Sökning: WFRF:(Grooten Wilhelmus J. A.) >
Detecting Prolonged...
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Kuster, Roman PKarolinska Institutet,Karolinska Institutet, Stockholm, Sweden
(författare)
Detecting Prolonged Sitting Bouts with the ActiGraph GT3X.
- Artikel/kapitelEngelska2020
Förlag, utgivningsår, omfång ...
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2019-12-22
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Stockholm :Wiley-Blackwell,2020
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printrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:gih-5934
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ISSN:0905-7188
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10616/47666hdl
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https://urn.kb.se/resolve?urn=urn:nbn:se:gih:diva-5934URI
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https://doi.org/10.1111/sms.13601DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:shh:diva-3531URI
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http://hdl.handle.net/10616/47666URI
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http://kipublications.ki.se/Default.aspx?queryparsed=id:142561137URI
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Språk:engelska
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Sammanfattning på:engelska
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Klassifikation
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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The ActiGraph has a high ability to measure physical activity, however, it lacks an accurate posture classification to measure sedentary behaviour. The aim of the present study was to develop an ActiGraph (waist-worn, 30Hz) posture classification to detect prolonged sitting bouts, and to compare the classification to proprietary ActiGraph data. The activPAL, a highly valid posture classification device, served as reference criterion.1 Both sensors were worn by 38 office workers over a median duration of 9 days. An automated feature selection extracted the relevant signal information for a minute based posture classification. The machine-learning algorithm with optimal feature number to predict the time in prolonged sitting bouts (≥5 and ≥10 minutes) was searched and compared to the activPAL using Bland-Altman statistics. The comparison included optimised and frequently used cut-points (100 and 150 counts-per-minute (cpm), with and without low-frequency-extension (LFE) filtering). The new algorithm predicted the time in prolonged sitting bouts most accurate (bias ≤7 minutes/day). Of all proprietary ActiGraph methods, only 150 cpm without LFE predicted the time in prolonged sitting bouts non-significantly different from the activPAL (bias ≤18 minutes/day). However, the frequently used 100 cpm with LFE accurately predicted total sitting time (bias ≤7 minutes/day). To study the health effects of ActiGraph measured prolonged sitting, we recommend using the new algorithm. In case a cut-point is used, we recommend 150 cpm without LFE to measure prolonged sitting, and 100 cpm with LFE to measure total sitting time. However, both cpm cut-points are not recommended for a detailed bout analysis.
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
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Grooten, Wilhelmus J AKarolinska Institutet,Karolinska Institutet, Stockholm, Sweden
(författare)
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Baumgartner, DanielZHAW Zurich University of Applied Sciences, Winterthur, Switzerland.
(författare)
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Blom, VictoriaGymnastik- och idrottshögskolan,Åstrandlaboratoriet,Karolinska Institutet, Stockholm, Sweden,Fysisk aktivitet och hjärnhälsa(Swepub:gih)victoriab
(författare)
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Hagströmer, MariaKarolinska Institutet,Sophiahemmet Högskola,Karolinska Institutet, Stockholm, Sweden(Swepub:shh)maria.hagstromer
(författare)
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Ekblom, Örjan,1971-Gymnastik- och idrottshögskolan,Åstrandlaboratoriet,Fysisk aktivitet och hjärnhälsa(Swepub:gih)orjane
(författare)
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Karolinska InstitutetKarolinska Institutet, Stockholm, Sweden
(creator_code:org_t)
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Karolinska Institutet
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Karolinska Institutet
Sammanhörande titlar
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Ingår i:Scandinavian Journal of Medicine and Science in SportsStockholm : Wiley-Blackwell30:3, s. 572-5820905-71881600-0838
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