Objectives : The use of commercial sleep tracking devices is increasing very significantly as the awareness of the importance of sleep increases. However, there is controversy because the results of studies investigating the validation of commercial w...
Objectives : The use of commercial sleep tracking devices is increasing very significantly as the awareness of the importance of sleep increases. However, there is controversy because the results of studies investigating the validation of commercial wrist-worn sleep tracking devices are not consistently reported. Therefore, the purpose of this study is to conduct a meta-analysis of studies comparing sleep scoring data measured by devices with polysomnography results in order to evaluate the validation of various commercial wrist-worn sleep tracking devices that are widely used.
Methods : We searched SCOPUS, EMBASE, Cochrane Library, PubMed(Medline), and OVID Medline using the key words “polysomnography(PSG)”, “commercial sleep tracking device”, “sleep scoring data”, “validation study”. Data were extracted from the finally selected studies, the extracted data included models of sleep tracking devices, subject characteristics, number of subjects, age, sex, study design, and the level of evidence. In addition, total sleep time, sleep efficiency, sleep latency, and wake after sleep onset were included for the meta-analysis.
Results : Finally, twenty studies were included in the meta-analysis. There were significant differences in total sleep time (standardized mean difference [SMD], -0.293; 95% CI, -0.483 to -0.103), sleep efficiency (SMD, -0.581; 95% CI, -0.103), sleep latency (SMD, 0.226; 95% CI, 0.024 to 0.429), and wake after sleep onset (SMD, 0.459; 95% CI, 0.191 to 0.727) between commercial wrist-worn type sleep tracking devices and polysomnography. There was no publication bias in four sleep scoring data based on the funnel plot, Begg's test, and Egger's test.
Conclusion : As a result of this meta-analysis, the performance of various commercial wrist-worn type sleep tracking devices that are currently widely used was not yet reliable when compared to the results of polysomnography. Efforts to improve the algorithm and many clinical studies will be needed in order for commercial wrist-worn type sleep tracking devices to show performance at the level of polysomnography.