Reducing Alcohol Use to Prevent Cancer Deaths: Estimated Effects Among U.S. Adults.

INTRODUCTION: The Dietary Guidelines for Americans, 2020-2025 recommends non-drinking or no more than 2 drinks for men or 1 drink for women in a day. However, even at lower levels, alcohol use increases the risk for certain cancers. This study estimated mean annual alcohol-attributable cancer deaths and the number of cancer deaths that could potentially be prevented if all U.S. adults who drank in excess of the Dietary Guidelines had instead consumed alcohol to correspond with typical consumption of those who drink within the recommended limits. METHODS: Among U.S. residents aged ≥20 years, mean annual alcohol-attributable cancer deaths during 2020-2021 that could have been prevented with hypothetical reductions in alcohol use were estimated. Mean daily alcohol consumption prevalence estimates from the 2020-2021 Behavioral Risk Factor Surveillance System, adjusted to per capita alcohol sales to address underreporting of drinking, were applied to relative risks to calculate population-attributable fractions for cancers that can occur from drinking alcohol. Analyses were conducted during February-April 2023. RESULTS: In the U.S., an estimated 20,216 cancer deaths were alcohol-attributable/year during 2020-2021 (men: 14,562 [72.0%]; women: 5,654 [28.0%]). Approximately 16,800 deaths (83% of alcohol-attributable cancer deaths, 2.8% of all cancer deaths) could have been prevented/year if adults who drank alcohol in excess of the Dietary Guidelines had instead reduced their consumption to ≤2 drinks/day for men or ≤1 drink/day for women. Approximately 650 additional deaths could have been prevented annually if men consumed 1 drink/day, instead of 2. CONCLUSIONS: Implementing evidence-based alcohol policies (e.g., increasing alcohol taxes, regulating alcohol outlet density) to decrease drinking could reduce alcohol-attributable cancers, complementing clinical interventions.

Who Gets Sick From COVID-19? Sociodemographic Correlates of Severe Adult Health Outcomes During Alpha- and Delta-Variant Predominant Periods: September 2020-November 2021.

BACKGROUND: Because COVID-19 case data do not capture most SARS-CoV-2 infections, the actual risk of severe disease and death per infection is unknown. Integrating sociodemographic data into analysis can show consequential health disparities. METHODS: Data were merged from September 2020 to November 2021 from 6 national surveillance systems in matched geographic areas and analyzed to estimate numbers of COVID-19-associated cases, emergency department visits, and deaths per 100 000 infections. Relative risks of outcomes per infection were compared by sociodemographic factors in a data set including 1490 counties from 50 states and the District of Columbia, covering 71% of the US population. RESULTS: Per infection with SARS-CoV-2, COVID-19-related morbidity and mortality were higher among non-Hispanic American Indian and Alaska Native persons, non-Hispanic Black persons, and Hispanic or Latino persons vs non-Hispanic White persons; males vs females; older people vs younger; residents in more socially vulnerable counties vs less; those in large central metro areas vs rural; and people in the South vs the Northeast. DISCUSSION: Meaningful disparities in COVID-19 morbidity and mortality per infection were associated with sociodemography and geography. Addressing these disparities could have helped prevent the loss of tens of thousands of lives.

Annual Report to the Nation on the Status of Cancer, part 2: Early assessment of the COVID-19 pandemic's impact on cancer diagnosis.

