Objective:To explore the mediating effect of loneliness on the relationship between interpersonal adaptation and mobile phone addiction in college students.Methods:Totally 368 college students (176 males and 192 females )were surveyed with the College Student Adaptability (CSAI),University of Califomiaat Los Angels (UCLA)and Mobile Phone Addiction Index (MPAI).Then AMOS18.0 was used to establish structural equation modeling (SEM)among interpersonal adaptation,loneliness and mobile phone addiction,and test the mediating effect of loneliness on the relationship between interpersonal adaptation and mobile phone addiction in college students.Results:The MPAI scores were significantly higher in the low interpersonal adaptation group (the score of CSAI less than 21 )than in the high interpersonal adaptation group (the score of CSAI higher than 32)(P<0.001).The scores of interpersonal adaptation were negatively correlated with scores of loneliness and mobilephone addiction (r =-0.71,-0.25,P﹤0.01).The scores of loneliness were positively correlated with scores ofmobile phone addiction (r =0.32,P ﹤ 0.01).College students'interpersonal adaptation did not have significantnegative predictability for mobile phone addiction (β=﹣0.08,P =0.32),but it had significant negative predictabilityfor loneliness (β=﹣0.71,P <0.001).Loneliness had significant positive predictability for mobile phone addiction(β=0.29,P <0.001).Conclusion:The results show loneliness completely plays a mediating effect betweeninterpersonal adaptation and mobile phone addiction.

To explore the correlation between the changes of the intestinal flora of newly treated pulmonary tuberculosis patients and the immune indicators of the body, and to provide a reference for the prevention and treatment of pulmonary tuberculosis. A single-center and case-control study was adopted. From October 2020 to April 2021, 43 patients with newly diagnosed tuberculosis in the Department of Tuberculosis, Affiliated Changsha Central Hospital,University of South China were selected as the control group. 43 cases of newly treated pulmonary tuberculosis (PTB), 43 healthy control (HC) during the same period, collected fresh feces and whole blood of subjects, and used Illumina Hiseq high-throughput sequencing technology to analyze 16S of all microorganisms in feces The V4 region of rRNA was amplified and sequenced, and the structure of the intestinal flora was analyzed by QIIME software. Use flow cytometry to determine the subject′s immune indicators (CD3 +, CD4 +, CD8 +, CD4 +CD25 +CD127 -Treg, CD14 +CD16 +, CD14 +CD16 -), and analyze the changes in intestinal flora and immune function in newly treated pulmonary tuberculosis patients Inherent connection. The χ2 test, t test, and Wilcox rank sum test were used to analyze the differences in age, gender, α diversity, and relative abundance of the two groups of people. Compared with the HC group, the alpha diversity of the intestinal flora in the PTB group decreased (shannon index: t=3.906, P=0.000 2; simpson index: Z=553, P=0.004 7; chao1 index: t=5.395, P=0.000 0). β diversity analysis showed that there were significant differences in the structure of the intestinal flora between the two groups ( P=0.000). Species difference analysis showed that at the phylum level, the relative abundance of Firmicutes in the PTB group was significantly lower than that in the HC group ( Z=486.0, P=0.000 5). At the genus level, there are 15 different bacterial genera between the two groups. In the PTB group, bifidobacterium, enterococcus, lactobacillus, anaerostipes, the relative abundance of the above 5 genera of veillonella is higher than that of the HC group ( P<0.05); Butyricimonas, clostridium, and broutella (blautia), coprococcus, dorea, lachnospira, roseburia, faecalibacterium, ruminococcus, the relative abundance of 10 bacterial genera including dialister was lower than that of the HC group ( P<0.05). Comparison of immune indexes between groups showed that CD14 +CD16 +monocytes (%) in the PTB group were higher than those in the HC group ( t=2.456, P=0.001 6<0.05), while CD14 +CD16 -monocytes (%) were lower than HC ( t=-4.368, P=0.000<0.05), while the differences in CD3 +, CD4 +, CD8 +, CD4 +/CD8 +and Treg (CD4 +CD25 +CD127 -) were not statistically significant ( P>0.05). Spearman correlation analysis showed that Firmicutes in the PTB group was negatively correlated with CD4 +/CD8 +, CD14 +CD16 +( r=-0.218, P=0.048; r=-0.245, P=0.025), and positively correlated with CD14 +CD16 -Correlation ( r=0.250, P=0.022); At the genus level, Faecalis is positively correlated with CD4 +/CD8 +and CD4 +( r=0.250, P=0.023; r=0.258, P=0.019); Rosella and CD3 +, CD8 +and CD14 +CD16 -are positively correlated ( r=0.27, P=0.024; r=0.219, P=0.046; r=0.027, P=0.039), and negatively correlated with CD14 +CD16 +( r=-0.280, P= 0.01). Changes in the structure of the intestinal flora of newly treated pulmonary tuberculosis patients may be one of the influencing factors of the immune function of the body. Targeted optimization of the structure of the intestinal flora and improvement of the body′s immunity may be used as an effective auxiliary treatment for pulmonary tuberculosis.

