Sleep During the COVID-19 Pandemic: Longitudinal Observational Study Combining Multisensor Data With Questionnaires.

Nguyen Luong Gloria Mark Juhi Kulshrestha Talayeh Aledavood

Published in: JMIR mHealth and uHealth (2024)

Our study provided a comprehensive view of the factors affecting sleep patterns during the late stage of the pandemic. As we navigate the future of work after the pandemic, understanding how work arrangements, lifestyle choices, and sleep quality interact will be crucial for optimizing well-being and performance in the workforce.

Keyphrases

sleep quality
sars cov
coronavirus disease
physical activity
depressive symptoms
metabolic syndrome
public health
cardiovascular disease
electronic health record
weight loss
current status
type diabetes
cross sectional
machine learning
psychometric properties
data analysis