BACKGROUND: With access to cancer care services limited because of coronavirus disease 2019 control measures, cancer diagnosis and treatment have been delayed. The authors explored changes in the counts of US incident cases by cancer type, age, sex, race, and disease stage in 2020. METHODS: Data were extracted from selected US population-based cancer registries for diagnosis years 2015-2020 using first-submission data from the North American Association of Central Cancer Registries. After a quality assessment, the monthly numbers of newly diagnosed cancer cases were extracted for six cancer types: colorectal, female breast, lung, pancreas, prostate, and thyroid. The observed numbers of incident cancer cases in 2020 were compared with the estimated numbers by calculating observed-to-expected (O/E) ratios. The expected numbers of incident cases were extrapolated using Joinpoint trend models. RESULTS: The authors report an O/E ratio <1.0 for major screening-eligible cancer sites, indicating fewer newly diagnosed cases than expected in 2020. The O/E ratios were lowest in April 2020. For every cancer site except pancreas, Asians/Pacific Islanders had the lowest O/E ratio of any race group. O/E ratios were lower for cases diagnosed at localized stages than for cases diagnosed at advanced stages. CONCLUSIONS: The current analysis provides strong evidence for declines in cancer diagnoses, relative to the expected numbers, between March and May of 2020. The declines correlate with reductions in pathology reports and are greater for cases diagnosed at in situ and localized stage, triggering concerns about potential poor cancer outcomes in the coming years, especially in Asians/Pacific Islanders. PLAIN LANGUAGE SUMMARY: To help control the spread of coronavirus disease 2019 (COVID-19), health care organizations suspended nonessential medical procedures, including preventive cancer screening, during early 2020. Many individuals canceled or postponed cancer screening, potentially delaying cancer diagnosis. This study examines the impact of the COVID-19 pandemic on the number of newly diagnosed cancer cases in 2020 using first-submission, population-based cancer registry database. The monthly numbers of newly diagnosed cancer cases in 2020 were compared with the expected numbers based on past trends for six cancer sites. April 2020 had the sharpest decrease in cases compared with previous years, most likely because of the COVID-19 pandemic.

Cancer Distribution Among Asian, Native Hawaiian, and Pacific Islander Subgroups - United States, 2015-2019.

Non-Hispanic Asian (Asian) and non-Hispanic Native Hawaiian and Pacific Islander (NHPI) persons represent growing segments of the U.S. population (1). Epidemiologic cancer studies often aggregate Asian and NHPI persons (2,3); however, because Asian and NHPI persons are culturally, geographically, and linguistically diverse (2,4), subgroup analyses might provide insights into the distribution of health outcomes. To examine the frequency and percentage of new cancer cases among 25 Asian and NHPI subgroups, CDC analyzed the most current 2015-2019 U.S. Cancer Statistics data.* The distribution of new cancer cases among Asian and NHPI subgroups differed by sex, age, cancer type, and stage at diagnosis (for screening-detected cancers). The percentage of cases diagnosed among females ranged from 47.1% to 68.2% and among persons aged <40 years, ranged from 3.1% to 20.2%. Among the 25 subgroups, the most common cancer type varied. For example, although breast cancer was the most common in 18 subgroups, lung cancer was the most common cancer among Chamoru, Micronesian race not otherwise specified (NOS), and Vietnamese persons; colorectal cancer was the most common cancer among Cambodian, Hmong, Laotian, and Papua New Guinean persons. The frequency of late-stage cancer diagnoses among all subgroups ranged from 25.7% to 40.3% (breast), 38.1% to 61.1% (cervical), 52.4% to 64.7% (colorectal), and 70.0% to 78.5% (lung). Subgroup data illustrate health disparities among Asian and NHPI persons, which might be reduced through the design and implementation of culturally and linguistically responsive cancer prevention and control programs, including programs that address social determinants of health.

Annual Report to the Nation on the Status of Cancer, Part 2: Patient Economic Burden Associated With Cancer Care.

BACKGROUND: The American Cancer Society, National Cancer Institute, Centers for Disease Control and Prevention, and North American Association of Central Cancer Registries provide annual information about cancer occurrence and trends in the United States. Part 1 of this annual report focuses on national cancer statistics. This study is part 2, which quantifies patient economic burden associated with cancer care. METHODS: We used complementary data sources, linked Surveillance, Epidemiology, and End Results-Medicare, and the Medical Expenditure Panel Survey to develop comprehensive estimates of patient economic burden, including out-of-pocket and patient time costs, associated with cancer care. The 2000-2013 Surveillance, Epidemiology, and End Results-Medicare data were used to estimate net patient out-of-pocket costs among adults aged 65 years and older for the initial, continuing, and end-of-life phases of care for all cancer sites combined and separately for the 21 most common cancer sites. The 2008-2017 Medical Expenditure Panel Survey data were used to calculate out-of-pocket costs and time costs associated with cancer among adults aged 18-64 years and 65 years and older. RESULTS: Across all cancer sites, annualized net out-of-pocket costs for medical services and prescriptions drugs covered through a pharmacy benefit among adults aged 65 years and older were highest in the initial ($2200 and $243, respectively) and end-of-life phases ($3823 and $448, respectively) and lowest in the continuing phase ($466 and $127, respectively), with substantial variation by cancer site. Out-of-pocket costs were generally higher for patients diagnosed with later-stage disease. Net annual time costs associated with cancer were $304.3 (95% confidence interval = $257.9 to $350.9) and $279.1 (95% confidence interval = $215.1 to $343.3) for adults aged 18-64 years and ≥65 years, respectively, with higher time costs among more recently diagnosed survivors. National patient economic burden, including out-of-pocket and time costs, associated with cancer care was projected to be $21.1 billion in 2019. CONCLUSIONS: This comprehensive study found that the patient economic burden associated with cancer care is substantial in the United States at the national and patient levels.

