Agunwamba, Amenah A.

Abstract Background: Human papillomavirus (HPV) vaccination rates in the United States remain low and lag behind other recommended adolescent vaccines. Studies evaluating the association of geographic and area-level characteristics with HPV vaccination rates provide a valuable resource for public health planning. Method: We used the Rochester Epidemiology Project data linkage system to ascertain HPV vaccination rates between 2010 and 2015 in a 7-county region of southern Minnesota. Geocoded individual patient data were spatially linked to socioeconomic data from the American Community Survey at the census block group level. Bayesian hierarchical logistic regression was used to model incident vaccination rates, adjusting for individual- and area-level sociodemographic characteristics, and geolocation. Geolocation was modeled as an approximated Gaussian field using a Stochastic Partial Differential Equations approach. All models were estimated using Integrated Nested Laplace Approximations. Results: In adjusted models, increasing age and female sex were associated with increased HPV vaccination. Lower socioeconomic status was associated with decreased rates of initiation [adjusted odds ratio (AOR); 95% confidence interval = 0.90 (0.86–0.95)], completion of the second dose [AOR = 0.88 (0.83–0.93)], and completion of the third dose [AOR = 0.85 (0.80–0.92)]. Geographic spatial analysis demonstrated increased odds of vaccination for the eastern region and in the greater Rochester metropolitan area, showing significant spatial variation not explained by individual level characteristics and ACS block group-level data. Conclusions: HPV vaccination rates varied geographically and by individual and geographically indexed sociodemographic characteristics. Impact: Identifying geographic regions with low HPV vaccination rates can help target clinical and community efforts to improve vaccination rates. Cancer Epidemiol Biomarkers Prev; 26(4); 533–40. ©2017 AACR. See all the articles in this CEBP Focus section, “Geospatial Approaches to Cancer Control and Population Sciences.”

AbstractObjectiveDisparities in tobacco use persist despite successful policies reducing use within the United States. In particular, the prevalence of tobacco use in rural and certain minority communities is significantly higher compared to that of their counterparts. In this work, we examine the impact of rurality, mental health, and racial discrimination on tobacco use.MethodsData come from the 2003 California Health Interview Survey (n = 42,044). Modified Poisson regression models were adjusted for age, sex, race/ethnicity, birth origin, education, income, insurance, and marital status.ResultsCompared to urban residents, rural residents had a significantly higher risk for smoking after adjustment (RR = 1.10, 95% CI: 1.01‐1.19). Those who reported having experienced racial discrimination also had a significantly greater risk for smoking compared to those who did not (RR = 1.17, 95% CI: 1.07‐1.27). Additionally, those who reported higher stress had a significantly greater risk for smoking (RR = 1.61, 95% CI: 1.07‐1.67). There was evidence of interaction between rurality and race/ethnicity, and rurality and gender (P < .05).ConclusionResiding in rural areas was associated with an increased risk for smoking, above and beyond sociodemographics. There were no significant differences across rural‐urban environments for the relationship between stress and tobacco use—an indication that the impact of stress and discrimination is not buffered or exacerbated by environmental characteristics potentially found in either location. Mechanisms that explain rural‐urban tobacco use disparities need to be explored, and smoking cessation programs and policies should be tailored to target these factors within rural communities.