Untitled

Abstract

Objectives: It is generally reported that walking has a positive effect on knee joint pain. However, since previous studies have focused on small patient data and simple average comparisons, we proceed with more sophisticated empirical research using public data. Since the knee joint pain itself can be considered very important in terms of preventative medicine, we analyze that use of big data to identify its effect on knee joint pain. Methods: The present study used a logistic regression analysis and analyzed the effect of walking time on knee joint pain in the activities of daily living based on data from the 6 th 2013-2014 Korea National Health and Nutrition Examination Survey. Results: Smoking, Drinking and Sedentary time has no statistically signi cance on knee joint pain. And walking (moderate, high) has been shown to reduce the risk of knee joint pain. Conclusion: The results con rmed that walking time had a positive effect on the prevalence of knee joint pain. However, individuals with moderateintensity walking time and those with high-intensity walking time had different effects on preventing knee joint pain.