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As many as 3 million US residents are injured in traffic-related incidents every year leaving many victims with disabling conditions. To date, limited numbers of studies have examined the effects of traffic-related injuries on self-reported health. This study aims to examine the association between health-related quality of life (HRQOL) and traffic-related injuries longitudinally in a nationally representative sample of US adult population.
This is a longitudinal study of adult participants (age ≥18) from seven panels (2000–2007) of the Medical Expenditure Panel Survey. The dependent variables included the physical and mental components of the SF-12, a measure of self-reported health. The outcome was assessed twice during the follow-up period: round 2 (~4–5 months into the study) and round 4 (~18 months into the study) for 62,298 individuals. Two methods estimate the association between traffic-related injuries and HRQOL: a within person change using paired tests and a between person change using multivariable regression adjusting for age, sex, income and educational level.
Nine hundred and ninety-three participants reported traffic-related injuries during the follow-up period. Compared to their pre-crash HRQOL, these participants lost 2.7 of the physical component score while their mental component did not change. Adjusted results showed significant deficits in the physical component (−2.84, p value = <.001) but not the mental component (−0.07, p value = .83) of HRQOL after controlling for potential confounders.
Traffic injuries were significantly associated with the physical component of HRQOL. These findings highlight the individual and societal burden associated with motor vehicle crash-related disability in the United States.
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Road Safety Status; World Health Organization website. Accessed November 5. http://www.who.int/violence_injury_prevention/road_safety_status/2009/en/index.html.
Murray, C. J., Vos, T., & Lozano, R. N. M. (2013). Global burden of disease. (Seatle, 2013) at http://www.healthmetricsandevaluation.org/gbd/visualizations/gbd-2010-change-leading-causes-and-risks-between-1990-and-2010?cr=risk&metric=DALY.
National Highway Traffic Safety Administration [NHTSA]. (2003). Motor vehicle traffic crash injury and fatality estimates: 2002 early assessment. (Report No. DOT HS 809 586). Washington, DC: U.S. Department of Transportation.
Alonso, J., Ferrer, M., Gandek, B., Ware, J. E., Jr, Aaronson, N. K., Mosconi, P., et al. (2004). Health-related quality of life associated with chronic conditions in eight countries: Results from the International Quality of Life Assessment (IQOLA) project. Quality of Life Research, 13(2), 283–298. PubMedCrossRef
Pons-Villanueva, J., Rodríguez de Armenta, M. J., Martínez-González, M. A., & Seguí-Gómez, M. D. (2011). Longitudinal assessment of quality of life and its change in relation to motor vehicle crashes: The SUN (Seguimiento Universidad de Navarra) Cohort. Journal of Trauma, 70(5), 1072–1077. PubMedCrossRef
Ameratunga, S. N., Norton, R. N., Connor, J. L., Robinson, E., Civil, I., Coverdale, J., Bennett, D., & Jackson, R. T. (2006). A population-based cohort study of longer-term changes in health of car drivers involved in serious crashes. Annals of Emergency Medicine, 48(6), 729–36. Epub 2006 Sep 25.
U.S. Department of Health and Human Services. (2012). Healthy People 2020; Accessed May 31, 12: http://www.healthypeople.gov/2020/topicsobjectives2020/default.aspx.
Agency for Healthcare Research and Quality web site. Medical Expenditure Panel Survey. Available from: http://www.meps.ahrq.gov/mepsweb/. Accessed October 15, 2011.
Ware, J., et al. (1996). How to score the SF- 12 physical and mental health summary scales, 2nd ed. Lincoln RI: Quality Metric, Inc., and the Health Assessment Lab.
Ware, J., Kosinski, M., Turner-Bowker, D., & Gandek, B. (2002). SF12v2: How to score version 2 of the SF-12 health survey. Lincoln, RI: QualiyMetric Incorporated.
The EuroQol Group. Available at: http://www.euroqol.org/download/ref.pdf. Accessed November 11, 2011.
McDowell, I., & Newell, C. (1996). Measuring health: A guide to Rating Scales and Questionnaires (2nd ed.). New York: Oxford University Press.
Thomas, D. R., & Rao, J. N. K. (1987). Small sample comparison of level and power for simple goodness-of-fit statistics under cluster sampling. Journal of American Statistical Association, 82, 630–636. CrossRef
Holbrook, T. L., Hoyt, D. B., Coimbra, R., Potenza, B., Sise, M. J., Sack, D. I., et al. (2007). Trauma in adolescents causes long-term marked deficits in quality of life: Adolescent children do not recover preinjury quality of life or function up to two years postinjury compared to national norms. Journal of Trauma, 62(3), 577–583. PubMedCrossRef
Ellis, J. J., Eagle, K. A., Kline-Rogers, E. M., & Erickson, S. R. (2005). Validation of the EQ-5D in patients with a history of acute coronary syndrome. Current Medical Research and Opinion [0300- 7995] Ellis 21(8), 1209–1216.
Yang, Z., Lowe, A. J., de la Harpe, D. E., & Richardson, M. D. (2010). Factors that predict poor outcomes in patients with traumatic vertebral body fractures. Injury, 41(2), 226–230. Epub 2009 Nov 3.
Jia, H., & Lubetkin, E. I. (2005). The impact of obesity on health-related quality-of-life in the general adult US population. Journal of Public Health (Oxford), 27(2), 156–164. Epub 2005 Apr 8.
Heeringa, S., West, B., & Berglund, P. (2010). Applied survey data analysis (pp. 140–144). Boca Raton: Chapman & Hall/CRC, Taylor & Francis Group.
Cheak-Zamora, N. C., Wyrwich, K. W., & McBride, T. D. (2009). Reliability and validity of the SF-12v2 in the Medical Expenditure Panel Survey. Quality Life Research, 18, 727–735. CrossRef
MacKenzie, E. J., McCarthy, M. L., Ditunno, J. F., Forrester-Staz, C., Gruen, G. S., Marion, D. W., et al. (2002). Pennsylvania Study Group on Functional Outcomes Following Trauma. Using the SF-36 for characterizing outcome after multiple trauma involving head injury. Journal of Trauma, 52(3), 527–534. PubMedCrossRef
Tøien, K., Bredal, I. S., Skogstad, L., Myhren, H., & Ekeberg, O. (2011). Health related quality of life in trauma patients. Data from a one-year follow up study compared with the general population. Scand Journal of Trauma Resuscitation Emergency Medicine, 19, 22. CrossRef
Langley, J., Derrett, S., Davie, G., Ameratunga, S., & Wyeth, E. (2011). A cohort study of short-term functional outcomes following injury: The role of pre-injury socio-demographic and health characteristics, injury and injury-related healthcare. Health Qual Life Outcomes, 9, 68. PubMedCentralPubMedCrossRef
Vittinghoff, E., Glidden, D. V., Shiboski, S. C., & Charles, E. (2005). McCulloch regression methods in biostatistics: Linear, logistic, survival, and repeated measures models (pp. 33, 263–266). New York: Springer Science + Business Media Inc.
Holder, Y., Peden, M., Krug, E. G., et al. (2004). Injury surveillance guidelines. Geneva, Switzerland: World Health Organization.
Robertson, L. (2007). Injury epidemiology, (3rd ed., p. 14). New York: Oxford University Press.
- The association between motor vehicle injuries and health-related quality of life: a longitudinal study of a population-based sample in the United States
Patrick L. Remington
Maureen S. Durkin
- Springer International Publishing