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.

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.

BACKGROUND The Whole Child approach and the coordinated school health (CSH) approach both address the physical and emotional needs of students. However, a unified approach acceptable to both the health and education communities is needed to assure that students are healthy and ready to learn. METHODS During spring 2013, the ASCD (formerly known as the Association for Supervision and Curriculum Development) and the US Centers for Disease Control and Prevention (CDC) convened experts from the field of education and health to discuss lessons learned from implementation of the CSH and Whole Child approaches and to explore the development of a new model that would incorporate the knowledge gained through implementation to date. RESULTS As a result of multiple discussions and review, the Whole School, Whole Community, Whole Child (WSCC) approach was developed. The WSCC approach builds upon the traditional CSH model and ASCD's Whole Child approach to learning and promotes greater alignment between health and educational outcomes. CONCLUSION By focusing on children and youth as students, addressing critical education and health outcomes, organizing collaborative actions and initiatives that support students, and strongly engaging community resources, the WSCC approach offers important opportunities that will improve educational attainment and healthy development for students.

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.

BACKGROUND:COPD remains a leading cause of morbidity and mortality. The objectives of this study were to estimate (1) national US COPD-attributable annual medical costs by payer (direct) and absenteeism (indirect) in 2010 and projected medical costs through 2020 and (2) state-specific COPD-attributable medical and absenteeism costs in 2010.METHODS:We used the 2006-2010 Medical Expenditure Panel Survey, the 2004 National Nursing Home Survey, and 2010 Centers for Medicare and Medicaid Services data to generate cost estimates and 2010 census data to project medical costs through 2020.RESULTS:In 2010, total national medical costs attributable to COPD and its sequelae were estimated at $32.1 billion, and total absenteeism costs were $3.9 billion, for a total burden of COPD-attributable costs of $36 billion. An estimated 16.4 million days of work were lost because of COPD. Of the medical costs, 18% was paid for by private insurance, 51% by Medicare, and 25% by Medicaid. National medical costs are projected to increase from $32.1 billion in 2010 to $49.0 billion in 2020. Total state-specific costs in 2010 ranged from $49.1 million in Wyoming to $2.8 billion in California: medical costs ranged from $42.5 million in Alaska to $2.5 billion in Florida and absenteeism costs ranged from $8.4 million in Wyoming to $434.0 million in California.CONCLUSIONS:Costs attributable to COPD and its sequelae are substantial and are projected to increase through 2020. Evidence-based interventions that prevent tobacco use and reduce the clinical complications of COPD may result in potential decreased COPD-attributable costs.

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<.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<.001), Hispanics (P=.038), Asian/Pacific Islanders (P<.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.

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 In 1999, the US Federal Government launched the REACH (Racial and Ethnic Approaches to Community Health) Program.3 This program, while headed by the Centers for Disease Control and Prevention (CDC), had a number of federal and private sector partners who were instrumental in guiding it. These partners included the Offices of Minority Health, Public Health Science, and the Assistance Secretary for Program Planning and Evaluation from the Department of Health and Human Services. Other partners included the Office of Minority Health and Health Disparities at the National Institutes of Health, the Administration on Aging, the California Endowment, and the Society for Public Health Education. Without the advice, guidance, and partnership of these influential organizations, the REACH program would not have been as successful as it has been.

