
@article{ref1,
title="Disability and health-related quality-of-life 4 years after a severe traumatic brain injury: a structural equation modelling analysis",
journal="Brain injury",
year="2016",
author="Azouvi, Philippe and Ghout, Idir and Bayen, Eleonore and Darnoux, Emmanuelle and Azerad, Sylvie and Ruet, Alexis and Vallat-Azouvi, Claire and Pradat-Diehl, Pascale and Aegerter, Philippe and Charanton, James and Jourdan, Claire",
volume="30",
number="13-14",
pages="1665-1671",
abstract="OBJECTIVES: To assess predictors and indicators of disability and quality-of-life 4 years after severe traumatic brain injury (TBI), using structural equation modelling (SEM). <br><br>METHODS: The PariS-TBI study is a longitudinal multi-centre inception cohort study of 504 patients with severe TBI. Among 245 survivors, 147 patients were evaluated upon 4-year follow-up, and 85 completed the full assessment. Two outcome measures were analysed separately using SEM: the Glasgow Outcome Scale-extended (GOS-E), to measure disability, and the QOLIBRI, to assess quality-of-life. Four groups of variables were entered in the model: demographics; injury severity; mood and cognitive impairments; somatic impairments. <br><br>RESULTS: The GOS-E was directly significantly related to mood and cognition, injury severity, and somatic impairments. Age and education had an indirect effect, mediated by mood/cognition or somatic deficiencies. In contrast, the only direct predictor of QOLIBRI was mood and cognition. Age and somatic impairments had an indirect influence on the QOLIBRI. <br><br>CONCLUSION: Although this study should be considered as explorative, it suggests that disability and quality-of-life were directly influenced by different factors. While disability appeared to result from an interaction of a wide range of factors, quality-of-life was solely directly related to psycho-cognitive factors.<p /> <p>Language: en</p>",
language="en",
issn="0269-9052",
doi="10.1080/02699052.2016.1201593",
url="http://dx.doi.org/10.1080/02699052.2016.1201593"
}