Objective: To analyze the prevalence trends of different types of elevated blood pressure and their association with nutritional status among primary and secondary school students in Inner Mongolia from 2019 to 2024, providing references for targeted prevention strategies. Methods: From September 2019 to 2024, a stratified random cluster sampling method was used to select 12 primary and secondary schools from each league city in Inner Mongolia Autonomous Region. A total of 177 108, 137 758, 190 182, 180 084 , 188 056, 180 351 primary and secondary school students (excluding grades one to three of primary school) were included for physical examination. The correlation between their nutritional status and high blood pressure was analyzed based on the basic situation of 129 821 primary and secondary school students who completed a questionnaire survey at the same time in 2024. Statistical analysis was conducted using a Chi-square test and multiple Logistic regression model. Results: From 2019 to 2024, the detection rates of elevated blood pressure were 13.60%, 13.68%, 17.60%, 17.24%, 14.77% and 15.96%, respectively. The rates for isolated systolic hypertension were 4.24%, 5.83%, 7.26%, 7.19%, 6.24% and 6.93%; isolated diastolic hypertension rates were 6.38%, 4.99%, 6.23 %, 6.41%, 5.39% and 5.66%; and combined systolic and diastolic hypertension rates were 2.97%, 2.86%, 4.11%, 3.65%, 3.14 % and 3.36%. Multivariate Logistic regression analysis showed that girls, junior high school, senior high school, overweight, and obesity were positively associated with elevated blood pressure risk ( OR =1.27, 1.25, 1.32, 1.66, 3.07, all P <0.05); conversely, county residence, Mongolian ethnicity, and other ethnicities showed negative associations ( OR =0.90, 0.93, 0.90, all P <0.05). Conclusions Overweight and obesity among children and adolescents are closely related to various types of elevated blood pressure. Prevention strategies should prioritize effectively controlling weight issues among children and adolescents, thereby effectively reducing the incidence of elevated blood pressure.

Objective: To understand the current status of malnutrition, depressive symptoms, and their coexistence among middle school students, so as to provide references for exploring the "comorbidity-common cause-common prevention" model for these conditions. Methods: In September 2023, a stratified random cluster sampling method was adopted to select 88 594 students from junior high schools, regular high schools, and vocational high schools in 12 leagues/cities (covering 103 banners/counties) of Inner Mongolia Autonomous Region. Physical examinations were conducted to collect data on malnutrition, and the Center for Epidemiologic Studies Depression (CES-D) Scale was used to assess depressive symptoms. The Chi-square test and multivariate linear stepwise regression analysis were employed to analyze the related factors of malnutrition, depressive symptoms, and their coexistence. Results: In 2023, the detection rates of malnutrition, depressive symptoms, and their coexistence among middle school students in Inner Mongolia were 4.60%, 21.85%, and 0.90%, respectively. There were statistically significant differences in the detection rates of malnutrition, depressive symptoms, and their coexistence among middle school students of different genders, monitoring sites (except for malnutrition), and school stages ( χ 2=4.95-817.39, all P <0.05). The results of the multivariate Logistic regression analysis showed that high school students，drink sugar sweetened beverages ≥1 time per day and those with Internet addiction had higher risk of coexisting malnutrition and depressive symptoms [ OR (95% CI )=1.38 (1.04-1.83), 1.46 (1.20-1.78), 2.28 (1.90-2.74), respectively, all P <0.05 ]. The risk of coexistence was lower among female students, those who ate fresh fruits at least once a day, those who engaged in moderate-to-vigorous physical activity for ≥1 time/day, those who engaged in moderate-to-vigorous physical activity for ≥1 hour/day on ≥5 days/week, those who did not use cough syrup without therapeutic need, those who did not use sedative hypnotic drugs without medical advice, and non-drinking students [ OR (95% CI )=0.84 (0.73-0.98), 0.77 (0.66-0.89), 0.82 (0.68-0.98), 0.66 (0.53- 0.80 ), 0.57 (0.41-0.78), 0.63 (0.53-0.72), respectively, all P <0.05]. Conclusions The occurrence of undernutrition, depressive symptoms, and their coexistence among middle school students in Inner Mongolia can t be ignored. Schools, the government and society should implement a strategy aimed at concurrent prevention of multiple conditions through comprehensive interventions.

Hepatocellular carcinoma (HCC) expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming. Aldolase A (ALDOA) plays a prominent role in glycolysis; however, little is known about its role in HCC development. In the present study, we aim to explore how ALDOA is involved in HCC proliferation. HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout, which is consistent with ALDOA overexpression encouraging HCC proliferation. Mechanistically, ALDOA knockout partially limits the glycolytic flux in HCC cells. Meanwhile, ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase; ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function. A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun, and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells. In HCC patients, the expression level of ALDOA was correlated with the phosphorylation level of c-Jun (Thr93) and poor prognosis. Remarkably, hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models, and the knockdown of A ldoa strikingly decreased HCC development in vivo. Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription, opening additional avenues for anti-cancer therapies.

