VALIDATION AND RELIABILITY OF MEASURES FROM A DIGITAL PLATFORM FOR MONITORING SEDENTARY BEHAVIORS AND PHYSICAL ACTIVITY LEVELS IN THE HOME ENVIRONMENT IN PEOPLE WHO HAVE SUFFERED A STROKE

• Grant number: 25/00987-7
• Support Opportunities: Scholarships in Brazil - Master
• Start date: June 01, 2025
• End date: June 30, 2026
• Field of knowledge: Health Sciences - Physiotherapy and Occupational Therapy
• Principal Investigator: Thiago Luiz de Russo
• Grantee: Joselisa Grace Miranda Shinoda
• Host Institution: Centro de Ciências Biológicas e da Saúde (CCBS). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil
• Associated research grant: 23/04712-7 - EFFICACY OF MULTIMODAL CIRCUIT TRAINING WITH MODERATE TO HIGH INTENSITY TO INCREASE THE NUMBER OF STEPS AND TO REDUCE SEDENTARY TIME IN PEOPLE WHO HAD STROKE: A RANDOMIZED CLINICAL TRIAL, AP.R

Abstract

Stroke has a major economic impact on the Brazilian Unified Health System due to disabilities, limitations, and social restrictions that increase the likelihood of these individuals being readmitted and impact their quality of life. The field of rehabilitation is essential to assist these individuals in their functionality and reintegration into society. The literature shows that low levels of physical activity and increased sedentary behaviors in this population are detrimental to rehabilitation and increase the risk of comorbidities. For this reason, different self-monitoring strategies through digital health are being studied to minimize sedentary behavior and encourage increased physical activity, in addition to providing feedback to break unwanted habits. Part of the success of digital health comes from the interaction with wearable technologies; however, there are still numerous technical aspects linked to the interpretation of the data generated and the validity and reliability of the measurements, especially in populations with stroke. Recently, our group produced studies to validate a physical activity monitoring platform in laboratory conditions and in a simulated home environment. However, it is still necessary to validate it in a home environment, which considers movements in the face of real physical barriers and personal factors. Objective: To validate and establish the reliability of measurements from a digital platform integrated with inertial sensors within the home environment to detect activities in people with stroke. Methodology: This is a cross-sectional study that will follow COSMIN recommendations. Fifty participants of both sexes will be included, all diagnosed with stroke of any nature, who can perform independent walking with or without assistive devices. Data collection will take place in the participants' homes. A clinical assessment will be conducted to characterize the sample, which will include the sit-to-stand test (5 times), the Timed Up and Go test, and the following scales: Short Form Health Survey 36, Human Activity Profile, WHODAS 2.0, Life Space Assessment, and the General Self-Efficacy Scale. Inertia sensors will be positioned on the volunteers' bodies, and simultaneously, the activities performed by the participants will be filmed for 10 hours to validate the information collected by the devices. The concurrent validity of step counting, posture identification (sitting, lying down, and standing), and postural transitions will be analyzed using Spearman's correlation coefficient, considering the reference values from Munro, which indicate that values above 0.5 represent moderate to high correlation; the mean absolute error and Bland-Altman graphs will also be considered. The reliability of the measurements will be analyzed using the intraclass correlation coefficient (ICC).