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1.
Prev Chronic Dis ; 13: E91, 2016 07 14.
Artigo em Inglês | MEDLINE | ID: mdl-27418213

RESUMO

Public health researchers have used a class of statistical methods to calculate prevalence estimates for small geographic areas with few direct observations. Many researchers have used Behavioral Risk Factor Surveillance System (BRFSS) data as a basis for their models. The aims of this study were to 1) describe a new BRFSS small area estimation (SAE) method and 2) investigate the internal and external validity of the BRFSS SAEs it produced. The BRFSS SAE method uses 4 data sets (the BRFSS, the American Community Survey Public Use Microdata Sample, Nielsen Claritas population totals, and the Missouri Census Geographic Equivalency File) to build a single weighted data set. Our findings indicate that internal and external validity tests were successful across many estimates. The BRFSS SAE method is one of several methods that can be used to produce reliable prevalence estimates in small geographic areas.


Assuntos
Sistema de Vigilância de Fator de Risco Comportamental , Vigilância da População/métodos , Prevalência , Saúde Pública/estatística & dados numéricos , Humanos , Saúde Pública/normas , Reprodutibilidade dos Testes , Análise de Pequenas Áreas , Estados Unidos
2.
MMWR Surveill Summ ; 62(1): 1-247, 2013 May 31.
Artigo em Inglês | MEDLINE | ID: mdl-23718989

