Abstract To achieve identification and intervention synergy with regards to critical windows for the prevention and control of childhood hypertension, the study adopts a life course perspective to systematically review the developmental pathways of childhood hypertension, identify key challenges facing current prevention and control efforts, and discuss monitoring and intervention strategies during critical windows of opportunity. By promoting continuous, multi setting screening and dynamic monitoring, improving measurement standardization and diagnostic feasibility, developing child specific risk assessment tools and strengthening coordinated interventions across families, schools, communities and individuals, the prevention of childhood hypertension can shift away from passive detection toward proactive risk management and primary prevention, thereby providing robust evidence and practical pathways to reduce the lifelong burden of cardiovascular disease.

Objective: To systematically evaluate the association between random urinary electrolyte levels and hypertension among children and adolescents in Guizhou Province, so as to provide evidence for region specific dietary guidance and interventions. Methods: In 2023, a total of 2 480 children and adolescents aged 6 to 17 years were recruited from a nine-year coherent style school in Guizhou Province in a children health cohort, with follow ups conducted in 2024 and 2025. Random urine samples were collected to measure urinary sodium, potassium, calcium, and chloride, and the urinary sodium to potassium ratio (Na/K) was calculated. The diagnosis of hypertension was based on the criteria established by the Chinese Guidelines for Hypertension Prevention and Treatment (2024 revised edition) and relevant research. Linear mixed models and multinomial Logistic regression were used to assess the associations of urinary electrolytes with systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and the risk of hypertension. Results: At baseline, SBP, DBP, and MAP were 102.33 (94.33, 110.33), 61.33 (56.33, 67.00) and 75.22 (69.67, 81.33)mmHg among children and adolescents, respectively. After adjusting for potential confounders and two follow-ups, higher urinary Na/K ratio was positively associated with higher of SBP ( β=0.054, 95%CI =0.028- 0.081 ) and MAP ( β=0.038, 95%CI =0.010-0.066), as well as higher risks of hypertension ( OR=1.248, 95%CI =1.006-1.548) (all P <0.05). Higher of urinary chloride levels were positively associated with higher of SBP ( β=0.088, 95%CI = 0.009- 0.167), whereas higher of urinary potassium (SBP: β=-0.062, 95%CI =-0.096 to -0.028; MAP: β=-0.041, 95%CI = -0.078 to -0.005) and calcium levels (SBP: β=-0.036, 95%CI =-0.065 to -0.007) were negatively associated with blood pressure (all P < 0.05 ). Conclusion The urinary Na/K, as a comprehensive electrolyte marker, more stably reflects sodium load and excretory pressure in children and adolescents, and may serve as an early predictor of hypertension risk.

Abstract The prevalence of hypertension in children and adolescents continues to rise with a trend toward earlier onset, presenting a phenomenon that cannot be fully explained by traditional risk factor frameworks. Circadian rhythm disruption, particularly the dual disturbance of dietary and sleep rhythms, has emerged as a novel risk factor and become a research hotspot. The review systematically summarizes the epidemiological associations, biological mechanisms, and intervention strategies regarding dietary rhythm, sleep rhythm, and their co exposure with blood pressure in children and adolescents. Future research needs to focus on Chinese pediatric populations through longitudinal cohort studies and randomized controlled trials to clarify causal relationships and regulatory mechanisms, thereby providing evidence based guidance for chronic disease prevention and control in children.

