Objective:To explore the chain mediating effect of anxiety and flow experience on perceived stress and mobile phone addiction in nursing college students.Methods:In December 2021, a cross-sectional design survey was conducted on 4 179 freshmen and sophomores in a nursing college in Heilongjiang Province. The Chinese perceived stress scale, generalized anxiety disorder-7, flow state scale, and mobile phone addiction tendency scale were selected separately to assess perceived stress, anxiety symptoms, flow experience and mobile phone addiction. SPSS 26.0 software was used for descriptive analysis, independent sample t-test, Spearman correlation analysis, and AMOS 24.0 software was used for mediating effect test. Results:(1) Among the 3 050 nursing students, there were 714(23.41%) students who were addicted to mobile phones. (2) Spearman correlation analysis indicated that perceived stress(27.31±9.56) was positively correlated with anxiety(7.00(1.00, 10.00), r=0.441, P<0.05), flow experience((12.00±3.40), r=0.517, P<0.05), and mobile phone addiction((42.42±13.05), r=0.476, P<0.05).Anxiety was positively correlated with flow experience ( r=0.430, P<0.01) and mobile phone addiction ( r=0.538, P<0.01).Flow experience was positively correlated with mobile phone addiction ( r=0.490, P<0.01). (3) Anxiety and flow experience played seperate mediating and chain mediating roles between perceived stress and mobile phone addiction, accounting for 26.06%(0.165/0.633), 23.54%(0.149/0.633) and 3.48%(0.022/0.633) of the total effect. Conclusion:Perceived stress not only directly affects the mobile phone addiction of nursing students, but also indirectly affects mobile phone addiction through the independent and chain mediating effects of anxiety and flow experience.

Objective:To explore the impact of parenting style on social anxiety among college students, and examine the mediating effect of core self-evaluation.Methods:From November 2022 to January 2023, a total of 1 126 college students in Harbin were taken as research subjects.Interaction anxiousness scale(IAS), short-egna minnen betraffende upfostran-Chinese(s-EMBU-C) and core self-evaluations scale(CSES) were used for analysis. Data were analyzed using SPSS 26.0 software for correlation analysis and analysis of variance.AMOS 27.0 software was used for mediation effect test.Results:Social anxiety (42.31±8.23) was negatively correlated with positive parenting style (5.44±1.45) ( r=-0.072, P<0.05) and core self-evaluation (32.12±6.01) ( r=-0.350, P<0.01), while positively correlated with negative parenting style (7.40±1.74)( r=0.302, P<0.01). Core self-evaluation was positively correlated with positive parenting style ( r=0.362, P<0.01) and negatively correlated with negative parenting style ( r=-0.346, P<0.01).Parent parenting styles had a significant mean direct effect on social anxiety of college students ( βpositive=0.098, βnegtive=0.222).Mediation analyses indicated that core self-evaluation played a masking role between positive parenting styles and social anxiety, with an absolute value of 90.82% for the ratio of indirect(-0.089) to direct effects(0.098).Core self-evaluation had partial mediating effect on negative parenting styles, with direct effect and indirect effect accounting for 73.03% and 26.97% of the total effect, respectively. Conclusion:Parenting style can either directly affect college students' social anxiety or indirectly through the mediating effect of core self-evaluations, with core self-evaluations playing a masking role in the positive parenting styles pathway.

Objective:To test the reliability and validity of the general procrastination scale (GPS) in the application of middle school students.Methods:The Chinese version of GPS, the irrational procrastination scale(IPS), and the Maslach burnout inventory(MBI) were utilized to survey 10 825 middle school students in Harbin City through stratified random sampling, and 4 498 students were retested after 4 weeks. Statistical analysis was performed using SPSS 27.0 and Mplus 8.0.Results:The entries were well differentiated.Exploratory and confirmatory factor analysis indicated that GPS was composed of two factors, including active avoidance and lack of planning.The model fit was good (CFI=0.914, TLI=0.901, RMSEA=0.069, SRMR=0.072). GPS was positively correlated with the total scores of IPS and MBI ( r=0.753, 0.677, both P<0.001). The Cronbach's α coefficient of GPS was 0.864, the folded half reliability was 0.870, and the retest reliability after 4 weeks was 0.756. Conclusion:The GPS has good reliability and validity among middle school students, which provides a standard for measuring the procrastination level of middle school students and carrying out related research.

