Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data

Owen, Rhiannon; Lyons, Jane; Akbari, Ashley; Guthrie, Bruce; Agrawal, Utkarsh; Alexander, Daniel C; Azcoaga-Lorenzo, Amaya; Brookes, Anthony J; Denaxas, Spiros; Dezateux, Carol; Fagbamigbe, Adeniyi Francis; Harper, Gill; W, Paul D; Özyiğit, Eda Bilici; Richardson, Sylvia; Staniszewska, Sophie; McCowan, Colin; Lyons, Ronan; Abrams, Keith R

doi:10.1016/s2468-2667(23)00098-1

Journal article 581 views 85 downloads

Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using link...

Rhiannon Owen

, Jane Lyons, Ashley Akbari

, Bruce Guthrie, Utkarsh Agrawal, Daniel C Alexander, Amaya Azcoaga-Lorenzo, Anthony J Brookes, Spiros Denaxas, Carol Dezateux, Adeniyi Francis Fagbamigbe, Gill Harper, Paul D W Kirk, Eda Bilici Özyiğit, Sylvia Richardson, Sophie Staniszewska, Colin McCowan, Ronan Lyons

, Keith R Abrams

The Lancet Public Health, Volume: 8, Issue: 7, Pages: e535 - e545

Swansea University Authors: Rhiannon Owen , Jane Lyons, Ashley Akbari , Ronan Lyons

Check full text

DOI (Published version): 10.1016/s2468-2667(23)00098-1

Abstract

To inform targeted public health strategies, it is crucial to understand how coexisting diseases develop over time and their associated impacts on patient outcomes and health-care resources. This study aimed to examine how psychosis, diabetes, and congestive heart failure, in a cluster of physical–m...

Full description

Published in:	The Lancet Public Health
ISSN:	2468-2667
Published:	Elsevier BV 2023
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa63756

