The application of smart medical big data in the field of medical services is still in its infancy. Most of the existing health care big data services cannot be fully developed in accordance with the way doctors think and the management of hospitals, resulting in big data technology not being able to give full play to its due effect. Therefore, how to realize the deep integration of health and medical big data with the existing medical service system, how to integrate massive data to realize efficient data mining, analysis and utilization are problems to be solved urgently. In order to adapt to a large number of high-intensity professional training, we must provide athletes with nutritional supplements in addition to normal diet to promote their physical and athletic ability recovery. This article mainly studies the relationship between sports nutrition and health and athletic ability. The experiment divided male rats into three groups (n=20), namely control group, exercise group, exercise + nutrition group. Sports intervention is a 6-week Torredemir training. The teams took samples 24 hours after the last exercise. Next, LDH was measured by colorimetric method, protein content was measured by Coomasibrialand method, and SOD activity was measured by cyclophosphatase method. Finally, perform statistical processing on the measurement data. Experimental data shows that exercise MDA reaches its peak 1 hour after exercise, and then gradually decreases. The exercise + nutrition group is lower than the exercise group, and there is a significant difference 6-24 hours after exercise (P<0.05). Experimental results show that nutritional supplements can greatly reduce the MDA content of the liver and skeletal muscle of mice after exercise, and increase the activity of SOD, GSH-PX and the content of GSH.Through this, we can help athletes improve their athletic ability based on the results obtained. Under the condition of ensuring their physical health, we can also improve their athletic ability to a certain extent.

Suzana Ahmad. Monitoring Sports Nutrition and Health and Sports Ability Based on Intelligent Medical Care Data. International Journal of Sports Technology (2022), Vol. 3, Issue 3: 37-52. https://doi.org/10.38007/IJST.2022.030303.

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