Determinants of sleep quality in adults during the COVID-19 pandemic: COVID-Inconfidentes, a population-based study

Abstract

Background: The coronavirus disease 2019 (COVID-19) pandemic has had a negative effect on the health and behavior of the world population. Objectives: To evaluate sleep quality and its associated factors in adults during the COVID-19 pandemic in Brazil. Methods: This is a population-based serological survey of 1762 adults collected from October to December 2020 in the Iron Quadrangle region, Brazil. To measure sleep quality, we used the Pittsburgh Sleep Quality Index questionnaire and socio-demographic, health, health related behaviors, anxiety, vitamin D, weight gain/loss, and pandemic characteristics were assessed using a structured questionnaire. Univariate and multivariate analyses were performed to identify the factors associated with sleep quality. Results: More than half of the individuals evaluated had poor sleep quality (52.5%). In multivariate analysis, factors related to sleep quality included living alone (OR=2.36; 95%CI: 1.11-5.00), anxiety disorder (OR=2.22; 95%CI: 1.20-4.14), 5.0% weight loss during the pandemic (OR=1.66; 95%CI: 1.01-2.76), weight gain of 5.0% (OR=1.90; 95%CI: 1.08-3.34), insufficient vitamin D scenario (OR=1.47; 95%CI: 1.01-2.12), and symptoms of COVID-19 (OR=1.94; 95%CI: 1.25-3.01). Conclusions: Our study revealed that more than half of the participants had poor sleep quality during the COVID-19 outbreak, and the factors associated with poor sleep quality were related to the pandemic, such as insufficient vitamin D scenario and weight change.

Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic

“…The sample was selected in three stages: census sector (probability proportional to the number of households), household (systematic sampling), and resident (randomly). Therefore, for each city, four strata were defined according to the average monthly incomes available in the 2010 demographic census 29, to ensure representativeness of different socioeconomic strata in the sample [28,29]. Based on the sample calculation, 1464 individuals should have been interviewed in the two cities evaluated.…”