DOI: 10.3886/icpsr34085
title: Behavioral Risk Factor Surveillance System (BRFSS), 2003
title: Archival Version

description: The Behavioral Risk Factor Surveillance System (BRFSS) is a state-based system of health surveys that collects information on health risk behaviors, preventive health practices, and health care access primarily related to chronic disease and injury. For many states, the BRFSS is the only available source of timely, accurate data on health-related behaviors. BRFSS was established in 1984 by the Centers for Disease Control and Prevention (CDC); currently data are collected monthly in all 50 states, the District of Columbia, Puerto Rico, the United States Virgin Islands, and Guam. More than 350,000 adults are interviewed each year, making the BRFSS the largest telephone health survey in the world. States use BRFSS data to identify emerging health problems, establish and track health objectives, and develop and evaluate public health policies and programs. The BRFSS is a cross-sectional telephone survey conducted by state health departments with technical and methodologic assistance provided by CDC. States conduct monthly telephone surveillance using a standardized questionnaire to determine the distribution of risk behaviors and health practices among adults. Responses are forwarded to CDC, where the monthly data are aggregated for each state, returned with standard tabulations, and published at the year's end by each state. The BRFSS questionnaire was developed jointly by CDC's Behavioral Surveillance Branch (BSB) and the states. When combined with mortality and morbidity statistics, these data enable public health officials to establish policies and priorities and to initiate and assess health promotion strategies.
description: BRFSS Weighting Formula FINALWT = STRWT * 1 OVER NPH * NAD * POSTSTRAT The computational formula above is intended to reflect all the possible factors that could be taken into account in weighting a state's data. Where a factor does not apply its value is set to one. FINALWT is the final weight assigned to each respondent. STRWT accounts for differences in the basic probability of selection among strata (subsets of area code/prefix combinations). It is the inverse of the sampling fraction of each stratum. There is almost never a complete correspondence between strata, which are defined by subsets of area code/prefix combinations, and regions, which are defined by the boundaries of government entities. 1/NPH is the inverse of the number of residential telephone numbers in the respondent's household. NAD is the number of adults in the respondent's household. POSTSTRAT is the number of people in an age-by-gender or age-by-race-by-gender category in the population of a region or a state divided by the sum of the products of the preceding weights for the respondents in that same age-by-gender or age-by-race-by-gender category. It adjusts for non-coverage and non-response and, before 1995, also adjusts for different probabilities of selection by region, where applicable. <strong>Calculation of CHILDWT</strong> CHILDWT = STRWT * 1 OVER NPH * CHILDREN * POSTCH CHILDWT is the final weight assigned to each child. STRWT accounts for differences in the basic probability of selection among strata (subsets of area code/prefix combinations). It is the inverse of the sampling fraction of each stratum. There is almost never a complete correspondence between strata, which are defined by subsets of area code/prefix combinations, and regions, which are defined by the boundaries of government entities. 1/NPH is the inverse of the number of residential telephone numbers in the respondent's household. CHILDREN is the number of children (less than 18 years of age) in the respondent's household. POSTCH is the number of children in an age-by-gender or age-by-race-by-gender category in the population of a region or a state divided by the sum of the products of the preceding weights for the children in that same age-by-gender or age-by-race-by-gender category. It adjusts for non-coverage and non-response. <strong>Calculation of HOUSEWT</strong> HOUSEWT = STRWT * 1 OVER NPH * POSTHH HOUSEWT is the weight assigned to each household. STRWT accounts for differences in the basic probability of selection among strata (subsets of area code/prefix combinations). It is the inverse of the sampling fraction of each stratum. There is almost never a complete correspondence between strata, which are defined by subsets of area code/prefix combinations, and regions, which are defined by the boundaries of government entities. 1/NPH is the inverse of the number of residential telephone numbers in the household. POSTHH is the number of households in the population of a region or a state divided by the sum of the products of the preceding weights for the households in that same category. It adjusts for non-coverage and non-response.
description: Response Rates: Median overall response rate: 42.4 percent Please see the Summary Data Quality Report for more information.
description: Samples used in the BRFSS must be probability samples in which all households with telephones have a known, nonzero chance of inclusion, as stated in item #1 in Policy Memo 2003.1. All samples come from the Telecordia Technologies database and include all numbers in NXX Types 00, 50, 51, 52, and 54 in the sampling frame. <strong>Disproportionate stratified random sampling (DSS)</strong> With DSS, as implemented in the BRFSS beginning in 2003, telephone numbers are drawn from two strata (lists) that are based on the presumed density of known telephone household numbers. In this design, telephone numbers are classified into strata that are either high density (listed 1+ block telephone numbers) or medium density (not listed 1+ block telephone numbers) to yield residential telephone numbers. Telephone numbers in the high density stratum are sampled at the highest rate. The rate at which each stratum is sampled is called the sampling rate. The ratio of the sampling rate of one stratum to sampling rate of a reference stratum is called the sampling ratio. <strong>DSS Overview</strong> The DSS design attempts to find a way of differentiating, before sampling begins, between a set of telephone numbers that contains a large proportion of target numbers (the high-density block) and a set that contains a smaller proportion of target numbers (the medium-density block). It is possible to create more than two groups, but for BRFSS, only two groups are used. In this way, sampling telephone numbers is more efficient compared to simple random sampling. See user guide for more information.
description: Datasets: DS1: Behavioral Risk Factor Surveillance System (BRFSS), 2003
description: telephone interviewMore information on the BRFSS studies can be found on the Web site.