Journal article 1069 views 151 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 ,
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
European Heart Journal, Volume: 40, Issue: 28, Pages: 2300 - 2309
Swansea University Authors: Libby Ellins , Julian Halcox
-
PDF | Version of Record
This is an Open Access article distributed under the terms of the Creative Commons Attribution License.
Download (469.45KB)
DOI (Published version): 10.1093/eurheartj/ehz189
Abstract
Carotid artery wave intensity in mid- to late-life predicts cognitive decline: the Whitehall II study
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 |
11.03559 |