Counties with High COVID-19 Incidence and Relatively Large Racial and Ethnic Minority Populations - United States, April 1-December 22, 2020.

Long-standing systemic social, economic, and environmental inequities in the United States have put many communities of color (racial and ethnic minority groups) at increased risk for exposure to and infection with SARS-CoV-2, the virus that causes COVID-19, as well as more severe COVID-19-related outcomes (1-3). Because race and ethnicity are missing for a proportion of reported COVID-19 cases, counties with substantial missing information often are excluded from analyses of disparities (4). Thus, as a complement to these case-based analyses, population-based studies can help direct public health interventions. Using data from the 50 states and the District of Columbia (DC), CDC identified counties where five racial and ethnic minority groups (Hispanic or Latino [Hispanic], non-Hispanic Black or African American [Black], non-Hispanic Asian [Asian], non-Hispanic American Indian or Alaska Native [AI/AN], and non-Hispanic Native Hawaiian or other Pacific Islander [NH/PI]) might have experienced high COVID-19 impact during April 1-December 22, 2020. These counties had high 2-week COVID-19 incidences (>100 new cases per 100,000 persons in the total population) and percentages of persons in five racial and ethnic groups that were larger than the national percentages (denoted as "large"). During April 1-14, a total of 359 (11.4%) of 3,142 U.S. counties reported high COVID-19 incidence, including 28.7% of counties with large percentages of Asian persons and 27.9% of counties with large percentages of Black persons. During August 5-18, high COVID-19 incidence was reported by 2,034 (64.7%) counties, including 92.4% of counties with large percentages of Black persons and 74.5% of counties with large percentages of Hispanic persons. During December 9-22, high COVID-19 incidence was reported by 3,114 (99.1%) counties, including >95% of those with large percentages of persons in each of the five racial and ethnic minority groups. The findings of this population-based analysis complement those of case-based analyses. In jurisdictions with substantial missing race and ethnicity information, this method could be applied to smaller geographic areas, to identify communities of color that might be experiencing high potential COVID-19 impact. As areas with high rates of new infection change over time, public health efforts can be tailored to the needs of communities of color as the pandemic evolves and integrated with longer-term plans to improve health equity.

Race, Ethnicity, and Age Trends in Persons Who Died from COVID-19 - United States, May-August 2020.

During February 12-October 15, 2020, the coronavirus disease 2019 (COVID-19) pandemic resulted in approximately 7,900,000 aggregated reported cases and approximately 216,000 deaths in the United States.* Among COVID-19-associated deaths reported to national case surveillance during February 12-May 18, persons aged ≥65 years and members of racial and ethnic minority groups were disproportionately represented (1). This report describes demographic and geographic trends in COVID-19-associated deaths reported to the National Vital Statistics System† (NVSS) during May 1-August 31, 2020, by 50 states and the District of Columbia. During this period, 114,411 COVID-19-associated deaths were reported. Overall, 78.2% of decedents were aged ≥65 years, and 53.3% were male; 51.3% were non-Hispanic White (White), 24.2% were Hispanic or Latino (Hispanic), and 18.7% were non-Hispanic Black (Black). The number of COVID-19-associated deaths decreased from 37,940 in May to 17,718 in June; subsequently, counts increased to 30,401 in July and declined to 28,352 in August. From May to August, the percentage distribution of COVID-19-associated deaths by U.S. Census region increased from 23.4% to 62.7% in the South and from 10.6% to 21.4% in the West. Over the same period, the percentage distribution of decedents who were Hispanic increased from 16.3% to 26.4%. COVID-19 remains a major public health threat regardless of age or race and ethnicity. Deaths continued to occur disproportionately among older persons and certain racial and ethnic minorities, particularly among Hispanic persons. These results can inform public health messaging and mitigation efforts focused on prevention and early detection of infection among disproportionately affected groups.

