Cancer screening utilization by residence and sexual orientation.

Abstract

Although few studies have examined screening uptake among sexual minorities (lesbian, gay, bisexual, queer), almost none have examined it in the specific context of rural populations. Therefore, our objective was to assess how cancer screening utilization varies by residence and sexual orientation. Publicly available population-level data from the 2014 and 2016 Behavioral Risk Factor Surveillance System were utilized. Study outcomes included recommended recent receipt of breast, cervical, and colorectal cancer screening. Independent variables of interest were residence (rural/urban) and sexual orientation (heterosexual/gay or lesbian/bisexual). Weighted proportions and multivariable logistic regressions were used to assess the association between the independent variables and the outcomes, adjusting for demographic, socioeconomic, and healthcare utilization factors. Rates for all three cancer screenings were lowest in rural areas and among sexual minority populations (cervical: rural lesbians at 64.8% vs. urban heterosexual at 84.6%; breast: rural lesbians at 66.8% vs. urban heterosexual at 80.0%; colorectal for males: rural bisexuals at 52.4% vs. urban bisexuals at 81.3%; and colorectal for females: rural heterosexuals at 67.2% vs. rural lesbians at 74.4%). In the multivariate analyses for colorectal screening, compared to urban heterosexual males, both rural gay and rural heterosexual males were less likely to receive screening (aOR = 0.45; 95% = 0.24-0.73 and aOR = 0.79; 95% = 0.72-0.87, respectively) as were rural heterosexual females (aOR = 0.87; 95% = 0.80-0.94) compared to urban heterosexual females. For cervical screening, lesbians were less likely to receive screening (aOR = 0.62; 95% = 0.41-0.94) than heterosexuals, and there were no differences for breast screening. We found that rural sexual minorities may experience disparities in cancer screening utilization associated with the compounding barriers of rural residence and sexual minority status, after adjusting for demographic, socioeconomic, and healthcare utilization factors. Further work is needed to identify factors influencing these disparities and how they might be addressed.