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

2021 ◽  
Author(s):  
Rebecca Robbins ◽  
Mahmoud Affouf ◽  
Matthew D Weaver ◽  
Mark É Czeisler ◽  
Laura K Barger ◽  
...  

UNSTRUCTURED REMOVE

10.2196/20546 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e20546 ◽  
Author(s):  
Rebecca Robbins ◽  
Mahmoud Affouf ◽  
Matthew D Weaver ◽  
Mark É Czeisler ◽  
Laura K Barger ◽  
...  

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.


10.2196/28057 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e28057
Author(s):  
Rebecca Robbins ◽  
Mahmoud Affouf ◽  
Matthew D Weaver ◽  
Mark É Czeisler ◽  
Laura K Barger ◽  
...  


Author(s):  
Jennette P. Moreno ◽  
Javad Razjouyan ◽  
Houston Lester ◽  
Hafza Dadabhoy ◽  
Mona Amirmazaheri ◽  
...  

Abstract Objectives and background Social demands of the school-year and summer environment may affect children’s sleep patterns and circadian rhythms during these periods. The current study examined differences in children’s sleep and circadian-related behaviors during the school-year and summer and explored the association between sleep and circadian parameters and change in body mass index (BMI) during these time periods. Methods This was a prospective observational study with 119 children ages 5 to 8 years with three sequential BMI assessments: early school-year (fall), late school-year (spring), and beginning of the following school-year in Houston, Texas, USA. Sleep midpoint, sleep duration, variability of sleep midpoint, physical activity, and light exposure were estimated using wrist-worn accelerometry during the school-year (fall) and summer. To examine the effect of sleep parameters, physical activity level, and light exposure on change in BMI, growth curve modeling was conducted controlling for age, race, sex, and chronotype. Results Children’s sleep midpoint shifted later by an average of 1.5 h during summer compared to the school-year. After controlling for covariates, later sleep midpoints predicted larger increases in BMI during summer, (γ = .0004, p = .03), but not during the school-year. Sleep duration, sleep midpoint variability, physical activity levels, and sedentary behavior were not associated with change in BMI during the school-year or summer. Females tended to increase their BMI at a faster rate during summer compared to males, γ = .06, p = .049. Greater amounts of outdoor light exposure (γ = −.01, p = .02) predicted smaller increases in school-year BMI. Conclusions Obesity prevention interventions may need to target different behaviors depending on whether children are in or out of school. Promotion of outdoor time during the school-year and earlier sleep times during the summer may be effective obesity prevention strategies during these respective times.


2021 ◽  
Author(s):  
Nick Fradkin ◽  
Susan M Zbikowski ◽  
Trevor Christensen

BACKGROUND Tobacco use continues to be the leading preventable cause of death, disease, and disability. Cessation options have been available direct-to-consumer and through employers, health plans, and publicly sponsored programs such as those offered by states. State-sponsored efforts have included tobacco control policies, public awareness campaigns, and tobacco quitlines. Washington state has been offering quitline services since 2000, and in 2015, the state began offering free access to a smartphone app to absorb excess quitline demand and reach more people with cessation services. Since most publicly funded tobacco cessation programs are designed to provide access to underserved communities and groups disproportionately impacted by tobacco use, effectiveness and reach are both important considerations for these public health interventions. This paper aims to add to this literature. OBJECTIVE To understand who used a free cessation app and the extent to which users represented at-risk and underrepresented populations. METHODS An observational study of 1,280 adult Washington state residents who registered for and activated the cessation app between October 1, 2018 and December 31, 2020. Demographic data were collected as part of sign-up, examined using standard descriptive measures, and assessed against state-level surveillance data for representativeness. RESULTS Participants were primarily non-Hispanic white (80.3%), identified as female (63.1%), were between ages 25-54 (76.1%), had at least some college education (68.4%), and reported a household income under $50,000 (70.3%). A minority of respondents were from rural counties (29.4%), identified as LGBQA (12.5%), were uninsured (12.2%), or were currently pregnant, planning pregnancy, or breastfeeding (6.7%). There was high representation of women, 35-54 year-olds, LGBQA individuals, and college graduates, as well as individuals with low household income, poor mental health, Medicaid insurance, and residences in rural counties. CONCLUSIONS A diverse population of tobacco users will use a free cessation app. Individuals who used the app in this study largely represent the demographic groups most at risk for cigarette smoking and associated premature disease and death. This may have implications for health equity.


2020 ◽  
Author(s):  
Rebecca Robbins ◽  
Mahmoud Affouf ◽  
Matthew D Weaver ◽  
Mark É Czeisler ◽  
Laura K Barger ◽  
...  

