Breast cancer mortality in Appalachia: reversing patterns of disparity over time

Breast cancer death rates in the U.S. have decreased in recent decades, however areas such as Appalachia with fewer cancer care resources may not have experienced comparable mortality declines. This study examines trends in breast cancer mortality rate disparities in Appalachian states and the continental U.S. using data from SEER mortality files 1969-2007 and the Area Resource File. Overall breast cancer mortality rates decreased significantly, with a smaller decline in Appalachian counties (17.5%) compared with non-Appalachian counties in Appalachian states (30.5%), and compared with non-Appalachia U.S. counties (28.3%). After accounting for poverty, rural/urban status, education, health care resources, and proportion White in the population, residence in Appalachian counties except for those in the Northern subregion was significantly associated with smaller reduction in breast cancer mortality rates. Lower levels of education, physician density, and percent White in the population were also associated with smaller reductions in breast cancer mortality.     

Appalachian versus non-Appalachian U.S. traffic fatalities, 2008–2010

PurposeAlthough myriad health disparities exist in Appalachia, limited research has examined traffic fatalities in the region. This study compared traffic fatality rates in Appalachia and the non-Appalachian United States.MethodsFatality Analysis Reporting System and Census data from 2008 through 2010 were used to calculate traffic fatality rates. Poisson models were used to estimate unadjusted (rate ratio [RR]) and adjusted rate ratios, controlling for age, gender, and county-specific population density levels.ResultsThe Appalachian traffic fatality rate was 45% (95% confidence interval [CI], 1.42–1.47) higher than the non-Appalachian rate. Although only 29% of fatalities occur in rural counties in non-Appalachia versus 48% in Appalachia, rates in rural counties were similar (RR, 0.97; 95% CI, 0.95–1.00). However, the rate for urban, Appalachian counties was 42% (95% CI, 1.38–1.45) higher than among urban, non-Appalachian counties. Appalachian rates were higher for passenger vehicle drivers, motorcyclists, and all terrain vehicle riders, regardless of rurality, as well as for passenger vehicle passengers overall and for urban counties. Conversely, Appalachia experienced lower rates among pedestrians and bicyclists, regardless of rurality.ConclusionsDisparities in traffic fatality rates exist in Appalachia. Although elevated rates are partially explained by the proportion of residents living in rural settings, overall rates in urban Appalachia were consistently higher than in urban non-Appalachia.     

Mental health professional shortage areas in rural Appalachia

CONTEXT: Research on health disparities in Appalachia has rarely compared Appalachia to other geographic areas in such a way as to isolate possible Appalachian effects. PURPOSE: This study tests hypotheses that nonmetropolitan Appalachia will have higher levels of mental health professional shortage areas than other nonmetropolitan areas of the same states, but that these disparities will dissipate when accounting for social and economic differences. METHODS: The study analyzed secondary data for nonmetropolitan counties (N = 618) in the 13 Appalachian states. Appalachian counties were identified from the Appalachian Regional Commission designations. Mental health professional shortages were identified from Health Resources and Services Administration data. Area Resource File data were used to measure county-level income, education, uninsurance, unemployment, race/ethnicity percentages, and urban influence codes. Logistic regression models tested whether Appalachia was significantly associated with shortage areas, and whether the Appalachian effect persisted after accounting for social and economic covariates. FINDINGS: Seventy percent of Appalachian nonmetropolitan counties were mental health professional shortage areas, significantly higher than non-Appalachian, nonmetropolitan counties in the same states. The Appalachian effect did not persist after controlling for the full set of other variables; education and race/ethnicity emerged as significant predictors. CONCLUSIONS: Appalachia location is associated with mental health professional shortages, but this effect is driven by underlying social differences, in particular by lower education. This method of identifying Appalachia for comparative purposes may be applied to many other health services research questions and to other defined geographic regions.     

Peer Reviewed: Residence in a Distressed County in Appalachia as a Risk Factor for Diabetes,Behavioral Risk Factor Surveillance System, 2006-2007

Introduction

We compared the risk of diabetes for residents of Appalachian counties to that of residents of non-Appalachian counties after controlling for selected risk factors in states containing at least 1 Appalachian county.

