In the context of the increasing number of patients with hypertension, exercise intervention is an excellent alternative or adjunctive treatment for hypertension. Traditional Chinese exercises are excellent physical and mental exercise methods. Although some studies have reviewed the effects of Chinese traditional exercise on patients with hypertension, most of the reviews only involved a single category of traditional exercise. Furthermore, few studies have conducted in-depth analysis of the combined intervention methods of traditional Chinese exercise, and there are high heterogeneity. This study evaluates the current clinical evidence of Chinese traditional exercises in the treatment of essential hypertension. A total of 49 randomized controlled trials with 4207 hypertensive patients were selected according to the inclusion criteria by searching all relevant studies from the establishment of six electronic databases until September 10, 2022. Among them, 24 used tai chi and 25 used Qigong, including Yijinjing, Wuqinxi, Liuzijue, Baduanjin, and Guolin Qigong. This study divided four subgroups according to the type of intervention to explore the source of heterogeneity among studies and found that traditional Chinese exercises can assist or even may replace traditional treatments. The results of meta-analysis showed that compared with the use of antihypertensive drugs alone or in health education, the addition of Chinese traditional exercises showed significant effects in regulating the systolic blood pressure and diastolic blood pressure in hypertensive patients. Although the results show that traditional Chinese exercise are effective, the clinical evidence will be affected by the low quality of most randomized controlled trials. More rigorously designed trials are needed in the future to further validate it.

In recent years, people’s living standards are rising, and the demand for health is also rising. National physical exercise has become the current trend. Using personalized recommendation technology to screen appropriate information and assist people in sports training can improve the efficiency of users to obtain relevant information and improve users’ physical quality. Therefore, the collaborative filtering recommendation algorithm is optimized by combining bisection, and the intelligent recommendation model of sports training resources is constructed based on the algorithm. This paper uses the improved algorithm to calculate the similarity between users. Compared with other traditional algorithms, the user algorithm in this paper has higher accuracy and certain reference value. To sum up, the intelligent recommendation model of sports training resources proposed in the research can more accurately recommend suitable sports training resources for users, so as to assist users in correct sports training and improve users’ physical quality, which plays an improvement of the physical quality of the whole people in China.