RESUMO

PROBLEM: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States. Engaging in healthy behaviors (e.g., quitting smoking and tobacco use, being more physically active, and eating a nutritious diet) and accessing preventive health-care services (e.g., routine physical checkups, screening for cancer, checking blood pressure, testing blood cholesterol, and receiving recommended vaccinations) can reduce morbidity and mortality from chronic and infectious disease and lower medical costs. Monitoring and evaluating health-risk behaviors and the use of health services is essential to developing intervention programs, promotion strategies, and health policies that address public health at multiple levels, including state, territory, metropolitan and micropolitan statistical area (MMSA), and county. REPORTING PERIOD: January-December 2010. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing, state-based, random-digit-dialed telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health-risk behaviors, chronic diseases and conditions, access to health care, and use of preventive health services and practices related to the leading causes of death and disabilities in the United States. 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: 67.9%-89.3% for states and territories, 72.2%-92.1% for MMSAs, and 72.8%-95.8% for counties. Adults with health-care coverage: 69.4%-95.7% for states and territories, 45.7%-97.0% for MMSAs, and 45.7%-97.2% for counties. Adults who had a dental visit in the past year: 57.2%-81.7% for states and territories, 47.1%-83.5% for MMSAs, and 47.1%-88.2% for counties. Adults aged ≥65 years having had all their natural teeth extracted (edentulism): 7.4%-36.0% for states and territories, 4.8%-34.8% for MMSAs, and 2.4%-39.3% for counties. A routine physical checkup during the preceding 12 months: 53.8%-80.0% for states and territories, 49.5%-82.6% for MMSAs, and 49.5%-85.3% for counties. Influenza vaccination received during the preceding 12 months among adults aged ≥65 years: 26.9%-73.4% for states and territories, 51.7%-77.1% for MMSAs, and 49.3%-87.8% for counties. Pneumococcal vaccination ever received among adults aged ≥65 years: 24.7%-74.0% for states and territories, 48.6%-79.9% for MMSAs, and 47.6%-83.1% for counties. Sigmoidoscopy or colonoscopy ever received among adults aged ≥50 years: 37.8%-75.7% for states and territories, 37.3%-79.9% for MMSAs, and 37.3%-82.5% for counties. Blood stool test received during the preceding 2 years among adults aged ≥50 years: 8.5%-27.0% for states and territories, 6.7%-51.3% for MMSAs, and 6.8%-57.2% for counties. Women who reported having had a Papanicolaou test during the preceding 3 years: 67.8%-88.9% for states and territories, 63.3%-91.2% for MMSAs, and 63.2%-95.7% for counties. Women aged ≥40 years who had a mammogram during the preceding 2 years: 63.8%-83.6% for states and territories, 60.3%-86.2% for MMSAs, and 59.3%-89.7% for counties. Current cigarette smokers: 5.8%-26.8% for states and territories, 5.8%-28.5% for MMSAs, and 5.9%-29.8% for counties. Binge drinking during the preceding month: 6.6%-21.6% for states and territories, 3.6%-23.0% for MMSAs, and 3.8%-24.0% for counties. Heavy drinking during the preceding month: 2.0%-7.2% for states and territories, 1.0%-10.0% for MMSAs, and 1.0%-14.2% for counties. Adults reporting no leisure-time physical activity: 17.5%-42.3% for states and territories, 13.1%-37.6% for MMSAs, and 8.5%-39.0% for counties. Adults who were overweight: 32.6%-40.7% for states and territories, 28.5%-42.5% for MMSAs, and 27.2%-46.4% for counties. Adults aged ≥20 years who were obese: 22.1%-35.0% for states and territories, 17.1%-42.1% for MMSAs, and 13.3%-42.1% for counties. Adults with current asthma: 5.2%-11.1% for states and territories, 3.4%-14.5% for MMSAs, and 3.3%-14.6% for counties. Adults with diagnosed diabetes: 5.3%-13.2% for states and territories, 4.6%-15.4% for MMSAs, and 2.6%-18.8% for counties. Adults with limited activities because of physical, mental or emotional problems: 10.8%-28.2% for states and territories, 13.5%-38.3% for MMSAs, and 11.7%-32.0% for counties. Adults using special equipment because of any health problem: 2.8%-10.6% for states and territories, 4.5%-15.5% for MMSAs, and 1.3%-15.5% for counties. Adults aged ≥45 years who have had coronary heart disease: 5.3%-16.7% for states and territories, 6.5%-19.6% for MMSAs, and 4.9%-19.6% for counties. Adults aged ≥45 years who have had a stroke: 2.4%-7.1% for states and territories, 2.3%-8.8% for MSMAs, and 1.7%-8.8% for counties. INTERPRETATION: The findings in this report indicate substantial variations in the health-risk behaviors, chronic diseases and conditions, access to health-care services, and the use of the preventive health services among U.S. adults at the state and territory, MMSA, and county levels. Healthy People 2010 (HP 2010) objectives were established to monitor health behaviors, conditions, and the use of preventive health services for the first decade of the 2000s. The findings in this report indicate that many of the HP 2010 objectives were not achieved by 2010. The findings underscore the continued need for surveillance of health-risk behaviors, chronic diseases, and conditions and of the use of preventive health-care services. PUBLIC HEALTH ACTION: Local and state health departments and federal agencies use BRFSS data to identify populations at high risk for certain health-risk behaviors, chronic diseases, and conditions and to evaluate the use of preventive health-care services. BRFSS data also are used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality from chronic conditions and corresponding health-risk behaviors.


Assuntos
Comportamentos Relacionados com a Saúde , Vigilância da População , Adulto , Sistema de Vigilância de Fator de Risco Comportamental , Doença Crônica , District of Columbia , Feminino , Guam , Acessibilidade aos Serviços de Saúde , Humanos , Masculino , Serviços Preventivos de Saúde/estatística & dados numéricos , Porto Rico , Assunção de Riscos , Análise de Pequenas Áreas , Estados Unidos , Ilhas Virgens Americanas
3.
MMWR Surveill Summ ; 60(9): 1-250, 2011 Aug 19.
Artigo em Inglês | MEDLINE | ID: mdl-21849967

