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Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance

dc.contributor.authorMigueles, Jairo H.
dc.contributor.authorMolina García, Pablo
dc.contributor.authorTorres-López, Lucía V.
dc.contributor.authorCadenas-Sánchez, Cristina
dc.contributor.authorRowlands, Alex V.
dc.contributor.authorEbner-Priemer, Ulrich W.
dc.contributor.authorKoch, Elena D.
dc.contributor.authorReif, Andreas
dc.contributor.authorOrtega, Francisco B.
dc.contributor.departmentOsasun Zientziakeu
dc.contributor.departmentInstitute on Innovation and Sustainable Development in Food Chain - ISFOODen
dc.contributor.departmentCiencias de la Saludes_ES
dc.date.accessioned2022-06-28T09:01:46Z
dc.date.available2022-06-28T09:01:46Z
dc.date.issued2022
dc.date.updated2022-06-28T09:01:46Z
dc.description.abstractThe benefits of physical activity (PA) and sleep for health, accurate and objective population-based surveillance is important. Monitor-based surveillance has potential, but the main challenge is the need for replicable outcomes from different monitors. This study investigated the agreement of movement behavior outcomes assessed with four research-grade activity monitors (i.e., Movisens Move4, ActiGraph GT3X+, GENEActiv, and Axivity AX3) in adults. Twenty-three participants wore four monitors on the non-dominant wrist simultaneously for seven days. Open-source software (GGIR) was used to estimate the daily time in sedentary, light, moderate-to-vigorous PA (MVPA), and sleep (movement behaviors). The prevalence of participants meeting the PA and sleep recommendations were calculated from each monitor's data. Outcomes were deemed equivalent between monitors if the absolute standardized difference and its 95% confidence intervals (CI95%) fell within ± 0.2 standard deviations (SD) of the mean of the differences. The participants were mostly men (n = 14, 61%) and aged 36 (SD = 14) years. Pairwise confusion matrices showed that 83-87% of the daily time was equally classified into the movement categories by the different pairs of monitors. The between-monitor difference in MVPA ranged from 1 (CI95%:- 6, 7) to 8 (CI95%: 1, 15) min/day. Most of the PA and sleep metrics could be considered equivalent. The prevalence of participants meeting the PA and the sleep guidelines was 100% consistent across monitors (22 and 5 participants out of the 23, respectively). Our findings indicate that the various research-grade activity monitors investigated show high inter-instrument reliability with respect to sedentary, PA and sleep-related estimates when their raw data are processed in an identical manner. These findings may have important implications for advancement towards monitor-based PA and sleep surveillance systems.en
dc.description.sponsorshipThis study was conducted under the umbrella of the CoCA project supported by the European Union's 2020 research and innovation program (grant agreement #667302). JHM is supported by the Swedish Research Council for Health, Working Life and Welfare (2021-00036). CC-S is supported by a Grant from the Spanish Ministry of Science and Innovation (FJC2018-037925-I). LVT-L is supported by a grant from the Spanish Ministry of Science, Innovation and Universities (FPU17/04802). AVR is supported by the NIHR Leicester Biomedical Research Centre, and the Collaboration for leadership in Applied Health Research and Care (CLAHRC) East Midlands. Additional funding was obtained from the University of Granada, Plan Propio de Investigación 2016, Excellence actions: Units of Excellence; Scientific Excellence Unit on Exercise and Health (UCEENS). Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades and European Regional Development Funds (ref. SOMM17/6107/UGR). In addition, funding was provided by the SAMID III network, RETICS, funded by the PN I + D+I 2017-2021 (Spain), ISCIII-Sub-Directorate General for Research Assessment and Promotion, the European Regional Development Fund (ERDF) (Ref. RD16/0022), and the EXERNET Research Network on Exercise and Health (DEP2005-00046/ACTI; 09/UPB/19; 45/UPB/20; 27/UPB/21).en
dc.format.extent9 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMigueles, J. H.; Molina-Garcia, P.; Torres-Lopez, L. V.; Cadenas-Sanchez, C.; Rowlands, A. V.; Ebner-Priemer, U. W.; Koch, E. D.; Reif, A.; Ortega, F. B. (2022). Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance. Scientific reports. vol. 12,en
dc.identifier.doi10.1038/s41598-022-09469-2
dc.identifier.issn2045-2322
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/43214
dc.language.isoengen
dc.publisherSpringer Natureen
dc.relation.ispartofScientific Reports, 2022, vol. 12en
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/667302en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/FPU17%2F04802en
dc.relation.publisherversionhttps://doi.org/10.1038/s41598-022-09469-2
dc.rights© The Author(s) 2022. 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.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPopulation screeningen
dc.subjectRisk factorsen
dc.titleEquivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillanceen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dspace.entity.typePublication
relation.isAuthorOfPublicationeeecebce-3369-4e9a-8372-894379eeaa96
relation.isAuthorOfPublication.latestForDiscoveryeeecebce-3369-4e9a-8372-894379eeaa96

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