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

Elisa Cevenini, Rodolfo Cotichini, Maria Antonietta Stazi, Virgilia Toccaceli, Maria Scurti, Vincenzo Mari, Maurizio Berardelli, Giuseppe Passarino, Bernard Jeune, Claudio Franceschi, the GEHA Project Consortium

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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; 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.
Original languageEnglish
JournalMechanisms of Ageing and Development
Volume134
Issue number11-12
Pages (from-to)560-9
ISSN0047-6374
DOIs
Publication statusPublished - 2013

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Cevenini, Elisa ; Cotichini, Rodolfo ; Stazi, Maria Antonietta ; Toccaceli, Virgilia ; Scurti, Maria ; Mari, Vincenzo ; Berardelli, Maurizio ; Passarino, Giuseppe ; Jeune, Bernard ; Franceschi, Claudio ; the GEHA Project Consortium. / 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. In: Mechanisms of Ageing and Development. 2013 ; Vol. 134, No. 11-12. pp. 560-9.
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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; 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.",
keywords = "Longevity, Health status classification, Mortality, Gender, Oldest old",
author = "Elisa Cevenini and Rodolfo Cotichini and Stazi, {Maria Antonietta} and Virgilia Toccaceli and Maria Scurti and Vincenzo Mari and Maurizio Berardelli and Giuseppe Passarino and Bernard Jeune and Claudio Franceschi and {the GEHA Project Consortium}",
note = "Copyright {\circledC} 2013. Published by Elsevier Ireland Ltd.",
year = "2013",
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language = "English",
volume = "134",
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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; Cotichini, Rodolfo; Stazi, Maria Antonietta; Toccaceli, Virgilia; Scurti, Maria; Mari, Vincenzo; Berardelli, Maurizio; Passarino, Giuseppe; Jeune, Bernard; Franceschi, Claudio; the GEHA Project Consortium.

In: Mechanisms of Ageing and Development, Vol. 134, No. 11-12, 2013, p. 560-9.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - How to classify the oldest old according to their health status

T2 - A study on 1160 subjects belonging to 552 90+ Italian sib-ships characterized by familial longevity recruited within the GEHA EU Project

AU - Cevenini, Elisa

AU - Cotichini, Rodolfo

AU - Stazi, Maria Antonietta

AU - Toccaceli, Virgilia

AU - Scurti, Maria

AU - Mari, Vincenzo

AU - Berardelli, Maurizio

AU - Passarino, Giuseppe

AU - Jeune, Bernard

AU - Franceschi, Claudio

AU - the GEHA Project Consortium

N1 - Copyright © 2013. Published by Elsevier Ireland Ltd.

PY - 2013

Y1 - 2013

N2 - 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; 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.

AB - 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; 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.

KW - Longevity

KW - Health status classification

KW - Mortality

KW - Gender

KW - Oldest old

U2 - 10.1016/j.mad.2013.11.001

DO - 10.1016/j.mad.2013.11.001

M3 - Journal article

C2 - 24269880

VL - 134

SP - 560

EP - 569

JO - Mechanisms of Ageing and Development

JF - Mechanisms of Ageing and Development

SN - 0047-6374

IS - 11-12

ER -