BACKGROUND: Although the overall life expectancy at birth has increased for both blacks and whites and the gap between these populations has narrowed, disparities in life expectancy and the leading causes of death for blacks compared with whites in the United States remain substantial. Understanding how factors that influence these disparities vary across the life span might enhance the targeting of appropriate interventions. METHODS: Trends during 1999-2015 in mortality rates for the leading causes of death were examined by black and white race and age group. Multiple 2014 and 2015 national data sources were analyzed to compare blacks with whites in selected age groups by sociodemographic characteristics, self-reported health behaviors, health-related quality of life indicators, use of health services, and chronic conditions. RESULTS: During 1999-2015, age-adjusted death rates decreased significantly in both populations, with rates declining more sharply among blacks for most leading causes of death. Thus, the disparity gap in all-cause mortality rates narrowed from 33% in 1999 to 16% in 2015. However, during 2015, blacks still had higher death rates than whites for all-cause mortality in all groups aged <65 years. Compared with whites, blacks in age groups <65 years had higher levels of some self-reported risk factors and chronic diseases and mortality from cardiovascular diseases and cancer, diseases that are most common among persons aged ≥65 years. CONCLUSIONS AND IMPLICATIONS FOR PUBLIC HEALTH PRACTICE: To continue to reduce the gap in health disparities, these findings suggest an ongoing need for universal and targeted interventions that address the leading causes of deaths among blacks (especially cardiovascular disease and cancer and their risk factors) across the life span and create equal opportunities for health.

The Prevention Research Centers (PRC) Program began in 1984, when Congress authorized the DHHS to create a network of academic health centers to conduct applied public health prevention research.1 In 1986, the Centers for Disease Control and Prevention (CDC) was selected to provide leadership, technical assistance, and oversight for this network of PRCs. | The PRCs are university-based research centers that undertake research-to-practice projects in health promotion and disease prevention. Their work demonstrates the use of new and innovative research in public health approaches that improve the health of the population, particularly those experiencing health disparities. PRCs partner with local, state, and national organizations on a variety of topics, including obesity, diabetes, heart attack and stroke, cancer, physical activity, nutrition, injury prevention, adolescent health, disability prevention among older Americans, and HIV/AIDS. PRCs tap into the expertise of diverse disciplines across their universities and beyond to address health issues and employ diverse methods appropriate to their research questions. A timeline of significant PRC milestones is depicted in the Appendix (available online) and PRC funding appropriations are depicted in Figure 1.

PROBLEM/CONDITION: Persons living in rural areas are recognized as a health disparity population because the prevalence of disease and rate of premature death are higher than for the overall population of the United States. Surveillance data about health-related behaviors are rarely reported by urban-rural status, which makes comparisons difficult among persons living in metropolitan and nonmetropolitan counties. REPORTING PERIOD: 2013. DESCRIPTION OF SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed landline- and cellular-telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services related to the leading causes of death and disability. BRFSS data were analyzed for 398,208 adults aged ≥18 years to estimate the prevalence of five self-reported health-related behaviors (sufficient sleep, current nonsmoking, nondrinking or moderate drinking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations) by urban-rural status. For this report, rural is defined as the noncore counties described in the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties. RESULTS: Approximately one third of U.S. adults practice at least four of these five behaviors. Compared with adults living in the four types of metropolitan counties (large central metropolitan, large fringe metropolitan, medium metropolitan, and small metropolitan), adults living in the two types of nonmetropolitan counties (micropolitan and noncore) did not differ in the prevalence of sufficient sleep; had higher prevalence of nondrinking or moderate drinking; and had lower prevalence of current nonsmoking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations. The overall age-adjusted prevalence of reporting at least four of the five health-related behaviors was 30.4%. The prevalence among the estimated 13.3 million adults living in noncore counties was lower (27.0%) than among those in micropolitan counties (28.8%), small metropolitan counties (29.5%), medium metropolitan counties (30.5%), large fringe metropolitan counties (30.2%), and large metropolitan centers (31.7%). INTERPRETATION: This is the first report of the prevalence of these five health-related behaviors for the six urban-rural categories. Nonmetropolitan counties have lower prevalence of three and clustering of at least four health-related behaviors that are associated with the leading chronic disease causes of death. Prevalence of sufficient sleep was consistently low and did not differ by urban-rural status. PUBLIC HEALTH ACTION: Chronic disease prevention efforts focus on improving the communities, schools, worksites, and health systems in which persons live, learn, work, and play. Evidence-based strategies to improve health-related behaviors in the population of the United States can be used to reach the Healthy People 2020 objectives for these five self-reported health-related behaviors (sufficient sleep, current nonsmoking, nondrinking or moderate drinking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations). These findings suggest an ongoing need to increase public awareness and public education, particularly in rural counties where prevalence of these health-related behaviors is lowest.

