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Dr. Stephen Aichele, a quantitative psychologist at CSU, describes the relationship between depression and cognitive decline, and how data science methods can be used to determine predictors of cognitive changes. We briefly discuss the effects of air pollution and lead exposure on cognitive development, and Aichele shares what his research reveals about three key predictors of depression risk following middle age: social isolation, poor health and mobility issues.
By Colorado State University's Columbine Health Systems Center for Healthy Aging5
77 ratings
Dr. Stephen Aichele, a quantitative psychologist at CSU, describes the relationship between depression and cognitive decline, and how data science methods can be used to determine predictors of cognitive changes. We briefly discuss the effects of air pollution and lead exposure on cognitive development, and Aichele shares what his research reveals about three key predictors of depression risk following middle age: social isolation, poor health and mobility issues.