Objective: To explore the related factors of college students social network addiction based on problem behavior theory, so as to provide a basis for improving social networking addiction in this population. Methods: From May to June 2023, a method combining convenient sampling and cluster random sampling was used to select 1 768 college students from five universities in Shanghai for a questionnaire survey on social networking addiction, self esteem, loneliness, depressive symptoms, social support, interpersonal needs, sense of distress and frustration; at the same time, the physical exercise, smoking and drinking of college students were investigated. Multivariate Logistic regression analysis was applied to explore the association between the three systems of the problem behavior theory (personality, behavior, and social environment) and social networking addiction among college students. Results: The score on the Social Network Addiction Tendency Scale was (21.08±6.29) among college students, and the detection rate of social networking addiction was 66.29%. After adjusting for gender, family economic status, parental divorce status, and whether being an only child, multivariate Logistic regression analysis showed that in the personality system, higher loneliness ( OR =1.66) and higher depressive symptoms ( OR =2.18) were associated with increased risk of social networking addiction among college students; in the behavior system, alcohol consumption ( OR =1.42) was associated with higher risk of soical networking addiction compared to non drinkers; and in the social environment system, low social support ( OR =1.43) was associated with increased risk of social networking addiction (all P <0.05). Conclusions The rate of social networking addiction among college students is relatively high, and the systems of personality, behavior, and social environment are all related to social network addiction. Providing social support, cultivating healthy lifestyle habits, and increasing interpersonal interactions may help reduce excessive dependence on social networking among college students.

Objective:To understand the social networking using status of medical students, develop the social networking using status scale (SNUSS) and evaluate its reliability and validity.Methods:In March 2018, 665 valid questionnaires were collected via cluster sampling. The scale was retest in 46 subjects after an interval of 2 months. Factor analysis, correlation analysis and t-test were used to calculate the structure validity and content validity of the scale to evaluate the scale validity, and internal consistency reliability, broken half reliability and retest reliability were used to evaluate the scale reliability. Results:The result of exploratory factor analysis showed NSUSS had two subscales: the dimension of maintaining existing social relations and social network use and the dimension of expanding circle of friends and social network use. The result of confirmatory factor analysis showed that the factor load value of each item was greater than 0.500 ( P < 0.05), and the model fitted well ( χ2/ df = 2.873, GFI = 0.970, CFI = 0.971, RMSEA = 0.074). The r value of correlation between SNUSS and MSPSS was 0.295. I-CVIs were all equal to 0.90, and S-CVI was 0.90, the internal consistency reliability was 0.764, the split-half reliability was 0.555, and the retest reliability was 0.526. Conclusion:SNUSS has good reliability and validity for the use of social network among medical college students, and the use of social network is related to perceived social support.

Atherosclerosis (As) is an important pathological basis of cardiovascular and cerebrovascular diseases. The pathogenesis studies of As have been a hot topic in the field of vascular biology research. The inflammation is known as a major participant in the development process of As. And monocyte-macrophage plays a central role in inflam-mation. In recent years, with the deepening research on inflammatory mechanisms, the As macrophage polarization is attracting researchers' attention. Under different environmental inductions, macrophages develop into M1 and M2 phenotypes. M1 macrophages (classical type), which can stimulate the secretion of pro-inflammatory cytokines, is generally considered as pro-inflammatory subtypes and can facilitate the progress of As. Whereas, M2 macrophages (alternative type), which can inhibit pro-inflammatory factor production, function as anti-inflammatory subtypes and likely to inhibit the progression of As. The mechanisms of As, macrophage polarization in As, and opportunities for herbal medicines will be summarized in this review.