This project proposes to develop a multiple-cause-of-death model of cancer mortality differentials at the older ages (45 and over), and to test its efficacy in comparison with the traditional model. The primary goal is to show that a multiple-cause-of-death model reveals different results of mortality differential by age, race, and sex than those observed under a single underlying-cause-of-death model. If positive findings are observed, then a multiple-cause concept of human mortality needs to be considered as an alternative to the underlying-cause concept in studies of differential mortality. / The specific objectives of the project are to (1) discuss previous research showing the relative importance of examining multiple causes of death in mortality analyses, (2) extend the current research by considering age-race-sex-specific death rates within a multiple-cause-of-death model of cancer mortality differentials at the older ages, (3) design a methodology to utilize multiple-cause data in differential mortality analyses, and (4) compare results from multiple-cause analysis with those from underlying-cause analysis. / The first objective consists of a review of the literature on causes of death, the epidemiological transition, and mortality differentials. Following this review, an argument is given in support of a multiple cause-of-death conceptual model. The second objective consists of applying a multiple-cause-of-death framework to cancer mortality differentials. The third objective consists of designing analytical methods to utilize multiple cause data. / The fourth objective consists of constructing appropriate rates (i.e., underlying, total mention, and multiple cause rates by age, race, and sex), comparing the results, and interpreting the findings. / Findings indicate that a multiple-cause-of-death approach to cancer mortality differentials at the older ages is an alternative to the underlying-cause-of-death approach. Even though cancer is the major cause of death most likely to be cited as an underlying cause, differentials in cancer mortality vary when the two data bases are used. When specific types of cancer are examined, differentials using total mentions may be wider or narrower than those based on underlying causes and may even be reversed. Use of an underlying cause-of-death framework especially understates the level of cancer-related mortality at the older ages. / Source: Dissertation Abstracts International, Volume: 47-05, Section: A, page: 1892. / Thesis (Ph.D.)--The Florida State University, 1986.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_75822 |
| Contributors | WRIGLEY, JOHN MICHAEL., Florida State University |
| Source Sets | Florida State University |
| Detected Language | English |
| Type | Text |
| Format | 111 p. |
| Rights | On campus use only. |
| Relation | Dissertation Abstracts International |
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