Physical exercise program via telemonitoring during the COVID-19 pandemic for individuals with Parkinson's disease: intervention development study
DOI:
https://doi.org/10.20338/bjmb.v16i1.251Keywords:
Parkinson’s disease, Rehabilitation, Home-based, Telehealth, Remote-program, Exercise-therapyAbstract
BACKGROUND: To mitigate the COVID-19 pandemic, social isolation was needed. Since individuals with Parkinson’s disease (PD) have a high risk if catching the COVID-19, and physical exercise is one of the most effective treatments for this disease. In this scenario home-based exercise is a great solution to minimize losses by inactivity.
AIM: To report the process of development of a remote physical exercise program based on a face-to-face physical exercise program.
METHOD: We transform a one-hour-session-twice-a-week face-to-face program to a remote format keeping the objectives and structure. The sessions of the face-to-face program were structured by: warm-up, balance, aerobic capacity, resistance training, transference, and cool down.
RESULTS: An asynchronous remote program was chosen to ensure that the participants would be able to perform the physical exercises with a caregiver or family member at home as safely as possible. The sessions were delivered by a single video with all 5 parts with prescriptions (time, sets, and repetitions), instructions about safety, and alternatives exercises. We create two questionnaires to investigate attendance, barriers, safety, and overall experience.
CONCLUSION: This paper purposed an asynchronous program with a single video per session to initiate the remote program for individuals with PD, who already carried out a face-to-face program of physical exercise.
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Copyright (c) 2022 Camila Torriani-Pasin, Tatiana B. Freitas, Beatriz Araujo, Beatriz Araujo, Gisele C. S. Palma, Marina P. Makhoul, Rosana A. Andreotti, Vitoria L. Domingues, Luis Mochizuki
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Authors retain the copyright of their paper and grant the Brazilian Journal of Motor Behavior (BJMB) the right to first publish the work under a Creative Commons Attribution-NonCommercial-NoDerivatives license (CC BY-NC-ND). This license allows users to share the paper given the appropriate credit to the author and source and does not allow commercial uses and derivative materials to be produced.