Lio Chon-Fu, Cheong Hou-Hon, Un Chon-Hou, Lo Iek-Long, Tsai Shin-Yi
Macau Association of Health Service Executives, Macau SAR, China.
Department of Laboratory Medicine, Mackay Memorial Hospital, Taipei, Department of Medicine, Graduate Institute of Long-Term Care, Graduate Institute of Biomedical Sciences, Mackay Medical College, New Taipei City, Taiwan.
PeerJ. 2019 Feb 12;7:e6438. doi: 10.7717/peerj.6438. eCollection 2019.
Correlation analysis and multiple linear regression analysis were conducted to estimate the influence of meteorological factors on road traffic injuries stratified by severity. Crash rate was defined as mean monthly road traffic accidents per 1,000 vectors.
Ecological time-series study.
Macao traffic accident registry database between January 1st, 2001 and November 31st, 2016.
In total, 393,176 traffic accidents and 72,501 cases of road traffic injuries (RTIs) were enrolled; patients' severity was divided into mild injury, required hospitalisation, and death.
Variation of monthly meteorological factors.
Weather-condition-related road traffic accidents, injuries, and deaths.
Windy weather significantly correlated with increased number of traffic accidents among all transport vectors ( = .375 to .637; < 0.001). Multiple linear regression showed temperature ( = 0.704; < 0.05) and humidity ( = - 0.537; < 0.001) were independent factors for mild injury. The role of windy weather was relatively more obvious among patients with severe injuries ( = 0.304; < 0.001) or those who died ( = 0.015; < 0.001). A longer duration of sunshine was also associated to RTI-related deaths ( = 0.015; < 0.001). In total, 13.4% of RTIs were attributable to meteorological factors and may be preventable.
The World Health Organization stated that RTIs are a major but neglected public health challenge. This study demonstrates meteorological factors have significant effects on any degree of RTIs. The results may not be generalized to other climates or populations while the findings may have implications in both preventing injuries and to announce safety precautions regarding trauma and motor vehicle collisions to the general public by public agencies.
进行相关性分析和多元线性回归分析，以评估气象因素对按严重程度分层的道路交通伤害的影响。事故率定义为每1000辆车每月的平均道路交通事故数。
生态时间序列研究。
2001年1月1日至2016年11月31日期间的澳门交通事故登记数据库。
共纳入393,176起交通事故和72,501例道路交通伤害（RTI）病例；患者的严重程度分为轻伤、需住院治疗和死亡。
每月气象因素的变化。
与天气状况相关的道路交通事故、伤害和死亡情况。
大风天气与所有运输工具的交通事故数量增加显著相关（r = 0.375至0.637；P < 0.001）。多元线性回归显示，温度（r = 0.704；P < 0.05）和湿度（r = -0.537；P < 0.001）是轻伤的独立影响因素。大风天气在重伤患者（r = 0.304；P < 0.001）或死亡患者（r = 0.015；P < 0.001）中的作用相对更明显。日照时间较长也与RTI相关死亡有关（r = 0.015；P < 0.001）。总的来说，13.4%的RTI可归因于气象因素，可能是可预防的。
世界卫生组织指出，RTI是一个重大但被忽视的公共卫生挑战。本研究表明气象因素对任何程度的RTI都有显著影响。虽然这些结果可能不适用于其他气候或人群，但这些发现可能对预防伤害以及公共机构向公众宣传有关创伤和机动车碰撞的安全预防措施具有重要意义。