Lung Cancer Incidence in Nonmetropolitan and Metropolitan Counties - United States, 2007-2016.

Lung and bronchus (lung) cancer is the leading cause of cancer death in the United States (1). In 2016, 148,869 lung cancer deaths were reported.* Most lung cancers can be attributed to modifiable exposures, such as tobacco use, secondhand smoke, radon, and asbestos (1). Exposure to lung cancer risk factors vary over time and by characteristics such as sex, age, and nonmetropolitan or metropolitan residence that might affect lung cancer rates (1,2). A recent report found that lung cancer incidence rates were higher and decreased more slowly in nonmetropolitan counties than in metropolitan counties (3). To examine whether lung cancer incidence trends among nonmetropolitan and metropolitan counties differed by age and sex, CDC analyzed data from U.S. Cancer Statistics during 2007-2016, the most recent years for which data are available. During the 10-year study period, lung cancer incidence rates were stable among females aged <35, 45-64, and ≥75 years in nonmetropolitan counties, were stable among females aged <35 years in metropolitan counties, and decreased in all other groups. Overall, among males, lung cancer incidence rates decreased from 99 to 82 per 100,000 in nonmetropolitan areas and from 83 to 63 in metropolitan areas; among females, lung cancer incidence rates decreased from 61 to 58 in nonmetropolitan areas and from 57 to 50 in metropolitan areas. A comprehensive approach to lung cancer prevention and control includes such population-based strategies as screening for tobacco dependence, promoting tobacco cessation, implementing comprehensive smoke-free laws, testing all homes for radon and using proven methods to lower high radon levels, and reducing exposure to lung carcinogens such as asbestos (1). Increasing the implementation of these strategies, particularly among persons living in nonmetropolitan counties, might help to reduce disparities in the decline of lung cancer incidence.

Uterine Cancer Incidence and Mortality - United States, 1999-2016.

Uterine cancer is one of the few cancers with increasing incidence and mortality in the United States, reflecting, in part, increases in the prevalence of overweight and obesity since the 1980s (1). It is the fourth most common cancer diagnosed and the seventh most common cause of cancer death among U.S. women (1). To assess recent trends in uterine cancer incidence and mortality by race and ethnicity, CDC analyzed incidence data from CDC's National Program of Cancer Registries (NPCR) and the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program and mortality data from the National Vital Statistics System (2). Most recent data available are through 2015 for incidence and through 2016 for mortality. Uterine cancer incidence rates increased 0.7% per year during 1999-2015, and death rates increased 1.1% per year during 1999-2016, with smaller increases observed among non-Hispanic white (white) women than among women in other racial/ethnic groups. In 2015, a total of 53,911 new uterine cancer cases, corresponding to 27 cases per 100,000 women, were reported in the United States, and 10,733 uterine cancer deaths (five deaths per 100,000 women) were reported in 2016. Uterine cancer incidence was higher among non-Hispanic black (black) and white women (27 cases per 100,000) than among other racial/ethnic groups (19-23 per 100,000). Uterine cancer deaths among black women (nine per 100,000) were higher than those among other racial/ethnic groups (four to five per 100,000). Public health efforts to help women achieve and maintain a healthy weight and obtain sufficient physical activity can reduce the risk for developing cancer of the endometrium (the lining of the uterus), the most common uterine cancer. Abnormal vaginal bleeding, including bleeding between periods or after sex or any unexpected bleeding after menopause, is an important symptom of uterine cancer (3). Through programs such as CDC's Inside Knowledge* campaign, promoting awareness among women and health care providers of the need for timely evaluation of abnormal vaginal bleeding can increase the chance that uterine cancer is detected early and treated appropriately.

