Pathways to Health Behavior

  • Patricia J. Bush
  • Ronald J. Iannotti

Abstract

As an analytic technique, path analysis is fortuitously named. Compared to others, e.g., LISREL, logit, probit, or discrimination, path analysis provides intuitive insight into its purpose and procedure, and on a level that nonstatisticians can readily appreciate. The word path suggests starting at one point and proceeding in one direction to another. It is only necessary to add the idea of causation, that having been caused to arrive at one point in the path, there is a nonzero probability of proceeding forward to another, to grasp the essence of path analysis. When the end point of the path is a health behavior and one wishes to test a theory about why that health behavior varies in a population, i.e., why some do it and some do not, or why some do it more often than others, the causal pathway is an attractive concept. Path analysis provides a mathematical way, through a series of equations, to test a hypothesized chain of events or conditions.

Keywords

Health Behavior Illicit Drug Path Analysis Path Coefficient Physician Visit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Andersen, R. (1968). A behavioral model of families’ use of health services (Research Series No. 25). Chicago: Center for Health Administration Studies.Google Scholar
  2. Andersen, R., & Aday, L. A. (1978). Access to medical care in the U.S.: Realized and potential. Medical Care, 16, 533–546.PubMedCrossRefGoogle Scholar
  3. Andersen, R., & Newman, J. F. (1973). Societal and individual determinants of medical care utilization in the United States. Milbank Memorial Fund Quarterly, 44, 94–124.Google Scholar
  4. Becker, M. H., Maiman, L. A., Kirscht, J. P., Haefner, D. P., & Drachman, R. H. (1977). The health belief model and prediction of dietary compliance: A field experiment. Journal of Health and Social Behavior, 18, 348–366.PubMedCrossRefGoogle Scholar
  5. Berki, S. E., & Kobashigawa, B. J. (1976). Socioeconomic and need determinants of ambulatory care use: Path analysis of the 1970 Health Interview data. Medical Care, 14, 405–421.PubMedCrossRefGoogle Scholar
  6. Blalock, H. M. (1964). Causal inferences in nonexperimental research. Chapel Hill: University of North Carolina Press.Google Scholar
  7. Boyle, R. P. (1970). Path analysis and ordinal data. American Journal of Sociology, 75, 461–480.CrossRefGoogle Scholar
  8. Bush, P. J. (1986). Children, medicines and abusable substances; A longitudinal study. Final report (R01 DA 02686) submitted to the National Institute on Drug Abuse.Google Scholar
  9. Bush, P. J., Iannotti, R. J., Davidson, F. R., & Schneider, S. (1985). A children’s medicine belief model. Paper presented at the annual meeting of the American Public Health Association, Washington, DC.Google Scholar
  10. Bush, P. J., & Osterweis, M. (1978). Pathways to medicine use. Journal of Health and Social Behavior, 19, 179–189.PubMedCrossRefGoogle Scholar
  11. Cafferata, G. L., & Meyers, S. M. (1985). Pathways to psychotropic drugs: Understanding the basis of sex differences. Paper presented at the meeting of the American Sociology Association, Washington, DC.Google Scholar
  12. Duncan, O. D. (1966). Path analysis: Sociological examples. American Journal of Sociology, 72, 1–16.CrossRefGoogle Scholar
  13. Farrar, D., & Glauber, R. (1967). Multicollinearity in regression analysis: The problem revisited. Review of Economics and Statistics, 44, 92–107.CrossRefGoogle Scholar
  14. Hanushek, E. A., & Jackson, J. E. (1977). Statistical methods for social scientists. New York: Academic Press.Google Scholar
  15. Kaplan, H. B., Martin, S. S., & Robbins, C. A. (1984). Pathways to adolescent drug use: Self-derogation, peer influence, weakening of social controls, and early substance use. Journal of Health and Social Behavior, 25, 270–289.PubMedCrossRefGoogle Scholar
  16. Land, K. C. (1969). Principles of path analysis. In E. Borgatta (Ed.), Sociological methodology (pp. 3–37). San Francisco: Jossey-Bass.Google Scholar
  17. Markides, K. S., Levin, J. S., & Ray, L. A. (1985). Determinants of physician utilization among Mexican-Americans: A three-generations study. Medical Care, 23, 236–245.PubMedCrossRefGoogle Scholar
  18. McAuley, W. J., & Arling, G. (1984). Use of in-home care by very old people. Journal of Health and Social Behavior, 25, 54–64.PubMedCrossRefGoogle Scholar
  19. Pedhazur, E. J. (1982). Multiple regression in behavioral research. New York: Holt, Rinehart, & Winston.Google Scholar
  20. Ritter, C. (1985). Behavioral intentions, marijuana and cocaine use: An assessment of the Fishbein model. Paper presented at the annual meeting for the Study of Social Problems, Washington, DC.Google Scholar
  21. Ritter, C., & Taylor, G. S. (1980). Satisfaction with health services among the elderly and non-elderly: A comparison of two path models. Paper presented at the annual meeting of the Mid-South Sociological Association, Little Rock, AR.Google Scholar
  22. Rosenstock, I. (1966). Why people use health services. Milbank Memorial Fund Quarterly, 44, 92–107.CrossRefGoogle Scholar
  23. Sharpe, T. R., Smith, M. C., & Barbre, A. R. (1985). Medicine use among the rural elderly. Journal of Health and Social Behavior, 26, 113–127.PubMedCrossRefGoogle Scholar
  24. Wan, T. H., & Soifer, S. J. (1974). Determinants of physician utilization: A causal analysis. Journal of Health and Social Behavior, 15, 100–108.PubMedCrossRefGoogle Scholar
  25. Wolinsky, F. D. (1978). Assessing the effects of predisposing, enabling, and illness-morbidity characteristics on health service utilization. Journal of Health and Social Behavior, 19, 384–396.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1988

Authors and Affiliations

  • Patricia J. Bush
    • 1
  • Ronald J. Iannotti
    • 1
  1. 1.Laboratory for Children’s Health Promotion, Department of Community and Family MedicineGeorgetown University School of MedicineUSA

Personalised recommendations