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Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study

Francesco Sera, Lucy Griffiths Orcid Logo, Carol Dezateux, Marco Geraci, Mario Cortina-Borja

PLOS ONE, Volume: 12, Issue: 11, Start page: e0187677

Swansea University Author: Lucy Griffiths Orcid Logo

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DOI (Published version): 10.1371/journal.pone.0187677

Published in: PLOS ONE
ISSN: 1932-6203
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa43827
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spelling 2018-10-26T09:14:39.0347032 v2 43827 2018-09-13 Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study e35ea6ea4b429e812ef204b048131d93 0000-0001-9230-624X Lucy Griffiths Lucy Griffiths true false 2018-09-13 MEDS Journal Article PLOS ONE 12 11 e0187677 1932-6203 8 11 2017 2017-11-08 10.1371/journal.pone.0187677 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2018-10-26T09:14:39.0347032 2018-09-13T12:07:58.5127791 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Francesco Sera 1 Lucy Griffiths 0000-0001-9230-624X 2 Carol Dezateux 3 Marco Geraci 4 Mario Cortina-Borja 5 0043827-01102018153620.pdf 43827.pdf 2018-10-01T15:36:20.8330000 Output 1569686 application/pdf Version of Record true 2018-10-01T00:00:00.0000000 This is an open access article distributed under the terms of the Creative Commons Attribution License. true eng
title Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study
spellingShingle Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study
Lucy Griffiths
title_short Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study
title_full Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study
title_fullStr Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study
title_full_unstemmed Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study
title_sort Using functional data analysis to understand daily activity levels and patterns in primary school-aged children: Cross-sectional analysis of a UK-wide study
author_id_str_mv e35ea6ea4b429e812ef204b048131d93
author_id_fullname_str_mv e35ea6ea4b429e812ef204b048131d93_***_Lucy Griffiths
author Lucy Griffiths
author2 Francesco Sera
Lucy Griffiths
Carol Dezateux
Marco Geraci
Mario Cortina-Borja
format Journal article
container_title PLOS ONE
container_volume 12
container_issue 11
container_start_page e0187677
publishDate 2017
institution Swansea University
issn 1932-6203
doi_str_mv 10.1371/journal.pone.0187677
college_str Faculty of Medicine, Health and Life Sciences
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hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
published_date 2017-11-08T04:24:37Z
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