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DOI 10.1080/15389588.2019.1633466

Медицинская библиотека · Traffic injury prevention · 2019

Suicide by crashing into a heavy vehicle: Focus on professional drivers using in-depth crash data.

Radun Igor, Parkkari Inkeri, Radun Jenni, Kaistinen Jyrki, Kecklund Göran, Olivier Jake, Tervo Timo, Theorell Töres

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Objective

Road traffic suicides typically involve a passenger car driver crashing his or her vehicle into a heavy vehicle, because death is almost certain due to the large mass difference between these vehicles. For the same reason, heavy-vehicle drivers typically suffer minor injuries, if any, and have thus received little attention in the research literature. In this study, we focused on heavy-vehicle drivers who were involved as the second party in road suicides in Finland.

Methods

We analyzed 138 road suicides (2011-2016) involving a passenger car crashing into a heavy vehicle. We used in-depth road crash investigation data from the Finnish Crash Data Institute.

Results

The results showed that all but 2 crashes were head-on collisions. Almost 30% of truck drivers were injured, but only a few suffered serious injuries. More than a quarter reported sick leave following their crash. Injury insurance compensation to heavy-vehicle drivers was just above €9,000 on average. Material damage to heavy vehicles was significant, with average insurance compensation paid being €70,500. Three out of 4 truck drivers reported that drivers committing suicide acted abruptly and left them little opportunity for preventive action.

Conclusions

Suicides by crashing into heavy vehicles can have an impact on drivers' well-being; however, it is difficult to see how heavy-vehicle drivers could avoid a suicide attempt involving their vehicle.

Для цитирования: Radun Igor, Parkkari Inkeri, Radun Jenni, Kaistinen Jyrki, Kecklund Göran, Olivier Jake, Tervo Timo, Theorell Töres. Suicide by crashing into a heavy vehicle: Focus on professional drivers using in-depth crash data.. Traffic injury prevention. 2019. DOI: 10.1080/15389588.2019.1633466.

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