Related Experiment Video
Updated: Jul 17, 2025

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
A conceptual framework for characterising lifecourse determinants of multiple long-term condition multimorbidity
Sebastian Stannard1, Ann Berrington2, Shantini Paranjothy3
1School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, Southampton General Hospital, Southampton, UK.
Early-life factors influence long-term multimorbidity risk. A new framework, co-produced with the public, identifies key domains like adverse childhood experiences and socioeconomic factors for future research and prevention strategies.
Area of Science:
- Public Health
- Epidemiology
- Lifecourse Research
Background:
- Early-life experiences (preconception to age 18) significantly impact the risk of developing multiple long-term conditions (multimorbidity).
- A comprehensive understanding of these early-life determinants and their interrelationships is crucial for effective multimorbidity research and prevention.
- Existing research and policy often overlook crucial factors highlighted by public involvement.
Purpose of the Study:
- To develop a conceptual framework for characterizing population-level domains of early-life determinants of future multimorbidity.
- To provide a conceptual framing for future research on multimorbidity etiology and prevention.
- To integrate public perspectives into understanding early-life influences on long-term health.
Main Methods:
- The study was conducted as part of the Multidisciplinary Ecosystem to study Lifecourse Determinants and Prevention of Early-onset Burdensome Multimorbidity (MELD-B) initiative.
- A review of existing research evidence and policy informed the conceptualization of determinant domains.
- Co-production with public involvement through two workshops shaped the framework.
Main Results:
- Key early-life risk factor domains identified include adverse childhood experiences, socioeconomic status, social and physical environment, and education.
- Policy recommendations predominantly focus on individual-level factors, contrasting with broader determinants highlighted in research.
- Public contributors emphasized domains such as religion, spirituality, health screening, and diet, which were underrepresented in existing evidence and policy.
Conclusions:
- The co-produced conceptual framework can guide future research using diverse data sources to identify at-risk populations.
- This framework supports the development of targeted public health policies for preventing early-onset multimorbidity.
- Integrating public insights enriches the understanding of early-life determinants for effective health interventions.
More Related Videos
Related Concept Videos
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Dimensions of Health and Illness
Classification of Illness
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Concepts of Health and Illness
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...

