Summary of Guidance for Public Health Strategies to Address High Levels of Community Transmission of SARS-CoV-2 and Related Deaths, December 2020.

In the 10 months since the first confirmed case of coronavirus disease 2019 (COVID-19) was reported in the United States on January 20, 2020 (1), approximately 13.8 million cases and 272,525 deaths have been reported in the United States. On October 30, the number of new cases reported in the United States in a single day exceeded 100,000 for the first time, and by December 2 had reached a daily high of 196,227.* With colder weather, more time spent indoors, the ongoing U.S. holiday season, and silent spread of disease, with approximately 50% of transmission from asymptomatic persons (2), the United States has entered a phase of high-level transmission where a multipronged approach to implementing all evidence-based public health strategies at both the individual and community levels is essential. This summary guidance highlights critical evidence-based CDC recommendations and sustainable strategies to reduce COVID-19 transmission. These strategies include 1) universal face mask use, 2) maintaining physical distance from other persons and limiting in-person contacts, 3) avoiding nonessential indoor spaces and crowded outdoor spaces, 4) increasing testing to rapidly identify and isolate infected persons, 5) promptly identifying, quarantining, and testing close contacts of persons with known COVID-19, 6) safeguarding persons most at risk for severe illness or death from infection with SARS-CoV-2, the virus that causes COVID-19, 7) protecting essential workers with provision of adequate personal protective equipment and safe work practices, 8) postponing travel, 9) increasing room air ventilation and enhancing hand hygiene and environmental disinfection, and 10) achieving widespread availability and high community coverage with effective COVID-19 vaccines. In combination, these strategies can reduce SARS-CoV-2 transmission, long-term sequelae or disability, and death, and mitigate the pandemic's economic impact. Consistent implementation of these strategies improves health equity, preserves health care capacity, maintains the function of essential businesses, and supports the availability of in-person instruction for kindergarten through grade 12 schools and preschool. Individual persons, households, and communities should take these actions now to reduce SARS-CoV-2 transmission from its current high level. These actions will provide a bridge to a future with wide availability and high community coverage of effective vaccines, when safe return to more everyday activities in a range of settings will be possible.

Evaluation of Syndromic Surveillance Systems in 6 US State and Local Health Departments.

OBJECTIVE: Evaluating public health surveillance systems is critical to ensuring that conditions of public health importance are appropriately monitored. Our objectives were to qualitatively evaluate 6 state and local health departments that were early adopters of syndromic surveillance in order to (1) understand the characteristics and current uses, (2) identify the most and least useful syndromes to monitor, (3) gauge the utility for early warning and outbreak detection, and (4) assess how syndromic surveillance impacted their daily decision making. DESIGN: We adapted evaluation guidelines from the Centers for Disease Control and Prevention and gathered input from the Centers for Disease Control and Prevention subject matter experts in public health surveillance to develop a questionnaire. PARTICIPANTS: We interviewed staff members from a convenience sample of 6 local and state health departments with syndromic surveillance programs that had been in operation for more than 10 years. RESULTS: Three of the 6 interviewees provided an example of using syndromic surveillance to identify an outbreak (ie, cluster of foodborne illness in 1 jurisdiction) or detect a surge in cases for seasonal conditions (eg, influenza in 2 jurisdictions) prior to traditional, disease-specific systems. Although all interviewees noted that syndromic surveillance has not been routinely useful or efficient for early outbreak detection or case finding in their jurisdictions, all agreed that the information can be used to improve their understanding of dynamic disease control environments and conditions (eg, situational awareness) in their communities. CONCLUSION: In the jurisdictions studied, syndromic surveillance may be useful for monitoring the spread and intensity of large outbreaks of disease, especially influenza; enhancing public health awareness of mass gatherings and natural disasters; and assessing new, otherwise unmonitored conditions when real-time alternatives are unavailable. Future studies should explore opportunities to strengthen syndromic surveillance by including broader access to and enhanced analysis of text-related data from electronic health records. Health departments may accelerate the development and use of syndromic surveillance systems, including the improvement of the predictive value and strengthening the early outbreak detection capability of these systems. These efforts support getting the right information to the right people at the right time, which is the overarching goal of CDC's Surveillance Strategy.