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 current situation of Internet addiction among junior high school students in Inner Mongolia and its associated factors, so as to provide a theoretical basis for the prevention and control of Internet addiction among junior high school students. Methods: In September 2023, 53 755 junior high school students were selected by stratified cluster random sampling method from all the flag counties in Inner Mongolia, and questionnaires were administered according to the "Monitoring and Intervention Program of Common Diseases and Health Influencing Factors of Students, by using the Internet Addiction Inventory and Generalized Anxiety Disorder Scale-7 Item. The Chi test and multiple Logistic regression analysis were used to explore related factors and draw nomograms. Results: The reported rate of Internet addiction among junior high school students in Inner Mongolia was 2.15%. The results of multivariate Logistic regression analyses showed that students were more likely to be in higher grades (grade eight: OR =1.54; grade nine: OR =1.64), being scolded by their parents ( OR =1.06), living in the school ( OR =2.28), being bullied in the school ( OR =1.91), anxiety symptoms ( OR =3.15), and substance abuse (smoking: OR =2.56; drinking alcohol: OR =2.29; inhaling soluble solvents for pleasure: OR =2.17; using cough suppressant except for coughing: OR =1.50; using sedatives without doctor s permission: OR =1.34) were positively correlated with Internet addiction among junior high school students in Inner Mongolia ( P <0.05). The area under the curve was 0.819, and the calibration curve showed that the predicted values were basically consistent with the measured values. Conclusions Internet addiction among junior high school students in Inner Mongolia is related to students living environment and substance abuse behavior. Attention should be paid to the living environment of junior high school students and strengthen the preventive education of substance abuse in order to reduce the occurrence of Internet addiction among junior high school students.

Objective: To analyse the correlation between unhealthy lifestyles and anxiety symptoms among high school students in Inner Mongolia Region, so as to provide a scientific basis for the prevention of anxiety symptoms among high school students. Methods: From September to November 2023, 35 362 high school students were selected by stratified cluster random sampling method from 12 cities (103 counties) in Inner Mongolia Region, and the survey was conducted by using the questionnaire on student health status and influencing factors. The χ2 test and multivariate Logistic regression analyses were used to determine the influencing factors of anxiety symptoms. Results: The total number of students with anxiety symptoms was 2 747, and the detection rate of anxiety symptoms was 7.77%. The results of multivariate Logistic regression analyses showed that female students, father having higher education background, never eating breakfast, being overweight and obese, sleeping <8 h/d, being scolded by parents in the past 30 days, and depressive symptoms were positively correlated with the anxiety symptoms of the high school students (OR=1.31, 1.23, 1.53, 1.14, 1.22, 1.51,28.92); nonsmoking, having no alcohol consumption, no Internet addiction and no use of sedatives without doctors permission were all negatively correlated with anxiety symptoms of high school students (OR=0.84, 0.73, 0.57,0.40) (P<0.05). Conclusions Anxiety symptoms of high school students are closely related to unhealthy lifestyle. Measures should be taken to improve unhealthy lifestyle, so as to reduce the occurrence of anxiety symptoms in high school students.

Humans ; East Asian People ; Surveys and Questionnaires ; Vitiligo/epidemiology*

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 describe the current status of the prevalence of co-morbid myopia and obesity among 7-18 years students in the Inner Mongolia Autonomous Region in 2021 and to analyze the moderating effect of lifestyle in this association ，so as to provide scientific basis for the establishment of the mechanism of Co-morbidity，Shared Etiology，and Shared Prevention of common diseases in children and adolescents. Methods: A total of 139 630 primary and secondary school students aged 7-18 years from Inner Mongolia Autonomous Region were selected by stratified random cluster sampling method in September,2021. Myopia was determined using distance visual acuity examination and refractive error examination, and obesity was determined according to the BMI classification criteria for overweight, obesity screening of Chinese school age children and adolescents. Used a questionnaire, healthy lifestyles were determined according to the American Heart Association s Healthy Lifestyle Score by totaling the six scores for smoking, alcohol consumption, diet, exercise, screen time, and sleep duration.The χ 2 test was used to compare the association between group differences in the co-morbidity rate of myopia and obesity. The multivariable Logistic regression model was used to explore the influencing factors of the co-morbidity of myopia and obesity, and the stratified analysis was used to analyze the moderating effect of lifestyles on the prevalence of the co-morbidity. Results: The prevalence of myopia and obesity co-morbidity among students aged 7-18 years old in the Inner Mongolia Autonmous Region in 2021 was 13.7%, higher among boys than girls ( 15.5 % vs. 11.8%), higher among those aged 10-12 years old than 7-9,13-15,and 16-18 years old (14.7%,13.7%, 13.3%, 12.0%), higher among other ethnic minorities than Han Chinese and Mongolians (15.3%, 14.0%, 12.5%), higher in urban areas than that in suburban areas(15.3%, 13.0%), and middle economic level tracts were higher than poor and good tracts (14.8%, 12.9 %, 12.6%) ( χ 2=392.37，115.73，62.80，119.02，121.60, P <0.05). Multivariable Logistic regression modeling showed that unhealthy lifestyles ( OR=1.24, 95%CI=1.19-1.29 ) and middle level of lifestyle score ( OR=1.15, 95%CI=1.10-1.19 ) students had higher prevalence of co-morbidity, and the results were statistically significant among both boys and girls, the age groups of 10- 12, 13-15, and 16-18 years old, as well as the Han and Mongolian ethnic groups (all P <0.05). Conclusion In 2021, the current situation of myopia and obesity co-morbidity and unhealthy lifestyles among primary and secondary school students in the Inner Mongolia Autonomous Region are not optimistic.

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.