Objective: To analyze the trajectories of blood pressure and body mass index (BMI) among primary and secondary school students aged 7-17 in Shunyi District of Beijing, and to explore the association between different growth trajectories and visual outcomes, so as to provide a scientific basis for the prevention and control of common diseases in children and adolescents. Methods: Health examination data (including vision, blood pressure and BMI) of primary and secondary school students in Shunyi District of Beijing from 2019 to 2023 were collected and analyzed. Group based trajectory modeling was used to classify the trajectories of BMI and blood pressure (systolic and diastolic) into distinct groups among students aged 7-17 years. The relationship between these trajectories and visual outcomes was examined using binary Logistic regression analysis. Results: The prevalence of screening myopia among students in Shunyi District was 57.2%, while the rate of moderate to severe visual impairment was 55.8%. Based on the latent growth model, the trajectories of systolic blood pressure, diastolic blood pressure, and BMI were divided into three groups:low growth trajectory, moderate growth trajectory and high maintenance trajectory. Logistic regression analysis revealed that, compared to the low growth trajectory group, the moderate growth and high maintenance trajectory groups for systolic blood pressure, diastolic blood pressure, and BMI were associated with an increased risk of screening myopia ( OR =1.14, 1.11; 1.07, 1.19 ; 1.06, 1.08, P <0.05). Similarly, the moderate growth and high maintenance trajectory groups for systolic blood pressure, diastolic blood pressure, and BMI were similarly associated with an increased risk of moderate to severe visual impairment ( OR = 1.12 , 1.12; 1.09, 1.17; 1.08, 1.11, P <0.05). Conclusions Moderate growth and high maintenance trajectories of blood pressure and BMI are associated with an increased risk of screening myopia and moderate to severe visual impairment among students. It is recommended to closely monitor changes in blood pressure and overweight/obesity trajectories in primary and secondary school students, conduct regular assessments, and actively prevent the development and progression of multimorbidity and comorbidity.

Objective: To investigate the correlation between social jetlag and psychological behavior in upper primary school students,so as to provide reference for sleep health promotion in primary school students. Methods: From April to June 2024, a survey was conducted among 4 341 fourth and fifth grade students from 9 public primary schools in a district in Beijing. Sleep patterns were assessed using a self designed questionnaire, while psychological behavior was evaluated using the Strengths and Difficulties Questionnaire (SDQ)(parent version). A generalized estimating equation (GEE) model was used to examine the association between different levels of social jetlag and psychological behavior problem scores in primary school students. Results: The proportions of students with social jetlag of <1.0, 1.0-<2.0, and ≥2.0 h were 57.6%, 30.6%, and 11.8%, respectively. The GEE model analysis found that after adjusting for covariates, compared with primary school students with social jetlag of <1.0 h, those with 1.0 -<2.0 and ≥2.0 h had higher scores for internalizing behavior problems [ β (95% CI ) =0.23(0.05-0.41)，0.28(0.02-0.54), P < 0.01]. Primary school students with ≥2.0 h of social jetlag had higher scores for externalizing behavior problems [ β (95% CI )=0.42 (0.13-0.71)， P <0.01]. Among boys and primary school students with an average nighttime sleep duration of ≥9 h, comparied with social jetlag of <1.0 h,those with sucial jetlag 1.0-<2.0 h had higher scores on internalizing and externalizing behavior problems[ β (95% CI )=0.32(0.07-0.56),0.51 (0.11-0.90), 0.26 (0.06-0.46)，0.58 (0.25-0.91), P <0.05]. Conclusions Greater social jetlag may be a risk factor for internalizing and externalizing behavior problems in upper primary school students. Reducing social jetlag may help decrease the occurrence of psychological behavior problems in primary school students.

Objective: To explore the association of screening myopia and sitting posture habits as well as screen viewing distance among primary school students, providing a scientific basis for myopia prevention and intervention among primary school students. Methods: From April to June 2024, a convenient sampling method was used to enroll 1 394 fourth grade students from four primary schools in a district of Beijing for vision examinations and questionnaire surveys. Logistic regression models were employed to analyze the relationship of screening myopia detection and sitting posture habits as well as viewing distance. Results: The screening myopia prevalence among primary school students was 63.8%. About 13.1% of students self reported poor sitting posture, and 47.1% selfreported a viewing distance of ≤20 cm. After adjusting for covariates including age, gender, school, sleep quality, parental myopia status, physical fitness level, daily high intensity physical activity, weekend outdoor activity time and types of after school services, Logistic regression analysis showed that students with poor sitting posture were more likely to have screening myopia than those with normal sitting posture ( OR =1.73,95% CI =1.03-2.92); students with a viewing distance of ≤20 cm were more likely to have screening myopia than those with a viewing distance of >20 cm( OR =1.32, 95% CI =1.02-1.71)( P <0.05). The association between sitting posture and screening myopia was more significant among boys( OR =2.00, 95% CI =1.03-3.88, P < 0.05 ). A multiplicative interaction was observed between sitting posture and viewing distance. Compared to primary school students with normal posture and a viewing distance of >20 cm, those with poor posture and a viewing distance of >20 cm were more likely to have screening myopia ( OR =1.82, 95% CI =1.12-2.96， P <0.05). Conclusions Both sitting posture habits and screen viewing distance are related to screening myopia in primary school students. Poor sitting posture poses a higher risk than screen distance, and the two factors exhibit an interactive effect on myopia risk.

