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Updated: Jan 7, 2026

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
Predicting Quality of Life in Relapsing-Remitting Multiple Sclerosis: Clinical Burden Meets Emotional Balance in
Emilio Rubén Pego Pérez1,2,3, María Lourdes Bermello López4, Eva Gómez Fernández4
1Department of Psychiatry, Radiology, Public Health, Nursing and Medicine, University of Santiago de Compostela, Avda. Xoán XXIII s/n, 15704 Santiago de Compostela, Spain.
Background/Objectives:
Relapsing-remitting multiple sclerosis (RRMS) is a chronic neurological disease that significantly impacts health-related quality of life (HRQoL). This study aimed to analyze the evolution of HRQoL in individuals with RRMS, identify associated factors, and determine predictive variables.
Methods:
A prospective observational study was conducted with 35 participants diagnosed with RRMS at the Lucus Augusti University Hospital between January 2023 and March 2025. HRQoL was assessed using the MSQOL-54 questionnaire at baseline, 3 months, and 6 months. Data were analyzed using non-parametric tests to account for the small sample size and non-normal distribution of the variables.
Results:
Results showed overall stability in HRQoL (mean score: 62.4 ± 14.1 at baseline, 62.8 ± 12.7 at 3 months, and 62.4 ± 11.8 at 6 months), although significant declines were observed in emotional limitations (64.4 ± 23.0 at baseline to 58.9 ± 20.5 at 6 months) and social functioning (70.5 ± 16.7 at baseline to 65.5 ± 12.8 at 6 months). Improvements were noted in pain perception (78.9 ± 23.6 at baseline to 81.8 ± 20.5 at 6 months) and stress (44.3 ± 22.5 at baseline to 48.9 ± 17.8 at 6 months). Factors such as family history (associated with mental health at diagnosis, p = 0.028), autoimmune diseases (associated with physical function at diagnosis, p = 0.035), and lifestyle habits (e.g., tobacco use associated with physical limitations at 3 months, p = 0.045) were significantly associated with HRQoL. Baseline HRQoL emerged as a strong predictor of future scores (Spearman's correlations, p < 0.01), indicating that early assessments may guide interventions.
Conclusions:
Although overall HRQoL remains stable in RRMS, specific domains such as emotional and social functioning exhibit progressive decline, highlighting the need for tailored interventions. The findings underscore the importance of integrating early psychosocial support and lifestyle interventions into routine care to mitigate vulnerabilities in emotional and social domains of HRQoL.
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