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Dataset Information

Development and validation of prediction models for poor sleep quality among older adults in the post-COVID-19 pandemic era.


ABSTRACT:

Background

Corona Virus Disease 2019 (COVID-19) has a significant impact on sleep quality. However, the effects on sleep quality in the post-COVID-19 pandemic era remain unclear, and there is a lack of a screening tool for Chinese older adults. This study aimed to understand the prevalence of poor sleep quality and determine sensitive variables to develop an effective prediction model for screening sleep problems during infectious diseases outbreaks.

Materials and methods

The Peking University Health Cohort included 10,156 participants enrolled from April to May 2023. The Pittsburgh Sleep Quality Index (PSQI) scale was used to assess sleep quality. The data were randomly divided into a training-testing cohort (n = 7109, 70%) and an independent validation cohort (n<

SUBMITTER: Du M 

PROVIDER: S-EPMC10836252 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature