@Article{info:doi/10.2196/mhealth.7346,
author="Bian, Jiang
and Guo, Yi
and Xie, Mengjun
and Parish, Alice E
and Wardlaw, Isaac
and Brown, Rita
and Modave, Fran{\c{c}}ois
and Zheng, Dong
and Perry, Tamara T",
title="Exploring the Association Between Self-Reported Asthma Impact and Fitbit-Derived Sleep Quality and Physical Activity Measures in Adolescents",
journal="JMIR Mhealth Uhealth",
year="2017",
month="Jul",
day="25",
volume="5",
number="7",
pages="e105",
keywords="mobile health; mHealth; asthma; Fitbit; physical activity; sleep; sleep quality",
abstract="Background: Smart wearables such as the Fitbit wristband provide the opportunity to monitor patients more comprehensively, to track patients in a fashion that more closely follows the contours of their lives, and to derive a more complete dataset that enables precision medicine. However, the utility and efficacy of using wearable devices to monitor adolescent patients' asthma outcomes have not been established. Objective: The objective of this study was to explore the association between self‑reported sleep data, Fitbit sleep and physical activity data, and pediatric asthma impact (PAI). Methods: We conducted an 8‑week pilot study with 22 adolescent asthma patients to collect: (1) weekly or biweekly patient‑reported data using the Patient-Reported Outcomes Measurement Information System (PROMIS) measures of PAI, sleep disturbance (SD), and sleep‑related impairment (SRI) and (2) real-time Fitbit (ie, Fitbit Charge HR) data on physical activity (F-AM) and sleep quality (F‑SQ). To explore the relationship among the self-reported and Fitbit measures, we computed weekly Pearson correlations among these variables of interest. Results: We have shown that the Fitbit-derived sleep quality F-SQ measure has a moderate correlation with the PROMIS SD score (average r=−.31, P=.01) and a weak but significant correlation with the PROMIS PAI score (average r=−.18, P=.02). The Fitbit physical activity measure has a negligible correlation with PAI (average r=.04, P=.62). Conclusions: Our findings support the potential of using wrist-worn devices to continuously monitor two important factors---physical activity and sleep---associated with patients' asthma outcomes and to develop a personalized asthma management platform. ",
issn="2291-5222",
doi="10.2196/mhealth.7346",
url="http://mhealth.jmir.org/2017/7/e105/",
url="https://doi.org/10.2196/mhealth.7346",
url="http://www.ncbi.nlm.nih.gov/pubmed/28743679"
}