Risk Factor Information Systems

  • Patrick W. O’Carroll
  • Eve Powell-Griner
  • Deborah Holtzman
  • G. David Williamson
Part of the Health Informatics book series (HI)


Risk factor data systems are a relatively recent addition to the information systems arsenal of public health professionals. These systems complement vital statistics data systems and many morbidity data systems by providing information on factors that lie earlier in the causal chain leading to serious illness, injury, or death. There is a great variety of risk factor systems in use at the present time: some are designed to produce estimates for use at the national or regional level, whereas others are state- or local-level systems. Some focus on “pure” (predisease) risk factors (e.g., risk-taking behavior), whereas others focus on early disease states that represent risk factors for subsequently more serious disease or death. Some systems are designed to give cross-cutting estimates of many risk factors for a given population and time period (e.g., the Youth Risk Behavior Surveillance System), whereas others focus on particular risk factors or conditions (e.g., the Drug Abuse Warning Network). The Behavioral Risk Factor Surveillance System is a very rich data system that has been in use for some years. In this chapter, it is discussed in detail to illustrate the breadth, depth, complexity, and myriad uses of risk factor data systems.


Behavioral Risk Factor Surveillance System State Health Department Risk Factor System Behavioral Risk Factor Surveillance System Data Youth Risk Behavior Surveillance System 
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  1. 1.
    Tyler CW, Last JM. Epidemiology. In: Wallace RB, Doebbeling BN, eds. Public Health and Preventive Medicine. Norwalk, CT: Appleton & Lange; 1988:5–33.Google Scholar
  2. 2.
    Trends in years of potential life lost before age 65 among whites and blacks—United States, 1919–1989. MMWR Morb Mortal Wkly Rep 1992;41:889–891.Google Scholar
  3. 3.
    National Center for Health Statistics. Health, United States, 2000. Hyattsville, MD: Centers for Disease Control and Prevention; 2000:123.Google Scholar
  4. 4.
    Centers for Disease Control and Prevention, Office on Smoking and Health. The Health Benefits of Smoking Cessation: A Report of the Surgeon General. DHHS Publication No. (CDC)90–8416. Washington, DC: Public Health Service; 1990.Google Scholar
  5. 5.
    Kannel WB. Fifty years of Framingham Study contributions to understanding hypertension. J Hum Hypertens. 2000;14:83–90.PubMedCrossRefGoogle Scholar
  6. 6.
    Wallace RB, Anderson RA. Blood lipids, lipid-related measures, and the risk of atherosclerotic cardiovascular disease. Epidemiol Rev 1987;9:95–119.PubMedGoogle Scholar
  7. 7.
    Luepker RV. Heart disease. In: Wallace RB, Doebbeling BN, eds. Public Health and Preventive Medicine. Norwalk, CT: Appleton & Lange; 1988:927–948.Google Scholar
  8. 8.
    Wulsin LR, Vaillant GE, Wells VE. A systematic review of the mortality of depression. Psychosom Med 1999;61:6–17.PubMedGoogle Scholar
  9. 9.
    Institute of Medicine. The Future of Public Health. Washington, DC: National Academy Press; 1988.Google Scholar
  10. 10.
    Fatal and nonfatal suicide attempts among adolescents—Oregon, 1988–1993. MMWR Morb Mortal Wkly Rep 1995;44:312–315, 321–323.Google Scholar
  11. 11.
    Roberts CD. Data quality of the Drug Abuse Warning Network. Am J Drug Alcohol Abuse. 1996;22:389–401.PubMedCrossRefGoogle Scholar
  12. 12.
    Swisher JD, Hu TW. A review of the reliability and validity of the Drug Abuse Warning Network. Int J Addict 1984;19:57–77.PubMedGoogle Scholar
  13. 13.
    Somer AR, Weisfeld VD. Individual behavior and health. In: Public Health and Preventive Medicine. Norwalk, CT: Appleton-Century-Crofts; 1986.Google Scholar
  14. 14.
    Remington PL, Smith MY, Williamson DF, Anda RF, Gentry EM, Hogelin GC. Design, characteristics and usefulness of state-based behavioral risk factor surveillance: 1981–1986. Public Health Rep 1988;103:366–375.PubMedCentralPubMedGoogle Scholar
  15. 15.
