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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 
,
Charlotte Todd,
Danielle Christian,
Emily Marchant,
Kelly Morgan,
Ashra Khanom ,
Rebecca Hill,
Ronan Lyons ,
Sinead Brophy
,
Charlotte Todd,
Danielle Christian,
Emily Marchant,
Kelly Morgan,
Ashra Khanom ,
Rebecca Hill,
Ronan Lyons ,
Sinead Brophy
Pediatric Obesity, Volume: 14, Issue: 7, Start page: e12512
Swansea University Authors:
Shang-ming Zhou , Kelly Morgan, Ashra Khanom , Ronan Lyons , Sinead Brophy
-
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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
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa49647 |
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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 |
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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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facultyofmedicinehealthandlifesciences |
| hierarchy_top_title |
Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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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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1763753118440357888 |
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11.037581 |