Objective: To investigate the prevalence of overweight and obesity among children and adolescents in Yangzhou City, and its association with screen behaviors, so as to provide scientific evidence for weight management among students. Methods: In May 2025, an electronic questionnaire survey was conducted among children and adolescents in Yangzhou City. A total of 3 722 participants were selected from grades 4 to 12 in 18 primary and secondary schools (108 classes) by using stratified cluster random sampling. The Chi square test was used to compare the differences in the detection rates of overweight and obesity among children and adolescents with 5 types of screen behaviors (watching TV, playing electronic games, scrolling short videos, screen based learning, electronic socializing) in different time groups each day (never, >0~<2 h, ≥2 h). Multivariate Logistic regression analysis was performed to examine the associations of five types of screen behaviors, presence of electronic devices in the bedroom, and screen use during meals on the weight status of children and adolescents. Results: The prevalence of overweight and obesity among children and adolescents was 37.3%. For all five types of screen behaviors, the differences in the distribution of overweight and obesity detection rates among children and adolescents across the three time spent categories were statistically significant ( χ 2=30.76- 70.78 , all P <0.01). After adjusting for confounding factors, multivariate Logistic regression analysis revealed that frequent or always using screens during meals( OR =1.63, 95％ CI =1.14~2.31), playing video games ( OR =1.28, 95% CI =1.11-1.48), browsing short videos ( OR =1.29, 95％ CI=1.09-1.54), and screen based learning ( OR =1.26, 95％ CI =1.10-1.44) were significantly associated with overweight and obesity among children and adolescents (all P <0.05). Conclusions Excessive screen use is positively correlated with the incidence of overweight and obesity in children and adolescents. Targeted interventions on screen behaviors among children and adolescents are therefore warranted.

Objective: To explore the association between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms among first year junior high school students in Yunnan Province, so as to provide theoretical basis for the prevention of anxiety and depressive symptoms co-occurrence among adolescents. Methods: A random cluster sampling involving 8 500 first year junior high school students in 11 counties in Yunnan Province was conducted by a questionnaire survey from October to December 2022. The Depression Anxiety Stress Scale-21 (DASS-21) was applied to assess anxiety and depressive symptoms in first year junior high school students. Chi-square test was used to compare the anxiety-depression co-occurrence symptoms of first year junior high school students with different demographic characteristics. The association between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms of adolescents was analyzed by binary Logistic regression models. Results: The detection rate of co-occurrence of anxiety and depression symptoms among first year junior high school students in Yunnan Province was 26.92%. After controlling for demographic variables and other confounders, takeout fast foods and sugar sweetened beverage consumption( OR=1.50, 95%CI =1.27-1.77) was associated with anxiety-depression co-occurrence symptoms among first year junior high school students in Yunnan Province ( P <0.01). Stratified analysis showed that both Han ( OR=1.37, 95%CI =1.07-1.77) and ethnic minorities ( OR=1.60, 95%CI =1.29-2.00) exhibited statistically significant associations between takeout fast foods and sugar sweetened beverage consumption with co-occurrence of anxiety and depressive symptoms(both P <0.05). Conclusions Takeout fast foods and sugar sweetened beverage consumption increases the risk of co-occurrence of anxiety and depressive symptoms among first year junior high school students in Yunnan Province. It is recommended to strengthen guidance on the consumption of such products among junior high school students to prevent co-occurrence of anxiety and depressive symptoms.

