Section of Pediatric Critical Care, Department of Pediatrics, The University of Chicago Medicine, Chicago, Illinois.
Section of General Surgery, Department of Surgery, The University of Chicago Medicine, Chicago, Illinois.
J Surg Res. 2024 Oct;302:490-494. doi: 10.1016/j.jss.2024.07.086. Epub 2024 Aug 21.
Homicide is a leading cause of death for American children. We hypothesized demographics and homicide circumstances would differ by victim age.
We performed a retrospective analysis of the 2003-2020 National Violent Death Reporting System. The National Violent Death Reporting System collects data from nearly all 50 states, the District of Columbia, and Puerto Rico. Demographics (age, sex, race, and ethnicity), homicide year, and weapon type were abstracted. Inclusion criteria were pediatric victims (age < 18). Two groups: 0-4 y old (young cohort [YC]) and 13-17 y old (teen cohort [TC]) were compared. Chi-squared tests, p-test, and t-tests with significance P < 0.05 were used to determine the association between victim demographics, cohort, and homicide mechanism.
10,569 pediatric (male: 70.2% [n = 7424], median age: 12 y old [interquartile range 1-16], black: 52.7% [n = 5573]) homicides met inclusion. Homicides demonstrated a bimodal age distribution (YC: 40.9% [n = 4320] versus TC: 48.9% [n = 5164]). Gender and race were both associated with homicide victimhood (P < 0.001). TC homicides were more likely to be male (YC: 57.8% [n = 2496] versus TC: 83.7% [n = 4320], P < 0.001) and black (YC: 40.1% [n = 1730] versus TC: 65.0% [n = 3357], P < 0.001). Pediatric homicides increased from 2018 (n = 1049) to 2020 (n = 1597), with only TC demonstrating a significant increase (2018: n = 522 versus 2020: n = 971, P < 0.001). Homicide mechanism was significantly associated with age (Blunt: YC: 57.5% [n = 2484] versus TC: 2.9% [n = 148], P < 0.001; Penetrating: YC: 7.9% [n = 340] versus TC: 92.8% [n = 4794], P < 0.001).
Pediatric homicides demonstrate distinct demographic characteristics and homicide mechanisms between two at risk age cohorts. Age-based education and intervention strategies may increase injury prevention programs' efficacy.
在美国儿童中,凶杀是导致死亡的主要原因。我们假设人口统计学特征和凶杀情况会因受害者年龄而异。
我们对 2003-2020 年国家暴力死亡报告系统进行了回顾性分析。国家暴力死亡报告系统从近 50 个州、哥伦比亚特区和波多黎各收集数据。提取人口统计学特征(年龄、性别、种族和民族)、凶杀发生年份和武器类型。纳入标准为儿科受害者(年龄<18 岁)。将两组进行比较:0-4 岁(年轻组[YC])和 13-17 岁(青少年组[TC])。使用卡方检验、p-检验和 t-检验,显著性 P<0.05,确定受害者人口统计学特征、队列和凶杀机制之间的关系。
纳入了 10569 名儿科(男性:70.2%[n=7424],中位数年龄:12 岁[四分位距 1-16],黑人:52.7%[n=5573])凶杀案。凶杀案呈双峰年龄分布(YC:40.9%[n=4320],TC:48.9%[n=5164])。性别和种族都与凶杀案受害者有关(P<0.001)。TC 凶杀案更可能是男性(YC:57.8%[n=2496],TC:83.7%[n=4320],P<0.001)和黑人(YC:40.1%[n=1730],TC:65.0%[n=3357],P<0.001)。儿科凶杀案从 2018 年(n=1049)增加到 2020 年(n=1597),只有 TC 显著增加(2018 年:n=1049,2020 年:n=1597)。凶杀机制与年龄显著相关(钝器伤:YC:57.5%[n=2484],TC:2.9%[n=148],P<0.001;穿透伤:YC:7.9%[n=340],TC:92.8%[n=4794],P<0.001)。
儿科凶杀案在两个高危年龄组之间显示出不同的人口统计学特征和凶杀机制。基于年龄的教育和干预策略可能会提高伤害预防计划的效果。