LitCovid-sentences  

PMC:7275133 / 16422-19885 JSONTXT 10 Projects

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Id Subject Object Predicate Lexical cue
T112 0-26 Sentence denotes Wearable Devices in Asthma
T113 27-205 Sentence denotes Most of the wearable fitness device research to date has focused in diseases associated with low levels of physical activity, namely cardiovascular disease, diabetes, and cancer.
T114 206-369 Sentence denotes Few have focused on asthma and of the studies conducted in asthma populations, all have honed in on the use of Fitbit-derived sleep measures (i.e., sleep quality).
T115 370-464 Sentence denotes Castner et al. used the Fitbit Charge™ to validate sleep measures in women with asthma [18••].
T116 465-614 Sentence denotes The sleep measures collected by the Fitbit were compared with Actigraph GT3X +, a well-known and validated device to collect sleep measures [19, 20].
T117 615-728 Sentence denotes The Fitbit device tended to overestimate sleep efficiency and underestimate wake counts compared with actigraphy.
T118 729-928 Sentence denotes Two additional studies were conducted in pediatric populations and focused on correlating Fitbit-derived sleep measures to patient-reported outcomes such as asthma control and asthma impact [21, 22].
T119 929-1204 Sentence denotes Bian and colleagues assessed the association between self-reported asthma impact and Fitbit-derived sleep quality (the ratio of minutes asleep to minutes in bed) and physical activity measures (daily minutes of moderate and vigorous activity) in adolescents with asthma [21].
T120 1205-1498 Sentence denotes Fitbit-derived sleep quality was moderately correlated with Patient-Reported Outcomes Measurement Information System (PROMIS) sleep disturbance score (r = − 0.31, P = 0.01) and had a weak but significant correlation with the PROMIS pediatric asthma impact score (average r = − 0.18, P = 0.02).
T121 1499-1616 Sentence denotes Fitbit-derived physical activity levels were not associated with PROMIS pediatric asthma impact (r = 0.04, P = 0.62).
T122 1617-1806 Sentence denotes These findings suggest that measurement of sleep quality, using the Fitbit device, may help develop personalized asthma management strategies for children and their caregivers in real time.
T123 1807-2189 Sentence denotes The final study measured several mobile metrics of asthma including physical activity and sleep using Fitbits, forced expiratory volume in 1 s and peak expiratory flow, indoor air quality using Foobot (https://foobot.io/), and a mobile app that collected information on asthma control (symptoms, physical limitations due to asthma, nighttime awakenings, and medication intake) [22].
T124 2190-2437 Sentence denotes These metrics were used together to digitally phenotype children with asthma and provide a better measure of the patient’s asthma control to their clinician when compared with the Asthma Control Test scores taken infrequently during clinic visits.
T125 2438-2661 Sentence denotes Additional work using this ecological metric of asthma control is needed and may be used in the future to generate insights on the relationship between a patient’s asthma symptoms and triggers across different seasons [23].
T126 2662-2750 Sentence denotes Acoustic monitoring is another type of wearable devices that has been studied in asthma.
T127 2751-2936 Sentence denotes Breathing sound measured by microphones over human skin can detect breathing patterns (respiratory rate, flow rate, tidal volume) and symptoms that may be due to asthma (wheeze, cough).
T128 2937-3040 Sentence denotes Moreover, chest movement signals can be acquired using an accelerometer or belt-shaped device [24, 25].
T129 3041-3146 Sentence denotes Boner et al. measured the nocturnal wheeze in children with asthma using an acoustic respiratory monitor.
T130 3147-3331 Sentence denotes They found that among children with apparently well-controlled asthma, 57% had considerable amounts of night wheezing that was unrelated to conventional measures of lung function [26].
T131 3332-3463 Sentence denotes The use of these continual wearable monitoring systems is still a developing field that needs further study on its clinical impact.