Comparison of the predictive power of socio-economic variables, severity of injury and age on long-term outcome of traumatic brain injury: sample-specific variables versus factors as predictors

The primary objective of this study was to measure the predictive power of pre-injury socio-economic status (SES), severity of injury and age variables on the very long-term outcomes of traumatic brain injury (TBI). By applying a within-subjects retroactive follow-up design and a factor analysis, th...

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Bibliographic Details
Published in:Brain injury 2002, Vol.16 (1), p.9-27
Main Authors: Hoofien, Dan, Vakil, Eli, Gilboa, Assaf, Donovick, Peter J., Barak, Ohr
Format: Article
Language:English
Subjects:
Activities of Daily Living
Adult
Age Factors
Age of Onset
Biological and medical sciences
Brain Injuries - complications
Brain Injuries - diagnosis
Brain Injuries - psychology
Family Characteristics
Female
Follow-Up Studies
Humans
Injuries of the nervous system and the skull. Diseases due to physical agents
Male
Medical sciences
Middle Aged
Neuropsychological Tests
Predictive Value of Tests
Prognosis
Retrospective Studies
Social Adjustment
Socioeconomic Factors
Trauma Severity Indices
Traumas. Diseases due to physical agents
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Summary:The primary objective of this study was to measure the predictive power of pre-injury socio-economic status (SES), severity of injury and age variables on the very long-term outcomes of traumatic brain injury (TBI). By applying a within-subjects retroactive follow-up design and a factor analysis, the study also compared the relative power of sample-specific predictors to that of more commonly used variables and conceptually based factors. Seventy-six participants with severe TBI were evaluated at an average of 14 years post-injury with an extensive neuropsychological battery. The results show that pre-injury SES variables predict long-term cognitive, psychiatric, vocational, and social/familial functioning. Measures of severity of injury predict daily functioning, while age at injury fails to predict any of these variables. Sample-specific predictors were more powerful than more commonly used predictors. Implications regarding long-term clinically based and conceptually based prediction, and those regarding comparisons of predictors across samples are further discussed.
ISSN:0269-9052
1362-301X
DOI:10.1080/02699050110088227