names>Jason E.</given-names></name><xref rid="A1" ref-type="aff">a</xref><xref rid="A2" ref-type="aff">b</xref><xref rid="A3" ref-type="aff">c</xref><xref rid="A4" ref-type="aff">d</xref><xref rid="CR1" ref-type="corresp">*</xref></contrib><contrib contrib-type="author"><name><surname>Carter</surname><given-names>Patrick M.</given-names></name><xref rid="A1" ref-type="aff">a</xref><xref rid="A2" ref-type="aff">b</xref><xref rid="A3" ref-type="aff">c</xref><xref rid="A4" ref-type="aff">d</xref></contrib><contrib contrib-type="author"><name><surname>Whiteside</surname><given-names>Lauren</given-names></name><xref rid="A5" ref-type="aff">e</xref></contrib><contrib contrib-type="author"><name><surname>Delgado</surname><given-names>M. Kit</given-names></name><xref rid="A6" ref-type="aff">f</xref></contrib><contrib contrib-type="author"><name><surname>Stallworth</surname><given-names>Philip</given-names></name><xref rid="A1" ref-type="aff">a</xref><xref rid="A2" ref-type="aff">b</xref><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Sullivan</surname><given-names>Keara</given-names></name><xref rid="A1" ref-type="aff">a</xref><xref rid="A3" ref-type="aff">c</xref></contrib><contrib contrib-type="author"><name><surname>Childs</surname><given-names>Maya</given-names></name><xref rid="A6" ref-type="aff">f</xref></contrib><contrib contrib-type="author"><name><surname>Taga</surname><given-names>Sarah</given-names></name><xref rid="A5" ref-type="aff">e</xref></contrib><contrib contrib-type="author"><name><surname>Cunningham</surname><given-names>Rebecca M.</given-names></name><xref rid="A1" ref-type="aff">a</xref><xref rid="A2" ref-type="aff">b</xref><xref rid="A3" ref-type="aff">c</xref><xref rid="A4" ref-type="aff">d</xref></contrib></contrib-group><aff id="A1"><label>a</label>Injury Prevention Center, University of Michigan, 2800 Plymouth Road, Suite B10-G080, Ann Arbor, MI, United States of America</aff><aff id="A2"><label>b</label>Institute for Firearm Injury Prevention, University of Michigan, 1109 Geddes Ave, Ann Arbor, MI, United States of America</aff><aff id="A3"><label>c</label>Department of Emergency Medicine, University of Michigan, 1500 E Medical Center Drive, Ann Arbor, MI, United States of America</aff><aff id="A4"><label>d</label>Department of Health Behavior and Health Education, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, United States of America</aff><aff id="A5"><label>e</label>School of Medicine, Department of Emergency Medicine, University of Washington, Seattle, WA, United States of America</aff><aff id="A6"><label>f</label>Department of Emergency Medicine, University of Pennsylvania, Philadelphia, PA, United States of America</aff><author-notes><corresp id="CR1"><label>*</label>Corresponding author at: Injury Prevention Center, University of Michigan, 2800 Plymouth Road, Suite B10-G080, Ann Arbor, MI 48109-2800, United States of America, <email>jasoneg@umich.edu</email> (J.E. Goldstick).</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>9</day><month>2</month><year>2025</year></pub-date><pub-date pub-type="ppub"><month>12</month><year>2024</year></pub-date><pub-date pub-type="epub"><day>02</day><month>9</month><year>2024</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>12</month><year>2025</year></pub-date><volume>189</volume><fpage>108124</fpage><lpage>108124</lpage><abstract id="ABS1"><sec id="S1"><title>Objective:</title><p id="P1">Recent shifts in U.S. violence dynamics call for updated violence epidemiology among general emergency department (ED) samples of young adults. Using baseline data from a multi-site longitudinal study of firearm violence prediction, we describe violence rates and associated factors.</p></sec><sec id="S2"><title>Methods:</title><p id="P2">Staff approached age 18&#x02013;24 entrants to Level-1 trauma centers in three cities (Flint, Seattle, Philadelphia; 7/2021&#x02013;5/2023). Consenting participants completed a survey including validated measures of violence experience, firearm-related behaviors, substance use, mental health symptoms, peer/parental/familial behaviors, community violence, and attitudes/norms. We described the sample and examined factors associated with firearm assault (victimization/aggression, including threats).</p></sec><sec id="S3"><title>Results:</title><p id="P3">Across sites, 1506 participants enrolled (41.7. % Black; 33.6 % White; 61.4. % female). Half of participants self-reported past-six-month violent victimization and/or aggression; non-partner violence, and violent victimization were most common. Over half of participants self-reported high-risk substance use, and over half screened positive for post-traumatic stress disorder, depression, and/or anxiety. About 14.4 % self-reported past-six-month firearm assault, and 5.9 % self-reported firearm violence (excluding threats). Adjusted analysis showed community violence exposure was most strongly associated with firearm assault; each one-pointincrease corresponded to a 13.7 % (95 %CI: 10.4 %&#x02013;16.9 %) absolute increase in firearm assault prevalence. Drug misuse, mental health symptoms, firearm carrying, retaliatory attitudes, prosocial attitudes, and family conflict were also associated with firearm assault.</p></sec><sec id="S4"><title>Conclusions:</title><p id="P4">Violence, including firearm assault, is common among young adults entering urban EDs, and is associated with several psychosocial factors. High rates of substance use and mental health symptoms underscore this as a high-need population. Leveraging this information could help tailor interventions and optimize resource allocation.</p></sec></abstract></article-meta></front><body><sec id="S5"><label>1.</label><title>Introduction</title><p id="P5">Interpersonal violence is a leading cause of both fatal (<xref rid="R10" ref-type="bibr">Centers for Disease Control and Prevention (CDC), 2024a</xref>) and nonfatal (<xref rid="R11" ref-type="bibr">Centers for Disease Control and Prevention (CDC), 2024b</xref>) injuries among children and young adults in the United States. Firearm injuries, specifically, disproportionately affects younger Americans, both with regard to fatal and nonfatal injuries (<xref rid="R24" ref-type="bibr">Goldstick et al., 2021</xref>; <xref rid="R22" ref-type="bibr">Goldstick et al., 2019a</xref>; <xref rid="R29" ref-type="bibr">Kaufman et al., 2021</xref>). Moreover, violence among children and young adults is a critical driver of health disparities, with racial and sexual minorities showing substantially higher rates of violence injuries (<xref rid="R12" ref-type="bibr">Centers for Disease Control and Prevention (CDC), 2024c</xref>). Those trends extend to firearm violence as well with, for example, Black and Hispanic White Americans showing substantially higher rates of firearm deaths than their Non-Hispanic White counterparts (<xref rid="R38" ref-type="bibr">Rees et al., 2022</xref>; <xref rid="R47" ref-type="bibr">Vargas et al., 2023</xref>). These disparities reflect broader structural inequalities and non-uniform distribution of social determinants of health (<xref rid="R19" ref-type="bibr">Degli Esposti et al., 2022</xref>; <xref rid="R30" ref-type="bibr">Kim, 2019</xref>). These facts collectively point to a critical need to leverage all opportunities to reduce youth violence, and firearm violence specifically, and the correspondent health disparities.</p><p id="P6">Urban emergency departments (EDs) are an important touch point for young people at high risk for violence. Adolescents and young adults entering the ED consistently show higher rates of violence than the general population; for example, the proportion of high school youth reporting past-year fighting has decreased (e.g., 33.2 % in 2001; 18.3 % in 2021) (<xref rid="R8" ref-type="bibr">Centers for Disease Control and Prevention (CDC), 1991&#x02013;2021</xref>), but up to three quarters of adolescents entering the ED report peer violence (<xref rid="R48" ref-type="bibr">Walton et al., 2009</xref>), including over half of those not presenting for assault-related injuries (<xref rid="R3" ref-type="bibr">Bohnert et al., 2015</xref>). Furthermore, young people presenting to the ED for violence injuries are at substantial risk for violent re-injury, with over one-third returning within two years, and nearly one-fourth of those presenting for other reasons returned within a year (<xref rid="R18" ref-type="bibr">Cunningham et al., 2015</xref>). Not only are adolescents and young adults presenting to the ED at elevated risk for violence, but the visit itself may represent an opportunity to catalyze behavior change. Prior research supports this supposition, with previous successes of ED-based interventions for violence (<xref rid="R49" ref-type="bibr">Walton et al., 2010</xref>; <xref rid="R16" ref-type="bibr">Cunningham et al., 2012</xref>; <xref rid="R17" ref-type="bibr">Cunningham et al., 2013</xref>), and health behaviors such as alcohol use (<xref rid="R1" ref-type="bibr">Barata et al., 2017</xref>; <xref rid="R20" ref-type="bibr">Gentilello et al., 2005</xref>), and other drug use (<xref rid="R2" ref-type="bibr">Bogenschutz et al., 2014</xref>; <xref rid="R32" ref-type="bibr">Madras et al., 2009</xref>).