Abstract To analyzes the characteristics, problems and enlightenment of physical activity observation tools, so as to provide reference for researchers to quickly and accurately choose appropriate observation tools to evaluate children s and adolescents physical activity. Literature search is conducted in eight databases of Chinese and English, including CNKI, Wanfang, VIP, Web of Science, PubMed, Medline, ERIC, and SPORTDiscus. Ultimately, eight observation tools for assessing physical activity in children and adolescents are included. Through summarization and comparison, it is found that the applications of those tools cover multiple age groups, the observation indicators cover multiple dimensions for each with varying emphases, and the applicable contexts vary in their specific background information, and recording methods tend to be quantitative. However, several issues remain to be addressed in practical applications. First, the observation indicators need to be supplemented and improved; second, physical activity in community environments and academic classrooms requires further attention; third, physical activity intensity needs to be scientifically evaluated; fourth, observation and recording methods need to be integrated and innovated; fifth, the number of observation subjects needs to be expanded. Future research could focus on developing observation tools tailored to the characteristics of Chinese children and adolescents, while drawing on foreign observation tools to comprehensively assess physical activity among children and adolescents.

As a key member of the insulin-like growth factor family， insulin-like growth factor-‍Ⅰ （IGF-‍Ⅰ） is mainly synthesized in the liver and is widely distributed in the human body， and it is involved in the physiological processes such as cell proliferation， differentiation， metabolism， and apoptosis. Studies have shown that the level of IGF-‍Ⅰ is negatively correlated with the severity of liver cirrhosis， and IGF-‍Ⅰ mainly affects the progression of liver cirrhosis by inhibiting liver fibrosis， promoting DNA damage repair， and regulating lipid metabolism. Monitoring of IGF-‍Ⅰ level is expected to provide an evaluation indicator for improving the prognosis of patients with liver cirrhosis， and stimulating the action pathway of IGF-‍Ⅰ or regulating its expression level may become a new method for the treatment of liver cirrhosis. This article reviews the research advances in IGF-‍Ⅰ in liver cirrhosis， in order to provide new ideas for the diagnosis and treatment of liver cirrhosis.

OBJECTIVE To develop a population pharmacokinetic （PPK） model for mycophenolate mofetil active metabolite mycophenolic acid （MPA） in children with primary IgA nephropathy， explore the factors affecting the pharmacokinetic parameters of MPA， and provide a basis for clinical individualized therapy. METHODS Retrospective collection was conducted on 636 concentrations and clinical data from 47 pediatric patients with primary IgA nephropathy. PPK analysis was carried out by using the nonlinear mixed-effects model； the covariates were tested with a stepwise method. Goodness-of-fit plots， Bootstrap and visual predictive check were employed to evaluate the final model. RESULTS The pharmacokinetics of MPA in children with IgA nephropathy in vivo conformed to the first-order absorption and elimination two-compartment model （objective function value of 3 276.31）. Covariate analysis suggested that body weight and albumin （ALB） levels were significant influencing factors on apparent clearance rate and apparent distribution volume. The typical values of PPK parameters of MPA in the final model were as follows： the central room had a distributed volume of 5.79 L， the clearance rate was 4.06 L/h， the volume of peripheral ventricular distribution was 430.93 L， the clearance rate between compartments was 15.40 L/h， the oral absorption rate constant was 1.29 h－1. After verification， most of the predicted corrected observed concentration points were within the 90% confidence interval of the predicted corrected simulated concentration， indicating that the MPA final model had good predictive performance. CONCLUSIONS The PPK model of MPA in children with primary IgA nephropathy is established in this study， identifying body weight and ALB levels are significant factors affecting MPA metabolism.

Bladder cancer is one of the most common malignant tumors in the urinary system. There are a large number of bladder cancer patients globally, concentrated in the middle-aged and old-aged population, and some of them are first diagnosed with muscle invasive bladder cancer or metastatic bladder cancer, with a poor prognosis. In China, bladder cancer has become one of the most important tumors of the urinary system, with its incidence and mortality increasing year by year. The susceptibility of bladder cancer is affected by a combination of environmental and genetic factors, similar to the global trend. Smoking is considered to be one of the most important environmental risk factors for bladder cancer, which is closely related to the pathogenesis of bladder cancer and is one of the major public health problems in China. In terms of genetics, previous studies have shown that polymorphisms in cell cycle regulatory genes, tumor angiogenesis regulatory genes, DNA damage repair genes, and carcinogen metabolism enzyme regulatory genes can significantly affect the risk of bladder cancer in individuals. In recent years, with the development of environmental genomics research, the joint effect of smoking and gene variants on the susceptibility to bladder cancer has also received widespread attention. Exploring the joint effects will help to identify potential susceptibility biomarkers of bladder cancer and provide an important theoretical basis for its prevention and control. In this review, the joint effects of smoking and gene variants on bladder cancer susceptibility were elaborated.