BACKGROUND Public health policies to curb the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and associated coronavirus disease 2019 (COVID-19), have resulted in significant alterations to daily routines among the general population. Sleep deficiency adversely affects immune function and could negatively impact the course of COVID-19. OBJECTIVE We examine changes in estimated sleep duration in five 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 from a smartphone application. Data were obtained from regular users of the smartphone application 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 COVID-19 using generalized linear mixed models. RESULTS Among the data: 957,022 out of 2,871,037 observations (33%) were from users in London; 549,151observations (19%) were from users in Los Angeles; 846,527 (30%) were from users in New York City, 251,113 (9%) were from users in Seoul; and 267,224 (9%) were from users in Stockholm. Average age among the sample was 35 years (±11 years). Prior to COVID-19, those residing in Seoul had the shortest estimated sleep duration (mean= 6h28m ±11.6m) and those residing in Stockholm had the longest estimated sleep duration (mean= 7h34m ± 9.9m). The onset of the COVID-19 pandemic was associated with a 13.7m increase of estimated sleep duration comparing March 2019 and March 2020 (95%CI: 13.1-14.3m, P <.001) and an increase of 22.3m comparing April 2019 and April 2020 (95%CI: 21.5-23.1m, P<.001). CONCLUSIONS 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 have provided people worldwide with an increased opportunity to sleep, which may itself enhance the response of the immune system to viral pathogens. CLINICALTRIAL


Author(s):  
Jose Daniel Gómez Olivas ◽  
Francisco Campos-Rodriguez ◽  
Eduardo Nagore ◽  
Luis Hernández ◽  
Valentin Cabriada ◽  
...  

SLEEP ◽  
2016 ◽  
Vol 39 (1) ◽  
pp. 79-86 ◽  
Author(s):  
Qing Chen ◽  
Huan Yang ◽  
Niya Zhou ◽  
Lei Sun ◽  
Huaqiong Bao ◽  
...  

2021 ◽  
Author(s):  
Alexander George Hajduczok ◽  
Kara Marie DiJoseph ◽  
Brinnae Bent ◽  
Audrey K Thorp ◽  
Jon B Mullholland ◽  
...  

BACKGROUND The Pfizer COVID-19 Vaccine employs a novel technology which utilizes messenger Ribonucleic Acid (mRNA) to deliver viral proteins to the host and elicit a protective immune response, but the short-term physiologic response to the vaccine has yet to be studied using wearable devices. OBJECTIVE Using wearable devices, we aim to characterize physiologic changes in response to COVID-19 vaccination in a small cohort of subjects. METHODS In this prospective observational study, physiologic data from 19 internal medicine residents at a single institution who received both doses of the Pfizer COVID-19 vaccine were collected using the WHOOP strap 3.0 to determine participant baseline resting heart rate (RHR), heart rate variability (HRV), respiratory rate (RR), and sleep duration. Primary outcomes included change from baseline in HRV, RHR, RR, and sleep duration. Percent change and standard deviation from baseline (defined as the 30 days of wear prior to vaccination) were calculated for six days after the first and second dose of the Pfizer COVID-19 for all participants who met inclusion and exclusion criteria. Symptom type, severity, and duration were reported as secondary outcomes. RESULTS In 19 individuals, mean age 28.8 (+/- 2.2), 53% female, percent change in HRV was decreased on day 1 (-13.44% +/- 13.62%) following administration of the first vaccine dose, and this response was blunted following dose 2 (-9.25% +/- 22.6%). RHR had a slight initial increase (+2.73% +/- 5.50%, +4.20% +/- 9.42%) after each dose and normalized after one day and RR showed no change compared to baseline after either vaccine dose. Sleep duration was increased up to 6 days post vaccine and peaked on day 3. Increased sleep duration prior to vaccine also demonstrated a more significant change in HRV compared to those who were sleep deprived (as determined by Pearson correlations). A more robust response in terms of symptom severity and duration was seen following dose 2. Arm soreness was the most reported symptom for both doses. CONCLUSIONS This represents the first observational study of the physiologic response in humans to any of the novel COVID-19 vaccines, as measured using wearable devices. We provide evidence that HRV decreases in response to both vaccine doses, with no consequent changes in RHR or RR. Sleep duration initially decreased following each dose and subsequently increased thereafter. Future studies with a larger cohort and comparison to other inflammatory and immune biomarkers, such as antibody response, will be needed to determine the true utility of this type of continuous wearable monitoring in regards to vaccine responses. Our data raises the possibility that increased sleep prior to vaccination may impact physiologic response, which could be used to track immune response to vaccination. CLINICALTRIAL NCT04304703: https://www.clinicaltrials.gov/ct2/show/NCT04304703


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