</p><p id="P7">While ED-based violence epidemiology has been studied previously (<xref rid="R18" ref-type="bibr">Cunningham et al., 2015</xref>; <xref rid="R5" ref-type="bibr">Carter et al., 2015</xref>; <xref rid="R15" ref-type="bibr">Cunningham et al., 2009</xref>; <xref rid="R50" ref-type="bibr">Wiebe et al., 2011</xref>; <xref rid="R37" ref-type="bibr">Ranney et al., 2016</xref>), violence dynamics in the U.S. have shifted in recent years&#x02014;including firearm violence specifically. Violence mortality has sharply increased in recent years, with rates increasing 23.6 % from 2014 to 2021, driven largely by increases in homicides, which have increased 58.5 % during that time (<xref rid="R13" ref-type="bibr">Centers for Disease Control and Prevention (CDC), 2024d</xref>). Although violence mortality rates are uniformly higher across most age groups in 2021 (e. g., relative to 2014), these changes are largest among young people (<xref rid="R13" ref-type="bibr">Centers for Disease Control and Prevention (CDC), 2024d</xref>). Trends in firearm violence have been analogous, but more pronounced, increasing 41.7 % from 2014 to 2021, with a correspondent increase of 83.9 % among firearm homicides (<xref rid="R13" ref-type="bibr">Centers for Disease Control and Prevention (CDC), 2024d</xref>). Similarly, increases in firearm deaths are most pronounced among young people, as more gravely reflected by the fact that firearm deaths recently overtook motor vehicle crash deaths as the leading cause of death among children and young adults (<xref rid="R25" ref-type="bibr">Goldstick et al., 2022</xref>). Taken together, this suggests it is critical to update violence rates&#x02014;and associated factors&#x02014;among young people presenting to the ED.</p><p id="P8">In this report, we describe baseline results from the Screening to Predict Young Adults at Risk for Firearm Violence (SPARK) project, a multi-site prospective longitudinal study of young adults entering the ED that aims to externally validate and improve the SaFETy (Serious fighting, Friend weapon carrying, community Environment, and firearm Threats) score (<xref rid="R21" ref-type="bibr">Goldstick et al., 2017</xref>), a four-item screen tool derived to predict future firearm violence risk in the ED. We began by describing rates of different types of violence, substance use, and mental health symptoms. Next, we estimated how sociodemographic, community, and substance use/mental health factors were associated with recent firearm assault experience (shot or threatened, as victim or aggressor). We hypothesized that violence rates among a general ED sample of young adults would be high, and that firearm assault is associated with a number of psychosocial factors measured in the baseline survey.</p></sec><sec id="S6"><label>2.</label><title>Methods</title><sec id="S7"><label>2.1.</label><title>Study design and setting</title><p id="P9">SPARK is a prospective longitudinal study of young adults (age 18&#x02013;24) presenting to one of four Level-1 trauma centers in three cities&#x02014;Philadelphia, Seattle, and Flint. Individuals age 18&#x02013;24 that spoke English and were medically and cognitively able to provide consent were eligible; those requiring intensive psychosocial services (e.g., presenting for sexual assault, psychosis, active suicidal ideation) or in active police custody were ineligible. Study staff also did not approach individuals with droplet precautions (e.g., for COVID-19). Recruiters identified potentially eligible participants using the electronic health record and approached them in waiting or treatment areas. Eligible participants that signed consent forms were enrolled in the study, which includes ~25&#x02013;30 min surveys at baseline, 6-months, and 12-months, and prospective medical chart reviews to identify any violence-related injuries occurring in the year following their baseline date. Participants were remunerated $40 for completing the baseline survey. Recruitment in Seattle occurred from 8/26/2021&#x02013;5/25/2023, in Philadelphia from 7/26/2021&#x02013;5/31/2023, and in Flint from 1/24/2022&#x02013;5/9/2023. A certificate of confidentiality was obtained, and all procedures were approved by the parent IRB (University of Michigan) and the IRB&#x02019;s of the University of Washington and the University of Pennsylvania.</p></sec><sec id="S8"><label>2.2.</label><title>Measures</title><p id="P10">We measured past-six-month violence experience using the modified Conflict Tactics Scale (<xref rid="R43" ref-type="bibr">Straus et al., 1996</xref>), which queries frequency of eleven different violence exposures, separately for victimization and aggression, and for partner and non-partner violence. We classified violence into three levels&#x02014;moderate (e.g., pushed/grabbed/shoved, threw something, slapped), severe non-firearm violence (kicked/bit/hit, hit with something, beat up, choked, threatened or attacked with a knife), and firearm assault (which includes both violence <italic toggle="yes">and</italic> firearm threats). We also report the percent self-reporting firearm violence (excluding threats). These measures were all presented as binary indicators of any past-six-month exposure.</p><p id="P11">In addition to age, race, and gender, measured as described elsewhere (<xref rid="R46" ref-type="bibr">The GenIUSS Group, 2024</xref>) to include gender minorities, several other domains of variables were measured using validated instruments:
<list list-type="bullet" id="L2"><list-item><p id="P12"><underline><italic toggle="yes">Alcohol use</italic></underline>: The Alcohol Use Disorder Identification Test (AUDIT-C) three-item questionnaire (<xref rid="R14" ref-type="bibr">Chung et al., 2000</xref>) measured past-sixmonth alcohol use, risky use (AUDIT-C &#x02265; 4 among men; &#x02265;3 among women)</p></list-item><list-item><p id="P13"><underline><italic toggle="yes">Drug use</italic></underline>: We measured past-six-month cannabis use, other illicit drug use (cocaine, street opioids, methamphetamine, inhalants, hallucinogens), and non-medical prescription drug use (sedatives, opioids, stimulants) using the National Institute on Drug Abuse (NIDA) modified Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) (<xref rid="R34" ref-type="bibr">National Institute on Drug Abuse (NIDA), 2024</xref>), summarized risky use (defined by ASSIST&#x02265;4 on a given substance) (<xref rid="R34" ref-type="bibr">National Institute on Drug Abuse (NIDA), 2024</xref>).</p></list-item><list-item><p id="P14"><underline><italic toggle="yes">Mental health symptoms</italic></underline>: We measured depression using the Patient Health Questionnaire-9 (PHQ-9) (<xref rid="R39" ref-type="bibr">Richardson et al., 2010</xref>), anxiety using the Generalized Anxiety Disorder (GAD-7) questionnaire (<xref rid="R42" ref-type="bibr">Spitzer et al., 2006</xref>), and post-traumatic stress disorder (PTSD) using the PTSD Checklist-17 (PCL-17) (<xref rid="R31" ref-type="bibr">Lang and Stein, 2005</xref>), and summarized them as a binary indicator of a positive screen, using cut points of 10, 10, and 30, respectively, for the total scores. Past two-week suicidal ideation was ascertained using one item from the Columbia Suicide Severity Rating Scale (<xref rid="R35" ref-type="bibr">Posner et al., 2011</xref>) (&#x0201c;In the past two weeks, have you actually had any thoughts of killing yourself?&#x0201d;).</p></list-item><list-item><p id="P15"><underline><italic toggle="yes">Firearms in car/household and firearm carrying</italic></underline>: The past-six-month and lifetime indicator of having firearms in ones car/household was queried using an adapted item from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System (<xref rid="R9" ref-type="bibr">Centers for Disease Control and Prevention (CDC), 2021</xref>) (e.g., changing &#x0201c;Are there any&#x0201d; to &#x0201c;Have you ever, at any time in your life, kept a firearm in your home or the car, van, or truck you usually drive&#x0201d;). Similarly modified measures queried past-six-month firearm carrying frequency on a seven-point scale taking values of zero (&#x0201c;Never&#x0201d;), one (&#x0201c;Once&#x0201d;), two (&#x0201c;Twice&#x0201d;), three (&#x0201c;3&#x02013;5 times&#x0201d;), four (&#x0201c;6&#x02013;10 times&#x0201d;), five (&#x0201c;11&#x02013;20 times&#x0201d;), and six (&#x0201c;20+ times).