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

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.

Differences in healthy life expectancy for the US population by sex, race/ethnicity and geographic region: 2008.

BACKGROUND: Healthy life expectancy (HLE) varies among demographic segments of the US population and by geography. To quantify that variation, we estimated the national and regional HLE for the US population by sex, race/ethnicity and geographic region in 2008. METHODS: National HLEs were calculated using the published 2008 life table and the self-reported health status data from the National Health Interview Survey (NHIS). Regional HLEs were calculated using the combined 2007-09 mortality, population and NHIS health status data. RESULTS: In 2008, HLE in the USA varied significantly by sex, race/ethnicity and geographical regions. At 25 years of age, HLE for females was 47.3 years and ∼2.9 years greater than that for males at 44.4 years. HLE for non-Hispanic white adults was 2.6 years greater than that for Hispanic adults and 7.8 years greater than that for non-Hispanic black adults. By region, the Northeast had the longest HLE and the South had the shortest. CONCLUSIONS: The HLE estimates in this report can be used to monitor trends in the health of populations, compare estimates across populations and identify health inequalities that require attention.

Potentially preventable deaths from the five leading causes of death--United States, 2008-2010.

In 2010, the top five causes of death in the United States were 1) diseases of the heart, 2) cancer, 3) chronic lower respiratory diseases, 4) cerebrovascular diseases (stroke), and 5) unintentional injuries. The rates of death from each cause vary greatly across the 50 states and the District of Columbia (2). An understanding of state differences in death rates for the leading causes might help state health officials establish disease prevention goals, priorities, and strategies. States with lower death rates can be used as benchmarks for setting achievable goals and calculating the number of deaths that might be prevented in states with higher rates. To determine the number of premature annual deaths for the five leading causes of death that potentially could be prevented ("potentially preventable deaths"), CDC analyzed National Vital Statistics System mortality data from 2008-2010. The number of annual potentially preventable deaths per state before age 80 years was determined by comparing the number of expected deaths (based on average death rates for the three states with the lowest rates for each cause) with the number of observed deaths. The results of this analysis indicate that, when considered separately, 91,757 deaths from diseases of the heart, 84,443 from cancer, 28,831 from chronic lower respiratory diseases, 16,973 from cerebrovascular diseases (stroke), and 36,836 from unintentional injuries potentially could be prevented each year. In addition, states in the Southeast had the highest number of potentially preventable deaths for each of the five leading causes. The findings provide disease-specific targets that states can use to measure their progress in preventing the leading causes of deaths in their populations.

Preventable hospitalizations for hypertension: establishing a baseline for monitoring racial differences in rates.

INTRODUCTION: Preventable hospitalization for hypertension is an ambulatory care-sensitive condition believed to indicate the failure of outpatient and public health systems to prevent and control hypertension. Blacks have higher rates of such hospitalizations than whites. The 2010 Patient Protection and Affordable Care Act (PPACA) seeks to implement higher quality health care, which may help close the racial gap in these rates. The objective of this study was to analyze pre-PPACA baseline rates of preventable hypertension hospitalizations in the United States and racial differences over time. METHODS: We used data from the 1995-2010 National Hospital Discharge Survey, a stratified, probability-designed survey representing approximately 1% of hospitalizations in the United States. Rates were calculated using specifications published by the Agency for Healthcare Research and Quality requiring census data as denominators for the rates. We combined at least 3 years of data to obtain more precise estimates and conducted a trend analysis by using rates calculated for each of the resulting 5 periods. RESULTS: For both sexes, all age groups, and each period, blacks had higher crude rates than whites. Age- and sex-standardized rates confirmed this finding (eg, 2007-2010: blacks, 334 per 100,000; whites, 97.4 per 100,000). Rates were generally flat over time; however, white women aged 65 or older showed increasing rates. CONCLUSION: Using national data, we confirmed higher rates of preventable hypertension hospitalizations for blacks, showing little improvement in disparities over time. This pre-PPACA baseline for blacks and whites allows for ongoing monitoring of preventable hospitalizations for hypertension.

Preventable hospitalizations and emergency department visits for angina, United States, 1995-2010.

