Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Papadimitriou, Ameliaa | Dawson, Aprill Z.b; c | Thorgerson, Abigailc | Bhandari, Sanjayb; c | Martinez, Martina | Egede, Leonard E.b; c; *
Affiliations: [a] Department of Medicine, Medical School, Medical College of Wisconsin, Milwaukee, WI, USA | [b] Department of Medicine, Division of General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA | [c] Center for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA
Correspondence: [*] Correspondence to: Leonard E. Egede, MD, MS, Center for Advancing Population Science, Medical College of Wisconsin, 8701 Watertown Plank Rd., Milwaukee, WI 53226, USA. Tel.: +1 414 955 8810; E-mail: [email protected].
Abstract: Background:The prevalence of type 2 diabetes is increasing with the burden disproportionately falling on older adults and racial/ethnic minorities. Older adults with diabetes show greater cognitive decline and there are disparities in cognitive function by race/ethnicity that can be explained by social determinants such as wealth. Objective:To understand whether there is a differential relationship between wealth and cognitive function by race/ethnicity among older U.S. adults with diabetes. Methods:Data on 9,006 adults aged 50+ with diabetes from the Health and Retirement Study (2006–2016) were analyzed. The primary outcome, cognitive function, was a score ranging from range 0–27 categorized as: normal [12–27], mild cognitive impairment (MCI) [7–11], and dementia including Alzheimer’s disease [0–6]. Three modeled outcomes were: 1) normal versus MCI, 2) normal versus dementia, 3) MCI versus dementia. Wealth was log transformed and used as continuous and binary (≥median, <median). Logistic generalized estimating equation models were used to examine the relationship between wealth and cognitive function and models were stratified by race/ethnicity. Models were adjusted for demographics, lifestyle, functional limitations, and comorbidities. Results:In adjusted models, greater wealth was significantly associated with lower odds of MCI and dementia for all groups. Similarly, having wealth less than the sample median was associated with higher odds of MCI and dementia compared to wealth≥sample median. Conclusions:Increased wealth was significantly protective against MCI and dementia for all ethnic groups. Wealth less than the sample median was associated with greater odds of dementia for NHB and NHW.
Keywords: Alzheimer’s disease, cognitive function, dementia, diabetes, mild cognitive impairment, older adults, racial/ethnic disparities, wealth
DOI: 10.3233/JAD-231107
Journal: Journal of Alzheimer's Disease, vol. 98, no. 3, pp. 1145-1155, 2024
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]