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Identifying county-level factors for female breast cancer incidence rate through a large-scale population study.

ABSTRACT: Female breast cancer (FBC) incidence rate (IR) varies greatly across counties in the United States (U.S.). Factors contributing to these geographic disparities have not been fully understood at the population level. In this study, we investigated the relationships between the county-level FBC IR and a diverse set of variables in demographics, socioeconomics, life style, health care accessibility, and environment. Our study included 1,277 counties in the U.S. where the female population was 10,000 or above for at least one race/ethnicity. After controlling for the racial/ethnic and other significant factors, percent of husband-wife family households (pHWFH) for a racial/ethnic group in a county is negatively associated with FBC IR (p < 0.001). A 10% increase in married family households may lower a county's IR by 5.2 cases per 100,000 females per year. We also found that PM_2.5 (fine inhalable particles with a diameter of 2.5 micrometers or less) is positively associated with FBC IR (p < 0.001). Counties with the highest level of PM_2.5 have approximately 4 additional FBC new cases per 100,000 females per year than counties with the lowest level of PM_2.5. Furthermore, we found that the county-level factors contributing to FBC IR vary significantly for different racial groups using race-specific models. While confirming most of the previously known patient- and neighborhood-level risk factors (such as race/ethnicity, income, and health care accessibility), our study identified two significant county-level factors contributing to the spatial disparity of FBC IR across the U.S. The newly-identified beneficial factor (marriage) and risk factor (PM_2.5), together with the verified known factors, may help provide insights to officials of health departments/organizations for them to make decisions on cancer intervention strategies.

SUBMITTER: Zhao T

PROVIDER: S-EPMC7543978 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundIndividual environmental exposures are associated with cancer development; however, environmental exposures occur simultaneously. The Environmental Quality Index (EQI) is a county-level measure of cumulative environmental exposures that occur in 5 domains.MethodsThe EQI was linked to county-level annual age-adjusted cancer incidence rates from the Surveillance, Epidemiology, and End Results (SEER) Program state cancer profiles. All-site cancer and the top 3 site-specific cancers for male and female subjects were considered. Incident rate differences (IRDs; annual rate difference per 100,000 persons) and 95% confidence intervals (CIs) were estimated using fixed-slope, random intercept multilevel linear regression models. Associations were assessed with domain-specific indices and analyses were stratified by rural/urban status.ResultsComparing the highest quintile/poorest environmental quality with the lowest quintile/best environmental quality for overall EQI, all-site county-level cancer incidence rate was positively associated with poor environmental quality overall (IRD, 38.55; 95% CI, 29.57-47.53) and for male (IRD, 32.60; 95% CI, 16.28-48.91) and female (IRD, 30.34; 95% CI, 20.47-40.21) subjects, indicating a potential increase in cancer incidence with decreasing environmental quality. Rural/urban stratified models demonstrated positive associations comparing the highest with the lowest quintiles for all strata, except the thinly populated/rural stratum and in the metropolitan/urbanized stratum. Prostate and breast cancer demonstrated the strongest positive associations with poor environmental quality.ConclusionWe observed strong positive associations between the EQI and all-site cancer incidence rates, and associations differed by rural/urban status and environmental domain. Research focusing on single environmental exposures in cancer development may not address the broader environmental context in which cancers develop, and future research should address cumulative environmental exposures. Cancer 2017;123:2901-8. © 2017 American Cancer Society.

Project description:BackgroundFemale breast cancer (FBC) has become the most prevalent malignancy worldwide. We aimed to evaluate the global and regional burden in epidemiological trends and factors associated with the incidence and mortality of FBC.MethodsFBC incidence and mortality in 60 selected countries by cancer registry data integrity in 2020 were estimated from the GLOBOCAN database, and their association with the human development index (HDI) was further evaluated. Trends of age-standardized rates of incidence and mortality in 60 countries from 2000 through 2019 were evaluated by joinpoint regression analysis using data of Global Burden of Disease 2019. The association between potential behavioral, metabolic, and socioeconomic risk factor exposure at the nation level retrieved from the World Bank and Global Health Observatory and the incidence and mortality of FBC were evaluated by multivariate linear regression.ResultsFBC incidence and mortality varied greatly in the 60 included countries. Higher incidence and mortality rates were typically observed in countries with higher HDIs and vice versa. During 2000 to 2019, significantly increasing trends in incidence and mortality were observed in 26 (average annual percent changes [AAPCs], 0.35-2.96) and nine countries (AAPC, 0.30-1.65), respectively, while significantly decreasing trends in both incidence and mortality were observed in 22 countries, most of which were high-HDI countries. Among the population aged ≥40 years, there were 26 and 11 countries showing significantly increased trends in incidence and mortality, respectively. Ecological analysis showed that countries with higher prevalence rates of high cholesterol and higher health expenditures were more likely to have higher FBC incidence, and countries with higher rates of obesity and poorer universal health coverage were more likely to have higher FBC mortality.ConclusionsDespite decreased or stabilized FBC incidence and mortality rates were observed in some countries with high HDI over the past decades, disease burden became even severer in developing countries, especially for the population aged ≥40 years. Effective targeted preventive programs are strongly encouraged to reduce the FBC disease burden worldwide.

Project description:Background Persistent racial/ethnic disparities in cardiovascular disease (CVD) mortality are partially explained by healthcare access and socioeconomic, demographic, and behavioral factors. Little is known about the association between race/ethnicity-specific CVD mortality and county-level factors. Methods and Results Using 2017 county-level data, we studied the association between race/ethnicity-specific CVD age-adjusted mortality rate (AAMR) and county-level factors (demographics, census region, socioeconomics, CVD risk factors, and healthcare access). Univariate and multivariable linear regressions were used to estimate the association between these factors; R2 values were used to assess the factors that accounted for the greatest variation in CVD AAMR by race/ethnicity (non-Hispanic White, non-Hispanic Black, and Hispanic/Latinx individuals). There were 659 740 CVD deaths among non-Hispanic White individuals in 2698 counties; 100 475 deaths among non-Hispanic Black individuals in 717 counties; and 49 493 deaths among Hispanic/Latinx individuals across 267 counties. Non-Hispanic Black individuals had the highest mean CVD AAMR (320.04 deaths per 100 000 individuals), whereas Hispanic/Latinx individuals had the lowest (168.42 deaths per 100 000 individuals). The highest CVD AAMRs across all racial/ethnic groups were observed in the South. In unadjusted analyses, the greatest variation (R2) in CVD AAMR was explained by physical inactivity for non-Hispanic White individuals (32.3%), median household income for non-Hispanic Black individuals (24.7%), and population size for Hispanic/Latinx individuals (28.4%). In multivariable regressions using county-level factor categories, the greatest variation in CVD AAMR was explained by CVD risk factors for non-Hispanic White individuals (35.3%), socioeconomic factors for non-Hispanic Black (25.8%), and demographic factors for Hispanic/Latinx individuals (34.9%). Conclusions The associations between race/ethnicity-specific age-adjusted CVD mortality and county-level factors differ significantly. Interventions to reduce disparities may benefit from being designed accordingly.

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Identifying county-level factors for female breast cancer incidence rate through a large-scale population study.

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