Ontology highlight
ABSTRACT:
SUBMITTER: Hong J
PROVIDER: S-EPMC8479255 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature
Hong Jaehyoung J Choi Su Jung SJ Park Se Ho SH Hong Hyukpyo H Booth Victoria V Joo Eun Yeon EY Kim Jae Kyoung JK
iScience 20210914 10
Shift workers and many other groups experience irregular sleep-wake patterns. This can induce excessive daytime sleepiness that decreases productivity and elevates the risk of accidents. However, the degree of daytime sleepiness is not correlated with standard sleep parameters like total sleep time, suggesting other factors are involved. Here, we analyze real-world sleep-wake patterns of shift workers measured with wearables by developing a computational package that simulates homeostatic sleep ...[more]