Objective:To study the relationship between adult fluoride exposure and grip strength in rural areas of China with fluorosis, as well as the roles of basal metabolic rate (BMR) and body fat percentage (BFP) in the association between fluoride exposure and grip strength.Methods:From April to May 2017, a cluster sampling method was used to conduct a questionnaire survey, physical examination, and biological sample collection on residents aged 18 - 60 in Tongxu County, Kaifeng City, Henan Province (epidemic areas of drinking-water-borne fluorosis). A total of 1 168 subjects were included in the study, including 427 males and 741 females. The fluoride ion selective electrode method and the picric acid method were used to determine the concentrations of urine fluoride and urine creatinine, and the adjusted urine fluoride concentration (CUF) was calculated. BMR and BFP were measured by a bioelectrical impendence method, and the grip strength was measured by a Jamar grip dynamometer. The relationship between CUF, BMR, BFP and grip strength were analyzed using a generalized linear model regression. The mediation effect model was used to assess the mediating effect of BMR and BFP on the association between CUF and grip strength.Results:Female grip strength decreased by 0.28 kg ( P = 0.043) for every 1.00 mg/L increment in CUF. No similar association was found between the two in males ( P = 0.744). Regardless of gender stratification, BMR was positively correlated with grip strength ( P < 0.001). For every 1.00% increase in BFP, female grip strength decreased by 0.18 kg ( P = 0.043). The mediation effect model analysis results showed that the mediation effect ratios of BMR and BFP in the association between CUF and grip strength in female were 65.1% ( P < 0.001) and 8.4% ( P = 0.111), respectively. Conclusion:Fluoride exposure is associated with changes in female grip strength, and BMR changes play a partial mediating role in the association between fluoride exposure and female grip strength.

Objective To explore the digital transformation path of primary medical and health institutions in China,and provide reference for the research and follow-up policy formulation in the field.Methods The experience and practice of Tianjin digital health service consortium were collected by semi-structured interview,and the external and internal data were continuously collected as supplements.Finally,the data were coded and analyzed by programmatic grounded method.Results After coding,39 first-level categories and 13 second-level categories were obtained.Finally,guided by the theoretical analysis framework of organizational change,five core categories were obtained,namely,driving factors,structural change,technological change,person change and task change,so as to establish the digital transformation of primary health care institutions.Conclusion The four dimensions of structure,technology,person and task change influence and complement each other.The digital transformation of regional medical institutions should ensure the coordinated development of multiple dimensions at the organizational level.Finally,suggestions are put forward in three aspects:attaching importance to top-level design driving,applying digital technology to empower business scenarios,and actively promoting practical experience in relevant regions.

Objective To explore the correlation of CPNE3 expression with long-term prognosis of patients with gastric cancer(GC)and the possible mechanism.Methods We retrospectively collected the data of 104 GC patients undergoing radical surgery in our hospital from February,2013 to October,2017.TCGA database and immunohistochemistry were used to analyze CPNE3 expression level in GC tissues and its effects on tumor progression and long-term prognosis of the patients.GO analysis was performed to predict the biological role of CPNE3 in GC.We also conducted cell experiments with MGC803 cells and observed the effects of CPNE3 knockdown,CPNE3 overexpression and LY294002(a PI3K/AKT inhibitor)treatment on cell apoptosis and cellular expressions of apoptotic proteins using flow cytometry and Western blotting.Results TCGA analysis and immunohistochemistry both showed high expressions of CPNE3 in GC(P<0.05).The patients with high CPNE3 expressions had a reduced 5-year survival(P<0.01),and a high CPNE3 expression,CEA level≥5 μg/L,CA19-9 level≥37 kU/L,T3-T4 stage,and N2-N3 stage were all independent risk factors for a lowered 5-year survival rate after surgery.The sensitivity and specificity of CPNE3 for predicting 5-year mortality was 79.59%and 74.55%,respectively(P<0.05).GO analysis predicted that CPNE3 negatively regulated GC cell apoptosis.In MGC803 cells,CPNE3 knockdown significantly increased cell apoptosis,enhanced Bax and Cleaved Caspase-3 expressions and decreased Bcl-2 expression,while CPNE3 overexpression produced the opposite results(P<0.05).The cellular expressions of p-PI3K and p-AKT were significantly decreased following CPNE3 knockdown and increased following CPNE3 overexpression(P<0.05).Treatment with LY294002 obviously attenuated the inhibitory effect of CPNE3 overexpression on apoptosis of MGC803 cells(P<0.05).Conclusion CPNE3 is highly expressed in GC tissues and affects the long-term prognosis of the patients possibly by inhibiting GC cell apoptosis through activation of PI3K/AKT signaling.

