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Abstract Introduction Previous studies have shown that poor sleep is generally associated with daytime dysfunction. But few studies have examined this relationship in the general population across many dimensions of sleep health and it is not clear which sleep variables are most salient. Methods Data were collected as part of the National Sleep Foundation Sleep In America Poll. The population-based sample (N=1,042) provided data on a range of sleep questions. For the present analyses, self-reported difficulty concentrating during the day was examined as a nominal outcome (none vs occasional or frequent), with population-weighted regression analyses adjusted for age, sex, race/ethnicity, education, income, and PHQ2 depression score. Independent variables included sleep satisfaction, feeling refreshed, daytime energy, difficulty falling, frequent nighttime awakenings, difficulty resuming sleep, satisfaction with weekday and weekend sleep duration, ability to feel relaxed, overall sleep quality, weekday and weekend bedtime, waketime, time in bed, and sleep duration, perceived sleep need, and days/week (0-7) of: feeling well-rested, having trouble falling or staying asleep, sleep impacts functioning, daytime sleepiness, and sleep medication use. Bonferonni correction (0.05/26) was used. Results The following were associated with frequent daytime cognitive problems: poor sleep quality (RRR=17.9), fewer days well rested (RRR=0.66/day), and more days with difficulty falling asleep (RRR=1.56), difficulty staying asleep (RRR=1.47/day), days sleep impacts functioning (RRR=1.78/day), and days of daytime sleepiness (RRR=1.22/day), less sleep duration on weekdays (RRR=0.58/day) and more sleep debt (RRR=1.65/hr), low sleep satisfaction (RRR=33.93), rarely feeling refreshed (RRR=34.68), low energy (RRR=70.41), severe difficulty falling asleep (RRR=19.23), waking up (RRR=15.63), resuming sleep (RRR=12.86) and feeling relaxed (RRR=65.66), and dissatisfaction with sleep duration on weekdays (RRR=45.15) and weekends (RRR=28.42). In a stepwise regression model examining daytime concentration difficulties as an ordinal variable, after adjusting for covariates, the variables that explained the most unique variance were (in order) days/week sleep impacts functioning, ability to become relaxed, daytime energy, and difficulty waking in the night. Conclusion Many indicators of sleep health were associated with daytime dysfunction, implicating sleep duration, quality, efficiency, and daytime effects of sleep. Efforts might ideally focus on the daytime impacts of sleep rather than nighttime experiences. Support (if any)
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Kiley McNeil
Kathryn Kennedy
University of Arizona
Suzanne Gorovoy
University of Arizona
SLEEP
University of Arizona
National Sleep Foundation
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McNeil et al. (Sat,) studied this question.
synapsesocial.com/papers/68e6e501b6db6435876609e9 — DOI: https://doi.org/10.1093/sleep/zsae067.0082