The Functions and Application Prospects of Hepatocyte Growth Factor in Reproduction.

Hepatocyte growth factor (HGF) is expressed in multiple systems and mediates a variety of biological activities, such as mitosis, motility, and morphogenesis. A growing number of studies have revealed the expression patterns and functions of HGF in ovarian and testicular physiology from the prenatal to the adult stage. HGF regulates folliculogenesis and steroidogenesis by modulating the functions of theca cells and granulosa cells in the ovary. It also mediates somatic cell proliferation and steroidogenesis, thereby affecting spermatogenesis in males. In addition to its physiological effects on the reproductive system, HGF has shown advantages in preclinical studies over recent years for the treatment of male and female infertility, particularly in women with premature ovarian insufficiency. This review aims to summarize the pleiotropic functions of HGF in the reproductive system and to provide prospects for its clinical application.

Moderating effects of PER3 gene DNA methylation on the association between problematic mobile phone use and chronotype among Chinese young adults: Focus on gender differences.

Objective: To investigate the rates of problematic mobile phone use (PMPU) and chronotypes in young adults, and examine the associations of PMPU with chronotypes, as well as its gender differences. Furthermore, we explored the moderating role of PER3 gene DNA methylation on the associations. Methods: From April to May 2019, a total of 1,179 young adults were selected from 2 universities in Anhui and Jiangxi provinces. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) and reduced Morningness-Eveningness Questionnaire (rMEQ) were adopted to investigate PMPU and chronotypes in young adults, respectively. Moreover, 744 blood samples were collected to measure PER3 gene DNA methylation. Multivariate logistic regression models were established to analyze the associations between PMPU and chronotypes. Moderating analysis was used to determine whether PER3 gene DNA methylation moderated the relationships between PMPU and chronotypes. Results: The prevalence of PMPU, morning chronotypes (M-types), neutral chronotypes (N-types), and evening chronotypes (E-types) of young adults were 24.6%, 18.4%, 71.1%, and 10.5%, respectively. Multivariate logistic regression results indicated that PMPU was positively correlated with E-types (OR = 3.53, 95%CI: 2.08-6.00), and the association was observed only in females after stratified by gender (OR = 5.36, 95%CI: 2.70-10.67). Furthermore, PER3 gene DNA methylation has a negative moderating role between PMPU and chronotypes and has a sex-based difference. Conclusions: This study can provide valuable information for the prevention and control of circadian rhythm disturbance among young adults from the perspective of epidemiology and biological etiology.

MCM8 interacts with DDX5 to promote R-loop resolution.

MCM8 has emerged as a core gene in reproductive aging and is crucial for meiotic homologous recombination repair. It also safeguards genome stability by coordinating the replication stress response during mitosis, but its function in mitotic germ cells remains elusive. Here we found that disabling MCM8 in mice resulted in proliferation defects of primordial germ cells (PGCs) and ultimately impaired fertility. We further demonstrated that MCM8 interacted with two known helicases DDX5 and DHX9, and loss of MCM8 led to R-loop accumulation by reducing the retention of these helicases at R-loops, thus inducing genome instability. Cells expressing premature ovarian insufficiency-causative mutants of MCM8 with decreased interaction with DDX5 displayed increased R-loop levels. These results show MCM8 interacts with R-loop-resolving factors to prevent R-loop-induced DNA damage, which may contribute to the maintenance of genome integrity of PGCs and reproductive reserve establishment. Our findings thus reveal an essential role for MCM8 in PGC development and improve our understanding of reproductive aging caused by genome instability in mitotic germ cells.

Multifunctional magnetic tags with photocatalytic and enzyme-mimicking properties for constructing a sensitive dual-readout ELISA.

ELISA has become the gold standard for detecting harmful substances due to its specific antibody recognition and sensitive enzyme-catalyzed reactions. In this study, multifunctional magnetic Prussian blue nanolabels (MPBNs) were synthesized using a simple gentle two-step method to achieve a dual-readout mode. The MPBNs provide a sensitive colorimetric signal by efficiently catalyzing the oxidation of TMB and exhibit prominent photocatalytic degradation activity towards Rhodamine B (RhB). Supplemented by the quenching effect of oxTMB, the fluorescence was enabled to serve as a sensitive second signal. The magnetic property of the labels facilitates the separation and enrichment of the target, thereby improving sensitivity. Utilizing the versatile MPBNs, the visual limit of detection (vLOD) for Staphylococcus aureus is as low as 100 CFU/mL, with a quantitative analysis range of 102-108 CFU/mL. The introduction of photocatalytic reactions into immunoassay has opened up a new signal response system with strong momentum for development and application.

