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Dive into the research topics where Cheryll C. Thomas is active.

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Featured researches published by Cheryll C. Thomas.


Morbidity and Mortality Weekly Report | 2016

Human Papillomavirus-Associated Cancers - United States, 2008-2012.

Laura Viens; S. Jane Henley; Meg Watson; Lauri E. Markowitz; Cheryll C. Thomas; Trevor D. Thompson; Hilda Razzaghi; Mona Saraiya

Human papillomavirus (HPV) is a known cause of cervical cancers, as well as some vulvar, vaginal, penile, oropharyngeal, anal, and rectal cancers (1,2). Although most HPV infections are asymptomatic and clear spontaneously, persistent infections with one of 13 oncogenic HPV types can progress to precancer or cancer. To assess the incidence of HPV-associated cancers, CDC analyzed 2008-2012 high-quality data from the CDCs National Program of Cancer Registries and the National Cancer Institutes Surveillance, Epidemiology, and End Results program. During 2008-2012, an average of 38,793 HPV-associated cancers were diagnosed annually, including 23,000 (59%) among females and 15,793 (41%) among males. By multiplying these counts by the percentages attributable to HPV (3), CDC estimated that approximately 30,700 new cancers were attributable to HPV, including 19,200 among females and 11,600 among males. Cervical precancers can be detected through screening, and treatment can prevent progression to cancer; HPV vaccination can prevent infection with HPV types that cause cancer at cervical and other sites (3). Vaccines are available for HPV types 16 and 18, which cause 63% of all HPV-associated cancers in the United States, and for HPV types 31, 33, 45, 52, and 58, which cause an additional 10% (3). Among the oncogenic HPV types, HPV 16 is the most likely to both persist and to progress to cancer (3). The impact of these primary and secondary prevention interventions can be monitored using surveillance data from population-based cancer registries.


Obstetrics & Gynecology | 2009

Endometrial Cancer Risk Among Younger, Overweight Women

Cheryll C. Thomas; Phyllis A. Wingo; Mary S. Dolan; Nancy C. Lee; Lisa C. Richardson

OBJECTIVE: To examine the risk for endometrial cancer among overweight women using the World Health Organizations clinical definitions of obesity based on body mass index (BMI). METHODS: Conducted in the early 1980s, the Cancer and Steroid Hormone study was a multicenter, population-based, case–control study of breast, ovarian, and endometrial cancers among women aged 20–54 years. Participants for the case group (n=421) were identified through cancer registries and had histologically confirmed endometrial cancer. Participants for the control group (n=3,159) were chosen by random-digit dialing methods in the same regions as those in the case group. Those in the case and control groups responded to the same questions during in-person interviews. Unconditional logistic regression was used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: The relationship between endometrial cancer and BMI (calculated as weight [kg]/[height (m)]2) was modified by age at last menstrual period (LMP). Of women who were younger than 45 years at LMP, those with BMIs of at least 35.0 had a greater risk of endometrial cancer (56%, 30/54) than did those with normal BMIs (4%, 59/1,492, adjusted OR 21.7, 95% CI 11.3–41.7). Of women age 45 or older at LMP, those with BMIs of at least 35.0 also had a greater risk (40%, 24/60) than did those with normal BMIs (14%, 168/1,235, adjusted OR 3.7, 95% CI 2.0–6.6). Women younger than 45 years at LMP and those with BMIs of at least 25.0 at 18 years and as adults (25%, 31/123) had an approximately sixfold increased risk (adjusted OR 5.8, 95% CI 3.4–9.8) compared with those with normal BMIs at 18 and as adults (4%, 58/1,460). CONCLUSION: Very obese women aged 20–54 years have an elevated endometrial cancer risk, which appears heightened by early menopause. LEVEL OF EVIDENCE: II


MMWR. Surveillance Summaries | 2017

Leading causes of death in nonmetropolitan and metropolitan areas -- United States, 1999–2014

Ernest Moy; Macarena C. Garcia; Brigham Bastian; Lauren M. Rossen; Deborah D Ingram; Mark Faul; Greta M. Massetti; Cheryll C. Thomas; Yuling Hong; Paula W. Yoon; Michael F. Iademarco

