Health status and 6 years survival of 552 90+Italian sib-ships recruited within the EU Project GEHA (GEnetics of Healthy Ageing)
Health status and 6 years survival of 552 90+Italian sib-ships recruited within the EU Project GEHA (GEnetics of Healthy Ageing)
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DOI：
10.1007/s11357-013-9604-1
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发表时间：
2014-04-01
期刊：
影响因子：
--
通讯作者：
Franceschi, C.
中科院分区：
文献类型：
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作者：
Cevenini, E.;Cotichini, R.;Franceschi, C.
在世界范围内预期寿命增加的情况下，必须确定健康老龄化表型的特征，包括生存预测因子，并将与环境/生活方式相关的特征与熟悉度/遗传相关的特征区分开来。为了实现这一目标，我们对1,160名90岁及以上的意大利受试者进行了全面的描述（90+，平均年龄93岁;年龄90-106岁，随访6年，共552例（熟悉长寿）招聘（2005-2008年）在欧盟资助的GEHA项目范围内，在意大利三个地理区域（北方、中部和南部，意大利）进行，城市/农村和社会经济特征各不相同。总的来说，以下因素是90岁后生存的重要预测因素：没有认知障碍和身体残疾，高握力评分和体重指数（BMI）值，“优秀/良好”自我报告的健康状况，高血红蛋白和总胆固醇水平以及低肌酐水平。这些参数，不包括BMI值，也显着相关的同胞，这表明一个强大的家族/遗传成分。出现了生存预测因子的地理微异质性，如功能和身体状况在南部比在意大利中部和北方更重要。总之，我们确定了与特定领域相关的可修改的生存预测因子，其作用和重要性根据所考虑的地理区域而变化，并且可以帮助解释GEHA项目获得的遗传结果，该项目的主要目的是综合评估表型和遗传数据。
In a scenario of increasing life expectancy worldwide, it is mandatory to identify the characteristics of a healthy aging phenotype, including survival predictors, and to disentangle those related to environment/lifestyle versus those related to familiarity/genetics. To this aim we comprehensively characterised a cohort of 1,160 Italian subjects of 90 years and over (90+, mean age 93 years; age range 90-106 years) followed for 6 years survival, belonging to 552 sib-ships (familiar longevity) recruited (2005-2008) within the EU-funded GEHA project in three Italian geographic areas (Northern, Central and Southern Italy) different for urban/rural and socio-economical characteristics. On the whole, the following factors emerged as significant predictors of survival after 90 years of age: absence of cognitive impairment and physical disability, high hand grip strength scores and body mass index (BMI) values, "excellent/good" self-reported health, high haemoglobin and total cholesterol levels and low creatinine levels. These parameters, excluding BMI values, were also significantly associated within sib-ships, suggesting a strong familial/genetic component. Geographical micro-heterogeneity of survival predictors emerged, such as functional and physical status being more important in Southern than in Central and Northern Italy. In conclusion, we identified modifiable survival predictors related to specific domains, whose role and importance vary according to the geographic area considered and which can help in interpreting the genetic results obtained by the GEHA project, whose major aim is the comprehensive evaluation of phenotypic and genetic data.