Purpose: This is the first study to examine daily, bidirectional associations between sleep and wake behaviors/mood in urban American Indian/Alaska Native (AI/AN) adolescents.
Methods: Participants were 142 urban AI/AN adolescents (mean age = 14 years, 58% female). Sleep was measured with actigraphy (total sleep time [TST] and sleep efficiency) and daily diary (bedtime, wakeup time, and sleep quality) over seven consecutive days. Wake behaviors (caffeine consumption, physical activity, participation in cultural activities, and electronic use after 8p.m.) and mood upon awakening (higher rating indicates greater happiness) were measured via daily diary for seven consecutive days. Multilevel models examined the degree to which nightly sleep predicted next day's wake behaviors and, conversely, wake behaviors and mood predicted nightly sleep, controlling for age, gender, and weekday/weekend.
Results: Earlier bedtime and wakeup times predicted greater participation in physical activity the following day. Later bedtime and wakeup time, worse sleep quality, and shorter TST predicted greater electronic use the following night. Earlier bedtime and wakeup time and better sleep quality predicted higher mood ratings. Conversely, greater caffeine consumption during the day predicted both later bedtime and wakeup time. Participation in cultural activities is predicted later bedtime. More nighttime electronic use predicted both later bedtime and wakeup time, poorer sleep quality, and worse TST and sleep efficiency. Higher mood ratings in the morning predicted earlier bedtime and later wakeup time.
Discussion: Findings highlight dynamic associations between sleep and wake behaviors and mood in AI/AN adolescents and may elucidate novel pathways for intervention and future research.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10841395 | PMC |
http://dx.doi.org/10.1016/j.jadohealth.2023.08.048 | DOI Listing |
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