Methods

We combined Behavioral Risk Factor Surveillance System data from 2006 and 2007 and conducted a logistic regression analysis, with self-reported diabetes as the dependent variable. We considered county of residence (5 classifications for Appalachian counties, based on economic development, and 1 for non-Appalachian counties), age, sex, race/ethnicity, education, household income, smoking status, physical activity level, and obesity to be independent variables. The classification "distressed" refers to counties in the worst 10%, compared with the nation as a whole, in terms of 3-year unemployment rate, per capita income, and poverty.

Results

Controlling for covariates, residents in distressed Appalachian counties had 33% higher odds (95% confidence interval, 1.10-1.60) of reporting diabetes than residents of non-Appalachian counties. We found no significant differences between other classifications of Appalachian counties and non-Appalachian counties.

Conclusions

Residents of distressed Appalachian counties are at higher risk of diabetes than are residents of other counties. States with distressed Appalachian counties should implement culturally sensitive programs to prevent diabetes.     

White infant mortality in Appalachian states, 1976-1980 and 1996-2000: changing patterns and persistent disparities

Purpose: Appalachian counties have historically had elevated infant mortality rates. Changes in infant mortality disparities over time in Appalachia are not well‐understood. This study explores spatial inequalities in white infant mortality rates over time in the 13 Appalachian states, comparing counties in Appalachia with non‐Appalachian counties. Methods: Data are analyzed for 1,100 counties in 13 Appalachian states that include 420 counties designated as Appalachian by the Appalachian Regional Commission. Area Resource File data for 1976‐1980 and 1996‐2000 provide county‐ and city‐level infant mortality rates, poverty rates, rural‐urban continuum codes, and numbers of physicians per 1,000 residents. Multiple regression analyses evaluate whether Appalachian counties are significantly associated with elevated white infant mortality in each time period, accounting for covariates. Findings: White infant mortality rates decreased substantially in all sub‐regions over the last 2 decades; however, disparities in infant mortality did not diminish in Appalachian counties compared to non‐Appalachian counties. After accounting for poverty, rural/urban status, and health care resources, Appalachian counties were significantly associated with comparatively higher infant mortality during the late 1970s but not in the late 1990s. At the more recent time point, higher poverty rates, residence in more rural areas, and lower physician density were associated with greater infant mortality risk. Conclusion: Appalachian counties continue to experience relatively elevated infant mortality rates. Poverty and rurality remain important dimensions of health service need in Appalachia.     

Mortality from heart,respiratory, and kidney disease in coal mining areas of Appalachia

Purpose  The purpose of this study was to test whether population mortality rates from heart, respiratory and kidney disease were higher as a function of levels of Appalachian coal mining after control for other disease risk factors. Methods  The study investigated county-level, age-adjusted mortality rates for the years 2000–2004 for heart, respiratory and kidney disease in relation to tons of coal mined. Four groups of counties were compared: Appalachian counties with more than 4 million tons of coal mined from 2000 to 2004; Appalachian counties with mining at less than 4 million tons, non-Appalachian counties with coal mining, and other non-coal mining counties across the nation. Forms of chronic illness were contrasted with acute illness. Poisson regression models were analyzed separately for male and female mortality rates. Covariates included percent male population, college and high school education rates, poverty rates, race/ethnicity rates, primary care physician supply, rural-urban status, smoking rates and a Southern regional variable. Results  For both males and females, mortality rates in Appalachian counties with the highest level of coal mining were significantly higher relative to non-mining areas for chronic heart, respiratory and kidney disease, but were not higher for acute forms of illness. Higher rates of acute heart and respiratory mortality were found for non-Appalachian coal mining counties. Conclusions  Higher chronic heart, respiratory and kidney disease mortality in coal mining areas may partially reflect environmental exposure to particulate matter or toxic agents present in coal and released in its mining and processing. Differences between Appalachian and non-Appalachian areas may reflect different mining practices, population demographics, or mortality coding variability.     

