nach oben

Quality of Life Research

Erschienen in:

01.02.2014

The association between motor vehicle injuries and health-related quality of life: a longitudinal study of a population-based sample in the United States

verfasst von: Suliman Alghnam, Mari Palta, Patrick L. Remington, John Mullahy, Maureen S. Durkin

Erschienen in: Quality of Life Research | Ausgabe 1/2014

Einloggen, um Zugang zu erhalten

Abstract

Purpose

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.

Methods/approach

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.

Results

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.

Conclusion

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.

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.

Shults, R. A., Jones, B. H., Kresnow, M. J., Langlois, J. A., & Guerrero, J. L. (2004). Disability among adults injured in motor-vehicle crashes in the United States. Journal of Safety Research, 35(4), 447–452.PubMedCrossRef

Fu, A. Z., Qiu, Y., Radican, L., & Luo, N. (2011). Marginal differences in health-related quality of life of diabetic patients with and without macrovascular comorbid conditions in the United States. Quality of Life Research, 20(6), 825–832.PubMedCrossRef

Ringdal, M., Plos, K., Lundberg, D., Johansson, L., & Bergbom, I. (2009). Outcome after injury: Memories, health-related quality of life, anxiety, and symptoms of depression after intensive care. Journal of Trauma, 66, 1226–1233.PubMedCrossRef

Holbrook, T. L., Anderson, J. P., Sieber, W. J., Browner, D., & Hoyt, D. B. (1999). Outcome after major trauma: 12-month and 18-month follow-up results from the Trauma Recovery Project. Journal of Trauma, 46, 765–771.PubMedCrossRef

Michaels, A. J., Michaels, C. E., Smith, J. S., Moon, C. H., Peterson, C., & Long, W. B. (2000). Outcome from injury: General health, work status, and satisfaction 12 months after trauma. Journal of Trauma, 48, 841–848.PubMedCrossRef

Holtslag, H. R., Van Beeck, E. F., Lindeman, E., & Leenen, L. P. (2007). Determinants of long-term functional consequences after major trauma. Journal of Trauma, 62, 919–927.PubMedCrossRef

10.

Aitken, L. M., Davey, T. M., Ambrose, J., Connelly, L. B., Swanson, C., & Bellamy, N. (2007). Health outcomes of adults 3 months after injury. Injury, 38, 19–26.PubMedCrossRef

11.

Christensen, M. C., Banner, C., Lefering, R., Vallejo-Torres, L., & Morris, S. (2011). Quality of life after severe trauma: Results from the global trauma trial with recombinant factor VII. Journal of Trauma, 70, 1524–1531.PubMedCrossRef

12.

Black, J. A., Herbison, G. P., Lyons, R. A., Polinder, S., & Derrett, S. (2011). Recovery after injury: An individual patient data meta-analysis of general health status using the EQ-5D. Journal of Trauma, 71, 1003–1010.PubMedCrossRef

13.

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

14.

Haley, W. E., Roth, D. L., Kissela, B., Perkins, M., & Howard, G. (2011). Quality of life after stroke: A prospective longitudinal study. Quality of Life Research, 20(6), 799–806.PubMedCentralPubMedCrossRef

15.

Read, K. M., Kufera, J. A., Dischinger, P. C., Kerns, T. J., Ho, S. M., Burgess, A. R., et al. (2004). Life-altering outcomes after lower extremity injury sustained in motor vehicle crashes. Journal of Trauma, 57(4), 815–823.PubMedCrossRef

16.

Brasel, K. J., Deroon-Cassini, T., & Bradley, C. T. (2010). Injury severity and quality of life: Whose perspective is important? Journal of Trauma, 68(2), 263–268.PubMedCrossRef

17.

Andersen, D., Ryb, G., Dischinger, P., Kufera, J., & Read, K. (2010). Self-reported health indicators in the year following a motor vehicle crash: A comparison of younger versus older subjects. Annals of Advances in Automotive Medicine, 54, 359–367.PubMedCentralPubMed

18.

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

19.

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.

20.

Nyman, J. A., Barleen, N. A., & Kirdruang, P. (2008). Quality-adjusted life years lost from nonfatal motor vehicle accident injuries. Medical Decision Making, 28(6), 819–828.PubMedCrossRef

21.

U.S. Department of Health and Human Services. (2012). Healthy People 2020; Accessed May 31, 12: http://www.healthypeople.gov/2020/topicsobjectives2020/default.aspx.

22.

Agency for Healthcare Research and Quality web site. Medical Expenditure Panel Survey. Available from: http://www.meps.ahrq.gov/mepsweb/. Accessed October 15, 2011.

23.

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.

24.

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.

25.

