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HIPAA Compliant
ISO 27001 Certified

Actively Recruiting

Phase Not Applicable
Age: 18Years - 60Years
All Genders
ID06201026

Home-Based Mobile App Training to Reduce Fatigue in Newly and Long-Term Diagnosed Multiple Sclerosis Patients A Randomized Study

Led by Centre Hospitalier Universitaire de Saint Etienne · Updated on 2024-10-23

96

Participants Needed

1

Research Sites

10 weeks

Total Duration

AI-Summary

What this Trial Is About

Multiple sclerosis MS is a chronic autoimmune disease affecting the central nervous system, causing a wide range of symptoms including fatigue, which is experienced by 80% of patients. This research aims to evaluate the effects of individualized home-based training, guided by a mobile app, on reducing fatigue in patients with newly and advanced diagnosed MS. The study addresses the need for better exercise therapy personalization, home practice, and early initiation to improve patient outcomes. Participants will be assigned to one of four groups based on their diagnosis stage and exercise type newly diagnosed or advanced MS patients doing either traditional aerobic and resistance exercises at home or individualized exercises guided by a mobile app tailored to their specific disabilities. The individualized program targets muscle strength and cardiorespiratory conditioning. Training is conducted at home, with the mobile app providing guidance for the experimental groups. Throughout the study, participants will be monitored using various assessments including the Fatigue Severity Scale at week 15, muscle biopsies, muscle enzymatic activity, VO2max, strength measurements, balance tests, and questionnaires on quality of life, sleep quality, anxiety, and depression. Data collection occurs up to week 17, with the aim to measure fatigue reduction and physical improvements. The study also tracks safety and adherence over this period, ensuring a comprehensive evaluation of the exercise programs.

CONDITIONS

Brief Title

Effects of Individualized Training to Reduce Fatigue in Patients With Newly and Advanced Diagnosed Multiple Sclerosis

Research Team

J

Jean-Philippe CAMDESSANCHE, PHD

L

Leonard FEASSON, PHD

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