Dataset Information

PROMIS Sleep Disturbance and Sleep-Related Impairment in Adolescents: Examining Psychometrics Using Self-Report and Actigraphy.

ABSTRACT: BACKGROUND:The National Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS) has self-reported health measures available for both pediatric and adult populations, but no pediatric measures are available currently in the sleep domains. OBJECTIVE:The purpose of this observational study was to perform preliminary validation studies on age-appropriate, self-reported sleep measures in healthy adolescents. METHODS:This study examined 25 healthy adolescents' self-reported daytime sleepiness, sleep disturbance, sleep-related impairment, and sleep patterns. Healthy adolescents completed a physical exam at the National Institutes of Health Clinical Center (Bethesda, MD), had no chronic medical conditions, and were not taking any chronic medications. The Cleveland Adolescent Sleepiness Questionnaire (CASQ), PROMIS Sleep Disturbance (v. 1.0; 8a), and PROMIS Sleep-Related Impairment (v. 1.0; 8b) questionnaires were completed, and sleep patterns were assessed using actigraphy. RESULTS:Total scores on the three sleep questionnaires were correlated (all Spearman's r > .70, p < .001). Total sleep time determined by actigraphy was negatively correlated with the CASQ (p = .01), PROMIS Sleep Disturbance (p = .02), and PROMIS Sleep-Related Impairment (p = .02). DISCUSSION:The field of pediatric sleep is rapidly expanding, and researchers and clinicians will benefit from well-designed, psychometrically sound sleep questionnaires. Findings suggest the potential research and clinical utility of adult versions of PROMIS sleep measures in adolescents. Future studies should include larger, more diverse samples and explore additional psychometric properties of PROMIS sleep measures to provide age-appropriate, validated, and reliable measures of sleep in adolescents.

SUBMITTER: Hanish AE

PROVIDER: S-EPMC5426113 | biostudies-literature | 2017 May/Jun

REPOSITORIES: biostudies-literature

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PROMIS Sleep Disturbance and Sleep-Related Impairment in Adolescents: Examining Psychometrics Using Self-Report and Actigraphy.

Hanish Alyson E AE Lin-Dyken Deborah C DC Han Joan C JC

Nursing research 20170501 3

<h4>Background</h4>The National Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS) has self-reported health measures available for both pediatric and adult populations, but no pediatric measures are available currently in the sleep domains.<h4>Objective</h4>The purpose of this observational study was to perform preliminary validation studies on age-appropriate, self-reported sleep measures in healthy adolescents.<h4>Methods</h4>This study examined 25 healthy a ...[more]

PMID: 28448375

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Project description:Study objectivesTo compare the quality and consistency in sleep measurement of a consumer wearable device and a research-grade actigraph with polysomnography (PSG) in adolescents.MethodsFifty-eight healthy adolescents (aged 15-19 years; 30 males) underwent overnight PSG while wearing both a Fitbit Alta HR and a Philips Respironics Actiwatch 2 (AW2) for 5 nights, with either 5 hours or 6.5 hours time in bed (TIB) and for 4 nights with 9 hours TIB. AW2 data were evaluated using two different wake and immobility thresholds. Discrepancies in estimated total sleep time (TST) and wake after sleep onset (WASO) between devices and PSG, as well as epoch-by-epoch agreements in sleep/wake classification, were assessed. Fitbit-generated sleep staging was compared to PSG.ResultsFitbit and AW2 under default settings similarly underestimated TST and overestimated WASO (TST: medium setting (M10) ≤ 38 minutes, Fitbit ≤ 47 minutes; WASO: M10 ≤ 38 minutes; Fitbit ≤ 42 minutes). AW2 at the high motion threshold setting provided readings closest to PSG (TST: ≤ 12 minutes; WASO: ≤ 18 minutes). Sensitivity for detecting sleep was ≥ 90% for both wearable devices and further improved to 95% by using the high threshold (H5) setting for the AW2 (0.95). Wake detection specificity was highest in Fitbit (≥ 0.88), followed by the AW2 at M10 (≥ 0.80) and H5 thresholds (≤ 0.73). In addition, Fitbit inconsistently estimated stage N1 + N2 sleep depending on TIB, underestimated stage N3 sleep (21-46 min), but was comparable to PSG for rapid eye movement sleep. Fitbit sensitivity values for the detection of N1 + N2, N3 and rapid eye movement sleep were ≥ 0.68, ≥ 0.50, and ≥ 0.72, respectively.ConclusionsA consumer-grade wearable device can measure sleep duration as well as a research actigraph. However, sleep staging would benefit from further refinement before these methods can be reliably used for adolescents.Clinical trial registrationRegistry: ClinicalTrials.gov; Title: The Cognitive and Metabolic Effects of Sleep Restriction in Adolescents; Identifier: NCT03333512; URL: https://clinicaltrials.gov/ct2/show/NCT03333512.CitationLee XK, Chee NIYN, Ong JL, Teo TB, van Rijn E, Lo JC, Chee MWL. Validation of a consumer sleep wearable device with actigraphy and polysomnography in adolescents across sleep opportunity manipulations. J Clin Sleep Med. 2019;15(9):1337-1346.

Project description:BackgroundSleep disturbances are common in young people and have consequences for academic, social, emotional, and behavioral development. The most effective treatment is cognitive behavioral therapy for insomnia (CBT-I), with evidence suggesting that it is efficacious even when delivered digitally.ObjectiveThere are no commercially available digitally delivered CBT-I programs for use by young people. The aim of this project was to develop a smartphone app that delivers CBT-I to young people to improve sleep.MethodsTo inform the development of the app, young people (N=21) aged between 12 and 16 years attended one of the 3 focus groups (each with 4-10 participants). These focus groups were conducted at different stages of the development process such that the process could be iterative. Participants were asked the reasons why they might use an app to help them sleep, the kinds of features or functions that they would like to see in such an app, and any concerns they may have in using the app. Data were analyzed using a thematic analysis approach. Of the issues discussed by the participants, the researchers selected themes associated with content, functionality, and accessibility and user experience to examine, as these were most informative for the app design process.ResultsIn terms of content, young people were interested in receiving information about recommended sleep guidelines and personalized information for their age group. They reported that keeping a sleep diary was acceptable, but they should be able to complete it flexibly, in their own time. They reported mixed views about the use of the phone's accelerometer. Young people felt that the functionality of the app should include elements of game playing if they were to remain engaged with the app. Flexibility of use and personalized features were also desirable, and there were mixed views about the schedule of notifications and reminders. Participants reported that for the app to be accessible and usable, it should be from a trusted developer, have engaging aesthetics, have a layout that is easy to navigate, not rely on Internet coverage, and preferably be free. Participants felt that being able to conceal the purpose of the app from peers was an advantage and were willing to provide personal information to use the app if the purpose and use of that information was made clear. Overall, participants endorsed the use of the app for sleep problems among their age group and reported motivation to use it.ConclusionsThe Sleep Ninja is a fully-automated app that delivers CBT-I to young people, incorporating the features and information that young people reported they would expect from this app. A pilot study testing the feasibility, acceptability, and efficacy of the Sleep Ninja is now underway.

Dataset Information

PROMIS Sleep Disturbance and Sleep-Related Impairment in Adolescents: Examining Psychometrics Using Self-Report and Actigraphy.

Publications

PROMIS Sleep Disturbance and Sleep-Related Impairment in Adolescents: Examining Psychometrics Using Self-Report and Actigraphy.

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