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. 2017 Jul 25;5(7):e105.
doi: 10.2196/mhealth.7346.

Exploring the Association Between Self-Reported Asthma Impact and Fitbit-Derived Sleep Quality and Physical Activity Measures in Adolescents

Jiang Bian  1 , Yi Guo  1 , Mengjun Xie  2 , Alice E Parish  1 , Isaac Wardlaw  2 , Rita Brown  3 , François Modave  1 , Dong Zheng  4 , Tamara T Perry  5   6
Affiliations

Exploring the Association Between Self-Reported Asthma Impact and Fitbit-Derived Sleep Quality and Physical Activity Measures in Adolescents

Jiang Bian et al. JMIR Mhealth Uhealth. .

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.

Keywords: Fitbit; asthma; mHealth; mobile health; physical activity; sleep; sleep quality.

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Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Cumulative screening and enrollment summary.
Figure 2
Figure 2
Fitbit Charge HR wristband.
Figure 3
Figure 3
Fitbit sleep quality and pediatric asthma impact.
Figure 4
Figure 4
Fitbit sleep quality and self-reported sleep measures.
See this image and copyright information in PMC

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