In recent years, group psychological training has become one of the most important skills that must be mastered by psychological workers in colleges and universities. However, there are problems with its teaching models, such as unreasonable course content, insufficient autonomous practice, and the lack of teaching competency assessment. Based on the theory of modules of employable skills (MES), we have constructed the core modules of group psychological training on teaching course content and skills, and in accordance with the BOPPPS teaching model, we have achieved satisfying teaching effects though the teaching practice of "bridge-in-theory and discussion-teaching practice and supervision-effectiveness assessment and summarization", in which the trainees have made objective progress in theory application, scheme design, and skill practice, with a high degree of subjective self-satisfaction. According to the problems found in the teaching practice, we will further improve the model by optimizing the modules, innovating teaching implementation methods, refining competency assessment standards, and strengthen the overall integration with medical education in order to better meet the needs of the development of psychological service in colleges and universities.

Objective:To explore the predictive value of the prognostic nutritional index (PNI) in concurrently infected patients with acute-on-chronic liver failure (ACLF).Methods:220 cases with ACLF diagnosed and treated at the First Affiliated Hospital of Xi'an Jiaotong University from January 2011 to December 2016 were selected. Patients were divided into an infection and non-infection group according to whether they had co-infections during the course of the disease. Clinical data differences were compared between the two groups of patients. Binary logistic regression analysis was used to screen out influencing factors related to co-infection. The receiver operating characteristic curve was used to evaluate the predictive value of PNI for ACLF co-infection. The measurement data between groups were compared using the independent sample t-test and the Mann-Whitney U rank sum test. The enumeration data were analyzed using the Fisher exact probability test or the Pearson χ2 test. The Pearson method was performed for correlation analysis. The independent risk factors for liver failure associated with co-infection were analyzed by multivariate logistic analysis. Results:There were statistically significant differences in ascites, hepatorenal syndrome, PNI score, and albumin between the infection and the non-infection group ( P ?

Objective To explore the correlation of CPNE3 expression with long-term prognosis of patients with gastric cancer(GC)and the possible mechanism.Methods We retrospectively collected the data of 104 GC patients undergoing radical surgery in our hospital from February,2013 to October,2017.TCGA database and immunohistochemistry were used to analyze CPNE3 expression level in GC tissues and its effects on tumor progression and long-term prognosis of the patients.GO analysis was performed to predict the biological role of CPNE3 in GC.We also conducted cell experiments with MGC803 cells and observed the effects of CPNE3 knockdown,CPNE3 overexpression and LY294002(a PI3K/AKT inhibitor)treatment on cell apoptosis and cellular expressions of apoptotic proteins using flow cytometry and Western blotting.Results TCGA analysis and immunohistochemistry both showed high expressions of CPNE3 in GC(P<0.05).The patients with high CPNE3 expressions had a reduced 5-year survival(P<0.01),and a high CPNE3 expression,CEA level≥5 μg/L,CA19-9 level≥37 kU/L,T3-T4 stage,and N2-N3 stage were all independent risk factors for a lowered 5-year survival rate after surgery.The sensitivity and specificity of CPNE3 for predicting 5-year mortality was 79.59%and 74.55%,respectively(P<0.05).GO analysis predicted that CPNE3 negatively regulated GC cell apoptosis.In MGC803 cells,CPNE3 knockdown significantly increased cell apoptosis,enhanced Bax and Cleaved Caspase-3 expressions and decreased Bcl-2 expression,while CPNE3 overexpression produced the opposite results(P<0.05).The cellular expressions of p-PI3K and p-AKT were significantly decreased following CPNE3 knockdown and increased following CPNE3 overexpression(P<0.05).Treatment with LY294002 obviously attenuated the inhibitory effect of CPNE3 overexpression on apoptosis of MGC803 cells(P<0.05).Conclusion CPNE3 is highly expressed in GC tissues and affects the long-term prognosis of the patients possibly by inhibiting GC cell apoptosis through activation of PI3K/AKT signaling.

Objective To observe the expression of GLIS3 in triple negative breast cancer(TNBC)and analyze its relationship with the prognosis of TNBC patients.Methods Bioinformatic analysis was applied to analyze the expression level of GLIS3 in Gene Expression Omnibus(GEO).Kaplan-Meier survival curve was plotted to evaluate the impact of GLIS3 expression on the survival rate of patients based on DNA chip data.A total of 125 patients pathologically diagnosed as TNBC in the Fourth Hospital of Hebei Medical University from January to December 2014 were enrolled by cluster random sampling.Among them,53 patients had complete tissue specimens,medical records and follow-up data.Immunohistochemical assay was used to detect the expression of GLIS3 in TNBC and adjacent tissues to tumors,while the relationships between GLIS3 protein expression in breast cancer tissues and clinicopathological parameters such as age,menstrual status,tumor size,clinical stage,histological grade,pathological type,axillary lymph node metastasis,vascular tumor thrombus,and expression of TP53 and Ki-67 were analyzed.Kaplan-Meier survival curve was plotted to analyze the effect of GLIS3 on the overall and disease-free survival of TNBC patients.Cox regression model was established to identify the risk factors impacting the prognosis of the patients.Results Analysis of GEO data showed that the expression of GLIS3 in TNBC was significantly higher than that in paracancer tissues(P＜0.05).The expression of GLIS3 was notably higher in the TNBC tissue than the adjacent tissue to tumor(P＜0.05).A marked augmentation of GLIS3 expression was observed in both the advanced and larger-sized tumors(P＜0.05).Univariate analysis of Cox regression model revealed that lymph node metastasis,TNM stage and GLIS3 expression were all related to disease-free survival of TNBC patients(P＜0.05).Univariate and multivariate analyses displayed that TNM stage was related to the overall survival of TNBC patients(P＜0.05).The patients with high expression of GLIS3 had significant shorter disease-free survival time than those with low expression(P＜0.05),but had no statistical difference in overall survival(P＞0.05).Conclusion GLIS3 protein is highly expressed in TNBC tissues,and tumor size and TNM stage are correlated with its high expression.The high expression of GLIS3 suggests that the patients have poor prognosis and low disease-free survival rate.

