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dc.contributor.authorFairclough, Stuart J.
dc.contributor.authorRowlands, Alex V.
dc.contributor.authordel Pozo Cruz, Borja
dc.contributor.authorCrotti, Matteo
dc.contributor.authorFoweather, Lawrence
dc.contributor.authorGraves, Lee E. F.
dc.contributor.authorHurter, Liezel
dc.contributor.authorJones, Owen
dc.contributor.authorMacDonald, Mhairi
dc.contributor.authorMcCann, Deborah A.
dc.contributor.authorMiller, Caitlin
dc.contributor.authorNoonan, Robert J.
dc.contributor.authorOwen, Michael B.
dc.contributor.authorRudd, James Robert
dc.contributor.authorTaylor, Sarah L.
dc.contributor.authorTyler, Richard
dc.contributor.authorBoddy, Lynne M.
dc.date.accessioned2023-10-23T12:38:45Z
dc.date.available2023-10-23T12:38:45Z
dc.date.created2023-04-27T13:46:10Z
dc.date.issued2023
dc.identifier.citationInternational Journal of Behavioral Nutrition and Physical Activity. 20(2023), Artikkel 35.en_US
dc.identifier.issn1479-5868
dc.identifier.urihttps://hdl.handle.net/11250/3098118
dc.descriptionThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_US
dc.description.abstractBackground: Over the last decade use of raw acceleration metrics to assess physical activity has increased. Metrics such as Euclidean Norm Minus One (ENMO), and Mean Amplitude Deviation (MAD) can be used to generate metrics which describe physical activity volume (average acceleration), intensity distribution (intensity gradient), and intensity of the most active periods (MX metrics) of the day. Presently, relatively little comparative data for these metrics exists in youth. To address this need, this study presents age- and sex-specific reference percentile values in England youth and compares physical activity volume and intensity profiles by age and sex. Methods: Wrist-worn accelerometer data from 10 studies involving youth aged 5 to 15 y were pooled. Weekday and weekend waking hours were first calculated for youth in school Years (Y) 1&2, Y4&5, Y6&7, and Y8&9 to determine waking hours durations by age-groups and day types. A valid waking hours day was defined as accelerometer wear for ≥ 600 min·d−1 and participants with ≥ 3 valid weekdays and ≥ 1 valid weekend day were included. Mean ENMO- and MAD-generated average acceleration, intensity gradient, and MX metrics were calculated and summarised as weighted week averages. Sex-specific smoothed percentile curves were generated for each metric using Generalized Additive Models for Location Scale and Shape. Linear mixed models examined age and sex differences. Results: The analytical sample included 1250 participants. Physical activity peaked between ages 6.5–10.5 y, depending on metric. For all metrics the highest activity levels occurred in less active participants (3rd-50th percentile) and girls, 0.5 to 1.5 y earlier than more active peers, and boys, respectively. Irrespective of metric, boys were more active than girls (p < .001) and physical activity was lowest in the Y8&9 group, particularly when compared to the Y1&2 group (p < .001). Conclusions: Percentile reference values for average acceleration, intensity gradient, and MX metrics have utility in describing age- and sex-specific values for physical activity volume and intensity in youth. There is a need to generate nationally-representative wrist-acceleration population-referenced norms for these metrics to further facilitate health-related physical activity research and promotion.en_US
dc.language.isoengen_US
dc.subjectaverage accelerationen_US
dc.subjectENMOen_US
dc.subjectintensity gradienten_US
dc.subjectMADen_US
dc.subjectMVPAen_US
dc.subjectMX metricsen_US
dc.subjectraw dataen_US
dc.subjectyouthen_US
dc.titleReference values for wrist-worn accelerometer physical activity metrics in England children and adolescentsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2023en_US
dc.source.pagenumber14en_US
dc.source.volume20en_US
dc.source.journalInternational Journal of Behavioral Nutrition and Physical Activityen_US
dc.identifier.doi10.1186/s12966-023-01435-z
dc.identifier.cristin2143839
dc.description.localcodeInstitutt for lærerutdanning og friluftslivsstudier / Department of Teacher Education and Outdoor Studiesen_US
dc.source.articlenumber35en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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