Objective: To analyse associated factors of campus bullying in schools, and to construct a nomogram model to predict the risk of campus bullying, so as to provide a theoretical basis for campus bullying prevention and control. Methods: In September 2023, 89 117 middle and high school students were selected by stratified cluster random sampling method within 12 cities (103 counties) in Inner Mongolia, and were surveyed with self administered questionnaire. Among them, there were 62 381 participants in the training set and 26 736 participants in the testing set. Statistical analysis was conducted using χ 2 test and multiple Logistic regression, and a nomogram model was drawn for predicting campus bullying. Results: The prevalence of campus bullying was 3.49%. Living in a suburban county, living in an unstable family, not the only child, having a father with a college degree or above, sometimes or never eating breakfast, being overweight or obese, living on campus, being scolded by parents in the past 30 days, smoking, Internet addiction, experiencing depression, anxiety symptoms, recreational soluble solvents use, cough medicine abuse, nonprescribed use of sedatives were all positively correlated with campus bullying ( OR =1.18, 1.40, 1.12, 1.33, 1.13, 1.72 , 1.12, 1.17, 1.82, 1.32, 1.83, 3.92, 2.40, 2.25, 1.51, 1.63, P <0.01).There were a negative correlation between high school students, female students, and the number of physical education classes per week (2-3, ≥4) with campus bullying ( OR =0.67, 0.58, 0.72, 0.83, P <0.01). The prediction model of campus bullying risk was established by nomogram model. The area under curve (AUC) was 0.82, and the calibration curve showed that the predicted value was close to the actual value. Conclusions Bullying among middle and high school students are related to family intimacy, poor daily behaviour and psychological factors. Targets of bullying intervention in schools should be identified, and preventive and control measures against bullying in secondary schools should be formulated, so as to reduce the occurrence of campus bullying.

Objective:To explore the effect of behavioral habits on the recovery of spinal cord function in patients with cervical spondylotic myelopathy after expansive open-door laminoplasty(ELAP).Methods:Retrospective analysis of clinical data of 183 patients with cervical spondylotic myelopathy who underwent ELAP at the Spinal Surgery Department of Jining Medical University Affiliated Hospital, from February 2019 to October 2022, with complete follow-up information. General clinical data of patients were collected. The patients were followed up at 3 months, 6 months and 12 months after surgery with the modified standard MacNab.The JOA score was used to evaluate the recovery of motor and sensory functions in patients before and 12 months after surgery. The recovery rate of spinal cord function was calculated based on the JOA score, and patients were divided into two groups: the group with good therapeutic effect ( n=143, recovery rate ≥ 50%) and the group with poor therapeutic effect ( n=40, recovery rate<50%). Data statistics were conducted using SPSS 20.0 software for chi-square test, rank sum test, t-test, and Logistic regression analysis. Results:There were significant differences in age ( t=-3.252, P<0.01), smoking ( χ2=21.503, P<0.01), body mass index(BMI) ( t=-5.885, P<0.01), hypertension ( χ2=20.263, P<0.01), coronary heart disease ( χ2=13.272, P<0.01), hospitalization time ( t=-2.278, P=0.02), desk and screen time ( t=-6.589, P<0.01), and frequency of rehabilitation exercise ( χ2=10.927, P<0.01) between the group with good therapeutic effect and the group with poor therapeutic effect. Further multivariate Logistic regression analysis showed that smoking ( B=2.402, OR=11.046, 95% CI=2.334-52.285, P<0.05), high BMI ( B=0.341, OR=1.406, 95% CI=1.076-1.837, P<0.05), hypertension ( B=2.238, OR=9.370, 95% CI=2.153-40.790, P<0.05), long desk and screen time ( B=0.961, OR=2.613, 95% CI=1.540-4.435, P<0.05) and low frequency of rehabilitation exercise ( B=-1.039, OR=0.354, 95% CI=0.201-0.623, P<0.05) were risk factors for spinal cord function recovery in patients with cervical spondylotic myelopathy after ELAP( P<0.05). Conclusion:Smoking, high BMI, hypertension, long desk and screen time, and low frequency of rehabilitation exercise are not adverse to the recovery of neurological function in patients with cervical spondylotic myelopathy after ELAP.