INTRODUCTION: Preventable hospitalizations for angina have been decreasing since the late 1980s - most likely because of changes in guidance, physician coding practices, and reimbursement. We asked whether this national decline has continued and whether preventable emergency department visits for angina show a similar decline. METHODS: We used National Hospital Discharge Survey data from 1995 through 2010 and National Hospital Ambulatory Medical Care Survey data from 1995 through 2009 to study preventable hospitalizations and emergency department visits, respectively. We calculated both crude and standardized rates for these visits according to technical specifications published by the Agency for Healthcare Research and Quality, which uses population estimates from the US Census Bureau as the denominator for the rates. RESULTS: Crude hospitalization rates for angina declined from 1995-1998 to 2007-2010 for men and women in all 3 age groups (18-44, 45-64, and ≥65) and age- and sex-standardized rates declined in a linear fashion (P = .02). Crude rates for preventable emergency department visits for angina declined for men and women aged 65 or older from 1995-1998 to 2007-2009. Age- and sex-standardized rates for these visits showed a linear decline (P = .05). CONCLUSION: We extend previous research by showing that preventable hospitalization rates for angina have continued to decline beyond the time studied previously. We also show that emergency department visits for the same condition have also declined during the past 15 years. Although these declines are probably due to changes in diagnostic practices in the hospitals and emergency departments, more studies are needed to fully understand the reasons behind this phenomenon.

Preventable hospitalizations for congestive heart failure: establishing a baseline to monitor trends and disparities.

INTRODUCTION: Preventable hospitalization for congestive heart failure (CHF) is believed to capture the failure of the outpatient health care system to properly manage and treat CHF. In anticipation of changes in the national health care system, we report baseline rates of these hospitalizations and describe trends by race over 15 years. METHODS: We used National Hospital Discharge Survey data from 1995 through 2009, which represent approximately 1% of hospitalizations in the United States each year. We calculated age-, sex-, and race-stratified rates and age- and sex-standardized rates for preventable CHF hospitalizations on the basis of the Agency for Healthcare Research and Quality's specifications, which use civilian population estimates from the US Census Bureau as the denominator for rates. RESULTS: Approximately three-fourths of the hospitalizations occurred among people aged 65 years or older. In each subgroup and period, rates were significantly higher (P < .05) for blacks than whites. Only black men aged 18 to 44 showed a linear increase (P = .004) in crude rates across time. Subpopulations aged 65 or older, except black men, showed a linear decrease (P < .05) in crude rates over time. Age- and sex-standardized rates showed a significant linear decrease in rates for whites (P = .01) and a borderline decrease for blacks (P = .06) CONCLUSION: Before implementation of the Patient Protection and Affordable Care Act, we found that blacks were disproportionately affected by preventable CHF hospitalizations compared with whites. Our results confirm recent findings that preventable CHF hospitalization rates are declining in whites more than blacks. Alarmingly, rates for younger black men are on the rise.

Clinical preventive services for patients at risk for cardiovascular disease, National Ambulatory Medical Care Survey, 2005-2006.

INTRODUCTION: Clinical preventive services can detect diseases early, when they are most treatable, but these services may not be provided as recommended. Assessing the provision of services to patients at risk for cardiovascular disease (CVD) could help identify disparities and areas for improvement. METHODS: We used data on patient visits (n = 21,261) from the National Ambulatory Medical Care Survey, 2005-2006, and classified patients with hypertension, hyperlipidemia, obesity, or diabetes as being at risk for CVD. We assessed differences in the provision of preventive services offered to patients who were and who were not at risk for CVD. Further, for those at risk, we compared the demographic characteristics of those who had and who had not been offered services. RESULTS: Patients at risk for CVD received significantly more preventive services compared with those not at risk. For patients at risk for CVD, aspirin therapy was more likely to be recommended to those aged 65 years or older than those aged 45 to 64 years and to men than women. Cholesterol screening was more likely for men and was less likely for patients with Medicare/Medicaid or no insurance than for patients who were insured. Rates of counseling for diet and nutrition, weight reduction, and exercise were low overall, but younger patients received these services more than older patients did. CONCLUSION: Patients at risk for CVD are not all receiving the same level of preventive care, suggesting the need to clarify clinical practice guidelines and provide clinicians with education and support for more effective lifestyle counseling.

