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Multiple rural states and communities experience elevated rates of human immunodeficiency virus (HIV), often associated with diminished healthcare access and increased drug use. Though a substantial proportion of rural populations are sexual and gender minorities (SGM), little is known of this group regarding substance use, healthcare utilization, and HIV transmission behaviors. During May–July 2021, we surveyed 398 individuals across 22 rural Illinois counties. Participants included cisgender heterosexual males (CHm) and females (CHf) (n = 110); cisgender non-heterosexual males and females (C-MSM and C-WSW; n = 264); and transgender individuals (TG; n = 24). C-MSM participants were more likely to report daily-to-weekly alcohol and illicit drug use prescription medication misuse (versus CHf; aOR = 5.64 [2.37–13.41], 4.42 [1.56–12.53], and 29.13 [3.80–223.20], respectively), and C-MSM participants more frequently reported traveling to meet with romantic/sex partners. Further, more C-MSM and TG than C-WSW reported healthcare avoidance and denial due to their orientation/identity (p < 0.001 and p = 0.011, respectively); 47.6% of C-MSM and 58.3% of TG had not informed their provider about their orientation/identity; and only 8.6% of C-MSM reported ever receiving a pre-exposure prophylaxis (PrEP) recommendation. More work is needed to explore the substance use and sexual behaviors of rural SGM, as well as their healthcare interactions, to better target health and PrEP engagement campaigns. [ABSTRACT FROM AUTHOR]

Community-based participatory research (CBPR) is an effective way to address cancer disparities in medically underserved populations. Our research demonstrates how CBPR principles were used to develop lung cancer and risk factor mini reports for a network of community coalitions in the Illinois Delta Region, a predominately rural region with high lung cancer disparities in southern Illinois. An academic-community partnership, including a community-based medical school, state public health department, and a healthcare system, used CBPR principles to translate epidemiological, behavioral, and demographic data into understandable, comprehensive, yet concise mini reports for each coalition. A cyclical and iterative process was used to draft, revise, and optimize these mini reports to raise awareness about lung cancer disparities in the community and to provide information to help guide the development of interventions that address these disparities. The use of CBPR principles was a successful way to create mini reports about local lung cancer disparities and risk factors that were usable in individual communities. Local coalitions used the mini reports to educate community members at local meetings, to guide strategic planning, and to disseminate information through their respective websites. Additionally, the process of creating these reports built trust among academic-community partners and provided additional avenues of engagement, such as the involvement of an academic partner in the strategic planning process of a local coalition. Using CBPR processes is an effective way to translate epidemiological data into a community-friendly format to address cancer disparities. [ABSTRACT FROM AUTHOR]

Background Studies have indicated a population-level association between coal mining and cancer incidence and mortality, but few studies specifically examined residential proximity to this exposure using spatial analysis. We utilized a Geographic Information Systems (GIS) approach to perform spatial and statistical analyses to test two coal mining exposure variables and their associations with cancer incidence and mortality in Illinois--the fourth highest coal producing state in the United States. Methods Data included age-adjusted county-level cancer incidence and mortality for five cancers: all malignant, lung, colorectal, breast (female) and prostate. Coal mining exposure was defined by two variables: coal production group and distance-weighted exposure. Spatial analyses were performed to identify spatial clustering. Correlation and stepwise regression analyses were performed to explore the relationship between cancer incidence and mortality and coal mining exposures. Covariates considered in regression analyses included socioeconomic deprivation, former/current smoking prevalence, race, and rurality. Results Global spatial autocorrelation indicated significant spatial clustering of incidence, mortality and aggregated coal production. Distance-weighted exposure was significantly correlated with coal production group, age-adjusted all cancer incidence and age-adjusted all cancer mortality. Regression analyses indicated an association between recent coal production and colorectal cancer incidence ( p =0.009) and mortality ( p =0.035) and prostate cancer mortality ( p =0.047). Distance weighted exposure was associated with lung cancer incidence ( p =0.004) and mortality ( p <0.001), and all cancer mortality ( p <0.001). Conclusion Coal production, incidence and mortality are spatially clustered in Illinois. Exposures to coal mining were associated with elevated risk of multiple cancers, most notably lung and colorectal. The environmental impact of the mining industry is substantial, and exposure of individuals residing near coal mines to known carcinogens is plausible. Future studies are needed to further elucidate the population exposure dynamics of coal mining, and should be explored using individual-level exposures and cancer outcomes. [ABSTRACT FROM AUTHOR]

Purpose The urology work force is contracting at a time when service demand is increasing due to demographic changes, especially in rural areas. We investigated the impact of rural status and urologist density on kidney and renal pelvis, bladder and prostate cancer mortality at the county level in Illinois. Materials and Methods We stratified the 102 Illinois counties by 2003 RUCCs as urban (36, RUCCs 1 to 3) and rural (66, RUCCs 4 to 9). Area Health Resource Files were used for county demographic data and urologist density. County level age adjusted mortality rates from 1990 to 2010 were derived from National Center for Health Statistics data using SEER*Stat. We examined the associations of urological cancer mortality rates with rural status and urologist density. Results Average urologist density significantly differed between rural and urban counties (1.9 vs 3.4/100,000 population, p <0.01). The kidney and renal pelvis cancer mortality rate in rural counties was higher than in urban counties while that of prostate cancer was lower (4.9 vs 4.3 and 28.7 vs 32.2/100,000 population, respectively, each p <0.01). Urologist density correlated with the mortality rate of kidney and renal pelvis cancer (Pearson coefficient –0.33, p <0.01) but not with the bladder or prostate cancer mortality rate. Multiple regression analysis revealed that rurality and lower urologist density (p = 0.01 and <0.05) were significantly associated with higher kidney and renal pelvis cancer mortality. Conclusions Rural residence and low urologist density were associated with increased kidney and renal pelvis cancer mortality on the county level in Illinois. Further expansion and testing of evidence-based telemedicine is warranted because remote technical consultation is now technologically feasible, effective, inexpensive and satisfactory to patients. [ABSTRACT FROM AUTHOR]

