| Application: | 14146, Multimorbidity prevalence, patterns and associated factors: Analysis of the UK Biobank |
| Title: | Patterns of Multimorbidity in Middle-Aged and Older Adults: An Analysis of the UK Biobank Data |
| Size: | 20564 B |
| Cost Tier: | 1 |
| Archived: | 19 Nov 2020 |
| Stability: | Complete |
| Personal: | No individual-level data |
Return 2833
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Notes
This study identified patterns of multimorbidity and disease clusters in older adults from the UK. We utilised a novel way of identifying these patterns and variations by age, gender and ethnicity and demonstrated the applicability of data mining techniques to medical data where its use has generally been very limited. We found certain conditions to be at the epicentre of disease clusters and focusing on better management and secondary prevention of conditions like diabetes and hypertension may help prevent other conditions in the clusters.Application 14146
Multimorbidity prevalence, patterns and associated factors: Analysis of the UK Biobank
We aim to : ? investigate the prevalence of multimorbidity (presence of more than two chronic conditions) in a large representative sample of older adults from the UK ? identify patterns of multimorbidity in the distribution of chronic diseases and age and gender specific differences in these patterns ? assess the association between lifestyle risk factors (physical activity, smoking, alcohol use, Body Mass Index, fruit and vegetable intake) and multimorbidity The UK Biobank is aimed at supporting research intended to improve prevention, diagnosis and treatment of illness and promotion of health. This project aligns very closely with the purpose of Biobank and addresses a very important issue in the current health care settings in the UK. A better understanding of multimorbidity and its associated factors will not only feed into the prevention and care guidelines for multimorbidity but also aid in defragmentation of care for these patients. We will quantify the extent to which multimorbidity affects older adults in the population and common clusters of chronic conditions. We will also then assess the variations in these clusters by age and sex and the association between multimorbidity and lifestyle factors. Full cohort
| Lead investigator: | Dr Francesco Zaccardi |
| Lead institution: | University of Leicester |
1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 2834 | Patterns of Multimorbidity in Middle-Aged and Older Adults: An Analysis of the UK Biobank Data | Dawit T. Zemedikun (+4) | 2018 | Mayo Clinic Proceedings |
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