Objective: To analyze the current situation and related factors of physical exercise behavior among high school students, so as to provide theoretical basis for improving their health level. Methods: In May 2022, a stratified cluster random sampling method was used to select 17 high schools in the jurisdiction of Taizhou City. A total of 3 402 high school students were selected by class to conduct a survey on the prevalence and related factors of physical exercise behavior by Chinese Sports Activity Level Scale. And binary Logistic regression analysis was conducted to analyze the influencing factors. Results: Among the surveyed high school students, the rate of poor physical exercise behavior reached 53.4%. The rates of poor physical exercise behavior varied within the group in terms of gender, urban and rural areas, whether they were only children, maternal education, parental emotions, parental exercise habits, parenting styles, family income and academic performance were statistically significant (χ2=12.38, 11.73, 742.71, 28.86, 24.38, 39.98, 71.92, 33.34, 176.97, P<0.01). High school students of grade 3, female students, parents with low education, parents who occasionally and never exercise, intergenerational discipline, low family income, and average academic performance were the tendency factors for poor physical exercise behavior(OR=1.39, 1.18, 1.62, 1.30, 1.36, 2.21, 1.53, 1.46, 1.52, P<0.05). Conclusions The rate of poor physical exercise behavior among high school students in Taizhou City is relatively high and is affected by various factors such as age, gender, academic performance, and family background. It should actively reduce the impact of unfavorable factors, promote high school students to participate in physical exercise, and improve the health level of high school students.

Objective To investigate the influencing factors for chronic pancreatitis(CP)complicated by pancreatogenic portal hypertension(PPH),and to establish a predictive model.Methods A retrospective analysis was performed for the clinical data of 99 patients with CP complicated by PPH who were hospitalized in The First Affiliated Hospital of Kunming Medical University,Chuxiong Yi Autonomous Prefecture People's Hospital,Wenshan People's Hospital,and Puer People's Hospital from January 2017 to December 2022,and these patients were enrolled as PPH group.The incidence density sampling method was used to select 198 CP patients from databases as control group.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups.The Least Absolute Shrinkage and Selection Operator(LASSO)regression model was used to identify the potential predictive factors for CP complicated by PPH,and the predictive factors obtained were included in the multivariate Logistic regression analysis to obtain independent risk factors,which were used to establish a nomogram prediction model.The receiver operating characteristic(ROC)curve,the calibration curve,and the Hosmer-Lemeshow goodness-of-fit test were used to perform internal validation of the model,and the clinical decision curve was used to assess the clinical practicability of the model.Results There were significant differences between the two groups in sex,history of recurrent acute pancreatitis attacks,acute exacerbation of CP,bile duct stones,peripancreatic fluid accumulation,pseudocysts,pulmonary infection,elevated C-reactive protein(CRP),elevated procalcitonin,fibrinogen(FIB),neutrophil-lymphocyte ratio(NLR),gamma-glutamyl transpeptidase,total bilirubin,direct bilirubin,low-density lipoprotein(LDL),serum amylase,D-dimer,and serum albumin(all P<0.05).The predictive variables obtained by the LASSO regression analysis included sex,recurrent acute pancreatitis attacks,bile duct stones,peripancreatic fluid accumulation,pulmonary infection,pseudocysts,CRP,NLR,FIB,and LDL.The multivariate Logistic regression analysis showed that sex(odds ratio[OR]=2.716,P<0.05),recurrent acute pancreatitis attacks(OR=2.138,P<0.05),peripancreatic fluid accumulation(OR=2.297,P<0.05),pseudocysts(OR=2.805,P<0.05),and FIB(OR=1.313,P<0.05)were independent risk factors for CP complicated by PPH.The above factors were fitted into the model,and the Bootstrap internal validation showed that the nomogram model had an area under the ROC curve of 0.787(95%confidence interval:0.730—0.844),and the calibration curve was close to the reference curve.The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good degree of fitting(χ2=7.469,P=0.487).The clinical decision curve analysis showed that the prediction model had good clinical practicability.Conclusion Male sex,recurrent acute pancreatitis attacks,peripancreatic fluid accumulation,pseudocysts,and FIB are independent risk factors for CP complicated by PPH,and the nomogram model established has good discriminatory ability,calibration,and clinical practicability.