</p></list-item><list-item><p id="P16"><underline><italic toggle="yes">Peer behaviors</italic></underline>: Four items on positive peer behaviors (e.g., college attendance) and seven items negative peer behaviors (e.g., fighting, substance use) were taken from the Flint Adolescent Study (<xref rid="R51" ref-type="bibr">Zimmerman et al., 2002</xref>). Both scales were summarized by the mean of the items comprising it. Each scale ranges from zero to four.</p></list-item><list-item><p id="P17"><underline><italic toggle="yes">Peer/parental support</italic></underline>: Peer support was measured by the average of three items from the Flint Adolescent Study (<xref rid="R51" ref-type="bibr">Zimmerman et al., 2002</xref>), and parental support was measured by the average of six items from Procidano and Heller&#x02019;s social support scale (<xref rid="R36" ref-type="bibr">Procidano and Heller, 1983</xref>). Each scale ranges from one to five.</p></list-item><list-item><p id="P18"><underline><italic toggle="yes">Family conflict</italic></underline>: The mean of five items from the Flint Adolescent Study (<xref rid="R51" ref-type="bibr">Zimmerman et al., 2002</xref>) measured level of family conflict. This scale ranges from one to four.</p></list-item><list-item><p id="P19"><underline><italic toggle="yes">Adverse childhood experiences (ACEs)</italic></underline>: We queried eight ACEs using items from the National Survey on Child Health (<xref rid="R45" ref-type="bibr">The Child and Adolescent Health Measurement Initiative (CAHMI), 2024</xref>), summarized as the number of ACEs reported, resulting in a number from zero to eight.</p></list-item><list-item><p id="P20"><underline><italic toggle="yes">Community exposures</italic></underline>: The average of fourteen items from the &#x0201c;Things I&#x02019;ve seen and heard&#x0201d; survey (<xref rid="R40" ref-type="bibr">Richters and Saltzman, 1990</xref>) measured past-six-month crime and violence exposures in the respondent&#x02019;s neighborhood. This average ranges from zero to three.</p></list-item><list-item><p id="P21"><underline><italic toggle="yes">Retaliatory attitudes</italic></underline>: Seven items from Hill and Noblin (<xref rid="R28" ref-type="bibr">Hill and Noblin, 1991</xref>) were averaged to measure the degree to which the an individual had attitudes favoring retaliation. This score ranges from one to four, with higher scores indicating greater belief in/approval of retaliation.</p></list-item><list-item><p id="P22"><underline><italic toggle="yes">Resiliency</italic></underline>: Four items from The Brief Resilient Coping Scale were averaged to measure resilience (<xref rid="R41" ref-type="bibr">Sinclair and Wallston, 2004</xref>). This score ranges from one to five.</p></list-item><list-item><p id="P23"><underline><italic toggle="yes">Prosocial attitudes</italic></underline>: Prosocial beliefs were measured by the average of eight items from the Prosociality scale of Caprara et al (<xref rid="R4" ref-type="bibr">Caprara et al., 2005</xref>). This scale ranges from one to five.</p></list-item></list></p><p id="P24">In addition, we measured the SaFETy score (<xref rid="R21" ref-type="bibr">Goldstick et al., 2017</xref>), but given that its distribution, associated factors, and its association with firearm violence was the subject of a separate publication (<xref rid="R26" ref-type="bibr">Goldstick et al., 2024</xref>), we do not report that here.</p></sec><sec id="S9"><label>2.3.</label><title>Statistical analysis</title><p id="P25">Our analysis began with a description of the recruitment flow, sample characteristics, and some description of the service needs of the sample&#x02014;violence exposure, substance use, mental health, and ED utilization&#x02014;stratified by site. Next, we described the prevalence of different levels of violence exposure (moderate, severe non-firearm, firearm) both as victim and aggressor, at each site. Focusing on self-reported firearm assault (i.e., firearm assault experience, as victim or aggressor, including threats) as the outcome variable&#x02014;we descriptively compared those with-vs-without self-reported firearm assault on peer behaviors, parental/familial environment, community exposures, retaliatory and prosocial attitudes, substance use, and mental health factors associated with firearm assault in this sample. To derive adjusted covariate effects, we used logistic regression. We reported basic lack-of-fit statistics (e.g., Hosmer-Lemeshow test statistic) for that model, and quantified its discriminatory power using the area under the Receiver Operator Characteristic curve (AUROC). To aide interpretation, we reported logistic regression coefficients as marginal effects rather than odds ratios; marginal effects are interpreted here as adjusted differences in the prevalence of self-reported firearm assault rather than relative differences in odds. We used R version 4.4.1. for all data analyses presented.</p></sec></sec><sec id="S10"><label>3.</label><title>Results</title><p id="P26">The SPARK recruitment flow is shown in <xref rid="F1" ref-type="fig">Fig. 1</xref>. Among those approached, 25.4 % refused study participation prior receiving the baseline survey. Those refusing prior to baseline were 44.4 % male, and had an average age of 21.4 (SD = 1.9). In total, 1506 young adults enrolled in the study and completed the baseline survey&#x02014;649 in Seattle (one ED), 318 in Flint (one ED), and 539 in Philadelphia (two EDs). In total, 61.4 % of those completing the baseline survey self-reported as female, 35.9 % male, and 2.7 % non-conforming. Regarding race, the sample is predominantly Black (41.7 %) or White (33.6 %), followed by Multiracial (9.8 %) and Asian (7.2 %). About one-third of the sample was in school. There are differences across sites in these demographics, e.g., Seattle showed a greater proportion male, lower proportion Black, and higher proportion Asian and Multiracial; full demographics by site are in <xref rid="T1" ref-type="table">Table 1</xref>. Nearly 1-in-5 reported keeping in firearm in their car and/or household in their lifetime, while 1-in-9 reported doing so within the past six months; over 1-in-10 reported past-six-month firearm carriage (<xref rid="T1" ref-type="table">Table 1</xref>). Of note, among those reporting past-six-month firearm carriage, 35.0 % reporting doing so 20+ times; 68.7 % reported carrying at least &#x0201c;3&#x02013;5 times&#x0201d;).</p><sec id="S11"><label>3.1.</label><title>Substance use and mental health symptoms</title><p id="P27">Nearly half of respondents reported risky cannabis use (ASSIST sum &#x02265;4) in the past six months (<xref rid="T1" ref-type="table">Table 1</xref>); rates were highest at the Flint site (52.7 %) and lowest at the Philadelphia site (40.7 %). Nearly one third of the sample reported risky alcohol use (<xref rid="T1" ref-type="table">Table 1</xref>); across sites this ranged from 22.3 % (Flint) to 37.8 % (Seattle). A majority (60.5 %) reported risky use of alcohol and/or at least one substance. Positive ASSIST screens (ASSIST sum &#x02265;4) for risky illicit drug use and risky non-medical prescription drug use were reported by 7.0 % and 4.1 % of respondents, respectively, with the highest rates seen at the Seattle site (<xref rid="T1" ref-type="table">Table 1</xref>).</p><p id="P28">Mental health symptoms were prevalent in the sample. Around one-third screened positive for PTSD, for depression, and for anxiety (<xref rid="T1" ref-type="table">Table 1</xref>). Over half screened positive for at least one of the aforementioned (50.2 %). Past two-week suicidal ideation was reported by 3.8 % of respondents (<xref rid="T1" ref-type="table">Table 1</xref>). Each mental health measure showed moderate variability across sites (<xref rid="T1" ref-type="table">Table 1</xref>).</p></sec><sec id="S12"><label>3.2.</label><title>Violence rates</title><p id="P29">Exactly half of respondents reported any past-six-month violence experience, and over 1-in-10 reported a past-six-month ED visit for a violent injury (assault, fighting, or conflict with another person). Non-partner violence was more common than partner violence, and violence victimization was more common than aggression, though even the least common combination&#x02014;partner aggression&#x02014;was reported by 17.3 % of respondents (<xref rid="T1" ref-type="table">Table 1</xref>). Moderate violence was more common than severe non-firearm violence (<xref rid="SD1" ref-type="supplementary-material">Appendix Fig. 1</xref>), but nearly one-infour reported some form of severe non-firearm aggression, and over 30 % reported severe non-firearm victimization. Nearly 1-in-7 reported past-six-month firearm assault; non-partner firearm assault, and firearm assault victimization were more common (<xref rid="SD1" ref-type="supplementary-material">Appendix Table 1</xref>), but over one-quarter of those reporting firearm assault also reported partner firearm assault victimization, and aggression. About 5.9 % self-reported either being shot, or shooting someone else, in the past six months (i.e., removing threats from the firearm assault variable).