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A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development
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 diseas...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652682/ https://www.ncbi.nlm.nih.gov/pubmed/33104001 http://dx.doi.org/10.2196/19209 |
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author | Husted, Karina Louise Skov Fogelstrøm, Mathilde Hulst, Pernille Brink-Kjær, Andreas Henneberg, Kaj-Åge Sorensen, Helge Bjarup Dissing Dela, Flemming Helge, Jørn Wulff |
author_facet | Husted, Karina Louise Skov Fogelstrøm, Mathilde Hulst, Pernille Brink-Kjær, Andreas Henneberg, Kaj-Åge Sorensen, Helge Bjarup Dissing Dela, Flemming Helge, Jørn Wulff |
author_sort | Husted, Karina Louise Skov |
collection | PubMed |
description | 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 |
format | Online Article Text |
id | pubmed-7652682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-76526822020-11-13 A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development Husted, Karina Louise Skov Fogelstrøm, Mathilde Hulst, Pernille Brink-Kjær, Andreas Henneberg, Kaj-Åge Sorensen, Helge Bjarup Dissing Dela, Flemming Helge, Jørn Wulff JMIR Res Protoc Protocol 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 JMIR Publications 2020-10-26 /pmc/articles/PMC7652682/ /pubmed/33104001 http://dx.doi.org/10.2196/19209 Text en ©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. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Protocol Husted, Karina Louise Skov Fogelstrøm, Mathilde Hulst, Pernille Brink-Kjær, Andreas Henneberg, Kaj-Åge Sorensen, Helge Bjarup Dissing Dela, Flemming Helge, Jørn Wulff A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development |
title | A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development |
title_full | A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development |
title_fullStr | A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development |
title_full_unstemmed | A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development |
title_short | A Biological Age Model Designed for Health Promotion Interventions: Protocol for an Interdisciplinary Study for Model Development |
title_sort | biological age model designed for health promotion interventions: protocol for an interdisciplinary study for model development |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652682/ https://www.ncbi.nlm.nih.gov/pubmed/33104001 http://dx.doi.org/10.2196/19209 |
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