INTRODUCTION: Five key health-related behaviors for chronic disease prevention are never smoking, getting regular physical activity, consuming no alcohol or only moderate amounts, maintaining a normal body weight, and obtaining daily sufficient sleep. The objective of this study was to estimate the clustering of these 5 health-related behaviors among adults aged 21 years or older in each state and the District of Columbia and to assess geographic variation in clustering. METHODS: We used data from the 2013 Behavioral Risk Factor Surveillance System (BRFSS) to assess the clustering of the 5 behaviors among 395,343 BRFSS respondents aged 21 years or older. The 5 behaviors were defined as currently not smoking cigarettes, meeting the aerobic physical activity recommendation, consuming no alcohol or only moderate amounts, maintaining a normal body mass index (BMI), and sleeping at least 7 hours per 24-hour period. Prevalence of having 4 or 5 of these behaviors, by state, was also examined. RESULTS: Among US adults, 81.6% were current nonsmokers, 63.9% obtained 7 hours or more sleep per day, 63.1% reported moderate or no alcohol consumption, 50.4% met physical activity recommendations, and 32.5% had a normal BMI. Only 1.4% of respondents engaged in none of the 5 behaviors; 8.4%, 1 behavior; 24.3%, 2 behaviors; 35.4%, 3 behaviors; and 24.3%, 4 behaviors; only 6.3% reported engaging in all 5 behaviors. The highest prevalence of engaging in 4 or 5 behaviors was clustered in the Pacific and Rocky Mountain states. Lowest prevalence was in the southern states and along the Ohio River. CONCLUSION: Additional efforts are needed to increase the proportion of the population that engages in all 5 health-related behaviors and to eliminate geographic variation. Collaborative efforts in health care systems, communities, work sites, and schools can promote all 5 behaviors and produce population-wide changes, especially among the socioeconomically disadvantaged.

Mental health and sleep are intricately linked. This study characterized associations of psychological distress with short (≤6 hours) and long (≥9 hours) sleep duration among adults aged ≥18 years. 2013 Behavioral Risk Factor Surveillance System data (n = 36,859) from Colorado, Minnesota, Nevada, Tennessee, and Washington included the Kessler 6 (K6) scale, which has been psychometrically validated for measuring severe psychological distress (SPD); three specifications were evaluated. Overall, 4.0% of adults reported SPD, 33.9% reported short sleep, and 7.8% reported long sleep. After adjustment, adults with SPD had 1.58 (95% CI: 1.45, 1.72) and 1.39 (95% CI: 1.08, 1.79) times higher probability of reporting short and long sleep duration, respectively. Using an ordinal measure showed a dose-response association with prevalence ratios of 1.00, 1.16, 1.38, 1.67, and 2.11 for short sleep duration. Each additional point added to the K6 scale was associated with 1.08 (95% CI: 1.07, 1.10) and 1.02 (95% CI: 1.00, 1.03) times higher probability of reporting short and long sleep duration, respectively. Some results were statistically different by gender. Any psychological distress, not only SPD, was associated with a higher probability of short sleep duration but not long sleep duration. These findings highlight the need for interventions.

Contemporary public health professionals must address the health needs of a diverse population with constrained budgets and shrinking funds. Economic evaluation contributes to evidence-based decision making by helping the public health community identify, measure, and compare activities with the necessary impact, scalability, and sustainability to optimize population health. Asking "how do investments in public health strategies influence or offset the need for downstream spending on medical care and/or social services?" is important when making decisions about resource allocation and scaling of interventions.

OBJECTIVE: Insomnia is a prevalent disorder in the United States and elsewhere. It has been associated with a range of somatic and psychiatric conditions, and adversely affects quality of life, productivity at work, and school performance. The objective of this study was to examine the trend in self-reported insomnia and excessive daytime sleepiness among US adults. METHODS: We used data of participants aged ≥18 years from the National Health Interview Survey for the years 2002 (30,970 participants), 2007 (23,344 participants), and 2012 (34,509 participants). RESULTS: The unadjusted prevalence of insomnia or trouble sleeping increased from 17.5% (representing 37.5 million adults) in 2002 to 19.2% (representing 46.2 million adults) in 2012 (relative increase: +8.0%) (P trend <0.001). The age-adjusted prevalence increased from 17.4% to 18.8%. Significant increases were present among participants aged 18-24, 25-34, 55-64, and 65-74 years, men, women, whites, Hispanics, participants with diabetes, and participants with joint pain. Large relative increases occurred among participants aged 18-24 years (+30.9%) and participants with diabetes (+27.0%). The age-adjusted percentage of participants who reported regularly having excessive daytime sleepiness increased from 9.8% to 12.7% (P trend <0.001). Significant increases were present in most demographic groups. The largest relative increase was among participants aged 25-34 years (+49%). Increases were also found among participants with hypertension, chronic obstructive pulmonary disease, asthma, and joint pain. CONCLUSIONS: Given the deleterious effects of insomnia on health and performance, the increasing prevalence of insomnia and excessive daytime sleepiness among US adults is a potentially troubling development.

OBJECTIVE: We assessed the relationship between active duty status and daily insufficient sleep in a telephone survey. METHODS: U.S. military service status (recent defined as past 12 months and past defined as >12 months ago) and daily insufficient sleep in the past 30 days were assessed among 566,861 adults aged 18 to 64 years and 271,202 adults aged ≥65 years in the 2009 to 2010 Behavioral Risk Factor Surveillance System surveys. RESULTS: Among ages 18 to 64 years, 1.1% reported recent active duty and 7.1% had past service; among ages ≥65 years, 0.6% reported recent and 24.6% had past service. Among ages 18 to 64 years, prevalence of daily insufficient sleep was 13.7% among those reporting recent duty, 12.6% for those with past service, and 11.2% for those with no service. Insufficient sleep did not vary significantly with active duty status among ages ≥65 years. After adjustment for sociodemographic characteristics, health behaviors, and frequent mental distress in multivariate logistic regression models, respondents aged 18 to 64 years with recent active duty were 34% more likely and those with past service were 23% more likely to report daily insufficient sleep than those with no service (p < 0.05, both). CONCLUSIONS: Adults with either recent or past active duty have a greater risk for daily insufficient sleep.

