1001 Analyzing 4-year Estimates Of Sleep Duration And Quality Among 2 Million Users Of A Sleep Tracker In New York City. (12th April 2019)
- Record Type:
- Journal Article
- Title:
- 1001 Analyzing 4-year Estimates Of Sleep Duration And Quality Among 2 Million Users Of A Sleep Tracker In New York City. (12th April 2019)
- Main Title:
- 1001 Analyzing 4-year Estimates Of Sleep Duration And Quality Among 2 Million Users Of A Sleep Tracker In New York City
- Authors:
- Seixas, Azizi
Robbins, Rebecca
Affouf, Mahmoud
Beaugris, Louis
Donley, Tiffany
Moore, Jesse
Richards, Shannique
Jean-Louis, Girardin - Abstract:
- Abstract: Introduction: Population estimates for sleep duration and quality are inconsistent because they rely on self-report and smaller samples using objective data. Tracking and wearable devices may provide more accurate estimates of sleep duration and quality. In this study, we investigated estimates of sleep duration and quality among 2 million users of a mobile sleep application in an urban city in the United States (U.S.). Methods: We examined sleep duration and quality from 2, 194, 897 users of SleepCycle, a popular sleep tracking app. over a four-year period (2015 to 2018). In this analysis, we specifically explored differences in sleep duration and quality by demographic factors, including age and sex. We utilized graphical matrix representations of data (heat maps) and geospatial analyses to compare sleep duration (in hours) and sleep quality (based on a composite score amalgamating time in bed, deep-sleep time, sleep consistency, and amount of times fully awake), considering potential effects of day of the week and seasonality. Results: Among SleepCycle users, 45.6% (n=1, 001, 335) were female. The average age of the sample was 31.0 years. The mean sleep duration of the total sample was 7.11 hours; women slept longer than did men (M=7.27 hours vs. M=7.00 hours, p<.001). Increasing age tended to be associated with longer sleep duration and better sleep quality. Results also showed sleep duration was longer on weekends (M=7.19 hours), compared to weeknights (M=7.09Abstract: Introduction: Population estimates for sleep duration and quality are inconsistent because they rely on self-report and smaller samples using objective data. Tracking and wearable devices may provide more accurate estimates of sleep duration and quality. In this study, we investigated estimates of sleep duration and quality among 2 million users of a mobile sleep application in an urban city in the United States (U.S.). Methods: We examined sleep duration and quality from 2, 194, 897 users of SleepCycle, a popular sleep tracking app. over a four-year period (2015 to 2018). In this analysis, we specifically explored differences in sleep duration and quality by demographic factors, including age and sex. We utilized graphical matrix representations of data (heat maps) and geospatial analyses to compare sleep duration (in hours) and sleep quality (based on a composite score amalgamating time in bed, deep-sleep time, sleep consistency, and amount of times fully awake), considering potential effects of day of the week and seasonality. Results: Among SleepCycle users, 45.6% (n=1, 001, 335) were female. The average age of the sample was 31.0 years. The mean sleep duration of the total sample was 7.11 hours; women slept longer than did men (M=7.27 hours vs. M=7.00 hours, p<.001). Increasing age tended to be associated with longer sleep duration and better sleep quality. Results also showed sleep duration was longer on weekends (M=7.19 hours), compared to weeknights (M=7.09 hours). Sleep duration was longest (M=7.18 hours) during the winter, but shortest during the summer (M=7.11 hours). Sleep quality was highest (M=72.75) during the winter, but lowest during the summer (M=71.99). Conclusion: Our findings from big data are consistent with previously reported estimates of sleep duration and quality. Sleep duration varied by age, sex, day of the week, and season. Future studies should determine whether estimates of sleep duration and quality are affected by environmental factors such as geographic location. Support (If Any): NHLBI K01HL135452, NIA K07AG052685 … (more)
- Is Part Of:
- Sleep. Volume 42(2019)Supplement 1
- Journal:
- Sleep
- Issue:
- Volume 42(2019)Supplement 1
- Issue Display:
- Volume 42, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 42
- Issue:
- 1
- Issue Sort Value:
- 2019-0042-0001-0000
- Page Start:
- A403
- Page End:
- A403
- Publication Date:
- 2019-04-12
- Subjects:
- Sleep -- Physiological aspects -- Periodicals
Sleep disorders -- Periodicals
Sommeil -- Aspect physiologique -- Périodiques
Sommeil, Troubles du -- Périodiques
Sleep disorders
Sleep -- Physiological aspects
Sleep -- physiological aspects
Sleep Wake Disorders
Psychophysiology
Electronic journals
Periodicals
616.8498 - Journal URLs:
- http://bibpurl.oclc.org/web/21399 ↗
http://www.journalsleep.org/ ↗
https://academic.oup.com/sleep ↗
http://www.oxfordjournals.org/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=369&action=archive ↗ - DOI:
- 10.1093/sleep/zsz067.998 ↗
- Languages:
- English
- ISSNs:
- 0161-8105
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11817.xml