Risk and risk perception of XXXX in the US: a population-based study.

@entity1 @entity626 @entity571 @entity28 @entity3331
OBJECTIVE: We sought to investigate risk perception among an online cohort of younger US adults compared with calculated risk estimates. DESIGN: We recruited a population-based cohort 25-44 years of age with no history of @entity626 ( @entity571 ) using Amazon's Mechanical Turk, an online marketplace used extensively for behavioral research. After collecting demographic and risk factor information, we asked @entity1 to estimate their 10-year and lifetime risk of knee @entity571 . We compared perceived risk with risk derived from the @entity571 risk calculator ( @entity571 Risk C), an online tool built on the basis of the validated @entity571 Policy Model. RESULTS: 375 @entity1 completed the study. 21% reported having 3+ risk factors for @entity571 , 25% reported two risk factors, and 32% reported one risk factor. Using the @entity571 Risk C, we calculated a mean lifetime @entity571 risk of 25% and 10-year risk of 4% for this sample. @entity1 overestimated their lifetime and 10-year @entity571 risk at 48% and 26%, respectively. We found that @entity28 , female sex, family history of @entity571 , history of @entity3331 , and occupational exposure were all significantly associated with greater perceived lifetime risk of @entity571 . CONCLUSIONS: Risk factors are prevalent in this relatively young cohort. @entity1 consistently overestimated their lifetime risk and showed even greater overestimation of their 10-year risk, suggesting a lack of knowledge about the timing of @entity571 onset. These data offer insights for awareness and risk interventions among younger @entity1 at risk for knee @entity571 .
