Objective To investigate the effect of low sound pressure level infrasound on che-mokine-mediated inflammatory response in spinal cord in rats with neuropathic pain.Methods Seven-ty-two healthy male SD rats were randomly divided into sham operation group (group Sham),neuro-pathic pain group (group NP)and low sound pressure level infrasound intervention group (group LNP),24 in each.The sciatic nerve injury models were established.3 d after the model constructed, the rats in group LNP started to receive low sound pressure level infrasound therapy,4 h per day, continued for 21 d.1 d before surgery (T0 )and 3 d after surgery (T1 ),all rats were detected me-chanical paw withdrawal threshold (MWT).Respectively,after treated for 7 d (T2 ),14 d (T3 )and 21 d (T4 ),eight rats were randomly selected from each group and their MWT was measured.The ex-pressions of MCP-1 mRNA,CCR2 mRNA,TNF-αmRNA,IL-1βmRNA,and IL-6 mRNA in spinal cord in rats were detected using quantitative PCR,the expressions of MCP-1 protein and CCR2 protein in spinal cord in rats were detected by using Western blot.Results MWT in groups NP and LNP at T1-T4 was lower than that of group Sham,and that in group LNP at T3-T4 were higher than that of group NP,respectively (P <0.05).Compared with group Sham,the relative expression levels of MCP-1 mRNA,CCR2 mRNA,TNF-αmRNA,IL-1βmRNA,and IL-6 mRNA in spinal cord tis-sues in groups NP and LNP at T2-T4 were increased (P <0.05);compared with group NP,the rela-tive expression levels of MCP-1 mRNA,CCR2 mRNA,TNF-αmRNA,IL-1βmRNA,and IL-6 mR-NA in spinal cord were decreased in group LNP at T3-T4 (P <0.05 ).Western blot analysis showedthat the relative expression levels of MCP-1 protein and CCR2 proteinin spinal cord in groups NP and LNP at T2-T4 were higher than that of group Sham,while relative expression levels of MCP-1 protein and CCR2 proteinin spinal cord in group LNP at T3-T4 were lower than that of group NP. Conclusion The low sound pressure level infrasound could effectively reduce neuropathic pain in rats, possibly via inhibiting chemokine-mediated cascade inflammatory reaction.

Objective To observe the migration and inhibition mechanism of MicroRNA218-Robo1 pathway for breast cancer.Methods A total of 40 BALB/c-nu/nu female mice were randomly divided into four groups.Each group was transfected over-expression MicroRNA218 MDA-MB-231 breast cancer cells, co-over-expression MicroRNA218 and Robo1 MDA-MB-231 breast cancer cells, knock-down Robo1 MDA-MB-231 breast cancer cells and the control MDA-MB-231 breast cancer cells.The tumor volume was examined every two weeks.Results Tumor volume of MicroRNA218 group was obviously less than control group, tumor volume of Robo1 knock out group was obviously less than common MicroRNA218 high expression and Robo1 group, the difference was statistically significant;MicroRNA218 and Robol knockout group than the control group, the increase in breast cancer cells apoptosis, cell proliferation and angiogenesis is restrained.Conclusions MicroRNA218 inhibited the migration of breast cancer by down-regulating the expression of Robo1.

Objective: To explore the cytopathologic features and differential diagnostic essentials of the lung mucosa-associated lymphoid tumor(MALT).Methods: The fine needle aspiration(FNA) tissues and bronchi smears of 4 cases of MALT were examined by cytology,histology and immunohistochemistry respectively.Results: Cytologically,3 of the 4 cases were definitely diagnosed as lymphoid tumor and 1 suspected of small cell undifferentiated carcinoma,while histopathologically,all were diagnosed as MALT.The neoplastic cells were positive for CD20 and CD79a,but negative for CD3,CD5,CD10,CD45RO,CKpan and EMA.Conclusion: MALT is a rare pulmonary lymphoma difficult to be diagnosed.The definite diagnosis of pulmonary MALT depends on the cytology of FNA and bronchi smears,histopathology,and immunohistochemistry.

