Objective: To explore the bidirectional associations among body mass index Z scores (BMI Z scores) and weight stigma with depressive symptoms in adolescents, thereby providing evidence for targeted intervention strategies. Methods: A stratified cluster random sampling method was employed to select 18 301 adolescents aged 12-18 years from all 12 prefectures (103 counties) in the Inner Mongolia Autonomous Region, and two waves of longitudinal surveys were conducted in September 2023 (T1) and September 2024 (T2) among the adolescents. Weight stigma was assessed by using a self developed questionnaire, depressive symptom was measured with the Center for Epidemiologic Studies Depression Scale (CES-D), and BMI Z scores were calculated according to the World Health Organization standards. Pearson correlation analysis was used to examine associations among variables, and cross lagged panel models were constructed to investigate the dynamic bidirectional relationships among the three variables. Results: Adolescents BMI Z scores and weight stigma with depressive symptoms all exhibited autoregressive stability across the two time points (autoregressive paths, all P <0.01). Cross lagged model comparisons indicated that the bidirectional path model achieved the best fit ( χ 2=12.65, RMSEA =0.017, CFI =1.000; △ χ 2=193.39, P <0.01), supporting dynamic bidirectional associations among the three variables. After adjusting for gender, age, subjective social status and only child status, T1 BMI Z scores among adolescents positively predicted T2 weight stigma ( β =0.061), and T1 weight stigma positively predicted T2 depressive symptoms ( β =0.608); in the reverse direction, T1 depressive symptoms predicted T2 weight stigma ( β =0.003), and T1 weight stigma predicted T2 BMI Z scores ( β =0.081) (all P <0.01). Conclusions There is a bidirectional cross lagged relationship among adolescents BMI Z scores and weight stigma with depressive symptoms, suggesting that weight stigma may serve as a key psychological variable linking obesity and depressive symptoms. Greater attention should be paid to the potential threat of weight stigma to adolescents mental health, with intervention strategies expanded from a solely physiological focus to encompass psychosocial dimensions.

Objective:To investigate the risk factors and cumulative risk of myopia in children and adolescents, providing a basis for identifying cumulative risk factors in preventing and controlling myopia.Methods:Baseline data from the mental and physical health cohort of children and adolescents established in Inner Mongolia Autonomous Region were used. A stratified random cluster sampling method was adopted to select 138 974 students from fourth to twelfth grade as participants. Distance visual exams, refractive assessments, and questionnaires were conducted on the included students. Logistic regression analysis was used to evaluate each risk factor's impact on myopia's prevalence. The number of risk factors was summed to form a cumulative risk score, and logistic regression analysis was conducted to examine the association between the cumulative risk score and the prevalence of myopia. Additionally, the association between the cumulative risk score of myopic students and their degree of refractivity was analyzed using a generalized estimating equation.Results:The study found a high prevalence of myopia among children and adolescents at baseline (70.2%). Girls exhibited a higher prevalence (74.8%) than boys (65.6%), urban areas (74.3%) surpassed suburban ones (68.6%), and the incidence was greater in high schools (80.3%) compared to middle schools (75.3%), which, in turn, was higher than in elementary schools (57.7%) (all P<0.05). Analysis of risk factors revealed that children and adolescents experiencing improper reading and writing distances ( OR=1.10, 95% CI: 1.07-1.13), excessive homework ( OR=1.09, 95% CI: 1.06-1.12), insufficient sleep ( OR=1.10, 95% CI: 1.07-1.13), having myopic father ( OR=1.98, 95% CI: 1.91-2.05), having myopic mother ( OR=2.04, 95% CI: 1.97-2.10), or using classroom chairs not matched to their height faced ( OR=1.04, 95% CI: 1.01-1.07) increased myopia risks. Additionally, the prevalence and significant odds ratio of myopia increased with the increase in cumulative risk score, with every additional unit of cumulative risk score increasing the right eye's refractive error by -0.10 D. Conclusion:The presence of multiple factors and their comprehensive score increases the prevalence of myopia in children and adolescents.

Objective: To understand the pubertal development of primary and secondary school students in urban and rural areas of the Inner Mongolia Autonomous Region in 2021, so as to provide clues for further clarification of the health hazards of early pubertal initiation. Methods: From October to November 2021, primary and secondary school students in 12 provinces and cities of Inner Mongolia were selected by stratified cluster random sampling, including 21 662 girls who had reached menarche and 10 600 boys who had their first seminal emission, as well as 46 183 girls who had not reached menarche and 78 995 boys who had not experienced their first seminal emission. The height and weight of the primary and secondary school students were measured, and the time of first seminal emission or menarche was recorded. The study used the Mann-Whitney U test to analyze the differences between urban and rural students, Spearmans rank correlation to analyze the correlation between overweight and obesity and the age of pubertal initiation, and the Logistic regression model to analyze the correlation between pubertal initiation and age of pubertal initiation. Results: The age of menarche for urban girls [(12.31±1.29) years old] was earlier than that of suburban girls [(12.43±1.24) years old], and the age of first spermatozoa for urban boys [(13.85±1.20) years old] was statistically significant compared with that of suburban boys [(13.79±1.36) years old] (t=12.76, 10.58, P<0.05). There was a negative correlation between the age of menarche and overweight/obesity among girls aged 10-14 years (r=-0.169, P<0.05), and there was no statistically significant correlation between the age of spermarche and overweight/obesity in boys aged 5-9, 10-14, and 15-20 years (r=0.122, -0.022, -0.004, P>0.05). The occurrence of menarche in overweight girls was 1.06(95%CI=1.01-1.11) times higher than that in the normal group, and 1.13(95%CI=1.06-1.20) times higher among obese girls than normalweight girls. Compared to urban areas, primary and secondary school students in suburban counties observed the onset of puberty later [OR=0.88(95%CI=0.85-0.91) for menarche, OR=0.94(95%CI=0.89-0.99) for first spermatozoa] (P<0.05). Conclusions Obesity during childhood and adolescence is associated with earlier onset of puberty among female students in Inner Mongolia, and later onset of puberty among primary and secondary school students in suburban counties compared with those in urban areas.

