Number of days required to estimate habitual activity using wrist-worn GENEActiv accelerometer: a cross-sectional study

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dc.contributor.author Fitzgerald, Anthony P.
dc.contributor.author Kearney, Patricia M.
dc.contributor.author Perry, Ivan J.
dc.contributor.author Dillon, Christina B.
dc.contributor.author Rennie, Kirsten L.
dc.contributor.author Kozarski, Robert
dc.contributor.author Phillips, Catherine M.
dc.date.accessioned 2017-05-05T11:12:10Z
dc.date.available 2017-05-05T11:12:10Z
dc.date.issued 2016-05-05
dc.identifier.citation Dillon, C. B., Fitzgerald, A. P., Kearney, P. M., Perry, I. J., Rennie, K. L., Kozarski, R. and Phillips, C. M. (2016) 'Number of Days Required to Estimate Habitual Activity Using Wrist-Worn GENEActiv Accelerometer: A Cross-Sectional Study', PLOS ONE, 11(5), pp. e0109913. doi: 10.1371/journal.pone.0109913 en
dc.identifier.volume 11 en
dc.identifier.issued 5 en
dc.identifier.startpage e0109913-1 en
dc.identifier.endpage e0109913-11 en
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10468/3923
dc.identifier.doi 10.1371/journal.pone.0109913
dc.description.abstract Introduction: Objective methods like accelerometers are feasible for large studies and may quantify variability in day-to-day physical activity better than self-report. The variability between days suggests that day of the week cannot be ignored in the design and analysis of physical activity studies. The purpose of this paper is to investigate the optimal number of days needed to obtain reliable estimates of weekly habitual physical activity using the wrist-worn GENEActiv accelerometer. Methods: Data are from a subsample of the Mitchelstown cohort; 475 (44.6% males; mean aged 59.6±5.5 years) middle-aged Irish adults. Participants wore the wrist GENEActiv accelerometer for 7-consecutive days. Data were collected at 100Hz and summarised into a signal magnitude vector using 60s epochs. Each time interval was categorised according to intensity based on validated cut-offs. Spearman pairwise correlations determined the association between days of the week. Repeated measures ANOVA examined differences in average minutes across days. Intraclass correlations examined the proportion of variability between days, and Spearman-Brown formula estimated intra-class reliability coefficient associated with combinations of 1–7 days. Results: Three hundred and ninety-seven adults (59.7±5.5yrs) had valid accelerometer data. Overall, men were most sedentary on weekends while women spent more time in sedentary behaviour on Sunday through Tuesday. Post hoc analysis found sedentary behaviour and light activity levels on Sunday to differ to all other days in the week. Analysis revealed greater than 1 day monitoring is necessary to achieve acceptable reliability. Monitoring frame duration for reliable estimates varied across intensity categories, (sedentary (3 days), light (2 days), moderate (2 days) and vigorous activity (6 days) and MVPA (2 days)). Conclusion: These findings provide knowledge into the behavioural variability in weekly activity patterns of middle-aged adults. Since Sunday differed from all other days in the week this suggests that day of the week cannot be overlooked in the design and analysis of physical activity studies and thus should be included in the study monitoring frames. Collectively our data suggest that six days monitoring, inclusive of Saturday and Sunday, are needed to reliably capture weekly habitual activity in all activity intensities using the wrist-worn GENEActiv accelerometer. en
dc.description.sponsorship Health Research Board, Ireland (reference HRC/2007/13) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Public Library of Science en
dc.rights © 2016 Dillon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. en
dc.rights.uri https://creativecommons.org/licenses/by/4.0/ en
dc.subject Accelerometers en
dc.subject Physical activity en
dc.subject Wrist en
dc.subject Data processing en
dc.subject Behavior en
dc.subject Adults en
dc.subject Data management en
dc.subject Data reduction en
dc.title Number of days required to estimate habitual activity using wrist-worn GENEActiv accelerometer: a cross-sectional study en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Christina Dillon, Epidemiology & Public Health, University College Cork, Cork, Ireland. +353-21-490-3000 Email: c.dillon@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2017-05-05T11:02:52Z
dc.description.version Published Version en
dc.internal.rssid 353247793
dc.contributor.funder Health Research Board en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Plos One en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress c.dillon@ucc.ie en


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© 2016 Dillon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Except where otherwise noted, this item's license is described as © 2016 Dillon et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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