RESUMO

PROBLEM: Chronic diseases and conditions (e.g., heart disease, cancer, stroke, and diabetes) are the leading causes of death in the United States. Controlling health risk behaviors and conditions (e.g., smoking, physical inactivity, poor diet, excessive drinking, and obesity) and using preventive health-care services (e.g., physical examination, vaccination, screening for high blood pressure and high cholesterol, consumption of fruits and vegetables, and participation in regular leisure-time physical activity) can reduce morbidity and mortality from chronic diseases. REPORTING PERIOD: January 2009--December 2009. DESCRIPTION OF THE SYSTEM: The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing state-based random-digit--dialed telephone survey of noninstitutionalized adults aged ≥18 years residing in the United States. BRFSS collects data on health risk behaviors and conditions, chronic diseases and conditions, access to health care, and use of preventative health services and practices related to the leading causes of death and disabilities in the United States. This report presents results for 2009 for all 50 states, the District of Columbia, the Commonwealth of Puerto Rico, Guam, the U.S. Virgin Islands, 180 metropolitan and micropolitan statistical areas (MMSAs), and 283 selected counties. RESULTS: In 2009, the estimated prevalence of general health status, use of preventive health-care services, health risk behaviors and conditions, chronic diseases, and health impairments and disabilities varied substantially by state and territory, MMSA, and county. The following is a summary of results listed by BRFSS question topics. Each set of proportions refers to the range of estimated prevalence for the disease, condition, or behavior, as reported by the survey respondent. Adults who reported having fair or poor health: 10.1%--30.9% for states and territories, 7.9%--25.8% for MMSAs, and 4.5%--26.1% for counties. Adults with health-care coverage: 71.4%--94.7% for states and territories, 52.7%--96.3% for MMSAs, and 52.7%--97.6% for counties. Annual routine physical checkup among adults aged ≥18 years: 55.8%--79.3% for states and territories, 51.8%--80.7% for MMSAs, and 49.2%--83.5% for counties. Annual influenza vaccination among adults aged ≥65 years: 26.8%--76.8% for states and territories, 55.4%--81.4% for MMSAs, and 50.5%--83.5% for counties. Pneumococcal vaccination among adults aged ≥65 years: 19.1%--73.9% for states and territories, 52.9%--81.3% for MMSAs, and 41.9%--82.0% for counties. Adults who had their cholesterol checked within the preceding 5 years: 67.5%--85.3% for states and territories, 58.2%--88.8% for MMSAs, and 58.2%--92.4% for counties. Adults who consumed at least five servings of fruits and vegetables per day: 14.6%--31.5% for states and territories, 12.6%--33.0% for MMSAs, and 13.4%--34.9% for counties. Adults who engaged in moderate or vigorous physical activity: 28.0%--60.7% for states and territories, 34.6%--64.9% for MMSAs, and 33.6%--67.3% for counties. Adults who engaged in only vigorous physical activity: 13.7%--40.1% for states and territories, 13.8%--43.3% for MMSAs, and 14.2%--50.0% for counties. Current cigarette smoking among adults: 6.4%--25.6% for states and territories, 5.7%--29.0% for MMSAs, and 5.6%--29.8% for counties. Binge drinking among adults: 6.8%--23.9% for states and territories, 3.5%--23.2% for MMSAs, and 3.4%--26.3% for counties. Heavy drinking among adults: 1.9%--8.1% for states and territories, 1.0%--11.1% for MMSAs, and 0.9%--11.1% for counties. Adults who reported no leisure-time physical activity: 15.8%--45.6% for states and territories, 13.3%--40.2% for MMSAs, and 10.5%--40.2% for counties. Adults aged ≥18 years who were overweight: 31.6%--38.7% for states and territories, 28.7%--44.1% for MMSAs, and 25.6%--46.7% for counties. Adults aged ≥20 years who were obese: 19.7%--36.0% for states and territories, 15.4%--43.6% for MMSAs, and 13.8%--45.7% for counties. Adults aged ≥18 years who did not get enough rest or sleep: 34.3%--52.6% for states and territories, 28.2%--54.8% for MMSAs, and 24.5%--55.6% for counties. Adults who had received a high blood pressure diagnosis: 22.1%--38.5% for states and territories, 18.8%--43.9% for MMSAs, and 17.2%--43.6% for counties. Adults who had a high blood cholesterol diagnosis: 24.9%--42.2% for states and territories, 27.5%--47.8% for MMSAs, and 26.7%--51.4% for counties. Adults who had received a diagnosis of coronary heart disease: 2.5%--10.3% for states and territories, 2.6%--11.6% for MMSAs, and 1.6%--12.3% for counties. Adults who had received a stroke diagnosis: 1.4%--3.9% for states and territories, 0.8%--5.9% for MMSAs, and 0.8%--6.6% for counties. Adults who had received a diabetes diagnosis: 5.8%--12.9% for states and territories, 2.8%--15.4% for MMSAs, and 2.8%--14.7% for counties. Adults who had received a cancer diagnosis: 3.0%--12.6% for states and territories, 5.8%--15.1% for MMSAs, and 3.9%--16.2% for counties. Adults who had asthma: 4.4%--11.1% for states and territories, and 3.2%--15.3% for MMSAs, and 3.2%--15.7% for counties. Adults who had arthritis: 10.7%--35.6% for states and territories, 16.2%--36.0% for MMSAs, and 12.6%--39.4% for counties. Adults with activity limitation associated with physical, mental, or emotional problems: 10.2%--27.1% for states and territories, 13.1%--33.7% for MMSAs, and 10.4%--36.1% for counties. Adults who required special equipment because of health problems: 3.6%--10.2% for states and territories, 3.4%--11.5% for MMSAs, and 1.7%--13.0% for counties. INTERPRETATION: The findings in this report indicate substantial variations in self-rated general health status, health-care coverage, use of preventive health-care services, health risk behaviors and health conditions, cardiovascular conditions, other chronic diseases, and health impairments and disabilities among U.S. adults at the state and territory, MMSA, and county levels. The findings show that Healthy People 2010 objectives had not been met in many areas by 2009, which underscores the continued need for surveillance of general health status, use of preventive health-care services, health risk behaviors and conditions, chronic diseases, and health impairment and disability. PUBLIC HEALTH ACTION: Data on health risk behaviors, chronic health conditions, preventive care practices, and chronic diseases are used to develop health promotion activities, intervention programs, and health policies at the state, city, and county levels.. The overarching goals of Healthy People 2010 are to increase quality and years of healthy life and to eliminate health disparities. Local and state health departments and federal agencies should continue to use BRFSS data to identify populations at high risk for certain health risk behaviors and conditions, cardiovascular conditions, and other chronic diseases and to evaluate the use of preventive health-care services. In addition, BRFSS data can be used to direct, implement, monitor, and evaluate public health programs and policies that can lead to a reduction in morbidity and mortality.


