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Chronic health outcomes impact the quality of life of affected individuals and their families and also lead to huge health care costs. Most of the chronic health outcomes can be attributed to few unhealthy behaviors, however, the extent to which these behaviors can explain the variation in the common outcomes is not known. This paper explores the relationship between: (i) unhealthy behaviors using principal components analysis; and (ii) unhealthy behaviors and chronic health outcomes using multiple linear regression. The 500 Cities data, released by the Center for Disease Control, forms the basis of this investigation. PCA suggests that the unhealthy behaviors can be projected along two dimensions, each punctuated by the common age of occurrence. The results of linear regression are consistent with expectations for some outcomes, but reveal unexpected trends for the others.

Quantifying the Relationship Between Health Outcomes and Unhealthy Habits