Smart Phone/Ecological Momentary Assessment of Sleep and Daytime Symptoms Among Older Adults With Insomnia

Abstract

ObjectivesTo employ smart phone/ecological momentary assessment (EMA) methods to evaluate the impact of insomnia on daytime symptoms among older adults. DesignProspective cohort study SettingAcademic medical center ParticipantsTwenty-nine older adults with insomnia (M age = 67.5 ± 6.6 years, 69% women) and 34 healthy sleepers (M age = 70.4 ± 5.6 years, 65% women). MeasurementsParticipants wore an actigraph, completed daily sleep diaries, and completed the Daytime Insomnia Symptoms Scale (DISS) via smart phone 4x/day for 2 weeks (i.e., 56 survey administrations across 14 days). ResultsRelative to healthy sleepers, older adults with insomnia demonstrated more severe insomnia symptoms in all DISS domains (alert cognition, positive mood, negative mood, and fatigue/sleepiness). A series of mixed model analyses were performed using the Benjamini-Hochberg procedure for correcting false discovery rate (BH-FDR) and an adjusted p-value <0.05. Among older adults with insomnia, all five prior-night sleep diary variables (sleep onset latency, wake after sleep onset, sleep efficiency, total sleep time, and sleep quality) were significantly associated with next-day insomnia symptoms (i.e., all four DISS domains). The median, first and third quintiles of the effect sizes (R2) of the association analyses were 0.031 (95% confidence interval (CI: [0.011,0.432]), 0.042(CI: [0.014,0.270]), 0.091 (CI:[0.014,0.324]). ConclusionResults support the utility of smart phone/EMA assessment among older adults with insomnia. Clinical trials incorporating smart phone/EMA methods, including EMA as an outcome measure, are warranted.