Heo Seulkee, Choi Hayon Michelle, D Berman Jesse, Bell Michelle L
School of the Environment, Yale University, 195 Prospect St, New Haven, CT 06511, USA.
School of the Environment, Yale University, 195 Prospect St, New Haven, CT 06511, USA; Harvard T.H. Chan School of Public Health, Harvard University, 677 Huntington Ave, Boston, MA 02115, USA.
Environ Int. 2025 Jan;195:109246. doi: 10.1016/j.envint.2024.109246. Epub 2024 Dec 30.
Biological and psychological theories suggest complex impacts of heat on aggression and violence. Most previous studies considered temporal intervals of months to years and assumed linear associations. Evidence is needed on daily impacts of temperature on crime, applying non-linear models across different locations. This observational study examined non-linear relationships between daily summer temperature (May-September) and violent crime in 44 cities across 33 US states, 2005-2022. We calculated city-specific average temperature for the event day and previous day (lag0-1) and daily temperature anomalies (deviation from 1985 to 2010 average) using PRISM data. The Uniform Crime Reporting Program data were used to calculate daily city-specific number of violent crimes (n = 2,447,458 incidents). Generalized additive modeling was used to estimate relative risks (RRs) of violent crime. We identified three distinctive shapes (J-shaped, inverted J-shaped, linear) for relationships. The inverted J-shaped curve, indicating higher crime rates at high temperatures below extremely hot temperatures, was most predominant (26 cities). Across all cities, violent crime was 1.03 times higher at high compared to moderate temperatures (90th vs. 50th percentiles) (RR 1.03, 95 % CI: 1.02-1.04). Violent crime was also higher at moderate compared to cold temperatures (50th vs. 10th percentiles) [RR 1.04 (95 % CI: 1.03-1.06)], whereas risk did not differ between extremely high and hot temperature (99th vs. 90th percentiles). Risk during hot days versus moderate temperature days was significantly lower for cities with lower latitude, higher median temperature, higher urban greenspace, and higher percentage of occupied housing units with air conditioners. Risk was higher in cities with 90th percentile temperature anomalies that deviated from the historical temperature record, suggesting implications of climate change on heat-related violence. High daily temperatures are associated with violent crime with differences across locations. Disparities in risks by city-level social and environmental characteristics have implications for climate change strategies.
生物学和心理学理论表明,高温对攻击行为和暴力有复杂的影响。此前的大多数研究考虑的是数月至数年的时间间隔,并假设存在线性关联。需要有证据证明温度对犯罪的日常影响,并在不同地点应用非线性模型。这项观察性研究考察了2005年至2022年美国33个州44个城市夏季每日气温(5月至9月)与暴力犯罪之间的非线性关系。我们使用PRISM数据计算了事件当天和前一天(滞后0至1天)特定城市的平均气温以及每日气温异常值(相对于1985年至2010年平均值的偏差)。统一犯罪报告计划的数据用于计算特定城市每日的暴力犯罪数量(n = 2,447,458起事件)。采用广义相加模型来估计暴力犯罪的相对风险(RRs)。我们确定了三种不同的关系形状(J形、倒J形、线性)。倒J形曲线表明,在极热温度以下的高温时犯罪率较高,这种形状最为常见(26个城市)。在所有城市中,高温时的暴力犯罪比中等温度时高1.03倍(第90百分位数与第50百分位数相比)(RR 1.03,95%置信区间:1.02 - 1.04)。中等温度时的暴力犯罪也比低温时高(第50百分位数与第10百分位数相比)[RR 1.04(95%置信区间:1.03 - 1.06)],而极高温度和高温时的风险没有差异(第99百分位数与第90百分位数相比)。对于纬度较低、中位温度较高、城市绿地较多以及有空调的已居住住房单元比例较高的城市,炎热天气与中等温度天气相比,风险显著较低。在第90百分位数气温异常偏离历史温度记录的城市中,风险较高,这表明气候变化对与高温相关的暴力行为有影响。每日高温与暴力犯罪有关,且不同地点存在差异。城市层面社会和环境特征导致的风险差异对气候变化战略有影响。