Annual Report to the Nation on the Status of Cancer, part II: Recent changes in prostate cancer trends and disease characteristics.

BACKGROUND: Temporal trends in prostate cancer incidence and death rates have been attributed to changing patterns of screening and improved treatment (mortality only), among other factors. This study evaluated contemporary national-level trends and their relations with prostate-specific antigen (PSA) testing prevalence and explored trends in incidence according to disease characteristics with stage-specific, delay-adjusted rates. METHODS: Joinpoint regression was used to examine changes in delay-adjusted prostate cancer incidence rates from population-based US cancer registries from 2000 to 2014 by age categories, race, and disease characteristics, including stage, PSA, Gleason score, and clinical extension. In addition, the analysis included trends for prostate cancer mortality between 1975 and 2015 by race and the estimation of PSA testing prevalence between 1987 and 2005. The annual percent change was calculated for periods defined by significant trend change points. RESULTS: For all age groups, overall prostate cancer incidence rates declined approximately 6.5% per year from 2007. However, the incidence of distant-stage disease increased from 2010 to 2014. The incidence of disease according to higher PSA levels or Gleason scores at diagnosis did not increase. After years of significant decline (from 1993 to 2013), the overall prostate cancer mortality trend stabilized from 2013 to 2015. CONCLUSIONS: After a decline in PSA test usage, there has been an increased burden of late-stage disease, and the decline in prostate cancer mortality has leveled off. Cancer 2018;124:2801-2814. © 2018 American Cancer Society.

Cost of Tobacco-related Cancer Hospitalizations in the U.S., 2014.

INTRODUCTION: Smoking has been causally linked to 12 tobacco-related cancers: oral cavity and pharynx, esophagus, stomach, colon and rectum, liver, pancreas, larynx, lung, cervix, bladder, kidney, and acute myeloid leukemia. Tobacco-related cancers-related morbidity and mortality have been well described, but little is known about the prevalence of tobacco-related cancer hospitalizations and associated costs. This study estimates the annual number of tobacco-related cancer hospitalizations and their associated direct medical costs in the U.S. METHODS: This study examined data from the 2014 National Inpatient Sample, the largest publicly available all-payer inpatient care database in the U.S. The authors calculated number of hospitalizations, total costs, length of stay, and cost per stay for tobacco-related cancer hospitalizations and cancer hospitalizations not related to tobacco. RESULTS: In 2014, there were an estimated 461,295 annual tobacco-related cancer hospitalizations at a cost of $8.2 billion in the U.S. Tobacco-related cancers accounted for 45% of total cancer hospitalizations and cancer hospitalization costs. Compared with cancer hospitalizations not related to tobacco, tobacco-related cancer hospitalizations had a longer mean length of stay (6.8 vs 5.7 days). CONCLUSIONS: The burden of tobacco-related cancer hospitalizations is substantial in the U.S. These findings highlight the importance of tobacco prevention and cessation efforts to decrease the burden of tobacco-related cancers in the U.S.

Invasive Cancer Incidence, 2004-2013, and Deaths, 2006-2015, in Nonmetropolitan and Metropolitan Counties - United States.