first_indexed	2023-06-30T22:22:05Z
last_indexed	2024-11-25T14:12:52Z
id	cronfa63756
recordtype	SURis
fullrecord	<?xml version="1.0"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><datestamp>2024-10-18T17:08:46.9885641</datestamp><bib-version>v2</bib-version><id>63756</id><entry>2023-06-30</entry><title>Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data</title><swanseaauthors><author><sid>0d30aa00eef6528f763a1e1589f703ec</sid><ORCID>0000-0001-5977-376X</ORCID><firstname>Rhiannon</firstname><surname>Owen</surname><name>Rhiannon Owen</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>1b74fa5125a88451c52c45bcf20e0b47</sid><ORCID/><firstname>Jane</firstname><surname>Lyons</surname><name>Jane Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author><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>83efcf2a9dfcf8b55586999d3d152ac6</sid><ORCID>0000-0001-5225-000X</ORCID><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-06-30</date><deptcode>MEDS</deptcode><abstract>To inform targeted public health strategies, it is crucial to understand how coexisting diseases develop over time and their associated impacts on patient outcomes and health-care resources. This study aimed to examine how psychosis, diabetes, and congestive heart failure, in a cluster of physical–mental health multimorbidity, develop and coexist over time, and to assess the associated effects of different temporal sequences of these diseases on life expectancy in Wales.</abstract><type>Journal Article</type><journal>The Lancet Public Health</journal><volume>8</volume><journalNumber>7</journalNumber><paginationStart>e535</paginationStart><paginationEnd>e545</paginationEnd><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2468-2667</issnPrint><issnElectronic/><keywords>Wales, public health, multimorbidity cluster</keywords><publishedDay>1</publishedDay><publishedMonth>7</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-07-01</publishedDate><doi>10.1016/s2468-2667(23)00098-1</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm>External research funder(s) paid the OA fee (includes OA grants disbursed by the Library)</apcterm><funders>This work was supported by Health Data Research UK (HDRUK) Measuring and Understanding Multimorbidity using Routine Data in the UK (MUrMuRUK; award numbers HDR-9006 and CFC0110). HDRUK is funded by the UK Medical Research Council (MRC), Engineering and Physical Sciences Research Council, Economic and Social Research Council, NIHR (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome Trust. This work also was co-funded by the MRC and NIHR (grant number MR/S027750/1). The work was supported by the Administrative Data Research (ADR) Wales programme of work, part of the Economic and Social Research Council (part of UK Research and Innovation) funded ADR UK (grant ES/S007393/1). RKO is supported by a Springboard award (SBF006\1122) funded by the Academy of Medical Sciences, Wellcome Trust, Government Department of Business, Energy and Industrial Strategy, British Heart Foundation, and Diabetes UK. SS is part funded by the NIHR Applied Research Collaboration West Midlands, the NIHR Health Protection Research Unit (HPRU) in Gastrointestinal Infections, and the NIHR HPRU in Genomics and Enabling Data.</funders><projectreference/><lastEdited>2024-10-18T17:08:46.9885641</lastEdited><Created>2023-06-30T09:20:50.6311942</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>Rhiannon</firstname><surname>Owen</surname><orcid>0000-0001-5977-376X</orcid><order>1</order></author><author><firstname>Jane</firstname><surname>Lyons</surname><orcid/><order>2</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>3</order></author><author><firstname>Bruce</firstname><surname>Guthrie</surname><order>4</order></author><author><firstname>Utkarsh</firstname><surname>Agrawal</surname><order>5</order></author><author><firstname>Daniel C</firstname><surname>Alexander</surname><order>6</order></author><author><firstname>Amaya</firstname><surname>Azcoaga-Lorenzo</surname><order>7</order></author><author><firstname>Anthony J</firstname><surname>Brookes</surname><order>8</order></author><author><firstname>Spiros</firstname><surname>Denaxas</surname><order>9</order></author><author><firstname>Carol</firstname><surname>Dezateux</surname><order>10</order></author><author><firstname>Adeniyi Francis</firstname><surname>Fagbamigbe</surname><order>11</order></author><author><firstname>Gill</firstname><surname>Harper</surname><order>12</order></author><author><firstname>Paul D W</firstname><surname>Kirk</surname><order>13</order></author><author><firstname>Eda Bilici</firstname><surname>Özyiğit</surname><order>14</order></author><author><firstname>Sylvia</firstname><surname>Richardson</surname><order>15</order></author><author><firstname>Sophie</firstname><surname>Staniszewska</surname><order>16</order></author><author><firstname>Colin</firstname><surname>McCowan</surname><order>17</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><orcid>0000-0001-5225-000X</orcid><order>18</order></author><author><firstname>Keith R</firstname><surname>Abrams</surname><order>19</order></author></authors><documents><document><filename>63756__28093__d8fd7b1ae8e5495f9c122655eddcb467.pdf</filename><originalFilename>63756.VOR.pdf</originalFilename><uploaded>2023-07-12T14:06:24.8974864</uploaded><type>Output</type><contentLength>1527178</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Copyright © 2023 The Author(s). This is an Open Access article under the CC BY 4.0 license.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs><OutputDur><Id>197</Id><DataControllerName>SAIL Databank</DataControllerName><IsDataAvailableOnline>false</IsDataAvailableOnline><DataNotAvailableOnlineReasonId xsi:nil="true"/><DurUrl>saildatabank.com</DurUrl><IsDurRestrictions>false</IsDurRestrictions><DurRestrictionReasonId xsi:nil="true"/><DurEmbargoDate xsi:nil="true"/></OutputDur></OutputDurs></rfc1807>
