Abstract

Abstract Introduction Insufficient sleep, circadian misalignment, and altered eating patterns are linked to depression. Despite the temporal association between the sleep/wake and feed/fast cycles, it is unclear how depression severity influences this relationship. Methods Sixty-eight participants ages 18-65 years across the depression continuum wore an Actiwatch for 5-17 nights and reported daily meal times (730 nights total). Multilevel models tested previous night’s sleep timing and duration as predictors of the length of the next day’s eating window. Within-person sleep duration and timing were entered as Level 1 predictors to account for nightly variation in sleep. Between-person sleep duration and timing were entered as Level 2 predictors. A three-way interaction between depression severity and Level 2 sleep duration/timing was entered. Covariates included age, gender, and day (weeknight/weekend). Results Across participants, average later sleep timing predicted a longer eating window (Β= -.222; p =.005). Earlier sleep timing (Β= -.186; p < .001) and shorter sleep duration(Β= -.103; p < .001) relative to a person’s average each predicted a longer next-day eating window. A three-way interaction was found between sleep duration, timing, and depression (Β= -.159; p = .002). At shorter sleep durations, individuals with higher depression severity had a positive relationship between sleep timing and eating window length, and individuals with low depression had a negative relationship between sleep timing and eating window length. Conclusion At shorter sleep durations (< 6.5 hr), individuals with high depression and later sleep timing or low depression and early sleep timing had the longest eating windows, which have been linked to adverse metabolic health. Future experiments should test short sleep duration, sleep timing, and depression as potential causes of lengthened eating windows to determine if targeting sleep duration and timing could improve adverse metabolic markers in depression. Support NIMH K.A.R. MH103303

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