Skin modeling of transdermal drug delivery system refers to experimental models that mimic the structure and function of human skin to explore and evaluate absorption,penetration,and efficacy of medicines in transdermal drug delivery.It provides an alternative to traditional human skin experiments and reduces the use of human skin in medical research,which is convenient,controllable,and cost effective.For skin models of transdermal drug delivery systems,this article introduces commonly used animal skin models,artificial skin models,and recombinant human skin models from the perspective of the transdermal absorption pathway of medicines,and analyzes their advantages,disadvantages,and applications so provide references the research and development of transdermal formulations and topical therapies.

Objective To investigate the value of histone deacetylase 3(HDAC3)in evaluating the risk of slow/no reflow in AMI patients after PCI.Methods A total of 280 AMI patients undergo-ing PCI in our hospital from June 2020 to June 2022 were recruited,and according to TIMI blood flow grading,they were divided into slow/no reflow group(TIMI≤grade 11,n=54)and normal flow group(TIMI＞grade Ⅱ,n=226).The demographic characteristics,underlying diseases,baseline data at admission,and preoperative results of coronary angiography and laboratory tests were compared between the two groups.Multivariate logistic regression analysis was used to determine the influencing factors for slow/no reflow in AMI patients after PCI,and ROC curve was drawn to analyze the predictive value of related indicators for slow/no reflow.Results Obvi-ously larger proportions of smoking history and Killip grade Ⅱ,higher heart rate,longer reperfu-sion time,and higher serum levels of LDL-C,NLR,D-D and HDAC3 were observed in the slow/no reflow group than the normal flow group(P＜0.05,P＜0.01).Multivariate logistic regression analysis showed that reperfusion time,NLR and HDAC3 were influencing factors for slow/no reflow in AMI patients after PCI(P＜0.05,P＜0.01).The AUC value of reperfusion time+NLR in predicting the slow/no reflow after PCI in AMI patients was 0.798(95％CI:0.664-0.922,P=0.002),with a sensitivity and specificity of 0.87 and 0.73,respectively.And when serum HDAC3 level was combined in the prediction,the AUC value was 0.903(95％CI:0.790-0.922,P＜0.01),with a sensitivity and specificity of 0.93 and 0.84,respectively.Conclusion Preoperative HDAC3 level is an influencing factor for slow/no reflow in AMI patients after PCI.Based on reperfusion time and NLR,combination of the 3 indicators can provide additional predictive value for slow/no reflow in these patients.

Objective: To understand the nutritional literacy level and associated factors of primary and secondary school students in Beijing, so as to provide a scientific basis for improving student nutrition. Methods: From October 2022 to May 2023, a multi stage cluster random sampling method was employed to select a total of 14 568 primary, junior and senior high school students from 16 districts (ecluding the Economic Technological Development area) in Beijing. Through a survey questionnaire on nutritional literacy and dietary hehavior of school age children, basic information as well as data on nutritional literacy levels across four dimensions:nutrition related knowledge concepts, food selection, food preparation, and food intake dimensions were obtained. The Wilcoxon rank sum test, Kruskal-Wallis test, Spearman correlation analysis, Chi square test and binary Logistic regression were used for the analysis. Results: The median total score of nutritional literacy among primary and secondary school students in Beijing was 68.8. Approximately 26.0% of primary and secondary school students achieved nutritional literacy standards. The median scores and rates of meeting the standards for nutrition related knowledge concepts, food selection, food preparation and food intake dimensions were 23.0, 42.1%; 17.0, 27.4%; 6.5, 33.5%; 23.0, 33.3%, respectively. There were positive correlations between all pairs of the four dimensions ( r=0.33-0.49, P <0.05). The results of multiple Logistic regression analysis showed that primary school students, junior high school students, female students, suburban students, caregivers with a college education level and a bachelor s degree or above were the positive arrelation factors that promoted the achievement of nutritional literacy standards ( OR =2.21, 1.39, 1.18, 1.27, 1.42, 1.66, P <0.05). Conclusion The literacy level of primary and secondary school students in Beijing needs to be significantly improved. School stage, gender, region and caregiver s education level are associated factors.

