Is there a relation between neuropsychologic variables and quality of life after stroke?
Hochstenbach JB, Anderson PG, van Limbeek J, Mulder TT. Is there a relation between neuropsychologic variables and quality of life after stroke? Arch Phys Med Rehabil 2001;82:1360-6. Objectives: To describe the quality of life (QOL) of stroke patients and to distill neuropsychologic predictors for p...
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Veröffentlicht in: | Archives of physical medicine and rehabilitation 2001-10, Vol.82 (10), p.1360-1366 |
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Zusammenfassung: | Hochstenbach JB, Anderson PG, van Limbeek J, Mulder TT. Is there a relation between neuropsychologic variables and quality of life after stroke? Arch Phys Med Rehabil 2001;82:1360-6. Objectives: To describe the quality of life (QOL) of stroke patients and to distill neuropsychologic predictors for poor QOL. Design: A cohort study in which patients were neuropsychologically assessed at a mean of 72.2 days after stroke, with follow-up at a mean of 9.8 months after stroke. Setting: Research department of a rehabilitation center. Patients: A consecutive sample of 164 stroke patients (mean age, 55.2yr) recruited from a university hospital, a regional hospital, and a rehabilitation center. Interventions: Not applicable. Main Outcome Measures: Orientation, memory, attention and concentration, visuospatial and visuoconstructive functions, language, and arithmetic skills were assessed with neuropsychologic tests. QOL was assessed with the Sickness Impact Profile (SIP). Results: An overall mean SIP score ± standard deviation of 20 ± 11 showed that stroke has a high impact on everyday functioning. Further analyses indicated that QOL is related in particular to tests measuring spatiotemporal and/or sequential aspects of behavior. Forward/backward stepwise regression analysis (n = 106) showed that poor QOL was more likely if patients had a poor result on the Trailmaking Test (TMT) B and/or were women. Conclusion: The predictive value of the TMT is most effective and very useful because the TMT is a short and economical procedure. However, the gender-related aspects of recovery deserve more attention, as does the possible bias that can be caused by the composition of a measurement. Further research is needed to refine predictive models that are needed to facilitate the development of more adequate, individual rehabilitation programs. © 2001 by the American Congress of Rehabilitation Medicine and the American Academy of Physical Medicine and Rehabilitation |
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ISSN: | 0003-9993 1532-821X |
DOI: | 10.1053/apmr.2001.25970 |