BACKGROUND: The urban-rural disparities in overweight and obesity among children and adolescents are narrowing, and there is a need for long-term and updated data to explain this inequality, understand the underlying mechanisms, and identify priority groups for interventions. METHODS: We analyzed data from seven rounds of the Chinese National Survey on Students Constitution and Health (CNSSCH) conducted from 1985 to 2019, focusing on school-age children and adolescents aged 7-18 years. Joinpoint regression was used to identify inflection points (indicating a change in the trend) in the prevalence of overweight and obesity during the study period, stratified by urban/rural areas and sex. Annual percent change (APC), average annual percent change (AAPC), and 95% confidence interval (CI) were used to describe changes in the prevalence of overweight and obesity. Polynomial regression models were used to predict the prevalence of overweight and obesity among children and adolescents in 2025 and 2030, considering urban/rural areas, sex, and age groups. RESULTS: The prevalence of overweight and obesity in urban boys and girls showed an inflection point of 2000, with AAPC values of 10.09% (95% CI: 7.33-12.92%, t = 7.414, P <0.001) and 8.67% (95% CI: 6.10-11.30%, t = 6.809, P <0.001), respectively. The APC for urban boys decreased from 18.31% (95% CI: 4.72-33.67%, t = 5.926, P = 0.027) to 4.01% (95% CI: 1.33-6.75%, t = 6.486, P = 0.023), while the APC for urban girls decreased from 13.88% (95% CI: 1.82-27.38%, t = 4.994, P = 0.038) to 4.72% (95% CI: 1.43-8.12%, t = 6.215, P = 0.025). However, no inflection points were observed in the best-fit models for rural boys and girls during the period 1985-2019. The prevalence of overweight and obesity for both urban and rural boys is expected to converge at 35.76% by approximately 2027. A similar pattern is observed for urban and rural girls, with a prevalence of overweight and obesity reaching 20.86% in 2025. CONCLUSIONS The prevalence of overweight and obesity among Chinese children and adolescents has been steadily increasing from 1985 to 2019. A complete reversal in urban-rural prevalence is expected by 2027, with a higher prevalence of overweight and obesity in rural areas. Urgent action is needed to address health inequities and increase investments, particularly policies targeting rural children and adolescents.
Humans ; Child ; Adolescent ; Female ; Male ; Rural Population/statistics & numerical data* ; Overweight/epidemiology* ; Prevalence ; China/epidemiology* ; Pediatric Obesity/epidemiology* ; Obesity/epidemiology* ; Urban Population

Objective: To explore the association between mental health and muscle strength among Chinese adolescents aged 13- 18, providing a theoretical foundation and intervention strategies for mental health promotion. Methods: Data were obtained from the 2019 Chinese National Survey on Students Constitution and Health, including 98 631 Chinese adolescents aged 13- 18. Psychological distress was assessed by using the Kessler Psychological Distress Scale (K10), and mental well being was measured with the Warwick-Edinburgh Mental Well being Scale (WEMWBS). Based on the gender and age specific Z scores of various test items [grip strength, standing long jump, pull ups (for males), and sit ups (for females)], muscle strength index (MSI) was constructed to evaluate the comprehensive level of muscle strength in adolescents. According to the Dual factor Model (DFM) of mental health, participants were categorized into four groups:troubled, symptomatic but content, vulnerable, and complete mental health. Gender differences were analyzed by using Chi-square tests, trends were tested with Cochran-Armitage tests, and multinomial Logistic regression models were applied to assess associations between muscle strength and mental health among adolescents. Results: In 2019, 37.4% of Chinese adolescents aged 13-18 were reported of high mental distress, and 59.9% were reported of low mental well being. Boys had significantly lower rates of high mental distress (35.3%) and low mental well being (55.6%) compared to girls (39.4%, 64.3%), and the differences were of statistical significance ( χ 2=176.13, 780.42, both P <0.05). In 2019, the rate of complete mental health among adolescents showed a downward trend with increasing age ( χ 2 trend = 258.47) and a gradual upward trend with increasing muscle strength levels ( χ 2 trend =123.14)，and both boys and girls exhibited similar trends ( χ 2 trend =103.83, 168.46; 57.00 , 67.34) (all P <0.05). The results of the unordered multiclass Logistic regression model showed that after controlling for confounding factors such as age and gender, when the completely pathological group as a reference, for every 1 unit increase in MSI in adolescents, the likelihood of being in a completely mental health state increased by 29% ( OR = 1.29); for every unit increase in the Z-score for pull ups, the likelihood of being in a completely mental health state increased by 6% ( OR =1.06) among boys; for every 1 unit increase in sit up Z score, the likelihood of being in a completely mental health state increased by 19% ( OR =1.19) among girls (all P <0.05). Conclusions The mental health status of Chinese adolescents is not good enough. Muscle strength is positively associated with mental health.

