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Patterns of alcohol use 1 year after traumatic brain injury: A population-based, epidemiological study

Published online by Cambridge University Press:  04 May 2005

MICHAEL DAVID HORNER
Affiliation:
Mental Health Service, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, SC Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC
PAMELA L. FERGUSON
Affiliation:
Department of Biometry and Epidemiology, Medical University of South Carolina, Charleston, SC
ANBESAW W. SELASSIE
Affiliation:
Department of Biometry and Epidemiology, Medical University of South Carolina, Charleston, SC
LAWRENCE A. LABBATE
Affiliation:
Mental Health Service, Ralph H. Johnson Department of Veterans Affairs Medical Center, Charleston, SC Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC
KATHRYN KNIELE
Affiliation:
Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC
JOHN D. CORRIGAN
Affiliation:
Department of Physical Medicine and Rehabilitation, The Ohio State University, Columbus, OH

Abstract

This study delineated patterns of alcohol use 1 year after traumatic brain injury (TBI) in a large, population-based, epidemiological, nonclinical sample, and identified predictors of heavy alcohol use in these individuals. Participants were 1,606 adults identified by review of a South Carolina statewide hospital discharge data set, on the basis of satisfying the Centers for Disease Control case definition of TBI, and were interviewed by telephone 1 year after TBI-related discharge. Alcohol use in the month prior to interview was classified according to categories from the Quantity–Frequency–Variability Index; heavy drinking was defined as nearly daily use with ≥ 5 drinks at least occasionally, or at least three occasions with ≥ 5 drinks. A polychotomous logistic regression with 3 response levels (heavy, moderate, and abstinent/infrequent/light drinking) was used to identify predictors of heavy drinking. Heavy drinking in the month prior to interview was reported by 15.4% of participants, while 14.3% reported moderate drinking and 70.3% reported abstinence or light/infrequent drinking. Risk factors for heavy drinking included male gender, younger age, history of substance abuse prior to TBI, diagnosis of depression since TBI, fair/moderate mental health, and better physical functioning. There was no association between drinking patterns and TBI severity. (JINS, 2005, 11, 322–330.)

Type
Research Article
Copyright
© 2005 The International Neuropsychological Society