PURPOSE: Adverse childhood experiences (ACEs) before age 18 have been repeatedly associated with several chronic diseases in adulthood such as depression, heart disease, cancer, diabetes, and stroke. We examined sex-specific relationships between individual ACEs and the number of ACEs with chronic obstructive pulmonary disease (COPD) in the general population. MATERIALS AND METHODS: Data from 26,546 women and 19,015 men aged ≥18 years in five states of the 2011 Behavioral Risk Factor Surveillance System were analyzed. We used log-linear regression to estimate prevalence ratios (PRs) and their corresponding 95% confidence intervals (CIs) for the relationship of eight ACEs with COPD after adjustment for age group, race/ethnicity, marital status, educational attainment, employment, asthma history, health insurance coverage, and smoking status. RESULTS: Some 63.8% of women and 62.2% of men reported ≥1 ACE. COPD was reported by 4.9% of women and 4.0% of men. In women, but not in men, there was a higher likelihood of COPD associated with verbal abuse (PR =1.30, 95% CI: 1.05, 1.61), sexual abuse (PR =1.69, 95% CI: 1.36, 2.10), living with a substance abusing household member (PR =1.49, 95% CI: 1.23, 1.81), witnessing domestic violence (PR =1.40, 95% CI: 1.14, 1.72), and parental separation/divorce (PR =1.47, 95% CI: 1.21, 1.80) during childhood compared to those with no individual ACEs. Reporting ≥5 ACEs (PR =2.08, 95% CI: 1.55, 2.80) compared to none was associated with a higher likelihood of COPD among women only. CONCLUSION: ACEs are related to COPD, especially among women. These findings underscore the need for further research that examines sex-specific differences and the possible mechanisms linking ACEs and COPD. This work adds to a growing body of research suggesting that ACEs may contribute to health problems later in life and suggesting a need for program and policy solutions.

STUDY OBJECTIVE: To examine recent national trends in outpatient visits for sleep related difficulties in the United States and prescriptions for sleep medications. DESIGN: Trend analysis. SETTING: Data from the National Ambulatory Medical Care Survey from 1999 to 2010. PARTICIPANTS: Patients age 20 y or older. MEASUREMENTS AND RESULTS: The number of office visits with insomnia as the stated reason for visit increased from 4.9 million visits in 1999 to 5.5 million visits in 2010 (13% increase), whereas the number with any sleep disturbance ranged from 6,394,000 visits in 1999 to 8,237,000 visits in 2010 (29% increase). The number of office visits for which a diagnosis of sleep apnea was recorded increased from 1.1 million visits in 1999 to 5.8 million visits in 2010 (442% increase), whereas the number of office visits for which any sleep related diagnosis was recorded ranged from 3.3 million visits in 1999 to 12.1 million visits in 2010 (266% increase). The number of prescriptions for any sleep medication ranged from 5.3 in 1999 to 20.8 million in 2010 (293% increase). Strong increases in the percentage of office visits resulting in a prescription for nonbenzodiazepine sleep medications ( approximately 350%), benzodiazepine receptor agonists ( approximately 430%), and any sleep medication ( approximately 200%) were noted. CONCLUSIONS: Striking increases in the number and percentage of office visits for sleep related problems and in the number and percentage of office visits accompanied by a prescription for a sleep medication occurred from 1999-2010.

BACKGROUND: The extent to which patients with COPD are receiving indicated treatment with medications to improve lung function and recent trends in the use of these medications is not well documented in the United States. The objective of this study was to examine trends in prescription medications for COPD among adults in the United States from 1999 to 2010. METHODS: We performed a trend analysis using data from up to 1426 participants aged ≥20 years with self-reported COPD from six national surveys (National Health and Nutrition Examination Survey 1999-2010). RESULTS: During 2009-2010, the age-adjusted percentage of participants who used any kind of medication was 44.2%. Also during 2009-2010, the most commonly used medications were short-acting agents (36.0%), inhaled corticosteroids (ICS) (18.3%), and LABAs (16.7%). The use of long-acting beta-2 agonists (LABAs) (p for trend <0.001), ICS (p for trend = 0.013) increased significantly over the 12-year period. Furthermore, the use of tiotropium increased rapidly during this period (p for trend <0.001). For the years 2005-2010, the use of LABAs, ICS and tiotropium increased with age. Compared with whites, Mexican Americans were less likely to use short-acting agents, LABAs, ICS, tiotropium, and any kind of COPD medication. Among participants aged 20-79 years with spirometry measurements during 2007-2010, the use of any medication was reported by 19.0% of those with a moderate/severe obstructive impairment and by 72.6% of those with self-reported COPD and any obstructive impairment. CONCLUSION: The percentages of adults with COPD who reported having various classes of prescription medications that improve airflow limitations changed markedly from 1999-2000 to 2009-2010. However, many adults with COPD did not report having recommended prescription medications.

