Objective:To investigate the prevalence and risk factors of overweight and obesity among Chinese children aged 3-18 years from 11 provinces, antonomous regions, or municipalities.Methods:This national cross-sectional community health survey utilized a multistage stratified cluster-random sampling method to recruit 193 997 nationally representative participants from 11 provinces, autonomous regions, or municipalities between January 2017 and December 2019. All participants underwent physical examinations, and their caregivers completed questionnaires assessing participants′ dietary, lifestyle, familial, and perinatal information. Multilevel multinomial logistic regression models were employed to identify the potential risk factors.Results:The cohort comprised 193 997 children (102 178 boys, 91 819 girls),aged (10±4) years. Overall prevalence rates were 30 574(15.8%)overweight children and 17 217(8.9%) obesity children. Boys exhibited higher overweight and obesity rates than girls (17.0% (17 368/102 178) vs. 14.4% (13 206/102 178), 11.3% (11 553/91 819) vs. 6.2% (5 664/91 819), χ2=249.12,1 578.69,both P<0.001). The detection rates of obesity in Tanner stage 2 and 3 were the highest in boys and girls, with 13.4%(2 231/16 665) and 8.6%(880/10 221) respectively. Risk factors for obesity included parental overweight (paternal OR=2.34 and maternal OR=2.29), annual household income of 100 000-200 000 yuan (compared with<100 000 yuan, OR=1.04), higher paternal education (compared with below high school,high school and a college education OR=1.09,1.14), birth weight >4.0 kg (≤5 and>5 years old OR=1.74, 1.44,respectively), and western food consumption≥1 time/month (compared with<1, 1-2, 3-4,>4 times/month OR=1.36, 1.30, 1.67(≤5 years), 1.19, 1.16, 1.15 (>5 years), respectively) (all P<0.05). Conversely, coarse grain intake≥1 times/week (compared with<1 times/week, every day, 3-4, 1-2 times/week OR=0.74, 0.80, 0.71 (≤5 years), 0.75, 0.87, 0.90(>5 years), respectively, all P<0.05) was associated with reduced obesity risk. Conclusions:Obesity epidemiology in children demonstrates significant heterogeneity across age, gender, geographic regions, and pubertal stages. It is necessary to establish a personalized prevention and control strategy.

ObjectiveTo explore the process and guidelines for ethical review in decentralized drug clinical trials， promote clinical trial progress， and ensure drug development progress. MethodsThe key points of the ethical review were summarized by studying the relevant laws and regulations on decentralized drug clinical trials， analyzing the advantages and challenges of decentralized drug clinical trials， and combining the experience of the ethics committee of the institution in reviewing decentralized drug clinical trials. ResultsRelevant laws and regulations were the basis for the ethical review， and the ethics committee should adopt appropriate review methods based on regulations and hospital ethical standard operating procedures. The ethics committee should focus on the feasibility， applicability， and rationality， the adequacy of informed consent， the protection of rights and interests and privacy of subjects， as well as the qualification and standard operating procedures of electronic platforms for conducting decentralized drug clinical trials. ConclusionDecentralized drug clinical trials are in their early stages and urgently require guidance from relevant laws and regulations. Ethical review is also constantly being refined through exploration. It is necessary to supervise the implementation of responsibilities by all parties， pay attention to the rights and interests of subjects， and gradually promote the implementation of decentralized drug clinical trials.

Mutations in the IARS1 gene are rare in clinical practice， and up to now， only ten cases with detailed clinical and genetic data have been recorded in the literature. This article reports a case of growth retardation， intellectual developmental disorder， hypotonia， and hepatopathy （GRIDHH） associated with single heterozygous mutations in the IARS1 gene and summarizes the clinical and genetic features of GRIDHH， thereby expanding the genetic spectrum of GRIDHH.

