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

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

doi:10.1371/journal.pone.0187677

Journal article 511 views 109 downloads

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

, Carol Dezateux, Marco Geraci, Mario Cortina-Borja

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

Swansea University Author: Lucy Griffiths

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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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last_indexed	2018-10-26T13:15:04Z
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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 HDAT Journal Article PLOS ONE 12 11 e0187677 1932-6203 8 11 2017 2017-11-08 10.1371/journal.pone.0187677 COLLEGE NANME Health Data Science COLLEGE CODE HDAT 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
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author_id_fullname_str_mv	e35ea6ea4b429e812ef204b048131d93_***_Lucy Griffiths
author	Lucy Griffiths
author2	Francesco Sera Lucy Griffiths Carol Dezateux Marco Geraci Mario Cortina-Borja
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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_title	Faculty of Medicine, Health and Life Sciences
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department_str	Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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published_date	2017-11-08T03:55:11Z
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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

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