Development of Predictive Methods for the Risk of Wrist Disorders based on the Work and Activity Pattern of Present Times

Abstract

Work pattern changes along with the changing socio-technical system. An example of this is the present situation. The increasing
influence of digital technology and Industry 4.0 is rapidly changing the work pattern and other activities. Most of the jobs presently
have typical characteristics of sedentary nature and extensive use of hand and wrist. Due to the current work pattern, hand-wrist
musculoskeletal disorder occurrence is on the rise. In this context, it is important to understand the interaction of different risk factors
associated with wrist disorder. It is also required to formulate predictive models and methods in this regard. To fulfil the research
objectives, a three-phased study was conducted where the dynamics of wrist disorders with lifestyle and design were initially studied.
Further combined risk factors were extracted from data gathered using a questionnaire by PCA. Finally, the model was established,
tested in various contexts, and discussed.