Prevalence of Diabetes, CVD and Asthma in Adults
Measure Overview
According to the Centers for Disease Control and Prevention (CDC), approximately 60% of Americans live with at least one type of chronic disease, which can include, but are not limited to, conditions such as asthma, cancer, diabetes, heart attack, hypertension, stroke, and cardiovascular disease (CVD). At the individual level, understanding the number of people living with chronic disease can indicate where and which populations might have higher rates of health care service utilization, might be reporting poorer physical or mental health status, and who might have limited physical activity or ability. On a broader scale, examining rates of chronic disease can help inform trends in health care costs and spending and also in understanding mortality rates.
State Health Compare provides a state-level look at the percent of the adult population who report having one or more of the following specific chronic disease types: diabetes, CVD, heart attack, stroke and asthma. Users should note a break in series beginning with 2011, due to the Behavior Risk Factor Surveillance System (BRFSS) implementing cell phone sampling and an advanced weighting method in that year.
State Health Compare provides a state-level look at the percent of the adult population who report having one or more of the following specific chronic disease types: diabetes, CVD, heart attack, stroke and asthma. Users should note a break in series beginning with 2011, due to the Behavior Risk Factor Surveillance System (BRFSS) implementing cell phone sampling and an advanced weighting method in that year.
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Studying the Impact of COVID-19: State-Level Data Resources on State Health Compare
This blog provides a high-level overview of a range of data measures currently housed in SHADAC’s online data tool, State Health Compare, as well as a number of related resources that provide more in-depth analysis for certain measures. Notably, estimates for each of the measures listed are available for subpopulations that often highlight persistent disparities in health—a feature that may prove especially useful as calls to further break down data related to COVID-19 into subcategories (e.g., gender, age, race/ethnicity, etc.) to track the impact of the disease on specific populations have increased.