Objective: To investigate the prevalence of co-occurrence of common diseases among junior high school students in Yunnan Province and to identify latent comorbidity patterns and analyze their associated factors, so as to provide evidence for the comprehensive prevention and control of common diseases among students. Methods: From September to November 2025, a stratified cluster sampling method was employed to survey 71 791 students in grades 7-9 recruited from 258 junior high schools in Yunnan Province. Information on six common diseases, including screening myopia, dental caries, overweight/obesity, malnutrition, elevated blood pressure, and abnormal spinal curvature, was collected through physical examinations and questionnaire surveys, along with data on demographic characteristics, physical activity, and sleep. Latent class analysis (LCA) was used to identify comorbidity patterns of common diseases, and multinomial Logistic regression was performed to analyze the factors associated with each pattern. Results: The detection rates of screening myopia, dental caries, overweight/obesity, elevated blood pressure, malnutrition, and abnormal spinal curvature among junior high school students were 65.2%, 62.1%, 22.4%, 10.9% , 8.2%, and 5.7%, respectively. LCA identified three latent comorbidity patterns of common diseases: a high prevalence screening myopia-dental caries-spinal curvature abnormality pattern (C1, 63.8%), an overweight/obesity elevated blood pressure pattern (C2, 24.1%), and a relatively low burden pattern (C3, 12.0%). With C3 as the reference, multinomial Logistic regression showed that girls were more likely than boys to be assigned to C1 and C2 [ OR (95% CI )=2.12(2.02-2.23), 1.31(1.23-1.38)]; non-Han students were less likely than Han students to belong to C1 and C2 [ OR (95% CI )=0.88(0.83-0.92), 0.81(0.77-0.86)]; students in grades 8 and 9 were more likely than those in grade 7 to belong to C1 and C2, with the highest likelihood observed among grade 9 students [ OR (95% CI )=1.43(1.35-1.52), 1.27(1.19-1.36)]; insufficient sleep was associated with increased odds of belonging to C1 and C2 [ OR (95% CI )=1.15(1.09-1.22), 1.25(1.18-1.33)] (all P <0.05). Compared with students who engaged in outdoor activities during breaks, those who stayed indoors, either inside the teaching building but outside the classroom or inside the classroom, were more likely to belong to C1 [ OR (95% CI )=1.09(1.02-1.16), 1.17(1.09-1.26)] and C2 [ OR (95% CI )=1.13(1.05-1.21), 1.25(1.15-1.35)]; students not living with their parents were less likely to belong to C1 and C2 [ OR (95% CI )=0.83(0.77-0.90), 0.74(0.68-0.81)] (all P <0.05). Conclusions The co-occurrence of common diseases is relatively prominent among junior high school students in Yunnan Province, with distinct latent stratification patterns. Tiered and precise comprehensive interventions should be implemented targeting key populations to promote the prevention and control of common diseases among students.

Objective To analyze the virulence genes and antibiotics resistance of Escherichia coli(E.coli)isolates cause urinary tract infection(USI)in children,and further understand the epidemiological characteristics of E.coli isolates in children with USI.Methods Children with urinary system infection admitted to Quanzhou Maternity and Child Health Care Hospital&Children's Hospital from January to December 2021 were collected.E.coli was isolated from urine,and the drug sensitivity of the E.coli to 15 commonly used clinical antibiotics was detected by instruments.Among them,33 strains of E.coli that showed Extended-spectrum beta-lactamase(ESBL)production were increased,genomic DNA was extracted,and the whole genome sequence of the strains was analyzed by high-throughput sequencing technology.Results In the gene sequence analysis of 33 strains of E.coli,86 virulence genes were obtained,and the bacterial structural virulence genes accounted for the most(43/86),including capsular,fimbriae and cell-membrane system,followed by functional virulence genes and toxigenic genes,while fimH,fdeC and terC virulence genes had the highest detection rates.In the analysis of drug resistance,Cefazolin(96.97%)was the most resistant,and carbapenems were also found to be resistant.In addition,39 inactivation genes,18 target alteration genes and 51 e?ux system genes were obtained.The most information related to antibiotic e?ux(1 273/1 815),mainly RND and MFS superfamily e?ux pumps.There were 19～43 drug resistance genes in each E.coli genome.A variety of β-lactamase resistance genes were found,in which CTX-M/EC/TEM gene family dominated.Conclusion In the urine isolation of ESBL-producing E.coli in USI children,the β-lactamase should continue to be monitored.Virulence genes fimH,fdeC,terC and acrAB/emrAB/mdtABC-TolC e?ux pump gene detected higherratio,should be more attention.