Epilepsy can be a life-altering chronic condition for many people with this disorder. The primary symptom of epilepsy—seizures—can occur unpredictably, despite diligent medication adherence, and can result in a number of negative consequences, such as disruptions at work or school, loss of employment, loss of driving privileges and independence, and personal embarrassment. The underlying pathophysiology of epilepsy and its treatments can result in cognitive difficulties that can impact personal relationships and daily activities. When people with epilepsy internalize these challenges and the ambivalence or discomfort that the general public conveys about epilepsy, this adds to feelings of social isolation, dissatisfaction with life, and depression. Many find that just getting by every day is difficult, whereas for others, planning for the future is downright discouraging. “If you don't feel like you're in control of your life, you're going to have issues. And when you're not in control of your body, that really magnifies everything.... There's nothing I can do. I can't work. I can't ride the bus. I shouldn't cook.” This comment from a participant in an epilepsy study, captured by University of Michigan researchers involved with the Centers for Disease Control and Prevention (CDC) Managing Epilepsy Well Network, expresses the perceived challenges and negative impact of epilepsy on quality of life [ [1] Center for Managing Chronic Disease, University of Michigan. Key informants’ perspectives on managing epilepsy report. Retrieved: 16 July 2010. Available at: http://www.sph.emory.edu/ManagingEpilepsyWell/documents/reports/Key_Informants_Perspectives_on_Managing_Epilepsy_v5.pdf. Google Scholar ].

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 and Purpose— Higher risk and burden of stroke have been observed within the southeastern states (the Stroke Belt) compared with elsewhere in the United States. We examined reasons for these disparities using a large data set from a nationwide cross-sectional study. Methods— Self-reported data from the 2005 and 2007 Behavioral Risk Factor Surveillance System were used (n=765 368). The potential contributors for self-reported stroke prevalence (n=27 962) were demographics (age, sex, geography, and race/ethnicity), socioeconomic status (education and income), common risk factors (smoking and obesity), and chronic diseases (hypertension, diabetes, and coronary heart disease). Multivariate logistic regression was used in the analysis. Results— The age- and sex-adjusted OR comparing self-reported stroke prevalence in the 11-state Stroke Belt versus non-Stroke Belt region was 1.25 (95% CI, 1.19 to 1.31). Unequal black/white distribution by region accounted for 20% of the excess prevalence in the Stroke Belt (OR reduced to 1.20; 1.15 to 1.26). Approximately one third (32%) of the excess prevalence was accounted either by socioeconomic status alone or by risk factors and chronic disease alone (OR, 1.12). The OR was further reduced to 1.07 (1.02 to 1.13) in the fully adjusted logistic model, a 72% reduction. Conclusions– Differences in socioeconomic status, risk factors, and prevalence of common chronic diseases account for most of the regional differences in stroke prevalence.

Background Highly controlled research projects demonstrated success in preventing and controlling cardiovascular diseases. Community-based programs have yet to demonstrate significant influence. Data on large-scale community-level interventions targeting minority communities are limited. The aim of this study is to measure the impact of the Racial and Ethnic Approaches to Community Health ( REACH 2010) project, a community-based intervention to eliminate racial/ethnic disparities in blood cholesterol screening in minority communities.Methods Annual survey data from 2001 to 2006 were gathered in 22 communities. Trends in the prevalence of age-standardised blood cholesterol screening were examined for four racial/ethnic groups ( black, Hispanic, Asian and American Indian/Alaska Native), stratified by education level, and compared with national data from the Behavioral Risk Factor Surveillance System.Results The prevalence of cholesterol screening increased among persons in black, Hispanic and Asian REACH communities (p<0.001), whereas prevalence decreased in the total US and Hispanic populations (p<0.001) and remained similar among blacks and Asians nationwide. The relative disparity between the total US population and most REACH communities decreased (p<0.05). Relative disparity in cholesterol screening related to education level decreased (p<0.05) within REACH communities, whereas relative disparity related to education level nationwide remained similar in blacks and increased (p<0.001) in Hispanics.Conclusion The REACH project decreased racial and ethnic disparities in cholesterol screening between REACH communities and the total US population, as well as disparities related to education level within REACH communities.