</p></sec><sec id="S13"><label>3.3.</label><title>Factors associated with firearm assault experience</title><p id="P30"><xref rid="T2" ref-type="table">Table 2</xref> shows unadjusted contrasts between those with-vs-without self-reported firearm assault. Positive peer behaviors, and both peer and parental support were protective, while negative peer behaviors, family conflict, and ACEs corresponded to increased prevalence of self-reported firearm assault. Community crime/violence exposure showed the strongest positive association with firearm assault, and increased attitudes favoring retaliation also corresponded to higher firearm assault prevalence. Prosocial attitudes were protective for firearm assault risk, while resiliency was unassociated with firearm assault. Risky drug use, and mental health symptoms (PTSD, depression, anxiety) were associated with firearm assault; risky alcohol use was not associated with firearm assault. Having kept a firearm in one&#x02019;s car/house in the past six months, and past-six-month firearm carrying were both associated with firearm assault.</p><p id="P31"><xref rid="T3" ref-type="table">Table 3</xref> shows a logistic regression model of firearm assault, adjusted for age, gender, and site. We included variables showing significance associations in <xref rid="T2" ref-type="table">Table 2</xref>; negative peer behaviors were excluded due to evidence of multicollinearity with several other predictors. Similarly, family conflict and ACEs showed substantial content overlap, as did PTSD/depression/anxiety and firearm carrying frequency/keeping firearms in ones car/household; in each case we selected the variable with the largest unadjusted effect size. Community crime/violence showed the largest effect size, with a 1-point increase corresponding to a 13.7 % increase in the prevalence of self-reported firearm assault. The strongest protective effect was prosocial attitudes; each additional point on that scale corresponded to 1.6 % lower prevalence of self-reported firearm assault. Though some factors (e.g., positive peer behaviors) showed non-statistically significant effects, the direction of all effects agreed with unadjusted effects. The AUROC for the fitted model was 0.86, suggesting reasonable discriminatory power; the Hosmer-Lemeshow test, using the typical approach of decile splits, suggested no severe lack-of-fit (<italic toggle="yes">p = 0.86</italic>).</p></sec></sec><sec id="S14"><label>4.</label><title>Discussion</title><p id="P32">We used data from a comprehensive baseline survey to describe violence rates, and other service needs (e.g., substance use, mental health) among a general population of young adults entering EDs in three cities, and examined factors associated with firearm assault. These results update previous ED-based studies of violence epidemiology against a backdrop of increasing national rates of violent injury, particularly firearm violence. Half of surveyed young adults presenting to urban EDs reported recent violence experience, and over one-seventh report recent firearm assault. Risky substance use and mental health symptoms were also commonly reported, across sites, underscoring a general ED sample of young adults as a high-need population. These findings point to the ongoing injury prevention opportunity in urban EDs; there are effective ED-based violence prevention programs (<xref rid="R7" ref-type="bibr">Carter et al., 2022</xref>; <xref rid="R6" ref-type="bibr">Carter et al., 2016</xref>) and these efforts may be informed by these contemporary results.</p><p id="P33">Previously published work from Project SPARK showed strong cross-sectional associations between the SaFETy score and self-reported firearm violence (<xref rid="R26" ref-type="bibr">Goldstick et al., 2024</xref>), and the results presented here suggest there are other important factors associated with firearm assault experience. Several factors not included in the original SaFETy score (<xref rid="R21" ref-type="bibr">Goldstick et al., 2017</xref>)&#x02014;such as peer/parental support, family conflict and ACEs, retaliatory and prosocial attitudes, and mental health symptoms&#x02014;showed strong associations with firearm assault in this sample. As standalone results, these associations point to the importance of social exposures and attitudes/norms in modulating firearm assault, which can inform interventions. In addition, they point to high-need subpopulations, such as those with more ACEs, greater family conflict, and drug use/mental health comorbidities.</p><p id="P34">While prior studies measuring firearm violence and a large set of sociodemographic factors are limited, these results do affirm prior results. In particular, associations between firearm violence and retaliatory attitudes, PTSD, firearm carriage, and drug use are consistent with prior work (<xref rid="R5" ref-type="bibr">Carter et al., 2015</xref>). Given the previously discussed national increases in firearm violence rates, particularly among children and young adults, results confirming similarities to dynamics observed in a sample from a decade earlier (<xref rid="R5" ref-type="bibr">Carter et al., 2015</xref>) provide important updates to the literature. At the same time, we presented associations not shown in previous ED-based studies of firearm violence, such as those between self-reported firearm assault and family conflict, parental support, positive peer behaviors, and prosocial attitudes. Taken together, these results provide important contemporary context for future ED-based studies of firearm violence.</p><p id="P35">Replication of the previous machine-learning-based longitudinal analyses that derived the score in a general sample of young adults entering the ED, as opposed to the higher-risk sample in which the score was derived, and with a broader set of self-reported measures, is a critical next step for Project SPARK. Our baseline results confirm the importance of those next steps, and suggest optimism for their success. In particular, the high rates of violence&#x02014;including firearm assault experience&#x02014;show that general ED samples of young adults continue to be a population at elevated risk for violence. Thus, prospective ascertainment risk is critically important, particularly among those not presenting for reasons that suggest elevated violence risk (i.e., violent injury). This critical need is underscored by the fact that the SaFETy score is being measured in clinical sites already (<xref rid="R27" ref-type="bibr">Goyal et al., 2024</xref>), even without existing external validation. As described above, the strong associations identified here suggest, in combination with previously reported associations between the SaFETy score and self-reported firearm violence (<xref rid="R26" ref-type="bibr">Goldstick et al., 2024</xref>), there may be room for improved violence prediction. The forthcoming prospective validation will attempt to fill this critical gap.</p><p id="P36">Outside of firearm violence, our results point to other significant service needs of young adults entering the ED in all three cities. Sizable proportions reported severe violence involvement (both aggression and victimization), and about 1-in-10 report recent firearm carriage; this combination points to potential escalation of violence severity and critical opportunities for firearm safety counseling, particularly given previous research showing that firearm violence is often preceded by lower-level violence (<xref rid="R23" ref-type="bibr">Goldstick et al., 2019b</xref>). High rates of substance use and positive screen for PTSD, depression, and anxiety were also observed; these rates are substantially higher than corresponding rates in the general population. For example, 38.2 % of those age 18&#x02013;25 reported past-year cannabis use in 2022 (<xref rid="R44" ref-type="bibr">Substance Abuse and Mental Health Services Administration (SAMHSA), 2024</xref>); we found nearly half of the sample reporting risky use&#x02014;a higher threshold than any past-year use. Similarly, prevalence of PTSD among young adults is under 5 % (<xref rid="R33" ref-type="bibr">National Institute of Mental Health (NIMH), 2024</xref>), but nearly one-third of this sample screened positive (PCL &#x02265; 30) for possible PTSD, suggesting substantially higher rates. The fact that these other services needs are all strongly associated with violence involvement in this sample further points to important prevention priorities among a general ED sample of young adults.