Recent trends in prescriptions for medicines used to treat chronic obstructive pulmonary disease (COPD) in the United States have received little attention. Our objective was to examine trends in prescribing practices for medications used to treat COPD. We examined data from surveys of national samples of office visits to non-federal employed office-based physicians in the United States by patients aged ≥40 years with COPD recorded by the National Ambulatory Medical Care Survey from 1999 to 2010. From three diagnostic codes, office visits by patients with COPD were identified. Prescribed medications were identified from up to 8 recorded medications. The percentage of these visits during which a prescription for any medication used to treat COPD was issued increased from 27.0% in 1999 to 49.1% in 2010 (p trend < 0.001). Strong increases were noted for short-acting beta-2 agonists (17.6% in 1999 to 24.7% in 2010; p trend < 0.001), long-acting beta-2 agonists as single agents or combination products (6.2% in 1999 to 28.3% in 2010; p trend < 0.001), inhaled corticosteroids as single agents or combination products (10.9% in 1999 to 30.9% in 2010; p trend < 0.001), and tiotropium (3.8% in 2004 to 17.2% in 2010; p trend < 0.001). Since 1999, prescription patterns for medicines used to treat COPD have changed profoundly in the United States.

This report updates surveillance results for COPD in the United States. For 1999 to 2011, data from national data systems for adults aged ≥ 25 years were analyzed. In 2011, 6.5% of adults (approximately 13.7 million) reported having been diagnosed with COPD. From 1999 to 2011, the overall age-adjusted prevalence of having been diagnosed with COPD declined (P = .019). In 2010, there were 10.3 million (494.8 per 10,000) physician office visits, 1.5 million (72.0 per 10,000) ED visits, and 699,000 (32.2 per 10,000) hospital discharges for COPD. From 1999 to 2010, no significant overall trends were noted for physician office visits and ED visits; however, the age-adjusted hospital discharge rate for COPD declined significantly (P = .001). In 2010 there were 312,654 (11.2 per 1,000) Medicare hospital discharge claims submitted for COPD. Medicare claims (1999-2010) declined overall (P = .045), among men (P = .022) and among enrollees aged 65 to 74 years (P = .033). There were 133,575 deaths (63.1 per 100,000) from COPD in 2010. The overall age-adjusted death rate for COPD did not change during 1999 to 2010 (P = .163). Death rates (1999-2010) increased among adults aged 45 to 54 years (P &lt; .001) and among American Indian/Alaska Natives (P = .008) but declined among those aged 55 to 64 years (P = .002) and 65 to 74 years (P &lt; .001), Hispanics (P = .038), Asian/Pacific Islanders (P &lt; .001), and men (P = .001). Geographic clustering of prevalence, Medicare hospitalizations, and deaths were observed. Declines in the age-adjusted prevalence, death rate in men, and hospitalizations for COPD since 1999 suggest progress in the prevention of COPD in the United States.

BACKGROUND: National spirometric surveillance data in the United States were last collected during 1988-1994. The objective of this study was to provide current estimates for obstructive and restrictive impairment of lung function and to examine changes since 1988-1994. METHODS: We used data from 14,360 participants aged 20 to 79 years from the National Health and Nutrition Examination Survey (NHANES) III (1988-1994) and 9,024 participants from NHANES 2007-2010. Spirometry was conducted using the same spirometers and generally similar protocols. RESULTS: During 2007-2010, 13.5% (SE, 0.6) of participants had evidence of airway obstruction (FEV1/FVC < 0.70): 79.9% of adults had normal lung function, 6.5% had a restrictive impairment, 7.5% had mild obstruction, 5.4% had moderate obstruction, and 0.7% had severe obstruction. Although the overall age-adjusted prevalence of any obstruction did not change significantly from 1988-1994 (14.6%) to 2007-2010 (13.5%) (P = .178), significant decreases were noted for participants aged 60 to 79 years and for Mexican Americans. The prevalence of current smoking remained high among participants with moderate (48.4%) and severe (37.9%) obstructive impairments. A significant decline in current smoking occurred only among those with normal lung function (P < .05). CONCLUSION: Spirometry revealed little change in the prevalence of any obstructive and restrictive impairment in lung function during 2007-2010, compared with 1988-1994.

INTRODUCTION: Public health and clinical strategies for meeting the emerging challenges of multiple chronic conditions must address the high prevalence of lifestyle-related causes. Our objective was to assess prevalence and trends in the chronic conditions that are leading causes of disease and death among adults in the United States that are amenable to preventive lifestyle interventions. METHODS: We used self-reported data from 196,240 adults aged 25 years or older who participated in the National Health Interview Surveys from 2002 to 2009. We included data on cardiovascular disease (coronary heart disease, angina pectoris, heart attack, and stroke), cancer, chronic obstructive pulmonary disease (emphysema and chronic bronchitis), diabetes, and arthritis. RESULTS: In 2002, an unadjusted 63.6% of participants did not have any of the 5 chronic conditions we assessed; 23.9% had 1, 9.0% had 2, 2.9% had 3, and 0.7% had 4 or 5. By 2009, the distribution of co-occurrence of the 5 chronic conditions had shifted subtly but significantly. From 2002 to 2009, the age-adjusted percentage with 2 or more chronic conditions increased from 12.7% to 14.7% (P < .001), and the number of adults with 2 or more conditions increased from approximately 23.4 million to 30.9 million. CONCLUSION: The prevalence of having 1 or more or 2 or more of the leading lifestyle-related chronic conditions increased steadily from 2002 to 2009. If these increases continue, particularly among younger adults, managing patients with multiple chronic conditions in the aging population will continue to challenge public health and clinical practice.

