scholarly journals Season of Birth, Gender, and Social-Cultural Effects on Sleep Timing Preferences in Humans

SLEEP ◽  
2009 ◽  
Vol 32 (3) ◽  
pp. 423-426 ◽  
Author(s):  
Vincenzo Natale ◽  
Ana Adan ◽  
Marco Fabbri
2011 ◽  
Vol 28 (6) ◽  
pp. 536-540 ◽  
Author(s):  
Lorenzo Tonetti ◽  
Marco Fabbri ◽  
Monica Martoni ◽  
Vincenzo Natale
Keyword(s):  

2015 ◽  
Vol 12 (5) ◽  
pp. 5603-5613 ◽  
Author(s):  
Yuee Huang ◽  
Dongdong Lin ◽  
Chuanwen Lu ◽  
Gholam Ali ◽  
James Metzger ◽  
...  
Keyword(s):  

2020 ◽  
Vol 60 (2) ◽  
pp. 182-193
Author(s):  
Kacem Abdelhadi ◽  
Houar Abdelatif ◽  
Zerf Mohamed ◽  
Bengoua Ali

SummaryThis study tests the impact of COVID-19 on sleep of Algerian population before and during the COVID-19 quarantine by an estimated online survey, adapted from the PSQI Italian version. Including 1210 participants (age between 18-60 years old). The statistical analysis was carried out using SPSS version 22.0 software. Our results showed a significant change in sleeping quality during quarantine, the sleep timing markedly changed, we also noticed additional use of sleeping medications. Algerian scientists recommend to build public awareness and to provide necessary information regarding Algerian sleep quality, especially for Algerian adults.


2021 ◽  
Vol 3 (2) ◽  
pp. 251-258
Author(s):  
Christian Benedict ◽  
Luiz Eduardo Mateus Brandão ◽  
Ilona Merikanto ◽  
Markku Partinen ◽  
Bjørn Bjorvatn ◽  
...  

The COVID-19 pandemic and related restrictions, such as stay-at-home-orders, have significantly altered daily routines and lifestyles. Given their importance for metabolic health, we herein compared sleep and meal timing parameters during vs. before the COVID-19 pandemic based on subjective recall, in an anonymous Swedish survey. Among 191 adults (mean age: 47 years; 77.5% females), we show that social jetlag, i.e., the mismatch in sleep midpoint between work and free days, was reduced by about 17 min during the pandemic compared with the pre-pandemic state (p < 0.001). Concomitantly, respondents’ sleep midpoint was shifted toward morning hours during workdays (p < 0.001). A later daily eating midpoint accompanied the shift in sleep timing (p = 0.001). This effect was mainly driven by a later scheduled first meal (p < 0.001). No difference in the timing of the day’s last meal was found (p = 0.814). Although our survey was limited in terms of sample size and by being cross-sectional, our results suggest that the delay in sleep timing due to the COVID-19 pandemic was accompanied by a corresponding shift in the timing of early but not late meals.


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