Do individual versus illness belief schema differ in the prediction of post-stroke recovery?

Aujla, Navneet and Walker, Marion F. and Sprigg, Nikola and Vedhara, Kavita (2018) Do individual versus illness belief schema differ in the prediction of post-stroke recovery? Journal of Health Psychology . ISSN 1461-7277

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Abstract

This longitudinal observational study examined how individual versus illness belief schema compare as predictors of post-stroke recovery. Forty-two stroke survivors (mean age=66.9 years/range=29-96 years; 68% male), were involved. The primary outcome, Health-Related Quality of Life (HRQL) was measured using EQ-5D-5L; mood using Patient Health Questionnaire-9; and disability using Nottingham Extended Activities of Daily Living Scale. Stroke Illness Perception Questionnaire-Revised measured illness beliefs. Linear regressions showed that individual illness beliefs significantly explained more of the variance in three-month post-stroke recovery than schema (7.4-22.5% versus 1.9-9.9%). Individual versus illness belief schema predict outcomes differently, but which approach predicts outcomes better remains unclear.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/946438
Additional Information: Aujla N, Walker MF, Sprigg N, Vedhara K. Do individual versus illness belief schema differ in the prediction of post-stroke recovery? Journal of Health Psychology 2018: First Published Online: 12 July 2018 doi: 10.1177/1359105318785446. Copyright © 2018 (Copyright Holder). Reprinted by permission of SAGE Publications
Keywords: Common sense model; Illness beliefs; Illness belief schema; Stroke; Mood; Health-related quality of life; Disability; Recovery; Cluster analysis
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Primary Care
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Rehabilitation and Ageing
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Clinical Neuroscience
Identification Number: https://doi.org/10.1177/1359105318785446
Depositing User: Eprints, Support
Date Deposited: 08 Jun 2018 08:17
Last Modified: 04 May 2020 19:46
URI: http://eprints.nottingham.ac.uk/id/eprint/52310

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