Basket trial, as an innovative clinical trial design concept, marks the transformation of medical research from the traditional large-scale and single-disease treatment to the precise and individualized treatment. By gradually incorporating the Bayesian method during development, the trial design becomes more scientific and reasonable and increases its efficiency. The fundamental principle of the Bayesian method is the utilization of prior knowledge in conjunction with new observational data to dynamically update the posterior probability. This flexibility enhances the basket trial's capacity to effectively adapt to variations during the research process. Consequently, it enables researchers to dynamically adjust research strategies based on accumulated data and improve the predictive accuracy regarding treatment responses. In addition, the design concept of the basket trial aligns with the traditional Chinese medicine(TCM) principle of "homotherapy for heteropathy". The principle of "homotherapy for heteropathy" emphasizes that under certain conditions, different diseases may have the same treatment. Similarly, basket trials allow using a uniform trial design across multiple diseases, offering enhanced operational and significant practical value in the realm of TCM, particularly within the context of syndrome-based disease research. By introducing basket trials, the design of TCM clinical studies will be more scientific and yield higher-quality evidence. This study systematically categorized various Bayesian methods and models utilized in basket trials, evaluated their strengths and weaknesses, and identified their appropriate application contexts, so as to offer a practical guide for designing basket trials in the realm of TCM.
Bayes Theorem ; Humans ; Medicine, Chinese Traditional/methods* ; Research Design ; Clinical Trials as Topic/methods* ; Drugs, Chinese Herbal/therapeutic use*

Objective To observe the effect of sacubitril valsartan combined with dapagliflozin on cardiac function and blood glucose fluctuation in elderly patients with chronic heart failure(CHF)and type 2 diabetes mellitus(T2DM).Methods The elderly patients with CHF and T2DM were divided into treatment group and control group.Patients in the control group were given irbesartan tablets,150 mg each time,metoprolol sustained-release tablets,qd,with an initial dose of 23.75 mg,and the dose was increased to 47.5 mg after 2 weeks,and dapagliflozin tablets was taken in the morning,qd,5 mg each time.If the patient was well tolerated,the dose was increased to 10 mg each time.The treatment group was given dapagliflozin tablets,qd,5 mg each time,and the dose was increased to 10 mg each time if the patient was well tolerated.At the same time,sacubitril valsartan sodium tablets was given,bid,50 mg each time.If the patient was well tolerated,the dose should be doubled every 2-4 weeks,not exceeding 200 mg each time.The two groups were treated for 6 months.The cardiac function,blood glucose fluctuation,drug safety and prognosis were compared between the two groups.Results Forty-seven cases and forty-nine cases were included in the treatment and control group,respectively.After treatment,the total effective rates in the treatment and control group were 93.62％(44 cases/47 cases)and 79.59％(39 cases/49 cases),and there were significant differences(P＜0.05).After treatment,left ventricular ejection fraction(LVEF)in the treatment group group and the control group were(55.34±8.22)and(46.59±6.80)％;cardiac indexes(CI)were(2.54±0.41)and(2.37±0.39)L·min-1·m-2;postprandial glucose excursions(PGE)were(1.45±0.31)and(1.86±0.46)mmol·L-1;the largest amplitudes of glycemic excursions(LAGE)were(3.42±1.05)and(4.47±1.39)mmol·L-1;the incidence rates of major cardiovascular adverse events(MACE)were 4.26％(2 cases/47 cases)and 2.13％(1 cases/47 cases);readmission rates were 18.37％(9 cases/49 cases)and 14.29％(7 cases/49 cases).There were statistically significant differences in the above indexes between the treatment group and the control group.(all P＜0.05).The adverse drug reactions in the treatment group were urinary tract infection and hypotension,and the adverse drug reactions in the control group were urinary tract infection and angioedema,and the total adverse drug reaction rate of the two groups was 6.38％(3 cases/47 cases)and 4.08％(2 cases/49 cases),and there was no statistical significance(P＞0.05).Conclusion The combined treatment of sacubitril valsartan sodium tablets and dapagliflozin tablets can improve cardiac function,reduce blood glucose fluctuation,increase the total effective rate,and improve the prognosis of elderly patients with CHF and T2DM,with good drug safety.