Objective:To investigate the detection status and genotypes distribution characteristics of norovirus(NoV)in environmental sewage from three monitoring points in Fujian province, and to explore the significance of its application to NoV monitoring.Methods:Sewage samples were collected monthly at 5 sampling sites in representative monitoring cities, enriched and concentrated. Partial gene fragments of norovirus VP1 were amplified by reverse transcription-semi nested polymerase chain reaction (RT-snPCR), TA cloned and sequenced. Genotypes were identified based on the sequencing.Results:A total of 56 sewage samples were collected from July 2022 to June 2023. The detection rates of GⅠ and GⅡ were 89.29% (50/56) and 94.64% (53/56), respectively. A total of 7 NoV GⅠ genotypes and 13 GⅡgenotypes were identified. GⅠ.1, GⅠ.4, GⅡ.4 and GⅡ.17 were the dominant genotypes. NoV genotypes detected in different sampling sites were not exactly the same. The detection rate of NoV was low from August to November 2022, and the prevalence of the dominant genotypes was different in different seasons. GⅠ.1 and GⅡ.4 were highly prevalent from August to November 2022, but were replaced by GⅠ.4 and GⅡ.17 from December 2022 to June 2023, respectively. More NoV genotypes were detected in January-June 2023, comparing to the July-December 2022. The dominant genotype GII.17, has multiple clades and new variants have been discovered that are different from the 2014/2015 circulating strains.Conclusions:The detection rates of NoV in environmental sewage were very high, and genotypes were diverse. Environmental sewage surveillance could be an important complementary method for NoV cases surveillance.

Objective:To explore the risk factors of neck work-related musculoskeletal disorders (WMSDs) among automobile manufacturing enterprise workers, and construct the risk prediction model.Methods:In May 2022, a cluster convenience sampling method was used to selet all front-line workers from an automobile manufacturing factory in Xiangyang City as the research objects. And a questionnaire survey was conducted using the modified Musculoskeletal Disorders Questionnaire to analyze the occurrence and exposure to risk factors of neck WMSDs. Logistic regression was used to analyze the influencing factors of workers' neck WMSDs symptoms, and Nomogram column charts was used to construct the risk prediction model. The accuracy of the model was evaluated by the receiver operating characteristic (ROC) curve, the Bootstrap resampling method was used to verify the model, Hosmer-Lemeshow goodness of fit test was used to evaluate the model, and the Calibration curve was drawn.Results:A total of 1783 workers were surveyed, and the incidence of neck WMSDs symptoms was 24.8% (442/1783). Univariate logistic regression showed that age, female, smoking, working in uncomfortable postures, repetitive head movement, feeling constantly stressed at work, and completing conflicting tasks in work could increase the risk of neck WMSDs symptoms in automobile manufacturing enterprise workers ( OR=1.37, 95% CI: 1.16-1.62; OR=2.85, 95% CI: 1.56-5.20; OR=1.50, 95% CI: 1.18-1.91; OR=1.18, 95% CI: 1.02-1.37; OR=1.34, 95% CI: 1.04-1.72; OR=1.62, 95% CI: 1.21-2.17; OR=1.48, 95% CI: 1.13-1.92; P<0.05). While adequate rest time could reduce the risk of neck WMSDs symptoms ( OR=0.56, 95% CI: 0.52-0.86, P<0.05). The risk prediction model of neck WMSDs of workers in automobile manutacturing factory had good prediction efficiency, and the area under the ROC curve was 0.72 (95% CI: 0.70-0.75, P<0.001) . Conclusion:The occurrence of neck WMSDs symptoms of workers in automobile manufacturing factory is relatively high. The risk prediction model constructed in this study can play a certain auxiliary role in predicting neck WMSDs symptoms of workers in automobile manufacturing enterprise workers.

