How to classify the Oldest Old according to Health Status: A study of 1160 subjects belonging to 552 90+ Italian sibships characterised by familial longevity recruited within the GeHA EU project

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
Pages (from-to)560-569
Number of pages9
JournalMechanisms of Ageing and Development
Volume134
Issue number11-12
Early online date23 Nov 2013
DOIs
Publication statusPublished - 01 Dec 2013
EventSuper Vivere Exhibition - Queens University Belfast Naughton Gallery , Belfast, United Kingdom
Duration: 01 Jan 201131 Mar 2011

Keywords

  • Health Status Indicators;
  • longevity

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Ageing
  • Developmental Biology

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  • R6229GRM: GEHA.

    Rea, M.

    01/08/2004 → …

    Project: Research

  • Genome-wide association meta-analysis of human longevity identifies a novel locus conferring survival beyond 90 years of age

    Deelen, J., Beekman, M., Uh, H-W., Broer, L., Ayers, K. L., Tan, Q., Kamatani, Y., Bennet, A. M., Tamm, R., Trompet, S., Guðbjartsson, D. F., Flachsbart, F., Rose, G., Viktorin, A., Fischer, K., Nygaard, M., Cordell, H. J., Crocco, P., van den Akker, E. B., Böhringer, S., & 67 othersHelmer, Q., Nelson, C. P., Saunders, G. I., Alver, M., Anderson-Ranberg, K., Breen, M. E., van der Breggen, R., Caliebe, A., Capri, M., Cevenini, E., Collerton, J. C., Dato, S., Davies, K., Ford, I., Gampe, J., Garagnani, P., de Geus, E. J. C., Harrow, J., van Heemst, D., Heijmans, B. T., Heinsen, F-A., Hottenga, J-J., Hofman, A., Juene, B., Jonsson, P. V., Lathrop, M., Lechner, D., Martin-Ruiz, C., Mcnerlan, S. E., Mihailov, E., Montesanto, A., Mooijaart, S. P., Murphy, A., Nohr, E. A., Paternoster, L., Postmus, I., Rivadeneira, F., Ross, O. A., Salvioli, S., Sattar, N., Schreiber, S., Stefánsson, H., Stott, D. J., Tiemeier, H., Uitterlinden, A. G., Westendorp, R. G. J., Willemsen, G., Samani, N. J., Galan, P., Sørensen, T. I. A., Boomsma, D. I., Jukema, J. W., Rea, I. M., Passarino, G., de Craen, A. J. M., Christensen, K., Nebel, A., Stefánsson, K., Metspalu, A., Magnusson, P., Blanché, H., Christiansen, L., Kirkwood, T. B. L., van Duijn, C. M., Franceschi, C., Houwing-Duistermaat, J. J. & Slagboom, P. E., 15 Aug 2014, In: Human Molecular Genetics. 23, 6, p. 4420-4432 13 p.

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  • Health status and 6 years survival of 552 90+ Italian sib-ships recruited within the EU Project GEHA (GEnetics of Healthy Ageing)

    Cevenini, E., Cotichini, R., Stazi, M. A., Toccaceli, V., Palmas, M. G., Capri, M., De Rango, F., Dato, S., Passarino, G., Jeune, B., Franceschi, C., GEHA Project Consortium & Rea, I. M., Apr 2014, In: Age (Dordrecht, Netherlands). 36, 2, p. 949-966 18 p.

    Research output: Contribution to journalArticlepeer-review

    33 Citations (Scopus)
  • The co-occurrence of mtDNA mutations on different oxidative phosphorylation subunits, not detected by haplogroup analysis, affects human longevity and is population specific

    Raule, N., Sevini, F., Li, S., Barbieri, A., Tallaro, F., Lomartire, L., Vianello, D., Montesanto, A., Moilanen, J. S., Bezrukov, V., Blanché, H., Hervonen, A., Christensen, K., Deiana, L., Gonos, E. S., Kirkwood, T. B. L., Kristensen, P., Leon, A., Pelicci, P. G., Poulain, M., & 18 othersRea, I. M., Remacle, J., Robine, J. M., Schreiber, S., Sikora, E., Eline Slagboom, P., Spazzafumo, L., Antonietta Stazi, M., Toussaint, O., Vaupel, J. W., Rose, G., Majamaa, K., Perola, M., Johnson, T. E., Bolund, L., Yang, H., Passarino, G. & Franceschi, C., Jun 2014, In: Aging cell. 13, 3, p. 401-407 7 p.

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