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  1. Article ; Online: Correction: Estimated Sleep Duration Before and During the COVID-19 Pandemic in Major Metropolitan Areas on Different Continents: Observational Study of Smartphone App Data.

    Robbins, Rebecca / Affouf, Mahmoud / Weaver, Matthew D / Czeisler, Mark É / Barger, Laura K / Quan, Stuart F / Czeisler, Charles A

    Journal of medical Internet research

    2021  Volume 23, Issue 2, Page(s) e28057

    Abstract: This corrects the article DOI: 10.2196/20546.]. ...

    Abstract [This corrects the article DOI: 10.2196/20546.].
    Language English
    Publishing date 2021-02-22
    Publishing country Canada
    Document type Published Erratum
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1439-4456
    ISSN (online) 1438-8871
    ISSN 1439-4456
    DOI 10.2196/28057
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Estimated Sleep Duration Before and During the COVID-19 Pandemic in Major Metropolitan Areas on Different Continents: Observational Study of Smartphone App Data.

    Robbins, Rebecca / Affouf, Mahmoud / Weaver, Matthew D / Czeisler, Mark É / Barger, Laura K / Quan, Stuart F / Czeisler, Charles A

    Journal of medical Internet research

    2021  Volume 23, Issue 2, Page(s) e20546

    Abstract: ... in March 2020. We compared within-subject estimated sleep duration before and during the COVID-19 pandemic ... using estimated sleep duration data obtained from a smartphone app. The data were obtained from regular ... Objective: We aimed to examine changes in estimated sleep duration in 5 major metropolitan areas before and ...

    Abstract Background: Amid the COVID-19 pandemic, public health policies to curb the spread of SARS-CoV-2 and its associated disease, COVID-19, have resulted in significant alterations to daily routines (eg, work-from-home policies) that may have enabled longer sleep duration among the general population.
    Objective: We aimed to examine changes in estimated sleep duration in 5 major metropolitan areas before and after the start of the COVID-19 pandemic.
    Methods: We conducted a prospective observational study using estimated sleep duration data obtained from a smartphone app. The data were obtained from regular users of the smartphone app before and after the World Health Organization declared COVID-19 a pandemic in March 2020. We compared within-subject estimated sleep duration before and during the COVID-19 pandemic using generalized linear mixed models.
    Results: Among the 2,871,037 observations, 957,022 (33.3%) were from users in London; 549,151 (19.1%) were from users in Los Angeles; 846,527 (29.5%) were from users in New York City; 251,113 (8.7%) were from users in Seoul; and 267,224 (9.3%) were from users in Stockholm. The average age of the users in the sample was 35 years (SE 11 years). Prior to the COVID-19 pandemic, people residing in Seoul had the shortest estimated sleep duration (mean 6 hours 28 minutes, SE 11.6 minutes) and those residing in Stockholm had the longest estimated sleep duration (mean 7 hours 34 minutes, SE 9.9 minutes). The onset of the COVID-19 pandemic was associated with a 13.7 minute increase in estimated sleep duration when comparing March 2019 and March 2020 (95% CI 13.1-14.3, P<.001) and an increase of 22.3 minutes when comparing April 2019 and April 2020 (95% CI 21.5-23.1, P<.001).
    Conclusions: The average estimated sleep duration increased sharply in the months after the onset of the COVID-19 pandemic. This finding suggests that the implementation of COVID-19 mitigation strategies has provided people worldwide with increased opportunities to sleep, which may enhance the response of the immune system to viral pathogens.
    MeSH term(s) Adult ; COVID-19 ; Female ; Humans ; London ; Los Angeles ; Male ; Middle Aged ; Mobile Applications ; New York City ; Pandemics ; Prospective Studies ; SARS-CoV-2 ; Seoul ; Sleep ; Smartphone ; Software ; Sweden ; Time Factors ; Young Adult
    Language English
    Publishing date 2021-02-02
    Publishing country Canada
    Document type Journal Article ; Observational Study
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1439-4456
    ISSN (online) 1438-8871
    ISSN 1439-4456
    DOI 10.2196/20546
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Estimated Sleep Duration Before and During the COVID-19 Pandemic in Major Metropolitan Areas on Different Continents

    Robbins, Rebecca / Affouf, Mahmoud / Weaver, Matthew D / Czeisler, Mark É / Barger, Laura K / Quan, Stuart F / Czeisler, Charles A

    Journal of Medical Internet Research, Vol 23, Iss 2, p e

    Observational Study of Smartphone App Data

    2021  Volume 20546

    Abstract: ... within-subject estimated sleep duration before and during the COVID-19 pandemic using generalized linear mixed ... of the COVID-19 pandemic. MethodsWe conducted a prospective observational study using estimated sleep duration ... to examine changes in estimated sleep duration in 5 major metropolitan areas before and after the start ...

    Abstract BackgroundAmid the COVID-19 pandemic, public health policies to curb the spread of SARS-CoV-2 and its associated disease, COVID-19, have resulted in significant alterations to daily routines (eg, work-from-home policies) that may have enabled longer sleep duration among the general population. ObjectiveWe aimed to examine changes in estimated sleep duration in 5 major metropolitan areas before and after the start of the COVID-19 pandemic. MethodsWe conducted a prospective observational study using estimated sleep duration data obtained from a smartphone app. The data were obtained from regular users of the smartphone app before and after the World Health Organization declared COVID-19 a pandemic in March 2020. We compared within-subject estimated sleep duration before and during the COVID-19 pandemic using generalized linear mixed models. ResultsAmong the 2,871,037 observations, 957,022 (33.3%) were from users in London; 549,151 (19.1%) were from users in Los Angeles; 846,527 (29.5%) were from users in New York City; 251,113 (8.7%) were from users in Seoul; and 267,224 (9.3%) were from users in Stockholm. The average age of the users in the sample was 35 years (SE 11 years). Prior to the COVID-19 pandemic, people residing in Seoul had the shortest estimated sleep duration (mean 6 hours 28 minutes, SE 11.6 minutes) and those residing in Stockholm had the longest estimated sleep duration (mean 7 hours 34 minutes, SE 9.9 minutes). The onset of the COVID-19 pandemic was associated with a 13.7 minute increase in estimated sleep duration when comparing March 2019 and March 2020 (95% CI 13.1-14.3, P<.001) and an increase of 22.3 minutes when comparing April 2019 and April 2020 (95% CI 21.5-23.1, P<.001). ConclusionsThe average estimated sleep duration increased sharply in the months after the onset of the COVID-19 pandemic. This finding suggests that the implementation of COVID-19 mitigation strategies has provided people worldwide with increased opportunities to sleep, which may enhance the response of the immune system to viral pathogens.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Public aspects of medicine ; RA1-1270
    Subject code 333
    Language English
    Publishing date 2021-02-01T00:00:00Z
    Publisher JMIR Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Correction

    Robbins, Rebecca / Affouf, Mahmoud / Weaver, Matthew D / Czeisler, Mark É / Barger, Laura K / Quan, Stuart F / Czeisler, Charles A

    Journal of Medical Internet Research, Vol 23, Iss 2, p e

    Estimated Sleep Duration Before and During the COVID-19 Pandemic in Major Metropolitan Areas on Different Continents: Observational Study of Smartphone App Data

    2021  Volume 28057

    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2021-02-01T00:00:00Z
    Publisher JMIR Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

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