Literature DB >> 2841712

Design, characteristics, and usefulness of state-based behavioral risk factor surveillance: 1981-87.

P L Remington1, M Y Smith, D F Williamson, R F Anda, E M Gentry, G C Hogelin.   

Abstract

Since 1981, the Centers for Disease Control has collaborated with State health departments and the District of Columbia to conduct random digit-dialed telephone surveys of adults concerning their health practices and behaviors. This State-based surveillance system, which yields data needed in planning, initiating, and supporting health promotion and disease prevention programs, is described in this paper. Standard methods and questionnaires were used to assess the prevalence of personal health practices and behaviors related to the leading causes of death, including seatbelt use, high blood pressure control, physical activity, weight control, cigarette smoking, alcohol use, drinking and driving, and preventive health practices. Between 1981 and 1983, 29 States (includes the District of Columbia) conducted one-time telephone surveys. Beginning in 1984, most States began collecting data continuously throughout the year, completing approximately 100 interviews per month (range 50-250), with an average of 1,200 completed interviews per year (range 600-3,000). The raw data were weighted to the age, race, and sex distribution for each State from the 1980 census data. This weighting accounts for the underrepresentation of men, whites, and younger persons (18-24 years) in the telephone surveys and, for many health practices, provides prevalence estimates comparable with estimates obtained from household surveys. Nearly all (86 percent) of the States distributed selected survey results to other State agencies, local health departments, voluntary organizations, hospitals, universities, State legislators, and the press. The majority (60 percent) of States used information from the surveys to set State health objectives, prepare State health planning documents, and plan a variety of programs concerning antismoking, the prevention of chronic diseases, and health promotion. Further, nearly two-thirds (65 percent) used results to support legislation, primarily related to the use of tobacco and seatbelts. Most of the States (84 percent) reported that alternative sources for such data (prevalence of behavioral risk factors) were unavailable. Currently in 1988, over 40 State health departments are conducting telephone surveys as part of the Behavioral Risk Factor Surveillance System. This system has proved to be (a) flexible--it provides data on emerging public health problems, such as smokeless tobacco use and AIDS, (b) timely--it provides results within a few months after the data are collected, and (c) affordable--it operates at a fraction of the cost of comparable statewide in-person surveys. The system enables State public health agencies to continue to plan,initiate, and guide statewide health promotion and disease prevention programs and monitor their progress over time.

Entities:  

Mesh:

Year:  1988        PMID: 2841712      PMCID: PMC1478092     

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  13 in total

1.  The surveillance of communicable diseases of national importance.

Authors:  A D LANGMUIR
Journal:  N Engl J Med       Date:  1963-01-24       Impact factor: 91.245

2.  The reporting of communicable diseases.

Authors:  R Marier
Journal:  Am J Epidemiol       Date:  1977-06       Impact factor: 4.897

3.  The role of public opinion polling in health legislation.

Authors:  H Perlstadt; R E Holmes
Journal:  Am J Public Health       Date:  1987-05       Impact factor: 9.308

4.  The behavioral risk factor surveys: I. State-specific prevalence estimates of behavioral risk factors.

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

5.  Personal versus telephone surveys for collecting household health data at the local level.

Authors:  M F Weeks; R A Kulka; J T Lessler; R W Whitmore
Journal:  Am J Public Health       Date:  1983-12       Impact factor: 9.308

Review 6.  Economic incentives for health.

Authors:  K E Warner; H A Murt
Journal:  Annu Rev Public Health       Date:  1984       Impact factor: 21.981

7.  The surveillance of infectious diseases.

Authors:  S B Thacker; K Choi; P S Brachman
Journal:  JAMA       Date:  1983-03-04       Impact factor: 56.272

8.  Status of nutrition surveillance activities in 24 State and metropolitan health departments.

Authors:  J C Scheer; L S Sims
Journal:  Public Health Rep       Date:  1983 Jul-Aug       Impact factor: 2.792

9.  Progress toward meeting the 1990 nutrition objectives for the nation: nutrition services and data collection in state/territorial health agencies.

Authors:  M Kaufman; J Heimendinger; S Foerster; M A Carroll
Journal:  Am J Public Health       Date:  1987-03       Impact factor: 9.308

10.  Current smoking trends in the United States. The 1981-1983 behavioral risk factor surveys.

Authors:  P L Remington; M R Forman; E M Gentry; J S Marks; G C Hogelin; F L Trowbridge
Journal:  JAMA       Date:  1985 May 24-31       Impact factor: 56.272

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  108 in total

1.  Estimating the proportion of homes with functioning smoke alarms: a comparison of telephone survey and household survey results.

Authors:  M R Douglas; S Mallonee; G R Istre
Journal:  Am J Public Health       Date:  1999-07       Impact factor: 9.308

2.  Trends in fruit and vegetable consumption among adults in 16 US states: Behavioral Risk Factor Surveillance System, 1990-1996.

Authors:  R Li; M Serdula; S Bland; A Mokdad; B Bowman; D Nelson
Journal:  Am J Public Health       Date:  2000-05       Impact factor: 9.308

3.  Proxy reliability: health-related quality of life (HRQoL) measures for people with disability.

Authors:  E M Andresen; V J Vahle; D Lollar
Journal:  Qual Life Res       Date:  2001       Impact factor: 4.147

4.  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

5.  Subgroup-specific effects of questionnaire wording on population-based estimates of mammography prevalence.

Authors:  P Z Siegel; J R Qualters; P D Mowery; S Campostrini; C Leutzinger; D V McQueen
Journal:  Am J Public Health       Date:  2001-05       Impact factor: 9.308

6.  Health care coverage and use of preventive services among the near elderly in the United States.

Authors:  E Powell-Griner; J Bolen; S Bland
Journal:  Am J Public Health       Date:  1999-06       Impact factor: 9.308

7.  Weight loss counseling by health care providers.

Authors:  H Nawaz; M L Adams; D L Katz
Journal:  Am J Public Health       Date:  1999-05       Impact factor: 9.308

8.  Predicting geographical variations in behavioural risk factors: an analysis of physical and mental healthy days.

Authors:  H Jia; P Muennig; E I Lubetkin; M R Gold
Journal:  J Epidemiol Community Health       Date:  2004-02       Impact factor: 3.710

9.  Differential correlates of physical activity in urban and rural adults of various socioeconomic backgrounds in the United States.

Authors:  S E Parks; R A Housemann; R C Brownson
Journal:  J Epidemiol Community Health       Date:  2003-01       Impact factor: 3.710

10.  Chronic disease control in public health practice: looking back and moving forward.

Authors:  Ross C Brownson; Frank S Bright
Journal:  Public Health Rep       Date:  2004 May-Jun       Impact factor: 2.792

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