首页> 外文期刊>Mechanisms of Ageing and Development >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.
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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.

机译:如何根据健康状况对最老的老年人进行分类:在GEHA欧盟项目中招募了1160名对象,这些对象属于552 90+名具有长寿家族特征的意大利同胞。

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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.
机译:世界上最老,增长最快的人群的健康状况逐渐变得更加异质,这种独特性成为对其分类的主要障碍。我们在1160个表型完全特征化的90年意大利同胞中比较了四个先前提出的标准(Franceschi等,2000; Evert等,2003; Gondo等,2006; Andersen-Ranberg等,2001)的有效性。欧盟资助的GEHA项目在意大利北部,中部和南部招募的552名同胞船上的90岁以上(90岁以上,平均年龄:93岁;年龄范围:90-106岁),其次为6岁,年生存。主要发现是:(i)“健康”受试者的变化范围很大,即5.2%(贡多),8.7%(埃弗特),17.7%(弗朗西斯基)和28.5%(安德森-兰伯格); (ii)意大利中部受试者的健康状况要好于意大利北部和南部的受试者; (iii)死亡率风险与健康状况相关,而与地理区域无关; (iv)90多名男性,尽管人数较少,但比女性健康,但没有生存优势。最后,我们根据对两个基本领域(认知,SMMSE;物理,ADL)的评估(基于“功能状态的简单模型”(SMFS)),确定了Andersen-Ranberg标准的修改版本,作为最有效的代理区分健康对象和不健康对象。该模型表明健康状况与同胞关系相关,表明家族/遗传成分。

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