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Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records

Haider Raza, Shang-ming Zhou Orcid Logo, Charlotte Todd, Danielle Christian, Emily Marchant, Kelly Morgan, Ashra Khanom Orcid Logo, Rebecca Hill, Ronan Lyons Orcid Logo, Sinead Brophy Orcid Logo

Pediatric Obesity, Volume: 14, Issue: 7, Start page: e12512

Swansea University Authors: Shang-ming Zhou Orcid Logo, Kelly Morgan, Ashra Khanom Orcid Logo, Ronan Lyons Orcid Logo, Sinead Brophy Orcid Logo

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DOI (Published version): 10.1111/ijpo.12512

Abstract

Physical activity (PA) levels are associated with long-term health, and levels of PA when young are predictive of adult activity levels.

Published in: Pediatric Obesity
ISSN: 2047-6302 2047-6310
Published: Wiley 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa49647
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first_indexed 2019-03-20T13:59:11Z
last_indexed 2023-02-15T03:58:10Z
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spelling 2023-02-14T16:46:44.1184985 v2 49647 2019-03-20 Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records 118578a62021ba8ef61398da0a8750da 0000-0002-0719-9353 Shang-ming Zhou Shang-ming Zhou true false ff6d246c94e7c518ba4ba2cf211b720d Kelly Morgan Kelly Morgan true false 1f0f14742e3a36e8fd6d29f59374a009 0000-0002-5735-6601 Ashra Khanom Ashra Khanom true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 84f5661b35a729f55047f9e793d8798b 0000-0001-7417-2858 Sinead Brophy Sinead Brophy true false 2019-03-20 BMS Physical activity (PA) levels are associated with long-term health, and levels of PA when young are predictive of adult activity levels. Journal Article Pediatric Obesity 14 7 e12512 Wiley 2047-6302 2047-6310 gestation; infants; physical activity; postnatal development 1 7 2019 2019-07-01 10.1111/ijpo.12512 COLLEGE NANME Biomedical Sciences COLLEGE CODE BMS Swansea University UKRI, MR/K006525/1 2023-02-14T16:46:44.1184985 2019-03-20T11:28:49.5080506 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Haider Raza 1 Shang-ming Zhou 0000-0002-0719-9353 2 Charlotte Todd 3 Danielle Christian 4 Emily Marchant 5 Kelly Morgan 6 Ashra Khanom 0000-0002-5735-6601 7 Rebecca Hill 8 Ronan Lyons 0000-0001-5225-000X 9 Sinead Brophy 0000-0001-7417-2858 10 0049647-20032019113014.pdf 49647.APCE045.pdf 2019-03-20T11:30:14.0430000 Output 331772 application/pdf Version of Record true 2019-02-06T00:00:00.0000000 Distributed under the terms of a Creative Commons Attribution CC-BY License. true eng
title Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records
spellingShingle Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records
Shang-ming Zhou
Kelly Morgan
Ashra Khanom
Ronan Lyons
Sinead Brophy
title_short Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records
title_full Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records
title_fullStr Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records
title_full_unstemmed Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records
title_sort Predictors of objectively measured physical activity in 12‐month‐old infants: A study of linked birth cohort data with electronic health records
author_id_str_mv 118578a62021ba8ef61398da0a8750da
ff6d246c94e7c518ba4ba2cf211b720d
1f0f14742e3a36e8fd6d29f59374a009
83efcf2a9dfcf8b55586999d3d152ac6
84f5661b35a729f55047f9e793d8798b
author_id_fullname_str_mv 118578a62021ba8ef61398da0a8750da_***_Shang-ming Zhou
ff6d246c94e7c518ba4ba2cf211b720d_***_Kelly Morgan
1f0f14742e3a36e8fd6d29f59374a009_***_Ashra Khanom
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
84f5661b35a729f55047f9e793d8798b_***_Sinead Brophy
author Shang-ming Zhou
Kelly Morgan
Ashra Khanom
Ronan Lyons
Sinead Brophy
author2 Haider Raza
Shang-ming Zhou
Charlotte Todd
Danielle Christian
Emily Marchant
Kelly Morgan
Ashra Khanom
Rebecca Hill
Ronan Lyons
Sinead Brophy
format Journal article
container_title Pediatric Obesity
container_volume 14
container_issue 7
container_start_page e12512
publishDate 2019
institution Swansea University
issn 2047-6302
2047-6310
doi_str_mv 10.1111/ijpo.12512
publisher Wiley
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 - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
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description Physical activity (PA) levels are associated with long-term health, and levels of PA when young are predictive of adult activity levels.
published_date 2019-07-01T04:00:49Z
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