Objective:To explore the risk factors of neck work-related musculoskeletal disorders (WMSDs) among automobile manufacturing enterprise workers, and construct the risk prediction model.Methods:In May 2022, a cluster convenience sampling method was used to selet all front-line workers from an automobile manufacturing factory in Xiangyang City as the research objects. And a questionnaire survey was conducted using the modified Musculoskeletal Disorders Questionnaire to analyze the occurrence and exposure to risk factors of neck WMSDs. Logistic regression was used to analyze the influencing factors of workers' neck WMSDs symptoms, and Nomogram column charts was used to construct the risk prediction model. The accuracy of the model was evaluated by the receiver operating characteristic (ROC) curve, the Bootstrap resampling method was used to verify the model, Hosmer-Lemeshow goodness of fit test was used to evaluate the model, and the Calibration curve was drawn.Results:A total of 1783 workers were surveyed, and the incidence of neck WMSDs symptoms was 24.8% (442/1783). Univariate logistic regression showed that age, female, smoking, working in uncomfortable postures, repetitive head movement, feeling constantly stressed at work, and completing conflicting tasks in work could increase the risk of neck WMSDs symptoms in automobile manufacturing enterprise workers ( OR=1.37, 95% CI: 1.16-1.62; OR=2.85, 95% CI: 1.56-5.20; OR=1.50, 95% CI: 1.18-1.91; OR=1.18, 95% CI: 1.02-1.37; OR=1.34, 95% CI: 1.04-1.72; OR=1.62, 95% CI: 1.21-2.17; OR=1.48, 95% CI: 1.13-1.92; P<0.05). While adequate rest time could reduce the risk of neck WMSDs symptoms ( OR=0.56, 95% CI: 0.52-0.86, P<0.05). The risk prediction model of neck WMSDs of workers in automobile manutacturing factory had good prediction efficiency, and the area under the ROC curve was 0.72 (95% CI: 0.70-0.75, P<0.001) . Conclusion:The occurrence of neck WMSDs symptoms of workers in automobile manufacturing factory is relatively high. The risk prediction model constructed in this study can play a certain auxiliary role in predicting neck WMSDs symptoms of workers in automobile manufacturing enterprise workers.

Objective:To analyze the distribution of different SF3B1 genotypes in patients with myelodysplastic syndromes (MDS) and its prognostic value.Methods:Totally, 377MDS patients who were initially diagnosed in the First Affiliated Hospital of Nanjing Medical University from January 2014 to January 2022 were included in the retrospective analysis.The patients were divided into three different groups according to mutation stcote of SF3B1, including 317 patients with SF3B1 wild type (SF3B1 WT) (214 males and 103 females, 63(49, 71) years old),39 patients with SF3B1 K700E mutation(SF3B1 K700E(17 males and 22 females, 65(52, 73)years old)) and 21 patients with SF3B1 non-K700E mutation(SF3B1 non-K700E)(13 males and 8 females, 67(63, 73) years old). MDS-related 20 gene mutations were detected using targeted sequencing technology; Survival curves were constructed by the Kaplan-Meier method; Cox proportional hazards model was established to evaluate different factors at diagnosis on survival by univariate and multivariate analyses.. Results:Compared with SF3B1 non-K700E patients, SF3B1 K700E patients had a higher median absolute neutrophil count ( P=0.002) and were likely to be in the low/int-1 International Prognostic Scoring System (IPSS) categories ( P=0.023). A 20-gene targeted sequencing analysis showed that, compared with SF3B1 WT patients, SF3B1 K700E patients were associated with lower frequency of ASXL1 and U2AF1 mutations ( P=0.018 and P=0.003); while compared with SF3B1 non-K700E patients, the frequency of ASXL1 mutation was significantly lower in SF3B1 K700E cases ( P=0.029). Patients with SF3B1 K700E had better overall survival (OS) in comparison with SF3B1 WT and SF3B1 non-K700E in MDS patients ( P<0.001 and P=0.045, respectively). In comparison with SF3B1 WT patients, SF3B1 MUT patients had more favorable OS and progression-free survival (PFS) in MDS without excess blasts ( P<0.001 and P<0.001, respectively), but no significant difference was found in MDS with excess blasts ( P>0.05). Compared with SF3B1 WT patients, SF3B1 K700E patients had superior OS and PFS in the int-1 IPSS category ( P=0.010 and P=0.013, respectively). By multivariable analysis, the presence of SF3B1 K700Ewas an independent predictor of superior OS ( HR=0.461,95% CI 0.262-0.811, P=0.007). Conclusion:SF3B1 K700E and SF3B1 non-K700E patients had significantly improved OS in comparison with SF3B1 WT MDS patients. Furthermore, SF3B1 K700E patients were associated with a better OS compared with SF3B1 non-K700E MDS patients. SF3B1 mutation could not overcome the poor prognostic effect of excess blasts, which highlights the importance of the SF3B1 mutation subtype in risk assessment of MDS without excess blasts.