Objective: To explore the longitudinal association between organophosphate esters (OPEs) exposure and blood pressure in children, so as to provide a reference for identifying the effects of OPEs exposure on child health. Methods: A total of 404 children from the Beijing Child Growth and Health Cohort (PROC) were enrolled using a case cohort study design, baseline physical examination, urine collection, questionnaires survey were administered in 2018 and follow up surveys in 2019-2020 and 2023. Participants were divided into case group ( n =140) and control group ( n =264) according to the observation of new onset of high blood pressure during the follow up period. High performance liquid chromatography tandem mass spectrometry was used to detect diethyl phosphate (DEP)，bis (2-chloroethyl) phosphate (BCEP)，bis (1-chloro-2-propyl) phosphate, (BCIPP), diphenyl phosphate(DPHP), dibutyl phosphate (DnBP), bis (1,3-dichloro-2-propyl) phosphate(BDCIPP), bis(2-butoxyethyl) phosphate(BBOEP), bis (2-butoxyethyl) 2-hydroxyethyl phosphate (BBOEHEP), 4-hydroxyphenyl diphenyl phosphate (4-OH-TPHP). Generalized linear mixed models and Quantile g computation models were developed to analyze the longitudinal associations between OPEs individual/mixed exposure and blood pressure in children. Results: The detection range of 9 OPEs metabolites,including DEP, BCEP, BCIPP, DPHP, DnBP, BDCIPP, BBOEP, BBOEHEP and 4-OH-TPHP at three time points (baseline, first follow up and second follow up) were 27.7%-92.1%, 24.0%-99.3% and 39.2%-90.9% respectively. Without adjustment for covariates such as gender, age, body mass index, Tanner stage, parental education, and monthly household income, and family history of hypertension, the increase of BDCIPP concentration and mixed exposure of OPEs may reduce children s systolic blood pressure( β= -0.85，-2.40，95%CI=-1.69--0.01，-3.30--1.50，P <0.05). After adjusting for the covariates, the longitudinal association of individual OPEs or mixed exposure with pediatric BP was not statistically significant ( P >0.05). Conclusion Children are commonly exposed to OPEs, and although no significant longitudinal associations are observed between exposure to OPEs and blood pressure among school aged children in Beijing, it is recommended that child exposure should be minimized whenever possible.

Objective: To understand the public health emergency response capacity in primary and secondary schools, and to explore the problems and challenges in the prevention and control of public health emergency in primary and secondary schools for specific strategies. Methods: By using the stratified group sampling method, a questionnaire survey on general situation, knowledge, attitude and training, as well as public health emergencies response capacity among 2 988 teachers or leaders responsible for school emergency response in primary and secondary schools from Beijing, Chongqing and Yunnan. Results: Participants varied on their positions, titles, educational background and knowledge accuracy. Higher knowledge accuracy was associated with higher educational background ( χ 2=50.73-203.36, P < 0.05 ). The implementation of regular public health emergency related programs was poorly conducted in high schools (50.0%). Urban schools (42.0%) had higher proportion of qualified health care professionals than rural schools (18.2%), and private schools (48.5%) was higher than public schools (24.7%). The primary challenges included the shortage of guidance from professionals and the lack of related testing equipment (84.91%, 74.03%). Conclusion Although the ability of emergency handling of public health emergencies in schools in the three regions is advancing with the times, there are still many deficiencies, some omissions in the mastery of knowledge. It is suggested to inerease pre service and special training of school health work CDC should strengthen technical guidance and work supervision of infectious disease management in schools.