    Dillman DA. Which is best: The advantages and disadvantages of mail, telephone and face-to-face surveys. In: Mail and Telephone Surveys: The Total Design Method. New York: John Wiley and Sons; 1978:39–78.Google Scholar
  16. 16.
    Gentry EM, Remington PL, Hogelin GC, et al. The behavioral risk factor surveys: II. Design, methods and estimates from combined state data. Am J Prev Med. 1985;6:9–14.Google Scholar
  17. 17.
    Marks JS, Hogelin GC, Jones J, Gaines K, Forman M, Trowbridge MF. The behavioral risk factor surveys: I. State-specific prevalence estimates of behavioral risk factors. Am J Prev Med. 1985;6:1–8.Google Scholar
  18. 18.
    US Department of Health and Human Services. Healthy People 2010 (Conference Edition in Two Volumes). Washington, DC: US Department of Health and Human Services; January 2000.Google Scholar
  19. 19.
    Heath GW, Smith JD. Physical activity patterns of Georgia adults: Results from the 1990 behavioral risk factor surveillance system. South Med J. 1994;87:435–439.PubMedCrossRefGoogle Scholar
  20. 20.
    Wingard DL, Cohn BA. DES awareness and exposure: The 1994 California behavioral risk factor survey. Am J Prev Med. 1996;12:437–441.PubMedGoogle Scholar
  21. 21.
    Liu S, Siegel PZ, Brewer RD, Mokdad AH, Sleet DA, Serdula M. Prevalence of alcohol-impaired driving. Results from a national self-reported survey of health behaviors. JAMA 1997;35:1069–1078.Google Scholar
  22. 22.
    Siegel PZ, Brackbill RM, Heath GW. The epidemiology of walking: Implications for promoting physical activity among sedentary demographic groups. Am J Public Health. 1995;85:706–710.PubMedCentralPubMedCrossRefGoogle Scholar
  23. 23.
    Nelson DE, Grant-Worley JA, Powell K, Mercy J, Holtzman D. Population estimates of household firearm storage practices and firearm carrying in Oregon. JAMA. 1996;275:1744–1748.PubMedCrossRefGoogle Scholar
  24. 24.
    Arday DR, Tomar SL, Nelson DE, Merritt RK, Schooley MW, Mower R. State smoking prevalence estimates: A comparison between the Behavioral Risk Factor Surveillance System and Current Population Surveys. Am J Public Health 1997;87:1665–1669.PubMedCentralPubMedCrossRefGoogle Scholar
  25. 25.
    Giles WH, Croft JB, Keenan NL, Lane MJ, Wheeler FC. The validity of self-reported hypertension and correlates of hypertension awareness among blacks and whites within the stroke belt. Am J Prev Med 1995;11:163–169.PubMedGoogle Scholar
  26. 26.
    Cogswell ME, Nelson DE, Koplan JP. A comparison of health status in a large managed care organization to the general population. Health Aff (Millwood). 1997;16:219–227.CrossRefGoogle Scholar
  27. 27.
    GENESYS Sampling System, unpublished document, 1996.Google Scholar
  28. 28.
    Anderson JA, Nelson DE, Wilson RW. Telephone coverage and measurement of health risk indicators: Data from the National Health Interview Survey. Am J Public Health 1998;88:1392–1395.PubMedCentralPubMedCrossRefGoogle Scholar
  29. 29.
    Jackson C, Jatulis DE, Fortmann SP. The Behavioral Risk Factor Survey and the Stanford Five-City Project Survey: A comparison of cardiovascular risk behavior estimates. Am J Public Health 1992;82:412–416.PubMedCentralPubMedCrossRefGoogle Scholar
  30. 30.
    Bowlin SJ, Morrill BD, Nafziger AN, Lewis C, Pearson TA. Reliability and changes in validity of self-reported cardiovascular disease risk factors using dual response: The Behavioral Risk Factor Survey. J Clin Epidemiol 1996;49:511–517.PubMedCrossRefGoogle Scholar
  31. 31.
    Groves RM, Lyberg LE. An overview of nonresponse issues in telephone surveys. In: Groves RM, et al. eds. Telephone Survey Methodology. New York: John Wiley; 1988:191–212.Google Scholar
  32. 32.
    Groves RM, Kahn RL. Surveys by Telephone: A National Comparison with Personal Interviews. New York: Academic Press; 1979.Google Scholar

Copyright information

© Springer-Verlag New York, Inc. 2003

Authors and Affiliations

  • Patrick W. O’Carroll
  • Eve Powell-Griner
  • Deborah Holtzman
  • G. David Williamson

There are no affiliations available

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