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

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dc.contributor.authorFitzgerald, Anthony P.
dc.contributor.authorKearney, Patricia M.
dc.contributor.authorPerry, Ivan J.
dc.contributor.authorDillon, Christina B.
dc.contributor.authorRennie, Kirsten L.
dc.contributor.authorKozarski, Robert
dc.contributor.authorPhillips, Catherine M.
dc.contributor.funderHealth Research Boarden
dc.date.accessioned2017-05-05T11:12:10Z
dc.date.available2017-05-05T11:12:10Z
dc.date.issued2016-05-05
dc.date.updated2017-05-05T11:02:52Z
dc.description.abstractIntroduction: 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.sponsorshipHealth Research Board, Ireland (reference HRC/2007/13)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationDillon, 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.0109913en
dc.identifier.doi10.1371/journal.pone.0109913
dc.identifier.endpagee0109913-11en
dc.identifier.issn1932-6203
dc.identifier.issued5en
dc.identifier.journaltitlePlos Oneen
dc.identifier.startpagee0109913-1en
dc.identifier.urihttps://hdl.handle.net/10468/3923
dc.identifier.volume11en
dc.language.isoenen
dc.publisherPublic Library of Scienceen
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.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectAccelerometersen
dc.subjectPhysical activityen
dc.subjectWristen
dc.subjectData processingen
dc.subjectBehavioren
dc.subjectAdultsen
dc.subjectData managementen
dc.subjectData reductionen
dc.titleNumber of days required to estimate habitual activity using wrist-worn GENEActiv accelerometer: a cross-sectional studyen
dc.typeArticle (peer-reviewed)en
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