Early Impact of the COVID-19 Outbreak on Sleep in a Large Spanish Sample

Abstract

INTRODUCTION: Coronavirus disease 2019 (COVID-19) forced Spain to implement unprecedented lockdown restriction. In this context, different factors could worsen sleep quality, but the impact of the pandemic and lockdown on sleep is still mostly unknown. In this cross-sectional study, we describe self-reported sleep disturbances in people without mental health disorders from a large Spanish sample (n = 15,070). METHODS: During the early phase of the lockdown (19-26 March), an online survey was launched using a snowball sampling method and included sociodemographic and clinical data along with the Depression, Anxiety, and Stress Scale (DASS-21) and the Impact of Event Scale (IES). Two items of the IES were employed to assess sleep characteristics. Descriptive and bivariate analysis and logistic regression models were performed. RESULTS: = .045). CONCLUSIONS: These findings could help clinicians and public health systems design and deliver tailored interventions, such as internet-delivered campaigns, to promote sleep quality in the general population.