PROBLEM/CONDITION: Previous reports have shown that persons living in nonmetropolitan (rural or urban) areas in the United States have higher death rates from all cancers combined than persons living in metropolitan areas. Disparities might vary by cancer type and between occurrence and death from the disease. This report provides a comprehensive assessment of cancer incidence and deaths by cancer type in nonmetropolitan and metropolitan counties. REPORTING PERIOD: 2004-2015. DESCRIPTION OF SYSTEM: Cancer incidence data from CDC's National Program of Cancer Registries and the National Cancer Institute's Surveillance, Epidemiology, and End Results program were used to calculate average annual age-adjusted incidence rates for 2009-2013 and trends in annual age-adjusted incidence rates for 2004-2013. Cancer mortality data from the National Vital Statistics System were used to calculate average annual age-adjusted death rates for 2011-2015 and trends in annual age-adjusted death rates for 2006-2015. For 5-year average annual rates, counties were classified into four categories (nonmetropolitan rural, nonmetropolitan urban, metropolitan with population <1 million, and metropolitan with population ≥1 million). For the trend analysis, which used annual rates, these categories were combined into two categories (nonmetropolitan and metropolitan). Rates by county classification were examined by sex, age, race/ethnicity, U.S. census region, and cancer site. Trends in rates were examined by county classification and cancer site. RESULTS: During the most recent 5-year period for which data were available, nonmetropolitan rural areas had lower average annual age-adjusted cancer incidence rates for all anatomic cancer sites combined but higher death rates than metropolitan areas. During 2006-2015, the annual age-adjusted death rates for all cancer sites combined decreased at a slower pace in nonmetropolitan areas (-1.0% per year) than in metropolitan areas (-1.6% per year), increasing the differences in these rates. In contrast, annual age-adjusted incidence rates for all cancer sites combined decreased approximately 1% per year during 2004-2013 both in nonmetropolitan and metropolitan counties. INTERPRETATION: This report provides the first comprehensive description of cancer incidence and mortality in nonmetropolitan and metropolitan counties in the United States. Nonmetropolitan rural counties had higher incidence of and deaths from several cancers related to tobacco use and cancers that can be prevented by screening. Differences between nonmetropolitan and metropolitan counties in cancer incidence might reflect differences in risk factors such as cigarette smoking, obesity, and physical inactivity, whereas differences in cancer death rates might reflect disparities in access to health care and timely diagnosis and treatment. PUBLIC HEALTH ACTION: Many cancer cases and deaths could be prevented, and public health programs can use evidence-based strategies from the U.S. Preventive Services Task Force and Advisory Committee for Immunization Practices (ACIP) to support cancer prevention and control. The U.S. Preventive Services Task Force recommends population-based screening for colorectal, female breast, and cervical cancers among adults at average risk for these cancers and for lung cancer among adults at high risk; screening adults for tobacco use and excessive alcohol use, offering counseling and interventions as needed; and using low-dose aspirin to prevent colorectal cancer among adults considered to be at high risk for cardiovascular disease based on specific criteria. ACIP recommends vaccination against cancer-related infectious diseases including human papillomavirus and hepatitis B virus. The Guide to Community Preventive Services describes program and policy interventions proven to increase cancer screening and vaccination rates and to prevent tobacco use, excessive alcohol use, obesity, and physical inactivity.

Years of Life and Productivity Loss from Potentially Avoidable Colorectal Cancer Deaths in U.S. Counties with Lower Educational Attainment (2008-2012).

Background: Educational attainment (EA) is inversely associated with colorectal cancer risk. Colorectal cancer screening can save lives if precancerous polyps or early cancers are found and successfully treated. This study aims to estimate the potential productivity loss (PPL) and associated avoidable colorectal cancer-related deaths among screen-eligible adults residing in lower EA counties in the United States.Methods: Mortality and population data were used to examine colorectal cancer deaths (2008-2012) among adults aged 50 to 74 years in lower EA counties, and to estimate the expected number of deaths using the mortality experience from high EA counties. Excess deaths (observed-expected) were used to estimate potential years life lost, and the human capital method was used to estimate PPL in 2012 U.S. dollars.Results: County-level colorectal cancer death rates were inversely associated with county-level EA. Of the 100,857 colorectal cancer deaths in lower EA counties, we estimated that more than 21,000 (1 in 5) was potentially avoidable and resulted in nearly $2 billion annual productivity loss.Conclusions: County-level EA disparities contribute to a large number of potentially avoidable colorectal cancer-related deaths. Increased prevention and improved screening potentially could decrease deaths and help reduce the associated economic burden in lower EA communities. Increased screening could further reduce deaths in all EA groups.Impact: These results estimate the large economic impact of potentially avoidable colorectal cancer-related deaths in economically disadvantaged communities, as measured by lower EA. Cancer Epidemiol Biomarkers Prev; 26(5); 736-42. ©2016 AACR.

Vital Signs: Disparities in Tobacco-Related Cancer Incidence and Mortality - United States, 2004-2013.