Objective To investigate the status quo of pain catastrophizing(PC)in the patients with di-abetic peripheral neuropathic pain(DPNP),and to analyze the influencing factors to provide reference for for-mulating clinical preventive intervention strategies.Methods A total of 206 patients with DPNP admitted and treated in the People's Hospital of Guangxi Zhuang Autonomous Region were selected as the research sub-jects by convenience sampling method.The general data questionnaire,Numerical Rating Scale(NRS),Pain Catastrophizing scale(PCS),Perceived Social Support Scale(PSSS)and diabetes distress scale(DDS)were used to conduct the investigation.Results The incidence rate of PC in 206 cases of DPNP patients was 44.66％(92/206),and the total score of PCS was(30.10±5.16)points.The results of multiple linear regres-sion analysis showed that the gender,duration of diabetes(≥10 years),multiple drug use,number of compli-cations(＞5),NRS score,PSSS score and scores of DDS dimensions were the main influencing factors of PC(all P＜0.05),which could explain 92.3％of the total variation of PC.Conclusion The PC incidence rate in the patients with DPNP is high.Clinical healthcare workers should pay attention to the evaluation of PC in these patients,and formulate the scientific and effective targeted intervention measures according to the main influen-cing factors to help the patients to reduce the pain burden in order to reduce the level of PC.

Objective To investigate the key elements for model establishment and determine the evaluation indicators of animal models for pelvic inflammatory disease(PID),providing a reference for improving modelling methods and optimizing the application of PID animal models.Methods The search query"Pelvic Inflammatory Disease"AND"Animal Model"OR"Rat"OR"Mouse"OR"Guinea Pig"OR"Rabbit"OR"Dog"OR"Pig"was used to retrieve relevant literature on PID animal models published from 2013 to 2023 in China Knowledge Network Infrastructure(CNKI),Wanfang,and PubMed databases.The studies were analyzed and categorized based on experimental animal types,modelling methods,modelling cycles,detection indicators,positive control drugs,and administration duration.A database was established for statistical analysis.Results A total of 214 research articles on PID animal models meeting the inclusion criteria were identified.The most commonly used model animals are Sprague Dawley(SD)rats,followed by Wistar rats.The most frequently employed modelling method is a combination of mechanical injury and bacterial infection,followed by the phenol mucilage method.The most common modelling cycles for acute pelvic inflammatory disease(APID)and chronic pelvic inflammatory disease(CPID)/sequelae of pelvic inflammatory disease(SPID)are 8 to 14 days,while for PID models without specific staging,the cycles are 7 days.High-frequency detection methods and indicators include histopathological observation using hematoxylin-eosin staining,enzyme-linked immunosorbent assay(ELISA)for serum-related indicators,morphological changes of tissues observed with the naked eye,and immunohistochemical detection of related protein expression in uterine tissues,and pathological scoring.The most frequently used positive control drugs are Fuke Qianjin Tablets,followed by Jingangteng Capsules.The most common administration duration for APID is 7 days,and for CPID/SPID models,it ranges from 15 to 21 days.Conclusion Currently,SD rats and Wistar rats are commonly used as experimental animals for PID models.The dual modelling method of mechanical injury combined with mixed bacterial infection aligns closely with clinical pathogenesis and can be used to establish a PID model that simulates postoperative uterine cavity infection.Depending on the research objectives,different positive drugs and detection indicators should be selected for comprehensive evaluation.Most existing PID animal model studies are based on western medical diagnosis,with fewer studies focusing on Traditional Chinese Medicine(TCM)syndromes.There is a need to integrate TCM theories of etiology and pathogenesis to construct PID animal models that are more in line with TCM clinical symptoms.

