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

Autor:	Husted KLS; 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., Fogelstrøm M; Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark., Hulst P; Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark., Brink-Kjær A; Digital Health, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark., Henneberg KÅ; Biomedical Engineering, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark., Sorensen HBD; Digital Health, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark., Dela F; Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.; Department of Geriatrics, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark., Helge JW; Xlab, Center for Healthy Aging, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
Jazyk:	angličtina
Zdroj:	JMIR research protocols [JMIR Res Protoc] 2020 Oct 26; Vol. 9 (10), pp. e19209. Date of Electronic Publication: 2020 Oct 26.
DOI:	10.2196/19209
Abstrakt:	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. (©Karina Louise Skov Husted, Mathilde Fogelstrøm, Pernille Hulst, Andreas Brink-Kjær, Kaj-Åge Henneberg, Helge Bjarup Dissing Sorensen, Flemming Dela, Jørn Wulff Helge. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 26.10.2020.)
Databáze:	MEDLINE
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