Objective:To identify micronuclei through the cytochalasin B blocking micronucleus method-based assay using scanning microscope, combined with the slide scanning software Metafer 4 and, accordingly, to establish a dose-response relationship between the dose of 60Co γ-rays and the frequency of micronuclei in human peripheral blood lymphocytes using artificial intelligence-based color recognition. Methods:Blood samples were collected from four healthy individuals (two men and two women) and were then exposed to varying doses of 60Co γ-ray radiation (0, 0.25, 0.5, 1, 2, 3, 4, 5 Gy) at a dosage rate of 0.74 Gy/min. Micronucleus slides were prepared as per the GBZ 128-2023 standard. The numbers of binuclear cells and micronuclei were recorded using an artificial intelligence-based color recognition analysis system. The dose-response curve was determined through fitting using the CABAS software. Then, the doses to both independent samples were estimated based on the curve. Results:Within a dose range of 0 to 5 Gy, the fitted micronucleus dose-response curve aligned with a quadratic polynomial model, with a regression equation of y = 0.032 1 D2+ 0.023 7 D+ 0.012 7 ( D denoting the dose, correlation coefficient R2=0.998). The dose estimations from the validation samples closely corresponded to the actual irradiation doses. Conclusions:Establishing the micronucleus dose-response curve provides a feasible method and basis for the rapid and accurate estimation of radiation biological doses in laboratory automation.

Gastric cancer is a common tumor of the gastrointestinal tract, and the global trend in morbidity and mortality are not encouraging. Especially in advanced gastric cancer, patient survival outcome is an essential clinical concern and a vital outcome indicator in clinical outcome assessment. This article reviews the definition of clinical outcome assessment and the measurement tools that can be applied in gastric cancer patients, describes the detailed classification of clinical outcome assessment tools, and reviews the current status of the application of clinical outcome assessment in gastric cancer, analyzing the effects and shortcomings of its application, to provide a reference for the clinical staff in choosing the appropriate tools, and assisting in the comprehensive and holistic assessment of clinical outcomes for the promotion of the development of precision medicine.

Gastric cancer is a common tumor of the gastrointestinal tract, and the global trend in morbidity and mortality are not encouraging. Especially in advanced gastric cancer, patient survival outcome is an essential clinical concern and a vital outcome indicator in clinical outcome assessment. This article reviews the definition of clinical outcome assessment and the measurement tools that can be applied in gastric cancer patients, describes the detailed classification of clinical outcome assessment tools, and reviews the current status of the application of clinical outcome assessment in gastric cancer, analyzing the effects and shortcomings of its application, to provide a reference for the clinical staff in choosing the appropriate tools, and assisting in the comprehensive and holistic assessment of clinical outcomes for the promotion of the development of precision medicine.

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.

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 investigate the correlation between school bullying and depressive symptoms comorbidity and dietary patterns among middle school students in Inner Mongolia Autonomous Region from 2021, so as to provide reference for the prevention of school bullying and depressive symptoms. Methods: In September 2021, stratified random cluster sampling was used to select 87 414 middle school students in 12 leagues in Inner Mongolia Autonomous Region. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to assess depression, and the bullying was determined according to the items related to bullying in the program of Chinese National Surveillance on Students Common Diseases and Risk Factors. Results: In 2021, the detection rate of depressive symptoms among middle school students in Inner Mongolia Autonomous Region was 15.24%, school bullying was 3.02%, and the co-occurrence of school bullying and depression was 1.64%. Binary Logistic regression analysis showed that junior high school students ( OR =1.52) and girls ( OR =1.10) were more likely to suffer from comorbidity of school bullying and depression ( P < 0.05). Eating fried food less than one and more than once a day, smoking and drinking were positively correlated with school bullying and depression comorbidity ( OR =2.15,2.11,2.14,1.70, P <0.05). Conclusion The combination of bullying and depression among middle school students in Inner Mongolia Autonomous Region is affected by various dietary methods. In terms of diet, reducing the intake of fried food, no smoking, no drinking can effectively reduce the incidence of co-occurrence school bullying and depression.

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.