Demographic and health factors associated with pandemic anxiety in the context of COVID-19

Objectives The mental health consequences of COVID-19 are predicted to have a disproportionate impact on certain groups. We aimed to develop a brief measure, the Pandemic Anxiety Scale, to capture the specific aspects of the pandemic that are provoking anxiety, and explore how these vary by health and demographic factors. Design Data were from a convenience sample of parents (N = 4,793) and adolescents (N = 698) recruited in the first 6 weeks of lockdown. Methods Factor analytic and IRT methods were used to validate the new measure in both parent and adolescent samples. Associations between scores on the new measure and age, gender, household income, and physical health status were explored using structural equation modelling (SEM). Results Two factors were identified in both samples: disease anxiety (e.g., catching, transmitting the virus) and consequence anxiety (e.g., impact on economic prospects); and unique associations with health and demographic factors were observed. Conclusions Anxieties due to the COVID-19 are multifaceted, and the PAS is a short, reliable, and valid measure of these concerns. These anxieties are differentially associated with demographic, social, and health factors, which should be considered when developing strategies to mitigate the mental health impact of the pandemic.