| Title: | Exploring multimorbidity in UK Biobank ? patterns of illness reporting and effects of comorbidity and multimorbidity on health outcomes |
| Lead Institution: | University of Glasgow |
| Principal investigator: | Dr Barbara Nicholl |
Application 14151
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About
Our aim is to determine the extent and patterns of morbidity reporting and treatment use, and to investigate the impact of comorbidity, multimorbidity and polypharmacy on healthcare outcomes. We will also investigate prognostic factors and the specific impact of having chronic pain and/or depression on individuals with chronic illness. Research questions include but are not limited to: - What are the patterns of morbidity reporting? - What are the patterns of polypharmacy reporting among people with co/multimorbidity? - What are health related outcomes of people with co/multimorbidity and do these vary by combination of conditions, e.g. pain and depression? This research will investigate reporting of chronic illness, including heart disease, stroke, arthritis, osteoporosis, and depression, all of which are priorities for UK Biobank; and examine treatment, including polypharmacy, and outcomes for people with multiple conditions, taking into account sociodemographic and other factors. We will examine casual pathways and prognostic factors and this will allow us to gain a better understanding of multimorbidity and to consider potential management and treatment approaches for individuals with multimorbidity. The proposed research therefore aims to promote improved understanding and treatment of a wide range of illnesses. Initial statistical models will utilise assessment centre data to determine patterns of morbidity reporting and relationships with sociodemographic, lifestyle and other factors. We intend to use assay data to determine relationships between chronic illness reporting and biomarkers. Medications will be examined to determine the treatment burden that individuals with multiple conditions experience. Subsequent analysis will build on this initial work and allow investigation of the relationship over time between chronic illness and health-related outcomes using hospitalisation, primary care, and mortality data, taking into account other factors measured at the assessment centre, which may also affect these relationships. We require the full cohort for this research as information on medical conditions was gathered from all participants. This will allow the identification of morbidity groups, including a comparison group (1 or no long-term conditions).7 Returns
| Return ID | App ID | Description | Archive Date |
|---|---|---|---|
| 3688 | 14151 | Assessing Risks of Polypharmacy Involving Medications With Anticholinergic Properties | 29 Jul 2021 |
| 3686 | 14151 | Association between childhood maltreatment and the prevalence and complexity of multimorbidity: A cross-sectional analysis of 157,357 UK Biobank participants | 29 Jul 2021 |
| 2177 | 14151 | Examining patterns of multimorbidity, polypharmacy and risk of adverse drug reactions in chronic obstructive pulmonary disease: a cross-sectional UK Biobank study | 17 Apr 2020 |
| 3687 | 14151 | Frailty and pre-frailty in middle-aged and older adults and its association with multimorbidity and mortality: a prospective analysis of 493 737 UK Biobank participants | 29 Jul 2021 |
| 1622 | 14151 | Multimorbidity and co-morbidity in atrial fibrillation and effects on survival:findings from UK Biobank cohort | 21 May 2019 |
| 2835 | 14151 | Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank cohort | 20 Nov 2020 |
| 2797 | 14151 | Risk factors and mortality associated with multimorbidity in people with stroke or transient ischaemic attack: a study of 8,751 UK Biobank participants | 4 Nov 2020 |
19 Publications
Enabling scientific discoveries that improve human health