</p><p id="P37">We acknowledge some limitations of this work. Importantly, all of the data presented here are self-reported, uncorroborated by objective sources. Our study did include an NIH certificate of confidentiality, but there is a possibility of misreporting, particularly with regard to higher risk behaviors. Second, relatedly, participants had the option of skipping questions. We felt this was an important human subjects protection, given the sensitive nature of some questions, but does raise the possibility of underreporting on the highest risk behaviors (e.g., ~1.7% missing on the firearm assault outcome, which may be a higher-risk subset). Third, individuals refusing study participation prior to receiving the baseline survey were more likely to be men than those who did complete the baseline survey, raising minor concerns about selection bias. Fourth, the wording of the question related to firearms in ones household/car does not preclude that the firearm was owned and primarily handled by another household member; nevertheless we feel this question serves as an important proxy for firearm access in ones&#x02019; home/car. Finally, the cross-sectional nature of this analysis undermines arguments about predictive power and whether the covariates preceded the outcomes. Nevertheless, these results comport with a priori expectations (e.g., showing strong convergent validity), and are an important next step in understanding the worsening problem of firearm violence in the US. Longitudinal results from Project SPARK will be critical to validating these results.</p><p id="P38">Violence&#x02014;including severe violence, firearm violence, partner violence, and non-partner violence&#x02014;is common among a general ED sample of young adults, and those with elevated violence risk also have other service needs. In addition, familial, peer, and community factors play strong roles in determining firearm assault risk. Taken together, this suggests it is possible to characterize those at highest risk, and leverage that information to inform intervention development, and efficiently disseminate resources.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>1</label><media xlink:href="NIHMS2048854-supplement-1.docx" id="d67e578" position="anchor"/></supplementary-material></sec></body><back><ack id="S16"><title>Funding</title><p id="P40">This work was funded by R01CE003294 (PI: Goldstick), and R49CE003085 (PI: Carter).</p></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P41">Interest-statement</p><p id="P42">The authors have no financial disclosures or conflicts of interest to report related to this work</p></fn><fn id="FN2"><p id="P43">CRediT authorship contribution statement</p><p id="P44"><bold>Jason E. Goldstick:</bold> Writing &#x02013; review &#x00026; editing, Writing &#x02013; original draft, Supervision, Project administration, Methodology, Investigation, Funding acquisition, Formal analysis, Data curation, Conceptualization. <bold>Patrick M. Carter:</bold> Writing &#x02013; review &#x00026; editing, Supervision, Methodology, Conceptualization. <bold>Lauren Whiteside:</bold> Writing &#x02013; review &#x00026; editing, Supervision, Methodology, Conceptualization. <bold>M. Kit Delgado:</bold> Writing &#x02013; review &#x00026; editing, Supervision, Methodology, Conceptualization. <bold>Philip Stallworth:</bold> Writing &#x02013; review &#x00026; editing, Visualization, Software, Formal analysis, Data curation. <bold>Keara Sullivan:</bold> Writing &#x02013; review &#x00026; editing, Supervision, Project administration, Data curation. <bold>Maya Childs:</bold> Writing &#x02013; review &#x00026; editing, Investigation. <bold>Sarah Taga:</bold> Writing &#x02013; review &#x00026; editing, Investigation. <bold>Rebecca M. Cunningham:</bold> Writing &#x02013; review &#x00026; editing, Methodology, Conceptualization.</p></fn><fn fn-type="COI-statement" id="FN3"><p id="P45">Declaration of competing interest</p><p id="P46">No authors have any conflicts of interest to disclose.</p></fn><fn id="FN4"><p id="P47">Appendix A. Supplementary data</p><p id="P48">Supplementary data to this article can be found online at <ext-link xlink:href="10.1016/j.ypmed.2024.108124" ext-link-type="doi">https://doi.org/10.1016/j.ypmed.2024.108124</ext-link>.</p></fn></fn-group><sec sec-type="data-availability" id="S15"><title>Data availability</title><p id="P39">As required by the funder, these data will be made available (deidentified) after the study is over and the primary aims are completed.</p></sec><ref-list><title>References</title><ref id="R1"><mixed-citation publication-type="journal"><name><surname>Barata</surname><given-names>IA</given-names></name>, <name><surname>Shandro</surname><given-names>JR</given-names></name>, <name><surname>Montgomery</surname><given-names>M</given-names></name>, <etal/>, <year>2017</year>. <article-title>Effectiveness of SBIRT for alcohol use disorders in the emergency department: a systematic review</article-title>. <source>West. J. Emerg. Med</source>
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<underline>
<italic toggle="yes">Demographics</italic>
</underline>
</td><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Age [mean(SD)]</td><td align="left" valign="bottom" rowspan="1" colspan="1">21.3 (1.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">21.6 (1.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">20.7 (2.0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">21.3 (1.9)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Gender</td><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Female n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">923 (61.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">318 (49.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">229 (72.0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">376 (69.9)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Male n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">540 (35.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">305 (47.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">84 (26.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">151 (28.1)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Non-conforming n (%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">41 (2.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">25 (3.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">5 (1.6)</td><td align="left" valign="bottom" rowspan="1" colspan="1">11 (2.0)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">Race</td><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Black or African American n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">616 (41.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">118 (18.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">174 (55.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">324 (61.0)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;White n(%)</td><td align="left" valign="top" rowspan="1" colspan="1">497 (33.6)</td><td align="left" valign="bottom" rowspan="1" colspan="1">271 (43.0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">119 (37.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">107 (20.2)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Asian n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">106 (7.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">68 (10.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">1 (0.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">37 (7.0)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Other n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">113 (7.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">78 (12.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">7 (2.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">28 (5.3)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Multiracial n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">145 (9.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">95 (15.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">15 (4.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">35 (6.6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">In school n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">493 (33.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">201 (31.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">77 (24.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">215 (40.5)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<underline>