Objective: To explore the association between vegetable intake with glucose and lipid metabolism levels among school aged children, so as to provide scientific basis for dietary intervention on children s metabolic health. Methods: Based on a natural population cohort in Jiulongpo District and Fengdu County of Chongqing, 2 133 school aged children aged 6-9 years were enrolled in the baseline survey in 2014, and 2 029 children completed the follow up in 2019. Questionnaire surveys were used to collect vegetable intake, general demographic and lifestyle data. Height, weight and waist circumference were measured, and glucose and lipid metabolism indicators such as fasting blood glucose (FBG), triglyceride (TG) and total cholesterol (TC), low densith lipoprotein triglyceride (LDL-C), high densith lipoprotein triglyceride (HDL-C) were detected. Mann-Whitney U test and Kruskal-Wallis H test were used for intergroup comparisons in multivariate analysis, and mixed effects linear regression model was used to analyze the association between vegetable intake and glucose and lipid metabolism. Results: The levels of FBG, TG, TC, HDL-C and LDL-C at baseline and follow up were [4.09(3.90,4.48), 0.84(0.60,1.14), 3.49(3.09,3.91), 1.25(1.09,1.46), 1.69 ( 1.39 ,2.02)；4.31(4.00,4.64), 0.92(0.71,1.22), 3.49(3.12,3.87), 1.36(1.16,1.57), 1.77(1.51,2.06)] mmol/L, respectively. Among these indicators, FBG, TG, HDL-C and LDL-C all increased significantly ( Z =-12.08, -7.82, -9.82, -5.37, all P < 0.01 ). The detection rate of low HDL-C levels at follow up (13.11%) was significantly lower than that at baseline (18.10%) ( χ 2=19.57, P <0.05). At baseline, there were significant differences in FBG, TC, TG, HDL-C and LDL-C among children with different vegetable intake levels ( H =68.47, 30.16, 11.02, 13.27, 44.70); at followup, only HDL-C showed significant intergroup differences ( H =13.10)(all P <0.05). Mixed effects linear regression model showed that after adjusting for confounding factors, vegetable intake was significantly negatively correlated with blood glucose levels among school aged children ( β=-0.03, 95%CI = -0.05 to -0.01, P <0.01). Conclusion Higher vegetable intake can independently reduce the risk of abnormal blood glucose in school aged children, which is of great significance for maintaining glucose metabolic health.

Objective: To construct a risk prediction model for pediatric metabolic dysfunction associated steatotic liver disease (MASLD), so as to provide practical tool for the early identification of high risk children. Methods: A healthy cohort of children in Southwest China was established from January 2021 to April 2025. A nested case-control study design was used to include 507 cases MASLD group and 507 cases in non MASLD group. Data on physical measurements, blood biochemical parameters, and liver ultrasound indicators were collected. Conditional Logistic regression was used to analyze the relationship between individual variables and MASLD, Lasso regression was applied for multivariable screening, and a high risk prediction model was constructed and presented in the form of a nomogram. Internal validation was performed using 10 repeated ten fold cross validations to assess model discrimination, accuracy, sensitivity, and specificity. Results: Logistic regression analysis showed that MASLD was associated with central obesity ( OR=22.11, 95%CI =15.62-31.29), apolipoprotein B ( OR=30.24, 95%CI =12.42-73.63), increased hepatorenal echo ( OR=326.00, 95%CI =183.87-578.01), hepatomegaly ( OR=24.98, 95%CI =16.66-37.46) (all P <0.05). The Lasso regression jointly selected 6 key variables, including hepatorenal echo, central obesity, hepatomegaly, right liver lobe inclination, body mass index, and alanine amino transferase. The results of cross validation showed that the average area under the curve (AUC) was 0.999 5, the average accuracy was 98.74%, and the sensitivity and specificity were 98.21% and 99.22% respectively, indicating a good predictive effect of the model. Conclusion The risk prediction model for high risk MASLD among children based on ultrasound and clinical indicators has good prediction effect, which is helpful for the early identification and risk stratification of pediatric MASLD.

