ORCID Profile
0000-0003-3433-2516
Current Organisation
University of Arizona
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Publisher: Wiley
Date: 10-07-2022
DOI: 10.1111/JSR.13680
Abstract: Habitual sleep duration and efficiency vary widely by age, gender, and racial/ethnic identity. Despite growing research on the importance of night‐to‐night, intrain idual variability (IIV) in sleep, few studies have examined demographic differences in sleep IIV. The present study describes typical sleep IIV overall and by demographics among healthy sleepers. Eight datasets of healthy sleepers ( N = 2,404 26,121 total days of sleep data) were synthesised to examine age, gender, and racial/ethnic identity differences in sleep IIV measured via diaries, actigraphy, and electroencephalography (EEG). Sleep IIV estimates included the intrain idual standard deviation (iSD), root mean square of successive differences (RMSSD), coefficient of variation (CV), and a validated Bayesian Variability Model (BVM). There was substantial IIV in sleep across measurement types (diary, actigraphy, EEG) for both sleep duration (iSD: 85.80 [diary], 77.41 [actigraphy], 67.04 [EEG] minutes RMSSD: 118.91, 108.89, 91.93 minutes CV: 19.19%, 19.11%, 18.57% BVM: 60.60, 58.20, 48.60 minutes) and sleep efficiency (iSD: 5.18% [diary], 5.22% [actigraphy], 6.46% [EEG] RMSSD: 7.01%, 7.08%, 8.44% CV: 5.80%, 6.27%, 8.14% BVM: 3.40%, 3.58%, 4.16%). Younger adults had more diary and actigraphy sleep duration IIV. Gender differences were inconsistent. White and non‐Hispanic/Latinx adults had less IIV in sleep duration and efficiency compared to racial/ethnic minority groups. Even among healthy sleepers, sleep varies widely from night‐to‐night. Like mean sleep, there also may be disparities in IIV in sleep by demographic characteristics. Study results help characterise normative values of sleep IIV in healthy sleepers.
Publisher: Wiley
Date: 19-10-2022
DOI: 10.1111/JSR.13506
Abstract: Nurses experience poor sleep and high stress due to demanding work environments. Night shift work is common among nurses and may exacerbate stress-sleep associations. We examined bidirectional associations between daily stress and sleep, and moderation by recent shift worker status and daily work schedule among nurses. Participants were 392 nurses (92% female 78% White, mean age = 39.54, SD = 11.15) who completed 14 days of electronic sleep diaries and actigraphy. They simultaneously completed assessments of daily stress and work schedule upon awakening (day shift vs. night shift [work between 9 p.m.-6 a.m.] vs. off work). Participants were classified as recent night shift workers if they worked at least one night shift during the past 14 days (n = 101 26%). In the entire s le, greater daily stress predicted shorter self-reported total sleep time and lower self-reported sleep efficiency that night. Shorter self-reported and actigraphy total sleep time and lower self-reported sleep efficiency predicted higher next-day stress. Compared with recent night shift workers, day workers reported higher stress after nights with shorter total sleep time. Stress-sleep associations mostly did not vary by nurses' daily work schedule. Sleep disturbances and stress may unfold in a toxic cycle and are prime targets for tailored interventions among nurses. Night shift workers may be less susceptible to the effects of short sleep on next-day stress. Research is needed to understand the short- and long-term effects of shift work and address the unique sleep challenges nurses face.
Publisher: Center for Open Science
Date: 17-12-2021
Abstract: Study Objectives: Habitual sleep duration and efficiency vary widely by age, gender, and racial/ethnic identity. Despite growing research on the importance of night-to-night, intrain idual variability (IIV) in sleep, few studies have examined demographic differences in sleep IIV. The present study describes typical sleep IIV overall and by demographics among healthy sleepers. Methods: Eight international data sets of healthy sleepers (N = 2404 26,121 total days of sleep data) were synthesized to examine age, gender, and racial/ethnic identity differences in sleep IIV measured via diaries, actigraphy, and electroencephalography. Sleep IIV estimates included the intrain idual standard deviation (iSD), root mean square of successive differences (RMSSD), coefficient of variation (CV), and a validated Bayesian Variability Model (BVM). Results: Sleep duration and efficiency varied widely from night-to-night within people (duration iSD: 67.04–85.80 minutes duration RMSSD: 91.93–118.91 minutes duration CV: 18.57–19.19% duration BVM: 48.60–60.60 minutes efficiency iSD: 5.18–6.46%, efficiency RMSSD: 7.01–8.44% efficiency CV: 5.80–8.14% efficiency BVM: 3.40–4.16%). Different metrics of IIV were strongly correlated for sleep duration (rs .58–.97) and sleep efficiency (rs .53–1.00). Younger adults had more IIV in diary and actigraphy sleep duration. Gender differences were inconsistent. White and non-Hispanic/Latinx adults had less IIV in sleep duration and efficiency compared to racial/ethnic minority groups. Conclusions: Even among healthy sleepers, sleep varies widely from night-to-night. Like mean sleep, there also may be disparities in IIV in sleep by demographic characteristics. Study results help characterize normative values of sleep IIV in healthy sleepers.
No related grants have been discovered for Daniel Taylor.