Correlation Analysis between Sports and Antiaging Based on Medical Big Data

Abstract

With the aging of the population in China and even in the world becoming more and more serious, China has become the country with the largest proportion of the elderly population, and a series of social problems such as health and medical care brought about by aging are being actively responded by policies. Aging has also become a natural law that human beings cannot break free from. Although exercise cannot reverse the aging process, it can weaken the adverse effects caused by aging. Having good physical quality, keeping a happy mood, comfortable living environment, and friendly social relations are the secret recipe for prolonging life and resisting cell aging. On the contrary, if physical and mental exhaustion, various chronic diseases, negative life events, bad living environment, and social relations will seriously affect human life and quality of life. Sports promote the metabolism of the whole body. Exercise can stabilize blood sugar, avoid cardiovascular diseases, and even get a good mood. At the cellular level, exercise facilitates the transmission and absorption of nutrients, thus making tissues healthier to cope with the stress of daily life. According to the statistics of loving sports and not loving sports through medical big data, the physical fitness and cell health of the elderly who love exercise every day are better than those who do not love sports. Sports are controlled by the central nervous system, and there is a correlation between changes in motor ability and cognitive impairment. Aging is accompanied by the deterioration of skeletal muscle quality and strength, which is mainly due to the rapid degradation and slow synthesis of protein in skeletal muscle. Therefore, exercise is one of the most effective ways to delay the aging of muscles and bones. According to the great potential value of medical big data, this paper analyzes and explains the correlation between sports and antiaging.