Factors Associated with Physical Activity Increases and Decreases Among a Sample of Appalachian Residents During the COVID-19 Pandemic: A Cross-Sectional Study.

Introduction: Physical activity (PA) can prevent and reduce the deleterious physical and mental health effects of COVID-19 and associated lockdowns. Research conducted early in the pandemic demonstrates that a greater proportion of adults in the U.S. have decreased than increased PA, and the effects vary by sociodemographic factors. Ongoing evidence is important to identify patterns in PA changes during the pandemic. Purpose: This study aims to identify factors associated with increases and decreases in PA during the COVID-19 pandemic in a convenience sample of adults residing in Appalachia. Methods: Surveys were collected from a convenience sample of adults from eight counties in West Virginia from January to March 2021. Logistic regression analysis was used to identify sociodemographic, health, and rurality factors associated with (1) increased PA and (2) decreased PA during the pandemic, assessed retrospectively via self-report. Results: Analysis of 1,401 survey responses revealed that better self-rated health, lower body mass index, and higher income and education were associated with a greater likelihood of more time spent doing PA during the pandemic ( p ≤ .05). Respondents with lower self-rated health, higher body mass index, lower income, and lower levels of education-plus females and those living in a more urban county-were more likely to spend less time doing PA during the pandemic ( p ≤ .05). Implications: Analyses suggest that pre-pandemic disparities in PA by health, wealth, and education were exacerbated during the pandemic. These must be addressed before physical inactivity and ill health become endemic to the Appalachian Region.

Using adverse childhood experiences to explore the usefulness of community health needs assessments to monitor complex determinants of health at the local level.

BACKGROUND: Hospital led community health needs assessments (CHNAs) are intended to help medical care organizations assess determinants of health within the communities they serve. This study demonstrates the utility of data from non-profit hospital CHNAs to monitor complex health issues such as adverse childhood events (ACEs) at the local-level. METHODS: CHNA data were collected from August to November 2019 and analyzed July 2021. A series of logistic regressions were used to analyze associations between ACEs, mental health conditions, and self-rated health from a convenience sample of 2831 adults from two regional hospitals that service five counties located in central Appalachia. RESULTS: ACEs were associated with increased odds of experiencing all metal health conditions after adjusting for other exposures and demographics, including: bipolar disorder (AOR: 2.42, CL: 1.78, 3.30), chronic pain (AOR: 1.61, CL: 1.438, 1.87), depression (AOR: 2.05, CL: 1.76, 2.36), PTSD (AOR: 3.83, CL: 2.95, 4.98), and poor self-rated health (AOR: 1.88, CL: 1.65, 2.15). CONCLUSION: Findings suggest hospital CHNAs are a useful way to assess local data and should include factors known to antecede disease including associated risks and outcomes. CHNAs may provide an opportunity to fill important gaps in community surveillance and inform local prevention and treatment strategies.