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. 2023:2:1156844.
doi: 10.3389/frsle.2023.1156844. Epub 2023 Jun 26.

App-Supported Sleep Coaching: Implications for Sleep Duration and Sleep Quality

Suzanne B Gorovoy  1 , Rebecca L Campbell  1 , Rina S Fox  2 , Michael A Grandner  1
Affiliations

App-Supported Sleep Coaching: Implications for Sleep Duration and Sleep Quality

Suzanne B Gorovoy et al. Front Sleep. 2023.

Abstract

Objectives: The present study evaluated whether completers of a 12-week app-based, personalized text supported sleep coaching program demonstrated improvements in sleep continuity, sleep duration, and reduced use of sleep aids.

Methods: Data were obtained from Sleep Reset, a 12-week consumer product that offers app-based sleep education and monitoring, along with personalized text-based sleep coaching provided by live coaches. 564 completers were included in the study. Pre-post changes for sleep latency (SL), wake after sleep onset (WASO), number of awakenings (NWAK), total sleep time (TST), sleep efficiency (SE%) and use of "sleep aids" were evaluated. To evaluate whether the program produced meaningful results, the proportion of participants who demonstrated reductions in SL, WASO, and NWAK, and increases in TST and SE% were examined.

Results: Mean SL was reduced by 11 minutes, mean WASO was reduced by 28 minutes, mean SE% increased by 6.6%, and mean TST increased by about 44 minutes. Of those who reported using "sleep aids" during Week 1, 41% no longer used them by week 12. Those with low SE% at baseline demonstrated greater improvements in SL (16.2 vs 5.7mins), WASO (47.3 vs 7.2mins), SE% (11.2% vs 1.6%), and TST (65.3 vs 31.2mins). Those with ≤6 hours of sleep at baseline demonstrated greater improvements in WASO (36.8 vs 22.3mins), SE% (10.1% vs 4.3%), and TST (85.1 vs 25.5mins).

Conclusions: Participants that completed the app-based, personalized text supported coaching intervention reported subjective improvements in sleep duration and quality that suggest more beneficial effects particularly in those with lower sleep efficiency or sleep duration at baseline. An effective sleep coaching program that utilizes trained sleep coaches with access to board-certified providers, may provide a valuable resource for subclinical populations.

Keywords: CBT-I; sleep apps; sleep coaching.

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Figures

Figure 1.
Figure 1.
Sleep Reset App
Figure 2.
Figure 2.
Mean and standard error of Sleep Latency (SL) at Week 1 and Week 12 for the complete sample, as well as study sub-groups
Figure 3.
Figure 3.
Mean and standard error of Wake After Sleep Onset (WASO) at Week 1 and Week 12 for the complete sample, as well as study sub-groups
Figure 4.
Figure 4.
Mean and standard error of Total Sleep Time at Week 1 and Week 12 for the complete sample, as well as study sub-groups
See this image and copyright information in PMC

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