In 1950 men and women in the United States had a combined life expectancy of 68.9 years, the 12th highest life expectancy at birth in the world. Today, life expectancy is up to 79.2 years, yet the country is now 28th on the list, behind the United Kingdom, Korea, Canada, and France, among others. The United States does have higher rates of infant mortality and violent deaths than in other developed countries, but these factors do not fully account for the country's relatively poor ranking in life expectancy. International Differences in Mortality at Older Ages: Dimensions and Sources examines patterns in international differences in life expectancy above age 50 and assesses the evidence and arguments that have been advanced to explain the poor position of the United States relative to other countries. The papers in this deeply researched volume identify gaps in measurement, data, theory, and research design and pinpoint areas for future high-priority research in this area. In addition to examining the differences in mortality around the world, the papers in International Differences in Mortality at Older Ages look at health factors and life-style choices commonly believed to contribute to the observed international differences in life expectancy. They also identify strategic opportunities for health-related interventions. This book offers a wide variety of disciplinary and scholarly perspectives to the study of mortality, and it offers in-depth analyses that can serve health professionals, policy makers, statisticians, and researchers.

This annual overview report of national trends in health statistics contains a Chartbook that assesses the nation's health by presenting trends and current information on selected measures of morbidity, mortality, health care utilization and access, health risk factors, prevention, health insurance, and personal health-care expenditures. Chapters devoted to population characteristics, prevention, health risk factors, health care resources, personal health care expenditures, health insurance, and trend tables may provide the health/medical statistician, data analyst, biostatistician with additional information to complete experimental studies or provide necessary research for pharmaceutical companies to gain data for modeling and sampling. Undergraduate students engaged in applied mathematics or statistical compilations to graduate students completing biostatistics degree programs to include statistical inference principles, probability, sampling methods and data analysis as well as specialized medical statistics courses relating to epidemiology and other health topics may be interested in this volume. Related products: Your Guide to Choosing a Nursing Home or Other Long-Term Services & Supports available here: https://bookstore.gpo.gov/products/your-guide-choosing-nursing-home-or-other-long-term-services-supports Health Insurance Coverage in the United States, 2014 available here: https://bookstore.gpo.gov/products/health-insurance-coverage-united-states-2014 "Some System of the Nature Here Proposed": Joseph Lovell's Remarks on the Sick Report, Northern Department, U.S. Army, 1817, and the Rise of the Modern US Army Medical Department can be found here: https://bookstore.gpo.gov/products/some-system-nature-here-proposed-joseph-lovells-remarks-sick-report-northern-department-us Guide to Clinical Preventive Services 2014: Recommendations of the U.S. Preventive Services Task Force (ePub) -Free digital eBook download available at the US Government Online Bookstore here: https://bookstore.gpo.gov/products/guide-clinical-preventive-services-2014-recommendations-us-preventive-services-task-force --Also available for FREE digital eBook download from Apple iBookstore, BarnesandNoble.com (Nook Bookstore), Google Play eBookstore, and Overdrive -Please use ISBN: 9780160926426 to search these commercial platforms.

The publication is an international standard on the design and operation of an efficient and accurate vital statistics system at national level. It provides guidelines on collection, compiling and disseminating vital statistics. More specifically it contains (a) basic principles for a vital statistics system; (b) uses of vital statistics and civil registration records; (c) topics to be covered in a vital statistics system; (d) sources of vital statistics and how they function; (e) quality assurance in the vital statistics system and (f) strategies in improving civil registration and vital statistics systems in countries. It also informs policy makers and the general public on the importance of vital statistics and hence further improving the vital statistics system.

During the last 25 years, life expectancy at age 50 in the United States has been rising, but at a slower pace than in many other high-income countries, such as Japan and Australia. This difference is particularly notable given that the United States spends more on health care than any other nation. Concerned about this divergence, the National Institute on Aging asked the National Research Council to examine evidence on its possible causes. According to Explaining Divergent Levels of Longevity in High-Income Countries, the nation's history of heavy smoking is a major reason why lifespans in the United States fall short of those in many other high-income nations. Evidence suggests that current obesity levels play a substantial part as well. The book reports that lack of universal access to health care in the U.S. also has increased mortality and reduced life expectancy, though this is a less significant factor for those over age 65 because of Medicare access. For the main causes of death at older ages-cancer and cardiovascular disease-available indicators do not suggest that the U.S. health care system is failing to prevent deaths that would be averted elsewhere. In fact, cancer detection and survival appear to be better in the U.S. than in most other high-income nations, and survival rates following a heart attack also are favorable. Explaining Divergent Levels of Longevity in High-Income Countries identifies many gaps in research. For instance, while lung cancer deaths are a reliable marker of the damage from smoking, no clear-cut marker exists for obesity, physical inactivity, social integration, or other risks considered in this book. Moreover, evaluation of these risk factors is based on observational studies, which-unlike randomized controlled trials-are subject to many biases.