Problem/Condition Higher rates of death in nonmetropolitan areas (often referred to as rural areas) compared with metropolitan areas have been described but not systematically assessed. Period Covered 1999–2014 Description of System Mortality data for U.S. residents from the National Vital Statistics System were used to calculate age-adjusted death rates and potentially excess deaths for nonmetropolitan and metropolitan areas for the five leading causes of death. Age-adjusted death rates included all ages and were adjusted to the 2000 U.S. standard population by the direct method. Potentially excess deaths are defined as deaths among persons aged <80 years that exceed the numbers that would be expected if the death rates of states with the lowest rates (i.e., benchmark states) occurred across all states. (Benchmark states were the three states with the lowest rates for each cause during 2008–2010.) Potentially excess deaths were calculated separately for nonmetropolitan and metropolitan areas. Data are presented for the United States and the 10 U.S. Department of Health and Human Services public health regions. Results Across the United States, nonmetropolitan areas experienced higher age-adjusted death rates than metropolitan areas. The percentages of potentially excess deaths among persons aged <80 years from the five leading causes were higher in nonmetropolitan areas than in metropolitan areas. For example, approximately half of deaths from unintentional injury and chronic lower respiratory disease in nonmetropolitan areas were potentially excess deaths, compared with 39.2% and 30.9%, respectively, in metropolitan areas. Potentially excess deaths also differed among and within public health regions; within regions, nonmetropolitan areas tended to have higher percentages of potentially excess deaths than metropolitan areas. Interpretation Compared with metropolitan areas, nonmetropolitan areas have higher age-adjusted death rates and greater percentages of potentially excess deaths from the five leading causes of death, nationally and across public health regions. Public Health Action Routine tracking of potentially excess deaths in nonmetropolitan areas might help public health departments identify emerging health problems, monitor known problems, and focus interventions to reduce preventable deaths in these areas.


American Journal of Public Health | 2014

Cervical cancer incidence and mortality among American Indian and Alaska Native women, 1999-2009.

Meg Watson; Vicki B. Benard; Cheryll C. Thomas; Annie Brayboy; Roberta Paisano; Thomas M. Becker

OBJECTIVES We analyzed cervical cancer incidence and mortality data in American Indian and Alaska Native (AI/AN) women compared with women of other races. METHODS We improved identification of AI/AN race, cervical cancer incidence, and mortality data using Indian Health Service (IHS) patient records; our analyses focused on residents of IHS Contract Health Service Delivery Area (CHSDA) counties. Age-adjusted incidence and death rates were calculated for AI/AN and White women from 1999 to 2009. RESULTS AI/AN women in CHSDA counties had a death rate from cervical cancer of 4.2, which was nearly twice the rate in White women (2.0; rate ratio [RR] = 2.11). AI/AN women also had higher incidence rates of cervical cancer compared with White women (11.0 vs 7.1; RR = 1.55) and were more often diagnosed with later-stage disease (RR = 1.84 for regional stage and RR = 1.74 for distant stage). Death rates decreased for AI/AN women from 1990 to 1993 (-25.8%/year) and remained stable thereafter. CONCLUSIONS Although rates decreased over time, AI/AN women had disproportionately higher cervical cancer incidence and mortality. The persistently higher rates among AI/AN women compared with White women require continued improvements in identifying and treating cervical cancer and precancerous lesions.


Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) | 2017

Reducing Potentially Excess Deaths from the Five Leading Causes of Death in the Rural United States

Macarena C. Garcia; Mark Faul; Greta M. Massetti; Cheryll C. Thomas; Yuling Hong; Ursula E. Bauer; Michael F. Iademarco

In 2014, the all-cause age-adjusted death rate in the United States reached a historic low of 724.6 per 100,000 population (1). However, mortality in rural (nonmetropolitan) areas of the United States has decreased at a much slower pace, resulting in a widening gap between rural mortality rates (830.5) and urban mortality rates (704.3) (1). During 1999–2014, annual age-adjusted death rates for the five leading causes of death in the United States (heart disease, cancer, unintentional injury, chronic lower respiratory disease (CLRD), and stroke) were higher in rural areas than in urban (metropolitan) areas (Figure 1). In most public health regions (Figure 2), the proportion of deaths among persons aged <80 years (U.S. average life expectancy) (2) from the five leading causes that were potentially excess deaths was higher in rural areas compared with urban areas (Figure 3). Several factors probably influence the rural-urban gap in potentially excess deaths from the five leading causes, many of which are associated with sociodemographic differences between rural and urban areas. Residents of rural areas in the United States tend to be older, poorer, and sicker than their urban counterparts (3). A higher proportion of the rural U.S. population reports limited physical activity because of chronic conditions than urban populations (4). Moreover, social circumstances and behaviors have an impact on mortality and potentially contribute to approximately half of the determining causes of potentially excess deaths (5).


MMWR. Surveillance Summaries | 2017

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

S. Jane Henley; Robert N. Anderson; Cheryll C. Thomas; Greta M. Massetti; Brandy Peaker; Lisa C. Richardson

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.