BACKGROUND: Tobacco use causes at least 12 types of cancer and is the leading preventable cause of cancer. METHODS: Data from the United States Cancer Statistics dataset for 2004-2013 were used to assess incidence and death rates and trends for cancers that can be caused by tobacco use (tobacco-related cancers: oral cavity and pharynx; esophagus; stomach; colon and rectum; liver; pancreas; larynx; lung, bronchus, and trachea; kidney and renal pelvis; urinary bladder; cervix; and acute myeloid leukemia) by sex, age, race, ethnicity, state, county-level poverty and educational attainment, and cancer site. RESULTS: Each year during 2009-2013, on average, 660,000 persons in the United States received a diagnosis of a tobacco-related cancer, and 343,000 persons died from these cancers. Tobacco-related cancer incidence and death rates were higher among men than women; highest among black men and women; higher in counties with low proportion of college graduates or high level of poverty; lowest in the West; and differed two-fold among states. During 2004-2013, incidence of tobacco-related cancer decreased 1.3% per year and mortality decreased 1.6% per year, with decreases observed across most groups, but not at the same rate. CONCLUSIONS: Tobacco-related cancer declined during 2004-2013. However, the burden remains high, and disparities persist among certain groups with higher rates or slower declines in rates. IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: The burden of tobacco-related cancers can be reduced through efforts to prevent and control tobacco use and other comprehensive cancer control efforts focused on reducing cancer risk, detecting cancer early, improving cancer treatments, helping more persons survive cancer, improving cancer survivors' quality of life, and better assisting communities disproportionately impacted by cancer.

Patterns and Trends in Age-Specific Black-White Differences in Breast Cancer Incidence and Mortality - United States, 1999-2014.

Breast cancer continues to be the most commonly diagnosed cancer and the second leading cause of cancer deaths among U.S. women (1). Compared with white women, black women historically have had lower rates of breast cancer incidence and, beginning in the 1980s, higher death rates (1). This report examines age-specific black-white disparities in breast cancer incidence during 1999-2013 and mortality during 2000-2014 in the United States using data from United States Cancer Statistics (USCS) (2). Overall rates of breast cancer incidence were similar, but death rates remained higher for black women compared with white women. During 1999-2013, breast cancer incidence decreased among white women but increased slightly among black women resulting in a similar average incidence at the end of the period. Breast cancer incidence trends differed by race and age, particularly from 1999 to 2004-2005, when rates decreased only among white women aged ≥50 years. Breast cancer death rates decreased significantly during 2000-2014, regardless of age with patterns varying by race. For women aged ≥50 years, death rates declined significantly faster among white women compared with black women; among women aged <50 years, breast cancer death rates decreased at the same rate among black and white women. Although some of molecular factors that lead to more aggressive breast cancer are known, a fuller understanding of the exact mechanisms might lead to more tailored interventions that could decrease mortality disparities. When combined with population-based approaches to increase knowledge of family history of cancer, increase physical activity, promote a healthy diet to maintain a healthy bodyweight, and increase screening for breast cancer, targeted treatment interventions could reduce racial disparities in breast cancer.

Opportunities for cancer prevention during midlife: highlights from a meeting of experts.

This paper provides highlights from a CDC-hosted meeting on opportunities for cancer prevention during midlife (roughly ages 45-64 years). Positive changes during this phase of life have the potential to prevent cancer incidence later in life, making this phase an opportune time for targeted prevention efforts to facilitate healthy aging and increased longevity. Risk and protective factors discussed during the meeting included exposure to radiation from medical imaging procedures, circadian disruption, chemical exposures, dietary factors, alcohol consumption, obesity, physical activity, diabetes, and the human microbiome. Although many of these factors are well recognized as being related to cancer incidence, others are not as widely recognized or have emerged as growing areas of research. Meeting participants discussed promising strategies for cancer prevention targeting this age group. Just as there are multiple determinants of cancer risk, there are likely multiple solutions. Changes to social and physical environments may facilitate healthy behaviors and minimize harmful exposures. Information shared during the meeting about health disparities in the U.S. highlighted the need to go beyond traditional approaches to cancer prevention to truly reach vulnerable populations. Partnerships are also a key component to prevention efforts; community-based and nonprofit organizations, the healthcare system, research institutions, state health departments, and federal agencies were all noted as important partners in prevention efforts. Coordinated, multi-disciplinary efforts across multiple chronic diseases may provide opportunities for synergistic effects. Further, leveraging key partnerships and existing communication channels can maximize success and facilitate timely translation of research findings into public health practice.