Objective:To investigate the differences in microbiological examination results between alcohol abuse and no alcohol abuse in adult ICU patients and the association between alcohol abuse and these differences.Methods:The adult patients with microbiological examination results were selected from the MIMIC-Ⅲ database and divided into two groups according to whether they had alcohol abuse. The two groups were matched by propensity score, and the similarities and differences in microbiological examination results were evaluated between the two groups after matching. The measurement data of non normal distribution were expressed by M ( Q1, Q3). Wilcoxon rank sum test was used for the comparison of the two groups, and the comparison of counting data was used χ 2 test or Fisher exact probability method. Results:After matching, the alcohol abuse patients were more likely to use mechanical ventilation (47.06% (1 379/2 930) vs. 52.66% (1 543/2 930), χ 2=18.14, P<0.001), had a higher positive rate in sputum samples (44.30% (400/903) vs. 49.41% (501/1 014), χ 2=4.81, P=0.028) and had a lower positive rate in other samples (26.85% (653/2 432) vs. 21.67% (541/2 496), χ 2=17.69, P<0.001). In blood samples, the percentage of Gram-negative bacteria was lower in the alcohol abuse group (26.87% (126/469) vs. 17.25% (74/429), χ 2=11.42, P<0.001), while the percentage of Gram-positive bacteria was higher (78.46% (368/469) vs. 86.01% (369/429), χ 2=8.17, P=0.004). The percentage of patients with Pseudomonas aeruginosa (3.75% (110/2 930) vs. 2.08% (61/2 930), χ 2=13.88, P<0.001) and Enterococcus sp. (8.19% (240/2 930) vs. 6.45% (189/2 930), χ 2=6.29, P=0.012) was lower in the alcohol abuse group. However, there was a higher percentage of patients with methicillin-resistant Staphylococcus aureus (2.32% (68/2 930) vs. 3.28% (96/2 930), χ 2=4.57, P=0.032) and Haemophilus influenzae (1.30% (38/2 930) vs. 2.01% (59/2930), χ 2=4.19, P=0.041) in the alcohol abuse group. For Staphylococcus aureus (61.10% (322/527) and 52.66% (267/507), χ 2=7.16, P=0.007) and Enterococcus sp. (75.83% (160/211) and 63.64% (56/88), χ 2=4.02, P=0.045), the alcohol abuse group had a lower resistance to levofloxacin; for Escherichia coli, Pseudomonas aeruginosa and Klebsiella pneumoniae, the alcohol abuse group had a lower resistance to cephalosporins (all P<0.05). Conclusions:In adult ICU, alcohol abuse might increase the risks of using mechanical ventilation, and patients with alcohol abuse might be more prone to have respiratory tract infections. Alcohol abuse patients with blood infections were less likely to be infected with Gram-negative bacteria, but had a higher probability of Gram-positive bacteria infection. What is more, Alcohol abuse might increase the risks of infections with Haemophilus influenzae and methicillin-resistant Staphylococcus aureus. In alcohol abuse patients, the infection of Staphylococcus aureus, Enterococcus sp., Escherichia coli, Pseudomonas aeruginosa, and Klebsiella pneumoniae was less resistant to many antibiotics than that in no alcohol abuse patients.

Objective: The study aimed to explore sex differences in the growth and physical development of Beijing school-aged children and adolescents. Methods: Data obtained from regular health examinations of 94 122 school-aged children and adolescents aged 6-18 years old were collected from primary and high schools in Shunyi District from 2009 to 2018, and a longitudinal dataset was compiled with complete anthropometric parameters including height, weight, and BMI levels after linkage of individuallevel information. The age-specific growth rate was calculated and a linear mixed-effects model was used to identify sex differences according to chronological or relative age to peak height velocity (PHA). Results: Height, weight, and BMI levels increased with age in both boys and girls. Girls were taller than boys in the 10-11 year-old age group, catch-up growth in height was observed in boys at age 12, whose height surpassed that of girls thereafter. Boys had a higher weight and BMI than girls in all age groups (P<0.01). Sex differences were found in the growth rates of height, weight, and BMI levels(t=-67.56，-47.46，3.22，P<0.01), which was demonstrated by the interaction effect of sex and age in the linear mixed-effects model. The PHA in boys was 12 years old, which was two years later than the PHA in girls. Boys reached peak weight velocity at 12 years old, lagging one year behind girls who reached their peak at 11 years old. The curves of the BMI growth rate with age showed double peaks in boys and the first peak appeared at 10 years, which was one year earlier than girls. The change in weight was highly synchronized in time with the increase in height, after adjusting for the growth rate of weight by PHA. Weight velocity increased with age before the onset of puberty until PHA, and then it declined; boys presented with obvious fat accumulation before the onset of puberty. Conclusion Sex differences in the growth and physical development of school-aged children and adolescents were persistent and apparent, and the change in weight was highly synchronized in time with the increase in height.

