Reevaluating the role of biological aging in dementia: A retrospective cross-sectional global analysis incorporating confounding factors.
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Date
2025
Authors
You, W.
Koo, F.K.
Ge, Y.
Sevastidis, J.
Chang, R.H.C.
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Geriatric Nursing, 2025; 63:643-651
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Wenpeng You, Fung Kuen Koo, Yanfei Ge, Jacob Sevastidis, Rita (Hui Chen) Chang
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Abstract
Background: Biological aging is a key dementia risk factor, but its precise role is debated. This study explores the impact of life expectancy at birth (LEB) on global dementia incidence rates (DIR). Methods: A retrospective cross-sectional analysis was conducted using population-level data from the World Bank and the Institute for Health Metrics and Evaluation (IHME). Pearson’s r and nonparametric correlations assessed associations, while partial correlation analysis and multiple regression models were employed to adjust for confounders, including economic affluence, genetic predisposition (Ibs), total fertility rate, and urbanization. Results: LEB showed a strong initial correlation with DIR, explaining 58.05 % of the variance. However, after adjusting for confounders, the independent contribution of LEB to DIR was reduced to 5.95 %. Total fertility rate emerged as the most significant predictor, with LEB being the second strongest. Economic affluence, Ibs, and urbanization were not statistically significant. Conclusions: This study challenges the view that dementia is solely due to biological aging. While age remains crucial, biological aging accounts for less than 6 % of dementia incidence variance, highlighting the multifaceted nature of dementia risk factors.
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© 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)