The relationship between ambient temperatures and road traffic injuries: a systematic review and meta-analysis

Liang, Mingming; Min, Min; Guo, Xianwei; Song, Qiuxia; Wang, Hao; Li, Ning; Su, Wei; Liang, Qiwei; Ye, Pengpeng; Duan, Leilei; Sun, Yehuan

doi:10.1007/s11356-022-19437-y

Cited by 29 publications

(12 citation statements)

References 85 publications

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“…Associations between extreme environmental temperatures and health outcomes have been well documented (Gao et al 2016;Gasparrini et al 2015). An emerging body of evidence has also linked extreme environmental temperatures and other meteorological conditions with an elevated risk of unintentional injuries such as road and occupational injuries (Gariazzo et al 2021;im Kampe et al 2016;Liang et al 2022;Marinaccio et al 2019;Martínez-Solanas et al 2018;Xing et al 2019). Specifically, extreme environmental temperatures and precipitation events have been associated with an increased risk of road traffic crashes (Basagaña et al 2015;Lee et al 2014;Liu et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Extreme environmental temperatures and motorcycle crashes: a time-series analysis

Zoeram

Yang

Mohammadi

et al. 2022

Environ Sci Pollut Res

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Extreme temperature could affect traffic crashes by influencing road safety, vehicle performance, and drivers’ behavior and abilities. Studies evaluating the impacts of extreme temperatures on the risk of traffic crashes have mainly overlooked the potential role of vehicle air conditioners. The aim of this study, therefore, was to evaluate the effect of exposure to extreme cold and hot temperatures on seeking medical attention due to motorcycle crashes. The study was conducted in Iran by using medical attendance for motorcycle crashes from March 2011 to June 2017. Data on daily minimum, mean and maximum temperature (°C), relative humidity (%), wind velocity (km/h), and precipitation (mm/day) were collected. We developed semi-parametric generalized additive models following a quasi-Poisson distribution with the distributed nonlinear lag model to estimate the immediate and lagged associations (reported as relative risk [RR], and 95% confidence interval [CI]). Between March 2011 and June 2017, 36,079 medical attendances due to motorcycle road traffic crashes were recorded (15.8 ± 5.92 victims per day). In this time period, the recorded temperature ranged from −11.2 to 45.4 °C (average: 25.5 ± 11.0 °C). We found an increased risk of medical attendance for motorcycle crashes (based on maximum daily temperature) at both extremely cold (1st percentile) and hot (99th percentile) temperatures and also hot (75th percentile) temperatures, mainly during lags 0 to 3 days (e.g., RR: 1.12 [95% CI: 1.05: 1.20]; RR: 1.08 [95% CI: 1.01: 1.16]; RR: 1.20 [95% CI: 1.09: 1.32] at lag0 for extremely cold, hot, and extremely hot conditions, respectively). The risk estimates for extremely hot temperatures were larger than hot and extremely cold temperatures. We estimated that 11.01% (95% CI: 7.77:14.06) of the medical attendance for motorcycle crashes is estimated to be attributable to non-optimal temperature (using mean temperature as exposure variable). Our findings have important public health messaging, given the considerable burden associated with road traffic injury, particularly in low- and middle-income countries.

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Section: Introductionmentioning

confidence: 99%

Extreme environmental temperatures and motorcycle crashes: a time-series analysis

Zoeram

Yang

Mohammadi

et al. 2022

Environ Sci Pollut Res

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“…These studies all suggested an association between ambient temperature and RTIs. In a study of meta-analysis using daily mean temperatures, higher temperatures was found to increased the risk of traffic injuries by 2.4% (RR = 1.024, 95% CI 0.939, 1.116) ( 29 ). Basagaña et al ( 30 ) found that for every 1°C increase in maximum temperature, there was a significant increase in the estimated risk (OR = 1.1, 95% CI: 0.1, 2.1) of crashes due to the driver performance factor.…”

Section: Discussionmentioning

confidence: 99%

The effects of ambient temperature on road traffic injuries in Jinan city: a time-stratified case-crossover study based on distributed lag nonlinear model

