Risk Factor Surveillance

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 13440 Experts worldwide ranked by ideXlab platform

Lina S. Balluz - One of the best experts on this subject based on the ideXlab platform.

Carol Pierannunzi - One of the best experts on this subject based on the ideXlab platform.

  • national weighting of data from the behavioral Risk Factor Surveillance system brfss
    BMC Medical Research Methodology, 2016
    Co-Authors: Ronaldo Iachan, Carol Pierannunzi, Kurt J. Greenlund, Kristie Healey, Machell Town
    Abstract:

    The Behavioral Risk Factor Surveillance System (BRFSS) is a network of health-related telephone surveys--conducted by all 50 states, the District of Columbia, and participating US territories—that receive technical assistance from CDC. Data users often aggregate BRFSS state samples for national estimates without accounting for state-level sampling, a practice that could introduce bias because the weighted distributions of the state samples do not always adhere to national demographic distributions. This article examines six methods of reweighting, which are then compared with key health indicator estimates from the National Health Interview Survey (NHIS) based on 2013 data. Compared to the usual stacking approach, all of the six new methods reduce the variance of weights and design effect at the national level, and some also reduce the estimated bias. This article also provides a comparison of the methods based on the variances induced by unequal weighting as well as the bias reduction induced by raking at the national level, and recommends a preferred method. The new method leads to weighted distributions that more accurately reproduce national demographic characteristics. While the empirical results for key estimates were limited to a few health indicators, they also suggest reduction in potential bias and mean squared error. To the extent that survey outcomes are associated with these demographic characteristics, matching the national distributions will reduce bias in estimates of these outcomes at the national level.

  • A Methodological Approach to Small Area Estimation for the Behavioral Risk Factor Surveillance System
    Preventing Chronic Disease, 2016
    Co-Authors: Carol Pierannunzi, Fang Xu, William Garvin, Robyn C. Wallace, Kurt J. Greenlund, William P Bartoli, Derek C. Ford, G. Machell Town
    Abstract:

    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.

  • a systematic review of publications assessing reliability and validity of the behavioral Risk Factor Surveillance system brfss 2004 2011
    BMC Medical Research Methodology, 2013
    Co-Authors: Carol Pierannunzi, Shaohua Sean Hu, Lina S. Balluz
    Abstract:

    Background In recent years response rates on telephone surveys have been declining. Rates for the behavioral Risk Factor Surveillance system (BRFSS) have also declined, prompting the use of new methods of weighting and the inclusion of cell phone sampling frames. A number of scholars and researchers have conducted studies of the reliability and validity of the BRFSS estimates in the context of these changes. As the BRFSS makes changes in its methods of sampling and weighting, a review of reliability and validity studies of the BRFSS is needed.

  • A systematic review of publications assessing reliability and validity of the Behavioral Risk Factor Surveillance System (BRFSS), 2004–2011
    BMC Medical Research Methodology, 2013
    Co-Authors: Carol Pierannunzi, Shaohua Sean Hu, Lina S. Balluz
    Abstract:

    Background In recent years response rates on telephone surveys have been declining. Rates for the behavioral Risk Factor Surveillance system (BRFSS) have also declined, prompting the use of new methods of weighting and the inclusion of cell phone sampling frames. A number of scholars and researchers have conducted studies of the reliability and validity of the BRFSS estimates in the context of these changes. As the BRFSS makes changes in its methods of sampling and weighting, a review of reliability and validity studies of the BRFSS is needed.

Control Centers For Disease - One of the best experts on this subject based on the ideXlab platform.

  • Cigarette smoking among reproductive-aged women--Behavioral Risk Factor Surveillance System, 1989
    MMWR. Morbidity and mortality weekly report, 1991
    Co-Authors: Control Centers For Disease
    Abstract:

    Women who smoke cigarettes are at increased Risk not only for chronic diseases (e.g., lung cancer and chronic obstructive pulmonary disease) but--if they use oral contraceptives--also for myocardial infarction (1). In addition, cigarette smoking during pregnancy increases the Risk for low birth weight and premature infants, miscarriage, stillbirth, sudden infant death syndrome, and infant mortality (2). Because of these Risks and other health problems associated with cigarette smoking, one of the national health objectives for the year 2000 is to reduce the prevalence of smoking to 12% among reproductive-aged women (18-44 years of age) (3). This report summarizes data from the 1989 Behavioral Risk Factor Surveillance System (BRFSS) on the prevalence of smoking among reproductive-aged women.

