Literature DB >> 24269880

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 Cevenini1, Rodolfo Cotichini2, Maria Antonietta Stazi3, Virgilia Toccaceli4, Maria Scurti5, Vincenzo Mari6, Maurizio Berardelli7, Giuseppe Passarino8, Bernard Jeune9, Claudio Franceschi10.   

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.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Gender; Health status classification; Longevity; Mortality; Oldest old

Mesh:

Year:  2013        PMID: 24269880     DOI: 10.1016/j.mad.2013.11.001

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  4 in total

1.  Insights Into Sibling Relationships and Longevity From Genetics of Healthy Ageing Nonagenarians: The Importance of Optimisation, Resilience and Social Networks.

Authors:  Jennifer Nicola M Rea; Katarzyna Milana Broczek; Elisa Cevenini; Laura Celani; Susanne Alexandra J Rea; Ewa Sikora; Claudio Franceschi; Vita Fortunati; Irene Maeve Rea
Journal:  Front Psychol       Date:  2022-05-06

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

Authors:  E Cevenini; R Cotichini; M A Stazi; V Toccaceli; M G Palmas; M Capri; F De Rango; S Dato; G Passarino; B Jeune; C Franceschi
Journal:  Age (Dordr)       Date:  2013-12-10

3.  Cognitive, functional, physical, and nutritional status of the oldest old encountered in primary care: a systematic review.

Authors:  Emile Escourrou; Florence Durrieu; Bruno Chicoulaa; Julie Dupouy; Stéphane Oustric; Sandrine Andrieu; Virginie Gardette
Journal:  BMC Fam Pract       Date:  2020-03-27       Impact factor: 2.497

4.  Assessment of the Health Status of the Oldest Olds Living on the Greek Island of Ikaria: A Population Based-Study in a Blue Zone.

Authors:  Romain Legrand; Patrick Manckoundia; Gilles Nuemi; Michel Poulain
Journal:  Curr Gerontol Geriatr Res       Date:  2019-11-30
  4 in total

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