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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...
,
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
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Copyright © 2023 The Author(s). This is an Open Access article under the CC BY 4.0 license.
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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...
| Published in: | The Lancet Public Health |
|---|---|
| ISSN: | 2468-2667 |
| Published: |
Elsevier BV
2023
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa63756 |
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| 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. |
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| Keywords: |
Wales, public health, multimorbidity cluster |
| College: |
Faculty of Medicine, Health and Life Sciences |
| 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. |
| Issue: |
7 |
| Start Page: |
e535 |
| End Page: |
e545 |