Ali H. Mokdad - One of the best experts on this subject based on the ideXlab platform.

  • Public health Surveillance for disease prevention: lessons from the behavioral Risk Factor Surveillance system.
    Ethnicity & Disease, 2020
    Co-Authors: Ali H. Mokdad, Kurt J. Greenlund, Virginia S Bales, George A. Mensah
    Abstract:

    : The burden of chronic diseases is increasing worldwide. Surveillance of behavioral Risk Factors is a crucial element for prevention and control of chronic diseases. Adequate Surveillance data will provide the basis for developing and implementing appropriate preventive programs at the local and country level. A standardized Surveillance system worldwide will allow data comparability, and will decrease the cost of the Surveillance system. By using lessons from the Behavioral Risk Factor Surveillance System, a large, ongoing, state-based Surveillance system in the United States, countries may save limited resources, and expedite the initiation of their own Surveillance systems. To prevent cardiovascular diseases worldwide, it is time to develop and implement appropriate Surveillance systems at a country level, in order to track Risk Factors. This strategy will provide the basis for developing intervention programs designed to reduce, or prevent a further increase in, the burden of chronic diseases.

  • tracking chronic disease and Risk behavior prevalence as survey participation declines statistics from the behavioral Risk Factor Surveillance system and other national surveys
    Preventing Chronic Disease, 2008
    Co-Authors: Mansour Fahimi, Ali H. Mokdad, Michael W Link, Deborah A Schwartz, Paul S Levy
    Abstract:

    Introduction Response rates for the Behavioral Risk Factor Surveillance System (BRFSS) have declined in recent years. The response rate in 1993 was approximately 72%; in 2006, the response rate was approximately 51%. To assess the impact of this decline on the quality of BRFSS estimates, we compared selected health and Risk Factor estimates from BRFSS with similar estimates from the National Health Interview Survey (NHIS) and the National Health and Nutrition Examination Survey (NHANES).

  • The prevalence of depression in older U.S. women: 2006 behavioral Risk Factor Surveillance system.
    Journal of Womens Health, 2008
    Co-Authors: Lisa C. Mcguire, Ali H. Mokdad, Tara W. Strine, Stephanie Vachirasudlekha, Lynda A. Anderson
    Abstract:

    ABSTRACT Depression, a type of mood disorder, is associated with psychological distress and suffering, and it can lead to impairments in physical, mental, and social functioning. The goal of this commentary is to provide an estimate of the prevalence of current depression and lifetime diagnosis for 14,425 community-dwelling U.S. women aged 65 and older. Using information from the 2006 Behavioral Risk Factor Surveillance System (BRFSS), participants reported their lifetime diagnosis of depression and completed the Patient Health Questionnaire 8 to assess current depression and its severity. Our findings indicate that 5.9% of women 65 years old and older have current depression, 94.1% reported either no depressive symptoms or mild depressive symptoms, and 12.3% reported a lifetime diagnosis of depression. Mental health is integral to overall health and well-being and should be treated in older women with the same urgency as physical health. Depression is a mental health issue of particular concern for women...

  • Peer Reviewed: Obesity and Diabetes in Jordan: Findings From the Behavioral Risk Factor Surveillance System, 2004
    Preventing Chronic Disease, 2007
    Co-Authors: Henry Walke, Ali H. Mokdad, Meyasser Zindah, Adel Belbeisi
    Abstract:

    Introduction Chronic diseases are the leading cause of morbidity and mortality in Jordan. The Jordanian Ministry of Health, in collaboration with the Centers for Disease Control and Prevention, established a behavioral Risk Factor Surveillance system to monitor the behavioral Risk Factors associated with chronic diseases.

