Association between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adults

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dc.contributor.authorCrowe, Columen
dc.contributor.authorBarton, Johnen
dc.contributor.authorO’Flynn, Brendanen
dc.contributor.authorTedesco, Salvatoreen
dc.contributor.funderHorizon 2020en
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderInterregen
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2024-06-12T10:17:26Z
dc.date.available2024-06-12T10:17:26Z
dc.date.issued2024-05-08en
dc.description.abstractIntroduction: Wrist-worn activity monitors have seen widespread adoption in recent times, particularly in young and sport-oriented cohorts, while their usage among older adults has remained relatively low. The main limitations are in regards to the lack of medical insights that current mainstream activity trackers can provide to older subjects. One of the most important research areas under investigation currently is the possibility of extrapolating clinical information from these wearable devices. Methods: The research question of this study is understanding whether accelerometry data collected for 7-days in free-living environments using a consumer-based wristband device, in conjunction with data-driven machine learning algorithms, is able to predict hand grip strength and possible conditions categorized by hand grip strength in a general population consisting of middle-aged and older adults. Results: The results of the regression analysis reveal that the performance of the developed models is notably superior to a simple mean-predicting dummy regressor. While the improvement in absolute terms may appear modest, the mean absolute error (6.32 kg for males and 4.53 kg for females) falls within the range considered sufficiently accurate for grip strength estimation. The classification models, instead, excel in categorizing individuals as frail/pre-frail, or healthy, depending on the T-score levels applied for frailty/pre-frailty definition. While cut-off values for frailty vary, the results suggest that the models can moderately detect characteristics associated with frailty (AUC-ROC: 0.70 for males, and 0.76 for females) and viably detect characteristics associated with frailty/pre-frailty (AUC-ROC: 0.86 for males, and 0.87 for females). Conclusions: The results of this study can enable the adoption of wearable devices as an efficient tool for clinical assessment in older adults with multimorbidities, improving and advancing integrated care, diagnosis and early screening of a number of widespread diseases.en
dc.description.sponsorshipEuropean Commision (Interreg Northern Periphery and Arctic, INTERREG NPA funded project SenDOC)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid108en
dc.identifier.citationCrowe, C., Barton, J., O’Flynn, B. and Tedesco, S. (2024) ‘Association between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adults’, Aging Clinical and Experimental Research, 36(1), 108. Available at: https://doi.org/10.1007/s40520-024-02757-zen
dc.identifier.doihttps://doi.org/10.1007/s40520-024-02757-zen
dc.identifier.endpage8en
dc.identifier.issn1720-8319en
dc.identifier.issued1en
dc.identifier.journaltitleAging Clinical and Experimental Researchen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/15999
dc.identifier.volume36en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofAging Clinical and Experimental Researchen
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/689996/EU/Integrated Technology Ecosystem for ProACTive Patient Centred Care/ProACTen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 2/12/RC/2289-P2s/IE/INSIGHT Phase 2/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.rights© The Authors 2024. Open Access This 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/.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAccelerometryen
dc.subjectWearable sensorsen
dc.subjectOlder adultsen
dc.subjectHand grip strengthen
dc.subjectWrist-band devicesen
dc.subjectFrailtyen
dc.subjectPrefrailtyen
dc.titleAssociation between wrist-worn free-living accelerometry and hand grip strength in middle-aged and older adultsen
dc.typeArticle (peer-reviewed)en
oaire.citation.issue1en
oaire.citation.volume36en
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