Objectives: To evaluate the effectiveness of the sleep monitor device, feedback from sleep report, and regular advice for community-dwelling older people.

Methods: Randomized controlled trial and evaluator blinded. Subjects are over 65-year-old who live in the community or living alone or in older households or requiring support under long-term care insurance in Japan. They are divided into three groups: A) For 6 months, send monthly report and conduct telephone intervention; B) For the first 3 months is same intervention as A, then for the next 3 months. only send monthly report; C) For 6 months, send monthly report. A sleep monitoring device: Active Sleep Analyzer is a non-wearable actigraphy device and was used to evaluate Objectives sleep, such as total sleep time, sleep latency, sleep efficiency, wake after sleep onset, number of awakenings. The primary outcome was the subjective sleep quality from Athens Insomnia Scale (AIS). We mainly conducted three analyses. 1) Basic characteristics at baseline 2) Paired t-tests within groups to examine differences in AIS after the intervention from baseline. 3) Repeated measurements to examine differences in AIS between the three groups depending on time. All significance levels were set at p < 0.05. The study was conducted with the approval of the Osaka University Hospital Ethics ReviewCommittee.

Results: We contacted 349 people to participate and randomized 223 people who attended the first seminar and met the eligibility criteria. We analyzed 212 participants (A72, B70, C70), excluding those with dropouts or significant missing data, with the demographic profile of participants being 36% male, mean age 75 years, mean AIS 6.6. Most participants were interested in sleep and wanted to improve their sleep at baseline. As a result of repeated measurements, a significant decrease in AIS was observed in group A and B. For 3month, A decreased 1.8 ± 0.42, p = 0.0013, B decreased 2.4 ± 0.41, p < 0.0001 and for 6month, A decreased 1.5 ± 0.39, p = 0.0072, B decreased 1.4 ± 0.40, p = 0.0188.

Conclusions: Reports using sleep data and feedback from experts over the phone can improve the sleep of older people. This intervention could allow older people to reconsider not only their sleep but also their lifestyle, potentially improving their health.