No Cover Image

Journal article 933 views 126 downloads

Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study

Scott T Chiesa, Stefano Masi, Martin J Shipley, Libby Ellins Orcid Logo, Alan G Fraser, Alun D Hughes, Riyaz S Patel, Ashraf W Khir, Julian Halcox Orcid Logo, Archana Singh-Manoux, Mika Kivimaki, David S Celermajer, John E Deanfield

European Heart Journal, Volume: 40, Issue: 28, Pages: 2300 - 2309

Swansea University Authors: Libby Ellins Orcid Logo, Julian Halcox Orcid Logo

  • 49207.pdf

    PDF | Version of Record

    This is an Open Access article distributed under the terms of the Creative Commons Attribution License.

    Download (469.45KB)
Published in: European Heart Journal
ISSN: 0195-668X 1522-9645
Published: Oxford University Press (OUP) 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa49207
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-03-14T20:00:40Z
last_indexed 2023-02-15T03:57:27Z
id cronfa49207
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2023-02-14T16:41:21.1740509</datestamp><bib-version>v2</bib-version><id>49207</id><entry>2019-03-14</entry><title>Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study</title><swanseaauthors><author><sid>553ce2abe05a6396e7dd6eadb6b90a6d</sid><ORCID>0000-0001-5164-6416</ORCID><firstname>Libby</firstname><surname>Ellins</surname><name>Libby Ellins</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>3676f695eeda169d0f8c618adf27c04b</sid><ORCID>0000-0001-6926-2947</ORCID><firstname>Julian</firstname><surname>Halcox</surname><name>Julian Halcox</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-03-14</date><deptcode>HDAT</deptcode><abstract/><type>Journal Article</type><journal>European Heart Journal</journal><volume>40</volume><journalNumber>28</journalNumber><paginationStart>2300</paginationStart><paginationEnd>2309</paginationEnd><publisher>Oxford University Press (OUP)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0195-668X</issnPrint><issnElectronic>1522-9645</issnElectronic><keywords/><publishedDay>21</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-07-21</publishedDate><doi>10.1093/eurheartj/ehz189</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-02-14T16:41:21.1740509</lastEdited><Created>2019-03-14T16:07:57.2845584</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</level></path><authors><author><firstname>Scott T</firstname><surname>Chiesa</surname><order>1</order></author><author><firstname>Stefano</firstname><surname>Masi</surname><order>2</order></author><author><firstname>Martin J</firstname><surname>Shipley</surname><order>3</order></author><author><firstname>Libby</firstname><surname>Ellins</surname><orcid>0000-0001-5164-6416</orcid><order>4</order></author><author><firstname>Alan G</firstname><surname>Fraser</surname><order>5</order></author><author><firstname>Alun D</firstname><surname>Hughes</surname><order>6</order></author><author><firstname>Riyaz S</firstname><surname>Patel</surname><order>7</order></author><author><firstname>Ashraf W</firstname><surname>Khir</surname><order>8</order></author><author><firstname>Julian</firstname><surname>Halcox</surname><orcid>0000-0001-6926-2947</orcid><order>9</order></author><author><firstname>Archana</firstname><surname>Singh-Manoux</surname><order>10</order></author><author><firstname>Mika</firstname><surname>Kivimaki</surname><order>11</order></author><author><firstname>David S</firstname><surname>Celermajer</surname><order>12</order></author><author><firstname>John E</firstname><surname>Deanfield</surname><order>13</order></author></authors><documents><document><filename>0049207-10042019143624.pdf</filename><originalFilename>49207.pdf</originalFilename><uploaded>2019-04-10T14:36:24.9470000</uploaded><type>Output</type><contentLength>477479</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-04-10T00:00:00.0000000</embargoDate><documentNotes>This is an Open Access article distributed under the terms of the Creative Commons Attribution License.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2023-02-14T16:41:21.1740509 v2 49207 2019-03-14 Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study 553ce2abe05a6396e7dd6eadb6b90a6d 0000-0001-5164-6416 Libby Ellins Libby Ellins true false 3676f695eeda169d0f8c618adf27c04b 0000-0001-6926-2947 Julian Halcox Julian Halcox true false 2019-03-14 HDAT Journal Article European Heart Journal 40 28 2300 2309 Oxford University Press (OUP) 0195-668X 1522-9645 21 7 2019 2019-07-21 10.1093/eurheartj/ehz189 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2023-02-14T16:41:21.1740509 2019-03-14T16:07:57.2845584 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Scott T Chiesa 1 Stefano Masi 2 Martin J Shipley 3 Libby Ellins 0000-0001-5164-6416 4 Alan G Fraser 5 Alun D Hughes 6 Riyaz S Patel 7 Ashraf W Khir 8 Julian Halcox 0000-0001-6926-2947 9 Archana Singh-Manoux 10 Mika Kivimaki 11 David S Celermajer 12 John E Deanfield 13 0049207-10042019143624.pdf 49207.pdf 2019-04-10T14:36:24.9470000 Output 477479 application/pdf Version of Record true 2019-04-10T00:00:00.0000000 This is an Open Access article distributed under the terms of the Creative Commons Attribution License. true eng
title Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study
spellingShingle Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study
Libby Ellins
Julian Halcox
title_short Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study
title_full Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study
title_fullStr Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study
title_full_unstemmed Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study
title_sort Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study
author_id_str_mv 553ce2abe05a6396e7dd6eadb6b90a6d
3676f695eeda169d0f8c618adf27c04b
author_id_fullname_str_mv 553ce2abe05a6396e7dd6eadb6b90a6d_***_Libby Ellins
3676f695eeda169d0f8c618adf27c04b_***_Julian Halcox
author Libby Ellins
Julian Halcox
author2 Scott T Chiesa
Stefano Masi
Martin J Shipley
Libby Ellins
Alan G Fraser
Alun D Hughes
Riyaz S Patel
Ashraf W Khir
Julian Halcox
Archana Singh-Manoux
Mika Kivimaki
David S Celermajer
John E Deanfield
format Journal article
container_title European Heart Journal
container_volume 40
container_issue 28
container_start_page 2300
publishDate 2019
institution Swansea University
issn 0195-668X
1522-9645
doi_str_mv 10.1093/eurheartj/ehz189
publisher Oxford University Press (OUP)
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 - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
document_store_str 1
active_str 0
published_date 2019-07-21T04:00:01Z
_version_ 1763753067851808768
score 11.012678