Assuntos
Doença Crônica/epidemiologia , Comportamentos Relacionados com a Saúde , Nível de Saúde , Estilo de Vida , Vigilância da População , Serviços Preventivos de Saúde/estatística & dados numéricos , Adolescente , Adulto , Idoso , Sistema de Vigilância de Fator de Risco Comportamental , Doença Crônica/prevenção & controle , Feminino , Humanos , Cobertura do Seguro/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Prevalência , Assunção de Riscos , Estados Unidos/epidemiologia , Adulto Jovem
4.
Prev Chronic Dis ; 5(3): A97, 2008 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-18558047

RESUMO

Having information about preexisting chronic diseases and available public health assets is critical to ensuring an adequate public health response to natural disasters and acts of terrorism. We describe a method to derive this information using a combination of data from the Behavioral Risk Factor Surveillance System and geographic information systems (GIS) technology. Our demonstration focuses on counties in states that are within 100 miles of the Gulf of Mexico and the Atlantic Ocean coastlines. To illustrate the flexible nature of planning made possible through the interactive use of a GIS, we use a hypothetical scenario of a hurricane making landfall in Myrtle Beach, South Carolina.


Assuntos
Sistema de Vigilância de Fator de Risco Comportamental , Planejamento em Desastres/métodos , Desastres , Sistemas de Informação Geográfica , Doença Crônica , Humanos , Avaliação das Necessidades , South Carolina/epidemiologia
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