Dataset Information

Validation of fitness tracker for sleep measures in women with asthma.

ABSTRACT: OBJECTIVE:Nighttime wakening with asthma symptoms is a key to assessment and therapy decisions, with no gold standard objective measure. The study aims were to (1) determine the feasibility, (2) explore equivalence, and (3) test concordance of a consumer-based accelerometer with standard actigraphy for measurement of sleep patterns in women with asthma as an adjunct to self-report. METHODS:Panel study design of women with poorly controlled asthma from a university-affiliated primary care clinic system was used. We assessed sensitivity and specificity, equivalence and concordance of sleep time, sleep efficiency, and wake counts between the consumer-based accelerometer Fitbit Charge™ and Actigraph wGT3X+. We linked data between devices for comparison both automatically by 24-hour period and manually by sleep segment. RESULTS:Analysis included 424 938?minutes, 738 nights, and 833 unique sleep segments from 47 women. The fitness tracker demonstrated 97% sensitivity and 40% specificity to identify sleep. Between device equivalence for total sleep time (15 and 42-minute threshold) was demonstrated by sleep segment. Concordance improved for wake counts and sleep efficiency when adjusting for a linear trend. CONCLUSIONS:There were important differences in total sleep time, efficiency, and wake count measures when comparing individual sleep segments versus 24-hour measures of sleep. Fitbit overestimates sleep efficiency and underestimates wake counts in this population compared to actigraphy. Low levels of systematic bias indicate the potential for raw measurements from the devices to achieve equivalence and concordance with additional processing, algorithm modification, and modeling. Fitness trackers offer an accessible and inexpensive method to quantify sleep patterns in the home environment as an adjunct to subjective reports, and require further informatics development.

SUBMITTER: Castner J

PROVIDER: S-EPMC6522318 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Validation of fitness tracker for sleep measures in women with asthma.

Castner Jessica J Mammen Manoj J MJ Jungquist Carla R CR Licata Olivia O Pender John J JJ Wilding Gregory E GE Sethi Sanjay S

The Journal of asthma : official journal of the Association for the Care of Asthma 20180824 7

<h4>Objective</h4>Nighttime wakening with asthma symptoms is a key to assessment and therapy decisions, with no gold standard objective measure. The study aims were to (1) determine the feasibility, (2) explore equivalence, and (3) test concordance of a consumer-based accelerometer with standard actigraphy for measurement of sleep patterns in women with asthma as an adjunct to self-report.<h4>Methods</h4>Panel study design of women with poorly controlled asthma from a university-affiliated prima ...[more]

PMID: 29972657

Similar Datasets

Project description:BackgroundCardiac arrhythmias in exercising horses are the focus of much interest, both in terms of what is considered normal and potential associations with poor performance and sudden cardiac death. One barrier to performing large-scale studies is the lack of an easily applicable device, to allow recording of large numbers of high-quality exercising electrocardiograms (ECGs). The EquimetreTM is a new wearable device which records a single lead ECG, amongst other parameters. Validation of such wearable devices is essential before further studies are undertaken.ObjectivesTo evaluate the quality of ECG using the EquimetreTM and compare arrhythmia detection during exercise with the reference TelevetTM system.Study designProspective blinded clinical study.MethodsSimultaneous ECGs were recorded with both systems in 49 healthy horses during exercise. High intensity exercise (>40km/h) was performed by 29 racehorses, and lower intensity exercise for the remainder of the racehorses and show jumpers. Tracings were excluded if >10% artefact was present (duration of artefact relative to duration of exercise). For included ECGs, the duration of artefact was recorded and compared. ECGs were evaluated using Kubios premium software. Arrhythmia detection (yes/no) and arrhythmia classification (sinus arrhythmia, narrow complex of similar morphology to the sinus complexes or wide complex with a different morphology) were compared using Cohen's Kappa coefficient.ResultsNine TelevetTM ECGs and 3 EquimetreTM ECGs were excluded due to artefact >10%. TelevetTM ECGs included significantly more artefact during exercise than EquimetreTM ECGs (5% vs. 0.25% p<0.001). Arrhythmia analysis was performed on 38 horses' paired ECGs. The Kappa coefficient was excellent for arrhythmia detection (K=0.97) and arrhythmia classification (K=0.93).Main limitationsRelatively low numbers of horses with arrhythmias (n=21) were included. The ECG recordings only provided one lead, making arrhythmia classification challenging in some cases.ConclusionsThe Equimetre device provides a reliable ECG for arrhythmia detection during exercise. This system may be useful clinically and for future large-scale investigations into the occurrence and significance of exercising arrhythmias.

Project description:PurposeSleep disturbance is common in patients with asthma and can lead to subsequent impacts on health-related quality of life (HRQOL). Fit-for-purpose patient-reported outcome measures (PROMs) assessing asthma-related sleep disturbance and next-day HRQOL impact (next-day impact) are needed to evaluate disease burden and treatment effects.Patients and methodsAdults (18-65 years) from three US clinics were recruited for semistructured interviews. Concept elicitation (CE) identified how asthma affects participants' sleep and how asthma-related sleep disturbances impact their daily lives, which informed conceptual model development. Cognitive debriefing (CD) of the Asthma Sleep Disturbance Questionnaire (ASDQ), Sleep Diary, and Patient-Reported Outcomes Measurement Information System Sleep-Related Impairment Short Form 8a (PROMIS SRI SF8a) was completed to assess each measure's content validity.ResultsTwelve individuals participated in two interview rounds (6 individuals per round). Participants most frequently reported asthma-related nighttime awakening and decreased sleep quality and duration. Negative impacts of a poor night's sleep due to asthma symptoms included feeling tired/fatigue/lack of energy and subsequent negative impacts on physical functioning, emotions and mood, mental functioning, work or volunteerism, and social functioning. Across both rounds of CD interviews, participants generally found the Sleep Diary and PROMIS SRI SF8a items relevant and easy to complete with no modifications. The ASDQ was modified for clarity and consistency.ConclusionAs described in the conceptual model, asthma affects multiple aspects of sleep that can cause next-day fatigue and other subsequent negative HRQOL impacts. This study demonstrates that the ASDQ, Sleep Diary, and PROMIS SRI SF8a items are comprehensive, relevant, and appropriate for patients with moderate-to-severe, uncontrolled asthma. Evaluation of psychometric properties for the ASDQ, Sleep Diary, and PROMIS SRI SF8a based on clinical trial data in patients with moderate-to-severe, uncontrolled asthma will further support their use.

Dataset Information

Validation of fitness tracker for sleep measures in women with asthma.

Publications

Validation of fitness tracker for sleep measures in women with asthma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets