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Severity of injuries in different modes of transport, expressed with disability-adjusted life years (DALYs).


Type

Article

Change log

Authors

Olkowicz, Dorota 
Teresiński, Grzegorz 
de Nazelle, Audrey 
Nieuwenhuijsen, Mark J 

Abstract

BACKGROUND: Health impact assessment (HIA) studies are increasingly predicting the health effects of mode shifts in traffic. The challenge for such studies is to combine the health effects, caused by injuries, with the disease driven health effects, and to express the change in the health with a common health indicator. Disability-adjusted life year (DALY) combines years lived disabled or injured (YLD) and years of life lost (YLL) providing practical indicator to combine injuries with diseases. In this study, we estimate the average YLDs for one person injured in a transport crash to allow easy to use methods to predict health effects of transport injuries. METHODS: We calculated YLDs and YLLs for transport fatalities and injuries based on the data from the Swedish Traffic Accident Data Acquisition (STRADA). In STRADA, all the fatalities and most of the injuries in Sweden for 2007-2011 were recorded. The type of injury was recorded with the Abbreviated Injury Scale (AIS) codes. In this study these AIS codes were aggregated to injury types, and YLDs were calculated for each victim by multiplying the type of injury with the disability weight and the average duration of that injury. YLLs were calculated by multiplying the age of the victim with life expectancy of that age and gender. YLDs and YLLs were estimated separately for different gender, mode of transport and location of the crash. RESULTS: The average YLDs for injured person was 14.7 for lifelong injuries and 0.012 for temporal injuries. The average YLDs per injured person for lifelong injuries for pedestrians, cyclists and car occupants were 9.4, 12.8 and 18.4, YLDs, respectively. Lifelong injuries sustained in rural areas were on average 31% more serious than injuries in urban areas. CONCLUSIONS: The results show that shifting modes of transport will not only change the likelihood of injuries but also the severity of injuries sustained, if injured. The results of this study can be used to predict DALY changes in HIA studies that take into account mode shifts between different transport modes, and in other studies predicting the health effects of traffic injuries.

Description

Keywords

Abbreviated Injury Scale, Accidents, Traffic, Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Disabled Persons, Female, Health Impact Assessment, Humans, Infant, Infant, Newborn, Life Expectancy, Male, Middle Aged, Sweden, Young Adult

Journal Title

BMC Public Health

Conference Name

Journal ISSN

1471-2458
1471-2458

Volume Title

14

Publisher

Springer Science and Business Media LLC
Sponsorship
Economic and Social Research Council (ES/G007462/1)
Medical Research Council (MR/K023187/1)
Wellcome Trust (087636/Z/08/Z)
We would like to thank Jan Ifver from the Swedish Transport agency for providing us the STRADA data and Tomasz Szreniawski from the Systems Research Institute, Poland, for helping with the data organizing. The work is part of the European-wide project Transportation Air pollution and Physical ActivitieS: an integrated health risk assessment progamme of climate change and urban policies (TAPAS)(http://www.tapas-program.org/), which has partners in Barcelona, Basel, Copenhagen, Paris, Prague and Warsaw. TAPAS is a four year project (partly) funded by the Coca-Cola Foundation, AGAUR, and CREAL. The funders have no role in the planning of study design; in the collection, analysis, and interpretation of data; in the writing of the report; and in the decision to submit the article for publication. All authors are independent from the funders. The work was undertaken under the auspices of the Centre for Diet and Activity Research (CEDAR), a UKCRC Public Health Research Centre of Excellence which is funded by the British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, the National Institute for Health Research, and the Wellcome Trust. MT’s work has also been funded by the Ministry of Science and Higher Education through the Iuventus Plus project number IP2011 055871.