Objective: To understand the association between beverage and snack intake and insufficient serum 25 hydroxyvitamin D [25(OH)D] among primary and secondary school students, so as to provide a scientific basis for targeted intervention measures. Methods: From October to December 2021, a stratified random sampling method was used to select 2 477 primary and secondary school students aged 8 to 15 years old from 9 counties in Yunnan Province implemented the Nutrition Improvement Plan for Rural Compulsory Education Students. The intake of beverages and snacks was investigated using the Rural Student Nutrition Monitoring Questionnaire from Chinese Center for Disease Control and Prevention. The snack intake intensity was calculated and classified into no intake, extremely low, low, medium, and high intensity. Serum 25(OH)D levels were measured in the laboratory, and levels <20 ng/mL were defined as insufficient. Chi square tests, LASSO regression, random forest and binary Logistic regression were used to analyze the association between 20 types of beverages and snacks and serum 25(OH)D insufficiency. Results: Insufficient serum 25(OH)D was detected in 564 boys (45.9%) and 855 girls (68.5%), with a total of 1 419 cases (57.3%). Binary Logistic regression results showed that extremely low intake intensity of carbonated beverages ( OR =1.51), plant protein beverages ( OR =1.61), and milk tea beverages ( OR =1.39) increased the risk of insufficient serum 25(OH)D, while protective factors were fruits and vegetables ( OR =0.77) and pure milk and yogurt ( OR =0.74) (all P <0.05). Subgroup analysis showed that extremely low intake intensity of carbonated beverages, milk containing beverages, tea beverages, fruit and vegetable juices, and plant protein beverages increased the risk of insufficient serum 25(OH)D in girls ( OR =2.22, 1.72, 1.67, 1.74, 1.92), and high intake intensity increased the risk of insufficient serum 25(OH)D in boys ( OR =1.73, 1.48, 1.52, 1.49, 1.97) (all P <0.05). Extremely low intake intensity of carbonated beverages, plant protein beverages, and milk tea beverages in junior high school students ( OR =1.92, 2.54, 1.68) and low intake intensity in primary school students ( OR =1.40, 1.33, 1.45) increased the risk of insufficient serum 25(OH)D (all P <0.05). Conclusions Frequent intake of beverages and highly processed snacks increases the risk of insufficient serum 25(OH)D in primary and secondary school students, while natural foods such as fruits, vegetables, pure milk and yogurt can reduce the risk. Girls and junior high school students are more susceptible to these effects.

Objective:To explore the association between big five personality traits, emotional coping information acquisition ability, and depressive symptoms among Chinese adults, providing theoretical support for behavioral intervention strategies targeting individuals with different personality traits and depressive symptoms.Methods:Data were obtained from the Psychology and Behavior Investigation of Chinese Residents (PBICR), a cross-sectional survey conducted from July to September 2021 across 120 cities in China, with 9 966 adults involved. The big five inventory-10 (BFI-10) and patient health questionnaire-9 (PHQ-9) were used to assess personality traits and depressive symptoms, respectively. Emotional coping information acquisition ability was evaluated using a four-point Likert scale. Multivariable binary Logistic regression analysis was performed using R 4.3.1 software to examine associations among big five personality, emotion-coping information acquisition ability, and depressive symptoms.Results:Among the 9 966 surveyed adults, 1 213 individuals(12.2%) who met the PHQ-9 criteria were assessed to have positive depressive symptoms. Difficulties in acquiring emotional coping information were reported by 1 934 individuals(19.4%). The scores of extraversion, agreeableness, neuroticism, openness and conscientiousness in big five personality traits were 6.26±1.58, 7.00±1.49, 6.26±1.49, 6.41±1.52 and 6.91±1.60, respectively. Inter-group comparisons reported statistically significant differences in the five major personality traits between the negative and positive group of depressive symptoms ( χ2=215.39, P<0.05). Logistic regression analysis showed that poor emotional coping information acquisition ability ( B=0.304, OR(95% CI)=1.36(1.15-1.59)) and dominant traits of extraversion ( B=0.597, OR(95% CI)=1.82(1.55-2.13)) or openness ( B=0.321, OR(95% CI)=1.38(1.10-1.72)) were significant risk factors for depression. Conclusions:Chinese adults with big five personality mainly presented as extroversion and openness traits, and with poor emotional coping and information acquisition abilities might be associated with depressive symptoms.

