Development of The Pediatric Physical Activity Tracking Platform (Pedi@Ctivity) and Smartwatch-based Big Data Analysis
NCT ID: NCT05509907
Last Updated: 2023-01-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
350 participants
INTERVENTIONAL
2022-08-30
2024-01-30
Brief Summary
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Guided by scientific and technological innovations, focusing on sustainable development goals, the vision of Society 5.0 is based on digital innovation with artificial intelligence, the internet of things, digital technologies and big data, and is to increase the awareness of individuals and encourage individuals to take a role in improving their health status with wearable technology and mobile health applications. In the literature, only one study has been found on the acquisition of big data with wearable technologies for the promotion of physical activity in adolescents.
The general aim of our project is to obtain smartwatch-based big data for adolescents, which will be done for the first time in the field of health and sports in our country, and to analyze the obtained data using both statistical methods and big data analytics and artificial learning methods, to develop Pediatric Physical Activity Tracking Platform (Pedi@ktivite) through physical activity algorithms and to reveal the effect of the developed system on the physical fitness of adolescents and the usability of the system with scientific evidence. Within the scope of the project, adolescents with chronic rheumatic disease will also be included in the sample group, and the effects of the system to be developed in adolescents with the chronic rheumatic disease will be demonstrated. Due to the results obtained, we believe that this technology-supported approach will be an example of good practice for other chronic diseases.
As the first technology-supported and big data-oriented project for health and sports in adolescents, our project will fill an important gap and provide pioneering results for future projects, paving the way for providing services in the fields of health and sports with big data analytics and addressing physical inactivity.
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Detailed Description
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Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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healthy adolescents within 12-18 years old
Adolescents aged 12-18 years who continue secondary education, do not have any chronic diseases or disabilities and volunteer to participate in the study will be included. Within the scope of the project, participants' demographic data, health parameters, physical fitness, functional capacity, fatigue level, exercise behavior, system availability and satisfaction will be evaluated. All evaluations, training on the use of smart watches and mobile and web-based physical activity tracking applications will be carried out at the school where the adolescents receive education.
Pedi@ctivity Analysis and Tracking Mobile Applications and Web Platform
"Pedi@ctivity Analysis Mobile Application" and than Pedi@ctivity Analysis and Tracking Web Platform synchronized with the Pedi@ctivity Tracking Mobile Application, will be developed. The collected data will be analyzed with statistical methods and models using artificial intelligence algorithms will be created. According to the evaluations, physical activity and exercise videos and programs will be prepared and uploaded to web platform. Programs will include stretching, strengthening, balance, aerobic, calisthenic exercises and aerobic dance. The exercise and physical activity program will also be synchronized with the Pedi@ctivity Tracking Mobile Application and the smart watch. Pedi@ctivity Mobile Applications will provide health parameters from the smart watch, suggestions suitable for the exercise and physical activity program, and motivational feedback. Each adolescent will be included in a 3-month program. After the 3-month all evaluations at the beginning will be repeated.
Adolescents aged 12-18 years with chronic rheumatic disease
Children with rheumatic disease who were diagnosed with chronic rheumatic disease, diagnosed at least 6 months ago, whose medical treatment was stable, and who volunteered to participate in the study will be included. Within the scope of the project, participants' demographic data, health parameters, physical fitness, functional capacity, fatigue level, exercise behavior, system availability and satisfaction will be evaluated. All assessments and training on smartwatches and mobile and web-based physical activity tracking applications will be held at Department of Pediatric Rheumatology, Istanbul Faculty of Medicine, Istanbul University.
Pedi@ctivity Analysis and Tracking Mobile Applications and Web Platform
"Pedi@ctivity Analysis Mobile Application" and than Pedi@ctivity Analysis and Tracking Web Platform synchronized with the Pedi@ctivity Tracking Mobile Application, will be developed. The collected data will be analyzed with statistical methods and models using artificial intelligence algorithms will be created. According to the evaluations, physical activity and exercise videos and programs will be prepared and uploaded to web platform. Programs will include stretching, strengthening, balance, aerobic, calisthenic exercises and aerobic dance. The exercise and physical activity program will also be synchronized with the Pedi@ctivity Tracking Mobile Application and the smart watch. Pedi@ctivity Mobile Applications will provide health parameters from the smart watch, suggestions suitable for the exercise and physical activity program, and motivational feedback. Each adolescent will be included in a 3-month program. After the 3-month all evaluations at the beginning will be repeated.