Cancer mortality in U.S. counties with hazardous waste sites and ground water pollution

Since the late 1950s, more than 750 million tons of toxic chemical wastes have been discarded in an estimated 30,000 to 50,000 hazardous waste sites (HWSs). Uncontrolled discarding of chemical wastes creates the potential for risks to human health. Utilizing the National Priorities Listing (NPL) of hazardous waste sites developed by the United States Environmental Protection Agency (EPA), this study identified 593 waste sites in 339 U.S. counties in 49 states with analytical evidence of contaminated ground drinking water providing a sole source water supply. For each identified county, age-adjusted, site-specific cancer mortality rates for 13 major sites for the decade 1970-1979, for white males and females, were extracted from U.S. Cancer Mortality and Trends 1950-1979. Also, HWS and non-HWS counties that showed excess numbers of deaths were enumerated for each cancer selected. Significant associations (p less than .002) between excess deaths and all HWS counties were shown for cancers of the lung, bladder, esophagus, stomach, large intestine, and rectum for white males; and for cancers of the lung, breast, bladder, stomach, large intestine, and rectum for white females when compared to all non-HWS counties. There were no consistent geographical patterns that suggested a broad distribution of gastrointestinal cancers associated with HWSs throughout the United States, although we did identify a cluster of excess gastrointestinal cancers in counties within states located in EPA Region 3 (Delaware, Maryland, Pennsylvania, Virginia, West Virginia).(ABSTRACT TRUNCATED AT 250 WORDS)     

Identifying Sociocultural Barriers to Mammography Adherence Among Appalachian Kentucky Women

Despite lower breast cancer incidence rates, Appalachian women evidence lower frequency of screening mammography and higher mortality risk for breast cancer compared to non-Appalachian women in Kentucky, and in the United States, overall. Utilizing data from 27 in-depth interviews from women in seven Appalachian Kentucky counties, this study examines how Appalachian women explain sociocultural barriers and facilitators to timely screening mammography, and explores their common narratives about their mammography experiences. The women describe how pain and embarrassment, less personal and less professional mammography experiences, cancer fears, and poor provider communication pose barriers to timely and appropriate mammography schedule adherence and follow-up care. The study also identifies how improving communication strategies in the mammography encounter may improve mammography experiences and adherence to screening guidelines.     

Cancer Incidence in Kentucky, Pennsylvania, and West Virginia: Disparities in Appalachia

CONTEXT: Composed of all or a portion of 13 states, Appalachia is a heterogeneous, economically disadvantaged region of the eastern United States. While mortality from cancer in Appalachia has previously been reported to be elevated, rates of cancer incidence in Appalachia remain unreported. PURPOSE: To estimate Appalachian cancer incidence by stage and site and to determine if incidence was greater than that in the United States. METHODS: Using 1994--1998 data from the central registries of Kentucky, Pennsylvania, and West Virginia, age-adjusted incidence rates were calculated for the rural and nonrural regions of Appalachia. These state rates were compared to rates from the Surveillance, Epidemiology, and End Results (SEER) program for the same years by calculating the adjusted rate ratio (RR) and a 95% confidence interval (CI). FINDINGS: Both the entire and rural Appalachian regions had an adjusted incidence rate for all cancer sites similar to the SEER rate (RR = 1.00 [95% CI, 1.00-1.01] and RR = 0.99 [95% CI, 0.99-1.00], respectively). However, incidence of cancer of the lung/ bronchus, colon, rectum, and cervix in Appalachia was significantly elevated (RR = 1.22 [95% CI, 1.20-1.23], 1.13 [95% CI, 1.11-1.14], 1.19 [95% CI, 1.16-1.22], and 1.12 [95% CI, 1.07-1.17], respectively). Incidence of cancer of the lung/bronchus and cervix in rural Appalachia was even more elevated (RR = 1.34 [95% CI, 1.31-1.36] and 1.29 [95% CI, 1.21-1.38], respectively). Incidence of unstaged disease for all cancer sites in Appalachia (RR = 1.06 [95% CI, 1.05-1.08]), particularly rural Appalachia (RR = 1.28 [95%CI, 1.25-1.301), was elevated. CONCLUSIONS: Cancer incidence in Appalachia was not found to be elevated. However, incidence of cancer of the lung/bronchus, colon, rectum, and cervix was elevated in Appalachia. The rates of unstaged cancer of every examined site were elevated in rural Appalachia, suggesting a lack of access to cancer health care.     

Income Inequality and Mortality in US Counties: Does Minority Racial Concentration Matter?