Objective: To explore sex differences between weight and systolic blood pressure (SBP) changes among school-age children and adolescents in Beijing, and to provide a basis for priority intervention to control the rapid growth of body weight and blood pressure. Methods: Anthropometric measurement data of 70 288 children and adolescents from primary and high schools in Shunyi District were collected from 2009 to 2018, and a longitudinal dataset with complete data related to weight and BP after individual data linkage was compiled. The age-specific weight and SBP growth rates were calculated, and a linear mixed-effects model was used to identify sex differences in chronological growth rates. Results: Weight and SBP increased with age in both boys and girls, and the mean weight and SBP were higher in boys than in girls across all age groups. The result of the linear mixed-effects model indicated apparent sex differences in weight and SBP growth rates, with an age and sex interaction term(β=-0.35, -0.40, P<0.01). The age at peak weight velocity (PWA) was 12 years old and the age at peak SBP velocity was 13 years old in boys, which occurred one and three years later than for girls, respectively. In addition, the peak weight and SBP velocity were higher in boys than in girls. The curves of the SBP growth rate adjusted for the PWA, showed that the peak SBP velocity occurred two years before PWA and the second peak SBP velocity occurred at the PWA, which indicated "double peaks" in both boys and girls. The SBP growth rate was always higher in boys than in girls, and the rates declined after PWA. Conclusion Sex differences in weight and SBP growth rates were persistent and obvious in school-age children and adolescents in Beijing and the change in SBP was highly time synchronized with the increase in weight.

Objective: To explore differences in the detection rate of elevated blood pressure (BP) in children aged 6-8 years old, and to verify the apparent existence of white-coat hypertension (BP) in children. Methods: Based on census data(PROC), and three subsequent BP readings were taken during follow-ups which were carried out from October 2018 to June 2019. A total of 1 785 children were included in the present study. Using updating blood pressure reference for Chinese children aged 3-17 years, compared the BP detection rate at baseline, at the first follow-up, and the average value of the last two BP readings. Fluctuations in the detection rate of elevated BP in children at different time-points were analyzed. Results: The detection rates of the three elevated BP measurements of 6-8-year-old children were 57.65%, 25.88% and 15.46%, respectively, and the detection rate was higher among boys than girls. The detection rate of baseline BP was higher than that of the first follow-up BP measurements and the average of the last two BP measurements(P<0.01). Given the agreement in the diagnosis of high SBP, high DBP, high BP at baseline, and the average of the last two follow-up BP measurements, elevated BP at baseline was the lowest among the three groups and SBP was higher than DBP. Conclusion Blood Pressure fluctuations might be caused by transient tension that was experienced during the baseline BP measurement and during the first of the three follow-ups. Therefore, the average value of last two BP measurements may better reflect the real BP level in children.

Objective: To examine the association between the visceral adiposity index (VAI) and nonalcoholic fatty liver disease (NAFLD) in the pediatric population in order to improve risk stratification and prevention systems for chronic liver disease. Methods: A total of 510 overweight/obese children aged 6-8 years old were enrolled from the child cohort which was designed to study puberty, obesity, and cardiovascular risk (PROC), and complete data from liver ultrasounds and the VAI were obtained. Used Spearman s rank correlation coefficient, Chi-square tests, and Logistic regression analyses to explore the association between the VAI and NAFLD. Results: The detection rates of NAFLD for boys and girls were 25.9% and 11.1%, respectively. VAI for normal group and the NAFLD group were 0.43(0.31, 0.61) and 0.61(0.44, 0.87) in boys, and 0.74(0.56, 1.07) and 1.08(0.67, 1.51) in girls, respectively. Spearman s correlation coefficient analysis showed that triglycerides(TG), VAI, and the third quintile VAI group were positively correlated with NAFLD in both boys and girls(r=0.19,0.26,0.29;0.16,0.16,1.18,P<0.05), and high-density lipoprotein-cholesterol (HDL-C) was negatively correlated with NAFLD in boys (r=-0.21, P<0.05). With advancing tertiles of VAI, the increasing trend in the NAFLD detection rate was statistically significant in boys and girls(Chi-square for trend were 21.77,7.66, P<0.01). The results of univariate and multivariable Logistic regression showed that, by taking the first tertile of VAI as a reference, the risk of NAFLD among boys was higher in the second tertile (cOR=2.59, 95%CI=1.15-5.86; aOR=2.33, 95%CI=1.01-5.36) and in the third tertile(cOR=5.73, 95%CI=2.62-12.53; aOR=4.87, 95%CI=2.15-11.03), where as the risk among girls was higher in the third tertile(cOR=4.43, 95%CI=1.40-14.00). Conclusion VAI is positively correlated with pediatric NAFLD. Higher tertiles of VAI were associated with an increased risk of NAFLD in overweight and obese children, which indicates that VAI can be used as an early predictor of NAFLD.