Chronic diseases such as heart disease, cancer, stroke, and diabetes account for 7 of the 10 leading causes of death in the United States each year, and they are leading causes of disability and impaired health related quality of life.1 Yet, these conditions and the risk factors and behaviors related to them—e.g., tobacco use, high blood pressure and cholesterol, obesity, physical inactivity, unhealthy diets—are largely preventable. We know much about the development of chronic diseases and what must be done to prevent them or at the very least greatly lower risk. To achieve greater health impact, more effective translation of prevention science into action and practice is urgently needed. | The Prevention Research Centers (PRC) program (www.cdc.gov/prc/index.htm) of the Centers for Disease Control and Prevention (CDC) provides an important role in the application, evaluation, and translation of public health research into practice.2 The thirty-seven PRCs, which are community-based academic research centers, conduct both formal and applied prevention research that assess interventions (individual based as well as broader policy or environmental level) for application to communities and scalability for public health impact. The PRCs assess and disseminate effective approaches, translate research into public health practice, evaluate the impact of interventions, and develop and deliver training programs.

OBJECTIVES: To determine the optimum strategy for increasing up-to-date (UTD) levels in older Americans, while reducing disparities between White, Black, and Hispanic adults, aged 65 years and older. METHODS: Data were analyzed from the 2008 Behavioral Risk Factor Surveillance System, quantifying the proportion of older Americans UTD with influenza and pneumococcal vaccinations, mammograms, Papanicolaou tests, and colorectal cancer screening. A comparison of projected changes in UTD levels and disparities was ascertained by numerically accounting for UTD adults lacking 1 or more clinical preventive services (CPS). Analyses were performed by gender and race/ethnicity. RESULTS: Expanded provision of specific vaccinations and screenings each increased UTD levels. When those needing only vaccinations were immunized, there was a projected decrease in racial/ethnic disparities in UTD levels (2.3%-12.2%). When those needing only colorectal cancer screening, mammography, or Papanicolaou test were screened, there was an increase in UTD disparities (1.6%-4.5%). CONCLUSIONS: A primary care and public health focus on adult immunizations, in addition to other CPS, offers an effective strategy to reduce disparities while improving UTD levels. (Am J Public Health. Published online ahead of print June 14, 2012: e1-e7. doi:10.2105/AJPH.2012.300701).

PURPOSE: Epidemiologists have long contributed to policy efforts to address health disparities. Three examples illustrate how epidemiologists have addressed health disparities in the United States and abroad through a "social determinants of health" lens. METHODS: To identify examples of how epidemiologic research has been applied to reduce health disparities, we queried epidemiologists engaged in disparities research in the United States, Canada, and New Zealand, and drew upon the scientific literature. RESULTS: Resulting examples covered a wide range of topic areas. Three areas selected for their contributions to policy were: (1) epidemiology's role in definition and measurement, (2) the study of housing and asthma, and (3) the study of food policy strategies to reduce health disparities. Although epidemiologic research has done much to define and quantify health inequalities, it has generally been less successful at producing evidence that would identify targets for health equity intervention. Epidemiologists have a role to play in measurement and basic surveillance, etiologic research, intervention research, and evaluation research. However, our training and funding sources generally place greatest emphasis on surveillance and etiologic research. CONCLUSIONS: The complexity of health disparities requires better training for epidemiologists to effectively work in multidisciplinary teams. Together we can evaluate contextual and multilevel contributions to disease and study intervention programs to gain better insights into evidenced-based health equity strategies.

The burden of preventable chronic diseases is straining our nation's health and economy. Diseases caused by obesity and tobacco use account for the largest portions of this preventable burden. CDC funded 50 communities in 2010 to implement policy, systems, and environmental (PSE) interventions in a 2-year initiative. Funded communities developed PSE plans to reduce obesity, tobacco use, and second-hand smoke exposure for their combined 55 million residents. Community outcome objectives and milestones were categorized by PSE interventions as they related to media, access, promotion, pricing, and social support. Communities estimated population reach based on their jurisdiction's census data and target populations. The average proportion of each community's population that was reached was calculated for each intervention category. Outcome objectives that were achieved within 12 months of program initiation were identified from routine program records. The average proportion of a community's jurisdictional population reached by a specific intervention varied across interventions. Mean population reach for obesity-prevention interventions was estimated at 35%, with 14 (26%) interventions covering over 50% of the jurisdictional populations. For tobacco prevention, mean population reach was estimated at 67%, with 16 (84%) interventions covering more than 50% of the jurisdictional populations. Within 12 months, communities advanced over one-third of their obesity and tobacco-use prevention strategies. Tobacco interventions appeared to have higher potential population reach than obesity interventions within this initiative. Findings on the progress and potential reach of this major initiative may help inform future chronic disease prevention efforts.