Prospective study of the association between chronotypes and depressive symptoms in Chinese university students: Moderating effects of PER1 gene DNA methylation.

Most studies have shown a link between chronotypes and mental health and have identified evening chronotypes (E-types) as a potential risk for depressive symptoms. However, the mechanisms behind this association remain unknown. Abnormal expression of the PER1 gene was not only associated with circadian rhythm disturbance, but also closely related to mental illness. Therefore, this study aimed to examine the association of chronotype with depressive symptoms, and further explore the moderating effects of the PER1 gene DNA methylation on chronotypes and depressive symptoms in Chinese university students. In a stratified cluster sampling design, chronotype and depressive symptoms were assessed in 1 042 university students from 2 universities in a two-year prospective survey from April 2019 to October 2020. The survey was conducted once every 6 months, corresponding to the time points in April 2019 (T0), October 2019 (T1), April 2020 (T2), and October 2020 (T3). At T0, the Morning and Evening Questionnaire 5 (MEQ-5) was adopted to assess chronotype. At T0-T3, the Patient Health Questionnaire 9 (PHQ-9) was adopted to investigate depressive symptoms. Meanwhile, at T0, participants were subjected to a health check-up trip in the hospital, and blood samples were taken from the students to measure the PER1 gene DNA methylation levels. Binary logistic regression was used to analyze the association of chronotypes with depressive symptoms. The depression/total depression group was coded as 1, while the remaining participants was defined as one group, and was coded as 0. The PROCESS plug-in of SPSS software was used to analyze the moderating effects of PER1 gene DNA methylation on the association of chronotype with depressive symptoms. After adjusting for covariates, the results indicated that T0 E-types were positively correlated with T0-T3 depression/total depression in female university students. Furthermore, the PER1 gene DNA methylation has negative moderating effects between T0 chronotype and T3 depressive symptoms and has a sex difference. This study can provide more favorable scientific value for the prevention and control of depression in university students.

Discovery of Novel 5,6-Dihydro-4H-pyrido[2,3,4-de]quinazoline Irreversible Inhibitors Targeting Both Wild-Type and A775_G776insYVMA Mutated HER2 Kinases.

HER2 mutations were seen in 4% of non-small-cell lung cancer (NSCLC) patients. Most of these mutations (90%) occur as an insertion mutation within the exon 20 frame, leading to the downstream activation of the PI3K-AKT and RAS/MAPK pathways. However, no targeted therapies have yet been approved worldwide. Here a novel series of highly potent HER2 inhibitors with a pyrido[2,3,4-de]quinazoline core were designed and developed. The derivatives with the pyrido[2,3,4-de]quinazoline core displayed superior efficacy of antiproliferation in BaF3 cells harboring HER2insYVMA mutation compared with afatinib and neratinib. Rat studies showed that 8a and 9a with the newly developed core have good pharmacokinetic properties with an oral bioavailability of 41.7 and 42.0%, respectively. Oral administration of 4a and 10e (30 mg/kg, QD) displayed significant antitumor efficacy in an in vivo xenograft model. We proposed promising strategies for the development of HER2insYVMA mutant inhibitors in this study.

Novel compound heterozygous variants in FANCI cause premature ovarian insufficiency.

Premature ovarian insufficiency (POI) is a common reproductive aging disorder due to a dramatic decline of ovarian function before 40 years of age. Accumulating evidence reveals that genetic defects, particularly those related to DNA damage response, are a crucial contributing factor to POI. We have demonstrated that the functional Fanconi anemia (FA) pathway maintains the rapid proliferation of primordial germ cells to establish a sufficient reproductive reserve by counteracting replication stress, but the clinical implications of this function in human ovarian function remain to be established. Here, we screened the FANCI gene, which encodes a key component for FA pathway activation, in our whole-exome sequencing database of 1030 patients with idiopathic POI, and identified two pairs of novel compound heterozygous variants, c.[97C > T];[1865C > T] and c.[158-2A > G];[c.959A > G], in two POI patients, respectively. The missense variants did not alter FANCI protein expression and nuclear localization, apart from the variant c.158-2A > G causing abnormal splicing and leading to a truncated mutant p.(S54Pfs*5). Furthermore, the four variants all diminished FANCD2 ubiquitination levels and increased DNA damage under replication stress, suggesting that the FANCI variants impaired FA pathway activation and replication stress response. This study first links replication stress response defects with the pathogenesis of human POI, providing a new insight into the essential roles of the FA genes in ovarian function.