Family history in public health practice: a genomic tool for disease prevention and health promotion.

Family history is a risk factor for many chronic diseases, including cancer, cardiovascular disease, and diabetes. Professional guidelines usually include family history to assess health risk, initiate interventions, and motivate behavioral changes. The advantages of family history over other genomic tools include a lower cost, greater acceptability, and a reflection of shared genetic and environmental factors. However, the utility of family history in public health has been poorly explored. To establish family history as a public health tool, it needs to be evaluated within the ACCE framework (analytical validity; clinical validity; clinical utility; and ethical, legal, and social issues). Currently, private and public organizations are developing tools to collect standardized family histories of many diseases. Their goal is to create family history tools that have decision support capabilities and are compatible with electronic health records. These advances will help realize the potential of family history as a public health tool.

Is there an association between quality of in-hospital cardiac care and proportion of low-income patients?

BACKGROUND: Process measures have been developed and implemented to evaluate the quality of care patients receive in the hospital. This study examines whether there is an association between the quality of in-hospital cardiac care and a hospital's proportion of low-income patients. METHODS AND RESULTS: A retrospective analysis of 1979 hospitals submitting information on 12 quality of care (QoC) process measures for acute myocardial infarction (AMI) and congestive heart failure (CHF) patients to the Hospital Quality Alliance during 2005 and 2006 and meeting all study inclusion criteria. Mean hospital performance ranged from 84.2% (ACE inhibitor for left ventricular systolic dysfunction) to 95.9% (aspirin on arrival) for AMI QoC process measures and from 64.4% (discharge instructions) to 92.4% (left ventricular function assessment) for CHF QoC process measures. Regression analyses indicated a statistically significant negative association between the proportion of low-income patients and hospital performance for 10 of the 12 cardiac QoC process measures, after controlling for selected hospital characteristics. CONCLUSIONS: Hospital adherence to QoC process measures for AMI and CHF patients declined as the proportion of low-income patients increased. Future research is needed to examine the role of community characteristics and market forces on the ability of hospitals with a disproportionate share of low-income patients to maintain the staffing, equipment, and policies necessary to provide the recommended standards of care for AMI and CHF patients.

Prevalence of coronary heart disease risk factors and screening for high cholesterol levels among young adults, United States, 1999-2006.

PURPOSE: Previous studies have reported low rates of screening for high cholesterol levels among young adults in the United States. Although recommendations for screening young adults without risk factors for coronary heart disease (CHD) differ, all guidelines recommend screening adults with CHD, CHD equivalents, or 1 or more CHD risk factors. This study examined national prevalence of CHD risk factors and compliance with the cholesterol screening guidelines among young adults. METHODS: National estimates were obtained using results for 2,587 young adults (men aged 20 to 35 years; women aged 20 to 45 years) from the 1999-2006 National Health and Nutrition Examination Surveys. We defined high low-density lipoprotein cholesterol (LDL-C) as levels higher than the goal specific for each CHD risk category outlined in the National Cholesterol Education Program Adult Treatment Panel III guidelines. RESULTS: About 59% of young adults had CHD or CHD equivalents, or 1 or more of the following CHD risk factors: family history of early CHD, smoking, hypertension, or obesity. In our study, the overall screening rate in this population was less than 50%. Moreover, no significant difference in screening rates between young adults with no risk factors and their counterparts with 1 or more risk factors was found even after adjustment for sociodemographic and health care factors. Approximately 65% of young adults with CHD or CHD equivalents, 26% of young adults with 2 or more risk factors, 12% of young adults with 1 risk factor, and 7% with no risk factor had a high level of LDL-C. CONCLUSIONS: CHD risk factors are common in young adults but do not appear to alter screening rates. Improvement of risk assessment and management for cardiovascular disease among young adults is warranted.

Using family history information to promote healthy lifestyles and prevent diseases; a discussion of the evidence.

