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THE DEVELOPMENT OF HEALTHY AGEING INDEX BASED ON AGEING STUDIES IN THE U.S. ENGLAND AND CHINA

机译:美国英国和中国基于老龄化研究的健康老龄化指数的发展

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摘要

Background Creating a multidimensional measure of healthy ageing at the individual level could become a sensible approach to comprehensively assess healthy ageing status. Methods A healthy ageing index (HAI, 0–100) with 33 indicators of physical, cognitive, physiological functions and psychological and social well-being was created, using data from Health and Retirement Study (US, N=13790), English Longitudinal Study of Ageing (England, N=7225) and China Health and Retirement Longitudinal Study (China, N=7385). Pearson’s r, Cronbach’s α, ROC curve and survival analyses were applied to assess the test-retest reliability, internal consistency and the predictive validity of HAI respectively. Results Values of Pearson’s r and Cronbach’s α were greater than 0.70 and 0.80, respectively. According to the ROC estimates, the accuracy of predicting mortality from the HAI were 0.687 (95%CI: 0.662 to 0.711) in the US, 0.684 (95%CI: 0.664 to 0.705) in England and 0.589 (95%CI: 0.528 to 0.649) in China. One unit increase in HAI was associated with a 3.8% (95% CIs: 3.4% to 4.1%), 2.5% (95%CIs: 2.1% to 2.8%) and 2.3% (95%CIs: 1.5% to 3.1%) reduction in subsequent mortality risk in the US, England and China, respectively. Conclusion The overall reliability and validity of the HAI are acceptable. The HAI acts as an independent predictor of mortality risk in later life in the studied datasets. It can be applied as a preliminary screening of healthy agers in both western and Asian countries, which may help clinicians to identify patients’ healthy ageing profiles in both prevention and intervention trials.
机译:背景技术在个人层面上建立健康老化的多维衡量指标可能成为一种全面评估健康老化状态的明智方法。方法使用健康和退休研究(美国,N = 13790),英语纵向研究的数据,创建具有33个身体,认知,生理功能以及心理和社会福祉指标的健康衰老指数(HAI,0–100)年龄(英格兰,N = 7225)和中国健康与退休纵向研究(中国,N = 7385)。皮尔逊的r,克伦巴赫的α,ROC曲线和生存分析分别用于评估重测的可靠性,内部一致性和HAI的预测效度。结果Pearson r和Cronbachα的值分别大于0.70和0.80。根据ROC估算,在美国,从HAI预测死亡率的准确度为0.687(95%CI:0.662至0.711),在英格兰为0.684(95%CI:0.664至0.705),而在0.589(95%CI:0.528至50)之间。 0.649)。 HAI的增加一个单位与3.8%(95%CI:3.4%至4.1%),2.5%(95%CI:2.1%至2.8%)和2.3%(95%CI:1.5%至3.1%)相关。降低美国,英国和中国的后续死亡风险。结论HAI的整体可靠性和有效性是可以接受的。在所研究的数据集中,HAI可作为以后生命中死亡风险的独立预测因子。它可以用作西方和亚洲国家对健康老年人的初步筛查,这可以帮助临床医生在预防和干预试验中识别患者的健康衰老特征。

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    W Lu; H Pikhart; A Sacker;

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  • 年(卷),期 -1(2),Suppl 1
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  • 页码 711–712
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