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Are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort?
BACKGROUND: When older adults fall below the thresholds of functional geriatric assessment (FGA), they may already be at risk of mobility impairment. A reduction in (jumping) power could be an indication of functional decline, one of the main risk factors for falls. OBJECTIVE: This paper explores wh...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675680/ https://www.ncbi.nlm.nih.gov/pubmed/36053442 http://dx.doi.org/10.1007/s40520-022-02230-9 |
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author | Diekmann, Rebecca Hellmers, Sandra Lau, Sandra Heinks, Andrea Elgert, Lena Bauer, Juergen M. Zieschang, Tania Hein, Andreas |
author_facet | Diekmann, Rebecca Hellmers, Sandra Lau, Sandra Heinks, Andrea Elgert, Lena Bauer, Juergen M. Zieschang, Tania Hein, Andreas |
author_sort | Diekmann, Rebecca |
collection | PubMed |
description | BACKGROUND: When older adults fall below the thresholds of functional geriatric assessment (FGA), they may already be at risk of mobility impairment. A reduction in (jumping) power could be an indication of functional decline, one of the main risk factors for falls. OBJECTIVE: This paper explores whether six-month delta (∆) values of muscle power can predict 24-month follow-up FGA in older adults. METHODS: This observational study of independent, healthy, high-performing community-dwelling adults aged 70 + years involved FGA (mobility, balance, and endurance tests) at baseline (t(0)), after 6 months (t(1)), and after 24 months (t(2)); maximum jumping power (max JP) was determined at t(0) and t(1). A predictive linear model was developed in which the percentage change of Δmax JP(0,1) was transferred to all FGA (t(0)) values. The results were compared with measured FGA values at t(2) via sensitivity and specificity in terms of the clinically meaningful change (CMC) or the minimal detectable change (MDC). RESULTS: In 176 individuals (60% female, mean age 75.3 years) the mean percentage (SD) between predicted and measured FGA ranged between 0.4 (51.3) and 18.11 (51.9). Sensitivity to identify the CMC or MDC of predicted FGA tests at t(2) ranged between 17.6% (Timed up and go) and 75.0% (5-times-chair-rise) in a test-to-test comparison and increased to 97.6% considering clinically conspicuousness on global FGA. CONCLUSION: The potential of jumping power to predict single tests of FGA was low regarding sensitivity and specificity of CMC (or MDC). 6 months Δmax JP seem to be suitable for predicting physical function, if the measured and predicted tests were not compared at the test level, but globally, in the target group in the long term. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40520-022-02230-9. |
format | Online Article Text |
id | pubmed-9675680 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-96756802022-11-21 Are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort? Diekmann, Rebecca Hellmers, Sandra Lau, Sandra Heinks, Andrea Elgert, Lena Bauer, Juergen M. Zieschang, Tania Hein, Andreas Aging Clin Exp Res Original Article BACKGROUND: When older adults fall below the thresholds of functional geriatric assessment (FGA), they may already be at risk of mobility impairment. A reduction in (jumping) power could be an indication of functional decline, one of the main risk factors for falls. OBJECTIVE: This paper explores whether six-month delta (∆) values of muscle power can predict 24-month follow-up FGA in older adults. METHODS: This observational study of independent, healthy, high-performing community-dwelling adults aged 70 + years involved FGA (mobility, balance, and endurance tests) at baseline (t(0)), after 6 months (t(1)), and after 24 months (t(2)); maximum jumping power (max JP) was determined at t(0) and t(1). A predictive linear model was developed in which the percentage change of Δmax JP(0,1) was transferred to all FGA (t(0)) values. The results were compared with measured FGA values at t(2) via sensitivity and specificity in terms of the clinically meaningful change (CMC) or the minimal detectable change (MDC). RESULTS: In 176 individuals (60% female, mean age 75.3 years) the mean percentage (SD) between predicted and measured FGA ranged between 0.4 (51.3) and 18.11 (51.9). Sensitivity to identify the CMC or MDC of predicted FGA tests at t(2) ranged between 17.6% (Timed up and go) and 75.0% (5-times-chair-rise) in a test-to-test comparison and increased to 97.6% considering clinically conspicuousness on global FGA. CONCLUSION: The potential of jumping power to predict single tests of FGA was low regarding sensitivity and specificity of CMC (or MDC). 6 months Δmax JP seem to be suitable for predicting physical function, if the measured and predicted tests were not compared at the test level, but globally, in the target group in the long term. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40520-022-02230-9. Springer International Publishing 2022-09-02 2022 /pmc/articles/PMC9675680/ /pubmed/36053442 http://dx.doi.org/10.1007/s40520-022-02230-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Diekmann, Rebecca Hellmers, Sandra Lau, Sandra Heinks, Andrea Elgert, Lena Bauer, Juergen M. Zieschang, Tania Hein, Andreas Are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort? |
title | Are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort? |
title_full | Are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort? |
title_fullStr | Are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort? |
title_full_unstemmed | Are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort? |
title_short | Are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort? |
title_sort | are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675680/ https://www.ncbi.nlm.nih.gov/pubmed/36053442 http://dx.doi.org/10.1007/s40520-022-02230-9 |
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