Volume 40 - Article 19 | Pages 503–532

Combining population projections with quasi-likelihood models: A new way to predict cancer incidence and cancer mortality in Austria up to 2030

By Johannes Klotz, Monika Hackl, Markus Schwab, Alexander Hanika, Daniela Haluza

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Date received:21 Sep 2017
Date published:08 Mar 2019
Word count:5122
Keywords:aging, Austria, cancer incidence rate, cancer registry, demographic change, mortality, projections


Background: The current demographic changes with a shift toward older ages contribute to more cancer cases in the next decades in Western countries. Thus, forecasting the demand for expected healthcare services and expenditures is relevant for planning purposes and resource allocation.

Objective: In this study, we provide a new method to estimate future numbers of cancer cases (newly diagnosed cancers and cancer deaths) using Austrian data.

Methods: We used 1983–2009 data to estimate cancer burden trends using quasi-Poisson regression models, which we then applied to official population projections up to 2030. Specific regression models were estimated for cancer incidence and mortality, disaggregated by sex and 16 tumor sites.

Results: The absolute number of cancer cases increased continuously during the last decades in Austria. The trend will also continue in the near future, as the number of newly diagnosed cancers and cancer deaths will increase by +14% and +16% between 2009 and 2030. Age-standardized individual risk of being newly diagnosed with or die from cancer will be substantially lower in 2030 compared to 2009 (–14% and –16%, respectively).

Contribution: Our novel method combining population projections with quasi-likelihood models found a falling individual risk for cancer burden in the Austrian population. However, the absolute number of new cancer cases and deaths will increase due to the aging of the population. These estimates should be considered when planning future healthcare demands.

Author's Affiliation

Johannes Klotz - Statistik Austria, Austria [Email]
Monika Hackl - Statistik Austria, Austria [Email]
Markus Schwab - Medizinische Universität Wien, Austria [Email]
Alexander Hanika - Statistik Austria, Austria [Email]
Daniela Haluza - Medizinische Universität Wien, Austria [Email]

Other articles by the same author/authors in Demographic Research

» Trends in educational mortality differentials in Austria between 1981/82 and 2001/2002: A study based on a linkage of census data and death certificates
Volume 19 - Article 51

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