To explore the correlation between the changes of the intestinal flora of newly treated pulmonary tuberculosis patients and the immune indicators of the body, and to provide a reference for the prevention and treatment of pulmonary tuberculosis. A single-center and case-control study was adopted. From October 2020 to April 2021, 43 patients with newly diagnosed tuberculosis in the Department of Tuberculosis, Affiliated Changsha Central Hospital,University of South China were selected as the control group. 43 cases of newly treated pulmonary tuberculosis (PTB), 43 healthy control (HC) during the same period, collected fresh feces and whole blood of subjects, and used Illumina Hiseq high-throughput sequencing technology to analyze 16S of all microorganisms in feces The V4 region of rRNA was amplified and sequenced, and the structure of the intestinal flora was analyzed by QIIME software. Use flow cytometry to determine the subject′s immune indicators (CD3 +, CD4 +, CD8 +, CD4 +CD25 +CD127 -Treg, CD14 +CD16 +, CD14 +CD16 -), and analyze the changes in intestinal flora and immune function in newly treated pulmonary tuberculosis patients Inherent connection. The χ2 test, t test, and Wilcox rank sum test were used to analyze the differences in age, gender, α diversity, and relative abundance of the two groups of people. Compared with the HC group, the alpha diversity of the intestinal flora in the PTB group decreased (shannon index: t=3.906, P=0.000 2; simpson index: Z=553, P=0.004 7; chao1 index: t=5.395, P=0.000 0). β diversity analysis showed that there were significant differences in the structure of the intestinal flora between the two groups ( P=0.000). Species difference analysis showed that at the phylum level, the relative abundance of Firmicutes in the PTB group was significantly lower than that in the HC group ( Z=486.0, P=0.000 5). At the genus level, there are 15 different bacterial genera between the two groups. In the PTB group, bifidobacterium, enterococcus, lactobacillus, anaerostipes, the relative abundance of the above 5 genera of veillonella is higher than that of the HC group ( P<0.05); Butyricimonas, clostridium, and broutella (blautia), coprococcus, dorea, lachnospira, roseburia, faecalibacterium, ruminococcus, the relative abundance of 10 bacterial genera including dialister was lower than that of the HC group ( P<0.05). Comparison of immune indexes between groups showed that CD14 +CD16 +monocytes (%) in the PTB group were higher than those in the HC group ( t=2.456, P=0.001 6<0.05), while CD14 +CD16 -monocytes (%) were lower than HC ( t=-4.368, P=0.000<0.05), while the differences in CD3 +, CD4 +, CD8 +, CD4 +/CD8 +and Treg (CD4 +CD25 +CD127 -) were not statistically significant ( P>0.05). Spearman correlation analysis showed that Firmicutes in the PTB group was negatively correlated with CD4 +/CD8 +, CD14 +CD16 +( r=-0.218, P=0.048; r=-0.245, P=0.025), and positively correlated with CD14 +CD16 -Correlation ( r=0.250, P=0.022); At the genus level, Faecalis is positively correlated with CD4 +/CD8 +and CD4 +( r=0.250, P=0.023; r=0.258, P=0.019); Rosella and CD3 +, CD8 +and CD14 +CD16 -are positively correlated ( r=0.27, P=0.024; r=0.219, P=0.046; r=0.027, P=0.039), and negatively correlated with CD14 +CD16 +( r=-0.280, P= 0.01). Changes in the structure of the intestinal flora of newly treated pulmonary tuberculosis patients may be one of the influencing factors of the immune function of the body. Targeted optimization of the structure of the intestinal flora and improvement of the body′s immunity may be used as an effective auxiliary treatment for pulmonary tuberculosis.