P017 Relationships between daily step count and sleep in over 30 million person-days of real-world longitudinal monitoring data

Abstract Given their importance for health and wellness, the relationship between sleep and physical activity has garnered considerable research attention. Previous studies have, however, often been limited by relatively small and geographically limited samples, reliance on self-report measures of sleep, and little longitudinal data. We aimed to expand upon previous research by exploring relationships between sleep and daily step count in a large global sample (N = 76,434). Over 30 million person-days of sleep- and health-related monitoring data were collected through Withings’ consumer health-tracking devices from users in 250 regions worldwide. We used generalized additive models to investigate the relationship between daily step count with total sleep time (TST), sleep onset latency (SOL), and sleep efficiency (SE). Linearly, a between-subject difference of 10,000 daily steps predicts reduced SOL (-2.72 95%CI ± 0.01 min) and TST (-11.72 ± 0.06 min), and increased SE (1.19 ± 0.01 %). Notably, our descriptive analysis showed that, on average, a very small proportion of users (5.1%) attained both the recommended 7-9 hours of sleep per night and ≥10,000 daily steps, whilst 17% of the sample lead sedentary lives (<5,000 daily steps) and sleep less than 7 hours per night. Findings highlight the interplay between sleep and daily step count in a large global sample, whilst also calling into question the compatibility of prominent sleep duration guidelines with physical activity recommendations. More research is needed to further investigate the temporal dynamics of the relationship between sleep and daily step count.

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Publication Details

Journal
SLEEP Advances
Published
2024-10-01
DOI
https://doi.org/10.1093/sleepadvances/zpae070.099
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
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article

P017 Relationships between daily step count and sleep in over 30 million person-days of real-world longitudinal monitoring data

Jack Manners, Hannah Scott, Ganesh R. Naik, Barbara Toson et al.
SLEEP Advances
Sleep and Work-Related Fatigue
article

P017 Relationships between daily step count and sleep in over 30 million person-days of real-world longitudinal monitoring data

Jack Manners, Hannah Scott, Ganesh R. Naik, Barbara Toson, Claire Dunbar, John Fitton, Bastien Lechat, Danny J. Eckert, Peter Catcheside, Anna L. Hudson, Andrew Vakulin, Kelly Sansom, Lucía Pinilla, Duc Phuc Nguyen
article en

Abstract

Abstract Given their importance for health and wellness, the relationship between sleep and physical activity has garnered considerable research attention. Previous studies have, however, often been limited by relatively small and geographically limited samples, reliance on self-report measures of sleep, and little longitudinal data. We aimed to expand upon previous research by exploring relationships between sleep and daily step count in a large global sample (N = 76,434). Over 30 million person-days of sleep- and health-related monitoring data were collected through Withings’ consumer health-tracking devices from users in 250 regions worldwide. We used generalized additive models to investigate the relationship between daily step count with total sleep time (TST), sleep onset latency (SOL), and sleep efficiency (SE). Linearly, a between-subject difference of 10,000 daily steps predicts reduced SOL (-2.72 95%CI ± 0.01 min) and TST (-11.72 ± 0.06 min), and increased SE (1.19 ± 0.01 %). Notably, our descriptive analysis showed that, on average, a very small proportion of users (5.1%) attained both the recommended 7-9 hours of sleep per night and ≥10,000 daily steps, whilst 17% of the sample lead sedentary lives (<5,000 daily steps) and sleep less than 7 hours per night. Findings highlight the interplay between sleep and daily step count in a large global sample, whilst also calling into question the compatibility of prominent sleep duration guidelines with physical activity recommendations. More research is needed to further investigate the temporal dynamics of the relationship between sleep and daily step count.

SLEEP AdvancesVol. 5(Supplement_1)
Flinders University (AU), Adelaide Institute for Sleep Health (AU)
Openalex Percentile: Top 72%
Sleep and Work-Related Fatigue
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