Morbidity and Mortality Weekly Report | 2016

Potentially Preventable Deaths Among the Five Leading Causes of Death — United States, 2010 and 2014

Macarena C. Garcia; Brigham Bastian; Lauren M. Rossen; Rob Anderson; Arialdi M. Miniño; Paula W. Yoon; Mark Faul; Greta M. Massetti; Cheryll C. Thomas; Yuling Hong; Michael F. Iademarco

Death rates by specific causes vary across the 50 states and the District of Columbia.* Information on differences in rates for the leading causes of death among states might help state health officials determine prevention goals, priorities, and strategies. CDC analyzed National Vital Statistics System data to provide national and state-specific estimates of potentially preventable deaths among the five leading causes of death in 2014 and compared these estimates with estimates previously published for 2010. Compared with 2010, the estimated number of potentially preventable deaths changed (supplemental material at https://stacks.cdc.gov/view/cdc/42472); cancer deaths decreased 25% (from 84,443 to 63,209), stroke deaths decreased 11% (from 16,973 to 15,175), heart disease deaths decreased 4% (from 91,757 to 87,950), chronic lower respiratory disease (CLRD) (e.g., asthma, bronchitis, and emphysema) deaths increased 1% (from 28,831 to 29,232), and deaths from unintentional injuries increased 23% (from 36,836 to 45,331). A better understanding of progress made in reducing potentially preventable deaths in the United States might inform state and regional efforts targeting the prevention of premature deaths from the five leading causes in the United States.


Morbidity and Mortality Weekly Report | 2015

CDC Grand Rounds: Prevention and Control of Skin Cancer.

Meg Watson; Cheryll C. Thomas; Greta M. Massetti; Sharon McKenna; Jeffrey E. Gershenwald; Susan Laird; John K. Iskander; Boris Lushniak

Skin cancer is the most common cancer in the United States, and most cases are preventable. Persons with certain genetic risk factors, including having a lighter natural skin color; blue or green eyes; red or blonde hair; dysplastic nevi or a large number of common moles; and skin that burns, freckles, or reddens easily or becomes painful after time in the sun, have increased risk for skin cancer. Persons with a family or personal history of skin cancer, especially melanoma, are also at increased risk. Although these genetic factors contribute to individual risk, most skin cancers are also strongly associated with ultraviolet (UV) radiation exposure. Most UV exposure comes from the sun, although some persons use UV-emitting indoor tanning devices (e.g., beds, booths, and lamps).


Preventing Chronic Disease | 2016

Understanding Barriers to Cervical Cancer Screening in Women With Access to Care, Behavioral Risk Factor Surveillance System, 2014

Anatasha Crawford; Vicki B. Benard; Jessica B. King; Cheryll C. Thomas

Cervical cancer screening can save lives when abnormal cervical lesions and early cancers are detected and treated; however, many women are not screened as recommended. We used the Behavioral Risk Factor Surveillance System survey to examine nonfinancial barriers to cervical cancer screening among women who reported having insurance and a personal doctor or health care provider. Among these women, a higher proportion who were never or rarely screened reported having multiple chronic conditions. The results of this study underscore the importance of incorporating preventive clinical services into the management of one or more chronic conditions.


Morbidity and Mortality Weekly Report | 2016

CDC grand rounds: Family history and genomics as tools for cancer prevention and control

Juan L. Rodriguez; Cheryll C. Thomas; Greta M. Massetti; Debra Duquette; Lindsay Avner; John K. Iskander; Muin J. Khoury; Lisa C. Richardson

Although many efforts in cancer prevention and control have routinely focused on behavioral risk factors, such as tobacco use, or on the early detection of cancer, such as colorectal cancer screening, advances in genetic testing have created new opportunities for cancer prevention through evaluation of family history and identification of cancer-causing inherited mutations. Through the collection and evaluation of a family cancer history by a trained health care provider, patients and families at increased risk for a hereditary cancer syndrome can be identified, referred for genetic counseling and testing, and make informed decisions about options for cancer risk reduction (1). Although hereditary cancers make up a small proportion of all cancers, the number of affected persons can be large, and the level of risk among affected persons is high. Two hereditary cancer syndromes for which public health professionals have worked to reduce the burden of morbidity and mortality are hereditary breast and ovarian cancer syndrome (HBOC) and Lynch syndrome.

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Greta M. Massetti

Centers for Disease Control and Prevention

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Lisa C. Richardson

Centers for Disease Control and Prevention

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Jessica B. King

Centers for Disease Control and Prevention

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Meg Watson

Centers for Disease Control and Prevention

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Vicki B. Benard

Centers for Disease Control and Prevention

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Donatus U. Ekwueme

Centers for Disease Control and Prevention

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Gery P. Guy

Centers for Disease Control and Prevention

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Sun Hee Rim

Centers for Disease Control and Prevention

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