BACKGROUND: A family history, reflecting genetic susceptibility as well as shared environmental and behavioral factors, is an important risk factor for common chronic multifactorial diseases such as cardiovascular diseases, type 2 diabetes and many cancers. DISCUSSION: The purpose of the present paper is to discuss the evidence for the use of family history as a tool for primary prevention of common chronic diseases, in particular for tailored interventions aimed at promoting healthy lifestyles. The following questions are addressed: (1) What is the value of family history information as a determinant of personal disease risk?; (2)How can family history information be used to motivate at-risk individuals to adopt and maintain healthy lifestyles in order to prevent disease?; and (3) What additional studies are needed to assess the potential value of family history information as a tool to promote a healthy lifestyle? SUMMARY: In addition to risk assessment, family history information can be used to personalize health messages, which are potentially more effective in promoting healthy lifestyles than standardized health messages. More research is needed on the evidence for the effectiveness of such a tool.

The association between family history of asthma and the prevalence of asthma among US adults: National Health and Nutrition Examination Survey, 1999-2004.

PURPOSE: To assess the overall prevalence of asthma and the association between family history of asthma and the prevalence of asthma among US adults. METHODS: We analyzed National Health and Nutrition Examination Survey data from 1999 to 2004 for 15,008 respondents aged 20 years or older with no history of emphysema. We divided respondents into three familial risk groups (high, moderate, and average) on the basis of the number and closeness of relatives, that they reported as having asthma and then assessed the asthma prevalence in each. We also assessed associations between asthma prevalence and age, sex, race/ethnicity, income, body mass index, smoking status, household smoking exposure, and physical activity. RESULTS: By our definitions, 2.3% of respondents were at high, 13.0% at moderate, and 84.7% at average familial risk for asthma. The crude prevalence of self-reported lifetime asthma was 11.5% (95% confidence interval [CI]: 10.7-12.3%) among all respondents, and 37.6% (95% CI: 30.4-45.4%), 20.4% (95% CI: 18.2-22.7%), and 9.4% (95% CI: 8.7-10.2%) among those at high, moderate, and average familial risk, respectively. Among all risk factors we looked at, family history had the strongest association with lifetime asthma prevalence, and the association remained significant after adjustments for other risk factors. Compared with average familial risk, the adjusted odds ratios for lifetime asthma were 2.4 (95% CI: 2.0 -2.8) for moderate and 4.8 (95% CI: 3.5-6.7) for high familial risk. CONCLUSION: Our findings showed that a family history of asthma is an important risk factor for asthma and that familial risk assessments can help identify people at highest risk for developing asthma. Additional research is needed to assess how health care professionals can use family history information in the early detection and management of asthma.

Physical activity advice to manage chronic conditions for adults with arthritis or hypertension, 2007.

OBJECTIVE: To describe the prevalence and characteristics of persons with arthritis or hypertension who received advice from their health-care professional to manage their condition. METHODS: Data from 9 states were obtained from the 2007 Behavioral Risk Factor Surveillance System. Two modules (Arthritis Management and Actions to Control High Blood Pressure) were analyzed (sample sizes: arthritis 29,698, hypertension 29,783). RESULTS: Fifty-five percent of persons with arthritis and 75.8% of persons with hypertension reported that their health-care professional ever suggested physical activity or exercise to help manage their condition. Correlates for being less likely to receive advice were lower levels of education, longer time since last routine doctor visit, being physically inactive, and having lower body mass index. Among inactive, normal weight persons, 43.0% (95% CI: 38.7, 47.4) with arthritis and 50.0% (95% CI: 44.4, 55.6) with hypertension reported receiving advice; among inactive, obese patients, 59.1% (95% CI: 55.8, 62.3) with arthritis and 74.0% (95% CI: 70.5, 77.3) with hypertension reported receiving advice. CONCLUSIONS: Findings suggest that health-care professionals may base physical activity counseling more on body mass index than a patient's activity level. To manage chronic health conditions, health-care professionals should assess patient's physical activity and offer all patients appropriate counseling.

Developing Family Healthware, a family history screening tool to prevent common chronic diseases.

