Osteoarthritis (OA) is the most common form of arthritis affecting the elderly population.It affects hands, knees and hips as well as the spine. OA is also the most common reason for total hip and total knee replacement in UK.OA increases steadily with age. Based on the
increasing aging population, the prevalence of OA is expected to rise rapidly.Early detection would help reduce NHS cost and improve patient quality of life through early intervention. This research aims to build a risk calculator for hip and knee arthritis by using data including lifestyle/diet, genetic and environmental factors. This research fits UK Biobank?s stated purpose in that it is in public interest.We will build one or more optimised risk prediction models fit for predicting risk at both major sites. We will require data from the full cohort (males and females ? age 45 and over). We will build one or more optimised risk prediction models fit for predicting risk at both major sites. We will require data from the full cohort (age 45 and over). Incident OA cases include any subjects with clinically diagnosed as having hip or knee OA or any subjects who reported they had knee or hip replacement or any subjects who reported having had chronic pain in their knee and/or hip after baseline assessment. OA cases will be identified using hospital inpatient data from medical record linkage and repeat assessment data for self-reported health conditions once available. We will use the full cohort and OA cases will be identified using hospital inpatient data from medical record linkage and repeat assessment data for self-reported health conditions (osteoarthritis) once available.
