At a glance
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The Effect of a Machine Learning-Based Mobile Application on Physical Activity in Overweight and Obese Women
In Brief
A clinical study evaluating Individualized physical activity management system for Physical Inactivity. Completed, enrolled 80 participants across 1 site.
Detailed Summary
The goal of this clinical trial is to evaluate the effect of an algorithm-driven mobile application that provides personalized recommendations for increasing physical activity, which is an important health behavior, in the prevention of obesity and many other related non-communicable diseases in overweight and obese women. Hypotheses of this study are: * The physical activity level of overweight and obese adult women in the intervention group increases. * Body Mass Index decreases in overweight and obese adult women in the intervention group. * The daily step count of overweight and obese adult women in the intervention group increases. Participants will be asked to use the mobile application they received daily and follow their personalized physical activity program. Researchers will compare the experimental and control groups to see if the mobile application affected the physical activity level.
Study Details
Timeline
Interventions
Participants will be provided with personalized exercise recommendations determined by a decision system by public health nursing and physiotherapy and rehabilitation experts via the mobile application. Targets will be determined for participants based on their completion of physical activity recommendations every day and every week in the mobile application. The initial program will be individually created based on the initial data collected and each participant's lifestyle, physical activity level and barriers to physical activity. Then, depending on the participants' ability to achieve their goals, the duration and intensity of the suggestions given will be individualized to a level that the person can complete.