Objective To investigate the distribution and antimicrobial susceptibility of clinically isolated bacteria from intensive care units(ICUs)in hospitals of Hunan Province Antimicrobial Resistance Surveillance System from 2012 to 2021.Methods According to China Antimicrobial Resistance Surveillance System,data of clinically isolated bacterial strains and antimicrobial susceptibility testing results of bacteria from ICUs reported by all member units of Hunan Province Antimicrobial Resistance Surveillance System were analyzed with WHONET 2022 software.Results From 2012 to 2021,the total number of bacteria isolated from ICUs of member units of the Hunan Province Antimi-crobial Resistance Surveillance System was 5 777-22 369,with Gram-negative bacteria accounting for 76.1％-78.0％annually.Staphylococcus aureus ranked first among isolated Gram-positive bacteria each year.The top 5 bacteria among Gram-negative bacteria were Acinetobacter baumannii,Klebsiella pneumoniae,Escherichia coli,Pseudo-monas aeruginosa,and Stenotrophomonas maltophilia.Detection rate of methicillin-resistant Staphylococcus aureus showed a downward trend year by year.No Staphylococcus spp.were found to be resistant to vancomycin,teico-planin and linezolid.Detection rates of vancomycin-resistant Enterococcus faecalis and vancomycin-resistant Entero-coccus faecium were 0.6-1.1％and 0.6％-2.2％,respectively.Resistance rates of Escherichia coli and Kleb-siella pneumoniae to imipenem were 3.1％-5.7％and 7.7％-20.9％,respectively.Resistance rates of Pseudo-monasaeruginosa and Acinetobacter baumannii to imipenem were 24.6％-40.1％and 76.1％-80.9％,respective-ly.Detection rates of carbapenem-resistant Pseudomonas aeruginosa declined year by year.Acinetobacter baumannii maintained high susceptibility to polymyxin B,with resistance rate＜10％.Conclusion Antimicrobial resistance of bacteria from ICUs is serious.Carbapenem-resistant Enterobacteriales has an upward trend after 2019.It is nece-ssary to strengthen the surveillance of bacterial resistance and carry out multidisciplinary collaboration.

Objective:To describe the current distribution of daily physical activity time among ele-mentary and junior high school students in Beijing,and to analyze the influencing factors and pathways at the individual,family,school and community levels.Methods:Data were drawn upon from a cross-sectional investigation in Beijing in 2023,and a total of 3 157 elementary and junior high school students were included in the final analysis.Questionnaire was used to collect data on basic characteristics,over-all and in-school physical activity time per day,the number of sports mastered,perceived physical activi-ty benefits and barriers scales,perceived family,school,and community physical activity supportive en-vironment scales.Log-binomial regression model was used to analyze the associations between physical activity time and influencing factors,and structural equation modeling was used for the path analysis of the influencing factors.Results:The reported rates of ≥ 2 hours of overall physical activity per day and≥1 hour of physical activity in school per day among elementary and junior high school students in Beijing in 2023 were 33.1％and 64.8％,respectively.The associations between the number of sports mastered by students and the reported rate of ≥2 hours of overall physical activity per day showed a typical dose-response relationship(P-trend＜0.001).The perceived physical activity benefits-to-barriers ratio(PR=1.24,95％CI:1.20-1.28),scores of perceived family,school,and community physical acti-vity supportive environment scales were all positively associated with the reported rate of≥2 hours of overall physical activity per day(PR=1.51,95％CI:1.38-1.66;PR=1.50,95％CI:1.37-1.64;PR=1.21,95％CI:1.16-1.27).The structural equation modeling showed that the number of sports mastered by the students(β=0.11,P＜0.001),perceived physical activity benefits-to-barriers ratios(β=0.15,P＜0.001),and scores of supportive environment scales consisting of family,school,and community(β=0.13,P＜0.001)were associated with the reported rates of ≥2 hours of overall physi-cal activity per day directly.In addition,the scores of supportive environment scales could indirectly in-fluence the reported rates of ≥2 hours of overall physical activity per day by influencing the number of sports mastered by the students(β=0.21,P＜0.001)and the perceived physical activity benefits-to-barriers ratio(β=0.56,P＜0.001),while the number of sports mastered by the students could indi-rectly influence the reported rates of ≥2 hours of overall physical activity per day by influencing the per-ceived physical activity benefits-to-barriers ratios(β=0.05,P=0.003).The influencing factors and pathways of the reported rates of ≥ 1 hour of physical activity in school per day were similar with those of the reported rates of ≥2 hours of overall physical activity per day described above.Conclusion:The dai-ly physical activity time among elementary and junior high school students in Beijing in 2023 fell short of meeting the national requirement.There was a need to build a supportive environment consisting of fami-ly,school,and community for physical activity,to promote the students'sports skills,to establish the idea of independent physical activity,and to ensure that primary and secondary school students were given one hour of physical activity time every day,both inside and outside the school.