Associations of sleep quality trajectory and social jetlag with comorbid symptoms of anxiety and depression among college students / 中国学校卫生

Objective@#To describe the prevalence and the association of sleep quality trajectory, social jetlag and comorbid symptoms of anxiety and depression among college students, in order to provide a theoretical basis for improving the comorbid symptoms of anxiety and depression in college students.@*Methods@#A questionnaire survey was conducted among 1 135 college students from two universities in Shangrao, Jiangxi Province and Hefei, Anhui Province from April to May 2019, and were followed up once every one year for a total of three times, with a valid sample size of 1 034 individuals after matching with the baseline survey. A selfassessment questionnaire was used to investigate the social jetlag of college students, the Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire 9 (PHQ-9) were used to evaluate anxiety and depression symptoms, respectively, while the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality. College students with GAD-7 score ≥5 and PHQ-9 score ≥5 were defined as having comorbid anxiety and depression symptoms. Latent class growth model (LCGM) was employed to analyze the sleep quality trajectory of college students, and binary Logistic regression was used to analyze the relationship between social jetlag, sleep quality trajectory and comorbid symptoms of anxiety and depression.@*Results@#The detection rate of comorbid symptoms of anxiety and depression among college students was 16.9%, and the detection rate of social jetlag ≥2 h was 13.8%. The sleep quality showed an overall improvement trend, and the two trajectories were good sleep quality (81.6%) and poor sleep quality (18.4%). Binary Logistic regression model showed that poor sleep quality and social jetlag ≥2 h were positively correlated with comorbid symptoms of anxiety and depression (OR=5.94, 1.84, P<0.05).@*Conclusions@#Poor sleep quality and social jetlag ≥2 h in college students increase the risk of comorbid symptoms of anxiety and depression. Early screening and intervention of sleep quality and reduction of social jetlag are crucial for enhancing the mental health of college students.

Association of different sleep characteristics and cardiometabolic risk in college students / 中国学校卫生

Objective@#To describe the association of different sleep characteristics and cardiometabolic risk among college students, so as to provide reference for health promotion of college students.@*Methods@#By random cluster sampling method, a questionnaire survey and physical examination including blood pressure, waist circumference and blood lipid indicators, which were conducted in April and May of 2019 among a total of 1 179 college students from the first grade in two universities in Hefei City of Anhui Province and Shangrao City of Jiangxi Province. A total of 729 college students with valid questionnaires were included into analysis. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to investigate sleep behavior, and the Morning And Evening Questionnaire-5 (MEQ-5) was used to investigate sleep characteristics. The cardiometabolic risk score was derived using the sum of the standardized sex specific Z scores of waist circumference, mean arterial pressure, HDL cholesterol (multiplied by -1), triglycerides, and insulin resistance index. The rank sum tests were used to compare differences in cardiometabolic risk scores across demographic characteristics. Generalized linear models were used to compare the association of different sleep characteristics with cardiometabolic risk scores among college students.@*Results@#The average cardiovascular metabolic risk score of college students was -0.32(-2.03, 1.58). There were statistically significant differences in cardiovascular metabolic risk scores among college students in variables such as smoking, health status, and physical activity levels ( t/F=-3.41, 12.88, 51.07, P <0.01). The results of the generalized linear model showed that nighttime preference ( B=1.89, 95%CI =1.02-3.49), insomnia symptoms ( B=3.25, 95%CI =1.79-5.90), and short or long sleep duration ( B=1.92, 95%CI =1.21-3.05) were positively correlated with the cardiovascular metabolic risk score of college students ( P <0.05).@*Conclusions@#Poor sleep patterns among college students are positively correlated with the risk of cardiovascular metabolism. The sleep behavior of college students should be actively changed to reduce the risk of cardiovascular disease.

The Association between Left Ventricular End-Diastolic Diameter and Long-Term Mortality in Patients with Coronary Artery Disease.

