Association of Multimorbidity, Disease Clusters, and Modification by Genetic Factors With Risk of Dementia
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- Catherine M. Calvin
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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- Megan C. Conroy
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
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- Sarah F. Moore
- College of Medicine and Health, University of Exeter, Exeter, United Kingdom
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- Elżbieta Kuźma
- Albertinen-Haus Centre for Geriatrics and Gerontology, University of Hamburg, Hamburg, Germany
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- Thomas J. Littlejohns
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
Description
<jats:sec id="ab-zoi220920-4"><jats:title>Importance</jats:title><jats:p>Individual conditions have been identified as risk factors for dementia; however, it is important to consider the role of multimorbidity, as conditions often co-occur.</jats:p></jats:sec><jats:sec id="ab-zoi220920-5"><jats:title>Objective</jats:title><jats:p>To investigate whether multimorbidity is associated with incident dementia and whether associations vary by different clusters of disease and genetic risk for dementia.</jats:p></jats:sec><jats:sec id="ab-zoi220920-6"><jats:title>Design, Setting, and Participants</jats:title><jats:p>This population-based prospective cohort study used data from the UK Biobank cohort, with baseline data collected between 2006 and 2010 and with up to 15 years of follow-up. Participants included women and men without dementia and aged at least 60 years at baseline. Medical conditions were captured as part of nurse-led verbal interviews conducted at baseline assessment centers. Data were analyzed from October 2020 to July 2022.</jats:p></jats:sec><jats:sec id="ab-zoi220920-7"><jats:title>Exposures</jats:title><jats:p>The presence of at least 2 long-term conditions from a preselected list of 42 conditions was used to define multimorbidity. High genetic risk for dementia was based on presence of 1 or 2 apolipoprotein (APOE) ε4 alleles.</jats:p></jats:sec><jats:sec id="ab-zoi220920-8"><jats:title>Main Outcomes and Measures</jats:title><jats:p>The main outcome, incident dementia, was derived from hospital inpatient and death registry records. Associations of multimorbidity with dementia were assessed with Cox proportional hazards models.</jats:p></jats:sec><jats:sec id="ab-zoi220920-9"><jats:title>Results</jats:title><jats:p>A total of 206 960 participants (mean [SD] age, 64.1 [2.9] years, 108 982 [52.7%] women) were included in the final sample, of whom 89 201 participants (43.1%) had multimorbidity. Over a mean (SD) of 11.8 (2.2) years of follow-up, 6182 participants (3.0%) developed dementia. The incidence rate was 1.87 (95% CI, 1.80-1.94) per 1000 person-years for those without multimorbidity and 3.41 (95% CI, 3.30-3.53) per 1000 person-years for those with multimorbidity. In Cox proportional hazards models adjusted for age, sex, ethnicity, education, socioeconomic status, and APOE-ε4 carrier status, multimorbidity was associated with an increased risk of incident dementia (hazard ratio [HR], 1.63 [95% CI, 1.55-1.71]). The highest dementia risk was observed for the hypertension, diabetes, and coronary heart disease cluster (HR, 2.20 [95% CI, 1.98-2.46]) and pain, osteoporosis, and dyspepsia cluster (HR, 2.00 [95% CI, 1.68-2.37]) in women and in the diabetes and hypertension cluster (HR, 2.24 [95% CI, 1.97-2.55]) and coronary heart disease, hypertension, and stroke cluster (HR, 1.94 [95% CI, 1.71-2.20]) in men, compared with no multimorbidity. The associations between multimorbidity and dementia were greater in those with a lower genetic risk of dementia (HR, 1.96 [95% CI, 1.81-2.11]) than in those with a higher genetic risk of dementia (HR, 1.39 [95% CI, 1.30-1.49]). Similar findings were observed when stratifying diseases clusters by genetic risk for dementia.</jats:p></jats:sec><jats:sec id="ab-zoi220920-10"><jats:title>Conclusions and Relevance</jats:title><jats:p>These findings suggest that multimorbidity was associated with an increased risk of dementia. The associations varied by clusters of disease and genetic risk for dementia. These findings could help with the identification of individuals at high risk of dementia as well as the development of targeted interventions to reduce or delay dementia incidence.</jats:p></jats:sec>
Journal
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- JAMA Network Open
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JAMA Network Open 5 (9), e2232124-, 2022-09-20
American Medical Association (AMA)
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Details 詳細情報について
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- CRID
- 1360580236992802176
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- ISSN
- 25743805
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- Data Source
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- Crossref