Skip to main content

Advertisement

Log in

Socio-economic status and co-morbidity as risk factors for trauma

  • INJURY EPIDEMIOLOGY
  • Published:
European Journal of Epidemiology Aims and scope Submit manuscript

Abstract

Clinical experience and previous studies indicate that low socioeconomic positions are overrepresented in trauma populations. The reason for this social variation in injury risk is likely to be multifactorial. Both individual and environmental sources of explanation are plausible to contribute. We investigated the impact of the influence of socioeconomic factors and co-morbidity on the risk of becoming a trauma victim in a case–control study including 7,382 trauma patients matched in a one to five ratio with controls matched by age-, gender- and municipality from a level 1 trauma centre. Data from the trauma cohort were linked to national registries. Associations between socioeconomic factors and co-morbidity were estimated by conditional logistic regression. The trauma patients had been treated for psychiatric, substance abuse and somatic diagnoses to a higher extent than the controls. In the conditional logistic regression analysis a low level of education and income as well as co-morbidity (divided into psychiatric, substance abuse and somatic diagnoses) were all independent risk factors for trauma. Analysing patients with an injury severity score >15 separately did not alter the results, except for somatic diagnoses not being a risk factor. Recent treatment for substance abuse significantly increased the risk for trauma. Low level of education and income as well as psychiatric, substance abuse and somatic co-morbidity were all independent risk factors for trauma. Active substance abuse strongly influenced the risk for trauma and had a time dependent pattern. These insights can facilitate future implementation of injury prevention strategies tailored to specific risk groups.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Abbreviations

AIS:

Abbreviated injury scale

CI:

Confidence intervals

ICD-10:

International classification of diseases

IQR:

Interquartile ranges

ISS:

Injury severity score

LISA:

The Longitudinal integration database for health insurance and labour market studies

NBHW:

Swedish national board of health and welfare

SES:

Socioeconomic status

WHO:

World health organization

References

  1. Hanna CL, Hasselberg M, Laflamme L, Moller J. Road traffic crash circumstances and consequences among young unlicensed drivers: a Swedish cohort study on socioeconomic disparities. BMC Public Health. 2010;10:14. doi:10.1186/1471-2458-10-14.

    Article  PubMed Central  PubMed  Google Scholar 

  2. Hasselberg M, Laflamme L. Socioeconomic background and road traffic injuries: a study of young car drivers in Sweden. Traffic Inj Prev. 2003;4(3):249–54. doi:10.1080/15389580309882.

    Article  PubMed  Google Scholar 

  3. Laflamme L. Explaining socio-economic differences in injury risks. Inj Control Saf Promot. 2001;8(3):149–53. doi:10.1076/icsp.8.3.149.3349.

    Article  Google Scholar 

  4. Hollis S, Lecky F, Yates DW, Woodford M. The effect of pre-existing medical conditions and age on mortality after injury. J Trauma. 2006;61(5):1255–60. doi:10.1097/01.ta.0000243889.07090.da.

    Article  PubMed  Google Scholar 

  5. McGwin G Jr, MacLennan PA, Fife JB, Davis GG, Rue LW 3rd. Pre existing conditions and mortality in older trauma patients. J Trauma. 2004;56(6):1291–6.

    Article  PubMed  Google Scholar 

  6. Brattstrom O, Larsson E, Granath F, Riddez L, Bell M, Oldner A. Time dependent influence of host factors on outcome after trauma. Eur J Epidemiol. 2012;27(3):233–41. doi:10.1007/s10654-012-9651-4.

    Article  PubMed  Google Scholar 

  7. Danielson CK, Amstadter AB, Dangelmaier RE, Resnick HS, Saunders BE, Kilpatrick DG. Trauma-related risk factors for substance abuse among male versus female young adults. Addict Behav. 2009;34(4):395–9. doi:10.1016/j.addbeh.2008.11.009.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Friedman LS. Dose-response relationship between in-hospital mortality and alcohol following acute injury. Alcohol. 2012;46(8):769–75. doi:10.1016/j.alcohol.2012.08.006.

    Article  PubMed  Google Scholar 

  9. Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A. The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol. 2009;24(11):659–67. doi:10.1007/s10654-009-9350-y.

    Article  PubMed Central  PubMed  Google Scholar 

  10. Ludvigsson JF, Andersson E, Ekbom A, Feychting M, Kim JL, Reuterwall C, et al. External review and validation of the Swedish national inpatient register. BMC Public Health. 2011;11:450. doi:10.1186/1471-2458-11-450.

    Article  PubMed Central  PubMed  Google Scholar 

  11. Gabbe BJ, Magtengaard K, Hannaford AP, Cameron PA. Is the Charlson Comorbidity index useful for predicting trauma outcomes? Acad Emerg Med. 2005;12(4):318–21. doi:10.1197/j.aem.2004.12.002.

