Development and Application of Biological Age Prediction Models with Physical Fitness and Physiological Components in Korean Adults
Development and Application of Biological Age Prediction Models with Physical Fitness and Physiological Components in Korean Adults
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DOI：
10.1159/000335738
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发表时间：
2012-01-01
期刊：
影响因子：
3.5
通讯作者：
Jin, Youngsoo
中科院分区：
文献类型：
--
作者：
Jee, Haemi;Jeon, Byeong Hwan;Jin, Youngsoo
背景：已经提出了使用各种生物标志物的几种生物年龄（BA）预测模型。有效的模型应该能够在相对较短的时间内测量 BA 并预测随后的生理能力。生理和身体健康变量已被证明是预测 BA 和发病率的独特标志。这些变量的实用性和非侵入性性质使其可用作临床评估工具，用于估计 BA 以进行深入诊断和相应干预。目的：识别、开发和评估生物标志物和 BA 预测模型，并验证其在功能性衰老实际诊断中的临床实用性。方法：2004 年至 2007 年间，对 3,112 名年龄在 30 岁及以上的男性和 1,233 名女性参与者测量了 14 个变量。通过一系列简约的逐步消除过程，选择了两组 8 个特定性别变量作为 1,604 名男性和 760 名女性的候选生物标志物。进一步应用主成分分析、线性回归分析和调整方法，得到两套真实BA（TBA）预测模型。通过将 TBA 与相应的实足年龄 (CA) 和临床危险因素进行比较，检查 TBA 模型的有效性。结果：开发了 r(2) 值为 0.638 和 0.672 的 TBA 预测模型，每个模型分别针对男性和女性。参与者的总体平均 TBA 和 CA 分别为 53.9 和 51.8 年，边际差异为 -2.1 和 -1.3 年。男性和女性的 TBA 与 CA 函数的回归斜率或回归率分别为 1.00 和 1.28，r 值为 0.799 和 0.820 (p < 0.001)。在比较健康组和临床风险组之间的 TBA 与 CA 率时，肌肉减少症组和肥胖组的 TBA 均显着增加。结论：所选的生物标志物涵盖与内在和外在生理和功能衰老相关的各种复杂的病理生理因素。基于所选生物标志物的 BA 预测模型可用于评估韩国成年人的 BA。版权所有 (C) 2012 S. Karger AG，巴塞尔
Background: Several biological age (BA) prediction models have been suggested with a variety of biomarkers. Valid models should be able to measure BA in a relatively short time period and predict subsequent physiological capability. Physiological and physical fitness variables have been shown to be distinctive markers for predicting BA and morbidity. The practical and noninvasive nature of such variables makes them useful as clinical assessment tools in estimating BA for in-depth diagnosis and corresponding intervention. Objective: To identify, develop and evaluate biomarkers and BA prediction models and validate their clinical usefulness for the practical diagnosis of functional aging. Methods: Fourteen variables were measured in 3,112 male and 1,233 female participants aged 30 and older between the years 2004 and 2007. Through a series of parsimonious stepwise elimination processes, two sets of 8 gender-specific variables were selected as candidate biomarkers for 1,604 men and 760 women. Principal component analysis, linear regression analysis and adjustment methods were further applied to obtain two sets of true BA (TBA) prediction models. The TBA models were examined for validity by comparing TBA to the corresponding chronological age (CA) with clinical risk factors. Results: TBA prediction models with r(2) values of 0.638 and 0.672 were developed, each unique to men and women, respectively. The overall mean TBA and CA of the participants were 53.9 and 51.8 years, respectively, with a marginal difference of -2.1 and -1.3 years. The regression slopes or rates of TBA as a function of CA were 1.00 and 1.28 for men and women with r values of 0.799 and 0.820 (p < 0.001), respectively. In comparing TBA to CA rates between healthy and clinical risk groups, both sarcopenic and obese groups showed significant increases in TBA. Conclusions: The selected biomarkers encompass various complex physiopathological factors related to intrinsic and extrinsic physiological and functional aging. The BA prediction models based on the selected biomarkers could be practical in assessing BA for Korean adults. Copyright (C) 2012 S. Karger AG, Basel