Objective: To establish evidence-based, safe and efficient management of HIV-reactive blood donors by investigating safe and feasible assessment strategies for HIV-reactive blood donors based on routine blood screening data. Methods: The data of blood screening, supplementary testing, follow-up and CDC confirmation for HIV-reactive blood donors in our center from 2014 to 2024 were analyzed systematically to confirm HIV infection and identify infection status. Results: There were 1 235 samples (0.13%, 1 235/928 000) reactive in HIV blood screening over the 11-year period. A-mong them, 199 donors (16.11%) in asymptomatic HIV infection (HIV Ag/Ab++&HIV RNA+), 2(0.16%) as acute early HIV infection (HIV Ag/Ab+-&HIV RNA+) and 7(0.57%) as window-period infection (HIV RNA positive only) were confirmed. Donors with the result of HIV Ag/Ab+-&HIV RNA-(single-positive) were all excluded for HIV infection, while 1 in 6 HIV Ag/Ab++&HIV RNA-donors (double-positive) was confirmed to have HIV infection. When HIV Ag/Ab reagents were used continuously before and after the follow-up, it's observed in one reagent that the proportion of negative results in subsequent follow-up in single-positive donors who had negative results in the first sampling was significantly higher than the proportion of negative results in subsequent follow-up in those initially single-positive (P<0.05). But no significant difference was observed in another reagent (P>0.05). When reagents were changed in follow-up, the rate of singlepositive donors with negative results in the first sampling reached 96.7%, which was significantly higher than the negative rate of those without reagent changing in follow-up (P<0.05). Conclusion: Based on the serological and nucleic acid testing results of HIV blood screening, the confirmation of HIV infection and identification of infection status can be achieved accurately and efficiently. All HIV Ag/Ab+-&HIV RNA-donors were confirmed as false positive, and should be maintained their eligibilities for blood donation, but recommended to pass the retest before next donation. Using a different reagent for retesting helps improve the eligible rate. HIV Ag/Ab++&HIV RNA-donors should be deferred permanently due to the risk of true positivity.

Objective: To evaluate repeated testing on blood screening platforms in confirmation of non-discriminatory reactive (NDR) samples in nucleic acid testing (NAT). Methods: A total of 102 HBsAg-negative/NAT NDR samples were collected from voluntary blood donors at Dalian Blood Center between January 2021 and December 2023. Repeated testing was performed using two NAT platforms (Cobas s201 and Panther). For the first round of repeated testing, all samples were tested 12 times on each system; for the second round, the samples which were non-reactive or only reactive once in the first round were tested an additional 8 times. Anti-HBc and anti-HBs was detected using electrochemiluminescence assay (ECA). Meanwhile, blood donors were followed up. Results: The proportion of anti-HBc+ in 102 NDR samples was 88.2%. Forty-one samples (40.2%, 41/102) and 7 samples were confirmed HBV DNA+ in first-round and second-round repeated testing, respectively. The cumulative confirmation rate of HBV DNA+ was 47.1% (48/102) after repeated testing. Extra five blood donors detected HBV DNA+ in follow-up were identified as anti-HBc+ occult hepatitis B virus infection (OBI), while no window period infection was observed. Ultimately, there were 53 HBV infected donors confirmed, 46 HBV infection-unconfirmed, and 3 HBV uninfected. No significant difference was observed between the confirmation rate of the first-round testing and the cumulative confirmation rate after the second-round testing (P>0.05). The proportion of anti-HBc+ donors was quite high in both HBV infection-confirmed (98.1%) and unconfirmed group (82.6%), and donors with seronegative and anti-HBs-only occupied a high proportion in the latter (P<0.05). Conclusion: Numerous repeated testing of NDR samples using NAT platforms cannot achieve complete confirmation of HBV infection. Supplementary anti-HBc testing can minimize potential OBI risk among NDR donors, and is low-cost and efficient.

Objective: To investigate the associations between childhood obesity and performance of six minute walk test (6MWT), providing evidence for exercise tolerance assessment and exercise intervention strategies for children and adolescents. Methods: From March 2021 to December 2023, a cohort study was conducted among students recruited from a primary and secondary school in Chongqing, a total of 709 valid samples were included. The 6MWT was used to assess exercise tolerance, with vital signs measured before and after the test. Anthropometric indicators, including height, weight, and waist circumference, were measured using standardized procedures. Generalized additive models (GAM) and restricted cubic spline (RCS) regression were employed to analyze the nonlinear relationships between obesity related indicators and six minute walk distance (6MWD). Results: The mean 6MWD of participants was (602.59±70.73)m. GAM showed that after adjusting for confounding factors, body mass index (BMI) and weight had non linear relationships with 6MWD [effective degrees of freedom were 1.55 and 7.13 respectively], and overweight/obesity was associated with a decrease in 6MWD ( β =-18.65) (all P <0.01). Further RCS regression analysis showed that both BMI and weight showed an "inverted U shaped" non linear relationship with 6MWD in the overall population and sex stratified subgroups; the 6MWD of females was lower than that of males, and it showed a significant downward trend with the increase of BMI or weight (all P <0.05). Conclusion Body weight and BMI in children and adolescents have an important impact on 6MWD, and obesity in children and adolescents is markedly associated with decline in exercise tolerance.