  • aspirin use among u s adults behavioral Risk Factor Surveillance system
    American Journal of Preventive Medicine, 2006
    Co-Authors: Umed A. Ajani, Earl S. Ford, Kurt J Greenland, Wayne H Giles, Ali H. Mokdad
    Abstract:

    Background The role of aspirin in prevention of cardiovascular disease (CVD) and cardiovascular complications among people with diabetes has been examined. A Healthy People 2010 objective calls for increasing the proportion of people with diabetes aged ≥40 years who take aspirin ≥15 times per month. Methods Data from 2003 Behavioral Risk Factor Surveillance System were used to examine (1) the prevalence of aspirin intake, (2) aspirin use among those with CVD, (3) aspirin use among those with diabetes, (4) current status with respect to Healthy People objective 5-16, and (5) changes in aspirin intake from 1999. Results Daily or every-other-day aspirin use was reported by 36.2% of participants in 2003. Aspirin intake among those with CVD and diabetes was 82.8% and 62.6%, respectively. The Healthy People 2010 objective of increasing the proportion of adults with diabetes aged ≥40 years who take aspirin to 30% was achieved. The prevalence of aspirin intake was higher in 2003 compared to 1999 among all participants, those with CVD, and those with diabetes (relative increase of about 20%, 12%, and 36%, respectively). Most participants (74%) reported cardiovascular reasons for aspirin use. Among those without CVD or diabetes, the prevalence of aspirin intake increased with the increasing number of CVD Risk Factors. Conclusions Regular aspirin use increased over a 4-year period. Greater use of inexpensive and easily accessible interventions to prevent cardiovascular events is encouraging. Increased efforts to continue preventive uses of available treatment and reduction in Risk by modifying other Risk Factors will help lower future disease burden.

Keith Denny - One of the best experts on this subject based on the ideXlab platform.

  • Enhancing capacity for Risk Factor Surveillance at the regional/local level: a follow-up review of the findings of the Canadian Think Tank Forum after 4 years
    Archives of Public Health, 2014
    Co-Authors: Bernard Ck Choi, Mary Lou Decou, Drona Rasali, Patricia J Martens, Michelina Mancuso, Ronald C Plotnikoff, Cory Neudorf, Joanne Thanos, Lawrence W Svenson, Keith Denny
    Abstract:

    Background National health surveys are sometimes used to provide estimates on Risk Factors for policy and program development at the regional/local level. However, as regional/local needs may differ from national ones, an important question is how to also enhance capacity for Risk Factor Surveillance regionally/locally. Methods A Think Tank Forum was convened in Canada to discuss the needs, characteristics, coordination, tools and next steps to build capacity for regional/local Risk Factor Surveillance. A series of follow up activities to review the relevant issues pertaining to needs, characteristics and capacity of Risk Factor Surveillance were conducted. Results Results confirmed the need for a regional/local Risk Factor Surveillance system that is flexible, timely, of good quality, having a communication plan, and responsive to local needs. It is important to conduct an environmental scan and a gap analysis, to develop a common vision, to build central and local coordination and leadership, to build on existing tools and resources, and to use innovation. Conclusions Findings of the Think Tank Forum are important for building Surveillance capacity at the local/county level, both in Canada and globally. This paper provides a follow-up review of the findings based on progress over the last 4 years.

  • Enhancing capacity for Risk Factor Surveillance at the regional/local level: a follow-up review of the findings of the Canadian Think Tank Forum after 4 years
    Archives of public health, 2014
    Co-Authors: Bernard Ck Choi, Mary Lou Decou, Drona Rasali, Patricia J Martens, Michelina Mancuso, Ronald C Plotnikoff, Cory Neudorf, Joanne Thanos, Lawrence W Svenson, Keith Denny
    Abstract:

    Background National health surveys are sometimes used to provide estimates on Risk Factors for policy and program development at the regional/local level. However, as regional/local needs may differ from national ones, an important question is how to also enhance capacity for Risk Factor Surveillance regionally/locally.