Deep vein thrombosis(DVT)is a common peripheral vascular disease in clinical practice.The lack of precise and efficient early diagnostic techniques renders it susceptible to being overlooked or misdiagnosed,and therefore,identifying trustworthy biomarkers is a major issue that has to be resolved.In this study,the endogenous metabolites in the urine of DVT rats were screened by metabolomics technology based on gas chromatograph-mass spectrometry(GC-MS)and the characteristic metabolites were identified by multiple feature selection algorithms and multivariate statistical analysis,for the development of a machine learning-based diagnostic model for DVT.The urine samples in metabolic cage in the thrombus development phase(between 48 and 72 h)of rats were collected,which was used as the models for inferior vena cava ligation.The metabolic profiles of the control group and DVT were obtained using the GC-MS method.A total of 176 kinds of endogenous metabolites were identified in rat urine through comparison with the FiehnLib database,26 kinds of differential metabolites associated with DVT were screened through a combination of the Mann-Whitney U test and orthogonal partial least squares discriminant analysis(OPLS-DA),and 13 kinds of significant metabolites strongly correlated with DVT were further evaluated in conjunction with various machine learning feature selection techniques.For DVT diagnosis,machine learning models such as Gaussian Naive Bayes(GNB),support vector machine(SVM),logistic regression(LR),and linear discriminant analysis(LDA)were developed.The diagnostic model constructed using 13 kinds of key metabolites demonstrated excellent accuracy and stability,and surpassed the predictive performance of the models utilizing 176 kinds of metabolites and 26 kinds of differential metabolites,as evidenced by examination and comparison of each model's efficacy.The study showed that the integration of multiple feature selection algorithms for analyzing metabolite information in DVT rat urine was capable of effectively identifying reliable potential markers of DVT.Furthermore,the developed machine learning model offered a novel technical approach for the automated diagnosis of DVT.

Objective:To evaluate the analgesic effects of lidocaine cream and ice application during botulinum toxin type A treatment on bilateral gastrocnemius hypertrophy.Methods:A retrospective study was conducted, including 60 patients who underwent botulinum toxin type A treatment for bilateral gastrocnemius hypertrophy at Peking University Shenzhen Hospital from January 2020 to January 2022. Patients were divided into two groups based on the analgesic methods: lidocaine surface anesthesia group (lidocaine group, 30 cases) and ice application analgesia group (ice group, 30 cases). The lidocaine group consisted of 2 males and 28 females, with a mean age of (27.0±5.0) years, while the ice group consisted of 30 females, with a mean age of (26.2±4.4) years. Depending on individual needs, 100-200 U of botulinum toxin type A was injected into the calf muscle of each patient. In the lidocaine group, nurses applied lidocaine cream to the injection area and covered it with a film before injection. In the ice group, nurses used custom-made ice packs to surround the injection site for 10 minutes. Pain levels were assessed using the visual analog scale (VAS) during injection, including pain scores for needle puncture and drug injection. The incidence of postoperative adverse reactions and patient satisfaction rates were also recorded.Results:The VAS score for needle puncture pain was (2.60±1.25) in the lidocaine group and (2.30±1.12) in the ice group, with no statistically significant difference ( P=0.331). However, the VAS score for drug injection pain was significantly higher in the lidocaine group (3.47±1.25) than that in the ice group (2.77±1.28, P=0.036). The overall analgesic VAS score was (3.37±1.16) in the lidocaine group, also significantly higher than that (2.60±1.25) in the ice group ( P=0.017). Two patients in the lidocaine group experienced localized swelling, and one reported localized itching with a rash, while no adverse reactions were observed in the ice group. Patient satisfaction rates were 86.7% (26/30) in the lidocaine group and 93.3% (28/30) in the ice group. Conclusions:Ice application provides superior analgesic effects compared to lidocaine cream surface anesthesia during botulinum toxin type A treatment for bilateral gastrocnemius hypertrophy.

