Degenerative symptoms of the musculoskeletal system, such as arthritis of the lower extremity joints or the lumbar spine, are becoming an increasing burden for individuals and society. These pathologies are associated with factors such as inactive lifestyles, overloading of passive structures, or insufficient motor control of movements. While numerous studies have been conducted on individual activities of daily living (ADL) like walking, stair climbing, or rising from a seated position, consistent data on physiological movement characteristics and associated threshold values for an increased risk of developing a pathology are lacking. Therefore, the creation of a normative reference database for various ADL tasks and exercises is necessary.
80 healthy participants and 40 movement experts aged between 18 and 65 years will participate in the study at this stage. Their movements, including walking, ramp walking, stair climbing, sit-to-stand, stand-to-sit, lifting a box, the Timed-Up-and-Go test, squats, lunge squats, lunges, single-leg squats, step-ups, step-downs, and single-leg pelvic lifts, will be recorded using three-dimensional motion analysis. In addition, body composition and a 10-day activity monitoring will be evaluated. The collected raw data will be processed and serve as the baseline dataset for a continuously expanding normative database. The data will subsequently be analyzed to identify subgroups regarding movement characteristics, establish threshold values for the physiological range of parameters, or recognize associations between calculated parameters.
This database will contribute to deepening the knowledge of physiological movement characteristics of ADL movements and comparing these with functional deficits in patient populations with pathologies of the lower extremities or the lumbar spine. Moreover, relevant calculated variables will be made anonymously available to the scientific community.