Explaining the Association between Driver’s Age and the Risk of Causing a Road Crash through Mediation Analysis
| Autor: | Eladio Jiménez-Mejías, Virginia Martínez-Ruiz, Mario Rivera-Izquierdo, Luis Miguel Martín-delosReyes, Karoline Gomes-Franco |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Risk Automobile Driving Casual Adolescent Health Toxicology and Mutagenesis lcsh:Medicine Younger drivers Road crashes Logistic regression Article Odds road crash 03 medical and health sciences Young Adult 0302 clinical medicine Road crash 0502 economics and business Humans risk factors 030212 general & internal medicine Association (psychology) mediation analysis younger drivers Aged 050210 logistics & transportation 05 social sciences lcsh:R Public Health Environmental and Occupational Health Absolute risk reduction Accidents Traffic Age Factors Odds ratio Middle Aged Confidence interval Logistic Models Risk factors older drivers Case-Control Studies Mediation analysis Female Psychology human activities Demography |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 17, Iss 9041, p 9041 (2020) Digibug: Repositorio Institucional de la Universidad de Granada Universidad de Granada (UGR) International Journal of Environmental Research and Public Health Volume 17 Issue 23 Digibug. Repositorio Institucional de la Universidad de Granada instname |
| ISSN: | 1661-7827 1660-4601 |
| Popis: | It has been widely reported that younger and older drivers have an excess risk of causing a road crash. Two casual hypotheses may coexist: the riskier driving behaviors and age-related mechanisms in extreme age groups (direct path) and the different environmental and vehicle circumstances (indirect path). Our aim was to quantify, through a mediation analysis, the percentage contribution of both paths. A case-control study was designed from the Spanish Register of Road Crashes with victims from 2014 to 2017. Assuming a quasi-induced exposure approach, controls were non-responsible drivers involved in clean collisions between two or more vehicles (n = 52,131). Responsible drivers for these collisions plus drivers involved in single crashes constituted the case group (n = 82,071). A logit model in which the outcome was the log (odds) of causing a road crash and the exposure was age groups was adjusted for driver, vehicle and environmental factors. The highest crash risk was observed in extreme age groups, compared to the 35&ndash 44 year old age group: the youngest (18&ndash 24 years old, odds ratio = 2.14, 95% confidence interval: 2.06&ndash 2.24) and the oldest drivers (> 74 years old, odds ratio = 3.30, 95% confidence interval: 3.04&ndash 2.58). The mediation analysis identified the direct path as the main explanatory mechanism for these increases: 89% in the youngest and 93% in the oldest drivers. These data support the hypothesis that the excess crash risk observed for younger and older drivers is mainly related to their higher frequency of risky driving behaviors and age-related loss of capabilities. Preventive strategies in extreme-aged drivers should focus on decreasing these behaviors. |
| Databáze: | OpenAIRE |
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