Literature DB >> 22691224

Predicting health related quality of life 6 months after stroke: the role of anxiety and upper limb dysfunction.

Jacqui H Morris1, Frederike van Wijck, Sara Joice, Marie Donaghy.   

Abstract

PURPOSE: This study examined the role of anxiety and upper limb dysfunction, amongst other variables, as predictors of health related quality of life (HRQOL) 6 months after stroke. PARTICIPANTS: Stroke survivors (n = 85) who had previously participated in a randomised controlled trial of a physiotherapy intervention. Dependent variable: HRQOL - Nottingham Health Profile (NHP). PREDICTOR VARIABLES: Mood - Hospital Depression and Anxiety Scale; Upper Limb Functioning - Action Research Arm Test; Rivermead Motor Assessment; Activities of Daily Living - Modified Barthel Index; Clinical and demographic factors.
RESULTS: Anxiety and depression significantly predicted 49% of variance in overall HRQOL (p < 0.05), but only anxiety significantly predicted NHP pain (13% variance, p < 0.001), emotional reactions (41% variance, p < 0.001), sleep (19% variance, p = 0.02) and social isolation (23% variance, p = 0.02). Depression and anxiety together significantly predicted 30% variance in energy level (p < 0.001). UL motor impairment and activities of daily living predicted 36% of variance in NHP physical activity score (p < 0.001).
CONCLUSIONS: This study indicates that where anxiety is assessed, it appears more important in determining HRQOL than depression. UL impairment and ADL independence predicted perceived physical activity. Management strategies for anxiety and therapy for UL recovery long after stroke onset are likely to benefit perceived HRQOL.

Entities:  

Mesh:

Year:  2012        PMID: 22691224     DOI: 10.3109/09638288.2012.691942

Source DB:  PubMed          Journal:  Disabil Rehabil        ISSN: 0963-8288            Impact factor:   3.033


  43 in total

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9.  A Novel Wearable Device for Motor Recovery of Hand Function in Chronic Stroke Survivors.

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10.  High Prevalence of Post-stroke Anxiety in Elderly Patients Following COVID-19 Outbreak.

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