TY - JOUR
T1 - Daily Relations Between Stress and Electroencephalography-Assessed Sleep
T2 - A 15-Day Intensive Longitudinal Design with Ecological Momentary Assessments
AU - Yap, Yang
AU - Tung, Natasha Yan Chi
AU - Collins, Jorja
AU - Phillips, Andrew
AU - Bei, Bei
AU - Wiley, Joshua F
PY - 2022/11
Y1 - 2022/11
N2 - Background: Recent studies have found bi-directional relations between stress and sleep. However, few studies have examined the daily associations between stress and electroencephalography (EEG) measured sleep.Purpose: This study examined the temporal associations between repeated ecological momentary assessments of stress and EEG-estimated sleep. Methods: Ninety-eight international or interstate undergraduate students (Mage = 20.54 ± 1.64, 76.5% female, 84.7% Asian) reported their stress levels four times daily at morning awakening, afternoon, evening, and pre-bedtime across 15 consecutive days (>4,000 total observations). Next-day stress was coded as an average of morning, afternoon, and evening stress. Z-Machine Insight+ recorded over 1,000 nights EEG total sleep time (TST), sleep onset latency, wake after sleep onset, sleep efficiency (SE), slow-wave sleep (SWS), and rapid eye movement (REM) sleep duration. Multilevel models, adjusted for covariates (i.e., sociodemographic, health factors, and daily covariates) and lagged outcomes, tested the daily within- and between-level stress-sleep associations. Results: After adjusting for covariates, within-person shorter TST (b = -0.11 [-0.21, -0.01], p =. 04), lower SE (b = -0.02 [-0.03, 0.00], p =. 04), less SWS (b = -0.38 [-0.66, -0.10], p =. 008), and less REM sleep (b = -0.32 [-0.53, -0.10], p =. 004) predicted higher next-day stress. Pre-bedtime stress did not predict same-night sleep. No significant results emerged at the between-person level. Conclusions: These findings demonstrate that poor or short sleep, measured by EEG, is predictive of higher next-day stress. Results for sleep architecture support the role of SWS and REM sleep in regulating the perception of stress. Given that only within-person effects were significant, these findings highlight the importance of examining night-to-night fluctuations in sleep affecting next-day stress and its impact on daytime functioning.
AB - Background: Recent studies have found bi-directional relations between stress and sleep. However, few studies have examined the daily associations between stress and electroencephalography (EEG) measured sleep.Purpose: This study examined the temporal associations between repeated ecological momentary assessments of stress and EEG-estimated sleep. Methods: Ninety-eight international or interstate undergraduate students (Mage = 20.54 ± 1.64, 76.5% female, 84.7% Asian) reported their stress levels four times daily at morning awakening, afternoon, evening, and pre-bedtime across 15 consecutive days (>4,000 total observations). Next-day stress was coded as an average of morning, afternoon, and evening stress. Z-Machine Insight+ recorded over 1,000 nights EEG total sleep time (TST), sleep onset latency, wake after sleep onset, sleep efficiency (SE), slow-wave sleep (SWS), and rapid eye movement (REM) sleep duration. Multilevel models, adjusted for covariates (i.e., sociodemographic, health factors, and daily covariates) and lagged outcomes, tested the daily within- and between-level stress-sleep associations. Results: After adjusting for covariates, within-person shorter TST (b = -0.11 [-0.21, -0.01], p =. 04), lower SE (b = -0.02 [-0.03, 0.00], p =. 04), less SWS (b = -0.38 [-0.66, -0.10], p =. 008), and less REM sleep (b = -0.32 [-0.53, -0.10], p =. 004) predicted higher next-day stress. Pre-bedtime stress did not predict same-night sleep. No significant results emerged at the between-person level. Conclusions: These findings demonstrate that poor or short sleep, measured by EEG, is predictive of higher next-day stress. Results for sleep architecture support the role of SWS and REM sleep in regulating the perception of stress. Given that only within-person effects were significant, these findings highlight the importance of examining night-to-night fluctuations in sleep affecting next-day stress and its impact on daytime functioning.
KW - Daily
KW - EEG
KW - EMA
KW - International students
KW - Sleep
KW - Stress
UR - http://www.scopus.com/inward/record.url?scp=85141889844&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/NHMRC/1178487
UR - http://purl.org/au-research/grants/NHMRC/1140299
U2 - 10.1093/abm/kaac017
DO - 10.1093/abm/kaac017
M3 - Article
C2 - 35568984
AN - SCOPUS:85141889844
SN - 0883-6612
VL - 56
SP - 1144
EP - 1156
JO - Annals of Behavioral Medicine
JF - Annals of Behavioral Medicine
IS - 11
ER -