Objective:To investigate the clinical significance of cc-chemokine receptor 7 (CCR7) as a potential diagnostic or differential marker for chronic lymphocytic leukemia (CLL).Methods:A total number of 643 patients with B-cell chronic lymphoproliferative diseases (B-CLPD) admitted to the First Affiliated Hospital of Nanjing Medical University from January 2015 to December 2018 were enrolled. The patients included 327 cases of CLL, 58 cases of mantle cell lymphoma (MCL), 34 cases of follicular lymphoma (FL), 36 cases of marginal zone lymphoma (MZL), 10 cases of hair-cell leukemia or its variants (HCL/HCLV-v), 40 cases of Waldorf′s macroglobulinemia (WM), 48 cases of CD5 +B-cell chronic lymphoproliferative disease unclassified (B-CLPD-U) and 90 cases of CD5 -B-CLPD-U. At the same time, 20 samples from healthy people from the medical examination center of our hospital were used as normal controls. Flow cytometry was used to detect the immune-phenotype and CCR7 expression level in B-CLPD patients, and Fluorescence in situ hybridization (FISH) was used to analyze the genomic alterations: the ataxia telangiectasia mutant gene (ATM) deletion, the 13q14 deletion, the P53 deletion and trisomy 12. Sanger sequencing was used to analyze gene mutations of splicing factor 3B subunit 1 (SF3B1), NOTCH1, tumor protein 53 (TP53) and immunoglobulin heavy chain variable region (IGHV). Measurement data were compared by Mann-Whitney test, and the positive rates were compared by chi-square test. The diagnostic value and optimal positive cutoff value of CCR7 were calculated using receiver operating characteristic (ROC) curve. Results:The positive rates of CCR7 expression in typical CLL and atypical CLL were 90.8% (257/283) and 84.1% (37/44), respectively, and there was no significant difference of the positive rates (χ 2=1.228, P=0.268) between groups. The positive expression rates of CCR7 in CLL, MCL, CD5 +B-CLPD-U, CD5 -B-CLPD-U, FL, WM, HCL/HCL-v and MZL were 89.9% (294/327), 10.3% (6/58), 6.3% (3/48), 8.9% (8/90), 0, 0, 0 and 13.9% (5/36) respectively, and the median mean fluorescence intensity (MFI) was 278 (246, 307), 114 (106, 128), 112 (106, 117), 110 (104, 121), 108 (105, 119), 111 (105, 124), 112 (108, 115) and 109 (105, 120) respectively. Compared with CLL, the positive expression rates of CCR7 in other types of B-CLPDs were lower significantly (χ 2=181.3, 177.8, 232, 164.7, 180.8, 62.6, 129, P<0.01). In addition, the sensitivity, specificity and accuracy of CCR7 for distinguishing CLL from other types of B-CLPD were 89.9%, 93.0% and 92.3%, respectively. The positive expression rate of CD49d in CCR7 +CLL patients was 13.9%, which was significantly lower than that in CCR7 -CLL patients (42.1%) (χ 2=7.6, P=0.01). The coincidence rate of 13q14 deletion was 50.3% in CCR7 +CLL patients, which was significantly higher than that in CCR7 -CLL patients (20%) (χ 2=6.56, P=0.01). Conclusions:The CC-chemokine receptor 7 (CCR7) antigen is an effective marker for the diagnosis and identification of chronic lymphocytic leukemia (CLL). The expression level of CCR7 in clinical specimens can distinguish CLL from other pathological subtypes of B-CLPDs.