spelling	2024-10-18T17:08:46.9885641 v2 63756 2023-06-30 Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data 0d30aa00eef6528f763a1e1589f703ec 0000-0001-5977-376X Rhiannon Owen Rhiannon Owen true false 1b74fa5125a88451c52c45bcf20e0b47 Jane Lyons Jane Lyons true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 83efcf2a9dfcf8b55586999d3d152ac6 0000-0001-5225-000X Ronan Lyons Ronan Lyons true false 2023-06-30 MEDS To inform targeted public health strategies, it is crucial to understand how coexisting diseases develop over time and their associated impacts on patient outcomes and health-care resources. This study aimed to examine how psychosis, diabetes, and congestive heart failure, in a cluster of physical–mental health multimorbidity, develop and coexist over time, and to assess the associated effects of different temporal sequences of these diseases on life expectancy in Wales. Journal Article The Lancet Public Health 8 7 e535 e545 Elsevier BV 2468-2667 Wales, public health, multimorbidity cluster 1 7 2023 2023-07-01 10.1016/s2468-2667(23)00098-1 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) This work was supported by Health Data Research UK (HDRUK) Measuring and Understanding Multimorbidity using Routine Data in the UK (MUrMuRUK; award numbers HDR-9006 and CFC0110). HDRUK is funded by the UK Medical Research Council (MRC), Engineering and Physical Sciences Research Council, Economic and Social Research Council, NIHR (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation, and Wellcome Trust. This work also was co-funded by the MRC and NIHR (grant number MR/S027750/1). The work was supported by the Administrative Data Research (ADR) Wales programme of work, part of the Economic and Social Research Council (part of UK Research and Innovation) funded ADR UK (grant ES/S007393/1). RKO is supported by a Springboard award (SBF006\1122) funded by the Academy of Medical Sciences, Wellcome Trust, Government Department of Business, Energy and Industrial Strategy, British Heart Foundation, and Diabetes UK. SS is part funded by the NIHR Applied Research Collaboration West Midlands, the NIHR Health Protection Research Unit (HPRU) in Gastrointestinal Infections, and the NIHR HPRU in Genomics and Enabling Data. 2024-10-18T17:08:46.9885641 2023-06-30T09:20:50.6311942 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Rhiannon Owen 0000-0001-5977-376X 1 Jane Lyons 2 Ashley Akbari 0000-0003-0814-0801 3 Bruce Guthrie 4 Utkarsh Agrawal 5 Daniel C Alexander 6 Amaya Azcoaga-Lorenzo 7 Anthony J Brookes 8 Spiros Denaxas 9 Carol Dezateux 10 Adeniyi Francis Fagbamigbe 11 Gill Harper 12 Paul D W Kirk 13 Eda Bilici Özyiğit 14 Sylvia Richardson 15 Sophie Staniszewska 16 Colin McCowan 17 Ronan Lyons 0000-0001-5225-000X 18 Keith R Abrams 19 63756__28093__d8fd7b1ae8e5495f9c122655eddcb467.pdf 63756.VOR.pdf 2023-07-12T14:06:24.8974864 Output 1527178 application/pdf Version of Record true Copyright © 2023 The Author(s). This is an Open Access article under the CC BY 4.0 license. true eng http://creativecommons.org/licenses/by/4.0/ 197 SAIL Databank false saildatabank.com false
title	Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data
spellingShingle	Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data Rhiannon Owen Jane Lyons Ashley Akbari Ronan Lyons
title_short	Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data
title_full	Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data
title_fullStr	Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data
title_full_unstemmed	Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data
title_sort	Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using linked data
author_id_str_mv	0d30aa00eef6528f763a1e1589f703ec 1b74fa5125a88451c52c45bcf20e0b47 aa1b025ec0243f708bb5eb0a93d6fb52 83efcf2a9dfcf8b55586999d3d152ac6
author_id_fullname_str_mv	0d30aa00eef6528f763a1e1589f703ec_*_Rhiannon Owen 1b74fa5125a88451c52c45bcf20e0b47__Jane Lyons aa1b025ec0243f708bb5eb0a93d6fb52__Ashley Akbari 83efcf2a9dfcf8b55586999d3d152ac6_*_Ronan Lyons
author	Rhiannon Owen Jane Lyons Ashley Akbari Ronan Lyons
author2	Rhiannon Owen Jane Lyons Ashley Akbari Bruce Guthrie Utkarsh Agrawal Daniel C Alexander Amaya Azcoaga-Lorenzo Anthony J Brookes Spiros Denaxas Carol Dezateux Adeniyi Francis Fagbamigbe Gill Harper Paul D W Kirk Eda Bilici Özyiğit Sylvia Richardson Sophie Staniszewska Colin McCowan Ronan Lyons Keith R Abrams
format	Journal article
container_title	The Lancet Public Health
container_volume	8
container_issue	7
container_start_page	e535
publishDate	2023
institution	Swansea University
issn	2468-2667
doi_str_mv	10.1016/s2468-2667(23)00098-1
publisher	Elsevier BV
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
description	To inform targeted public health strategies, it is crucial to understand how coexisting diseases develop over time and their associated impacts on patient outcomes and health-care resources. This study aimed to examine how psychosis, diabetes, and congestive heart failure, in a cluster of physical–mental health multimorbidity, develop and coexist over time, and to assess the associated effects of different temporal sequences of these diseases on life expectancy in Wales.
published_date	2023-07-01T14:25:54Z
_version_	1821325293412941824
score	11.047609

Effect on life expectancy of temporal sequence in a multimorbidity cluster of psychosis, diabetes, and congestive heart failure among 1·7 million individuals in Wales with 20-year follow-up: a retrospective cohort study using link...

Similar Items