Objective:To investigate the incidence, risk factors, and outcomes of falls among the elderly community population in Beijing.Methods:A cross-sectional survey was conducted using stratified multistage random sampling to select urban and rural residents aged 65 years and older in Beijing. Mortality data was collected after the baseline survey for 5 years. The incidence of falls was weighted based on the composition ratios of age and gender from the 2010 Nation-wide Population Census of Beijing. A logistic regression model was used to analyze the impacts of demographic sociology of common chronic diseases on fall occurrence. The Cox proportional hazards regression model was used to analyze the fall and 5-year survival association.Results:A total of 2 968 participants completed the questionnaire, at cross-sectional survey, with an average age of (73.2±6.0) years, and 1 581 (53.8%) participants were female. Three hundred and sixty-one individuals experienced a fall within the past year. Among those who fell, 64 (17.7%) fell twice, and 95 (26.6%) fell three or more times. Of them, 14.4% (52) had post-fall fractures, with the wrist, knee, and hip being the most common fracture sites, accounting for 25.0%, 17.3%, and 15.4%, respectively. The weighted fall incidence was 12.4% (95% CI: 11.2%-13.5%). Aging, being female, and living in rural areas were more likely to fall. Logistic regression analysis showed that after adjusting for age, gender, and urban-rural status, the risk of falls for those living alone ( OR=1.48, 95% CI: 1.08-2.04) or living with children/grandchildren ( OR=1.51, 95% CI: 1.15-1.97) were significantly higher than those living with their spouse. In addition, the risk of falls was elevated significantly among the elderly with hypertension, diabetes, stroke, dementia, depression status, urinary incontinence, arthritis, insomnia, vision, and hearing loss, dependence on activities of daily living (ADL), general and poor self-rated health (SRH). The Cox proportional hazard regression model revealed that the 5-year risk of death increased by 65% ( HR=1.65, 95% CI: 1.29-2.11) for those who experienced a fall, which increased with fall frequency. This elevated risk persisted after adjusting for chronic conditions, ADL, and SRH. Conclusions:Ageing, female, living in rural regions, having common chronic diseases, dependence on ADL, general and poor SRH, living alone or living with children/grandchildren were associated with the elevated fall risk. The occurrence of fall was seasonal. The most common short-term adverse consequence after a fall was fractures, while the long-term effect was an increased risk of death.

Objective:To investigate the incidence, risk factors, and outcomes of falls among the elderly community population in Beijing.Methods:A cross-sectional survey was conducted using stratified multistage random sampling to select urban and rural residents aged 65 years and older in Beijing. Mortality data was collected after the baseline survey for 5 years. The incidence of falls was weighted based on the composition ratios of age and gender from the 2010 Nation-wide Population Census of Beijing. A logistic regression model was used to analyze the impacts of demographic sociology of common chronic diseases on fall occurrence. The Cox proportional hazards regression model was used to analyze the fall and 5-year survival association.Results:A total of 2 968 participants completed the questionnaire, at cross-sectional survey, with an average age of (73.2±6.0) years, and 1 581 (53.8%) participants were female. Three hundred and sixty-one individuals experienced a fall within the past year. Among those who fell, 64 (17.7%) fell twice, and 95 (26.6%) fell three or more times. Of them, 14.4% (52) had post-fall fractures, with the wrist, knee, and hip being the most common fracture sites, accounting for 25.0%, 17.3%, and 15.4%, respectively. The weighted fall incidence was 12.4% (95% CI: 11.2%-13.5%). Aging, being female, and living in rural areas were more likely to fall. Logistic regression analysis showed that after adjusting for age, gender, and urban-rural status, the risk of falls for those living alone ( OR=1.48, 95% CI: 1.08-2.04) or living with children/grandchildren ( OR=1.51, 95% CI: 1.15-1.97) were significantly higher than those living with their spouse. In addition, the risk of falls was elevated significantly among the elderly with hypertension, diabetes, stroke, dementia, depression status, urinary incontinence, arthritis, insomnia, vision, and hearing loss, dependence on activities of daily living (ADL), general and poor self-rated health (SRH). The Cox proportional hazard regression model revealed that the 5-year risk of death increased by 65% ( HR=1.65, 95% CI: 1.29-2.11) for those who experienced a fall, which increased with fall frequency. This elevated risk persisted after adjusting for chronic conditions, ADL, and SRH. Conclusions:Ageing, female, living in rural regions, having common chronic diseases, dependence on ADL, general and poor SRH, living alone or living with children/grandchildren were associated with the elevated fall risk. The occurrence of fall was seasonal. The most common short-term adverse consequence after a fall was fractures, while the long-term effect was an increased risk of death.