Objective: To understand the early life factors that influence cardiometabolic risk factors in children and adolescents, so as to provide effective measures to curb cardiometabolic risk factors such as hypertension and diabetes in children and adolescents. Methods: Data were sourced from the 2020 follow up survey of the Xiamen Adolescent Development Cohort. The study involved 1 197 subjects for whom completed anthropometric examination and blood biochemistry testing data, as well as early life data. Early life and sociodemographic data were obtained through questionnaire surveys, while cardiometabolic indicator data were sourced through physical examinations and blood testing. Logistic regression analysis was performed to analyze the impact of early life factors on the cardiometabolic risk factors after adjusting for gender, age, and family history. Results: The prevalence rate of cardiometabolic risk factors clustering in children and adolescents in Xiamen was 17.96%, with boys (26.67%) reporting higher rates than girls (9.64%), and the difference was statistically significant ( χ 2=57.69, P <0.01). For every additional early life risk factor, the risk factors of obesity increased 0.35 times ( OR=1.35, 95%CI=1.03-1.78, P <0.05). Post term pregnancy may be a primary early life risk factors for cardiometabolic risk factors, and it was associated with an increased risk of cardiometabolic risk factors clustering (OR=2.45, 95% CI =1.11-5.41) and high triglycerides ( OR=3.25, 95%CI =1.39-7.61)( P <0.05). Conclusion Increased cardiometabolic risk factors in youth is associated with early life adverse factors. It is crucial to pay greater attention to post term pregnancy as an early life factor and to consider obesity as a cardiometabolic risk factors. Controlling early life adverse factors is important for the prevention of cardiovascular disease.

Objective: To understand the current status of obesity and high blood pressure (HBP) comorbidity and their multidimensional influencing factors in children aged 7-12 years in Xiamen, so as to provide reference basis for subsequent preventive measures. Methods: Based on the baseline survey of the Xiamen pubertal development cohort in 2017, a total of 4 798 primary school students from second to sixth grade were selected in the study by cluster random sampling method. And physical examination and questionnaires were conducted. The Logistic regression was used to screen potential variables for obesity combined with HBP. A multivariate Logistic regression model was used to analyse the factors influencing obesity combined with HBP. Results: About 9.15 % children were found with obesity and 11.65% with HBP. The rate of obesity combined with HBP was 3.00% in boys and 1.80 % in girls. The rate of HBP was 8.28% in normal weight children and 26.88% in obese children. Multivariate Logistic regression models showed that consumption of sugary drinks at least once a week ( OR =2.50), daily consumption of salted or pickled vegetables ( OR =4.52), family history of obesity ( OR =3.09) were positively associated with obesity combined with HBP ( P <0.05). Girls ( OR =0.53), consumption of highenergy snacks at least once a week ( OR =0.40) and adequate physical activity ( OR =0.58) were negatively associated with comorbidity of obesity and HBP ( P <0.05). Conclusion Gender differences in comorbidity burden of obesity and HBP exist among children aged 7-12 years in Xiamen. Dietary behaviour and exercise behaviour are the main dimensions influencing the comorbidity of obesity and HBP. Prevention and control of obesity and HBP in children should be based on multiple dimensions, including diet and exercise behavioural environment, to prevent early the occurrence for comorbidity of obesity and HBP in children.

