Literature DB >> 12893624

A comparison of national estimates from the National Health Interview Survey and the Behavioral Risk Factor Surveillance System.

David E Nelson1, Eve Powell-Griner, Machell Town, Mary Grace Kovar.   

Abstract

OBJECTIVES: The purpose of this study was to compare national estimates from the National Health Interview Survey (NHIS) and the Behavioral Risk Factor Surveillance System (BRFSS).
METHODS: The authors compared data from the 2 surveys on smoking, height, weight, body mass index, diabetes, hypertension, immunization, lack of insurance coverage, cost as a barrier to medical care, and health status.
RESULTS: Overall national estimates were similar for 13 of the 14 measures examined. Small differences according to demographic characteristics were found for height and body mass index, with larger differences for health status.
CONCLUSIONS: Although estimates differed within subgroups, the BRFSS provided national estimates comparable to those of the NHIS. BRFSS national data could provide rapidly available information to guide national policy and program decisions.

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Year:  2003        PMID: 12893624      PMCID: PMC1447966          DOI: 10.2105/ajph.93.8.1335

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  16 in total

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3.  Health promotion data for state health departments: telephone versus in-person survey estimates of smoking and alcohol use.

Authors:  R F Anda; D L Dodson; D F Williamson; P L Remington
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4.  Reporting bias in height and weight data.

Authors:  M L Rowland
Journal:  Stat Bull Metrop Insur Co       Date:  1989 Apr-Jun

5.  Anthropometric reference data and prevalence of overweight, United States, 1976-80.

Authors:  M F Najjar; M Rowland
Journal:  Vital Health Stat 11       Date:  1987-10

6.  Validation of self-report of influenza and pneumococcal vaccination status in elderly outpatients.

Authors:  R Mac Donald; L Baken; A Nelson; K L Nichol
Journal:  Am J Prev Med       Date:  1999-04       Impact factor: 5.043

7.  State smoking prevalence estimates: a comparison of the Behavioral Risk Factor Surveillance System and current population surveys.

Authors:  D R Arday; S L Tomar; D E Nelson; R K Merritt; M W Schooley; P Mowery
Journal:  Am J Public Health       Date:  1997-10       Impact factor: 9.308

8.  Trends in overweight among US adults from 1987 to 1993: a multistate telephone survey.

Authors:  D A Galuska; M Serdula; E Pamuk; P Z Siegel; T Byers
Journal:  Am J Public Health       Date:  1996-12       Impact factor: 9.308

9.  The behavioral risk factor surveys: II. Design, methods, and estimates from combined state data.

Authors:  E M Gentry; W D Kalsbeek; G C Hogelin; J T Jones; K L Gaines; M R Forman; J S Marks; F L Trowbridge
Journal:  Am J Prev Med       Date:  1985 Nov-Dec       Impact factor: 5.043

10.  Hypertension prevalence and the status of awareness, treatment, and control in the United States. Final report of the Subcommittee on Definition and Prevalence of the 1984 Joint National Committee.

Authors: 
Journal:  Hypertension       Date:  1985 May-Jun       Impact factor: 10.190

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  122 in total

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Authors:  William W Davis; Van L Parsons; Dawei Xie; Nathaniel Schenker; Machell Town; Trivellore E Raghunathan; Eric J Feuer
Journal:  Public Health Rep       Date:  2010 Jul-Aug       Impact factor: 2.792

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6.  Assessment of age-related differences in smoking status and health-related quality of life (HRQoL): Findings from the 2016 Behavioral Risk Factor Surveillance System.

Authors:  Shanta R Dube; Jin Liu; Amy Z Fan; Martin I Meltzer; William W Thompson
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7.  Smoking in 6 diverse Chicago communities--a population study.

Authors:  Jade L Dell; Steven Whitman; Ami M Shah; Abigail Silva; David Ansell
Journal:  Am J Public Health       Date:  2005-06       Impact factor: 9.308

8.  Telephone coverage and health survey estimates: evaluating the need for concern about wireless substitution.

Authors:  Stephen J Blumberg; Julian V Luke; Marcie L Cynamon
Journal:  Am J Public Health       Date:  2006-03-29       Impact factor: 9.308

9.  Education inequality and use of cigarettes, alcohol, and marijuana.

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10.  Adherence to cervical cancer screening guidelines for U.S. women aged 25-64: data from the 2005 Health Information National Trends Survey (HINTS).

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