Association between mobile phone traffic volume and road crash fatalities: A population-based case-crossover study
Association between mobile phone traffic volume and road crash fatalities: A population-based case-crossover study
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DOI：
10.1016/j.aap.2018.03.008
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发表时间：
2018-06-01
影响因子：
5.9
通讯作者：
Forastiere, Francesco
中科院分区：
文献类型：
--
作者：
Gariazzo, Claudio;Stafoggia, Massimo;Forastiere, Francesco
驾驶时使用移动的手机会导致撞车事故，并可能导致死亡。不同的移动的电话使用习惯可能会分散注意力，并显示对事故风险的不同影响;相对重要性的评估与实施预防、缓解和控制措施有关。本研究旨在评估人口水平的移动的电话使用与大城市地区道路交通事故死亡率之间的关系。从意大利七个大都市地区收集了道路交通事故死亡数据，并在时间和空间上与高分辨率移动的电话交通量数据进行了匹配，这些数据包括通话、短信、互联网连接和上传/下载数据。一个案例交叉研究设计，以估计道路交通事故的相对风险增加的每种类型的移动的电话交通量的基础人口目前在事故发生的小区域。通过工作日/周末、一天中的小时数、气象条件和街道密度来评估效果修正。发现道路碰撞率与电话、短信和互联网连接数量呈正相关，风险增加17.2%。（95%置信区间[CI] 7.7，27.6），8.4%（CI 0.7，16.8）和54.6%（CI 34.0，78.5）每增加（以15分钟的间隔）5个呼叫/100人，3个文本/100人，和40个连接/100人。发现了城市之间的微小差异。工作日、夜间和早晨与更多的电话使用和更多的交通事故有关。人口水平上移动的电话使用与道路死亡人数之间的关系很强。严格控制车内的手机可能会带来很大的健康益处。
Use of mobile phones while driving is known to cause crashes with possible fatalities. Different habits of mobile phone use might be distracting forces and display differential impacts on accident risk; the assessment of the relative importance is relevant to implement prevention, mitigation, and control measures. This study aimed to assess the relationship between the use of mobile phones at population level and road crash fatalities in large urban areas. Data on road crashes with fatalities were collected from seven Italian metropolitan areas and matched in time and space with high resolution mobile phone traffic volume data about calls, texts, Internet connections and upload/download data. A case-crossover study design was applied to estimate the relative risks of road accident for increases in each type of mobile phone traffic volumes in underlying population present in the small areas where accidents occurred. Effect modification was evaluated by weekday/weekend, hour of the day, meteorological conditions, and street densities.Positive associations between road crashes rates and the number of calls, texts, and Internet connections were found, with incremental risks of 17.2% (95% Confidence Interval [CI] 7.7, 27.6), 8.4% (CI 0.7, 16.8), and 54.6% (CI 34.0, 78.5) per increases (at 15 min intervals) of 5 calls/100 people, 3 text/100 people, and 40 connections/100 people, respectively. Small differences across cities were detected. Working days, nighttime and morning hours were associated with greater phone use and more road accidents.The relationship between mobile phone use and road fatalities at population level is strong. Strict controls on cellular phone in the vehicle may results in a large health benefit.