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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]

OBJECTIVES: The concurrent contributions of dynamic, interrelated late-life parameters, such as body mass index (BMI), cognition, and physical functioning on mortality in the elderly are unclear, as is the influence of APOE genotype. We explored these measures in relation to 7-year mortality in long-lived Italian elderly. DESIGN: A representative, age-stratified, population sample. SETTING: The Treviso Longeva (TRELONG) Study, in Treviso, Italy. PARTICIPANTS: Three hundred eleven men and 357 women, aged 70 years and older (mean age 84 ± 8 years). MEASUREMENTS: Seven-year mortality, BMI, Mini-Mental State Examination (MMSE) score, Activities of Daily Living (ADL), APOE genotype, and a variety of clinical and survey data. RESULTS: In separate age- and sex-adjusted analyses, BMI <18.5 kg/m(2), MMSE <=24, and ADL <6, were associated with greater 7-year mortality among adults aged 70 years and older. In a multivariate model including all factors, MMSE <=24, and ADL <6 were associated with greater mortality; BMI >=30 kg/m(2) was protective. There were no interactions between BMI, MMSE, or ADL. When excluding those dying within 3 years of baseline, only an MMSE <=24 was related to mortality. APOE4 was not related to mortality. CONCLUSION: Higher MMSE score, higher ADL score, and higher BMI, independent of age, sex, and other factors, are markers for longer life among northern Italian adults aged 70 years or older. Global cognition, BMI, and physical functioning, assessed by short, simple tests are profound indicators of death within less than a decade. [ABSTRACT FROM AUTHOR]