Objective: To investigate the association between body weight standardized vitamin B intakes and blood pressure among school aged children, so as to provide evidence for developing dietary guidance and intervention strategies of promoting healthy blood pressure in children. Methods: The data were derived from a pediatric health cohort established in both urban and rural areas of Chongqing. A total of 1 368 primary school students in grades one to three were recruited for the baseline survey between October and November 2014 by using a stratified cluster random sampling design. From February to March 2019, 1 283 participants completed the first follow up assessment. Dietary intake and sociodemographic characteristics were assessed using a food frequency questionnaire and a self administered questionnaire. Blood pressure, height, weight, and other anthropometric indicators were measured. Body weight standardized intakes of six B vitamins(B 1, B 2, B 3, B 6, B 9, and B 12 )were categorized into tertiles( T1-T 3). Linear mixed effects models were applied to examine the associations between body weight standardized vitamin B intakes and changes in systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP). In addition, mixed effects Logistic regression models were used to assess the risk of elevated blood pressure. Results: Linear mixed effects model regression analyses showed that, after adjusting for potential confounders including age, sex, and family history of obesity, body weight standardized B vitamin intake was negatively associated with SBP, DBP, and MAP in school aged children ( β =-7.79 to -0.68, all P <0.05). Results from the mixed effects Logistic regression models showed that, compared with the T 1 group, children in the T 3 group had a lower risk of elevated blood pressure for vitamin B 1 ( OR=0.40, 95%CI =0.25-0.64), B 2 ( OR=0.36, 95%CI =0.23-0.58), B 3 ( OR=0.47, 95%CI =0.31-0.72, B 6 ( OR=0.37, 95%CI =0.22-0.60), B 9 ( OR=0.36, 95%CI =0.21-0.60), and B 12 ( OR= 0.56 , 95%CI =0.37-0.86)(all P <0.05). Conclusions Body weight standardized B vitamins were associated with changes in blood pressure levels and the risk of elevated blood pressure among school aged children. Ensuring sufficient dietary intakes of vitamin B may help prevent and control of abnormal blood pressure in children.

Objective To compare and find an optimal model for predicting the risk of DKD occurrence in patients with type 2 diabetes mellitus(T2DM).Methods A total of 2005 patients with T2DM were enrolled in this study from The Second Hospital of Shijiazhuang City during December 2017 to December 2022.All the subjects were divided into a training set(n=1403)and a validation set(n=602)according to the ratio of 3∶1 by simple random sampling.With the occurrence of DKD as the outcome variablein the training set,important feature variables were screened by LASSO regression.Six different machine learning models were established according to the feature variables,thenthe optimal model was determined by comparison,and anonlinerisk predictor for DKD occurrence was constructed in patients with T2DM.Results Taking the occurrence of DKD as the outcome variable in the training set,the results of LASSO regression analysis showed that the optimal value of the model was 10-fold cross validation lambda.1se=0.01662473,and 15 characteristic variables with nonzero coefficient were screened out to be related to the occurrence of DKD.The data included sex,age,family history of DM,DM duration,LDL-C,HbA1c,WBC,PDW,Scr,urine α1-microglobulin,urine β2-microglobulin,urine microalbumin,hypertension,hypokalemia,and DR.In the training set and validation set,the prediction performance of XGBoost model was better than that of other models(AUC=0.872,0.893,95%CI 0.853～0.891,0.865～0.921),the sensitivity was 0.779,0.863,and the specificity was 0.721,0.758,respectively.The F1 scores were 0.774 and 0.787.DCA analysis showed that the XGBoost model had a greater net benefit and threshold probability.According to the XGBoost model,the online predictor of DKD risk in T2DM patients was laid out,and two patients were selected for application,the results showed that the predictive value of the model was 0.185 in non-DKD patients,and the predictive value was 0.510 in DKD patients.Conclusions The XGBoost model is the best model for predicting the occurrence of DKD in T2DM patients,and an online predictor was successfully built.