Family health history reflects the effects of genetic, environmental, and behavioral factors and is an important risk factor for a variety of disorders including coronary heart disease, cancer, and diabetes. In 2004, the Centers for Disease Control and Prevention developed Family Healthware, a new interactive, Web-based tool that assesses familial risk for 6 diseases (coronary heart disease, stroke, diabetes, and colorectal, breast, and ovarian cancer) and provides a "prevention plan" with personalized recommendations for lifestyle changes and screening. The tool collects data on health behaviors, screening tests, and disease history of a person's first- and second-degree relatives. Algorithms in the software analyze the family history data and assess familial risk based on the number of relatives affected, their age at disease onset, their sex, how closely related the relatives are to each other and to the user, and the combinations of diseases in the family. A second set of algorithms uses the data on familial risk level, health behaviors, and screening to generate personalized prevention messages. Qualitative and quantitative formative research on lay understanding of family history and genetics helped shape the tool's content, labels, and messages. Lab-based usability testing helped refine messages and tool navigation. The tool is being evaluated by 3 academic centers by using a network of primary care practices to determine whether personalized prevention messages tailored to familial risk will motivate people at risk to change their lifestyles or screening behaviors.

Trends in high levels of low-density lipoprotein cholesterol in the United States, 1999-2006.

CONTEXT: Studies show that a large proportion of adults with high levels of low-density lipoprotein cholesterol (LDL-C) remain untreated or undertreated despite growing use of lipid-lowering medications. OBJECTIVE: To investigate trends in screening prevalence, use of cholesterol-lowering medications, and LDL-C levels across 4 study cycles (1999-2000, 2001-2002, 2003-2004, and 2005-2006). DESIGN, SETTING, AND PARTICIPANTS: The National Health and Nutrition Examination Survey (NHANES) is a cross-sectional, stratified, multistage probability sample survey of the US civilian, noninstitutionalized population. After we restricted the study sample to fasting participants aged 20 years or older (n = 8018) and excluded pregnant women (n = 464) and participants with missing data (n = 510), our study sample consisted of 7044 participants. MAIN OUTCOME MEASURE: High LDL-C levels, defined as levels above the specific goal for each risk category outlined in guidelines from the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III). All presented results are weighted and age-standardized to 2000 standard population estimates. RESULTS: Prevalence of high LDL-C levels among persons aged 20 years or older decreased from 31.5% in 1999-2000 to 21.2% in 2005-2006 (P < .001 for linear trend) but varied by risk category. By the 2005-2006 study cycle, prevalence of high LDL-C was 58.9%, 30.2%, and 11.0% for high-, intermediate-, and low-risk categories, respectively. Self-reported use of lipid-lowering medications increased from 8.0% to 13.4% (P < .001 for linear trend), but screening rates did not change significantly, remaining less than 70% (P = .16 for linear trend) during the study periods. CONCLUSIONS: Among the NHANES population aged 20 years or older, the prevalence of high LDL-C levels decreased from 1999-2000 to 2005-2006. In the most recent period, the prevalence was 21.2%.

Potentially Excess Deaths from the Five Leading Causes of Death in Metropolitan and Nonmetropolitan Counties - United States, 2010-2017.