Major depressive disorder (MDD) has become an increasingly serious public health issue, characterized by high incidence and high disability rates. It often coexists with other mental health problems and physical diseases, with a significant negative impact on patients' quality of life. In clinical practice, MDD is considered a heterogeneous disease. The complexity of the pathological mechanisms and the variability in treatment responses lead to a lack of clear therapeutic targets, which complicates the treatment process. In recent years, with advancements in neuroscience, the crucial role of microglia in the pathogenesis of MDD has been revealed. As the main immune cells in the brain, microglia are not only involved in the regulation of neuroinflammation but also play important roles in neurogenesis and neuronal regulation in MDD. This article mainly discusses the role of microglia in the pathophysiological mechanisms of MDD, aiming to provide a theoretical basis for microglia as a potential target for the treatment of MDD.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Objective:To explore the impact of negative perfectionism on academic procrastination, as well as the mediating role of anxiety and the moderating role of negative cognitive emotion regulation strategies.Methods:In December 2022, a cross-sectional survey was conducted on 4 178 students from a medical college in Heilongjiang Province. The Zi negative perfectionism questionnaire, procrastination assessment scale-student, generalized anxiety disorder-7, and cognitive emotion regulation questionnaire were used to conduct the questionnaire survey, and 4 004 valid questionnaires were recovered. SPSS 26.0 statistical software was used for common method deviation test, descriptive statistics and correlation analysis, PROCESS macro program was used for mediation and moderation effect analysis.Results:(1) The scores of nursing students' negative perfectionism, anxiety, negative cognitive emotion regulation strategy, and academic procrastination were (120.48±23.40), (12.75±5.36), (44.82±11.20), and (42.95±14.30), respectively. (2) Negative perfectionism was positively correlated with anxiety ( r=0.311, P<0.01) and academic procrastination ( r=0.113, P<0.01). Academic procrastination was positively correlated with anxiety ( r=0.190, P<0.01) and negative cognitive emotion regulation strategies ( r=0.260, P<0.01). (3) Anxiety played a partially mediating role between negative perfectionism and academic procrastination, with direct effect and mediating effect accounting for 49.11% (0.055/0.112) and 50.89% (0.057/0.112) of the total effect, respectively. (4) The effect of negative perfectionism on anxiety was moderated by negative cognitive emotions, and the predictive effect of negative perfectionism on anxiety was stronger in nursing college students with high negative cognitive emotion ( β=0.231, P<0.001). Conclusion:Among nursing college students, negative perfectionism can predict academic procrastination through anxiety, and cognitive emotion regulation strategies moderate the predictive effect of negative perfectionism on anxiety.

Objective:To investigate the regulatory role of defferentially expressed LOC107987438 in the pathogenesis of depressive disorder and provide a theoretical basis for its clinical application in depressive disorder.Methods:Differential expression of LOC107987438 was verified by quantitative real-time polymerase chain reaction(qRT-PCR)in peripheral blood monocular cells(PBMCs)of 60 patients with depressive disorder and 60 health controls. In addition, its diagnostic value was assessed by receiver operating characteristic(ROC)curves. Based on the ceRNA mechanism of lncRNA, the miRDB database was applied to predict the target miRNAs of LOC107987438, and the miRNAs with target score ≥ 80 among them were screened out.The screened miRNAs were then used to predict their potential target mRNAs through four databases which were TargetScan 8.0, miRTarBase, mirDIP and miRPathDB. Moreover, the predicted target mRNAs were annotated for gene ontology(GO)function annotation and tokoyo encyclopedia of genes and genomes(KEGG) pathway enrichment analysis via ClusterProfiler 4.0.5 package of R 4.1.1. Finally, a protein-protein interaction network was constructed using the STRING 11.5 platform to retrieve the interacting genes.Results:The qRT-PCR results showed that normalized expression of LOC107987438 in PBMCs of patients with depressive disorder was higher than that in health controls(depressive disorder: 2.084±1.357, health controls: 1.000±0.660, P<0.001). The ROC curve results showed that the area under curves(AUC)of LOC107987438 was 0.759(95% CI: 0.675-0.842, P<0.05), indicating its high potential diagnostic value. Bioinformatics analysis showed that hsa-miR-4670-3p, hsa-miR-619-3p, hsa-miR-6721-5p and hsa-miR-297 were the miRNAs with high bindings to LOC107987438. The results of KEGG signaling pathway enrichment revealed that hypoxia-inducible factor 1(HIF-1)signaling pathway, phosphatidylinositol 3-kinase-AKT(PI3K-Akt) signaling pathway and erythroblastic oncogene B(ErbB) signaling pathway were closely associated with depressive disorder. Among the top ten key genes screened by the protein-protein interaction network, kirsten rats arcomaviral oncogene homolog(KRAS), androgen receptor(AR), cyclic-AMP response binding protein1(CREB1), insulin-like growth factor 1(IGF1), cyclin-dependent kinase inhibitor 1B(CDKN1B) and calcium/calmodulin-dependent protein kinase type Ⅱ alpha(CAMK2A)were strongly associated with depressive disorder. Conclusion:The establishment of ceRNA regulatory network of LOC107987438 provides a theoretical basis for exploring the pathophysiology of depressive disorders.

