Estimating sleep parameters using an accelerometer without sleep diary
dc.contributor.author | van Hees, VT | |
dc.contributor.author | Sabia, S | |
dc.contributor.author | Jones, SE | |
dc.contributor.author | Wood, AR | |
dc.contributor.author | Anderson, KN | |
dc.contributor.author | Kivimäki, M | |
dc.contributor.author | Frayling, TM | |
dc.contributor.author | Pack, AI | |
dc.contributor.author | Bucan, M | |
dc.contributor.author | Trenell, MI | |
dc.contributor.author | Mazzotti, DR | |
dc.contributor.author | Gehrman, PR | |
dc.contributor.author | Singh-Manoux, BA | |
dc.contributor.author | Weedon, MN | |
dc.date.accessioned | 2019-02-06T14:41:56Z | |
dc.date.issued | 2018-08-28 | |
dc.description.abstract | Wrist worn raw-data accelerometers are used increasingly in large-scale population research. We examined whether sleep parameters can be estimated from these data in the absence of sleep diaries. Our heuristic algorithm uses the variance in estimated z-axis angle and makes basic assumptions about sleep interruptions. Detected sleep period time window (SPT-window) was compared against sleep diary in 3752 participants (range = 60–82 years) and polysomnography in sleep clinic patients (N = 28) and in healthy good sleepers (N = 22). The SPT-window derived from the algorithm was 10.9 and 2.9 minutes longer compared with sleep diary in men and women, respectively. Mean C-statistic to detect the SPT-window compared to polysomnography was 0.86 and 0.83 in clinic-based and healthy sleepers, respectively. We demonstrated the accuracy of our algorithm to detect the SPT-window. The value of this algorithm lies in studies such as UK Biobank where a sleep diary was not used. | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | National Institute of Health (NIH) | en_GB |
dc.identifier.citation | Vol. 8: 12975 | en_GB |
dc.identifier.doi | 10.1038/s41598-018-31266-z | |
dc.identifier.grantnumber | MR/P012167/1 | en_GB |
dc.identifier.grantnumber | HL-094307 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/35759 | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.source | Whitehall II data, protocols, and other metadata are available to the scientific community. Please refer to the Whitehall II data sharing policy at https://www.ucl.ac.uk/whitehallII/data-sharing. Raw data from the polysomnography study has been made open access available in anonymized format on zenodo.org35. Data from the University of Pennsylvania are available through the National Institute of Mental Health data archive. | en_GB |
dc.rights | This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2018 | en_GB |
dc.title | Estimating sleep parameters using an accelerometer without sleep diary | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-02-06T14:41:56Z | |
dc.identifier.issn | 2045-2322 | |
dc.description | This is the final version. Available from the publisher via the DOI in this record. | en_GB |
dc.identifier.journal | Scientific Reports | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2018-08-08 | |
exeter.funder | ::Medical Research Council (MRC) | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2018-08-28 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-02-06T14:31:29Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-02-06T14:41:58Z | |
refterms.panel | A | en_GB |
refterms.depositException | publishedGoldOA | |
refterms.depositExceptionExplanation | https://doi.org/10.1038/s41598-018-31266-z |
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© The Author(s) 2018