Background: Left ventricular end-diastolic diameter (LVEDD) is a common parameter in echocardiography. Increased LVEDD is associated with left ventricular (LV) dysfunction. However, the association between LVEDD and all-cause mortality in patients with coronary artery disease (CAD) is uncertain. Methods: This study enrolled 33,147 patients with CAD who had undergone transthoracic echocardiography between January 2007 and December 2018 from the Cardiorenal Improvement study (NCT04407936). The patients were stratified into four groups based on the quartile of LVEDD (Quartile 1: LVEDD ≤ 43 mm, Quartile 2: 43 mm < LVEDD ≤ 46 mm, Quartile 3: 46 mm < LVEDD ≤ 51 mm, Quartile 4: LVEDD > 51 mm) and were categorized into two groups (Quartile 1-3 versus Quartile 4). Survival curves were generated with the Kaplan-Meier analysis, and the differences between groups were assessed by log-rank test. Restricted cubic splines and cox proportional hazards models were used to investigate the association with LVEDD and all-cause mortality. Results: A total of 33,147 patients (average age: 63.0 ± 10.6 years; 24.0% female) were included in the final analysis. In the average follow-up period of 5.2 years, a total of 4288 patients died. The mortality of the larger LVEDD group (Quartile 4) was significantly higher than the lower LVEDD groups (Quartile 1-3) (18.05% vs 11.15%, p < 0.001). After adjusting for confounding factors, patients with the larger LVEDD (Quartile 4) had a 1.19-fold risk for all-cause mortality (95% CI: 1.09-1.30) compared with the lower quartile (Quartile 1-3). Conclusions: Enlarged LVEDD is an independent predictor of all-cause mortality in patients with CAD. LVEDD measurements may be helpful for risk stratification and providing therapeutic targets for the management of CAD patients.

Bidirectional associations between cellular phone use behaviors and depressive symptoms in college students: a follow up study / 中国学校卫生

Objective@#The study aimed to describe the prevalence of mobile phone use and depressive symptoms and to examine the bidirectional associations between the two among college students, providinb evidence for mental health promotion among college students.@*Methods@#A longitudinal study with follow up at 6 month intervals was conducted in 1 135 students from 2 universities in Hefei, Anhui Province and Shangrao, Jiangxi Province who were selected between April and May 2019. The last follow up was conducted between April and May 2021 based on questionnaire survey, and 999 valid participants were obtained after matching. The self designed questionnaire was used to investigate the duration of cellular phone use and use of cellular phone functions among college students. The Self rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) and the Patient Health Questionnaire-9 (PHQ-9) were used to assess cellular phone dependence and depressive symptoms among college students. Pearson correlation analysis was used to examine the correlation between cellular phone use behavior and depressive symptoms at baseline and 2 years later; linear regression model was used to analyze the linear association between cellular phone use behavior and depressive symptoms scores; autoregressive cross lagged model was used to analyze the bidirectional associations between cellular phone use behaviors and depressive symptoms among college students over time.@*Results@#The prevalence of mobile phone dependence and depressive symptoms among college students at baseline were 24.3% and 42.4%, respectively. The mean duration of mobile phone use among college students at baseline and the 2 year follow up were (2.84±0.90)h/d and (2.02±1.05)h/d, respectively; the mean scores of mobile phone dependence were (23.30±9.00) and (23.29±10.45), respectively; the mean scores of mobile phone function use were (30.12±6.66) and (29.12±7.27), respectively; and the mean scores of depressive symptoms were (4.51±4.76) and (2.61±4.40), respectively. Pearson correlation analysis showed there were significant positive correlations between duration of cellular phone use, cellular phone dependence, use of cellular phone functions at baseline or 2 years later and depressive symptoms 2 years later( r =0.08-0.50, P <0.05). Linear regression models showed a significant positive association between cellular phone dependence at baseline and depressive symptoms ( β=0.26, 95%CI =0.23-0.29) at baseline and 2 years later ( β=0.12, 95%CI =0.09-0.15). Autoregressive cross lagged models showed that cellular phone dependence at baseline positively predicted depressive symptoms 2 years later ( β =0.04) and depressive symptoms at baseline positively predicted cellular phone dependence 2 years later( β =0.23)( P <0.05).@*Conclusion@#There was a bidirectional association between cellular phone dependence and depressive symptoms among college students. Reducing cellular phone dependence is of positive significance for improving college students mental health.

