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.
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