Abstract
Abstract Introduction Precision measurement of sleep metrics like sleep onset latency (SOL) and total sleep time (TST) has long been a challenge. Multiple studies have demonstrated significant discrepancies between sleep diaries and wearable device derived sleep metrics especially in patients with subjective-objective sleep discrepancy (SOSD; e.g., some patients with insomnia). Typically SOSD manifests as longer than expected self-reported SOL and shorter than expected TST. Without a method of reconciliation between sleep diaries and wearable devices, the current practice is to rely on sleep diary data which is suboptimal in the context of SOSD, and could contribute to blunted or nonsignificant effects in clinical trials. The current study investigated the effects of providing wearable device data feedback contemporaneously with the completion of the sleep diary, on a daily basis across 288 nights. We expected that by providing wearable device data feedback, participants with SOSD could be identified and potentially self-correct their SOSD. Methods A 3 phase, randomized, crossover design study was used in which 24 undergraduate college students without a diagnosed sleep disorder completed week-long periods of control condition (digital sleep diary without wearable device data feedback), washout, and then test phase (diary with device feedback). Participants were randomized to start with control or test conditions. Results Within and between subjects analyses were performed to understand the effect of the wearable device data feedback on sleep diary responses. Two participants (8.3%) with SOSD were identified and had marked differences in their estimated SOL (~47 min) that were corrected when provided with their wearable device data. Importantly no subjects copied their wearable device data into their sleep diary. Between subjects analyses revealed no differences in the average or variability of sleep metrics. Conclusion These preliminary results suggest that presenting wearable device data during sleep diary completion may impact self-reporting by individuals with SOSD but not by those without SOSD. In the setting of a clinical trial, participants who have significant SOSD may be contributing to non-disease/non-treatment related variability that may be ameliorated by providing wearable device data during sleep diary completion. Support (if any)
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