Article ID Journal Published Year Pages File Type
1919306 Mechanisms of Ageing and Development 2013 10 Pages PDF
Abstract

•The study was performed in 1160 Italian siblings of 90 years of age and older (90+).•90+ males are fewer than females, but healthier and with no survival advantage.•Mortality risk is correlated with health status independently of the geographical areas.•A functional model is a reliable proxy to distinguish healthy from unhealthy subjects.•Health status is correlated within sib-ships (evidence of a familial/genetic component).

The health status of the oldest old, the fastest increasing population segment worldwide, progressively becomes more heterogeneous, and this peculiarity represents a major obstacle to their classification. We compared the effectiveness of four previously proposed criteria (Franceschi et al., 2000, Evert et al., 2003, Gondo et al., 2006 and Andersen-Ranberg et al., 2001) in 1160 phenotypically fully characterized Italian siblings of 90 years of age and older (90+, mean age: 93 years; age range: 90–106 years) belonging to 552 sib-ships, recruited in Northern, Central and Southern Italy within the EU-funded project GEHA, followed for a six-year-survival. Main findings were: (i) “healthy” subjects varied within a large range, i.e. 5.2% (Gondo), 8.7% (Evert), 17.7% (Franceschi), and 28.5% (Andersen-Ranberg); (ii) Central Italy subjects showed better health than those from Northern and Southern Italy; (iii) mortality risk was correlated with health status independently of geographical areas; and (iv) 90+ males, although fewer in number, were healthier than females, but with no survival advantage. In conclusion, we identified a modified version of Andersen-Ranberg criteria, based on the concomitant assessment of two basic domains (cognitive, SMMSE; physical, ADL), called “Simple Model of Functional Status” (SMFS), as the most effective proxy to distinguish healthy from not-healthy subjects. This model showed that health status was correlated within sib-ships, suggesting a familial/genetic component.

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Life Sciences Biochemistry, Genetics and Molecular Biology Ageing
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