Li,

Ren,

Zheng

et al. 2024

Front. Public Health

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ObjectivesThe impact of climate change, especially extreme temperatures, on health outcomes has become a global public health concern. Most previous studies focused on the impact of disease incidence or mortality, whereas much less has been done on road traffic injuries (RTIs). This study aimed to explore the effects of ambient temperature, particularly extreme temperature, on road traffic deaths in Jinan city.MethodsDaily data on road traffic deaths and meteorological factors were collected among all residents in Jinan city during 2011–2020. We used a time-stratified case-crossover design with distributed lag nonlinear model to evaluate the association between daily mean temperature, especially extreme temperature and road traffic deaths, and its variation in different subgroups of transportation mode, adjusting for meteorological confounders.ResultsA total of 9,794 road traffic deaths were collected in our study. The results showed that extreme temperatures were associated with increased risks of deaths from road traffic injuries and four main subtypes of transportation mode, including walking, Bicycle, Motorcycle and Motor vehicle (except motorcycles), with obviously lag effects. Meanwhile, the negative effects of extreme high temperatures were significantly higher than those of extreme low temperatures. Under low-temperature exposure, the highest cumulative lag effect of 1.355 (95% CI, 1.054, 1.742) for pedal cyclists when cumulated over lag 0 to 6 day, and those for pedestrians, motorcycles and motor vehicle occupants all persisted until 14 days, with ORs of 1.227 (95% CI, 1.102, 1.367), 1.453 (95% CI, 1.214, 1.740) and 1.202 (95% CI, 1.005, 1.438), respectively. Under high-temperature exposure, the highest cumulative lag effect of 3.106 (95% CI, 1.646, 5.861) for motorcycle occupants when cumulated over lag 0 to 12 day, and those for pedestrian, pedal cyclists, and motor vehicle accidents all peaked when persisted until 14 days, with OR values of 1.638 (95% CI, 1.281, 2.094), 2.603 (95% CI, 1.695, 3.997) and 1.603 (95% CI, 1.066, 2.411), respectively.ConclusionThis study provides evidence that ambient temperature is significantly associated with the risk of road traffic injuries accompanied by obvious lag effect, and the associations differ by the mode of transportation. Our findings help to promote a more comprehensive understanding of the relationship between temperature and road traffic injuries, which can be used to establish appropriate public health policies and targeted interventions.

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“…The study was able to investigate different characteristics of the crashes, and found that the presence of motorcycles or the use of a vehicle on duty produced higher risks. Other studies can be found in a recent systematic review, which reported a statistically significant meta-analyzed RRs of 1.025 for road traffic accidents and of 1.073 for traffic accident injuries (Liang et al, 2022), although the different exposure metrics used in the different studies do not allow a proper interpretation of those pooled estimates.…”

Section: Discussionmentioning

confidence: 99%

“…Many studies have shown that both cold and hot temperatures increase the risk of mortality and of being hospitalized for different health problems (Gasparrini et al, 2015;Song et al, 2017). In recent years, several other studies have documented that ambient temperature can also increase the risk of intentional or unintentional injuries (Basagana et al, 2011;Parks et al, 2020), including occupational injuries (Fatima et al, 2021;Martínez-Solanas et al, 2018;Spector et al, 2019) and motor vehicle crashes (Basagaña et al, 2015;Liang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Ambient temperature and risk of motor vehicle crashes: A countrywide analysis in Spain

Basagaña

Peña-Ramirez

2023

Environmental Research

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The relationship between ambient temperatures and road traffic injuries: a systematic review and meta-analysis

Cited by 29 publications

References 85 publications

Extreme environmental temperatures and motorcycle crashes: a time-series analysis

Extreme environmental temperatures and motorcycle crashes: a time-series analysis

The effects of ambient temperature on road traffic injuries in Jinan city: a time-stratified case-crossover study based on distributed lag nonlinear model

Ambient temperature and risk of motor vehicle crashes: A countrywide analysis in Spain

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