Objective:To investigate the prevalence and risk factors of overweight and obesity among Chinese children aged 3-18 years from 11 provinces, antonomous regions, or municipalities.Methods:This national cross-sectional community health survey utilized a multistage stratified cluster-random sampling method to recruit 193 997 nationally representative participants from 11 provinces, autonomous regions, or municipalities between January 2017 and December 2019. All participants underwent physical examinations, and their caregivers completed questionnaires assessing participants′ dietary, lifestyle, familial, and perinatal information. Multilevel multinomial logistic regression models were employed to identify the potential risk factors.Results:The cohort comprised 193 997 children (102 178 boys, 91 819 girls),aged (10±4) years. Overall prevalence rates were 30 574(15.8%)overweight children and 17 217(8.9%) obesity children. Boys exhibited higher overweight and obesity rates than girls (17.0% (17 368/102 178) vs. 14.4% (13 206/102 178), 11.3% (11 553/91 819) vs. 6.2% (5 664/91 819), χ2=249.12,1 578.69,both P<0.001). The detection rates of obesity in Tanner stage 2 and 3 were the highest in boys and girls, with 13.4%(2 231/16 665) and 8.6%(880/10 221) respectively. Risk factors for obesity included parental overweight (paternal OR=2.34 and maternal OR=2.29), annual household income of 100 000-200 000 yuan (compared with<100 000 yuan, OR=1.04), higher paternal education (compared with below high school,high school and a college education OR=1.09,1.14), birth weight >4.0 kg (≤5 and>5 years old OR=1.74, 1.44,respectively), and western food consumption≥1 time/month (compared with<1, 1-2, 3-4,>4 times/month OR=1.36, 1.30, 1.67(≤5 years), 1.19, 1.16, 1.15 (>5 years), respectively) (all P<0.05). Conversely, coarse grain intake≥1 times/week (compared with<1 times/week, every day, 3-4, 1-2 times/week OR=0.74, 0.80, 0.71 (≤5 years), 0.75, 0.87, 0.90(>5 years), respectively, all P<0.05) was associated with reduced obesity risk. Conclusions:Obesity epidemiology in children demonstrates significant heterogeneity across age, gender, geographic regions, and pubertal stages. It is necessary to establish a personalized prevention and control strategy.

Objective:To establish HPLC fingerprints of Aristolochia contorta and honey-processed Aristolochia contorta; To analyze the changes of chemical components before and after honey processing with multivariate statistics; To provide a reference for the study on the toxicity reduction of Aristolochia contorta.Methods:The fingerprints of 11 batches of Aristolochia contorta and honey-processed Aristolochia contorta were established through HPLC. Clustering analysis (HCA), principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and independent sample t-test were used to compare the changes of chemical components of Aristolochia contorta before and after honey processing.Results:The results showed that there were 14 common peaks in the fingerprints of Aristolochia contorta and Aristolochia contorta. 7 common peaks were identified. Both HCA and PCA could clearly distinguish the samples of Aristolochia contorta before and after honey processing. OPLS-DA found and screened 7 differential markers, and the order of difference significance was peak 3 > peak 7 (7-hydroxy aristolochic acid A) > peak 5 (aristolochic acid C)> peak 8 (aristolochic acid D) > peak 6 > peak 2 (Magnolia alkaloid) > peak 14 (aristolochic acid Ⅰ). After honey processing, the content of chemical components represented by peaks 2, 3, 5, 6, 7, 8 and 14 decreased ( P<0.05). Conclusion:This method is simple and specific, which can be used for the fingerprint analysis of Aristolochia contorta and honey-processed Aristolochia contorta, and can effectively distinguish Aristolochia contorta and honey-processed Aristolochia contorta, and provide a reference for the processing research of toxicity reduction of Aristolochia contorta honey processing.

Objective:To investigate the efficacy and safety of oral testosterone therapy in individuals diagnosed with androgen insensitivity syndrome (AIS).Methods:A self-controlled study design was utilized, focusing on individuals with AIS who were genetically diagnosed at the Department of Endocrinology, Genetics, and Metabolism of Beijing Children′s Hospital between 2009 and 2021. These patients underwent treatment involving the administration of testosterone. The primary observed indexes include the measurement of penis length, which should meet the minimal surgical standard (penis length≥2.5 cm) or greater than or equal to -2.5 s (lower limit of normal). Secondary observed indexes include penile length standard deviation score (PL-SDS), an increase in penis longitude (ΔPL), medication dosage, the course of therapy, and safety indicators, among others. There were 4 courses of treatment. After each course, patients were evaluated to determine whether termination of treatment was appropriate. Patients who exhibited inadequate post-treatment penile length growth were advised to continue with further treatment. The statistical methodology included t-test, and a Wilcoxon rank sum test to describe efficacy and safety. The patients were followed up until 2023. Results:The study comprised a total of 51 individuals with AIS, comprising 33 males and 18 females (gender of registered permanent residence). Among these patients, 10 were diagnosed with complete androgen insensitivity syndrome (CAIS) and 41 were diagnosed with partial androgen insensitive syndrome (PAIS). There were 2 children with CAIS were diagnosed by doctors and prescribed testosterone undecanoate, but the children did not really take medicine.The penile length of CAIS patients could not be measured (penile length<0.5 cm) before and after treatment. For PAIS patients, baseline penile length and PL-SDS were (2.3±0.6) cm and -3.7±1.3, respectively. The measurements for penile length and PL-SDS after each treatment course were recorded as follows: (2.7±0.8), (2.8±0.6), (2.6±0.4), (2.6±0.4) cm and -2.8±1.6, 2.5±1.6, 2.9±1.2, -3.2±0.9, respectively. Both penile length and PL-SDS interventions showed statistically significant gains when compared to the baseline performance of the 4 courses ( t=4.05、3.56、2.55、2.23 and 3.88、3.50、2.50、2.19, all P<0.05). Before treatment, 13 PAIS patients (32%) reached 2.5 cm and seven (17%) reached greater than or equal to -2.5 s. Following the initial, subsequent, third, and fourth therapeutic interventions, 18 cases (44%), 24 cases (59%), 25 cases (61%), and 26 cases (63%) reached 2.5 cm, respectively. Additionally, A total of 12 cases (29%), 15 cases (37%), 20 cases (49%), and 21 cases (51%), respectively, were found to reach greater than or equal to -2.5 s. The study involved the longitudinal monitoring of patients with the highest recorded age being 13.7 years. The weight, height, body mass index, bone age/age, cholesterol, hemoglobin and so on were all within the normal range and the difference were not statistically significant (all P>0.05). All 49 patients were no abnormalities in blood electrolyte, liver and kidney function and thyroid function and no changes in precocious puberty, pubic hair growth, aggressive behavior, vulvar skin darkening, diarrhea or other conditions. Conclusions:Testosterone undecanote in children with CAIS was no effective. The initial course of treatment for patients with PAIS demonstrates observable enhancements in penile length and PL-SDS. For patients with inadequate penile length growth, continued treatment in subsequent courses (such as the second, third, and fourth courses) is recommended toenhance outcomes gradually. Testosterone undecanoate was safe and effective for the majority of individuals with PAIS patients, with few adverse effects and good treatment tolerance.

