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Alzheimer’s disease is a dreaded outcome that affects both men and women in later years of life. While root causes of this form of dementia are not clear, various factors are known that contribute to the risk of development and the reduction in risks based on gender and our choices in life. This paper evaluates the various factors that affect the risks of developing Alzheimer’s disease as we age. The focus of this paper is gender considerations in a mathematical model programmed in Excel. The model was first presented by Gregory [1] and was calibrated on one of the original population data sets with 50 - 50 male and female participants. This model overpredicted the risks for women and underpredicted the risks for men. A solution to this problem was found based on published values of sex hormones for men and women. Based on the expanded current model, two major factors contribute to the gender differences in predictions: gender factor values (10.5 ml·kg-1·min-1 for men and 3.5 ml�

Erin duffinLautenschlageret alUs department of healthHuman services centerSimple gender factorFramingham heart studyGregory alzheimerDisease controlFat treatmentChronic traumatic encephalopathyGender effectsAlzheimers diseaseMathematical modelingUnsaturated fat diets