EventsThe 3rd International Online Conference on Clinical Medicine
Published
This submission belongs to the session S6. Clinical Rehabilitation of the event The 3rd International Online Conference on Clinical Medicine
Published date
12 Nov, 2025
Academic Editor
author-avatarAxel Brandes
Citation
Auwal Abdullahi, Usman Tijjani Bello, Mohammed Etoom, Francesco Lena, Determination of Factors that Influence Self-efficacy and Quality of Life in Patients with Stroke: An Observational Study, in Proceedings of The 3rd International Online Conference on Clinical Medicine, 17 November–19 November 2025, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

Determination of Factors that Influence Self-efficacy and Quality of Life in Patients with Stroke: An Observational Study

Usman Tijjani Bello 1
image
1. Department of Physiotherapy, Bayero University, Kano 700271, Nigeria, Nigeria
2. Department of Rehabilitation Sciences, Faculty of Applied Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan, Jordan
3. Department of Neurology, IRCCS INM Neuromed, Pozzilli (IS), Italy, Italy
Abstract

Objectives: Stroke is a significant cause of disability. In addition, self-efficacy, which is the confidence in one’s ability to carry out a task or achieve a goal, can be affected after a stroke, and reduced self-efficacy can negatively impact quality of life. This study aimed to identify the factors that influence self-efficacy and quality of life in individuals with stroke. Study design: This is a cross-sectional study. Methods: The Stroke Self-Efficacy Questionnaire, the SF-8 questionnaire, the Edinburgh Handedness Questionnaire, and the Modified Rankin Scale were used to assess the participants’ self-efficacy, quality of life, handedness, and level of disability, respectively. Standard linear multiple regression was used to determine the factors that will significantly predict self-efficacy and quality of life. Results: A total of 120 patients with stroke, with a mean age of 46.81±12.75 years, participated in the study. For self-efficacy, the total variance explained by the whole model was significant, accounting for 67.0% of the variance, F(7,120)=13.027, R2=0.449, p<0.001. In the final model, only the level of disability (Beta= -0.585, p<0.001) and time since stroke (Beta= 0.154, p=0.034) significantly predicted self-efficacy, with level of disability as the strongest predictor. For quality of life, the total variance explained by the whole model was significant, accounting for 48.2% of the variance, F(8,120)=4.189, R2=0.232, p<0.001. In the final model, only the level of disability (Beta= -0.259, p=0.018) and self-efficacy (Beta=0.211, p=0.0261) significantly predicted quality of life, with level of disability as the strongest predictor. Conclusions: Time since stroke and level of disability significantly predict self-efficacy after stroke. Similarly, the level of disability and self-efficacy significantly predict quality of life after stroke. Therefore, rehabilitation after a stroke should begin as soon as possible to help improve patients’ self-efficacy.

Keywords
Stroke
disability
rehabilitation
self-efficacy
quality of life
rehabilitation
Hospitalizations due to stroke and access to physiotherapy rehabilitation in the Brazilian Unified Health System (SUS): a 10-year analysis (2015–2024)
Net Survival Following Lung Cancer Resection in North West England: A Pohar–Perme Estimator Analysis