Design of AI System for National Fitness Sports Competition Action Based on Association Rules Algorithm.

In information system construction, online data migration is a very important link. At present, in different fields, people provide protection for online data migration through the way of project management to ensure the speed and efficiency of online migration. However, some problems may occur in the process of online data migration. In the development of contemporary sports, competitive sports, as the high-end stage of sports development, are constantly pursued by ordinary sports enthusiasts. Therefore, in the national fitness activities, how to combine the national fitness and competitive sports data to provide a more professional storage platform is a focus of research but also a problem to be solved in the process of online data migration. Because the data mining ID3 algorithm only supports querying and retrieving RowKey indexes, it does not support non-RowKey column indexing. Therefore, if you want to query non-RowKey indexes, the data mining ID3 algorithm will search the form in the overall scan, but the performance of this method is low. In order to improve the query speed of non-RowKey columns, this paper designs a secondary index function based on HBase. The sports competition action system can retrieve data from the secondary index of the query state, to avoid scanning the whole world and improve the search speed. In this paper, ID3 algorithm is used to combine national fitness and competitive sports data, which provides a guarantee for the migration of competitive sports data in the national fitness system.

[Mediating role of IL-10 in the association between health-risk behaviors and depressive symptoms of college students].

OBJECTIVE: To examine the relationship between health-risk behaviors and depressive symptoms among college students, and explore the mediating role of plasma IL-10 level in the relationship between the two. METHODS: Freshman students in two universities in Hefei City, Anhui Province and Shangrao City, Jiangxi Province were recruited between April and May 2019, and follow-up investigation was conducted 6 months later. Health risk behaviors were measured based on the Young Risk Behavior Surveillance System(YRBSS) questionnaire, and depressive symptoms was evaluated by using the Depression Anxiety Stress Scale(DASS-21) among college students at baseline and 6 months follow-up survey. Plasma interleukin-10(IL-10) level was measured at baseline. Univariate analysis was used to compare the correlation between health risk behaviors and depressive symptoms among college students. Binary Logistic regression analyzed the relationship between health risk behaviors, IL-10 and depressive symptoms. The mediation model was used to explore the mediating role of IL-10 levels in the association between health risk behaviors and depressive symptoms. RESULTS: At baseline, boys reported a higher rate of depressive symptoms than that of girls(χ~2=6.33, P=0.01); higher rates of depressive symptoms were observed in students who were from a family with a low perceived economic status(χ~2=7.31, P=0.03)or in poor health(χ~2=6.71, P=0.04). Participants who reported low physical activity(χ~2=19.09, P<0.01), smoking(χ~2=7.03, P<0.01), and poor sleep quality(χ~2=68.78, P<0.01)at baseline were more likely to experience depressive symptoms. Multiple health-risk behaviors at baseline were positively correlated with depressive symptoms among college students. After adjusting gender, self-reported family economy and self-rated health, the regression model showed that plasma IL-10 at baseline was negatively associated with the prevalence of depressive symptoms(OR=0.36, 95% CI 0.18-0.72) and the incidence of depressive symptoms after 6 months(OR=0.20, 95% CI 0.08-0.49). Structural equation model showed that health-risk behaviors was negatively correlated to IL-10 level(ß=-0.13, SE=0.04), IL-10 negatively predicted depressive symptoms at follow-up(ß=-0.09, SE=0.04), and IL-10 play a mediating role between health risk behavior and depressive symptoms. CONCLUSION: Health risk behaviors are positively correlated with depressive symptoms among college students. Plasma IL-10 level at baseline was negatively associated with the incidence of depressive symptoms after 6 months, and IL-10 level at baseline has a partial mediating effect between baseline health risk behavior clustering and depressive symptoms at follow-up.

Moderating effect of sleep quality on the relationship between problematic mobile phone use and anxiety of college students / 中国学校卫生

Objective@#To describe the prevalence of problematic mobile phone use and anxiety in college students, and explore the mediating effect of sleep quality on the relationship between problematic mobile phone use and anxiety, and to provide reference for physical and mental health promotion of college students.@*Methods@#One medical college and a comprephensive college were selected in Hefei city of Anhui Province and Shangrao City of Jiangxi Province, respectively, and a cross-sectional survey was conducted. A total of 1 135 valid questionnaires were collected. The self-rating questionnaires regarding basic information of college students, use the Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use(SQAPMPU) and the Self-Rating Questionnaire for Depression-Anxiety-Stress for Adolescent Problematic Mobile Phone Use(DASS-21) was used to evaluate problematic mobile phone use and anxiety, respectively. The Pittsburgh Sleep Quality Index(PSQI) was used to evaluate sleep quality.@*Conclusion@#The detection rates of college students with problematic mobile phone use and poor sleep quality were 24.6% and 13.3%, respectively. The detection rates of college students anxiety grouped by severity were 5.1%, 23.9%. Multiple Logistic regression analysis showed a positive linear correlation between problematic mobile phone use and anxiety[OR values(95%CI) were 1.86(1.01-3.44), 4.34(3.14-5.99), P<0.01]. The results of process showed that sleep quality played a moderating role between problematic mobile phone use and anxiety(R2=0.37, F=220.52, P<0.01). Interaction term s β=0.09(P<0.05).@*Conclusion@#The prevalence of problematic mobile phone use is high in college students, and problematic mobile phone use is positively related to anxiety. Good sleep quality can alleviate the relationship between mobile phone dependence and anxiety of college students.