Objective:To explore the chain mediating effect of future orientation and academic engagement between perceived teacher support and academic procrastination in high school students.Methods:From December 2021 to February 2022, a survey was conducted on 550 high school students by the perceived teacher support questionnaire, the adolescent future orientation scale, the academic engagement scale, and the general procrastination scale-for student populations (GPS). Data were entered by EpiData 3.1 software, and SPSS 26.0 software was used to process and analyze the data by one-way ANOVA, Pearson correlation analysis and Bootstrap method test.Results:The scores of perceived teacher support, future orientation, academic engagement and academic procrastination were (3.77±0.80), (3.22±0.48), (68.11±18.08) and (52.32±11.78) respectively.The results of correlation analysis showed that academic procrastination was negatively correlated with perceived teacher support, future orientation and academic engagement ( r=-0.32, -0.38, -0.49, all P<0.01), while perceived teacher support was positively correlated with future orientation and academic engagement ( r=0.40, 0.43, both P<0.01). Future orientation was positively correlated with academic engagement ( r=0.56, P<0.01). The mediating effect analysis showed that perceived teacher support had a significant direct effect on academic procrastination (effect value: -0.10, 95% CI =-0.19--0.02), accounting for 32.26% of the total effect.The mediating effect between perceived teacher support and academic procrastination was found between future orientation and academic engagement (effect value: -0.05, 95% CI =-0.09- -0.02; effect values: -0.09, 95% CI=-0.15--0.05), accounting for 16.13% and 29.03% of the total effect respectively.Future orientation and academic engagement had a chain mediating effect between perceived teacher support and academic procrastination (effect value: -0.07, 95% CI=-0.10--0.04), accounting for 22.58% of the total effect. Conclusion:Perceived teacher support can influence academic procrastination, not only through the direct path, but also through the indirect path of future orientation and academic engagement, as well as chain mediating path between these two variables.

Objective:To explore the relationship between mobile phone addiction and perceived stress, negative emotion, social support and psychological capital in college students, especially to clarify the internal mechanism of these variables.Methods:A total of 836 college students were investigated with mobile phone addiction index scale, positive psychological capital questionnaire, stress perception scale, positive and negative emotion scale and perceived social support scale.SPSS 22.0 software was used for correlation analysis and SPSS-PROCESS was used to analyze the mediating effect and moderating effect.Results:(1)The scores of psychological capital and perceived stress were(123.38±17.96)and(38.76±6.39)respectively, and the scores of negative emotion, social support and mobile phone addiction were(22.46±6.45), (63.36±12.40)and(39.31±10.01)respectively.Psychological capital was negatively correlated with perceived stress, negative emotion and mobile phone addiction( r=-0.66, -0.37, -0.28, all P<0.01).Perceived stress was positively correlated with negative emotion and mobile phone addiction( r=0.50, 0.38, both P<0.01).Social support was positively correlated with psychological capital( r=0.50, P<0.01), while negatively correlated with perceived stress, negative emotion and mobile phone addiction( r=-0.41, -0.30, -0.12, all P<0.01).(2)Psychological capital influenced mobile phone addiction by the mediating effect of perceived stress( β=-0.20, SE=0.03, 95% CI: -0.27--0.13).In addition, psychological capital influenced mobile phone addiction through the chain mediating effect of perceived stress and negative emotion( β=-0.04, SE=0.01, 95% CI: -0.06--0.01).Moreover, the mediating effect of psychological capital on stress perception was moderated by social support. Conclusion:Perceived stress and negative emotion are important mediations between psychological capital and mobile phone addiction.Social support can moderate the effect of psychological capital on perceived stress.

Objective:To screen the circRNAs with differential expression between female patients with major depressive disorder and healthy women, and to explore the circRNAs that might be associated with depressive disorder through bioinformatics analysis.Methods:Using high-throughput sequencing screen differentially expressed circRNAs of female major depressive disorder patients, |log 2FC|≥1 and FDR<0.05 were used to determine whether circRNA had a difference in expression.According to the miRNA sponges function of circRNA, the online databases were used to predict miRNAs which may be targeted by circRNAs, and miRNAs related target genes were also predicted by the five most different circRNA.GO and KEGG pathway enrichment analysis were used to predict biological processes for the target genes and signaling pathways.Based on the results of high-throughput sequencing, biological processes and signaling pathways related to depression, circRNAs related to depression were screened. Results:Thirteen targeted miRNAs were predicted by the five most different circRNAs(hsa_circ_0020959, hsa_circ_0005959, hsa_circ_0033064, hsa_circ_0006862, hsa_circ_0027732), and multiple biological processes and signaling pathways related to depressive disorders were predicted by the target genes, such as glucocorticoid receptor signaling pathway, interleukin-7 response, nervous system development, Wnt signaling pathway, FoxO signaling pathway, thyroid hormone signaling pathway, neurotrophin signaling pathway, and so on.Conclusion:All the 5 circRNAs enriched biological processes or signaling pathways related to depressive disorder, among which hsa_circ_0005959, hsa_circ_0033064, hsa_circ_0006862 and hsa_circ_0027732 may be more closely related to female major depressive disorder.