Humans ; Fibrosarcoma/surgery* ; Sarcoma ; Temporal Bone ; Soft Tissue Neoplasms/surgery*

Objective: To investigate the incidence of abnormal spinal curvature and related factors among middle school students in the Inner Mongolia Autonomous Region, so as to provide evidence for abnormal spinal curvature prevention and treatment. Methods: By using a random stratified cluster sampling method, 87 908 students of middle and high school students from all 12 counties(districts) were investigated via questionnaires for abnormal spinal curvature and health influencing factors in Inner Mongolia Autonomous Region. Chi square test was used to perform demographic characteristics and univariate analysis, and binary multivariate Logistic regression model was used to screen the risk factors for spinal curvature abnormalities in middle school students. Results: A total of 3 131(3.56%) students with spinal curvature abnormalities were detected, with boys (3.69%) higher than that of girls(3.44%), urban areas (6.15%) higher than that of the suburban counties (2.50%), and high school students ( 4.97 %) higher than that of junior high school(2.73%) students( χ 2=4.01, 702.19, 299.36, P <0.05). The detectable rate of spinal curvature abnormalities increased with grade ( χ 2 trend =309.29, P <0.05). Logistic regression analysis showed that factors influencing abnormal spinal curvature included myopia, overweight, obesity, the frequency of classroom seating arrangements, time spent on homework/reading after school every day, time spent in daytime outdoor activities, self imposed requirements for posture of sitting and standing, phase of studying, gender, and area ( OR =0.53-2.55, P <0.05). Conclusion Abnormal spinal curvature is strongly correlated to nutritional status, myopia, sitting posture when reading and writing, sedentary time, and time spent in outdoor activities. The collaboration of multiple departments is required to establish anenvironment to protect the spine, early detection and early intervention.

COVID-19 epidemic continues to spread around the world till these days, and it is urgent to develop more safe and effective new drugs. Due to the limited P3 biosafety laboratories for directly screening inhibitors of virulent viruses with high infectivity, it is necessary to develop rapid and efficient screening methods for viral proteases and other related targets. The main protease (M^pro), which plays a key role in the replication cycle of SARS-CoV-2, is highly conserved and has no homologous proteases in humans, making it an ideal target for drug development. From two different levels, namely, molecular level and cellular level, this paper summarizes the reported screening methods of SARS-CoV-2 M^pro inhibitors through a variety of representative examples, expecting to provide references for further development of SARS-CoV-2 M^pro inhibitors.

Objective: To understand the current situation and influencing factors of scoliosis in 12-year-old students from Inner Mongolia Autonomous Region, so as to provide scientific basis for accurate prevention and control of abnormal spinal curvature. Methods: From October to November 2021, a total of 18 399 students aged 12 were selected by region and school level by stratified random cluster sampling method, and spinal curvature screening and questionnaire survey of common diseases and health influencing factors among students were carried out. Chi squared test was used for single factor analysis, and binary Logistic regression model was used for multi factor analysis. Results: A total of 397 students (2.2%) were detected with abnormal curvature of the spine, including 368 students (2.0%) with scoliosis. Among them, 205 cases were in the lumbar thoracic segment with a detection rate of 1.1%, 173 cases were in the thoracic segment with a detection rate of 0.9%, and 141 cases were in lumbar thoracic segment with a detection rate of 0.8%. Binary Logistic regression analysis showed that urban area, economic area(moderate), attending tutorial classes before primary school and class seats never changed regularly were positively correlated with the occurrence of scoliosis among 12 year old students ( OR =1.95,1.67,1.76,1.71, P <0.05). Obesity, attending an average of 3 or 4 physical education classes per week, attending physical fitness and beauty classes before primary school were negatively correlated with the occurrence of scoliosis among 12 year old students ( OR =0.69,0.31,0.36,0.71, P <0.05). Conclusion The prevalence of scoliosis among 12-year-old students in Inner Mongolia Autonomous Region is not optimistic. It should pay attention to the prevention and control of scoliosis in students before the age of 12, actively prevent the occurrence and progress of scoliosis.

As a common protease with high similarity among coronavirus species, the main protease (M^pro) of SARS-CoV-2 is responsible for the catalytic hydrolysis of viral precursor proteins into functional proteins, which is essential for coronavirus replication and is one of the ideal targets for the development of broad-spectrum antiviral drugs. This paper reviews the main protease inhibitors of SARS-CoV-2, including their molecular structures, potencies and drug-like profiles, binding modes and structure-activity relationships, etc.

