Load Monitoring of Cross-Country Skiing Athletes:A Study Based on Grey Relational Analysis
OBJECTIVE:This study aims to provide reference points for the scientific training and optimized functional monitoring of cross-country skiing athletes.METHODS:The study employed literature research method,expert interview,testing,mathematical statistics,and grey relational analysis to monitor the load and conduct relational analysis on 8 cross-country skiing athletes.RESULTS:During the specific strengthening period,the HB value exhibited fluctuating changes,with a significant decrease in the third and sixth weeks for female athletes(P＜0.01,P＜0.05),and a significant increase in the fourth week for both male and female athletes(P＜0.05,P＜0.01).The BUN value did not exceed8.4 mmol/L for male and female athletes during the specific strengthening period.The T and C values showed minimal changes,with a significant increase in the C value only in the seventh week for male athletes(P＜0.05),and significant decreases in the C value in the third and fifth weeks for female athletes(P＜0.01,P＜0.05).During the specific strengthening period,the grey relational degree of the HB value was highest for male athletes(0.987 1),and for female athletes,the HB value had the highest relational degree(0.859 4).CONCLUSION:Attention should be focused on the changes in the HB index during the specific strengthening period for cross-country skiing athletes.Monitoring athletes'functional indicators during this period can effectively assist training and enable athletes to achieve optimal physical condition.
万方数据
维普