Objective: To determine if rural status was associated with kidney and renal pelvis cancer (KCa) incidence and mortality in Illinois while controlling for known KCa risk factors and access to care variables.Materials and Methods: Age-adjusted KCa incidence rates from 1991 to 2010 were calculated from Illinois State Cancer Registry data. Age-adjusted KCa mortality rates were obtained from health statistics embedded within SEER*Stat. Rural Urban Continuum Codes designated Illinois' 102 counties as urban, rural adjacent to, and rural non-adjacent to a metropolitan area. County-level demographics and physician density were obtained from the Area Health Resource File. Behavioral Risk Factor Surveillance System data were used for smoking, obesity, and hypertension prevalence. Analysis of variance, correlation, and regression analyses were used.Results: The incidence of KCa was found to be higher among urban compared to rural counties after controlling for known risk factors (P < .01). A larger proportion of cases were diagnosed at a localized stage in urban counties (<0.01). Mortality rates were significantly higher in rural counties (P = .02). The final regression model found rural status, higher incidence rate, fewer with localized stage at diagnosis, and lower urologist density to be variables significantly associated with higher KCa mortality.Conclusion: KCa incidence was higher in urban counties whereas mortality was higher in rural counties. The higher number of KCa cases diagnosed at a localized stage in urban counties and lower urologist density in rural counties suggest that poorer access to care may contribute to higher KCa mortality in rural Illinois. Telemedicine may be an opportunity to improve this disparity. [ABSTRACT FROM AUTHOR]

Context: Radon is the second leading cause of lung cancer, but exposure can be reduced through testing one's home and mitigating if levels are high., Objective: To determine what factors predict radon testing and to identify, through spatial analysis, areas in Illinois with lower or higher than expected testing rates., Design, Setting, Participants, and Main Outcomes: An ecological study design was used to evaluate data on radon tests performed in Illinois by a licensed professional or a home radon test kit analyzed by a state-approved laboratory between 2005 and 2012. Zip code-level rates of testing per 1000 occupied residences were calculated for all testing methods combined and for licensed professional testing and home kit testing separately. The following zip code-level factors associated with radon testing were considered: Environmental Protection Agency (EPA) radon zones (ie, categorization of areas by predicted radon risk), socioeconomic characteristics, homeowner occupancy, and rurality. Univariate and multivariable incidence rate ratios were calculated to examine what factors were associated with each testing type. Hotspot analysis was performed to identify zip codes with lower than expected and higher than expected testing rates (ie, "coldspots" and "hotspots," respectively)., Results: Radon testing rates varied across EPA zone, socioeconomic characteristics, and level of rurality. In multivariable analysis, EPA zone, education, and median household income positively predicted all testing types combined. Median home value was associated with licensed testing, whereas rurality was negatively associated with licensed testing. Owner occupancy positively predicted home kit testing. Between 19.6% and 31.1% of zip codes were coldspots for radon testing rates, dependent upon testing type. Coldspots of all testing method rates were concentrated in the southern part of the state., Conclusion: Public health professionals can benefit from understanding what area-level factors predict radon testing and what geographic areas may under-utilize testing. Such information can aid the development of geographically targeted, cost-effective interventions that increase radon testing and subsequently reduce lung cancer risk.

Context: Although rural-urban cancer disparities have been explored with some depth, disparities within seemingly homogeneous rural areas have received limited attention. However, exploration of intrarural cancer incidence may have important public health implications for risk assessment, cancer control, and resource allocation., Objective: The objective of this study was to explore intrastate rural cancer risk and incidence differences within Illinois., Design: Illinois's 83 rural counties were categorized into northern, central, and southern regions (IL-N, IL-C, and IL-S, respectively). Chi-square test for independence and analysis of variance calculations were performed to assess regional differences in demographic characteristics, socioeconomic deprivation, smoking history, obesity, cancer-screening adherence, and density of general practitioners. Age-adjusted incidence rates were calculated for 5 cancer categories: all cancers combined, lung, colorectal, breast (female), and prostate cancers. Unadjusted and adjusted incidence rate ratios (IRRs) were calculated to evaluate regional differences in rates for each cancer category., Results: Socioeconomic deprivation varied by region: 4.5%, 6.9%, and 40.6% of IL-N, IL-C, and IL-S counties, respectively (P < .001). Smoking history also significantly differed by region. Mean former/current smoking prevalence in IL-N, IL-C, and IL-S counties was 46.4%, 48.2%, and 51.4%, respectively (P = .006). In unadjusted analysis, IL-C (IRR = 1.12; 95% confidence interval [CI], 1.02-1.23) and IL-S (IRR = 1.24; 95% CI, 1.13-1.35) had increased lung cancer incidence compared with IL-N. Elevated risk remained in IL-S after adjusting for relevant factors such as smoking and socioeconomic deprivation (IRR = 1.14; 95% CI, 1.04-1.26)., Conclusions: Socioeconomic deprivation, health behaviors, and lung cancer incidence varied across rural regions. Our findings underscore the importance of identifying cancer risk heterogeneity, even within a state, to effectively target risk factor reduction and cancer control interventions.