Objective:To explore the association between big five personality traits, emotional coping information acquisition ability, and depressive symptoms among Chinese adults, providing theoretical support for behavioral intervention strategies targeting individuals with different personality traits and depressive symptoms.Methods:Data were obtained from the Psychology and Behavior Investigation of Chinese Residents (PBICR), a cross-sectional survey conducted from July to September 2021 across 120 cities in China, with 9 966 adults involved. The big five inventory-10 (BFI-10) and patient health questionnaire-9 (PHQ-9) were used to assess personality traits and depressive symptoms, respectively. Emotional coping information acquisition ability was evaluated using a four-point Likert scale. Multivariable binary Logistic regression analysis was performed using R 4.3.1 software to examine associations among big five personality, emotion-coping information acquisition ability, and depressive symptoms.Results:Among the 9 966 surveyed adults, 1 213 individuals(12.2%) who met the PHQ-9 criteria were assessed to have positive depressive symptoms. Difficulties in acquiring emotional coping information were reported by 1 934 individuals(19.4%). The scores of extraversion, agreeableness, neuroticism, openness and conscientiousness in big five personality traits were 6.26±1.58, 7.00±1.49, 6.26±1.49, 6.41±1.52 and 6.91±1.60, respectively. Inter-group comparisons reported statistically significant differences in the five major personality traits between the negative and positive group of depressive symptoms ( χ2=215.39, P<0.05). Logistic regression analysis showed that poor emotional coping information acquisition ability ( B=0.304, OR(95% CI)=1.36(1.15-1.59)) and dominant traits of extraversion ( B=0.597, OR(95% CI)=1.82(1.55-2.13)) or openness ( B=0.321, OR(95% CI)=1.38(1.10-1.72)) were significant risk factors for depression. Conclusions:Chinese adults with big five personality mainly presented as extroversion and openness traits, and with poor emotional coping and information acquisition abilities might be associated with depressive symptoms.

Objective To analyze the virulence genes and antibiotics resistance of Escherichia coli(E.coli)isolates cause urinary tract infection(USI)in children,and further understand the epidemiological characteristics of E.coli isolates in children with USI.Methods Children with urinary system infection admitted to Quanzhou Maternity and Child Health Care Hospital&Children's Hospital from January to December 2021 were collected.E.coli was isolated from urine,and the drug sensitivity of the E.coli to 15 commonly used clinical antibiotics was detected by instruments.Among them,33 strains of E.coli that showed Extended-spectrum beta-lactamase(ESBL)production were increased,genomic DNA was extracted,and the whole genome sequence of the strains was analyzed by high-throughput sequencing technology.Results In the gene sequence analysis of 33 strains of E.coli,86 virulence genes were obtained,and the bacterial structural virulence genes accounted for the most(43/86),including capsular,fimbriae and cell-membrane system,followed by functional virulence genes and toxigenic genes,while fimH,fdeC and terC virulence genes had the highest detection rates.In the analysis of drug resistance,Cefazolin(96.97%)was the most resistant,and carbapenems were also found to be resistant.In addition,39 inactivation genes,18 target alteration genes and 51 e?ux system genes were obtained.The most information related to antibiotic e?ux(1 273/1 815),mainly RND and MFS superfamily e?ux pumps.There were 19～43 drug resistance genes in each E.coli genome.A variety of β-lactamase resistance genes were found,in which CTX-M/EC/TEM gene family dominated.Conclusion In the urine isolation of ESBL-producing E.coli in USI children,the β-lactamase should continue to be monitored.Virulence genes fimH,fdeC,terC and acrAB/emrAB/mdtABC-TolC e?ux pump gene detected higherratio,should be more attention.

Purpose/Significance To explore the establishment of a remote maternal and fetal monitoring system based on 5 G tech-nology in the obstetrics and gynecology hospital,and to provide references for the medical system to improve telemedicine and smart medi-cal care based on 5 G technology.Method/Process By utilizing the advantages of 5 G technology such as fast speed,wide spectrum and low delay,and combining services such as maternal and fetal monitoring,online education,remote consultation,artificial intelligence(AI),health data management,and medical green channel,the maternal and fetal monitoring database and the AI model of maternal and fetal monitoring are constructed,the remote maternal and fetal monitoring system is constructed,and fetal heart monitoring process is op-timized.Result/Conclusion It realizes the combination of maternal and fetal monitoring application in hospital and outside hospital,medical alliance applications,internet hospital applications and ambulance transfer process applications.