Exploring the Effects of Sleep Patterns and Physical Activity on Asthma in Adolescents With Wrist-worn Smart Devices
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|ClinicalTrials.gov Identifier: NCT02556567|
Recruitment Status : Completed
First Posted : September 22, 2015
Last Update Posted : October 8, 2020
|Condition or disease||Intervention/treatment||Phase|
|Asthma||Other: Fitbit® Charge Heart Rate (HR) wristband||Not Applicable|
Investigators from the University of Arkansas for Medical Sciences (Pediatrics), the University of Arkansas at Little Rock and the University of Florida will work together to conduct a research study to find associations between asthma symptoms, sleep patterns, and physical activity over an 8-week period among adolescent patients with persistent asthma.
The goal of this research study is to find new ways for teenagers to manage their asthma. Full understanding of the connection and interference of sleep patterns and physical activity with asthma symptoms will be very helpful for teenagers with asthma to better manage their daily routine and asthma care. This research study will use wrist-worn devices (i.e. Fitbit® wristbands) to collect participants' sleep and physical activity data.
|Study Type :||Interventional (Clinical Trial)|
|Actual Enrollment :||23 participants|
|Intervention Model:||Single Group Assignment|
|Masking:||None (Open Label)|
|Official Title:||Exploring the Effects of Sleep Patterns and Physical Activity on Asthma in Adolescents With Wrist-worn Smart Devices|
|Actual Study Start Date :||August 2015|
|Actual Primary Completion Date :||June 2016|
|Actual Study Completion Date :||December 2016|
Participants will wear the Fitbit® Charge Heart Rate (HR) wristband for eight weeks.
Other: Fitbit® Charge Heart Rate (HR) wristband
The Investigators will conduct a proof of concept and feasibility study to explore associations between asthma symptoms and sleep patterns and physical activity over an 8-week intervention period among 20 adolescent patients with persistent asthma.
- Asthma Symptoms , Sleep Patterns and Physical Activity [ Time Frame: 8 weeks ]Fitbit built-in sensors (e.g., accelerometer, gyroscope, and heart rate sensors will measure disruptive sleep patterns, decreased levels of physical activity and asthma symptoms using response pattern scoring from baseline for 8 weeks.
- Risk of Increasing Asthma Symptoms [ Time Frame: 8 weeks ]Identify risks of increasing asthma symptoms based on daily Fitbit® data from baseline over an 8 week time period.
- Machine Learning Techniques [ Time Frame: 8 weeks ]Develop techniques to explore associations between Fitbit® data and patient reported outcome measures.
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02556567
|United States, Arkansas|
|Arkansas Children's Hospital Research Institute|
|Little Rock, Arkansas, United States, 72202|
|Principal Investigator:||Tamara T. Perry, MD||University of Arkansas|