Graves′ disease (GD) is the most prevalent cause of hyperthyroidism in children, posing a significant threat to their normal growth and development.The incidence of GD is increasing year by year.Antithyroid drugs are the preferred treatment for GD in children, which can alleviate immune disorders and normalize thyroid function in a short period of time.However, there are still numerous unsolved problems and controversies surrounding this treatment, and the challenges that need to be overcome include the low remission rate, high recurrence rate and high incidence of adverse reactions.The key challenges facing antithyroid drug therapy are how to normalize thyroid function quickly, maintain therapeutic efficacy and reduce recurrence rate, and further studies are needed to improve the effectiveness and safety of the therapy.This article summarizes and reviews the therapeutic strategies, controversies and adverse reactions of antithyroid drugs for GD in children and adolescents.

Objective:The classification model of prognosis of elderly cancer patients in rural areas of Shaanxi province was constructed based on machine learning algorithm, and its effectiveness was verified, providing reference for early prognosis recognition and intervention treatment.Methods:Using a multicenter, cross-sectional survey method and convenience sampling method, 597 elderly cancer patients in rural areas hospitalized in 9 different medical institutions (Shaanxi Cancer Hospital and its member units of specialty alliance) in Shaanxi Province from July to August 2022 were selected as the research objects, and a variable database of "basic information", "self-care ability", "symptoms", "comprehensive needs" and "quality of life" of elderly cancer patients in rural areas was established. Machine learning and statistical analysis were carried out to explore the important prognostic characteristics of elderly cancer patients in rural areas, and a prognostic classification model for elderly cancer patients in rural areas was constructed and verified.Results:The 597 valid questionnaires were ultimately collected.Among the 597 elderly cancer patients in rural areas, 207 were males and 390 were females, aged (69.56 ± 8.84) years. The results of cluster exploration showed that the prognosis of elderly cancer patients in rural areas was divided into three categories: good, medium and poor. The areas under the working characteristic curves of the subjects in good, medium and poor were 0.84, 0.79 and 0.69, respectively. The results of characteristic exploration showed that 10 indicators of "whether accompanied by metastasis", "distress", "sadness", "numbness", "eating", "walking", "fatigue", "forgetfulness", "fun of life" and "relationship with others" were important characteristic indicators of prognosis evaluation of elderly cancer patients in rural areas. There were statistically significant differences among the 10 important characteristic indicators in the three categories of prognosis of rural elderly cancer patients ( χ2=21.07, H values were 18.51-144.38, all P<0.01). There were statistically significant differences in the three categories of "comprehensive needs", "quality of life", "self-care ability" and "symptoms" ( H values were 519.40, 40.80, 103.69, all P<0.01). Conclusions:The construction and verification of a prognostic classification model for elderly cancer patients in rural areas based on machine learning algorithm can effectively explore the important characteristic indicators and prognostic classification of elderly cancer patients in rural areas, and provide basis and guidance for clinical medical staff to make individualized plans.