    Article  PubMed  Google Scholar 

  12. Shoko T, Shiraishi A, Kaji M, Otomo Y. Effect of pre-existing medical conditions on in-hospital mortality: analysis of 20,257 trauma patients in Japan. J Am Coll Surg. 2010;211(3):338–46. doi:10.1016/j.jamcollsurg.2010.04.010.

    Article  PubMed  Google Scholar 

  13. Wutzler S, Maegele M, Marzi I, Spanholtz T, Wafaisade A, Lefering R. Association of preexisting medical conditions with in-hospital mortality in multiple-trauma patients. J Am Coll Surg. 2009;209(1):75–81. doi:10.1016/j.jamcollsurg.2009.03.015.

    Article  PubMed  Google Scholar 

  14. Statistic Sweden. Accessed 20131118.

  15. Laflamme SB, Marie. Hasselberg Socioeconomic differences in injury risks. WHO Regional Office for Europe 2009.

  16. Burrows S, Auger N, Gamache P, Hamel D. Individual and area socioeconomic inequalities in cause-specific unintentional injury mortality: 11-year follow-up study of 2.7 million Canadians. Accid Anal Prev. 2012;45:99–106. doi:10.1016/j.aap.2011.11.010.

    Article  PubMed  Google Scholar 

  17. Chen HY, Ivers RQ, Martiniuk AL, Boufous S, Senserrick T, Woodward M, et al. Socioeconomic status and risk of car crash injury, independent of place of residence and driving exposure: results from the DRIVE Study. J Epidemiol Community Health. 2010;64(11):998–1003. doi:10.1136/jech.2009.091496.

    Article  CAS  PubMed  Google Scholar 

  18. Hasselberg M, Laflamme L. Road traffic injuries among young car drivers by country of origin and socioeconomic position. Int J Public Health. 2008;53(1):40–5.

    Article  PubMed  Google Scholar 

  19. McLaughlin KA, Koenen KC, Hill ED, Petukhova M, Sampson NA, Zaslavsky AM et al. Trauma exposure and posttraumatic stress disorder in a national sample of adolescents. J Am Acad Child Adolesc Psychiatry. 2013;52(8):815–30 e14. doi:10.1016/j.jaac.2013.05.011.

  20. Gubler KD, Davis R, Koepsell T, Soderberg R, Maier RV, Rivara FP. Long-term survival of elderly trauma patients. Arch Surg. 1997;132(9):1010–4.

    Article  CAS  PubMed  Google Scholar 

  21. Lundborg P, Nilsson M, Vikström J. Socioeconomic heterogeneity in the effect of health shocks on earnings-evidence from population-wide data on Swedish workers. Discussion paper series, Forschungsinstitut zur Zukunft der Arbeit, No 6121,. 2011.

  22. Rosvall M, Chaix B, Lynch J, Lindstrom M, Merlo J. The association between socioeconomic position, use of revascularization procedures and five-year survival after recovery from acute myocardial infarction. BMC Public Health. 2008;8:44. doi:10.1186/1471-2458-8-44.

    Article  PubMed Central  PubMed  Google Scholar 

  23. MacKenzie EJ, Rivara FP, Jurkovich GJ, Nathens AB, Frey KP, Egleston BL, et al. A national evaluation of the effect of trauma-center care on mortality. N Engl J Med. 2006;354(4):366–78. doi:10.1056/NEJMsa052049.

    Article  CAS  PubMed  Google Scholar 

  24. Skaga NO, Eken T, Sovik S, Jones JM, Steen PA. Pre-injury ASA physical status classification is an independent predictor of mortality after trauma. J Trauma. 2007;63(5):972–8. doi:10.1097/TA.0b013e31804a571c.

    Article  PubMed  Google Scholar 

  25. Ruchholtz S, Lefering R, Paffrath T, Oestern HJ, Neugebauer E, Nast-Kolb D, et al. Reduction in mortality of severely injured patients in Germany. Dtsch Arztebl Int. 2008;105(13):225–31. doi:10.3238/arztebl.2008.0225.

    PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgments

We are sincerely grateful to our trauma registry nurses Lisbeth Bergendal, Lena Jansson and Katarina Ramsberg-Enegren and Tina Friberg for their invaluable work with the trauma registry. We also thank Dr Timothy Baker for providing linguistic expertise. This study was supported by the Laerdal Foundation, the Magn Bergvall Foundation, the LPS Medical Foundation, the Cancer and Traffic Injury Fund, The Swedish Carnegie Hero Funds, Funds from Karolinska Institutet and the Swedish Society of Medicine. Financial support was also provided through the regional agreement on medical and clinical research (ALF) between Stockholm County Council and Karolinska Institutet.

Conflict of interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Olof Brattström.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brattström, O., Eriksson, M., Larsson, E. et al. Socio-economic status and co-morbidity as risk factors for trauma. Eur J Epidemiol 30, 151–157 (2015). https://doi.org/10.1007/s10654-014-9969-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10654-014-9969-1

Keywords

Navigation