The Association Between Depression, Anxiety and COVID-19 Symptoms

Abstract

Background: The variation of COVID-19 illness is not fully understood. There is a need for further identification of predictors for COVID-19-related health outcomes, which may improve the delivery of healthcare. The primary objective was to identify whether anxiety/depression symptoms are associated with the number of COVID-19 symptoms. The second objective was to examine differences in anxiety and depression symptoms between individuals with or without COVID-19 symptoms. Methods: 782 Virginians ages 18 to 87 years, enrolled from March to May 2021 and were followed-up for six months. Vibrent Health online platform was used to collect data. PHQ-9, GAD-7, and CDC's COVID-19 tracing form, were used to assess depression, anxiety, and COVID-19 symptoms, respectively. An MMRM test was used to examine whether anxiety and depression symptoms were associated with the number of COVID-19 symptoms. Age, race, sex, medical diagnoses, and COVID-19 related economic/social hardships were included as covariates. Mann-Whitney U tests were used to assess differences in anxiety/depression at all study time points. We conducted analyses using SAS 9.4, p-values < .05 were considered significant. Results: Depression/anxiety symptoms, COVID-19 related economic/social hardships, and medical diagnoses, were significantly associated with the number of COVID-19 symptoms (p<.05), whereas age, sex, and race were not (p>.05). Overall, PHQ9 and GAD7 scores were consistently and significantly higher for individuals with COVID-19 symptoms than those without COVID-19 symptoms (p<.05). Conclusions: The severity of depression and anxiety symptoms is linked to symptoms of COVID-19 over time. Physical and mental health integrated healthcare approaches may be necessary. Further investigation into causative mechanisms is needed.