Population-based spatial level analysis on Alzheimer’s disease mortality and potential risk factors

Liheng Yang; Xiaowei Huang; Qirui Zhao; Limeng Liu

doi:10.1117/12.2669559

24 March 2023 Population-based spatial level analysis on Alzheimer’s disease mortality and potential risk factors

Liheng Yang, Xiaowei Huang, Qirui Zhao, Limeng Liu

Proceedings Volume 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022); 126115M (2023) https://doi.org/10.1117/12.2669559
Event: International Conference on Biological Engineering and Medical Science (ICBioMed2022), 2022, Oxford, United Kingdom

Abstract

By conducting multivariable linear regression and geographically weighted regression (GWR) on Alzheimer's Disease mortality with possible risk factors (cholesterol, hypertension, diabetes, obesity, excessive alcohol usage, and demography), the possible trajectory, distribution, and relationships between AD mortality and risk factors along with demographics (sex, race, age, and median household income) across 50 states in the U.S. can be demonstrated. In this study, we found that median household income (β = 0, P < 0.001), age group above 65 (β = -127, P = 0.001), cholesterol check rate (β = 62, P < 0.001) to be highly correlated with AD mortality on a national level; in addition, we coupled multivariable linear regression with GWR to demonstrate potential linkages and the pattern revealed on a regional level.

Citation Download Citation

Liheng Yang, Xiaowei Huang, Qirui Zhao, and Limeng Liu "Population-based spatial level analysis on Alzheimer’s disease mortality and potential risk factors", Proc. SPIE 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022), 126115M (24 March 2023); https://doi.org/10.1117/12.2669559

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