This indicator reports the percentage of adults aged 18 and older who self-report that they have ever been told by a doctor, nurse, or other health professional that they had high blood cholesterol.
| Report Area | Survey Population (Adults Age 18+) |
Total Adults with High Cholesterol | Percent Adults with High Cholesterol |
|---|---|---|---|
| Franklin County, PA | 92,198 | 45,596 | 49.45% |
| Pennsylvania | 7,669,036 | 2,906,160 | 37.89% |
| United States | 180,861,326 | 69,662,357 | 38.52% |
Adults Ever Diagnosed with High Cholesterol by Race / Ethnicity, Percent
| Report Area | White (Non-Hispanic) | Black (Non-Hispanic) | Other Race (Non-Hispanic) | Hispanic / Latino |
|---|---|---|---|---|
| Pennsylvania | 38.85% | 30.07% | 39.18% | 38.47% |
| United States | 39.95% | 34.28% | 35.42% | 35.97% |
Website Updated December 11 2017 Site Reviewed January 05 2018
High Cholesterol (Adult)
Data Background
The Behavioral Risk Factor Surveillance System (BRFSS) is
“... a collaborative project of the Centers for Disease Control and Prevention (CDC) and U.S. states and territories. The BRFSS, administered and supported by CDC's Behavioral Risk Factor Surveillance Branch, is an ongoing data collection program designed to measure behavioral risk factors for the adult population (18 years of age or older) living in households. ”
Citation: Centers for Disease Control and Prevention, Office of Surveillance, Epidemiology, and Laboratory Services. Overview: BRFSS 2010.
The health characteristics estimated from the BRFSS include data pertaining to health behaviors, chronic conditions, access and utilization of healthcare, and general health. Surveys are administered to populations at the state level and then delivered to the CDC. BRFSS annual survey data are publically available and maintained on the CDC's BRFSS Annual Survey Data web page.
For more information on the BRFSS survey methods, or to obtain a copy of the survey questionnaires, please visit the Behavioral Risk Factor Surveillance System home page.
Courtesy: Community Commons, <www.communitycommons.org>, November 2017