A decision analytic framework for the costs of sugar-sweetened beverage consumption

decision analysis;decision trees;medical decision making;diabetes;sugar-sweetened beverages

Hupman, Andrea ; Abbas ; Ali E.

关键词: decision analysis;    decision trees;    medical decision making;    diabetes;    sugar-sweetened beverages;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/29602/Hupman_Andrea.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

This thesis provides a decision analytic framework for calculating the medical costs associated with the decision to consume sugar-sweetened beverages.The model uses (i) records of mortality data, (ii) previously identified lifetime risks of diabetes, (iii) data on relative risks associated with sugar-sweetened beverage consumption, and (iv) the reported costs of diabetes medical treatment to determine the increase in expected costs that result from the consumption decision.Additionally the model can be used to analyze any decision that increases one’s relative risk of diabetes.The results indicate that sugar-sweetened beverage consumption is considerably more costly for younger individuals than for older individuals.Moreover, the frequency of beverage consumption also has a significant impact on expected medical costs.These results have wide ranging implications for such areas as health insurance, national health spending, and public health awareness campaigns.