Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

0952 A Long Winter’s Sleep: What Does Big Data From Consumer Sleep Technology Tell Us?

View through CrossRef
Abstract Introduction Light is the most powerful zeitgeber influencing sleep-wake patterns, and winter’s shorter days have profound effects on mood, energy, and metabolic function. Here, we leverage big data from consumer sleep technology to examine the relationship between objectively measured sleep in winter versus summer months in the United States. Methods The dataset included 21,101 users residing in the US across 1,255,518 nights (age range: 17-90, mean age: 46.6 ± 16.7 years, 59% female). Data were extracted from 01 January 2019 until 31 August 2022. Seasons were defined according to the Northern Hemisphere’s meteorological calendar and included winter (December - February) and summer (June - August). USA public holidays were mapped and removed from the data. The relationships between objectively measured sleep and winter versus summer were examined using linear regression models, controlling for age and gender. Results A shift to later average monthly wake times were observed in both summer and winter, peaking in summer. Similarly, bedtimes shift later in summer and winter, yet the shift in summer was greater than winter (winter vs summer: waketime: 07:06 vs 07:07, ß = -0.46, SE = 0.023, p< 0.001, bedtime: 23:17 vs 23:23, ß = 0.12, SE = 0.006, p< 0.001). Although bedtime and wake times delay during the winter and summer seasons, measures of sleep health including sleep duration, sleep efficiency, and SleepScore peak in winter and slowly decline to their lowest point during the summer months (winter vs. summer: SleepScore 78.4 vs 77.6, ß = -0.89, SE = 0.17, p< 0.001; sleep duration 359.6 min vs 352.8 min, ß = -4.8, SE = 1.02, p< 0.001; sleep efficiency 77.5 vs 76.6, ß = 0.86, SE = 0.038, p< 0.001). Conclusion Bedtime and wake time delays were greater in summer than winter, likely contributing to small improvements to sleep quality, duration, and efficiency in winter compared to summer. These findings are generally supported by previous research examining sleep-wake patterns in locations with extreme seasonal differences, such as Northern Norway, where, despite midnight sun and polar nights, researchers have found little variation in sleep-wake timing. Support (if any) SleepScore Labs
Title: 0952 A Long Winter’s Sleep: What Does Big Data From Consumer Sleep Technology Tell Us?
Description:
Abstract Introduction Light is the most powerful zeitgeber influencing sleep-wake patterns, and winter’s shorter days have profound effects on mood, energy, and metabolic function.
Here, we leverage big data from consumer sleep technology to examine the relationship between objectively measured sleep in winter versus summer months in the United States.
Methods The dataset included 21,101 users residing in the US across 1,255,518 nights (age range: 17-90, mean age: 46.
6 ± 16.
7 years, 59% female).
Data were extracted from 01 January 2019 until 31 August 2022.
Seasons were defined according to the Northern Hemisphere’s meteorological calendar and included winter (December - February) and summer (June - August).
USA public holidays were mapped and removed from the data.
The relationships between objectively measured sleep and winter versus summer were examined using linear regression models, controlling for age and gender.
Results A shift to later average monthly wake times were observed in both summer and winter, peaking in summer.
Similarly, bedtimes shift later in summer and winter, yet the shift in summer was greater than winter (winter vs summer: waketime: 07:06 vs 07:07, ß = -0.
46, SE = 0.
023, p< 0.
001, bedtime: 23:17 vs 23:23, ß = 0.
12, SE = 0.
006, p< 0.
001).
Although bedtime and wake times delay during the winter and summer seasons, measures of sleep health including sleep duration, sleep efficiency, and SleepScore peak in winter and slowly decline to their lowest point during the summer months (winter vs.
summer: SleepScore 78.
4 vs 77.
6, ß = -0.
89, SE = 0.
17, p< 0.
001; sleep duration 359.
6 min vs 352.
8 min, ß = -4.
8, SE = 1.
02, p< 0.
001; sleep efficiency 77.
5 vs 76.
6, ß = 0.
86, SE = 0.
038, p< 0.
001).
Conclusion Bedtime and wake time delays were greater in summer than winter, likely contributing to small improvements to sleep quality, duration, and efficiency in winter compared to summer.
These findings are generally supported by previous research examining sleep-wake patterns in locations with extreme seasonal differences, such as Northern Norway, where, despite midnight sun and polar nights, researchers have found little variation in sleep-wake timing.
Support (if any) SleepScore Labs.

Related Results

Acupuncture as therapeutic resource in patient with bruxism
Acupuncture as therapeutic resource in patient with bruxism
Bruxism is the harmful habit of clenching or grinding the teeth during the day and / or night, with unconscious pattern, with particular intensity and frequency, outside the functi...
Sleep characteristics and cardiometabolic disease risk factors in corporate executives
Sleep characteristics and cardiometabolic disease risk factors in corporate executives
SUMMARY Hours spent in work and sleep comprise the majority of time in a typical day of working adults. As a result, the workplace is a key setting for public health action. Among ...
Determining the level of insomnia in postpartum women, comparing their age and child’s age
Determining the level of insomnia in postpartum women, comparing their age and child’s age
IntroductionStudies have shown that postpartum women are more affected by sleep disorders than women who have not given birth. Reasons for sleep disturbances include insufficient s...
Circuits and mechanisms controlling SW-REM alternation in sleep
Circuits and mechanisms controlling SW-REM alternation in sleep
Sleep is one of the fundamental requirements of all animals from nematodes to humans. It appears in different formats with shared features such as reduced muscle activities and red...
THEORETICAL AND METHODOLOGICAL BASIS OF CONSUMER BEHAVIOR UNDER MODERN CONDITIONS
THEORETICAL AND METHODOLOGICAL BASIS OF CONSUMER BEHAVIOR UNDER MODERN CONDITIONS
Modern consumers are faced with rapid changes in the socio-economic environment, which affects their behavior. That is why there is a need to study the theoretical foundations of c...

Back to Top