No Cover Image

Conference Paper/Proceeding/Abstract 703 views 137 downloads

Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales

Leon May, Caryn Cox, Ashley Akbari Orcid Logo, Jiao Song Orcid Logo

International Journal of Population Data Science, Volume: 3, Issue: 4

Swansea University Authors: Ashley Akbari Orcid Logo, Jiao Song Orcid Logo

  • 44366.pdf

    PDF | Version of Record

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    Download (229.29KB)
Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Banff, Canada IPDLN 2018 conference 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa44366
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2018-09-18T18:56:58Z
last_indexed 2018-10-15T19:19:14Z
id cronfa44366
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2018-10-15T16:15:41.5083641</datestamp><bib-version>v2</bib-version><id>44366</id><entry>2018-09-18</entry><title>Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales</title><swanseaauthors><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>00048c7531209d3238534e0b319de731</sid><ORCID>0000-0002-4976-156X</ORCID><firstname>Jiao</firstname><surname>Song</surname><name>Jiao Song</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-09-18</date><deptcode>HDAT</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>International Journal of Population Data Science</journal><volume>3</volume><journalNumber>4</journalNumber><publisher>IPDLN 2018 conference</publisher><placeOfPublication>Banff, Canada</placeOfPublication><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>31</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-08-31</publishedDate><doi>10.23889/ijpds.v3i4.789</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-10-15T16:15:41.5083641</lastEdited><Created>2018-09-18T17:12:12.2871168</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Leon</firstname><surname>May</surname><order>1</order></author><author><firstname>Caryn</firstname><surname>Cox</surname><order>2</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>3</order></author><author><firstname>Jiao</firstname><surname>Song</surname><orcid>0000-0002-4976-156X</orcid><order>4</order></author></authors><documents><document><filename>0044366-15102018161438.pdf</filename><originalFilename>44366.pdf</originalFilename><uploaded>2018-10-15T16:14:38.3000000</uploaded><type>Output</type><contentLength>205764</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-10-15T00:00:00.0000000</embargoDate><documentNotes>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2018-10-15T16:15:41.5083641 v2 44366 2018-09-18 Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 00048c7531209d3238534e0b319de731 0000-0002-4976-156X Jiao Song Jiao Song true false 2018-09-18 HDAT Conference Paper/Proceeding/Abstract International Journal of Population Data Science 3 4 IPDLN 2018 conference Banff, Canada 2399-4908 31 8 2018 2018-08-31 10.23889/ijpds.v3i4.789 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2018-10-15T16:15:41.5083641 2018-09-18T17:12:12.2871168 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Leon May 1 Caryn Cox 2 Ashley Akbari 0000-0003-0814-0801 3 Jiao Song 0000-0002-4976-156X 4 0044366-15102018161438.pdf 44366.pdf 2018-10-15T16:14:38.3000000 Output 205764 application/pdf Version of Record true 2018-10-15T00:00:00.0000000 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. true eng
title Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales
spellingShingle Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales
Ashley Akbari
Jiao Song
title_short Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales
title_full Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales
title_fullStr Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales
title_full_unstemmed Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales
title_sort Assessing lifestyle risk factors and inequalities in health outcomes in most deprived communities in Wales
author_id_str_mv aa1b025ec0243f708bb5eb0a93d6fb52
00048c7531209d3238534e0b319de731
author_id_fullname_str_mv aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
00048c7531209d3238534e0b319de731_***_Jiao Song
author Ashley Akbari
Jiao Song
author2 Leon May
Caryn Cox
Ashley Akbari
Jiao Song
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 3
container_issue 4
publishDate 2018
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v3i4.789
publisher IPDLN 2018 conference
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 2018-08-31T03:55:34Z
_version_ 1763752787593658368
score 11.013371