This study examined (1) the relationship between income inequality and mortality among all counties in the contiguous United States to ascertain whether the relationships found for states and metropolitan areas extend to smaller geographic units and (2) the influence of minority racial concentration on the inequality-mortality linkage. METHODS: This county-level ecologic analysis used data from the Compressed Mortality Files and the US Census. Weighted least squares regression models of age-, sex-, and race-adjusted county mortality rates were estimated to examine the additive and interactive effects of income inequality and minority racial concentration. RESULTS: Higher income inequality at the county level was significantly associated with higher total mortality. Higher minority racial concentration also was significantly related to higher mortality and interacted with income inequality. CONCLUSIONS: The relationship between income inequality and mortality is robust for counties in the United States. Minority concentration interacts with income inequality, resulting in higher mortality in counties with low inequality and a high percentage of Blacks than in counties with high inequality and a high percentage of Blacks.     

Health Disparities Between Appalachian and Non-Appalachian Counties in Virginia USA

The examination of health disparities among people within Appalachian counties compared to people living in other counties is needed to find ways to strategically target improvements in community health in the United States of America (USA). Methods: A telephone survey of a random sample of adults living in households within communities of all counties of the state of Virginia (VA) in the USA was conducted. Findings: Health status was poorer among those in communities within Appalachian counties in VA and health insurance did not make a difference. Health perception was significantly worse in residents within communities in Appalachian counties compared to non-Appalachian community residents (30.5 vs. 17.4% rated their health status as poor/fair), and was worse even among those with no chronic diseases. Within communities in Appalachian counties, black residents report significantly better health perception than do white residents. Conclusion: Residents living in communities in Appalachian counties in VA are not receiving adequate health care, even among those with health insurance. More research with a larger ethnic minority sample is needed to investigate the racial/ethnic disparities in self-reported health and health care utilization within communities.     

Comparative analysis of invasive cervical cancer incidence rates in three Appalachian states

BACKGROUND: Invasive cervical cancer (ICC) rates remain elevated in the Appalachian region of the United States. We investigated patterns of invasive cervical cancer incidence rates in three Appalachian states (Kentucky, West Virginia, Pennsylvania) to uncover specific high-risk subgroups within this large and heterogeneous region. METHODS: The analysis was conducted for the three states combined and individually. Invasive cervical cancer rates were characterized by individual and county-level sociodemographic variables, including age, race, poverty, education, Appalachian status, and rural/urban status. Bivariate analyses and multivariable Poisson regression models were conducted to address the relative contributions of each variable to the risk of invasive cervical cancer. RESULTS: The three states differed in the contribution of each factor to the risk of invasive cervical cancer. The overall invasive cervical cancer incidence rates for Kentucky, West Virginia, and Pennsylvania were 13.4, 13.9, and 10.2 per 100,000/yr, respectively. After controlling for other demographic variables, the effect of Appalachian status on invasive cervical cancer was weaker, while rural status, education, and race were stronger, significant predictors. CONCLUSIONS: This study illustrates the heterogeneity of population demographics and invasive cervical cancer risk, and the need to identify subregions and subgroups within Appalachia at highest risk for this disease.     

Respiratory organs cancer mortality in New Jersey counties and the relationship with selected demographic and environmental variables

The state of New Jersey (N.J.) has been thought to have an unusually high overall cancer mortality rate; this assumption has been based on national 1950–1969 mortality data for N.J. counties. This study presents an analysis of more recent rates of respiratory cancer mortality in 21 N.J. counties during 1968–1977, a comparison with the 1950–1969 rates, and associations between current respiratory cancer mortality rates and selected demographic and environmental variables. Age-adjusted mortality rates for cancer of respiratory organs were calculated for the N.J. counties during the period 1968–1977 and compared with the period 1950–1969, with the Surveillance, Epidemiology, and End Results (SEER) survey, and with cancer mortality in the United States, 1973–1977. The county rates were also correlated with chemical toxic-waste disposal sites (CTWDS), annual per capita income, percentage of the population employed in chemical industries, the density of population, and the urbanization index of each of 21 N.J. counties. The lung, bronchus, trachea, and pleura cancer mortality rates among white and nonwhite males and females in N.J. were substantially higher than the national rates during the period 1950–1969. In more recent years, the increases in U.S. mortality rates for lung, bronchus, trachea, and pleura cancers were significantly greater (P < 0.01) than those found in most of the 21 N.J. counties. As a consequence, the national rates are now more comparable to N.J. rates. Although the gaps between N.J. and the United States in these rates have narrowed, the observed number of laryngeal and lung cancer deaths remained significantly higher (P < 0.01 to P < 0.0001) than expected cancer deaths, based on U.S. rates, among one or more subgroup populations (white and nonwhite males and females) in several N.J. counties. Among white men in Middlesex, Camden, Burlington, and Ocean counties, the observed number of deaths for lung cancer was found to be significantly (P < 0.0001) greater than the expected number of deaths. In Hudson county observed deaths from both laryngeal and lung cancer among white men were significantly greater than the expected number of deaths from these cancers (P < 0.0001). Statistically significant and positive correlations were found between laryngeal cancer mortality and CTWDS, urbanization index, and population density. Lung cancer mortality also correlated significantly with CTWDS in N.J. Both larynx and lung cancer mortality showed significant and consistent negative correlations with annual per capita-income in N.J. Some of the implications of the study findings are discussed and recommendations made for future investigations.     

