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A conceptual framework for characterising lifecourse determinants of multiple long-term condition multimorbidity
Journal of Multimorbidity and Comorbidity, Volume: 13, Pages: 1 - 13
Swansea University Authors:
Rhiannon Owen , Ashley Akbari
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© The Author(s) 2023. Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0).
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DOI (Published version): 10.1177/26335565231193951
Abstract
Objective: Social, biological and environmental factors in early-life, defined as the period from preconception until age 18, play a role in shaping the risk of multiple long-term condition multimorbidity. However, there is a need to conceptualise these early-life factors, how they relate to each ot...
Published in: | Journal of Multimorbidity and Comorbidity |
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ISSN: | 2633-5565 2633-5565 |
Published: |
SAGE Publications
2023
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa64502 |
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Abstract: |
Objective: Social, biological and environmental factors in early-life, defined as the period from preconception until age 18, play a role in shaping the risk of multiple long-term condition multimorbidity. However, there is a need to conceptualise these early-life factors, how they relate to each other, and provide conceptual framing for future research on aetiology and modelling prevention scenarios of multimorbidity. We develop a conceptual framework to characterise the population-level domains of early-life determinants of future multimorbidity. Method: This work was conducted as part of the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) study. The conceptualisation of multimorbidity lifecourse determinant domains was shaped by a review of existing research evidence and policy, and co-produced with public involvement via two workshops. Results: Early-life risk factors incorporate personal, social, economic, behavioural and environmental factors, and the key domains discussed in research evidence, policy, and with public contributors included adverse childhood experiences, socioeconomics, the social and physical environment, and education. Policy recommendations more often focused on individual-level factors as opposed to the wider determinants of health discussed within the research evidence. Some domains highlighted through our co-production process with public contributors, such as religion and spirituality, health screening and check-ups, and diet, were not adequately considered within the research evidence or policy. Conclusions: This co-produced conceptualisation can inform research directions using primary and secondary data to investigate the early-life characteristics of population groups at risk of future multimorbidity, as well as policy directions to target public health prevention scenarios of early-onset multimorbidity. |
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Keywords: |
Multimorbidity, Multiple Long-Term Conditions Multimorbidity, MLTC-M, lifecourse determinants, public health |
College: |
Faculty of Medicine, Health and Life Sciences |
Funders: |
This study/project is funded by the National Institute for Health Research (NIHR) under its Programme Artificial Intelligence for Multiple and Long-Term Conditions (NIHR203988). |
Start Page: |
1 |
End Page: |
13 |