Bushover Brady, Mehranbod Christina A, Roberts Leah E, Gobaud Ariana N, Fish Carolyn, Gao Xiang, Zadey Siddhesh, Morrison Christopher N
Department of Epidemiology, Columbia University, New York, New York, USA
Department of Epidemiology, Columbia University, New York, New York, USA.
Inj Prev. 2024 Jul 18. doi: 10.1136/ip-2024-045248.
Firearm violence is a major public health issue in the USA. There is growing evidence that firearm violence is associated with higher ambient temperatures. The aim of this study was to test competing hypotheses that could explain associations between temperature and firearm violence: temperature-aggression theory and routine activities theory.
We examined associations between elevated daily temperatures and shooting incidents in four US cities: Chicago, Illinois; Cincinnati, Ohio; New York, New York and Philadelphia, Pennsylvania. Temperature was operationalised using two different measures: daily maximum temperature and deviations of the daily maximum temperature from 30-year averages. Generalised linear autoregressive moving average models related temperature to shooting incidence while controlling for seasonal effects.
As maximum daily temperature deviates from the expected, there was an association with increased shooting incidents in all four cities (eg, New York: b=0.014, 95% CI=0.011 to 0.017). An interaction term created by multiplying daily maximum temperature by the daily difference of maximum temperature from a 30-year average was also found to have a positive association in all four cities (eg, New York: b=0.020, 95% CI=0.016 to 0.025).
These findings accord with previous studies demonstrating a positive relationship between temperature and firearm violence and further support temperature-aggression theory as the primary causal mechanism.
枪支暴力是美国一个主要的公共卫生问题。越来越多的证据表明,枪支暴力与较高的环境温度有关。本研究的目的是检验能够解释温度与枪支暴力之间关联的相互竞争的假设:温度攻击理论和日常活动理论。
我们研究了美国四个城市(伊利诺伊州芝加哥市、俄亥俄州辛辛那提市、纽约州纽约市和宾夕法尼亚州费城)每日气温升高与枪击事件之间的关联。温度通过两种不同的测量方法来衡量:每日最高温度以及每日最高温度与30年平均值的偏差。广义线性自回归移动平均模型在控制季节效应的同时,将温度与枪击发生率联系起来。
随着每日最高温度偏离预期,所有四个城市的枪击事件都有所增加(例如,纽约:b = 0.014,95%置信区间= 0.011至0.017)。通过将每日最高温度乘以每日最高温度与30年平均值的差值所产生的交互项,在所有四个城市中也呈现出正相关(例如,纽约:b = 0.020,95%置信区间= 0.016至0.025)。
这些发现与之前表明温度与枪支暴力之间存在正相关关系的研究一致,并进一步支持温度攻击理论作为主要的因果机制。