Physical function is a known predictor of QOL in advanced prostate cancer patients and key measure of treatment tolerability. While treatment with Androgen Deprivation Therapy (ADT) improves survival, it is associated with significant toxicities that lead to physical function (PF) decline. The average age of incident prostate cancer is 66 years, and in this older group of men, chronic comorbid conditions often co-occur with diagnosis, further adding to the risk for PF decline. With over 2.9 million prostate cancer survivors in the US, there is an increasing demand for adequate symptom monitoring and PF assessment throughout cancer care. However, there are currently no validated methods to systematically evaluate and predict PF decline. Thus, the overarching objective of this proposal is to determine whether the use of wearable technology to monitor objective daily activity combined with routine symptom reporting can predict PF decline. To accomplish this, we propose a mixed-methods approach that will provide quantitative information to help identify PC survivors at higher risk for PF decline as well as a qualitative aim gain a deeper understanding of the perceived relationships that PC survivors have with their physical activity levels and treatment symptoms.
