Virtual or In-Person: A Mixed Methods Survey to Determine Exercise Programming Preferences during COVID-19.

A survey was conducted to identify barriers and facilitators to engaging in virtual and in-person cancer-specific exercise during COVID-19. A theory-informed, multi-method, cross-sectional survey was electronically distributed to 192 individuals with cancer investigating preferences towards exercise programming during COVID-19. Respondents had previously participated in an exercise program and comprised two groups: those who had experience with virtual exercise programming ('Virtual') and those who had only taken part in in-person exercise ('In-Person'). Quantitative data were summarized descriptively. Qualitative data were thematically categorized using framework analysis and findings were mapped to an implementation model. The survey completion response rate was 66% (N = 127). All respondents identified barriers to attending in-person exercise programming during COVID-19 with concerns over the increased risk of viral exposure. Virtual respondents (n = 39) reported: (1) feeling confident in engaging in virtual exercise; and (2) enhanced motivation, accessibility and effectiveness as facilitators to virtual exercise. In-Person respondents (n = 88) identified: (1) technology as a barrier to virtual exercise; and (2) low motivation, accessibility and exercise effectiveness as barriers towards virtual exercise. Sixty-six percent (n = 58) of In-Person respondents reported that technology support would increase their willingness to exercise virtually. With appropriately targeted support, perceived barriers to accessing virtual exercise-including motivation, accessibility and effectiveness-may become facilitators. The availability of technology support may increase the engagement of individuals with cancer towards virtual exercise programming.

Undiagnosed SARS-CoV-2 seropositivity during the first 6 months of the COVID-19 pandemic in the United States.

Asymptomatic SARS-CoV-2 infection and delayed implementation of diagnostics have led to poorly defined viral prevalence rates in the United States and elsewhere. To address this, we analyzed seropositivity in 9089 adults in the United States who had not been diagnosed previously with COVID-19. Individuals with characteristics that reflected the U.S. population (n = 27,716) were selected by quota sampling from 462,949 volunteers. Enrolled participants (n = 11,382) provided medical, geographic, demographic, and socioeconomic information and dried blood samples. Survey questions coincident with the Behavioral Risk Factor Surveillance System survey, a large probability-based national survey, were used to adjust for selection bias. Most blood samples (88.7%) were collected between 10 May and 31 July 2020 and were processed using ELISA to measure seropositivity (IgG and IgM antibodies against SARS-CoV-2 spike protein and the spike protein receptor binding domain). The overall weighted undiagnosed seropositivity estimate was 4.6% (95% CI, 2.6 to 6.5%), with race, age, sex, ethnicity, and urban/rural subgroup estimates ranging from 1.1% to 14.2%. The highest seropositivity estimates were in African American participants; younger, female, and Hispanic participants; and residents of urban centers. These data indicate that there were 4.8 undiagnosed SARS-CoV-2 infections for every diagnosed case of COVID-19, and an estimated 16.8 million infections were undiagnosed by mid-July 2020 in the United States.