Causes of death which contribute to the mortality crossover effect

Abstract

Death rates vary over the life cycle in a standard fashion, with mortality probabilities being highest at infant and older ages. Nevertheless, when age curves of mortality are compared for different populations, they sometimes can be seen to intersect so that one population has higher death rates at younger and middle ages and lower rates at older ages. Past research has shown that this phenomenon is not due to erroneous data and is probably a result of some type of selection in survival patterns. A sample of pairs of mortality curves, 31 of which cross over and 31 of which do not, for combinations of countries and dates are analyzed to discover which causes of death are associated with the crossover phenomenon at the older ages. Cardiovascular and “other and unknown” diseases appear to contribute strongly to the crossover effect. Further research should deal with other comparisons and explore the underlying social and environmental factors.