<italic toggle="yes">Past-six-month substance use</italic>
</underline>
</td><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Cannabis - risky use n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">708 (47.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">323 (49.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">166 (52.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">219 (40.7)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Alcohol - risky use n (%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">481 (32.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">244 (37.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">70 (22.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">167 (31.2)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Other illicit drug - risky use n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">105 (7.0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">80 (12.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">10 (3.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">15 (2.8)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Non-medical prescription drug - risky use n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">61 (4.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">36 (5.6)</td><td align="left" valign="bottom" rowspan="1" colspan="1">11 (3.5)</td><td align="left" valign="bottom" rowspan="1" colspan="1">14 (2.6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<underline>
<italic toggle="yes">Past-six-month violence</italic>
</underline>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Any violence experience n(%)</td><td align="left" valign="top" rowspan="1" colspan="1">740 (50.0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">345 (53.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">157 (49.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">238 (45.4)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Any partner violence n(%)</td><td align="left" valign="top" rowspan="1" colspan="1">382 (25.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">169 (26.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">84 (26.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">129 (24.4)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Any partner aggression n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">258 (17.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">102 (15.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">60 (19.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">96 (18.1)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Any partner victimization n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">300 (20.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">139 (21.5)</td><td align="left" valign="bottom" rowspan="1" colspan="1">70 (22.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">91 (17.1)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Any non-partner violence n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">631 (42.5)</td><td align="left" valign="bottom" rowspan="1" colspan="1">303 (47.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">128 (40.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">200 (37.9)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Any non-partner aggression n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">405 (27.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">175 (27.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">93 (29.6)</td><td align="left" valign="bottom" rowspan="1" colspan="1">137 (26.0)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Any non-partner victimization n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">556 (37.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">278 (43.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">110 (35.0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">168 (31.7)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Any ED visit for violent injury n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">150 (10.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">69 (10.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">34 (11.1)</td><td align="left" valign="bottom" rowspan="1" colspan="1">47 (9.0)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<underline>
<italic toggle="yes">Firearms in car/household &#x00026; firearm carrying</italic>
</underline>
</td><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Kept firearm in car/household (lifetime) n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">292 (19.5)</td><td align="left" valign="bottom" rowspan="1" colspan="1">144 (22.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">69 (21.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">79 (14.7)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Kept firearm in car/household (past 6-month) n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">170 (11.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">79 (12.2)</td><td align="left" valign="bottom" rowspan="1" colspan="1">44 (13.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">47 (8.8)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Past 6-month carriage frequency [mean(SD)]</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.4 (1.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.4 (1.3)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.4 (1.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">0.3 (1.2)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Any past 6-month carriage n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">157 (10.5)</td><td align="left" valign="bottom" rowspan="1" colspan="1">83 (12.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">34 (10.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">40 (7.5)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">
<underline>
<italic toggle="yes">Mental health symptoms</italic>
</underline>
</td><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Past month PTSD n (%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">430 (29.6)</td><td align="left" valign="bottom" rowspan="1" colspan="1">210 (33.5)</td><td align="left" valign="bottom" rowspan="1" colspan="1">97 (32.0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">123 (23.6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Past-two-week depression n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">512 (34.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">246 (38.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">110 (35.0)</td><td align="left" valign="bottom" rowspan="1" colspan="1">156 (29.6)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Past-two-week anxiety n(%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">513 (34.7)</td><td align="left" valign="bottom" rowspan="1" colspan="1">235 (36.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">123 (38.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">155 (29.5)</td></tr><tr><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02003;Past-two-week suicidal ideation n (%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">56 (3.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">34 (5.4)</td><td align="left" valign="bottom" rowspan="1" colspan="1">9 (2.8)</td><td align="left" valign="bottom" rowspan="1" colspan="1">13 (2.5)</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P51"><underline>Note</underline>: Risky substance use variables indicate a score of &#x02265;4 on the National Institute on Drug Abuse modified Alcohol, Smoking, and Substance Use Involvement Screening Test (ASSIST) for Cannabis, at least one illicit drug (cocaine, street opioids, methamphetamine, inhalants, hallucinogens), and at least one prescription drug (sedatives, opioids, stimulants) used non-medically in the &#x0201c;Cannabis&#x0201d;, &#x0201c;Other illicit drug&#x0201d;, and &#x0201c;Non-medical prescription drug&#x0201d; rows, respectively.</p></fn><fn id="TFN2"><p id="P52">Note 2: The risky alcohol use indicator was calculated using the three-item Alcohol Use Disorder Identification Test (AUDIT-C), with a cut point of &#x02265;4 for men, and &#x02265; 3 for women.</p></fn><fn id="TFN3"><p id="P53">PTSD: Post-traumatic stress disorder; SD: Standard deviation.</p></fn><fn id="TFN4"><label>a</label><p id="P54">The denominator for cell percentages may not equal the column total due to missing data. Among variables with any missing data, the number missing ranged from 2 (0.1 %: other illicit misuse; gender) to 55 (3.7 %: PTSD).</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2"><label>Table 2</label><caption><p id="P55">Sociodemographic, substance use, and mental health characteristics of study participants, and contrasts between those who did versus did not self-report firearm assault (including threats) (Seattle, Flint, and Philadelphia; July 2021 &#x02013; May 2023).