OBJECTIVE: People with type 2 diabetes may need insulin therapy to compensate for their underlying pathogenic abnormalities and to improve glycemic control. We examined trends of insulin use among US adults aged ≥40 years with type 2 diabetes. METHODS: We analyzed data from the Behavioral Risk Factor Surveillance System collected annually during 1995-2007. Insulin use was assessed by self-report. Log-linear regression analyses with a robust error variance estimator were performed to estimate the prevalence, prevalence ratios, and their 95% confidence intervals. RESULTS: The overall crude and age-standardized proportion of insulin use decreased from 35% and 36% in 1995 to 23% and 22% in 2007, respectively. After adjustments for age, sex, race/ethnicity, education attainment, body mass index, and diabetes duration, the overall prevalence decreased from 33% to 22% (P<.0001 for linear trend). The decreasing rates were similar across sex (P=.23 for interaction between sex and survey year) and race/ethnicity (P=.35 for interaction between race/ethnicity and survey year). CONCLUSION: The proportion of insulin use decreased from 1995 to 2007 among US adults aged ≥40 years. Continuing efforts may be needed to properly identify those who may need to initiate and maintain insulin therapy among patients with type 2 diabetes as medically indicated.

INTRODUCTION: Although differences in heart failure (HF) hospitalization rates by race and sex are well documented, little is known about geographic variations in hospitalizations for HF, the most common discharge diagnosis for Medicare beneficiaries. METHODS: Using exploratory spatial data analysis techniques, the authors examined hospitalization rates for HF as the first-listed discharge diagnosis among Medicare beneficiaries in a 10-state Tennessee catchment area, based on the resident states reported by Tennessee hospitals from 2000 to 2004. RESULTS: The age-adjusted HF hospitalization rate (per 1000) among Medicare beneficiaries was 23.3 [95% confidence interval (CI), 23.3-23.4] for the Tennessee catchment area, 21.4 (95% CI, 21.4-21.5) outside the catchment area and 21.9 (95% CI, 21.9-22.0) for the overall United States. The age-adjusted HF hospitalization rates were also significantly higher in the catchment area than outside the catchment area and overall, among men, women and whites, whereas rates among the blacks were higher outside the catchment area. Beneficiaries in the catchment area also had higher age-specific HF hospitalization rates. Among states in the catchment area, the highest mean county-level rates were in Mississippi (30.6 +/- 7.6) and Kentucky (29.2 +/- 11.5), and the lowest were in North Carolina (21.7 +/- 5.7) and Virginia (21.8 +/- 6.6). CONCLUSIONS: Knowledge of these geographic differences in HF hospitalization rates can be useful in identifying needs of healthcare providers, allocating resources, developing comprehensive HF outreach programs and formulating policies to reduce these differences.

BACKGROUND: Much research has been conducted relating total carotenoids-and beta-carotene in particular-to risk of cancer and cardiovascular disease (CVD). Limited data are emerging to implicate the important role of alpha-carotene in the development of CVD or cancer. METHODS: We assessed the direct relationship between alpha-carotene concentrations and risk of death among 15,318 US adults 20 years and older who participated in the Third National Health and Nutrition Examination Survey Follow-up Study. We used Cox proportional hazard regression analyses to estimate the relative risk for death from all causes and selected causes associated with serum alpha-carotene concentrations. RESULTS: Compared with participants with serum alpha-carotene concentrations of 0 to 1 mug/dL (to convert to micromoles per liter, multiply by 0.01863), those with higher serum levels had a lower risk of death from all causes (P < .001 for linear trend): the relative risk for death was 0.77 (95% confidence interval, 0.68-0.87) among those with alpha-carotene concentrations of 2 to 3 mug/dL, 0.73 (0.65-0.83) among those with concentrations of 4 to 5 mug/dL, 0.66 (0.55-0.79) among those with concentrations of 6 to 8 mug/dL, and 0.61 (0.51-0.73) among those with concentrations of 9 mug/dL or higher after adjustment for potential confounding variables. We also found significant associations between serum alpha-carotene concentrations and risk of death from CVD (P = .007), cancer (P = .02), and all other causes (P < .001). The association between serum alpha-carotene concentrations and risk of death from all causes was significant in most subgroups stratified by demographic characteristics, lifestyle habits, and health risk factors. CONCLUSIONS: Serum alpha-carotene concentrations were inversely associated with risk of death from all causes, CVD, cancer, and all other causes. These findings support increasing fruit and vegetable consumption as a means of preventing premature death.

In 2002, the US Institute of Medicine (IOM) reached the conclusion ‘Disparities in health care are one of the nation's most serious health care problems. Research has extensively documented the pervasiveness of racial and ethnic disparities.’1 | The disparities noted by the IOM are widespread. In the US, deaths from heart disease are 30% higher among African-Americans than Caucasians, and deaths from stroke are 40% higher among African-Americans than Caucasians. The incidence of diabetes is 2.3 times higher among American-Indian Alaska Natives, 1.6 times higher among African-Americans, and 1.5 times higher among Hispanics when compared with Caucasians. The rate of cervical cancer is five times higher in Vietnamese women than Caucasian women. Finally, the rate of infant mortality (death within the first 12 months of age) is 2.5 times higher in African-Americans than in Caucasians. | While these statistics may seem disturbing, the fact that these disparities are not new is even more disturbing. In fact, WEB Dubois documented alarming disparities between African-Americans and Caucasians in 1899 when he wrote The Philadelphia Negro. Dubois noted alarmingly high rates of cancer, heart disease and stroke among African-Americans residing in Philadelphia. In 1899, Dubois called for the elimination of health disparities with the statement: ‘We must endeavor to eliminate, so far as possible, the problem elements which make a difference in health among people’.2

