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1 nary disease (COPD) using 2011 data from the Behavioral Risk Factor Surveillance System.
2                       Data are from the 2010 Behavioral Risk Factor Surveillance System.
3 Population Survey and 192,148 persons in the Behavioral Risk Factor Surveillance System.
4  of residence to control subjects, using the Behavioral Risk Factor Surveillance System.
5 nership data were obtained through the CDC's Behavioral Risk Factor Surveillance System.
6 ducted from 1991 through 2000 as part of the Behavioral Risk Factor Surveillance System.
7 ing a modified version of the methods of the Behavioral Risk Factor Surveillance System.
8                                    Using the Behavioral Risk Factor Surveillance System (1993-2012),
9 lf-reported risk factor status in the BRFSS (Behavioral Risk Factor Surveillance System) 2009-2010 wa
10                                          The Behavioral Risk Factor Surveillance System, a random-dig
11 rthritis age 45 years or older from the 2001 Behavioral Risk Factor Surveillance System, an ongoing,
12 mples due to cell-phone-only households, the Behavioral Risk Factor Surveillance System (BRFSS) expan
13  adults aged 30 years and older and from the Behavioral Risk Factor Surveillance System (BRFSS) from
14 eted mailed questionnaires that included the Behavioral Risk Factor Surveillance System (BRFSS) HRQOL
15  estimates of tobacco and alcohol use in the Behavioral Risk Factor Surveillance System (BRFSS) in a
16 a population estimates from the 2011 to 2012 Behavioral Risk Factor Surveillance System (BRFSS) surve
17                           Data from the 2014 Behavioral Risk Factor Surveillance System (BRFSS) were
18 ingle-stage surveys such as that used in the Behavioral Risk Factor Surveillance System (BRFSS), wher
19 ed this methodology against that of the 2011 Behavioral Risk Factor Surveillance System (BRFSS).
20 Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System (BRFSS).
21 rted data on hypertension diagnosis from the Behavioral Risk Factor Surveillance System can be used t
22 ification model-based SAEs using single-year Behavioral Risk Factor Surveillance System data are vali
23                     In analyses of 2006-2009 Behavioral Risk Factor Surveillance System data from 21
24 ession and poststratification SAEs from 2011 Behavioral Risk Factor Surveillance System data using di
25                        Whereas data from the Behavioral Risk Factor Surveillance System demonstrate t
26 oss-sectional analysis of data from the 2002 Behavioral Risk Factor Surveillance System, drawn from a
27 y state departments of education, and in the Behavioral Risk Factor Surveillance System for adults, w
28 ensus, and smoking status estimates from the Behavioral Risk Factor Surveillance System in 2012.
29           We analyzed adult responses to the Behavioral Risk Factor Surveillance System in 31 states
30                Data were taken from the 2012 Behavioral Risk Factor Surveillance System (n = 439,637)
31 nal Health and Nutrition Examination Survey, Behavioral Risk Factor Surveillance System, National Hea
32              This study examines a 2005-2008 Behavioral Risk Factor Surveillance System random sample
33 dental preventative care, using 2008 Florida Behavioral Risk Factor Surveillance System survey data.
34 nd compared using data from the 2007 Florida Behavioral Risk Factor Surveillance System Survey to ass
35 health care using data from the 2008 Florida Behavioral Risk Factor Surveillance System Survey.
36 229 younger adults (aged 18-64 years) in the Behavioral Risk Factors Surveillance System Survey and i
37 ents 40 years and older participating in the Behavioral Risk Factor Surveillance System surveys betwe
38 were aggregated at the county level from the Behavioral Risk Factor Surveillance System surveys excep
39 individual-level data were obtained from the Behavioral Risk Factor Surveillance System surveys.
40 mail surveys (n = 3,010) with those from the Behavioral Risk Factor Surveillance System telephone sur
41 study conducted in six states as part of the Behavioral Risk Factor Surveillance System, the authors
42 revalence was then merged with data from the Behavioral Risk Factor Surveillance System, the largest,
43 n from population-based surveys, such as the Behavioral Risk Factor Surveillance System; the collecti
44                          Using data from the Behavioral Risk Factor Surveillance System, they conside
45 relationship to identical variables from the Behavioral Risk Factor Surveillance System to estimate s
46 lth and Nutrition Examination Survey and the Behavioral Risk Factor Surveillance System to examine ri

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