Association of Policy Interventions With Tobacco Use Behaviors

Benchmarking Social Isolation, Loneliness, and Smoking: Challenges and Opportunities for Public Health

Over the past decade, the health implications of social isolation and loneliness garnered global attention due in part to a widely cited meta-analysis that benchmarked associations between cigarette smoking and mortality with associations between several social-relationship measures and mortality. Leaders in health systems, research, government, and popular media have since claimed that the harms of social isolation and loneliness are comparable to that of cigarette smoking. Our commentary examines the basis of this comparison. We suggest that comparisons between social isolation, loneliness, and smoking have been helpful for raising awareness of robust evidence linking social relationships and health. However, the analogy often oversimplifies the evidence and may overemphasize treating social isolation or loneliness at the individual level without sufficient attention on population-level prevention. As communities, governments, and health and social sector practitioners navigate opportunities for change, we believe now is time to focus greater attention on the structures and environments that promote and constrain healthy relationships.

Associations between Bonus and Lottery COVID-19 Vaccine Incentive Policies and Increases in COVID-19 Vaccination Rates: A Social Epidemiologic Analysis

The objectives of this longitudinal study were to analyze the impact of COVID-19 vaccine incentive policies (e.g., bonuses and lottery entries) on county-level COVID-19 vaccination rates, and to examine the interactive effects between COVID-19 vaccine incentive policies and socioeconomic factors on COVID-19 vaccination rates. Using publicly available data, county-level COVID-19 vaccination rates and socioeconomic data between January 2021 and July 2021 were extracted and analyzed across counties in the United States (US)-an analysis of 19,992 observations over time. Pooled ordinary least squares (OLS) analysis was employed to longitudinally examine associations with COVID-19 vaccination rates, and four random-effects models were developed to analyze interaction effects. Bonus incentive policies were effective in counties with a high per capita income, high levels of education, and a high percentage of racial minorities, but not in counties with high unemployment. Lottery incentive policies were effective in counties with a high percentage of racial minorities, but not in counties with high per capita income, high levels of education, and high unemployment. County-level socioeconomic factors should be considered ahead of implementing incentive policies, versus a blanket approach, to avoid the unintentional misuse of economic resources for futile COVID-19 vaccination outcomes.