Objective: To analyze the association between sleep duration and social anxiety in Chinese children and adolescents to provide evidence for promoting healthy lifestyle and mental health in children and adolescents. Methods: A total of 1 145 children and adolescents aged 7-16 were recruited by cluster random sampling in Beijing in 2020, and received a series of body measurements and questionnaire survey. Social Anxiety Scale for Children (SASC) and Pittsburgh Sleep Quality Index (PSQI) were used to evaluate the social anxiety symptoms and sleep duration of children and adolescents. T test was used to compare the differences of social anxiety level in different groups, and multivariate linear regression analysis was used to analyze the relationship between sleep duration and social anxiety. Results: The average score of social anxiety was (5.47±4.18). The social anxiety score of girls, participants aged 13-16, with insufficient physical activity and insufficient sleep duration were higher ( t =-4.34, -6.14, 3.35, 2.93, P < 0.05). The results of multivariate linear regression model showed that after adjusting confounding factors, social anxiety decreased by 0.78 for each additional hour of sleep duration ( β =-0.78, 95% CI =-1.03--0.54, P <0.01), with 0.60 in boys (95% CI = -0.95 --0.25), 0.90 in girls (95% CI =-1.24--0.56), 0.75 among participants aged 7-12 (95% CI =-1.11--0.40) and 0.76 among participants aged 13~16 (95% CI =-1.11--0.41)( P <0.01), respectively. Social anxiety among participants who were not over weight or obese decreased by 0.78(95% CI =-1.09--0.48) and 0.81 among overweight and obese group (95% CI =-1.22- -0.41 )( P <0.01) for each additional hour of sleep duration, respectively. Conclusion Substantial differences in social anxiety are observed in children and adolescents by gender, age group and nutritional status. Sufficient sleep duration is significantly related to the decrease of social anxiety, and improve the overall level of student mental health.

Objective: To explore the association between digital devices usage and body weight overestimation in children and adolescents aged 7-18, in order to provide a scientific basis for body weight overestimation prevention in children and adolescents. Methods: Based on the data of the Research Special Project for Public Welfare Industry of Health using stratified cluster sampling method in 2012, a tatal of 40 073 children and adolescents from 7 provinces with complete information were chosen. Ordinal multivariable Logistic regression model estimated the association between digital devices usage and body weight overestimation. Results: A total of 4 276(11.8%) students with overestimation of body weight were detected, who spent >300 min/d time in digital devices(5.12%) than others (3.84%)( χ 2=19.14, P <0.01). Univariate analysis showed that students with time spent on digital devices >300 min/d had a higher risk in overestimation of body weight ( OR=1.36,95%CI=1.18-1.57,P <0.01) compared with students who spent on digital devices≤120 min/d. There was still a significant association after confounder adjustment ( OR=1.28, 95%CI= 1.10-1.48,P <0.05). Stratified analysis showed that the association between digital devices usage and overestimation of body weight were only observed in girls, 11-18 years old and non single child( P <0.05). Conclusion The time usage of digital devices is associated with overestimation of body weight in children and adolescents. It may helpful for children and adolescents to prevent overestimation of body weight by reducing time spent on digital devices.

Objective:To investigate the relationship between the perineural invasion score based on multidetector computed tomography (MDCT) and extrapancreatic perineural invasion (EPNI) in pancreatic ductal adenocarcinoma (PDAC).Methods:The clinical, radiological, and pathological data of 374 patients pathologically diagnosed as pancreatic cancer who underwent radical resection in the First Affiliated Hospital of Naval Medical University from March 2018 to May 2020 were analyzed retrospectively. Patients were divided into EPNI negative group ( n=111) and EPNI positive group (n=263) based on the pathological presence of EPNI. The perineural invasion score was performed for each patient based on radiological images. Univariate and multivariate logistic regression models were used to analyze the association between the perineural invasion score based on MDCT and EPNI in PDAC. Results:There were significant statistical differences between EPNI negative group and positive group on both pathological characteristics (T stage, N stage, invasion of common bile duct, and positive surgical margin) and radiological characteristics (tumor size, vascular invasion, lymph node metastasis, perineural invasion score based on MDCT, pancreatic border, parenchymal atrophy, invasion of duodenum, invasion of spleen and splenic vein and invasion of common bile duct) (all P value <0.05). Univariate analysis revealed that the tumor size, vascular invasion, lymph node metastasis, perineural invasion score based on MDCT, pancreatic border, pancreatic atrophy, invasion of duodenum, invasion of spleen and splenic vein and invasion of common bile duct were independently associated with EPNI. Multivariate analyses revealed that the perineural invasion based on MDCT was an independent risk factor for EPNI in pancreatic cancer (score=1, OR=2.93, 95% CI 1.61-5.32, P<0.001; score=2, OR=5.92, 95% CI 2.68-13.10, P<0.001). Conclusions:The perineural invasion score based on MDCT was an independent risk factor for EPNI in pancreatic cancer and can be used as an evaluation indicator for preoperative prediction of EPNI in PDAC.