Association between sleep quality and anxiety-depression co-morbid symptoms among nursing students of medical college in Hefei City / 中国学校卫生

Objective@#To describe the prevalence and association of sleep quality and anxiety-depression co-morbid symptoms among nursing students, in order to provide a reference basis for promoting the development of nursing students mental health.@*Methods@#Using a prospective study design, baseline survey was conducted in January 2019 among a random cluster sample of 1 716 individuals in three medical universities in Hefei, Anhui Province, and a follow-up survey was conducted in October 2019, with a valid number of 1 573 individuals after matching with the baseline survey. The Pittsburgh Sleep Quality Index (PSQI) was used to assess nursing students sleep quality, and the Depression Anxiety Stress Scale (DASS-21) to assess the anxiety-depression comorbid symptoms.@*Results@#The detection rates of anxiety-depression co-morbidities among nursing students at baseline and follow-up survey were 16.9% and 18.2%, respectively, and the detection rates of poor sleep quality among nursing students at baseline and follow-up survey were 10.1% and 10.3%, respectively. The results of the binary Logistic regression model showed that baseline PSQI score were positively associated with the risk of anxiety-depression co-morbid symptoms among nursing students at baseline ( OR=1.49, 95%CI =1.40-1.59) and after nine months of follow-up ( OR=1.22, 95%CI =1.16-1.28). Furthermore, the influence of baseline sleep quality on the risk of anxiety-depression co-morbid symptoms were mainly concentrated in the five dimensions of sleep time, sleep efficiency, sleep disorders, hypnotic drugs and daytime dysfunction, and such effects of sleep time, sleep disorders and daytime dysfunction still existed in the follow-up investigation.@*Conclusion@#Poor sleep quality of nursing students can increase the risk of anxiety-depression co-morbidities. Improving sleep quality of nursing students has a positive effect on improving their mental health.

Latent classes of health risk behaviors in medical students and depressive symptoms / 中国学校卫生

Objective@#To identify the latent classes of various health risk behaviors among medical students and further analyze the correlation between different classes and depression.@*Methods@#Using the method of convenient sampling, 2 014 medical students were selected from Anhui Medical University in October 2018. Self-designed online questionnaire were used to collect demographic data, health risk behavior (including smoking, drinking, suicide, sleep disorders, mobile phone dependence and lack of exercise) and depressive symptoms. Latent Class Analysis was used to cluster individuals. Logistic regression was provided to further analyze the association between health risk behaviors and depressive symptoms for the groups.@*Results@#The health hazard behaviors of medical students could be divided into three separate classes: substance dependence group (8.4%), mobile phone dependence group (22.4%) and low-risk group (69.2%). The distribution of health risk behaviors of medical students with different gender, major, grade, only child，father s educational level，monthly living expenses, academic achievement and number of friends were statistically significant (χ 2=99.37,19.07,12.05,6.64,14.28,19.35,20.61,26.39,P<0.05). The results of Logistic regression analysis showed that after adjusting for gender, major, grade, only child, father s educational level，monthly living expenses, academic achievement and number of friends, the mobile phone dependence group was positively correlated with depressive symptoms (β=1.75, P<0.01).@*Conclusion@#Different ratent classes of health risk behaviors have different correlation with depressive symptoms in groups.It is suggested that school health workers should make individualized intervention plan for different types of health hazard behavior of medical students in the future educational activities, carry out stratified intervention, alleviate the symptoms of depression and promote the mental health of medical students.

Association between cell phone dependence and anxiety-depression co morbid symptoms among college students / 中国学校卫生

Objective@#To describe the prevalence of cell phone dependence and anxiety-depression co morbidity among college students, and to explore the association between cell phone dependence and anxiety-depression co morbidity among college students, in order to provide a reference basis for promoting the development of college students mental health.@*Methods@#Using a prospective study design, baseline survey was conducted in April-May 2019 among a random whole group sample of 1 135 individuals in two universities in Hefei, Anhui Province and Shangrao, Jiangxi Province, and a follow up survey was conducted in November 2019 among the sampled population, with a valid number of 1 110 individuals after matching with the baseline survey. The Self rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) was used to assess college students cell phone dependence, and the Depression Anxiety Stress Self Rating Scale (DASS-21) to assess depression, anxiety, and anxiety depression co morbidity symptoms, and the self administered Health Related Behavior and Mental Health Questionnaire for College Students to report sleep duration.@*Results@#The detection rates of cell phone dependence among college students at baseline and follow up surveys were 24.5% and 27.7%, respectively, and the detection rates of anxiety symptoms, depressive symptoms, and anxiety depression co morbidities were 28.7%, 21.3%, and 18.4%, respectively. The results of the binary Logistic regression model showed that cell phone dependence was positively associated with the risk of anxiety depression co morbid symptoms among college students at baseline ( OR =5.79, 95% CI =4.06-8.24) and after six months of follow up ( OR =2.62, 95% CI =1.86-3.69) ( P <0.01). The results of the moderating effect analysis showed that sleep duration moderated the association between cell phone dependence and anxiety depression co morbidities, and the interaction term was statistically significant ( β =0.08, 0.04, P <0.01).@*Conclusion@#Cell phone dependence in college students increases the risk of depressive and anxiety co morbid symptoms, and sleep mitigates effect of cell phone dependence on depressive and anxiety co morbid symptoms in college students.

