People don’t all age at the same rate. Untangling the factors that influence health and disease – such as epigenetics, demographics and behavior – could lead to better care for those who need it most.
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Articles on Multimorbidity
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Ageing is the single biggest risk factor for developing multimorbidity.
Current treatments for multimorbidity involve taking multiple drugs to manage symptoms, which often has adverse health effects.
In poorer parts of the world, such as sub-Saharan Africa, health systems are not designed to care for people with chronic conditions. They are more focused on single, acute diseases.
In addition to the elderly and health workers, those holding front-line jobs are particularly exposed. Infection risk and aggravating co-morbidities could compound social inequalities in time of crisis.
Drug trials should include people with more than one disease.
Modern healthcare specialises, but as the population ages, many patients need more general care.
The increase in cases of non-communicable diseases in developing countries has led to an emerging pattern of high levels of multimorbidity.
Top contributors
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Clinical Senior Research Associate, MRC Epidemiology Unit, University of Cambridge
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Global Health Clinical Research Fellow Imperial College London and Honorary Research Officer, University of Cape Town
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Professor in Primary Health Care, University of Bristol
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Professor of Immune Cell Biology, University of Birmingham
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Professor of Inflammatory Disease, University of Manchester
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Professor of Global Health, Institute for Applied Research, University of Birmingham
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Professor of Musculoskeletal Ageing and Health, University of Birmingham
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Adjunct assistant professor, University of Southern Denmark
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Chercheuse, Institut National d'Études Démographiques (INED)
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Directrice de recherche, Institut National d'Études Démographiques (INED)
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Research Fellow Global Health, University of Birmingham
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Professor, University of Southern Denmark
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Professor of Gerontology, University of Southern California
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Research Associate Professor of Epidemiology, University of Michigan
