An investigation of COVID-19 related worry in a United States population sample

Background: Although general anxiety has increased markedly since the onset of the COVID-19 pandemic, little has been reported about the demographic distribution of COVID-19 related worry, its relationship with psychological features, and its association with depression symptoms in the United States (US). Methods: 2117 participants, selected to represent the age, gender, and race/ethnic distributions of the US population, completed an online survey. Analysis of variance and correlation analyses were used to assess relationships between the COVID-19 related worry score and demographic characteristics, past psychiatric diagnoses, personality dimensions, and current psychological symptoms. Logistic regression was used to evaluate the association between the COVID-19 worry score and depression symptoms. Results: The COVID-19 worry score was markedly higher in younger (18-49 year-olds) than older participants, and moderately higher in men, those who were married or cohabiting, with post-college education, and/or living in large urban areas. The COVID-19 worry score also was markedly higher in those who reported having been diagnosed with a psychiatric disorder. The COVID-19 worry score correlated with neuroticism, current psychological symptoms, and COVID-19 risk and COVID-19 behavior scores. The COVID-19 worry score was associated with current depression symptoms (OR = 1.10, 95% CI = 1.09-1.11; p < 0.001) in univariable models and remained significant after adjustment for other correlates of depression, including COVID-19 risk. Conclusions: In this US sample, the COVID-19 worry score was inversely related to age, strongly related to psychological symptoms, and independently associated with depression symptoms. These findings have implications for the community mental health response to the COVID-19 pandemic in the US.