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This study had twofold objective: (1) assessing change and dynamic processes over time between severity of aphasia and functional autonomy and (2) examining the temporal relationships between functional autonomy, depressive mood and quality of life in stroke patients with aphasia.
Prospective study of patients with aphasia consecutively included after a first stroke and examined 1 year later at home (n = 101). Assessment included a visual analogical scale assessing QoL, a functional autonomy scale, a severity of aphasia scale, a communication questionnaire and a depression scale. Structural equation modeling was used to estimate competitive models, in which depressive mood or QoL was the ultimate endogenous variable (i.e., vulnerability vs. scar model).
One year after stroke, there were a slight improvement in language impairment (stability coefficient = .61, p < .001) and a moderate improvement in functional autonomy (stability coefficient = .44, p < .001). There were prospective reciprocal effects between severity of aphasia and functional autonomy, i.e., each state exerted a temporal dynamic prediction on the other over time. Cross-sectional results from path analysis showed that depressive mood negatively predicted QoL (i.e., scar model); there was no evidence of the reverse association.
Results and their practical relevance in treatment were discussed. Predicting as soon as possible which factors would be related to late QoL in stroke patients with aphasia is of major importance.
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Royal College of Physicians (2012). National clinical guidelines for stroke. Update Prepared by the intercollegiate working party for stroke. London: Royal College of Physicians.
Kranciukaite, D., Rastenyte, D., Jureniene, K., & Sopagiene, D. (2007). Quality of life in stroke survivors. Medicina,43(9), 736–745. PubMed
Schalock, R. L., & Felce, D. (2004). Quality of life and subjective well-being: Conceptual and measurement issues. In E. Emerson, T. Thompson, T. Parmenter, & C. Hatton (Eds.), International handbook on methods for research and evaluation in intellectual disabilities (pp. 61–80). New York: Wiley.
Costa, D. J. (2015). Reflective, causal, and composite indicators of quality of life: A conceptual or an empirical distinction? Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care & Rehabilitation,. doi: 10.1007/s11136-015-0954-2.
El Hachioui, H., Visch-Brink, E. G., Lingsma, H. F., van de Sandt-Koenderman, M. E., Dippel, D. J., Koudstaal, P. J., et al. (2014). Nonlinguistic cognitive impairment in poststroke aphasia: A prospective study. Neurorehabilitation and Neural Repair,28(3), 273–281. doi: 10.1177/1545968313508467. CrossRefPubMed
Hankin, B. L., Fraley, R. C., Lahey, B. B., & Waldman, I. D. (2005). Is depression best viewed as a continuum or discrete category? A taxometric analysis of childhood and adolescent depression in a population-based sample. Journal of Abnormal Psychology,114(1), 96–110. doi: 10.1037/0021-843X.114.1.96. CrossRefPubMed
Goodglass, H., Kaplan, E., & Barresi, B. (2000). Boston diagnostic aphasia examination 3rd ed. Philadelphia: Lippincott Williams & Wilkins.
Mazaux, J. M., & Orgogozo, J. M. (1986). Echelle d’évaluation de l’aphasie. Paris: ECPA.
Green, J., Forster, A., & Young, J. (2001). A test-retest reliability study of the Barthel Index, the Rivermead Mobility Index, the Nottingham extended Activities of Daily Living Scale and the Frenchay Activities Index in stroke patients. Disability And Rehabilitation: An International, Multidisciplinary Journal,23(15), 670–676. doi: 10.1080/09638280110045382. CrossRef
van Exel, N. A., Scholte op Reimer, W. M., & Koopmanschap, M. A. (2004). Assessment of post-stroke quality of life in cost-effectiveness studies: The usefulness of the Barthel Index and the EuroQoL-5D. Quality Of Life Research: An International Journal Of Quality Of Life Aspects Of Treatment, Care & Rehabilitation,13(2), 427–433. doi: 10.1023/B:QURE.0000018496.02968.50. CrossRef
Darrigrand, B., & Mazaux, J.-M. (2000). Echelle Verbale de Communication de Bordeaux, OrthoEditions.
Rousseaux, M., Delacourt, A., Wyrzykowski, N., & Lefeuvre, M. (2000). Test lillois de communication. Isbergues: Ortho-edition.
Bränholm, I. B., Lundmark, P., Mansson, M., & Fugl-Meyer, A.-R. (1996). On life satisfaction in subjects with neurological disorders. Neurologie Rehabilitation, 2, 63–67.
Arbuckle, J. L. (2009). AMOS 18.0 User’s Guide. Crawfordville, FL: Amos Development Corporation.
MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York, NY: Taylor & Francis Group/Lawrence Erlbaum Associates.
Little, T. D. (2013). Longitudinal structural equation modeling. New York: The Guilford Press.
Benyamini, Y., Roziner, I., Goldbourt, U., Drory, Y., & Gerber, Y. (2013). Depression and anxiety following myocardial infarction and their inverse associations with future health behaviors and quality of life. Annals of Behavioral Medicine,46(3), 310–321. doi: 10.1007/s12160-013-9509-3. CrossRefPubMed
Watila, M. M., & Balarabe, S. A. (2015). Factors predicting post-stroke aphasia recovery. Journal of the Neurological Sciences,352(1–2), 12–18. doi: 10.1016/j.jns.2015.03.020.
Bollen, K. A., & Pearl, J. (2013). Eight myths about causality and structural equation models. In S. Morgan (Ed.), Handbook of causal analysis for social research (pp. 301–328). London: Springer. CrossRef
- Quality of life in aphasic patients 1 year after a first stroke
- Springer International Publishing