Skip to main content

Risk Factors Affecting Multiple-Disease Efficacy and Effectiveness of Intervention Programs

  • Chapter

Part of the book series: Springer Series in Statistics ((SBH))

Abstract

An important issue in public health planning is the assessment of efforts to reduce the mortality, disability, and morbidity associated with chronic diseases through the modification and control of life-style, occupational, and environmental risk factors. Evaluation of the effects of a health intervention for chronic diseases, however, is complicated for two reasons. First, the simultaneous action of the health intervention with other factors such as changes in population composition, in the distribution of different risk factors, and so forth, may mask the health effects of the intervention. For example, an intervention may serve only to partially offset the negative effects of, for example, an aging population. Without proper adjustment in the analysis for these simultaneous effects, the intervention may be interpreted to actually have had negative effects on health. Second, the positive effects of the intervention may take many years before they become manifest. One reason for this lag is that the intervention must first diffuse through the population. As documented in both sociological and anthropological studies, the diffusion process may be slow, with the desired changes in population health behavior not visible for many years. This lag period is further increased because, even after the contents of the intervention program have been diffused, the resulting behavioral changes do not immediately improve the individual’s health. For example, a smoking cessation program may take years before significant numbers of individuals quit. Then, after quitting, there is still a period of time before the physiological benefits produced by smoking cessation become manifest.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Chiang, C.L. 1968. Introduction to Stochastic Processes in Biostatistics. New York: Wiley.

    MATH  Google Scholar 

  • Manton, K.G., and Stallard, E. 1988. Chronic Disease Modelling: Measurement and Evaluation of the Risks of Chronic Disease Processes. London: Charles Griffin.

    Google Scholar 

  • Manton, K.G., Stallard, E., and Woodbury, M.A. 1986. Chronic disease evolution and human aging: A general model for assessing the impact of chronic disease in human populations. Mathematical Modelling 7: 1155–1171.

    Article  MathSciNet  MATH  Google Scholar 

  • Peto, R. 1986. Influences of dose and duration of smoking on lung cancer rates. In Tobacco: A Major International Health Hazard. Lyon, France: International Agency for Research on Cancer.

    Google Scholar 

  • Peto, R., Roe, F.J., Lee, P.N., Levy, L., and Clack, J. 1975. Cancer and aging in mice and men. British Journal of Cancer 32: 411–425.

    Article  Google Scholar 

  • Rogers, E.M. 1984. Diffusion of Innovations. New York: Free Press.

    Google Scholar 

  • Schwartz, J.L. 1987. Smoking cessation methods: The United States and Canada 1978–1985. USDHHS, NIH Publication No. 87–2940. Washington, DC: USGPO.

    Google Scholar 

  • Tolley, H.D., and Manton, K.G. 1991. Intervention effects among a collection of risks. Transactions of the Society of Actuaries 43 (Preprint 1): 117–142.

    Google Scholar 

  • U.S. Surgeon General. 1984. The Health Consequences of Smoking. USDHHS, pp. 207–213. Washington, DC: USGPO.

    Google Scholar 

  • Weinstein, M.C., Coxson, P.G., Williams, L.W., Pass, T.M., Stason, W.B., and Goldman, L. 1987. Forecasting coronary heart disease incidence, mortality and cost: The Coronary Heart Disease Policy Model. American Journal of Public Health 77: 1417–1426.

    Article  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag New York, Inc.

About this chapter

Cite this chapter

Tolley, H.D., Manton, K.G., Bumgarner, J.R. (1993). Risk Factors Affecting Multiple-Disease Efficacy and Effectiveness of Intervention Programs. In: Manton, K.G., Singer, B.H., Suzman, R.M. (eds) Forecasting the Health of Elderly Populations. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9332-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-9332-0_8

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-9334-4

  • Online ISBN: 978-1-4613-9332-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics