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Abstract
The aim of this study was to summarise the therapeutic effects of exercise interventions for common chronic diseases and to analyse the scope of application and problems of various exercise treatment protocols, with a view to guiding clinical practice and providing references for subsequent research. To this end, this paper describes how to extract feature parameters for gait analysis based on a digital human motion model. In-depth descriptions of the extraction algorithms for spatiotemporal features, centre-of-mass movement features, joint mobility, and joint contact forces are presented, and the reliability of the knee contact force extraction algorithm is analysed in particular. To analyse the effect of exercise on the treatment of chronic diseases, 50 cases of elderly chronic disease patients collected from the community were selected and subjected to healthy exercise for 1 year, before and after the healthy exercise. After the exercise, the elderly chronic disease patients' blood pressure, lipid, and blood glucose attainment rates, chronic diseases, and knowledge of nonpharmacological treatments were significantly higher, with statistically significant differences compared to the preexercise period (P < 0.05).
Highlights
China’s health data show that there are more than 300 million patients with chronic diseases (NCD) in China, including about 260 million with hypertension, 100 million with diabetes, 170 million with hyperlipidemia, 110 million with fatty liver, and more than 100 million with overweight or obesity [1]
Chronic diseases have become the main cause of death among Chinese residents. e death rate due to chronic diseases is 85%, and the disease burden caused by them accounts for 70% of the total disease burden [3]
Johnston et al [4] studied the impact of cardiovascular disease on economic growth and found that, for every l% increase in mortality, economic growth in high-income countries fell by 0.1%
Summary
China’s health data show that there are more than 300 million patients with chronic diseases (NCD) in China, including about 260 million with hypertension, 100 million with diabetes, 170 million with hyperlipidemia, 110 million with fatty liver, and more than 100 million with overweight or obesity [1]. E linkage between sports and medicine will be the most active and cost-effective strategy to prevent and control chronic diseases and maintain the health of the entire population [2]. To achieve better results in the prevention and treatment of chronic diseases through exercise, medical exercise professionals need to develop scientific exercise prescriptions that prescribe specific exercise. It is recommended to gradually increase the intensity and duration of activity over time and to avoid strenuous physical activity [8]. To this end, this paper describes how to extract feature parameters for gait analysis based on a digital human motion model. To analyse the effect of exercise on the treatment of chronic diseases, healthy exercise in the prevention and treatment of chronic diseases can significantly improve patients’ clinical indicators and enhance the treatment effect of patients’ chronic diseases
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