Methodology
for State-Level Estimates
Data Source
Estimates
were calculated using data from CDC's
Behavioral Risk Factor Surveillance System (BRFSS). The BRFSS is an
ongoing,
state-based telephone survey of the adult population of states.1,2
The survey
provides state-specific information on behavioral risk factors and
preventive
health practices.
Diabetes
prevalence and incidence
Respondents
were considered to be prevalent cases of
diabetes if they responded "yes" to the question, "Has a doctor,
nurse or other health professional ever told you that you have
diabetes?" Women
who indicated that
they only had diabetes during pregnancy were not considered to have
diabetes.
We calculated the prevalence rate by dividing the weighted number of
prevalent cases
by the total number of persons.
Prevalent
cases of diabetes were asked at what age
they were diagnosed. We calculated the number of years each person had
been
diagnosed with diabetes by subtracting the age at which they were
diagnosed
from their current age. Adults who had a value of zero were identified
as
having been diagnosed with diabetes within the last year. In addition,
half of
the adults who had a value of one were classified as having been
diagnosed with
diabetes within the last year. To calculate incidence, the numerator
was the
weighted number of adults who were diagnosed with diabetes within the
last year
and the denominator was the weighted estimate of adult population,
excluding
adults who had been diagnosed with diabetes for more than one year and
adults
who answered "refused," "don’t know," or had missing values
on the diabetes status question.
Diagnosed diabetes prevalence was calculated among adults aged 18 years and older. Prevalence estimates are based on single years of data. Diabetes incidence was calculated among adults aged 18 to 76 years. Incidence estimates are 3-year averages. The 2000 U.S. population was used as the standard for age adjustment for prevalence and incidence.
Physical
Inactivity and Obesity
Adults
who reported not participating in physical
activity or exercise in the past 30 days were considered to be
physically
inactive. Self-reported weight and
height were used to calculate body mass index (BMI): weight in
kilograms
divided by the square of height in meters. A BMI greater than or equal
to 25
was considered to be overweight or obese, a BMI of greater than or
equal to 30
was considered to be obese.
Estimates of physical inactivity and obesity were calculated among adults aged 18 years and older. Estimates are based on single years of data. The 2000 U.S. population was used as the standard for age adjustment.
Prior to year 2000, the physical inactivity question was rotated in and out of the core BRFSS questionnaire. When not part of the BRFSS core in odd years, the physical inactivity question was part of an optional BRFSS module. As a result, only a few states have physical inactivity data for years 1995, 1997, and 1999. Beginning in 2000, the physical inactivity question no longer rotated off the BRFSS core.
Persons residing in nursing homes and in households without telephones are not included in this survey; therefore, these results cannot be generalized to those segments of the population. Because the BRFSS is a telephone survey, bias may be introduced because households without telephones are not included. Although telephone coverage is generally high, non-coverage may be high for certain population groups. For example, American Indians, rural blacks in some southern states, and persons in lower socioeconomic groups typically have lower telephone coverage (1,3,4). All data in the BRFSS are obtained by self-report and are subject to recall bias or may be underreported or overreported. Self-report of diagnosed diabetes, physical inactivity and sociodemographic characteristics are highly accurate (5-7).However, about one-third of persons with diabetes do not know they have it.8 Reliance on self-reported heights and weights to calculate the BMI is likely to underestimate average BMI and the proportion of the population in higher BMI categories in population surveys.9
Data DownloadExcel files with county estimates for the entire nation and
for each state are available for downloading. Click on the Download
Data button then select an indicator. Next, you will
select either the nation, which contains data for all the
states, or individual state data that you want to download.
The files are saved in XML format but can be easily opened
and viewed in Excel. If you wish to import the data into
statistical software, you will need to save the XML file as an XLS file
in Excel.
1. Centers for Disease Control and Prevention. Survey
methodology. In: Behavioral Risk Factor Surveillance System
Operational and User's Guide. Atlanta: U.S. Department of
Health and Human Services, Centers for Disease Control and
Prevention; 2006. ftp://ftp.cdc.gov/pub/Data/Brfss/userguide.pdf [PDF–986KB]
Accessed October 10, 2012.
2.
CDC. Health Risks in the United States.
Behavioral Risk Factor Surveillance System: At a glance, 2010 Web site.
http://www.cdc.gov/chronicdisease/resources/publications/AAG/brfss.htm.
6.
Stein AD, Courval JM, Lederman RI, Shea S.
Reproducibility of responses to telephone interviews: demographic
predictors of
discordance in risk factor status. American Journal of Epidemiology. 1996;141:1097-1106.
7.
Harada ND, Chiu V, King AC, Stewart AL. An
evaluation of three self-report physical activity instruments for older
adults.
Medicine & Science in Sports & Exercise.
2001;33(6):962-970.
8. Centers for Disease Control and Prevention. National Diabetes Fact Sheet: National Estimates and General Information on Diabetes and Prediabetes in the United States, 2011. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2011.
9.
Cameron R, Evers SE. Self-report issues in obesity
and weight management: State of the art and future directions.
Behavioral
Assessment. 1990;12(1):91-106.
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