Trends in cancer mortality rates,Bergen County,New Jersey, 1962-75.

Publication of the "Atlas of Cancer Mortality for U.S. Counties, 1950-1969" caused a great deal of concern in counties shown in the Atlas to have had high cancer mortality rates in relation to the United States as a whole. An analysis was made of temporal trends of cancer mortality in Bergen County, a "high-rate county" in northeastern New Jersey, by calculating age-adjusted cancer mortality rates by sex and site for Bergen County residents for the period 1962-75. Mortality rates and time rates of change in mortality rates were compared to those in the United States as a whole. Male and female rates for respiratory cancer and male rates for all sites combined increased significantly more quickly in the United States than in Bergen County during the study period. The authors discuss these trends and recommended that recent time-specific mortality rates be furnished to county health commissions on a regular basis.     

Cancer Risk Assessment by Rural and Appalachian Family Medicine Physicians

ABSTRACT:  Context: Challenges to the identification of hereditary cancer in primary care may be more pronounced in rural Appalachia, a medically underserved region. Purpose: To examine primary care physicians' identification of hereditary cancers. Methods: A cross-sectional survey was mailed to family physicians in the midwestern and southeastern United States, stratified by rural/non-rural and Appalachian/non-Appalachian practice location (n = 176). Identification of hereditary breast-ovarian cancer (BRCA1/2), hereditary non-polyposis colon cancer (HNPCC), and other hereditary cancers was assessed. Findings: Less than half of physicians (45%) reported having patients with cancer genetic testing. Most (70%) correctly identified the BRCA1/2-relevant scenario; 49% correctly identified the HNPCC-relevant scenario. Factor analysis of psychosocial variables revealed 2 factors: Confidence (knowledge, comfort, confidence) and importance (responsible, important, effective, need) of identifying hereditary cancer. Greater confidence was associated with use of 3 generation pedigree in taking family history. Greater knowledge and access to genetic services were associated with use of genetic testing. More recent graduation year, greater knowledge, and greater confidence were associated with identifying the BRCA1/2-relevant scenario. Greater knowledge and confidence were associated with identifying the HNPCC-relevant scenario. Conclusions: Though rural Appalachian physicians do not differ in ability to identify high risk individuals, access barriers may exist for genetic testing. Interventions are needed to boost physician confidence in identifying hereditary cancer and to improve availability and awareness of availability of genetic services.     

Preconception Health Indicators: A Comparison Between Non-Appalachian and Appalachian Women

To compare preconception health indicators (PCHIs) among non-pregnant women aged 18–44 years residing in Appalachian and non-Appalachian counties in 13 U.S. states. Data from the 1997–2005 Behavioral Risk Factor Surveillance System were used to estimate the prevalence of PCHIs among women in states with ≥1 Appalachian county. Counties were classified as Appalachian (n = 36,496 women) or non-Appalachian (n = 88,312 women) and Appalachian counties were categorized according to economic status. Bivariate and multivariable logistic regression models examined differences in PCHIs among women by (1) Appalachian residence, and (2) economic classification. Appalachian women were younger, lower income, and more often white and married compared to women in non-Appalachia. Appalachian women had significantly higher odds of reporting <high school education (adjusted odds ratio (AOR) 1.19, 95 % confidence interval (CI) 1.10–1.29), fair/poor health (AOR 1.14, 95 % CI 1.06–1.22), no health insurance (AOR 1.12, 95 % CI 1.05–1.19), no annual checkup (AOR 1.12, 95 % CI 1.04–1.20), no recent Pap test (AOR 1.20, 95 % CI 1.08–1.33), smoking (AOR 1.08, 95 % CI 1.03–1.14), <5 daily fruits/vegetables (AOR 1.11, 95 % CI 1.02–1.21), and overweight/obesity (AOR 1.05, 95 % CI 1.01–1.09). Appalachian women in counties with weaker economies had significantly higher odds of reporting less education, no health insurance, <5 daily fruits/vegetables, overweight/obesity, and poor mental health compared to Appalachian women in counties with the strongest economies. For many PCHIs, Appalachian women did not fare as well as non-Appalachians. Interventions sensitive to Appalachian culture to improve preconception health may be warranted for this population.     