Study on the relationship between physical activity and physical, mental health of college students / 中国学校卫生

Objective@#To describe physical activity (PA) level of college students, and to examine the associations between PA and physical health and depression, so as to provide evidence for health promotion of college students.@*Methods@#During June to July 2018, a cross-sectional survey was conducted among 4 624 college students from 2 universities in Anhui and Jiangxi provinces. The basic information was investigated by the questionnaire. PA was assessed by the International Physical Activity Questionnaire(IPAQ). Physical and mental health were evaluated by the 36-item Short Form Health Survey Questionnaire (SF-36) and the Center for Epidemiologic Studies Depression Scale(CES-D), respectively.Chi-square test was used to examine the differences between physical health and depression among college students with different demographic characteristics. The generalized linear model and binary logistic regression model were used to analyze the relationships between PA and physical health and depression.@*Results@#The proportion of good, medium and poor physical health were 64.5%, 31.6% and 3.9%, respectively. The detection rate of depression was 34.1%. Compared to low PA group, physical health was negatively correlated with medium PA (OR=0.78, 95%CI=0.66-0.91) and high PA(OR=0.46, 95%CI=0.38-0.56). Binary logistic regression results showed that, depression was negatively associated with medium PA (OR=0.69, 95%CI=0.59-0.82) and high PA(OR=0.66, 95%CI=0.55-0.79)(P<0.05). @*Conclusion@#There is a significant association between PA and physical health and depression. Further longitudinal studies are needed to clarify the causal relationship between PA and physical and mental health.

Mobile phone dependence and gray matter volume in college freshmen / 中国学校卫生

Objective@#This study aimed to investigate the correlation between brain gray matter volume(GMV) and MPD based on voxel-based morphometry(VBM) method.@*Methods@#By using principle of random sampling method, 566 students were recruited from 5 different majors in a certain university. An electronic questionnaire was used to collect the general situation and MPD. Moreover, 266 students were obtained high-resolution 3-dimensional T1 structure images by 3.0 T MRI based on voluntary principle. A multiple regression model with VBM8 was performed to detect GMV associated with MPD scores.@*Results@#Among the 266 participants, 81 students(30.5%) reported MPD. There were no statistical differences of MPD scores between different characteristics, such as gender, residential area, sibling and perceived family income, as well as academic performance(t/F=-1.04,0.40,-1.30,0.23,1.48,P>0.05). An inverse correlation was found between GMV of the anterior cingulate gyrus(ACC) and right fusiform gyrus(FFG) with MPD scores(FDR corrected, P<0.05), and no positive associations were found.@*Conclusion@#College students with higher severity of MPD have lower GMV of ACC and right FFG, and these results suggested that MPD was correlated with brain reward, executive control and emotional related GMV.

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.

Beverages consumption, sleep quality and depressive symptoms in Chinese university students: a latent variable mediation model / 中国学校卫生

Objective@#This study aimed to examine the mediating effects of sleep quality in the association between beverages consumption and depressive symptoms in Chinese university students, and to provide a theoretical reference for preventing and reducing depression symptoms.@*Methods@#This school-based cross-sectional survey was carried out among 4 624 university students from 2 universities in Anhui and Jiangxi provinces of China. The patient health questionnaire-9 items (PHQ-9) was used to assess depressive symptoms. The Pittsburgh sleep quality index（PSQI） was used to assess sleep quality, and a self-reported dietary frequency questionnaire was used to measure beverages consumption. The quantile regression model was used to association analysis, and the latent variable mediation model was used to analyze the mediation effect.@*Results@#The positive rates of mild, moderate, moderate to severe and severe depression in 4 624 university students were 31.4%, 7.5%, 4.1% and 2.0%, respectively. There was a significant association between the beverages consumption score, the PSQI score, and the PHQ-9 score( P <0.01). The higher the quantile of the beverage consumption and PSQI score, the greater the regression coefficient ( β ), and a significant dose-response relationship was observed( P <0.01). In the latent variable mediation model of beverages consumption associated with depressive symptoms in Chinese university students, the mediating effect value of sleep quality was 0.12, and the ratio of mediating effect to total effect was 71.3%.@*Conclusion@#Our study demonstrates that poor sleep quality partially mediates the association between beverages consumption and depressive symptoms in Chinese university students.