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一种为健康促进干预设计的生物学年龄模型:模型开发跨学科研究方案。

A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development.

作者信息

Husted Karina Louise Skov, Fogelstrøm Mathilde, Hulst Pernille, Brink-Kjær Andreas, Henneberg Kaj-Åge, Sorensen Helge Bjarup Dissing, Dela Flemming, Helge Jørn Wulff

机构信息

Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.

Department of Physiotherapy and Occupational therapy, University College Copenhagen, Copenhagen, Denmark.

出版信息

JMIR Res Protoc. 2020 Oct 26;9(10):e19209. doi: 10.2196/19209.

Abstract

BACKGROUND

Actions to improve healthy aging and delay morbidity are crucial, given the global aging population. We believe that biological age estimation can help promote the health of the general population. Biological age reflects the heterogeneity in functional status and vulnerability to disease that chronological age cannot. Thus, biological age assessment is a tool that provides an intuitively meaningful outcome for the general population, and as such, facilitates our understanding of the extent to which lifestyle can increase health span.

OBJECTIVE

This interdisciplinary study intends to develop a biological age model and explore its usefulness.

METHODS

The model development comprised three consecutive phases: (1) conducting a cross-sectional study to gather candidate biomarkers from 100 individuals representing normal healthy aging people (the derivation cohort); (2) estimating the biological age using principal component analysis; and (3) testing the clinical use of the model in a validation cohort of overweight adults attending a lifestyle intervention course.

RESULTS

We completed the data collection and analysis of the cross-sectional study, and the initial results of the principal component analysis are ready. Interpretation and refinement of the model is ongoing. Recruitment to the validation cohort is forthcoming. We expect the results to be published by December 2021.

CONCLUSIONS

We expect the biological age model to be a useful indicator of disease risk and metabolic risk, and further research should focus on validating the model on a larger scale.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03680768, https://clinicaltrials.gov/ct2/show/NCT03680768 (Phase 1 study); NCT04279366 https://clinicaltrials.gov/ct2/show/NCT04279366 (Phase 3 study).

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/19209.

摘要

背景

鉴于全球人口老龄化,采取行动促进健康老龄化和延缓发病至关重要。我们认为,生物年龄估计有助于促进普通人群的健康。生物年龄反映了功能状态的异质性以及对疾病的易感性,而实际年龄无法体现这些。因此,生物年龄评估是一种能为普通人群提供直观且有意义结果的工具,从而有助于我们理解生活方式在多大程度上可以延长健康寿命。

目的

这项跨学科研究旨在开发一种生物年龄模型并探索其用途。

方法

模型开发包括三个连续阶段:(1)进行横断面研究,从100名代表正常健康老年人的个体(推导队列)中收集候选生物标志物;(2)使用主成分分析估计生物年龄;(3)在参加生活方式干预课程的超重成年人验证队列中测试该模型的临床应用。

结果

我们已完成横断面研究的数据收集和分析,主成分分析的初步结果已就绪。模型的解释和完善工作正在进行中。验证队列的招募即将开始。我们预计结果将于2021年12月发表。

结论

我们期望生物年龄模型成为疾病风险和代谢风险的有用指标,进一步的研究应侧重于在更大规模上验证该模型。

试验注册

ClinicalTrials.gov NCT03680768,https://clinicaltrials.gov/ct2/show/NCT03680768(1期研究);NCT04279366 https://clinicaltrials.gov/ct2/show/NCT04279366(3期研究)。

国际注册报告识别码(IRRID):DERR1-10.2196/19209。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1356/7652682/2e96aa9f298a/resprot_v9i10e19209_fig1.jpg

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