Clusters of cancer mortality in New Jersey municipalities; with special reference to chemical toxic waste disposal sites and per capita income

The state of New Jersey (NJ), USA, has been thought to have an unusually high cancer mortality rate; this assumption has been based on 1950-1969 mortality data for NJ counties. This study presents an analysis of mortality from major cancers for NJ municipalities during 1968-1977, and correlates cancer mortality rates with several potentially relevant variables. Age-adjusted mortality rates for 13 major cancer sites for 194 municipalities of 10 000 or more people in 21 NJ counties were compared with cancer mortality in the US. Municipality rates were correlated with: distribution of chemical toxic waste disposal sites (CTWDS); annual per capita income; the rates of low birth weight, birth defects and infant mortality of NJ municipalities. Clusters of cancer mortality were observed in 23 municipalities in 10 counties in which a total of 98 age-adjusted cancer death rates were at least 50% above the national rate, and each of these municipalities had at least two race-sex-specific cancers in which the observed number of cancer deaths was greater than the expected number of deaths at the p less than 0.0005 level. Of these 98 excessive cancer death rates, 72% involved the gastrointestinal tract. Most of the municipalities are located in the highly industrialized densely populated northeastern part of the State. Correlation analyses showed a consistent and significant (p less than 0.05) negative correlation between income and cancer mortality in 11 of 12 cancers studied. These analyses also showed a significant positive association between 8 of 12 cancers studied and CTWDS in one or more subgroup populations and lesser associations with birth defects, low birth weight and infant mortality.     

Prevalence and domains of disability within and outside Appalachian North Carolina: 2013–2016 Behavioral Risk Factor Surveillance System

BackgroundThe health and social conditions of the Appalachian region generally are poorer than in the US overall, and this gap is widening, suggesting disability may be higher in Appalachia.ObjectiveTo describe the prevalence of disability overall and by domain in Appalachian and non-Appalachian regions in North Carolina (NC) and describe the characteristics of people with and without disability in each region.MethodsWe conducted a cross-sectional study using data from the NC Behavioral Risk Factor Surveillance System from 2013 to 2016 which assessed disability in five domains: vision, cognitive, mobility, self-care, and independent living. We calculated weighted proportions and age- and sex-adjusted prevalence using direct standardization to the 2010 Census.ResultsThe prevalence of disability in Appalachian NC was significantly higher than in non-Appalachian NC after standardizing by age and sex (26.6% in Appalachia, 24.1% outside Appalachia, p < 0.001). In both regions, mobility disability was most common and self-care disability was least common. People within Appalachia more frequently reported disability in all domains compared to people outside Appalachia.ConclusionsMore than one in four adults in Appalachian North Carolina experience disability in at least one domain and one in eight experiences disability in multiple domains. The high prevalence of disability should be considered when planning programs and services across the spectrum of public health. Understanding common disability domains present in populations can inform public health agencies and service providers and help them develop programs and messaging that meet the needs of residents in Appalachia and are accessible to people with disabilities.     

Self-Reported Cancer Rates in Two Rural Areas of West Virginia with and Without Mountaintop Coal Mining

Mountaintop coal mining in the Appalachian region in the United States causes significant environmental damage to air and water. Serious health disparities exist for people who live in coal mining portions of Appalachia, but little previous research has examined disparities specifically in mountaintop mining communities. A community-based participatory research study was designed and implemented to collect information on cancer rates in a rural mountaintop mining area compared to a rural non-mining area of West Virginia. A door–door health interview collected data from 773 adults. Self-reported cancer rates were significantly higher in the mining versus the non-mining area after control for respondent age, sex, smoking, occupational history, and family cancer history (odds ratio = 2.03, 95% confidence interval = 1.32–3.13). Mountaintop mining is linked to increased community cancer risk. Efforts to reduce cancer and other health disparities in Appalachia must focus on mountaintop mining portions of the region.