Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81658
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dc.contributorSchool of Nursing-
dc.creatorLee, PH-
dc.date.accessioned2020-02-10T12:28:28Z-
dc.date.available2020-02-10T12:28:28Z-
dc.identifier.issn0917-5040-
dc.identifier.urihttp://hdl.handle.net/10397/81658-
dc.language.isoenen_US
dc.publisherJapan Epidemiological Associationen_US
dc.rightsCopyright © 2018 Paul H. Lee. This is an open access article distributed under the terms of Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permitsunrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rightsThe following publication Lee, P. H. (2019). Determining the optimal number of wearing-days given a fixed number of accelerometers in population-level study. Journal of Epidemiology, 29(11), 432-443 is available at https://dx.doi.org/10.2188/jea.JE20180095en_US
dc.subjectAccelerometryen_US
dc.subjectEpidemiologyen_US
dc.subjectMeasurementen_US
dc.subjectOptimizationen_US
dc.subjectStatisticsen_US
dc.titleDetermining the optimal number of wearing-days given a fixed number of accelerometers in population-level studyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage432-
dc.identifier.epage443-
dc.identifier.volume29-
dc.identifier.issue11-
dc.identifier.doi10.2188/jea.JE20180095-
dcterms.abstractBackground: In research using accelerometers to measure physical activity, the number of accelerometers that can be utilized in a study and the study duration are both constrained. It means that increasing the number of accelerometer wearing days for all subjects leads to a decrease in the total number of participants the study can recruit. We used simulations to find the optimal combination of the number of wearing days and number of participant given a fixed number of accelerometer days.-
dcterms.abstractMethods: Two scenarios were studied here, including estimation of population physical activity level and the association between physical activity level and a health outcome. Another similar simulation was conducted by bootstrapping the National Health and Nutrition Examination Survey (NHANES) 2003-2006 accelerometer data (n = 4,069).-
dcterms.abstractResults: The simulation results of the first scenario showed that the error was minimized when the number of wearing days was 1 to 2. Simulation results of the second scenario showed that the optimal number of wearing days increased with the total number of accelerometer days and decreased with intra-class correlation (ICC).-
dcterms.abstractConclusion: We developed a tool for researchers to determine the optimal combination of the number of the accelerometer wearing days and the total number of participants and showed that 1 to 2 accelerometer wearing days is optimal for estimation of population physical activity level.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of epidemiology, Nov. 2019, v. 29, no. 11, p. 432-443-
dcterms.isPartOfJournal of epidemiology-
dcterms.issued2019-
dc.identifier.isiWOS:000488976700004-
dc.identifier.scopus2-s2.0-85074551344-
dc.identifier.eissn1349-9092-
dc.description.validate202002 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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