The first set of analyses employed two different logistic regression models to estimate the likelihood of having symptoms indicative of clinical depression and anxiety, respectively, as a function of the rate of COVID-19 cases per 10 people and survey time point. MethodsWe analyzed results from a survey of 5907 individuals in the United States using Amazon Mechanical Turk (MTurk) the survey was administered during 4 week-long periods in 2020 and survey respondents were from all 50 states and Washington DC. ObjectiveThe objective of this study was to systematically examine whether there was a COVID-19 pandemic-related increase in the self-reported use of digital mental health tools and other technologies to manage mental health. BackgroundAccompanying the rising rates of reported mental distress during the COVID-19 pandemic has been a reported increase in the use of digital technologies to manage health generally, and mental health more specifically.
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