Annual Report to the Nation on the Status of Cancer, 1975-2009, featuring the burden and trends in human papillomavirus(HPV)-associated cancers and HPV vaccination coverage levels.

BACKGROUND: The American Cancer Society (ACS), the Centers for Disease Control and Prevention (CDC), the National Cancer Institute (NCI), and the North American Association of Central Cancer Registries (NAACCR) collaborate annually to provide updates on cancer incidence and death rates and trends in these outcomes for the United States. This year's report includes incidence trends for human papillomavirus (HPV)-associated cancers and HPV vaccination (recommended for adolescents aged 11-12 years). METHODS: Data on cancer incidence were obtained from the CDC, NCI, and NAACCR, and data on mortality were obtained from the CDC. Long- (1975/1992-2009) and short-term (2000-2009) trends in age-standardized incidence and death rates for all cancers combined and for the leading cancers among men and among women were examined by joinpoint analysis. Prevalence of HPV vaccination coverage during 2008 and 2010 and of Papanicolaou (Pap) testing during 2010 were obtained from national surveys. RESULTS: Death rates continued to decline for all cancers combined for men and women of all major racial and ethnic groups and for most major cancer sites; rates for both sexes combined decreased by 1.5% per year from 2000 to 2009. Overall incidence rates decreased in men but stabilized in women. Incidence rates increased for two HPV-associated cancers (oropharynx, anus) and some cancers not associated with HPV (eg, liver, kidney, thyroid). Nationally, 32.0% (95% confidence interval [CI] = 30.3% to 33.6%) of girls aged 13 to 17 years in 2010 had received three doses of the HPV vaccine, and coverage was statistically significantly lower among the uninsured (14.1%, 95% CI = 9.4% to 20.6%) and in some Southern states (eg, 20.0% in Alabama [95% CI = 13.9% to 27.9%] and Mississippi [95% CI = 13.8% to 28.2%]), where cervical cancer rates were highest and recent Pap testing prevalence was the lowest. CONCLUSIONS: The overall trends in declining cancer death rates continue. However, increases in incidence rates for some HPV-associated cancers and low vaccination coverage among adolescents underscore the need for additional prevention efforts for HPV-associated cancers, including efforts to increase vaccination coverage.

Mortality from leading causes by education and race in the United States, 2001.

BACKGROUND: Low educational attainment is a marker of socioeconomic status that correlates strongly with higher death rates from many conditions. No previous studies have analyzed national data to measure the number of deaths associated with lower education among working-aged adults (25-64 years) by race or ethnicity. Furthermore, no previous studies have examined comprehensively the relationship of education to cause-specific and all-cause mortality in the three largest racial or ethnic groups in the United States using national data. METHODS: Age-standardized, race/ethnicity-specific death rates from all causes and the 15 leading causes were measured among men and women aged 25-64 years by level of education based on U.S. national mortality data in 2001. The total number of deaths that potentially could be avoided among people aged 25-64 years was estimated by applying the mortality rates among college graduates (within each 5-year category of age, gender, and race/ethnicity) to each of the less-educated subpopulations. All analyses were performed in 2007. RESULTS: Nearly half (48%) of all deaths among men aged 25-64 years (white, black, and Hispanic), and 38% of all deaths in women would not have occurred in this age range if all segments of the population experienced the death rates of college graduates. Black men and women had the highest death rates from all causes combined and from many specific causes at nearly all levels of education, and the largest average life years lost before age 65 years. However, the total number of deaths associated with low education status was not confined to any single racial group. About 161,280 deaths in whites, 40,840 deaths in blacks, and 13,162 deaths in Hispanics in this age range were associated with educational disparity. CONCLUSIONS: Potentially avoidable factors associated with lower educational status account for almost half of all deaths among working-aged adults in the U.S.; these deaths are not confined to any single racial or ethnic group. These findings highlight the need for greater attention to social determinants of health.