Social and political correlates of adult and dependent-child COVID-19 vaccination behavior in rural America.

Objective: This paper describes the individual-level correlates of self and dependent-child COVID-19 vaccination behavior among adults in rural America. Methods: We draw on the data from a large-scale survey of rural Americans conducted in 2022, after most Americans had the opportunity to receive the vaccination easily and freely. The survey yielded an analytic sample of 841 adults and 530 adults with dependent children. We fit a series of linear probability models predicting vaccine refusal and full vaccination for adult respondents and vaccine refusal and full vaccine coverage among their dependent children. Predictors of interest include political party, social and economic conservatism, race and ethnicity, age, education, and workplace vaccine requirements. Results: We find political party, ideology, education, and work requirements were significant (p <.05) drivers of rural adults' vaccination behavior, and that the correlates of vaccine refusal and full vaccination largely mirrored one another among adults. For dependent children, few of our focal predictors are associated with vaccination. Politics played a lesser role in children's vaccination than for adults, and older parents were the least likely to refuse vaccines for their children. Race and ethnicity had inconsistent associations across outcomes and model specifications. Conclusion: This analysis presents important evidence on the drivers of COVID-19 vaccine behaviors among rural American households. Documentation of vaccination behaviors in settings when vaccines are widely available can isolate demand- from supply-side factors and thus inform future public health crises.

The relationship between self-rated health and local government spending on parks and recreation in the United States from 1997 to 2012.

The purpose of this study was to analyze the relationship between local government spending on parks and recreation and self-rated health in the United States. Using four publicly available datasets from the U.S. Census Bureau, the Current Population Survey, the Decennial Census, the American Community Survey, and the State and Local Government Finance Survey for the years 1997-2012 (n = 303,203), we estimated a multinomial and a binary logit model predicting self-rated health with county area percentage of expenditures contributed to parks and recreation operations as the independent variable of interest. A one-percent increase in the portion of county area expenditures contributed to parks and recreation operations was associated with decreased relative risk of very good (RRR = 0.95; 95% CI = 0.93, 0.96), good (RRR = 0.95; 95% CI = 0.93, 0.97), or fair (RRR = 0.89; 95% CI = 0.87, 0.92) health relative to excellent health. The effect held in the binary logit model for adult men and women, but not youth. Higher levels of parks and recreation spending were associated with higher levels of self-rated health for adults across the United States from 1997 to 2012. Investing greater portions of local government budgets in parks and recreation operations may have the potential to improve self-rated health among residents.