This study is being done to evaluate heart rate activity and sleep patterns, among participants in the Long-Term Follow-Up (LTFU) study. Primary Objective Using mobile health (mHealth) technologies in a large and well-characterized cohort of childhood cancer survivors, our primary objective is to understand the magnitude of increased risk of cardiac autonomic dysfunction by (a) comparing prevalence rates among survivors and siblings, and (b) determining the prevalence within specific subgroups of childhood cancer survivors defined by race, sex, cancer type and treatment exposures, and type and severity of chronic health conditions. Secondary Objectives Among long-term (≥5 years) survivors of childhood cancer (a) identify demographic, disease, treatment and cognitive-behavioral factors associated with an increased risk of cardiac autonomic dysfunction, (b) develop and validate risk prediction models for future clinical use in identifying individuals who may benefit from targeted interventions, and (c) investigate associations between dysfunction and perceived well-being.
Potential participants will be recruited by email and phone. Survivors who wish to participate will complete an online consent form and then a series of short questionnaires to determine study eligibility. This data collection will take place in DatStat Connect, which is the online consenting and data collection tool utilized for the CCSS. Consented/enrolled SJLIFE participants will receive a link via email to complete surveys related to autonomic functioning and current medical concerns and asked to schedule delivery of a WHOOP® strap prior kit prior to scheduling a device setup session with a team member. The kit will include the WHOOP® strap, brief instructions for setup, and prepaid return mailing materials. The WHOOP® strap will be shipped to the participant and each participant will complete a training session and app installation, if needed, and instructions regarding during of wear (two weeks)
Study Type
OBSERVATIONAL
Heart rate variability
Standard deviation of NN (normal to normal RR) intervals (SDNN)
Time frame: Measured over a 24 hour period
Autonomic Symptoms
Self-reported autonomic symptoms via the COMPASS31
Time frame: Assessed at baseline
Perceived health
Self-reported perceived health via Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36)
Time frame: Assessed at baseline
Perceived stress
Cohen's Perceived Stress Scale, Minimum value = 0, Maximum value = 40, Higher scores mean a worse outcome
Time frame: Assessed at baseline
Cognitive status
Childhood Cancer Survivor Study Neurocognitive Questionnaire, Minimum Value = 33, Maximum value = 99, Higher scores mean a worse outcome
Time frame: Assessed at baseline
Sleep Onset
Sleep hygiene will be measured via wearable sleep tracker. Sleep onset will be measured in minutes.
Time frame: Measured over 2 weeks
Wake Onset
Sleep hygiene will be measured via wearable sleep tracker. Wake onset will be measured in minutes.
Time frame: Measured daily over 2 weeks
Sleep efficiency
Sleep hygiene will be measured via wearable sleep tracker. Sleep efficient will be measured by dividing the minutes asleep by the total minutes in bed.
Time frame: Measured daily over 2 weeks
Physical activity duration
Intensity and duration of daily activity will be measured via wearable activity tracker. Activity duration will be measured in minutes.
Time frame: Measured daily over 2 weeks
Workout strain
Intensity and duration of daily activity will be measured via wearable activity tracker. Workout strain will be calculated by the duration of time in personal heart rate zones, established from maximum heart rate.
Time frame: Measured daily over 2 weeks
Maximum heart rate
Intensity and duration of daily activity will be measured via wearable activity tracker. Maximum heart rate will be calculated by subtracting age from 220 and is measured in beats per minute.
Time frame: Measured daily over 2 weeks
Average heart rate
Intensity and duration of daily activity will be measured via wearable activity tracker. Average heart rate will be calculated as number of beats per minute.
Time frame: Measured daily over 2 weeks
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