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Predicting survival and morbidity-free survival to very old age

机译:预测非常年老的生存率和无病生存率

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摘要

textabstractAs life expectancy continually increases, it is imperative to identify determinants of survival to the extreme end of the lifespan and more importantly to identify factors that increase the chance of survival free of major morbidities. As such, the current study assessed 45 common disease factors as predictors of survival and morbidity-free survival to age 85 years. Within the Rotterdam Study, a population-based cohort, we evaluated morbidity-free participants who were able to attain age 85 within the study duration (n∈=∈2,008). Risk factors were assessed at baseline (1990-1993), and mortality and morbidities were then collected continuously until mortality or the occurrence of their 85th birthday (average time of 7.9 years). Risk factors included demographic and lifestyle variables, health and morbidity indicators and physiological makers. Major morbidities examined included dementia, cancer, cerebrovascular accident, heart failure and myocardial infarction. Logistic regression analyses demonstrated that many of the variables were independently predictive for survival and for morbidity-free ageing to 85 years. These included being female, absence of left ventricular abnormalities, stable body weight, unimpaired instrumental activities of daily living, lower C-RP levels and higher levels of femoral neck bone mineral density and albumin. Relative to non-survival, predictors were stronger for morbidity-free survival than for total survival or survival with morbidity. This suggests that lifespan and healthy survival to older age can be relatively well predicted. Understanding predictors of a long and healthy lifespan is vital for developing primary and secondary preventions to help improve the quality of life of older adults and for reducing the financial burden of the rapidly escalating ageing population.
机译:随着预期寿命的不断增加,必须确定生存至寿命极限的决定因素,更重要的是要确定增加没有重大发病率的生存机会的因素。因此,本研究评估了45种常见疾病因素,这些因素可预测生存至85岁的生存率和无发病率。在以人群为基础的队列鹿特丹研究中,我们评估了在研究持续时间内能够达到85岁的无发病率参与者(n∈=ε2,008)。在基线(1990-1993年)评估危险因素,然后连续收集死亡率和发病率,直到死亡率或其85岁生日(平均时间为7.9年)出现为止。风险因素包括人口统计和生活方式变量,健康和发病指标以及生理因素。检查的主要疾病包括痴呆,癌症,脑血管意外,心力衰竭和心肌梗塞。 Logistic回归分析表明,许多变量可以独立预测生存和85年无发病年龄。这些包括女性,左心室异常,稳定的体重,日常生活中无障碍的器械活动,较低的C-RP水平和较高的股骨颈骨矿物质密度和白蛋白水平。相对于非生存期,无病生存期的预测指标要强于总生存期或有病生存期。这表明可以相对较好地预测寿命和健康的老年。了解长期健康寿命的预测因素对于制定一级和二级预防措施以帮助改善老年人的生活质量以及减轻迅速增长的老龄人口的经济负担至关重要。

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