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Predicting health behaviors with an experimental measure of risk preference   总被引:1,自引:0,他引:1  
We conduct a large-scale economics experiment paired with a survey to examine the association between individual risk preference and health-related behaviors among adults aged 18-87 years. Risk preference is measured by the lottery choice experiment designed by Holt and Laury [Holt, C.A., Laury, S.K., 2002. Risk aversion and incentive effects. The American Economic Review 92(5), 1644-1655]. Controlling for subject demographic and economic characteristics, we find that risk aversion is negatively and significantly associated with cigarette smoking, heavy drinking, being overweight or obese, and seat belt non-use. In additional specifications, we find that risk aversion is negatively and significantly associated with the likelihood a subject engaged in any of five risky behaviors and the number of risky behaviors reported.  相似文献
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Objective: The objective was to assess the impact of different levels of risk of disease on a woman's preferences for health states. Women were provided with health scenarios incorporating different levels of lifetime risks for breast cancer, hip fracture, and coronary heart disease (CHD). In this way, we were able to determine the incremental effect of changes in risks of each disease on preference values.
Methods and Data: Preference values and utility scores were obtained for six health scenarios by both the feeling thermometer (FT) and standard gamble (SG) methods. Scenarios presented the different lifetime risks of CHD, breast cancer, and hip fracture associated with and not associated with long-term use of hormone replacement therapy (HRT) and raloxifene. Risks of breast cancer were based on perceived risks and population risks. The sample population consisted of 40 healthy female volunteers aged between 45 and 65 years randomly selected from the Ottawa-Carleton district.
Results: Based on their perceived risk of breast cancer, the women had higher value scores for the raloxifene risk profile than for both HRT ( p = .002) and no therapy ( p = .003), with similar results for analyses based on population risks and from utility scores. Regression analysis showed that the risk of breast cancer ( p <.001) was the only disease risk that was statistically significantly associated with women's preferences.
Conclusions: Women had significant preferences over the different risk profiles, primarily due to the incremental effect on changes in values for the risk of breast cancer. Therefore, studies evaluating therapies for osteoporosis should consider patient preferences for living with different risk profiles.  相似文献
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