Interventions
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Pedi@ctivity Analysis and Tracking Mobile Applications and Web Platform
"Pedi@ctivity Analysis Mobile Application" and than Pedi@ctivity Analysis and Tracking Web Platform synchronized with the Pedi@ctivity Tracking Mobile Application, will be developed. The collected data will be analyzed with statistical methods and models using artificial intelligence algorithms will be created. According to the evaluations, physical activity and exercise videos and programs will be prepared and uploaded to web platform. Programs will include stretching, strengthening, balance, aerobic, calisthenic exercises and aerobic dance. The exercise and physical activity program will also be synchronized with the Pedi@ctivity Tracking Mobile Application and the smart watch. Pedi@ctivity Mobile Applications will provide health parameters from the smart watch, suggestions suitable for the exercise and physical activity program, and motivational feedback. Each adolescent will be included in a 3-month program. After the 3-month all evaluations at the beginning will be repeated.
Eligibility Criteria
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Inclusion Criteria
Adolescents aged 12-18 years who continue secondary education, Adolescents do not have any chronic diseases or disabilities Adolescents who volunteer to participate in the study
* Adolescents with chronic rheumatic disease:
Adolescents with rheumatism aged between 12-18 Adolescents with chronic rheumatic disease who volunteer to participate in the study
Exclusion Criteria
Adolescents who are older than 18 years of age, Adolescents who have had any discomfort or surgery that may affect their walking in the last 6 months, Adolescents and whose families are not asked to participate in the study
* Adolescents with chronic rheumatic disease:
Adolescents who are older than 18 years of age, Adolescents who have poor mental status, accompanying rheumatism and have additional neurological diagnosis that may affect the intervention results, Adolescents whose family does not want to participate in the study
12 Years
18 Years
ALL
Yes
Sponsors
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The Scientific and Technological Research Council of Turkey
OTHER
Istanbul University - Cerrahpasa
OTHER
Responsible Party
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Nilay Arman
Assoc. Prof.
Principal Investigators
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Nilay Arman, Assoc.Prof.
Role: PRINCIPAL_INVESTIGATOR
Istanbul University-Cerrahpaşa, Faculty of Health Science, Department of Physiotherapy and Rehabilitation
Asya Albayrak, Pt., MSc.
Role: STUDY_CHAIR
Istanbul University-Cerrahpasa, Institute of Postgraduate Education
Asena Yekdaneh, Pt., MSc.
Role: STUDY_CHAIR
Istanbul University-Cerrahpasa, Institute of Postgraduate Education
Tuna Cakar, Assist. Prof.
Role: STUDY_CHAIR
MEF University, Department of Computer Engineering
Nuray Aktay Ayaz, Prof. Dr.
Role: STUDY_CHAIR
Istanbul Faculty of Medicine, Department of Internal Medicine, Department of Pediatric Rheumatology
Sevim Gullu, Assoc. Prof.
Role: STUDY_CHAIR
Istanbul University-Cerrahpasa, Faculty of Sports Sciences, Department of Recreation
Alperen Sayar
Role: STUDY_CHAIR
MEF University, Graduate School of Science and Engineering,Department of Information Technologies
Tunahan Bozkan
Role: STUDY_CHAIR
MEF University, Graduate School of Science and Engineering,Department of Information Technologies
Locations
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İstanbul Tıp Fakültesi
Istanbul, , Turkey (Türkiye)
Countries
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Central Contacts
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Facility Contacts
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Nuray AKTAY AYAZ, Prof.
Role: primary
Other Identifiers
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380972
Identifier Type: -
Identifier Source: org_study_id
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