The EuroQol Group. Available at: http://www.euroqol.org/download/ref.pdf. Accessed November 11, 2011.

26.

McDowell, I., & Newell, C. (1996). Measuring health: A guide to Rating Scales and Questionnaires (2nd ed.). New York: Oxford University Press.

27.

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

28.

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

29.

Holbrook, T. L., & Hoyt, D. B. (2004). The impact of major trauma: Quality-of-life outcomes are worse in women than in men, independent of mechanism and injury severity. Journal of Trauma, 56(2), 284–290.PubMedCrossRef

30.

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.

31.

Sullivan, P. W., & Ghushchyan, V. (2006). Preference-based EQ-5D index scores for chronic conditions in the United States. Medical Decision Making, 26(4), 410–420.PubMedCentralPubMedCrossRef

32.

Ponsford, J., Hill, B., Karamitsios, M., & Bahar-Fuchs, A. (2008). Factors influencing outcome after orthopedic trauma. Journal of Trauma, 64(4), 1001–1009.PubMedCrossRef

33.

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.

34.

Hu, X.-B., Feng, Z., Fan, Y.-C., Xiong, Z.-Y., & Huang, Q.-W. (2012). Health-related quality-of-life after traumatic brain injury: A 2-year follow-up study in Wuhan, China. Brain Injury, 26(2), 183–187.PubMedCrossRef

35.

Sampalis, S., Liberman, M., Davis, L., Angelopoulos, J., Longo, N., Sampalis, F., et al. (2006). Functional status and quality of life in survivors of injury treated at tertiary trauma centers: What are we neglecting? Journal of Trauma, 60(4), 806–813.PubMedCrossRef

36.

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.

37.

Heeringa, S., West, B., & Berglund, P. (2010). Applied survey data analysis (pp. 140–144). Boca Raton: Chapman & Hall/CRC, Taylor & Francis Group.

38.

Edelman, D., Olsen, M. K., Dudley, T. K., et al. (2002). Impact of diabetes screening on quality of life. Diabetes Care, 25, 1022–1026.PubMedCrossRef

39.

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

40.

Khanna, D., Maranian, P., Palta, M., Kaplan, R. M., Hays, R. D., Cherepanov, D., et al. (2011). Health-related quality of life in adults reporting arthritis: Analysis from the National Health Measurement Study. Quality of Life Research, 20(7), 1131–1140.PubMedCentralPubMedCrossRef

41.

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

42.

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

43.

Kiely, J. M., Brasel, K. J., Guse, C. E., & Weigelt, J. A. (2006). Correlation of SF-12 and SF-36 in a trauma population. Journal of Surgical Research, 132(2), 214–218.PubMedCrossRef

44.

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

45.

Glymour, M. M., Weuve, J., Berkman, L. F., Kawachi, I., & Robins, J. M. (2005). When is baseline adjustment useful in analyses of change? An example with education and cognitive change. American Journal of Epidemiology, 162(3), 267–278.PubMedCrossRef

46.

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.

47.

Holder, Y., Peden, M., Krug, E. G., et al. (2004). Injury surveillance guidelines. Geneva, Switzerland: World Health Organization.

48.

Haider, A. H., Chang, D. C., Haut, E. R., Cornwell, E. E., I. I. I., & Efron, D. T. (2009). Mechanism of injury predicts patient mortality and impairment after blunt trauma. Journal of Surgical Research, 153, 138–142.PubMedCrossRef

49.

Robertson, L. (2007). Injury epidemiology, (3rd ed., p. 14). New York: Oxford University Press.

50.

Overgaard, M., Høyer, C. B., & Christensen, E. F. (2011). Long-term survival and health-related quality of life 6 to 9 years after trauma. Journal of Trauma, 71(2), 435–441.PubMedCrossRef

Titel: The association between motor vehicle injuries and health-related quality of life: a longitudinal study of a population-based sample in the United States
verfasst von: Suliman Alghnam
Mari Palta
Patrick L. Remington
John Mullahy
Maureen S. Durkin
Publikationsdatum: 01.02.2014
Verlag: Springer International Publishing
Erschienen in: Quality of Life Research / Ausgabe 1/2014
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-013-0444-3

Springer Medizin

Abstract

Purpose

Methods/approach

Results

Conclusion

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 1/2014

Assessing psychological well-being: self-report instruments for the NIH Toolbox

Testing the measurement equivalence of paper and interactive voice response system versions of the EORTC QLQ-C30

Fluctuations in appraisal over time in the context of stable versus non-stable health

Psychometric analysis of the Swedish translation of the WHO well-being index

Erratum to: 20th Annual Conference of the International Society for Quality of Life Research

Health-related quality of life in fathers of children with or without developmental disability: the mediating effect of parental stress