Rates for specific diseases are calculated from those surveys. These rates are applied as the population changes for several years, until a new health examination survey is done and new rates are established. The annual changes in prevalence as reported in Heart Disease and Stroke Statistics Update only reflect changes in the population. It isn't possible to develop a prevalence "trend" by comparing numbers from yearly issues of the publication or its precursors. Incidence is an estimate of how many new cases of a disease develop in a population in a given time period.
For some diseases, new and recurrent attacks or cases are combined. The incidence of a cardiovascular disease in the United States is estimated by multiplying the incidence rates reported in community- or hospital-based studies by the U. The rates are not computed annually; they change only when new data are available.
The estimates were revised to reflect the U. Neither the incidence nor the rates should be compared with those in past issues of the Heart Disease and Stroke Statistics Update. Mortality figures are the most accurate data available for assessing the impact of cardiovascular diseases and stroke. These data are compiled from death certificates and are sent by state health agencies to the National Center for Health Statistics.
This process is time-consuming. That's why there's about a two-year delay in the mortality statistics found in the Heart Disease and Stroke Statistics Update. Because mortality is considered "hard" data, it's possible to do time-trend analysis and compute percent changes over time. A death rate is a ratio between mortality and population. National death rates are computed per , population. Dividing the mortality by the population results in a crude death rate. When summarizing death rates over time or among populations, we compute age-adjusted death rates.
These remove the effects from differences in the age distribution of the population over time and among population groups.
The year is the standard year used for age-adjustment. Marcus, Gregory M. Marelli, Ariane. Matchar, David B. McGuire, Darren K. Mohler, Emile R. Moy, Claudia S. Mussolino, Michael E. Nichol, Graham. Paynter, Nina P. Schreiner, Pamela J. Sorlie, Paul D. Stein, Joel. Turan, Tanya N. Virani, Salim S. Wong, Nathan D. Woo, Daniel. Turner, Melanie B. Repository Usage Stats. Each year, the American Heart Association AHA , in conjunction with the Centers for Disease Control and Prevention, the National Institutes of Health, and other government agencies, brings together the most up-to-date statistics on heart disease, stroke, other vascular diseases, and their risk factors and presents them in its Heart Disease and Stroke Statistical Update.
In recent years, the Statistical Update has undergone some major changes with the addition of new chapters and major updates across multiple areas, as well as increasing the number of ways to access and use the information assembled. For this year's edition, the Statistics Committee, which produces the document for the AHA, updated all of the current chapters with the most recent nationally representative data and inclusion of relevant articles from the literature over the past year.
This year's edition also implements a new chapter organization to reflect the spectrum of cardiovascular health behaviors and health factors and risks, as well as subsequent complicating conditions, disease states, and outcomes. Also, the Statistical Update contains new data on the monitoring and benefits of cardiovascular health in the population, with additional new focus on evidence-based approaches to changing behaviors, implementation strategies, and implications of the AHA's Impact Goals.
Below are a few highlights from this year's Update. Published Version Please cite this version. Publication Info. This is constructed from limited available data and may be imprecise. More Info. Scholars Duke. David Bruce Matchar Professor of Medicine. My research relates to clinical practice improvement - from the development of clinical policies to their implementation in real world clinical settings.
Most recently my major content focus has been cerebrovascular disease. Other major clinical areas in which I work include the range of disabling neurological conditions, cardiovascular disease, and cancer prevention.
Notable features of my work are: 1 reliance on analytic strategies such as meta-analysis, simulation, decision analy. Related items Showing items related by title, author, creator, and subject.
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