BACKGROUND: Microalbuminuria, a biomarker of endothelial dysfunction, is associated with increased cardiovascular, renal, and cerebrovascular morbidity and mortality, especially among ethnic minorities. METHODS: A total of 16,567 adults in the National Health and Nutrition Examination Survey (NHANES) from 1999 through 2006 were categorized according to JNC 7 blood pressure (BP) definitions. Microalbuminuria was defined as spot urinary albumin/creatinine ratio (ACR) of 30-299 mg/g. Logistic regression estimated the odds of having microalbuminuria among BP categories compared with normal BP after adjusting for age, race/ethnicity, sex, education level, smoking status, body mass index (BMI), systolic BP, and diabetes. RESULTS: Prevalence of microalbuminuria was 4.5% for normal BP, 6.3% for prehypertension, 12.4% for stage 1 hypertension, 25.3% for stage 2 hypertension, and 11.3% among those with treated, controlled hypertension. Compared with participants with normal BP, the adjusted odds ratios and 95% confidence intervals (CIs) for microalbuminuria were 1.3 (1.0-1.7, P = 0.03) for those with prehypertension, 2.3 (1.8-3.0, P < 0.01) with stage 1 hypertension, 4.8 (3.7-6.3 P < 0.01) with stage 2 hypertension, and 1.6 (1.3-2.1, P < 0.01) with treated, controlled hypertension. The treated controlled hypertension group exhibited the strongest race-ethnicity gradient. CONCLUSIONS: Participants with hypertension and prehypertension had a higher likelihood of microalbuminuria than those with normal BP, especially ethnic minorities, suggesting greater target organ damage. Our observations suggest that further research is necessary to determine whether microalbuminuria can be used as a screening tool in adults with prehypertension, to identify adults at highest risk for cardiovascular disease or decline in renal function.American Journal of Hypertension 2010; doi:10.1038/ajh.2010.77.

PURPOSE: Although occupational factors have been associated with symptomatic ischemic heart disease, associations between job strain (low decision latitude and high psychological demands) and risk for subclinical atherosclerosis measured by coronary artery calcium (CAC) have not been assessed. METHODS: CAC was measured in 3695 participants in the Coronary Artery Risk Development in Young Adults study in 2000 to 2001 and 2005 to 2006. Job characteristics measured by the demand-control model (psychological demands and decision latitude) were assessed in 1987 to 1988 and in 1995 to 1996. Associations between non-zero CAC and previous job characteristics and occupation were assessed, adjusting for potential covariates. RESULTS: Low decision latitude, high psychological demands, and job strain at either earlier examination were not associated with a positive CAC, nor were changes in the status of these job characteristics between 1987/1988 and 1995/1996. However, participants whose jobs were classified as managerial or professional in 1995/1996 were less likely to have a positive CAC than those in laborer occupations. CONCLUSIONS: Job strain measured at two earlier time points was not related to the presence of CAC at follow-up 5 to 18 years later. The association between earlier occupation and CAC may reflect socioeconomic differences or other occupational, industrial, or labor market characteristics.

Objective - We sought to assess the associations of testosterones and sex hormone-binding globulin (SHBG) with metabolic syndrome and insulin resistance in men. Research Design and Methods - We defined metabolic syndrome according to the National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Among men aged ≥20 years who participated in the Third National Health and Nutrition Examination Survey (n=1,226), the Cox proportional hazard model was used to estimate the prevalence ratio (PR) and 95% confidence interval (CI) of metabolic syndrome according to circulating concentrations of testosterones and SHBG. Results - After adjustment for age, race/ethnicity, smoking status, alcohol intake, physical activity level, low-density lipoprotein cholesterol, C-reactive protein, and insulin resistance, men in the first quartile (lowest) (PR, 2.16; 95% CI, 1.53-3.06) and second quartile of total testosterone (PR, 2.51; 95% CI, 1.86-3.37) were more likely to have metabolic syndrome than men in the fourth quartile (highest, reference group) (P <0.001 for linear trend). Similarly, men in the first quartile of SHBG (PR, 2.17; 95% CI, 1.32-3.56) were more likely to have metabolic syndrome than men in the fourth quartile (P=0.02 for linear trend). No significant associations of calculated free testosterone (P=0.31 for linear trend) and bioavailable testosterone (P=0.11 for linear trend) with metabolic syndrome were detected after adjustment for all possible confounders. Conclusions - Low concentrations of total testosterone and SHBG were strongly associated with increased likelihood of having metabolic syndrome, independent of traditional cardiovascular risk factors and insulin resistance.

