A conceptual framework for characterising lifecourse determinants of multiple long-term condition multimorbidity

Author:

Stannard Sebastian1ORCID,Berrington Ann2,Paranjothy Shantini3,Owen Rhiannon4,Fraser Simon1,Hoyle Rebecca5,Boniface Michael6,Wilkinson Becky7,Akbari Ashley4ORCID,Batchelor Sophia8,Jones William9,Ashworth Mark10,Welch Jack11,Mair Frances S12ORCID,Alwan Nisreen A11314

Affiliation:

1. School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Southampton General Hospital, Southampton, UK

2. Department of Social Statistics and Demography, University of Southampton, Southampton, UK

3. School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK

4. Population Data Science, Faculty of Medicine, Health and Life Science, Medical School, Swansea University, Swansea, UK

5. School of Mathematical Sciences, University of Southampton, Southampton, UK

6. School of Electronics and Computer Science, University of Southampton, Southampton, UK

7. Public Health, Southampton City Council, Southampton, UK

8. The Alan Turing Institute, London, UK

9. Patient and Public Involvement, University Hospital Southampton NHS Foundation Trust, Southampton, UK

10. School of Life Course and Population Sciences, King’s College London, London, UK

11. Public Contributor on MELD-B, Southampton, UK

12. General Practice & Primary Care, School of Health and Wellbeing, University of Glasgow, Glasgow, UK

13. NIHR Southampton Biomedical Research Centre, University of Southampton; University Hospital Southampton NHS Foundation Trust, Southampton, UK

14. NIHR Applied Research Collaboration Wessex, Southampton, UK

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.

Funder

National Institute for Health and Care Research

Publisher

SAGE Publications

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

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