Introduction: Survey breakoff is an important source of total survey error. Most studies of breakoff have been of web surveys-less is known about telephone surveys. In the past decade, the breakoff rate has increased in the Behavioral Risk Factor Surveillance System, the world's largest annual telephone survey.
View Article and Find Full Text PDFDeclining response rates and rising costs have prompted the search for alternatives to traditional random-digit dialing (RDD) interviews. In 2021, three Behavioral Risk Factor Surveillance System (BRFSS) pilots were conducted in Texas: data collection using an RDD short message service (RDD SMS) text-messaging push-to-web pilot, an address-based push-to-web pilot, and an internet panel pilot. We used data from the three pilots and from the concurrent Texas BRFSS Computer Assisted Telephone Interview (CATI).
View Article and Find Full Text PDFIntroduction: Health-related behavioral risk factors and obesity are linked to high risk for multiple chronic diseases. We examined the prevalence of these risk factors among American Indians and Alaska Natives (AI/ANs) compared with that of non-Hispanic Whites and across Indian Health Service (IHS) regions.
Methods: We used 2017 Behavioral Risk Factor Surveillance System data from participants in 50 states and the District of Columbia to assess 4 behavioral risk factors (current cigarette smoking, heavy drinking, binge drinking, and physical inactivity) and obesity.
Introduction: The Behavioral Risk Factor Surveillance System (BRFSS) is composed of telephone surveys that collect state data from non-institutionalized U.S. adults regarding health-related risk behaviors and chronic health conditions.
View Article and Find Full Text PDFProblem: Chronic conditions and disorders (e.g., diabetes, cardiovascular diseases, arthritis, and depression) are leading causes of morbidity and mortality in the United States.
View Article and Find Full Text PDFSince 2011, the Behavioral Risk Factor Surveillance System (BRFSS) has been conducting telephone surveys using landline and cell phones from all U.S. states.
View Article and Find Full Text PDFProblem: Chronic diseases and conditions (e.g., heart diseases, stroke, arthritis, and diabetes) are the leading causes of morbidity and mortality in the United States.
View Article and Find Full Text PDFPublic 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.
View Article and Find Full Text PDFProblem: Chronic diseases (e.g., heart diseases, cancer, chronic lower respiratory disease, stroke, diabetes, and arthritis) and unintentional injuries are the leading causes of morbidity and mortality in the United States.
View Article and Find Full Text PDFProblem: Chronic conditions (e.g., heart diseases, cerebrovascular diseases, malignant neoplasms, and diabetes), infectious diseases (e.
View Article and Find Full Text PDFProblem: Chronic diseases (e.g., heart disease, stroke, cancer, and diabetes) are the leading causes of morbidity and mortality in the United States.
View Article and Find Full Text PDFProblem: Chronic diseases and conditions (e.g., heart disease, cancer, stroke, and diabetes) are the leading causes of death in the United States.
View Article and Find Full Text PDFProblem: At least one chronic disease or condition affects 45% of persons and account for seven of the 10 leading causes of death in the United States. Persons who suffer from chronic diseases and conditions, (e.g.
View Article and Find Full Text PDFBackground: Significant differences in health outcomes have been documented among Hispanic persons, the fastest-growing demographic segment of the United States. The objective of this study was to examine trends in population growth and the collection of health data among Hispanic persons, including issues of language preference and survey completion using a national health survey to highlight issues of measurement of an increasingly important demographic segment of the United States.
Design: Data from the 2003-2007 United States Census and the Behavioral Risk Factor Surveillance System were used to compare trends in population growth and survey sample size as well as differences in survey response based on language preference among a Hispanic population.
Problem: Chronic diseases (e.g., heart disease, cancer, stroke, and diabetes) are the leading causes of death in the United States.
View Article and Find Full Text PDFObjective: Lack of health insurance coverage for working-age adults is one of the most pressing issues facing the U.S. population, and it continues to be a concern for a large number of people.
View Article and Find Full Text PDFProblem: Behavioral risk factors (e.g., tobacco use, poor diet, and physical inactivity) can lead to chronic diseases.
View Article and Find Full Text PDFIntroduction: Inadequately controlled chronic diseases may present a threat to life and well-being during the emergency response to natural disasters. An estimate of the possible numbers of people who may require treatment for chronic diseases should help in planning a response, but such information for local areas is not easily accessible. We explored how a current surveillance system could be used to provide estimates of the potential needs for emergency treatment of chronic diseases in the wake of a natural disaster.
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