Objective: To analyze the prevalence trend of scoliosis among myopic students in Inner Mongolia Autonomous Region during 2019-2022, to explore the common etiology of myopia and scoliosis co-morbidities, so as to provide a reference for the development of relevant measures. Methods: The method of stratified random cluster sampling was used to select 181 533, 141 552 , 200 987, 190 918 primary and secondary school students from 12 leagues(103 banners) in Inner Mongolia Atuonomous Region in September each year from 2019 to 2022. And scoliosis screening, vision examination and questionnaire survey were conducted among students in the included studies. The χ 2 test was used to analyze the data, and the binary multivariate Logistic regression model was used to screen the influencing factors of scoliosis and myopia co-morbidities. Results: From 2019 to 2022, the myopia rate of primary and secondary school students in Inner Mongolia Autonomous Region was 55.55%-59.72%, scoliosis rate was 1.56 %-2.81% and the rates of scoliosis and myopia co-morbidities were 1.14%-1.95%, and the difference between different years was statistically significant ( χ 2=595.01, 775.56, 461.84, P < 0.05 ). In 2022, the co-morbidity rate was higher in girls than in boys(1.32% vs 0.97%), the rate of urban areas was higher than that of rural areas(2.57% vs 0.62%), the rate of students in vocational high school and high school was higher than that in junior high school and primary school (3.82%,2.47% vs 1.70%,0.42%), the rate of over developed areas was higher than that of poor areas (1.21% vs 0.99%)( χ 2=52.19, 1 269.82, 1 361.52, 17.29, P < 0.05 ). Logistic regression analysis showed that at least 1 h of moderate and high intensity exercise every day on weekends, the number of physical education classes per week was more than 3 sessions, the height of desks and chairs was adjusted according to height, resting outdoors, limiting screen time, and strictly requiring standing and sitting posture were the negative correlated with scoliosis and myopia, and the OR value was 0.65-0.90, reading books or electronic screens while participating in cram classes, walking or riding in the car were positively correlated with comorbid scoliosis and myopia, and the OR values were 1.27 and 1.13 ( P < 0.05), respectively. Conclusion Behavioral habits severely affect scoliosis and myopic of students. Prevention and control of scoliosis and myopia co-morbidity should start with students behavioral habits, early screening and early intervention.

Objective: To analyze the prevalence of overweight, obesity and depression among students in the Inner Mongolia Autonomous Region in 2019-2022 and explore the relevant factors affecting the co-morbidity of overweight,obesity and depression among students, so as to provide scientific basis for the prevention of co-morbidity. Methods: From September 2019 to 2022, used stratified random cluster sampling, 90 519,71 560,90 079,91 089 students were selected from all 12 leagues in Inner Mongolia Autonomous Region for questionnaire survey and physical examination. The χ 2 test was used for demographic characteristics and univariate analysis, and a binary Logistic regression model was used to explore the association between lifestyle behaviors and co-morbidity. Results: The detection rate of overweight,obesity among students from 2019-2022 was 29.21%,34.38%,35.20%,34.61%, the detection rate of depression was 18.35%，17.53%，16.43%，16.00%, and the co-morbidity detection rate of the two was 5.52%，5.93%，5.76%，5.46%. The number of overweight,obesity and depression co-morbidity students in 2022 was 4 978 students, and the co-morbidity detection rates of the students were significantly different in terms of the school segments and the family structures ( χ 2=103.51, 99.90, P <0.01). Multivariate Logistic regression analysis showed that consuming sugar sweetened beverages or fried food ≥1 time/d, sometimes or never eat breakfast, watching computer or TV ≥2 h/d, and less than 1 h of moderate-to-vigorous physical activity on weekends were positively correlated with the occurrence of the co-morbidity of overweight,obesity and depression, with the value of OR ranging from 1.17 to 1.59 ( P <0.05). Eated fresh fruits or drinking milk and soy milk ≥1 time/d, outdoor activities ≥1 h/d, sleep ≥8 h/d, not smoking and not drinking alcohol were negatively correlated with the occurrence of comorbid overweight,obesity and depression, with the value of OR ranging from 0.47 to 0.92 ( P < 0.05). Conclusion The occurrence of overweight,obesity and depressive symptoms co-morbidity in students is associated with dietary, exercise and lifestyle behavior. Targeted measures should be taken to maintain students healthy weight and prevent the occurrence of depression from the aspects of diet, exercise and life habits.

The purpose of this study was to systematically analyze the antidepressant mechanism of Chaigui granules from the perspective of biological metabolic network by using integrated metabolomics and biological network analysis tools. The model of chronic unpredictable mild stress (CUMS) depression rat was established, and LC-MS-based plasma metabolomics was used to identify the key metabolites and analyze metabolic pathways underlying the antidepressant effects of Chaigui Granules. The key metabolites regulated by Chaigui granules was integrated with biological network analysis tools to further focus on the key metabolic pathways and explore the potential targets of the antidepressant effect of Chaigui granules. The results showed that there were significant differences in the plasma levels of 20 metabolites in the model group compared with the control group (P < 0.05), Chaigui granules significantly regulated 12 metabolites including docosatrienoic acid, 3-hydroxybutyric acid, 4-hydroxybenzaldehyde, chenodeoxycholic acid, cholic acid, L-glutamine, glycocholic acid, linoleyl carnitine, L-tyrosine, N-acetylvaline, palmitoylcarnitine, arachidonic acid. Further network analysis of the key metabolites regulated by Chaigui granules indicated that plasma arachidonic acid metabolism might be the core pathway for the antidepressant effect of Chaigui granules, with 10 proteins were potential targets for the antidepressant effect of Chaigui granules, including CYP2B6, CYP2E1, CYP2C9, CYP2C8, PLA2G6, PTGS2, ALOX15B, PTGS1, ALOX12 and ALOX5. The animal experimental operations involved in this paper was followed the regulations of the Animal Ethics Committee of Shanxi University and passed the animal experimental ethical review (Approval No. SXULL2020028).