Sex differences in bidirectional associations between dimensions of Fitbit-derived sleep and emotional health across 1 year in American Life in Realtime, a nationally representative sample of U.S. adults

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STUDY OBJECTIVES: We examined sex differences in within-person bidirectional and between-person associations between dimensions of Fitbit-measured sleep and multiple self-reported emotional health measures among a large sample of U.S. adults across ~1 year. METHODS: Data were from American Life in Realtime (ALiR), a probability-based cohort representative of U.S. adults. Participants wore Fitbits to measure sleep and answered monthly questionnaires on depression, anxiety, and stress symptoms. Linear mixed models examined bidirectional associations of nighttime Fitbit sleep measures (mean and SD of total sleep time [TST], clock time of sleep onset [CTSO], and sleep maintenance efficiency [SMEff]) across 14-day intervals that immediately preceded or succeeded each monthly report of emotional health and between-person associations. Analyses adjusted for sociodemographic variables and examined sex differences. RESULTS: The sample (n = 733-754) had a mean age of 47.1 ± 14.6, 48.7%F. Generally, within-person findings indicated that shorter and longer TST, poorer SMEff, and greater variability in CTSO and SMEff than one's average predicted higher depression, anxiety, and stress scores in the subsequent monthly report. In reverse, worse-than-average emotional health for a given month predicted poorer sleep health in the succeeding 14 days, with fewer significant associations than models with sleep predicting emotional health. Between-person results consistently showed that, on average, adults with later CTSO and more sleep variability had poorer emotional health. Some findings were stronger in females. CONCLUSIONS: Poor sleep predicts worse emotional health and vice versa in a large representative sample, particularly among females, highlighting the need for tailored intervention strategies that consider sex-specific patterns in sleep-emotional health dynamics. Statement of Significance The present study examined bidirectional associations between sleep and emotional health in a population-based sample of several hundred U.S. adults using objective sleep measures (Fitbit-derived) across 1 year. Within-person findings indicated that poor sleep health (shorter and longer total sleep time, lower sleep maintenance efficiency, and more variability in these measures) predicted worse emotional health. Poor sleep more frequently predicted poor emotional health than vice versa. On average, in between-person findings, people with poorer sleep had worse emotional health. Some findings were stronger in females. Using novel longitudinal, high-frequency wearable data from a nationally representative cohort over a year, these findings highlight the need for tailored intervention strategies that consider sex-specific patterns in sleep-emotional health dynamics.

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