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.

Elisa Cevenini, Rodolfo Cotichini, Maria Antonietta Stazi, Virgilia Toccaceli, Maria Scurti, Vincenzo Mari, et al. (2013). How to classify the oldest old according to their health status: A study on 1160 subjects belonging to 552 90+ Italian sib-ships characterized by familial longevity recruited within the GEHA EU Project. MECHANISMS OF AGEING AND DEVELOPMENT, 134, 560-569 [10.1016/j.mad.2013.11.001].

How to classify the oldest old according to their health status: A study on 1160 subjects belonging to 552 90+ Italian sib-ships characterized by familial longevity recruited within the GEHA EU Project

CEVENINI, ELISA;SCURTI, MARIA;FRANCESCHI, CLAUDIO
2013

Abstract

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.
2013
Elisa Cevenini, Rodolfo Cotichini, Maria Antonietta Stazi, Virgilia Toccaceli, Maria Scurti, Vincenzo Mari, et al. (2013). How to classify the oldest old according to their health status: A study on 1160 subjects belonging to 552 90+ Italian sib-ships characterized by familial longevity recruited within the GEHA EU Project. MECHANISMS OF AGEING AND DEVELOPMENT, 134, 560-569 [10.1016/j.mad.2013.11.001].
Elisa Cevenini;Rodolfo Cotichini;Maria Antonietta Stazi;Virgilia Toccaceli;Maria Scurti;Vincenzo Mari;Maurizio Berardelli;Giuseppe Passarino;Bernard Jeune;Claudio Franceschi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/397441
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