Literature DB >> 2000859

Reliability of the behavioral risk factor survey in a triethnic population.

S Shea1, A D Stein, R Lantigua, C E Basch.   

Abstract

The Behavioral Risk Factor Survey (BRFS) is a telephone interview used widely by the Centers for Disease Control (CDC) in conjunction with state health departments to measure prevalences and time trends for health-related behaviors. We assessed the reliability of those parts of the BRFS related to cardiovascular disease (smoking, diet, obesity, exercise, and hypertension) and demographics by readministering the BRFS in July and August of 1989 to 145 randomly selected subjects between 10 and 21 days following completion of an initial interview. Sampling and data collection closely followed CDC procedures. The retest samples comprised 49 whites, 43 blacks, and 53 Hispanics living in northern Manhattan in New York City. Group prevalences or means were compared at first and second interviews for six demographic variables and 12 behavioral risk factor variables for the samples as a whole and separately for each ethnic group. All of these comparisons were highly consistent, and none showed a statistically significant difference. At the individual level, Pearson or kappa correlations for 19 questions related to demographics and behavioral risk factors other than diet were greater than or equal to 0.60 (p less than 0.001) for all except routine checkup in the past 2 years (kappa = 0.54; p less than 0.001) and blood pressure measured in the past 2 years (crude concordance, 96%; kappa = 0.23; p less than 0.01). For 17 food items, correlations for frequency of consumption ranged from 0.44 to 0.76 (p less than 0.01). For a composite index of diet "atherogenicity" based on the 17 food items, r = 0.62 (p less than 0.001). This test-retest reliability study of the BRFS showed high consistency at the group level and acceptable to high item reliability at the individual level for the parts of the BRFS related to demographics, cardiovascular behavioral risk factors, and a 17-item nutrition module. Findings were generally consistent in all three ethnic groups.

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Mesh:

Year:  1991        PMID: 2000859     DOI: 10.1093/oxfordjournals.aje.a115916

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  40 in total

1.  Prevalence of self-rated visual impairment among adults with diabetes.

Authors:  J B Saaddine; K M Narayan; M M Engelgau; R E Aubert; R Klein; G L Beckles
Journal:  Am J Public Health       Date:  1999-08       Impact factor: 9.308

2.  Measuring injury risk factors: question reliability in a statewide sample.

Authors:  J Koziol-McLain; D Brand; D Morgan; M Leff; S R Lowenstein
Journal:  Inj Prev       Date:  2000-06       Impact factor: 2.399

3.  A prospective investigation of the impact of smoking bans on tobacco cessation and relapse.

Authors:  D R Longo; J C Johnson; R L Kruse; R C Brownson; J E Hewett
Journal:  Tob Control       Date:  2001-09       Impact factor: 7.552

4.  The Behavioral Risk Factor Survey and the Stanford Five-City Project Survey: a comparison of cardiovascular risk behavior estimates.

Authors:  C Jackson; D E Jatulis; S P Fortmann
Journal:  Am J Public Health       Date:  1992-03       Impact factor: 9.308

5.  Effects of a community-based, professionally supervised intervention on physical activity levels among residents of Recife, Brazil.

Authors:  Eduardo J Simoes; Pedro Hallal; Michael Pratt; Luiz Ramos; Marcia Munk; Wilson Damascena; Diana Parra Perez; Christine M Hoehner; David Gilbertz; Deborah Carvalho Malta; Ross C Brownson
Journal:  Am J Public Health       Date:  2008-11-13       Impact factor: 9.308

6.  The Washington Heights-Inwood Healthy Heart Program: a 6-year report from a disadvantaged urban setting.

Authors:  S Shea; C E Basch; H Wechsler; R Lantigua
Journal:  Am J Public Health       Date:  1996-02       Impact factor: 9.308

7.  Validity and reliability in reporting sexual partners and condom use in a Swiss population survey.

Authors:  A Jeannin; E Konings; F Dubois-Arber; C Landert; G Van Melle
Journal:  Eur J Epidemiol       Date:  1998-02       Impact factor: 8.082

8.  The effect of follow-up on limiting non-participation bias in genetic epidemiologic investigations.

Authors:  P A Romitti; R G Munger; J C Murray; S Daack-Hirsch; J W Hanson; T L Burns
Journal:  Eur J Epidemiol       Date:  1998-02       Impact factor: 8.082

9.  Primary care experiences of medicare beneficiaries, 1998 to 2000.

Authors:  Jana E Montgomery; Julie T Irish; Ira B Wilson; Hong Chang; Angela C Li; William H Rogers; Dana Gelb Safran
Journal:  J Gen Intern Med       Date:  2004-10       Impact factor: 5.128

10.  Behavioral risk factors: a comparison of Latinos and non-Latino whites in San Francisco.

Authors:  E J Pérez-Stable; G Marín; B V Marín
Journal:  Am J Public Health       Date:  1994-06       Impact factor: 9.308

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