Objective:To explore the multimorbidity patterns in older inpatients adults, and their differences between Northern and Southern China.Methods:A total of 4 348 elderly patients aged 60 and above from the geriatrics departments of 12 grade A tertiary hospitals in 7 cities in China were investigated.Factor analysis was used to explore the comorbidity patterns and analyze the differences in comorbidity patterns between Southern and Northern China.Results:The study population consisted of 4 348 patients over the age of 60, with an average age of(74.15±8.01)years.The total sample had a Kaiser-Meyer-Olkin(KMO)sampling adequacy index of 0.657 and a cumulative variance percentage of 43.97%.Factor analysis revealed there were five major multimorbidity patterns in the patients.These were: the metabolic pattern; the liver-kidney pattern; the degenerative pattern; the neuropsychiatric pattern; dementia.Further factor analysis for the South and the North was conducted.Older inpatients in Southern regions had a KMO sampling adequacy index of 0.654 and a cumulative variance percentage of 43.50%.In Southern China, the multimorbidity patterns were similar to the overall patterns.In Northern regions, older inpatients had a KMO sampling adequacy index of 0.648 and a cumulative variance percentage of 45.16%.The liver-kidney pattern, metabolic disease pattern, lung-dementia pattern, degenerative disease pattern, and neuropsychiatric pattern were the main multimorbidity patterns in Northern China.Conclusions:Multimorbidity patterns were different between Northern and Southern China and should be differentiated in their management.In the North, older adults should pay more attention to the prevention and management of respiratory system diseases and dementia, while in the South, older adults should pay more attention to the prevention and management of degenerative disease.Early disease prevention based on multimorbidity patterns is one of the approaches to the reduction of chronic diseases in older adults.

Objective: To investigate the prevalence of Internet addiction and depression of students, and to analyze the co-occurrence and trend, so as to provide a theoretical basis for prevention and controlling measures of Internet addiction and depression. Methods: A total of 6 317,7 152,81 808,71 180 and 89 932 students aged 10 to 24 years from 12 leagues (103 banners) in Inner Mongolia Autonomous Region were selected by stratified random cluster sampling in September each year from 2017 to 2021. The Internet Addiction Scale and the Central for Epidemiologic Studies Depression Scale(CES-D) was used to measure Internet addiction and depression. And the annual inspection rate, group difference and annual change trend in students were calculated. Multivariate linear regression and restricted cubic spline analysis were used to estimate the linear and non linear associations between Internet addiction and depression in students. Results: The Internet addiction proportion in students gradually decreased from 4.1% in 2017 to 2.1% in 2020, but increased to 3.9% in 2021. And the depressive symptoms proportion increased from 20.9% in 2017 to 28.0% in 2020 and 27.0% in 2021. The detection rate of Internet addiction and depression comorbidities remained at 1.8% to 2.5 %. The Internet addiction proportion in boys was higher than that in girls( χ 2=42.82， P <0.05). The depressive symptoms prevalence in girls was higher than that in boys( χ 2= 553.90， P <0.05). Taking reversal in prevalence of Internet addiction in urban and rural areas was observed in 2019. The detection rates of depressive symptoms and comorbidity were higher in urban areas than these in suburban counties on the whole, and the difference showed a trend of decreasing or even equalizing year by year. Internet addiction was positively correlated with depressive symptoms score ( B=1.67, 95%CI =1.64-1.71), the proportion of depressive symptoms ( OR=1.39, 95%CI =1.38-1.41) and the proportion of major depressive symptoms ( OR=1.35, 95%CI =1.33-1.36) among students in 2021 ( P <0.05). An N-shaped curve was found in the significant nonlinear associations between internet addiction and depression across sex, region and school stage. Conclusion Internet addiction and depression in students show significant linear and non-linear associations, which are consistent in different sexes, regions and school stages. Therefore, relevant measures should be made and implemented in each region, especially in suburb areas, so as to prevent the increasingly development of adolescents and children s Internet addiction and depression.