Objective To explore the mediating effect of facial emotion recognition on prosocial behavior of medical students in mask-obscured scenes.Methods Fifty-three medical students from a medical university in Chongqing were enrolled from July to September 2023 to complete the facial emotion recognition task,the dictator gaming task and the state empathy test.Spearman correlation analysis was used to examine the correlation between mask wearing and state empathy,trait empathy and prosocial behaviours,and the PROCESS procedure was used to test the mediation of state empathy and the moderating effect of mask wearing or not.Results ①mask wearing,state empathy and prosocial behaviour were significantly correlated(P＜0.01);② State empathy exerted mediated effect between facial emotion recognition and prosocial behavior,with the largest effect size(47％)for the relative mediating effect of sadness;③The interaction terms of facial emotion recognition and mask wearing had a significant effect on state empathy(P＜0.05).Conclusion Facial emotion recognition can influence prosocial behavior directly and also exert indirect effect on prosocial behavior through state empathy.Compared to the condition without mask wearing,mask wearing can significantly facilitate the effect of happy,sad and neutral emotions on state empathy.

Objective To construct and validate a Nomogram prediction model for overall survival (OS) in middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer. Methods The clinical, pathological, and follow-up data of middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer in the Affiliated Hospital of Yangzhou University, Northern Jiangsu People's Hospital, and Yangzhou City Hospital of Traditional Chinese Medicine from March 1, 2012 to December 1, 2022 were retrospectively analyzed. Based on univariate and multivariate Cox regression analyses, the independent risk factors for OS in middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer were identified, and a Nomogram prediction model was further constructed and validated. The diagnostic performance of the model was evaluated by the receiver operating characteristic (ROC) curve and calibration curve, and the clinical effect of the model was assessed by decision curve analysis (DCA). Results A total of 382 patients were included. A total of 282 cases were as training sets and 100 cases were as validation sets. Univariate and multivariate Cox regression analyses indicated that family history of gastric cancer, vascular invasion, nerve invasion, T stage, and N stage were independent risk factors for OS in middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer (P < 0.05). A prognostic Nomogram was constructed based on these variables, and the concordance index of the model in the training and validation sets was 0.667 (95% CI, 0.601 to 0.726) and 0.708 (95%CI, 0.622 to 0.766) respectively. The ROC curve indicated that the model had good predictive accuracy. The calibration curve showed that the predicted value of the model was in good agreement with the actual value. DCA demonstrated that the model had good clinical application and potential values. Conclusion The Nomogram model for 1-, 3- and 5-year OS in middle-aged and elderly patients with stage Ⅱ to Ⅲ gastric cancer constructed based on real-world big data in this study has an ideal predictive effect, which can help clinicians effectively assess patients' prognosis.

With the recent ongoing autumn/winter 2022 COVID-19 wave and the adjustment of public health control measures, there have been widespread SARS-CoV-2 infections in Chinese mainland. Here we have analyzed 369 viral genomes from recently diagnosed COVID-19 patients in Shanghai, identifying a large number of sublineages of the SARS-CoV-2 Omicron family. Phylogenetic analysis, coupled with contact history tracing, revealed simultaneous community transmission of two Omicron sublineages dominating the infections in some areas of China (BA.5.2 mainly in Guangzhou and Shanghai, and BF.7 mainly in Beijing) and two highly infectious sublineages recently imported from abroad (XBB and BQ.1). Publicly available data from August 31 to November 29, 2022 indicated an overall severe/critical case rate of 0.035% nationwide, while analysis of 5706 symptomatic patients treated at the Shanghai Public Health Center between September 1 and December 26, 2022 showed that 20 cases (0.35%) without comorbidities progressed into severe/critical conditions and 153 cases (2.68%) with COVID-19-exacerbated comorbidities progressed into severe/critical conditions. These observations shall alert healthcare providers to place more resources for the treatment of severe/critical cases. Furthermore, mathematical modeling predicts this autumn/winter wave might pass through major cities in China by the end of the year, whereas some middle and western provinces and rural areas would be hit by the upcoming infection wave in mid-to-late January 2023, and the duration and magnitude of upcoming outbreak could be dramatically enhanced by the extensive travels during the Spring Festival (January 21, 2023). Altogether, these preliminary data highlight the needs to allocate resources to early diagnosis and effective treatment of severe cases and the protection of vulnerable population, especially in the rural areas, to ensure the country's smooth exit from the ongoing pandemic and accelerate socio-economic recovery.