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References

REFERENCES

Association for the Advancement of Automotive Medicine. (1990). The Abbreviated Injury Scale, 1990 Revision. Des Plaines, IL: Association for the Advancement of Automotive Medicine.
Bombardier, C.H., Rimmele, C.T., & Zintel, H. (2002). The magnitude and correlates of alcohol and drug use before traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 83, 17651773.CrossRefGoogle Scholar
Burnett, D.M., Silver, T.M., Kolakowsky-Hayner, S.A., & Cifu, D.X. (2000). Functional outcome for African Americans and Hispanics treated at a traumatic brain injury model systems centre. Brain Injury, 14, 713718.Google Scholar
Cahalan, D. & Cisin, I. (1968a). American drinking practices: Summary of findings from a national probability sample. I. Extent of drinking by population subgroups. Quarterly Journal of Studies on Alcohol, 29, 130151.Google Scholar
Cahalan, D. & Cisin, I. (1968b). American drinking practices: Summary of findings from a national probability sample. II. Measurement of massed versus spaced drinking. Quarterly Journal of Studies on Alcohol, 29, 642656.Google Scholar
Center for Injury Research Policy of The Johns Hopkins University School of Public Health. (1997). ICMAP–90 software. Baltimore, MD: The Johns Hopkins University and Tri-Analytics, Inc.
Centers for Disease Control. (2003). Behavioral Risk Factor Surveillance System. Retrieved on 04/16/04, from http://www.cdc.gov/brfss/index.htm
Corrigan, J.D. (1995). Substance abuse as a mediating factor in outcome from traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 76, 302309.Google Scholar
Corrigan, J.D., Rust, E., & Lamb-Hart, G.L. (1995). The nature and extent of substance abuse problems in persons with traumatic brain injury. Journal of Head Trauma Rehabilitation, 10, 2946.CrossRefGoogle Scholar
Corrigan, J.D., Smith-Knapp, K., & Granger, C.V. (1998). Outcomes in the first 5 years after traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 79, 298305.Google Scholar
Corrigan, J.D., Bogner, J.A., & Lamb-Hart, G. (1999). Substance abuse and brain injury. In M. Rosenthal, E.R. Griffith, J.S. Kreutzer, & B. Pentland (Eds.), Rehabilitation of the adult and child with traumatic brain injury (3rd ed., pp. 556571). Philadelphia: F.A. Davis Co.
Corrigan, J.D., Bogner, J., Lamb-Hart, G., & Sivak-Sears, N. (2003). Problematic substance use identified in the TBI Model Systems National Dataset. Retrieved on 04/16/04, from http://www.tbims.org/combi/subst/SubUse.pdf
Darlington, G.A. (1998). Collinearity. In P. Armitage & T. Colton (Eds.), Encyclopedia of biostatistics (pp. 788789). Chichester, West Sussex, UK: John Wiley & Sons.
Diener, E. (1984). Subjective well-being and the Satisfaction with Life Scale. Psychological Bulletin, 95, 542575.CrossRefGoogle Scholar
Dikmen, S.S., Machamer, J.E., Donovan, D.M., Winn, H.R., & Temkin, N.R. (1995). Alcohol use before and after traumatic head injury. Annals of Emergency Medicine, 26, 167176.CrossRefGoogle Scholar
Ellerd, D.A. & Moore, S.C. (1992). Follow-up at twelve and thirty months of persons with traumatic brain injury engaged in supported employment placements. Journal of Applied Rehabilitation Counseling, 23, 4850.Google Scholar
Findler, M., Cantor, J., Haddad, L., Gordon, W., & Ashman, T. (2001). The reliability and validity of the SF-36 health survey questionnaire for use with individuals with traumatic brain injury. Brain Injury, 15, 715723.CrossRefGoogle Scholar
Gentilello, L.M., Rivara, F.P., Donovan, D.M., Jurkovich, G.J., Daranciang, E., Dunn, C.W., Villaveces, A., Copass, M., & Ries, R.R. (1999). Alcohol interventions in a trauma center as a means of reducing the risk of injury recurrence. Annals of Surgery, 230, 473480.CrossRefGoogle Scholar
Hibbard, M.R., Uysal, S., Kepler, K., Bogdany, J., & Silver, J. (1998). Axis I psychopathology in individuals with traumatic brain injury. Journal of Head Trauma Rehabilitation, 13, 2439.CrossRefGoogle Scholar
Kolakowsky-Hayner, S.A., Gourley, E.V., Kreutzer, J.S., Marwitz, J.H., Cifu, D.X., & McKinley, W.O. (1999). Pre-injury substance abuse among persons with brain injury and spinal cord injury. Brain Injury, 13, 571581.Google Scholar
Kolakowsky-Hayner, S.A., Gourley, E.V., Kreutzer, J.S., Marwitz, J.H., Meade, M.A., & Cifu, D.X. (2002). Post-injury substance abuse among persons with brain injury and persons with spinal cord injury. Brain Injury, 16, 583592.Google Scholar
Koponen, S., Taiminen, T., Portin, R., Himanen, L., Isoniemi, H., Heinonen, H., Hinkka, S., & Tenovuo, O. (2002). Axis I and II psychiatric disorders after traumatic brain injury: A 30-year follow-up study. American Journal of Psychiatry, 159, 13151321.CrossRefGoogle Scholar
Kreutzer, J.S., Wehman, P.H., Harris, J.A., Burns, C.T., & Young, H.F. (1991). Substance abuse and crime patterns among persons with traumatic brain injury referred for supported employment. Brain Injury, 5, 177187.CrossRefGoogle Scholar
Kreutzer, J.S., Witol, A.D., & Marwitz, J.H. (1996a). Alcohol and drug use among young persons with traumatic brain injury. Journal of Learning Disabilities, 29, 643651.Google Scholar
Kreutzer, J.S., Witol, A.D., Sander, A.M., & Cifu, D.X. (1996b). A prospective longitudinal multicenter analysis of alcohol use patterns among persons with traumatic brain injury. Journal of Head Trauma Rehabilitation, 11, 5869.Google Scholar
MacKenzie, E.J., McCarthy, M.L., Ditunno, J.F., Forrester-Staz, C., Gruen, G.S., Marion, D.W., & Schwab, W.C. (2002). Using the SF-36 for characterizing outcome after multiple trauma involving head injury. Journal of Trauma Injury, Infection, and Critical Care, 52, 527534.Google Scholar
MacMillan, P.J., Hart, R.P., Martelli, M.F., & Zasler, N.D. (2002). Pre-injury status and adaptation following traumatic brain injury. Brain Injury, 16, 4149.Google Scholar
Massagli, T.L., Michaud, L.J., & Rivara, F.P. (1996). Association between injury indices and outcome after severe traumatic brain injury in children. Archives of Physical Medicine and Rehabilitation, 77, 25132.Google Scholar
McCaffrey, R.J., Pollock, J., & Burns, P.G. (1987). An archival analysis of the needs of head injured survivors in New York State: Preliminary findings. International Journal of Clinical Neuropsychology, 9, 174177.Google Scholar
Pavot, W. & Diener, E. (1993). Review of Satisfaction with Life Scale. Psychological Assessment, 5, 164172.CrossRefGoogle Scholar
SAS Institute, I. (2001). Statistical Analytical Software. Version 8.2. Cary, NC: Author.
Sherer, M., Bergloff, P., High, W., & Nick, T.G. (1999). Contribution of functional rating to prediction of long-term employment outcome after traumatic brain injury. Brain Injury, 13, 973981.Google Scholar
Silver, J.M., Kramer, R., Greenwald, S., & Weissman, M.A. (2001). The association between head injuries and psychiatric disorders: Findings from the New Haven NIMH Epidemiologic Catchment Area Study. Brain Injury, 15, 935945.Google Scholar
Stokes, M.E., Davis, C.S., & Koch, G.G. (1995). Logistic regression II: Polytomous response. In Categorical data analysis using the SAS system (pp. 217246). Cary, NC: SAS Institute, Inc.
Teasdale, G. & Jennett, B. (1974). Assessment of coma and impaired consciousness: A practical scale. Lancet, 2, 8184.CrossRefGoogle Scholar
Thurman, D.J., Sniezek, J.E., Johnson, D., Greenspan, A., & Smith, S.M. (1995). Guidelines for surveillance of central nervous system injury. Atlanta, GA: Centers for Disease Control and Prevention.
Van Reekum, R., Bolago, I., Finlayson, M.A., Garner, S., & Links, P.S. (1996). Psychiatric disorders after traumatic brain injury. Brain Injury, 10, 319327.CrossRefGoogle Scholar
Ware, J.E. (1993). SF-36 Health Survey manual and interpretation guide. Boston: The Health Institute, New England Medical Center.