Objective:To compare the impact of Monte Carlo (MC) algorithm grid spacing (GS) and statistical uncertainty (SU) of Monaco on clinical plan validation gamma pass rate, and to provide reference for daily patient-specific quality assurance (PSQA).Methods:Twenty patients treated in Chinese Academy of Medical Sciences and Peking Union Medical College Cancer Hospital & Shenzhen Hospital from July to November 2023 were retrospectively selected, including 5 cases of nasopharyngeal carcinoma in the head, 2 cases of lung cancer, 3 cases of esophageal cancer, 5 cases of breast cancer in the chest, 4 cases of cervical cancer, 1 case of rectal cancer in the abdomen, respectively. All selected patient plans were re-measured on the same day by the same physicist on the same machine to obtain dose distribution files. Three types of GS of Monaco, including 2 mm, 3 mm, and 4 mm (GS2、GS3、GS4), and 5 types percentage of SU, including SU CP1, SU CP2, SU CP3, SU CP4, and SU CL1 were selected. The validation plans were recalculated, with a total of 15 validation plans for each clinical plan. Using a 3%/2 mm evaluation standard, the gamma pass rates of each plan at different GS and SU were analyzed. The gamma pass rates of different GS and SU in the same case plan were analyzed by paired sample t-test. Results:Based on the gamma pass rate of GS2, the differences in gamma pass rates between different GS for the same SU were statistically significant (all P<0.05). For SU CP1, the gamma pass rates of GS3 and GS4 were decreased by 0.4% and 1.4% compared to GS2, respectively. For SU CP2, the gamma pass rates of GS3 and GS4 were decreased by 0.5% and 1.5% compared to GS2, respectively. For SU CP3, the gamma pass rates of GS3 and GS4 were decreased by 0.5% and 1.5% compared to GS2, respectively. For SU CP4, the gamma pass rates of GS3 and GS4 were decreased by 0.5% and 1.5% compared to GS2, respectively. For SU CL1, the gamma pass rates of GS3 and GS4 were decreased by 0.7% and 2.0% compared to GS2, respectively. Based on the gamma pass rate of SU CP1, for the same GS but different SU, there was no statistically significant difference in the gamma pass rate of the SU selected in this study at GS2. However, at GS3 and GS4, the difference between SU CP4 and SU CL1 compared to SU CP1 was statistically significant (at GS3, P=0.049 and 0.012; at GS4, P=0.045 and <0.001), with gamma pass rates reduced by 0.1%, 0.4%, 0.2% and 0.6%, respectively. Conclusions:Both GS and SU values affect the gamma pass rate of PSQA to a certain extent. It is recommended to use Monaco MC algorithm for daily PSQA, selecting GS2 and SU with SU CL1 to calculate the validation plan.

YY 0585.4-2009 and ISO 8536-12:2021 standards were compared in terms of the blocking performance test method of disposable check valves for infusion equipment.The affecting factors and possible errors were analyzed when the blocking performance test was carried out according to YY 0585.4-2009,and it's pointed out ISO 8536-12:2021 gained advantages over YY 0585.4-2009 in the blocking performance test method of check valves.References and guidance were provided for standard revision and actual operation.[Chinese Medical Equipment Journal,2024,45(9):78-83]