Asthma
Conditions
Keywords
Sleep patterns, Physical activity, Fitbit
Brief summary
This is a research study to find associations between asthma symptoms and sleep patterns and physical activity among adolescent patients with persistent asthma. The Investigators will collect Fitbit® sensor data and survey data from each adolescent enrolled in the study.
Detailed description
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.
Interventions
OTHERFitbit® 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.
Sponsors
University of Arkansas
University of Florida
Arkansas Children's Hospital Research Institute
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
14 Years to 17 Years
Healthy volunteers
Yes
Inclusion criteria
1. Age ≥ 14 and ≤ 17 years; 2. Teen access to a mobile smartphone device with a data plan or a computer with reliable internet connection, compatible with the Fitbit® application during the study period; 3. Diagnosis of mild, moderate or severe persistent asthma per National Heart Lung Blood Institute (NHLBI).
Exclusion criteria
1. Current smokers and adolescents with significant underlying respiratory disease other than asthma (such as cystic fibrosis) that could potentially interfere with asthma-related outcome measures; 2. Prior diagnosis of sleep disorder; 3. Patients with significant co-morbid conditions (such as moderate to severe developmental delay) that could interfere with the adolescent's ability to self-monitor asthma; 4. Inability to speak or understand English (child or parent).
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Asthma Symptoms , Sleep Patterns and Physical Activity | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Risk of Increasing Asthma Symptoms | 8 weeks | Identify risks of increasing asthma symptoms based on daily Fitbit® data from baseline over an 8 week time period. |
Other
| Measure | Time frame | Description |
|---|---|---|
| Machine Learning Techniques | 8 weeks | Develop techniques to explore associations between Fitbit® data and patient reported outcome measures. |
Countries
United States
Outcome results
None listed