OBJECTIVES: We examined trends in smoking prevalence from 2002 through 2006 in 4 Asian communities served by the Racial and Ethnic Approaches to Community Health (REACH) intervention. METHODS: Annual survey data from 2002 through 2006 were gathered in 4 REACH Asian communities. Trends in the age-standardized prevalence of current smoking for men in 2 Vietnamese communities, 1 Cambodian community, and 1 Asian American/Pacific Islander (API) community were examined and compared with nationwide US and state-specific data from the Behavioral Risk Factor Surveillance System. RESULTS: Prevalence of current smoking decreased dramatically among men in REACH communities. The reduction rate was significantly greater than that observed in the general US or API male population, and it was greater than reduction rates observed in the states in which REACH communities were located. There was little change in the quit ratio of men at the state and national levels, but there was a significant increase in quit ratios in the REACH communities, indicating increases in the proportions of smokers who had quit smoking. CONCLUSIONS: Smoking prevalence decreased in Asian communities served by the REACH project, and these decreases were larger than nationwide decreases in smoking prevalence observed for the same period. However, disparities in smoking prevalence remain a concern among Cambodian men and non-English-speaking Vietnamese men; these subgroups continue to smoke at a higher rate than do men nationwide.

Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death in the United States and a major cause of morbidity and disability. To update national estimates and examine trends for hospitalization with COPD between 1990 and 2005, we analyzed data from the National Hospital Discharge Survey (NHDS). The results indicated that an estimated 715,000 hospitalizations with COPD, or 23.6 per 10,000 population, occurred during 2005, an increase in the number and the rate of COPD hospitalizations since 1990 (370,000 hospitalizations; rate = 15.9 per 10,000 population). To reverse increases in the number of COPD hospitalizations and decrease the burden of COPD, public health programs should continue focused efforts to reduce total personal exposure to tobacco smoke, including passive smoke exposure; to occupational dusts and chemicals; and to other indoor and outdoor air pollutants linked to COPD.

BACKGROUND: Strong, graded relationships between exposure to childhood traumatic stressors and numerous negative health behaviors and outcomes, healthcare utilization, and overall health status inspired the question of whether these adverse childhood experiences (ACEs) are associated with premature death during adulthood. PURPOSE: This study aims to determine whether ACEs are associated with an increased risk of premature death during adulthood. METHODS: Baseline survey data on health behaviors, health status, and exposure to ACEs were collected from 17,337 adults aged >18 years during 1995-1997. The ACEs included abuse (emotional, physical, sexual); witnessing domestic violence; parental separation or divorce; and growing up in a household where members were mentally ill, substance abusers, or sent to prison. The ACE score (an integer count of the eight categories of ACEs) was used as a measure of cumulative exposure to traumatic stress during childhood. Deaths were identified during follow-up assessments (between baseline appointment date and December 31, 2006) using mortality records obtained from a search of the National Death Index. Expected years of life lost (YLL) and years of potential life lost (YPLL) were computed using standard methods. The relative risk of death from all causes at age < or =65 years and at age < or =75 years was estimated across the number of categories of ACEs using multivariable-adjusted Cox proportional hazards regression. Analysis was conducted during January-February 2009. RESULTS: Overall, 1539 people died during follow-up; the crude death rate was 91.0 per 1000; the age-adjusted rate was 54.7 per 1000. People with six or more ACEs died nearly 20 years earlier on average than those without ACEs (60.6 years, 95% CI=56.2, 65.1, vs 79.1 years, 95% CI=78.4, 79.9). Average YLL per death was nearly three times greater among people with six or more ACEs (25.2 years) than those without ACEs (9.2 years). Roughly one third (n=526) of those who died during follow-up were aged < or =75 years at the time of death, accounting for 4792 YPLL. After multivariable adjustment, adults with six or more ACEs were 1.7 (95% CI=1.06, 2.83) times more likely to die when aged < or =75 years and 2.4 (95% CI=1.30, 4.39) times more likely to die when aged < or =65 years. CONCLUSIONS: ACEs are associated with an increased risk of premature death, although a graded increase in the risk of premature death was not observed across the number of categories of ACEs. The increase in risk was only partly explained by documented ACE-related health and social problems, suggesting other possible mechanisms by which ACEs may contribute to premature death.

BACKGROUND: Little is known about the distributions of percentage body fat (PBF), total body fat (TBF), and fat-free mass (FFM) in the adult population in the United States. OBJECTIVES: We sought to estimate the means and percentile cutoffs of PBF, TBF, and FFM and to assess the differences by sex, age, race-ethnicity, and body mass index in US adults. DESIGN: Data from the National Health and Nutrition Examination Survey, which were collected during the 6-y period from 1999 to 2004 and comprise a large nationally representative sample of the US population, were analyzed (n = 6559 men and 6507 nonpregnant women). TBF and FFM were measured by using dual-energy X-ray absorptiometry. PBF was calculated as TBF divided by total mass multiplied by 100. RESULTS: There were large differences between men and women in unadjusted mean PBF (28.1% compared with 40.0%, P < 0.001), TBF (25.4 compared with 30.8 kg, P < 0.001), and FFM (62.3 compared with 44.0 kg, P < 0.001); the sex differences persisted across all body mass index categories after adjustment for age and race-ethnicity (all P < 0.001). The common percentile cutoffs of PBF, TBF, and FFM were estimated by sex, race-ethnicity, and age groups. Equations for the estimation of PBF (R(2) = 0.85), TBF (R(2) = 0.94), and FFM (R(2) = 0.94) according to demographic characteristics and simple anthropometric measures were generated. CONCLUSION: The estimates of means and percentile cutoffs for PBF, TBF, and FFM, on the basis of National Health and Nutrition Examination Survey 1999-2004 dual-energy X-ray absorptiometry data, provide a reference in the US adult population.