Background and Purpose— Although cigarette smoking is known to be a risk factor for ischemic stroke, there are few data on the dose-response relationship between smoking and stroke risk in a young ethnically diverse population. Methods— We used data from the Stroke Prevention in Young Women Study, a population-based case-control study of risk factors for ischemic stroke in women aged 15 to 49 years to examine the relationship between cigarette smoking and ischemic stroke. Historical data, including smoking history, was obtained through standardized interviews. Odds ratios (OR) were estimated using logistic regression. Cases (n=466) were women with stroke in the greater Baltimore-Washington area, and controls (n=604) were women free of a stroke history identified by random digit dialing. Results— After multivariable adjustment, the OR comparing current smokers to never smokers was 2.6 ( P <0.0001); no difference in stroke risk was observed between former smokers and never smokers. Adjusted OR increased with increasing number of cigarettes smoked per day (OR=2.2 for 1 to 10 cigs/d; 2.5 for 11 to 20 cigs/d; 4.3 for 21 to 39 cigs/d; 9.1 for 40 or more cigs/d). Conclusion— These results suggest a strong dose-response relationship between cigarette smoking and ischemic stroke risk in young women and reinforce the need for aggressive smoking cessation efforts in young adults.

BACKGROUNDMortality from coronary heart disease in the United States has decreased substantially in recent decades. We conducted a study to determine how much of this decrease could be explained by the use of medical and surgical treatments as opposed to changes in cardiovascular risk factors.METHODSWe applied a previously validated statistical model, IMPACT, to data on the use and effectiveness of specific cardiac treatments and on changes in risk factors between 1980 and 2000 among U.S. adults 25 to 84 years old. The difference between the observed and expected number of deaths from coronary heart disease in 2000 was distributed among the treatments and risk factors included in the analyses.RESULTSFrom 1980 through 2000, the age-adjusted death rate for coronary heart disease fell from 542.9 to 266.8 deaths per 100,000 population among men and from 263.3 to 134.4 deaths per 100,000 population among women, resulting in 341,745 fewer deaths from coronary heart disease in 2000. Approximately 47% of this decrease was attributed to treatments, including secondary preventive therapies after myocardial infarction or revascularization (11%), initial treatments for acute myocardial infarction or unstable angina (10%), treatments for heart failure (9%), revascularization for chronic angina (5%), and other therapies (12%). Approximately 44% was attributed to changes in risk factors, including reductions in total cholesterol (24%), systolic blood pressure (20%), smoking prevalence (12%), and physical inactivity (5%), although these reductions were partially offset by increases in the body-mass index and the prevalence of diabetes, which accounted for an increased number of deaths (8% and 10%, respectively).CONCLUSIONSApproximately half the decline in U.S. deaths from coronary heart disease from 1980 through 2000 may be attributable to reductions in major risk factors and approximately half to evidence-based medical therapies.

An association between polymorphisms within the phosphodiesterase 4D gene (PDE4D) and ischemic stroke was initially reported in older adults from Iceland and has been supported by studies in several other primarily elderly populations. In the present study, we examined the association between PDE4D polymorphisms and early-onset ischemic stroke in a biracial female population. A systematic search for polymorphisms in the highly evolutionary conserved regions of PDE4D was performed on 48 African-American and 48 Caucasian participants. Novel and known polymorphisms were then prioritized and genotyped in the entire study population of 224 cases of first ischemic stroke among women aged 15-49 and 211 age- and ethnicity-balanced control subjects. Forty novel and previously reported polymorphisms with a minor allele frequency greater than 0.05 were determined, with 23 polymorphisms selected for analysis in the full case-control sample. Single nucleotide polymorphism (SNP), linkage disequilibrium and haplotype analyses were performed. SNP rs918592, found in an intron near the 5' end of the gene, was significantly associated with stroke (age- and race-adjusted odds ratio (OR=1.5, P=0.007), with four other SNPs showing significant, albeit less strong, associations. The magnitude of association was similar across African-Americans and Caucasians and across multiple stroke subtypes (e.g. atherosclerotic, lacunar and non-lacunar of undetermined etiology). The association of rs918592 with stroke was confined exclusively to current smokers (OR=3.2, P=0.00014), with no association observed among never-smokers (OR=0.9, P=0.75) or former smokers (OR=1.2, P=0.66), demonstrating a gene-environment interaction (P=0.03). A strong dose-response relationship was also seen among current smokers. No specific risk haplotypes were identified.