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Background: The concept of "premature mortality" is at the heart of many national and global health measurement and benchmarking efforts. However, despite the intuitive appeal of its underlying concept, it is far from obvious how to best operationalise it. The previous work offers at least two basic approaches: an absolute and a relative one. The former—and far more widely used— approach sets a unique age threshold (e.g. 65 years), below which deaths are defined as premature. The relative approach derives the share of premature deaths from the country-specific age distribution of deaths in the country of interest. The biggest disadvantage of the absolute approach is that of using a unique, arbitrary threshold for different mortality patterns, while the main disadvantage of the relative approach is that its estimate of premature mortality strongly depends on how the senescent deaths distribution is defined in each country. Method: We propose to overcome some of the downsides of the existing approaches, by combining features of both, using a hierarchical model, in which senescent deaths distribution is held constant for each country as a pivotal quantity and the premature mortality distribution is allowed to vary across countries. In this way, premature mortality estimates become more comparable across countries with similar characteristics. Results: The proposed hierarchical models provide results, which appear to align with related evidence from specific countries. In particular, we find a relatively high premature mortality for the United States and Denmark. Conclusions: While our hybrid approach overcomes some of the problems of previous measures, some issues require further research, in particular the choice of the group of countries that a given country is assigned to and the choice of the benchmarks within the groups. Hence, our proposed method, combined with further study addressing these issues, could provide a valid alternative way to measure and compare premature mortality across countries. [ABSTRACT FROM AUTHOR]

Abstract: Longevity is a complex process resulting from genetic and environmental factors, as well as their interaction. These factors are poorly understood, and the comparison among health status, socio-economics, demographic and other characteristics of the elderly people can help in understanding these complex interactions. Such an interdisciplinary approach is necessary to allow an appropriate evaluation of longevity. Here we report the methodology and the first results of a representative study performed in 2003–2004 on people of 70 years and over, living in a typical town of North-East of Italy. In the research we collected biomedical, demographic, socio-economic and quality of life (QoL) data. [Copyright &y& Elsevier]