PROBLEM/CONDITION: A 2017 report quantified the higher percentage of potentially excess (or preventable) deaths in nonmetropolitan areas (often referred to as rural areas) compared with metropolitan areas. In that report, CDC compared national, regional, and state estimates of potentially excess deaths among the five leading causes of death in nonmetropolitan and metropolitan counties for 2010 and 2014. This report enhances the geographic detail by using the six levels of the 2013 National Center for Health Statistics (NCHS) urban-rural classification scheme for counties and extending estimates of potentially excess deaths by annual percent change (APC) and for additional years (2010-2017). Trends were tested both with linear and quadratic terms. PERIOD COVERED: 2010-2017. DESCRIPTION OF SYSTEM: Mortality data for U.S. residents from the National Vital Statistics System were used to calculate potentially excess deaths from the five leading causes of death among persons aged <80 years. CDC's NCHS urban-rural classification scheme for counties was used to categorize the deaths according to the urban-rural county classification level of the decedent's county of residence (1: large central metropolitan [most urban], 2: large fringe metropolitan, 3: medium metropolitan, 4: small metropolitan, 5: micropolitan, and 6: noncore [most rural]). Potentially excess deaths were defined as deaths among persons aged <80 years that exceeded the number expected if the death rates for each cause in all states were equivalent to those in the benchmark states (i.e., the three states with the lowest rates). Potentially excess deaths were calculated separately for the six urban-rural county categories nationally, the 10 U.S. Department of Health and Human Services public health regions, and the 50 states and District of Columbia. RESULTS: The number of potentially excess deaths among persons aged <80 years in the United States increased during 2010-2017 for unintentional injuries (APC: 11.2%), decreased for cancer (APC: -9.1%), and remained stable for heart disease (APC: 1.1%), chronic lower respiratory disease (CLRD) (APC: 1.7%), and stroke (APC: 0.3). Across the United States, percentages of potentially excess deaths from the five leading causes were higher in nonmetropolitan counties in all years during 2010-2017. When assessed by the six urban-rural county classifications, percentages of potentially excess deaths in the most rural counties (noncore) were consistently higher than in the most urban counties (large central metropolitan) for the study period. Potentially excess deaths from heart disease increased most in micropolitan counties (APC: 2.5%) and decreased most in large fringe metropolitan counties (APC: -1.1%). Potentially excess deaths from cancer decreased in all county categories, with the largest decreases in large central metropolitan (APC: -16.1%) and large fringe metropolitan (APC: -15.1%) counties. In all county categories, potentially excess deaths from the five leading causes increased, with the largest increases occurring in large central metropolitan (APC: 18.3%), large fringe metropolitan (APC: 17.1%), and medium metropolitan (APC: 11.1%) counties. Potentially excess deaths from CLRD decreased most in large central metropolitan counties (APC: -5.6%) and increased most in micropolitan (APC: 3.7%) and noncore (APC: 3.6%) counties. In all county categories, potentially excess deaths from stroke exhibited a quadratic trend (i.e., decreased then increased), except in micropolitan counties, where no change occurred. Percentages of potentially excess deaths also differed among and within public health regions and across states by urban-rural county classification during 2010-2017. INTERPRETATION: Nonmetropolitan counties had higher percentages of potentially excess deaths from the five leading causes than metropolitan counties during 2010-2017 nationwide, across public health regions, and in the majority of states. The gap between the most rural and most urban counties for potentially excess deaths increased during 2010-2017 for three causes of death (cancer, heart disease, and CLRD), decreased for unintentional injury, and remained relatively stable for stroke. Urban and suburban counties (large central metropolitan and large fringe metropolitan, medium metropolitan, and small metropolitan) experienced increases in potentially excess deaths from unintentional injury during 2010-2017, leading to a narrower gap between the already high (approximately 55%) percentage of excess deaths in noncore and micropolitan counties. PUBLIC HEALTH ACTION: Routine tracking of potentially excess deaths by urban-rural county classification might help public health departments and decision-makers identify and monitor public health problems and focus interventions to reduce potentially excess deaths in these areas.

Prevalence, family history, and prevention of reported osteoporosis in U.S. women.

BACKGROUND: Osteoporosis is a major public health concern and has been associated with a family history positive for the condition. However, data on the behaviors of individuals with such a family history are scarce. The objectives of this study were to assess the relationship between the prevalence of reported physician-diagnosed osteoporosis and family history in a representative sample of U.S. women, examine whether osteoporosis risk factors account for this relationship, and evaluate the likelihood that women at high risk of osteoporosis due to family history report preventive behaviors. METHODS: The prevalence of reported osteoporosis was estimated in 8073 women aged>or=20 years in the National Health and Nutrition Examination Survey, 1999-2004. Information on osteoporosis in first-degree relatives and grandparents was obtained during interviews. RESULTS: The prevalence of osteoporosis in participants was 7.94%. In 19.8% of them, a positive family history was reported and was significantly and independently associated with osteoporosis (AOR 2.35, 95% CI=1.87, 2.96). This association was stronger when two or more relatives were affected (AOR 8.48, 95% CI=4.50, 15.99). After stratification by age, the association was observed only in women aged>or=35 years. Women with a family history of osteoporosis were more likely than those with none to report preventive behavior, such as taking supplements of calcium, vitamin D, or both; physical activity; and estrogen use. CONCLUSIONS: These findings indicate that family history is a significant, independent risk factor for osteoporosis in U.S. women aged>or=35 years. Further studies are warranted to evaluate family history as a convenient and inexpensive tool for identifying women at risk of osteoporosis and for promoting the adoption of preventive behaviors.