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A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at 'high risk of type 2 diabetes

B. J. Gray, J. W. Stephens, D. Turner, M. Thomas, S. P. Williams, K. Morgan, M. Williams, S. Rice, R. M. Bracken, Richard Bracken Orcid Logo, Jeffrey Stephens Orcid Logo

Diabetes and Vascular Disease Research, Volume: 14, Issue: 1, Pages: 47 - 54

Swansea University Authors: Richard Bracken Orcid Logo, Jeffrey Stephens Orcid Logo

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DOI (Published version): 10.1177/1479164116666476

Published in: Diabetes and Vascular Disease Research
ISSN: 1479-1641 1752-8984
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa31532
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first_indexed 2016-12-29T20:58:29Z
last_indexed 2019-09-16T19:46:40Z
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spelling 2019-09-16T14:29:41.6147870 v2 31532 2016-12-29 A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at 'high risk of type 2 diabetes f5da81cd18adfdedb2ccb845bddc12f7 0000-0002-6986-6449 Richard Bracken Richard Bracken true false 5219d126f97f8f884bdb622099bd41de 0000-0003-2228-086X Jeffrey Stephens Jeffrey Stephens true false 2016-12-29 STSC Journal Article Diabetes and Vascular Disease Research 14 1 47 54 1479-1641 1752-8984 1 1 2017 2017-01-01 10.1177/1479164116666476 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2019-09-16T14:29:41.6147870 2016-12-29T15:08:20.0323488 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine B. J. Gray 1 J. W. Stephens 2 D. Turner 3 M. Thomas 4 S. P. Williams 5 K. Morgan 6 M. Williams 7 S. Rice 8 R. M. Bracken 9 Richard Bracken 0000-0002-6986-6449 10 Jeffrey Stephens 0000-0003-2228-086X 11 0031532-03012017115249.pdf Gray2016.pdf 2017-01-03T11:52:49.2670000 Output 539379 application/pdf Accepted Manuscript true 2016-10-20T00:00:00.0000000 true
title A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at 'high risk of type 2 diabetes
spellingShingle A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at 'high risk of type 2 diabetes
Richard Bracken
Jeffrey Stephens
title_short A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at 'high risk of type 2 diabetes
title_full A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at 'high risk of type 2 diabetes
title_fullStr A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at 'high risk of type 2 diabetes
title_full_unstemmed A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at 'high risk of type 2 diabetes
title_sort A non-exercise method to determine cardiorespiratory fitness identifies females predicted to be at 'high risk of type 2 diabetes
author_id_str_mv f5da81cd18adfdedb2ccb845bddc12f7
5219d126f97f8f884bdb622099bd41de
author_id_fullname_str_mv f5da81cd18adfdedb2ccb845bddc12f7_***_Richard Bracken
5219d126f97f8f884bdb622099bd41de_***_Jeffrey Stephens
author Richard Bracken
Jeffrey Stephens
author2 B. J. Gray
J. W. Stephens
D. Turner
M. Thomas
S. P. Williams
K. Morgan
M. Williams
S. Rice
R. M. Bracken
Richard Bracken
Jeffrey Stephens
format Journal article
container_title Diabetes and Vascular Disease Research
container_volume 14
container_issue 1
container_start_page 47
publishDate 2017
institution Swansea University
issn 1479-1641
1752-8984
doi_str_mv 10.1177/1479164116666476
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
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 2017-01-01T03:38:32Z
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score 11.013731

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