Factors Influencing Mobility During the COVID-19 Pandemic in Community-Dwelling Older Adults.

· More than a quarter of older adults report the COVID-19 pandemic has negatively affected their physical activity level, highlighting the importance of finding strategies to support physical activity and mitigate mobility decline in older adults during lockdowns from infectious disease threats. · Physical and environmental factors such as self-reported health, pain, and neighborhood walkability are key factors associated with mobility during the pandemic. Attention should be given to those with poorer physical health and greater environmental barriers pre-COVID-19 as they may be most at risk for declining mobility during periods of lockdown. To describe and identify factors influencing mobility among older adults during the first 5 months of the COVID-19 pandemic. A cross-sectional telesurvey. Community dwelling older adults, situated within the first 5 months of the COVID-19 pandemic, in Hamilton, Canada. A random sample of 2343 older adults were approached to be in the study, of which 247 completed the survey (N=247). Eligible participants were aged ≥65 years. Not applicable. Mobility was measured using global rating of change items and the Late Life Function Instrument (LLFI). Multivariate linear regression models were used to examine the association between mobility and related factors based on Webber's model. 247 older adults (29% male, mean age 78 ± 7.3 years) completed surveys between May and August 2020. Respectively, 26%, 10%, and 9%, rated their ability to engage in physical activity, housework, and move around their home as worse compared with the start of the pandemic. The mean LLFI score was 60.9 ± 13.4. In the model, walking volume (β=0.03 95% confidence interval 0.013, 0.047), fall history (β=-0.04, 95% confidence interval -0.08, -0.04), male sex (β=0.06, 95% confidence interval 0.02, 0.09), unpleasant neighborhood (β=-0.06, 95% confidence interval -0.11, -0.02), musculoskeletal pain (β=-0.07, 95% confidence interval -0.11, -0.03), and self-reported health (β=0.08, 95% confidence interval 0.03, 0.13) had the strongest associations with LLFI scores and explained 64% of the variance in the LLFI score. Physical and environmental factors may help explain poorer mobility during lockdowns. Future research should examine these associations longitudinally to see if factors remain consistent over time and could be targeted for rehabilitation. [ABSTRACT FROM AUTHOR]