</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Total with firearm Outcome<sup><xref rid="TFN6" ref-type="table-fn">a</xref></sup> (<italic toggle="yes">N</italic> = 1481)</th><th align="left" valign="top" rowspan="1" colspan="1">Firearm assault (<italic toggle="yes">N</italic> = 214)</th><th align="left" valign="top" rowspan="1" colspan="1">No firearm assault <italic toggle="yes">N</italic> = 1267)</th><th align="left" valign="top" rowspan="1" colspan="1">Cohen&#x02019;s effect size<sup><xref rid="TFN7" ref-type="table-fn">b</xref></sup> (95 % CI)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Demographics</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age [mean(SD)] (range: 18&#x02013;24)</td><td align="left" valign="top" rowspan="1" colspan="1">21.3 (1.9)</td><td align="left" valign="top" rowspan="1" colspan="1">21.4 (1.9)</td><td align="left" valign="top" rowspan="1" colspan="1">21.3 (2.0)</td><td align="left" valign="top" rowspan="1" colspan="1">0.05 (&#x02212;0.10, 0.19)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Male gender n(%)</td><td align="left" valign="top" rowspan="1" colspan="1">528 (35.7)</td><td align="left" valign="top" rowspan="1" colspan="1">99 (46.3)</td><td align="left" valign="top" rowspan="1" colspan="1">429 (33.9)</td><td align="left" valign="top" rowspan="1" colspan="1">0.25 (0.11, 0.40)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Peer behaviors</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Positive behaviors [mean (SD)] (range: 0&#x02013;4)<sup><xref rid="TFN8" ref-type="table-fn">c</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">1.6 (0.9)</td><td align="left" valign="top" rowspan="1" colspan="1">1.4 (0.9)</td><td align="left" valign="top" rowspan="1" colspan="1">1.6 (0.8)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.27 (&#x02212;0.42, &#x02212;0.12)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Negative behaviors [mean (SD)] (range: 0&#x02013;4)<sup><xref rid="TFN8" ref-type="table-fn">c</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">0.7 (0.6)</td><td align="left" valign="top" rowspan="1" colspan="1">1.1 (0.7)</td><td align="left" valign="top" rowspan="1" colspan="1">0.7 (0.6)</td><td align="left" valign="top" rowspan="1" colspan="1">0.67 (0.50, 0.84)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Peer support [mean(SD)] (range: 1&#x02013;5)<sup><xref rid="TFN8" ref-type="table-fn">c</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">3.2 (1.1)</td><td align="left" valign="top" rowspan="1" colspan="1">3.0 (1.1)</td><td align="left" valign="top" rowspan="1" colspan="1">3.3 (1.1)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.20 (&#x02212;0.35, &#x02212;0.06)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Familial/parental</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Parental support [mean(SD)] (range: 1&#x02013;5)<sup><xref rid="TFN9" ref-type="table-fn">d</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">3.3 (1.2)</td><td align="left" valign="top" rowspan="1" colspan="1">2.7 (1.2)</td><td align="left" valign="top" rowspan="1" colspan="1">3.4 (1.2)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.56 (&#x02212;0.72, &#x02212;0.41)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Family conflict [mean(SD)] (range: 1&#x02013;4)<sup><xref rid="TFN8" ref-type="table-fn">c</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">1.7 (0.7)</td><td align="left" valign="top" rowspan="1" colspan="1">2.2 (0.9)</td><td align="left" valign="top" rowspan="1" colspan="1">1.6 (0.7)</td><td align="left" valign="top" rowspan="1" colspan="1">0.76 (0.58, 0.93)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;ACEs [mean(SD)] (range: 0&#x02013;8)<sup><xref rid="TFN10" ref-type="table-fn">e</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">2.6 (2.1)</td><td align="left" valign="top" rowspan="1" colspan="1">3.8 (2.2)</td><td align="left" valign="top" rowspan="1" colspan="1">2.4 (2.1)</td><td align="left" valign="top" rowspan="1" colspan="1">0.65 (0.49, 0.81)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Community &#x00026; Attitudes</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Community violence [mean (SD)] (range: 0&#x02013;3)<sup><xref rid="TFN11" ref-type="table-fn">f</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">0.6 (0.7)</td><td align="left" valign="top" rowspan="1" colspan="1">1.4 (0.8)</td><td align="left" valign="top" rowspan="1" colspan="1">0.5 (0.6)</td><td align="left" valign="top" rowspan="1" colspan="1">1.23 (1.03, 1.42)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Retaliatory attitudes [mean (SD)] (range: 1&#x02013;4)<sup><xref rid="TFN12" ref-type="table-fn">g</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">2.4 (0.5)</td><td align="left" valign="top" rowspan="1" colspan="1">2.6 (0.5)</td><td align="left" valign="top" rowspan="1" colspan="1">2.3 (0.5)</td><td align="left" valign="top" rowspan="1" colspan="1">0.55 (0.40, 0.71)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Resiliency [mean (SD)] (range: 1&#x02013;5)<sup><xref rid="TFN13" ref-type="table-fn">h</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">3.7 (0.8)</td><td align="left" valign="top" rowspan="1" colspan="1">3.7 (0.8)</td><td align="left" valign="top" rowspan="1" colspan="1">3.8 (0.7)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;0.03 (&#x02212;0.19, 0.12)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Prosocial attitudes [mean (SD)] (range: 1&#x02013;5)<sup><xref rid="TFN14" ref-type="table-fn">i</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">3.8 (0.9)</td><td align="left" valign="top" rowspan="1" colspan="1">3.7 (1.0)</td><td align="left" valign="top" rowspan="1" colspan="1">3.8 (0.9)</td><td align="left" valign="bottom" rowspan="1" colspan="1">&#x02212;0.18 (&#x02212;0.33, &#x02212;0.02)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Past-six-month firearm behaviors</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Firearms in car/household n(%)<sup><xref rid="TFN15" ref-type="table-fn">j</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">169 (11.4)</td><td align="left" valign="top" rowspan="1" colspan="1">51 (24.2)</td><td align="left" valign="top" rowspan="1" colspan="1">118 (9.3)</td><td align="left" valign="top" rowspan="1" colspan="1">0.41 (0.26, 0.66)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Firearm carriage frequency [mean (SD)](range:0&#x02013;6)<sup><xref rid="TFN15" ref-type="table-fn">j</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">0.4 (1.3)</td><td align="left" valign="top" rowspan="1" colspan="1">1.2 (2.1)</td><td align="left" valign="top" rowspan="1" colspan="1">0.3 (1.1)</td><td align="left" valign="top" rowspan="1" colspan="1">0.54 (0.36, 0.72)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Substance use/mental health</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Past-six-month risky alcohol use n(%)<sup><xref rid="TFN16" ref-type="table-fn">k</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">476 (32.3)</td><td align="left" valign="top" rowspan="1" colspan="1">72 (34.0)</td><td align="left" valign="top" rowspan="1" colspan="1">404 (32.0)</td><td align="left" valign="top" rowspan="1" colspan="1">0.04 (&#x02212;0.10, 0.19)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Past-six-month any risky drug use n(%)<sup><xref rid="TFN17" ref-type="table-fn">l</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">726 (49.2)</td><td align="left" valign="top" rowspan="1" colspan="1">158 (74.5)</td><td align="left" valign="top" rowspan="1" colspan="1">568 (44.9)</td><td align="left" valign="top" rowspan="1" colspan="1">0.61 (0.47, 0.76)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Past-month PTSD n(%)<sup><xref rid="TFN18" ref-type="table-fn">m</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">427 (29.8)</td><td align="left" valign="top" rowspan="1" colspan="1">118 (59.0)</td><td align="left" valign="top" rowspan="1" colspan="1">309 (25.0)</td><td align="left" valign="top" rowspan="1" colspan="1">0.70 (0.55, 0.85)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Past-two-week depression n(%)<sup><xref rid="TFN19" ref-type="table-fn">n</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">508 (34.9)</td><td align="left" valign="top" rowspan="1" colspan="1">113 (54.6)</td><td align="left" valign="top" rowspan="1" colspan="1">395 (31.7)</td><td align="left" valign="top" rowspan="1" colspan="1">0.47 (0.32, 0.61)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Past-two-week anxiety n(%)<sup><xref rid="TFN20" ref-type="table-fn">o</xref></sup></td><td align="left" valign="top" rowspan="1" colspan="1">509 (34.9)</td><td align="left" valign="top" rowspan="1" colspan="1">115 (55.0)</td><td align="left" valign="top" rowspan="1" colspan="1">394 (31.4)</td><td align="left" valign="top" rowspan="1" colspan="1">0.48 (0.33, 0.63)</td></tr></tbody></table><table-wrap-foot><fn id="TFN5"><p id="P56">PTSD: Post-traumatic stress disorder; ACEs: Adverse childhood experiences; SD: Standard deviation.