Insights on Disparities in Dementia From the UK Biobank Study

10-11-2023

“The present study is among few to examine racial/ethnic disparities in dementia risk and their related pathways [...]. It is the first to do so in a UK population.” 

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BUFFALO, NY- October 11, 2023 – A new research paper was published in Aging (listed by MEDLINE/PubMed as "Aging (Albany NY)" and "Aging-US" by Web of Science) Volume 15, Issue 18, entitled, “Pathways explaining racial/ethnic and socio-economic disparities in dementia incidence: the UK Biobank study.”

Pathways explaining racial/ethnic disparities in dementia risk are under-evaluated. In their new study, researchers May A. Beydoun, Hind A. Beydoun, Marie T. Fanelli-Kuczmarski, Jordan Weiss, Michael F. Georgescu, Osorio Meirelles, Donald M. Lyall, Michele K. Evans, and Alan B. Zonderman from the National Institute on Aging, Fort Belvoir Community Hospital, Stanford University, and the University of Glasgow examined those disparities and their related pathways among UK Biobank study respondents (50–74 y, N = 323,483; 3.6% non-White minorities) using a series of Cox proportional hazards and generalized structural equations models (GSEM).

“The present study examines pathways that might explain racial, ethnic, and socio-economic disparities in AD or all-cause dementia in a large cohort study, the UK Biobank. Our study used several methodologies, including structural equation modeling coupled with survival analysis techniques to examine complex mediating effects between race, ethnicity, socioeconomic status, and dementia or AD [Alzheimer’s disease] risk in a sex-specific manner focusing on lifestyle, biological and cognitive pathways. It is also an attempt at replicating a previous study conducted among US older adults [24].”

Results: After ≤15 years, 5,491 all-cause dementia cases were diagnosed. Racial minority status (RACE_ETHN, Non-White vs. White) increased dementia risk by 24% (HR = 1.24, 95% CI: 1.07–1.45, P = 0.005), an association attenuated by socio-economic status (SES), (HR = 1.12, 95% CI: 0.96–1.31). Total race-dementia effect was mediated through both SES and Life’s Essential 8 lifestyle sub-score (LE8LIFESTYLE), combining diet, smoking, physical activity, and sleep factors. SES was inversely related to dementia risk (HR = 0.69, 95% CI: 0.67, 0.72, P < 0.001). Pathways explaining excess dementia risk among racial minorities included ‘RACE_ETHN(−) → SES(−) → DEMENTIA’, ‘RACE_ETHN(−) → SES(−) → Poor cognitive performance, COGN(+) → DEMENTIA’ and ‘RACE_ETHN(−) → SES(+) → LE8LIFESTYLE(−) → DEMENTIA’.

“Pending future interventions, lifestyle factors including diet, smoking, physical activity, and sleep are crucial for reducing racial and socio-economic disparities in dementia.”

Read the full paper: DOI: https://doi.org/10.18632/aging.205058 

Corresponding Author: May A. Beydoun

Corresponding Email: baydounm@mail.nih.gov 

Keywords: dementia, Alzheimer’s disease, health disparities, socio-economic status, structural equations, modeling

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About Aging-US:

Aging publishes research papers in all fields of aging research including but not limited, aging from yeast to mammals, cellular senescence, age-related diseases such as cancer and Alzheimer’s diseases and their prevention and treatment, anti-aging strategies and drug development and especially the role of signal transduction pathways such as mTOR in aging and potential approaches to modulate these signaling pathways to extend lifespan. The journal aims to promote treatment of age-related diseases by slowing down aging, validation of anti-aging drugs by treating age-related diseases, prevention of cancer by inhibiting aging. Cancer and COVID-19 are age-related diseases.

Aging is indexed by PubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed CentralWeb of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

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