Abstract
Epidemiological studies have identified a number of risk factors for chronic circulatory disease. Though these risk factors (e.g., serum cholesterol, systolic and diastolic blood pressure, smoking) have significant associations with heart and other chronic disease risks in multiple longitudinal studies, there is little evaluation of the lifetime effect of controlling those factors. When these risk factors have been evaluated in forecasts, the effect on population risks was often less than in longitudinal studies because the models employed were not biologically realistic (e.g., risk factors were assumed to operate independently and cohort dynamics were not represented; e.g., Weinstein et al., 1987). The results in this chapter are based on a multivariate model (presented in Chapter 4) of the effect of risk factors on (1) the risk of disease at specific ages; (2) the interaction of causes of death (i.e., the effect of dependent competing risks); and (3) the effect of selective mortality on the age-specific, relative survival of at-risk populations. Estimates of the effect of intervening in risk factors produced from these models should be more realistic because “diffusion” is represented; that is, “uncertainty” about individual risk factor values measured at any single time is described (Strachan and Rose, 1991).
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© 1993 Springer-Verlag New York, Inc.
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Manton, K.G., Dowd, J.E., Stallard, E. (1993). The Effects of Risk Factors on Male and Female Cardiovascular Risks in Middle and Late Age. 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_6
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DOI: https://doi.org/10.1007/978-1-4613-9332-0_6
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