</p></fn><fn id="TFN6"><label>a :</label><p id="P57">The denominator for cell percentages may not equal the column total due to missing data. The number missing in the rows ranged from 1 (0.1 %: gender) to 47 (3.2 %: PTSD); there was no missing data for age.</p></fn><fn id="TFN7"><label>b :</label><p id="P58">This quantifies the difference between those self-reporting firearm assault, minus those not self-reporting firearm assault. For numeric variables (e.g., age), the value in the table is the Cohen&#x02019;s d (using the unpooled SD, thus not assuming equal variances). For binary variables (e.g., positive PTSD Screen), the value in the table is the Cohen&#x02019;s h.</p></fn><fn id="TFN8"><label>c :</label><p id="P59">Measured using a summary score based on items from the Flint Adolescent Study (<xref rid="R51" ref-type="bibr">Zimmerman et al., 2002</xref>).</p></fn><fn id="TFN9"><label>d :</label><p id="P60">Measured using a summary score based on items from Procidano and Heller&#x02019;s social support scale (<xref rid="R36" ref-type="bibr">Procidano and Heller, 1983</xref>).</p></fn><fn id="TFN10"><label>e :</label><p id="P61">Measured as the number of ACEs reported using items from the National Survey of Child Health (<xref rid="R45" ref-type="bibr">The Child and Adolescent Health Measurement Initiative (CAHMI), 2024</xref>).</p></fn><fn id="TFN11"><label>f :</label><p id="P62">Measured using a summary score based on items from the &#x0201c;Things I&#x02019;ve Seen and Heard&#x0201d; survey (<xref rid="R40" ref-type="bibr">Richters and Saltzman, 1990</xref>).</p></fn><fn id="TFN12"><label>g</label><p id="P63">Measured using a summary score based on items from Hill and Noblin (<xref rid="R28" ref-type="bibr">Hill and Noblin, 1991</xref>).</p></fn><fn id="TFN13"><label>h :</label><p id="P64">Measured using a summary score based on items from the Brief Resilient Coping Scale (<xref rid="R41" ref-type="bibr">Sinclair and Wallston, 2004</xref>).</p></fn><fn id="TFN14"><label>i :</label><p id="P65">Measured using a summary score based on items from the Prosociality scale of Caprara et al (<xref rid="R4" ref-type="bibr">Caprara et al., 2005</xref>).</p></fn><fn id="TFN15"><label>j :</label><p id="P66">Measured using items modified from the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance System (<xref rid="R9" ref-type="bibr">Centers for Disease Control and Prevention (CDC), 2021</xref>).</p></fn><fn id="TFN16"><label>k :</label><p id="P67">Measured using the three-item Alcohol Use Disorders Identification Test summary score, with a cutpoint of 4 for men, and 3 for women (<xref rid="R14" ref-type="bibr">Chung et al., 2000</xref>).</p></fn><fn id="TFN17"><label>l :</label><p id="P68">Measured using summary scores from the National Institute on Drug Abuse modified Alcohol, Smoking and Substance Involvement Screening Test (<xref rid="R34" ref-type="bibr">National Institute on Drug Abuse (NIDA), 2024</xref>). The indicator is calculated as a score of 4 or more on any of: cannabis, cocaine, street opioids, methamphetamine, inhalants, hallucinogens, non-medical use of prescription sedatives, non-medical use of prescription opioids, and non-medical use of prescription stimulants).</p></fn><fn id="TFN18"><label>m :</label><p id="P69">Measured using a summary score from the PTSD checklist-17 (PCL-17) (<xref rid="R31" ref-type="bibr">Lang and Stein, 2005</xref>) with the indicator calculated based on a total score of 30 or higher.</p></fn><fn id="TFN19"><label>n :</label><p id="P70">Measured using a summary score from the Patient Health Questionnare-9 (PHQ-9) (<xref rid="R39" ref-type="bibr">Richardson et al., 2010</xref>) with the indicator calculated based on a total score of 10 or higher.</p></fn><fn id="TFN20"><label>o :</label><p id="P71">Measured using a summary score from the Generalized Anxiety Disorder-(GAD-7) (<xref rid="R42" ref-type="bibr">Spitzer et al., 2006</xref>) with the indicator calculated based on a total score of 10 or higher.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3"><label>Table 3</label><caption><p id="P72">Adjusted differences in prevalence of self-reported firearm assault in the sample, calculated using logistic regression with effects displayed as marginal effects. Respondents were age 18&#x02013;24, and data were collected in Seattle, Flint, and Philadelphia; July 2021 &#x02013; May 2023.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Adjusted prevalence difference (95 % CI)</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Demographics</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age (range: 18&#x02013;24)</td><td align="left" valign="top" rowspan="1" colspan="1">0.3 (&#x02212;0.6, 1.1)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Gender</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Female/non-conforming</td><td align="left" valign="top" rowspan="1" colspan="1">(ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Male</td><td align="left" valign="bottom" rowspan="1" colspan="1">2.3 (&#x02212;1.3, 5.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Site</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Seattle, Washington</td><td align="left" valign="top" rowspan="1" colspan="1">(ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Flint, Michigan</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;3.5 (&#x02212;7.6, 0.7)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Philadelphia, Pennsylvania</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;4.2 (&#x02212;7.9, &#x02212;0.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Peer &#x00026; familial/parental</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Peer positive behaviors (range: 0&#x02013;4)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;1.0 (&#x02212;2.8, 0.8)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Parental support (range: 1&#x02013;5)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;1.0 (&#x02212;2.3, 0.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Family conflict (range: 1&#x02013;4)</td><td align="left" valign="top" rowspan="1" colspan="1">3.8 (1.3, 6.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Community &#x00026; Attitudes</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Retaliatory attitudes (range: 1&#x02013;4)</td><td align="left" valign="top" rowspan="1" colspan="1">4.9 (0.3, 9.5)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Prosocial attitudes (range: 1&#x02013;5)</td><td align="left" valign="top" rowspan="1" colspan="1">&#x02212;1.6 (&#x02212;3.1, &#x02212;0.0)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Community violence (range: 0&#x02013;3)</td><td align="left" valign="top" rowspan="1" colspan="1">13.7 (10.4, 16.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Firearm behaviors</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Firearm carriage frequency (range: 0&#x02013;6)</td><td align="left" valign="top" rowspan="1" colspan="1">1.4 (0.3, 2.4)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Past-two-week post-traumatic stress disorder</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="left" valign="top" rowspan="1" colspan="1">(ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="left" valign="top" rowspan="1" colspan="1">5.1 (1.1, 8.9)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<italic toggle="yes">Past-six-month risky drug use</italic>
</td><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;No</td><td align="left" valign="top" rowspan="1" colspan="1">(ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Yes</td><td align="left" valign="top" rowspan="1" colspan="1">4.2 (0.9, 7.6)</td></tr></tbody></table><table-wrap-foot><fn id="TFN21"><p id="P73">Note: This model was fit to complete cases; i.e., individuals with non-missing values for both the outcome and all of the covariates in the model (<italic toggle="yes">n</italic> = 1312).</p></fn><fn id="TFN22"><p id="P74">Note 2: The effects displayed in the table are calculated from logistic regression with covariate effects displayed as marginal effects rather than odds ratios; these are interpreted directly as adjusted prevalence differences corresponding to a 1-unit increase for numeric predictors, and as adjusted contrasts of prevalence for different categories on the nominal predictors.</p></fn></table-wrap-foot></table-wrap></floats-group></article>