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ackground
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Established in 1984, CDC’s Behavioral Risk Factor
Surveillance System (BRFSS) has helped states survey U.S.
adults to gather information about a wide range of behaviors
that affect their health. The primary focus of these surveys
has been on behaviors and conditions that are linked with
the leading causes of death—heart disease, cancer, stroke,
diabetes, and injury—and other important health issues.
The BRFSS is a state-based system that is used to gather
information through telephone surveys conducted by the
health departments of all 50 states, the District of
Columbia, Puerto Rico, the Virgin Islands, and Guam, with
assistance from CDC. The BRFSS is the world’s largest
continuously conducted telephone health surveillance system,
which conducts more than 350,000 interviews per year. States
use BRFSS data to identify emerging health problems,
establish health objectives and track their progress toward
meeting them, and develop and evaluate public health polices
and programs to address identified problems. Many states
also use BRFSS data to support health-related legislative
efforts.
The BRFSS is the primary source of data for local entities,
states, and the nation on the health-related behaviors of
adults. States collect data through monthly telephone
interviews with noninstitutionalized adults aged 18 years
and older. BRFSS interviewers ask questions related to
behaviors that are associated with preventable chronic
diseases, injuries, and infectious diseases.
The BRFSS allows states the flexibility to add questions
specific to their needs. At the same time, standard core
questions on the survey enable health professionals to make
comparisons among states and local areas and also to reach
conclusions about the nation as a whole. BRFSS data also
highlight state-to-state differences in key health issues.
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ontent
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BRFSS includes a variety of
content applications:
The Chronic Disease
Indicators (CDI) is a cross-cutting set of 90 indicators
that were developed by consensus and that allows states and
territories to uniformly define, collect, and report chronic
disease data that are important to public health practice
and available at the state level. In addition to providing
access to state-specific indicator data, the CDI web site
serves as a gateway to additional information and data
resources. Categories of Indicators include: Physical
Activity and Nutrition, Tobacco and Alcohol; Cancer;
Cardiovascular Disease; Diabetes; Arthritis; Overarching
Conditions; and Other Diseases and Risk Factors. The Cronic
Disease Indicators can be accessed at:
http://apps.nccd.cdc.gov/cdi/
Prevalence and Trends Data:
BRFSS data can be searched by State, Year and the following
prevalence and trends categories: Alcohol Consumption,
Arthritis, Asthma, Cardiovascular Disease, Cholesterol
Awareness, Colrectal Screening, Demographics, Diabetes,
Disability, Exercise, Fruits & Vegetables, Healthcare
Access/Coverage, Health Status, Hypertension Awareness,
Immunization, Oral Health, Overweight and Obesity, Physical
Activity, Prostate Cancer, Tobacco Use, and Women's Health.
The
Selected Metropolitan/Micropolitan Area Risk Trends (SMART)
project has been introduced to use BRFSS to analyze the data
of selected metropolitan and micropolitan statistical areas
(MMSAs) with 500 or more respondents. BRFSS data can be used
to identify emerging health problems, establish and track
health objectives, and develop and evaluate public health
policies and programs. BRFSS, CDC is able to provide data on
specific risks for some communities.
BRFSS Maps
interactive Web site, is a new resource which graphically
displays the prevalence of behavioral risk factors at state
and MMSA levels. This tool is revolutionizing the way people
at local, state, and federal levels use BRFSS data by
providing easy access to specific examples important to
local communities.
BRFSS added a Web-Enabled Analysis Tool (WEAT) in 2007. WEAT
is an online application that analyzes data using a variety
of statistical methods. Users are able to run
cross-tabulation and logistic regression.
In 2008, BRFSS implemented the Cell Phone Pilot Survey in 21
states. By including cell phones in the survey, BRFSS is
able to reach segments of the population that were
previously inaccessible—those who had a cell phone but not a
landline—and producing a more representative sample and
higher quality data.
In 2009, 45 states will be using the pandemic influenza
module. BRFSS will be prepared to provide local, state, and
federal public health officials with vital information to
help guide pandemic decision making and planning.
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ethodologies
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Detailed information on overall
survey methodology is available in the BRFSS The User's Guide,
which addresses: Processes of the BRFSS; Data collection
and management; Survey protocol; Quality assurance, funding;
Staffing; Data use and promotion; Questionnaire development;
Reference material; Survey methodology; and Tips and pointers
from the states. The User's Guide is available at:
ftp://ftp.cdc.gov/pub/Data/Brfss/userguide.pdf
In 2007, the BRFSS has increased
the number of adults interviewed in each state, with the average
number of participants per state increasing to 7,980, compared
with 6,712 in 2006. This increase allows states to provide local
data and to use split sampling, in which different portions of
the sample population answer different sets of BRFSS questions.
As a result, states can collect BRFSS data on a wider range of
topics each year.
The following is the
computational formula and description of factors that can be
taken into account when weighting a state's data for the
BRFSS Annual Survey:
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.
Calculation of CHILDWT (the final
weight assigned to each child):
CHILDWT = STRWT * 1 OVER NPH * CHILDREN * POSTCH
- 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.
Calculation of HOUSEWT (the
weight assigned to each household)
HOUSEWT = STRWT * 1 OVER NPH * POSTHH
- 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.
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