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Potentially Excess Deaths from the Five Leading Causes of Death in Metropolitan and Nonmetropolitan Counties - United States, 2010-2017.
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 c...
Source: MMWR Surveill Summ - November 7, 2019 Category: Epidemiology Authors: Garcia MC, Rossen LM, Bastian B, Faul M, Dowling NF, Thomas CC, Schieb L, Hong Y, Yoon PW, Iademarco MF Tags: MMWR Surveill Summ Source Type: research

Surveillance for certain health behaviors among States and selected local areas - United States, 2010.
This report presents results for 2010 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 192 MMSAs, and 302 counties. Results: In 2010, the estimated prevalence of high-risk health behaviors, chronic diseases and conditions, access to health care, and use of preventive health services varied substantially by state and territory, MMSA, and county. In the following summary of results, each set of proportions refers to the range of estimated prevalence for the disease, condition, or behaviors, as reported by survey respondents. Adults reporting good or better health: 6...
Source: MMWR Surveill Summ - May 31, 2013 Category: Epidemiology Authors: Xu F, Town M, Balluz LS, Bartoli WP, Murphy W, Chowdhury PP, Garvin WS, Pierannunzi C, Zhong Y, Salandy SW, Jones CK, Crawford CA, Division of Behavioral Surveillance, Office of Surveillance, Epidemiology, and Laboratory Services, CDC Tags: MMWR Surveill Summ Source Type: research

Surveillance for Certain Health Behaviors, Chronic Diseases, and Conditions, Access to Health Care, and Use of Preventive Health Services Among States and Selected Local Areas
- Behavioral Risk Factor Surveillance System, United States, 2012.
This report presents results for all 50 states, the District of Columbia, participating U.S. territories that include the Commonwealth of Puerto Rico (Puerto Rico) and Guam, 187 Metropolitan/Micropolitan Statistical Areas (MMSAs), and 210 counties (n = 475,687 survey respondents) for the year 2012. RESULTS: In 2012, the estimated prevalence of health-risk behaviors, chronic diseases or conditions, access to health care, and use of preventive health services substantially varied by state and territory, MMSA, and county. The following portion of the abstract lists a summary of results by selected BRFSS measures. Each se...
Source: MMWR Surveill Summ - April 30, 2016 Category: Epidemiology Authors: Chowdhury PP, Mawokomatanda T, Xu F, Gamble S, Flegel D, Pierannunzi C, Garvin W, Town M Tags: MMWR Surveill Summ Source Type: research

Surveillance for Certain Health Behaviors and Conditions Among States and Selected Local Areas - Behavioral Risk Factor Surveillance System, United States, 2013 and 2014.
Abstract PROBLEM: Chronic diseases and conditions (e.g., heart diseases, stroke, arthritis, and diabetes) are the leading causes of morbidity and mortality in the United States. These conditions are costly to the U.S. economy, yet they are often preventable or controllable. Behavioral risk factors (e.g., excessive alcohol consumption, tobacco use, poor diet, frequent mental distress, and insufficient sleep) are linked to the leading causes of morbidity and mortality. Adopting positive health behaviors (e.g., staying physically active, quitting tobacco use, obtaining routine physical checkups, and checking blood pr...
Source: MMWR Surveill Summ - September 15, 2017 Category: Epidemiology Authors: Gamble S, Mawokomatanda T, Xu F, Chowdhury PP, Pierannunzi C, Flegel D, Garvin W, Town M Tags: MMWR Surveill Summ Source Type: research