4.6 Article

Gender differences in nighttime sleep patterns and variability across the adult lifespan: a global-scale wearables study

Journal

SLEEP
Volume 44, Issue 2, Pages -

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/sleep/zsaa169

Keywords

sleep; big data; aging; gender; sleep variability; sleep misalignment; sleep timing and duration

Funding

  1. Independent Research Fund Denmark (Microdynamics of Influence in Social Systems)
  2. Villum Foundation (Nation-scale Social Networks)

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Through analyzing a global sleep dataset, the study finds that sleep duration decreases, nighttime awakenings increase, and sleep onset and offset advance with age. Gender and BMI also play a role in sleep patterns, with women experiencing more nighttime awakenings and men generally sleeping less.
Study Objectives: Previous research on sleep patterns across the lifespan have largely been limited to self-report measures and constrained to certain geographic regions. Using a global sleep dataset of in situ observations from wearable activity trackers, we examine how sleep duration, timing, misalignment, and variability develop with age and vary by gender and BMI for nonshift workers. Methods: We analyze 11.14 million nights from 69,650 adult nonshift workers aged 19-67 from 47 countries. We use mixed effects models to examine age-related trends in naturalistic sleep patterns and assess gender and BMI differences in these trends while controlling for user and country-level variation. Results: Our results confirm that sleep duration decreases, the prevalence of nighttime awakenings increases, while sleep onset and offset advance to become earlier with age. Although men tend to sleep less than women across the lifespan, nighttime awakenings are more prevalent for women, with the greatest disparity found from early to middle adulthood, a life stage associated with child-rearing. Sleep onset and duration variability are nearly fixed across the lifespan with higher values on weekends than weekdays. Sleep offset variability declines relatively rapidly through early adulthood until age 35-39, then plateaus on weekdays, but continues to decrease on weekends. The weekend-weekday contrast in sleep patterns changes as people age with small to negligible differences between genders. Conclusions: A massive dataset generated by pervasive consumer wearable devices confirms age-related changes in sleep and affirms that there are both persistent and life-stage dependent differences in sleep patterns between genders.

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