Objective:The expression of serum free light chain(FLC)is abnormal in various diseases,but its role in lung cancer remains unclear.This study aims to investigate the expression and diagnostic value of serum FLC in lung cancer. Methods:A total of 80 lung cancer patients treated at Xiangdong Hospital,Hunan Normal University from January to December 2021 were selected as the lung cancer group.Another 80 healthy individuals undergoing routine physical examinations during the same period were chosen as the control group.General information and serum κFLC and λFLC levels were collected for all subjects.Clinical indicators such as serum carcinoembryonic antigen(CEA),cytokeratin fragment antigen 21-1(CYFRA21-1)levels,tumor diameter,histological type,TNM stage,and lymph node metastasis status were recorded for lung cancer patients.The expression levels of serum FLC[κFLC,λFLC,and FLC(κ+λ)]were compared between the lung cancer group and the control group.Lung cancer patients were grouped based on gender,age,smoking history,tumor diameter,TNM stage,histological type,and lymph node metastasis to compare differences in serum κFLC and λFLC levels.Receiver operating characteristic(ROC)curves were used to evaluate the diagnostic value of serum FLC alone and in combination with other indicators in lung cancer. Results:The expression levels of serum FLC(κ+λ)and κFLC were significantly higher in the lung cancer group than those in the control group(both P＜0.001),while there was no significant difference in serum λFLC levels between the 2 groups(P＞0.05).There were no significant differences in serum κFLC levels among lung cancer patients with different tumor diameters,histological types,or TNM stages(all P＞0.05);however,serum κFLC levels were higher in lung cancer patients with lymph node metastasis than in those without,with statistical significance(P=0.033).There were no significant differences in serum λFLC levels based on tumor diameter or histological type(both P＞0.05),but serumλFLC levels were higher in stage Ⅲ+Ⅳ and lymph node metastatic lung cancer patients compared to stage Ⅰ+Ⅱ and non-metastatic patients,with statistical significance(P=0.033 and P=0.019,respectively).The area under the curve(AUC)for κFLC and CEA in diagnosing lung cancer showed no significant difference(P=0.333).The combination ofκFLC+CYFRA21-1 had the highest diagnostic efficacy(AUC=0.875)and sensitivity(71.3％).The AUC for the combined diagnosis of κFLC+λFLC+CEA+CYFRA21-1 was 0.915(95％CI 0.860 to 0.953,P＜0.001). Conclusion:Serum FLC is highly expressed in lung cancer and is associated with its invasion and metastasis.Serum FLC,particularly κFLC,has diagnostic value for lung cancer,and the combined detection of FLC,CEA,and CYFRA21-1 offers the best diagnostic efficacy.

Lung cancer accounts for the highest proportion of cancer deaths in the world and poses a great threat to human health.About 30％to 40％of non-small cell lung cancer(NSCLC)is caused by point mutations,exon insertion and exon deletion of the epidermal growth factor receptor(EGFR).In addition to the common exon 19 deletion mutation and exon 21 L858R mutation,exon 18 G719X mutation,exon 21 L861Qmutation and exon 20 S768I mutation are the most important rare mutations.At present,the diagnostic methods for major rare mutations are mainly next-generation sequenc-ing(NGS),digital polymerase chain reaction(dPCR),droplet digital PCR(ddPCR),etc.Regarding the targeted therapy of G719X/L861Q/S768I mutant NSCLC,the first generation EGFR-tyrosine kinase inhibitors(TKIs)have poor efficacy,while the second and third generation EGFR-TKIs have similar efficacy.The novel third generation EGFR-TKIs and combina-tion therapy show a good therapeutic prospect.This article summarized the progress in the diagnosis and targeted therapy of G719X/L861Q/S768I mutant NSCLC,so as to provide reference for subsequent clinical drug use and research.

Background::With an increasing proportion of multiparas, proper interpregnancy intervals (IPIs) are urgently needed. However, the association between IPIs and adverse perinatal outcomes has always been debated. This study aimed to explore the association between IPIs and adverse outcomes in different fertility policy periods and for different previous gestational ages.Methods::We used individual data from China’s National Maternal Near Miss Surveillance System between 2014 and 2019. Multivariable Poisson models with restricted cubic splines were used. Each adverse outcome was analyzed separately in the overall model and stratified models. The stratified models included different categories of fertility policy periods (2014–2015, 2016–2017, and 2018–2019) and infant gestational age in previous pregnancy (<28 weeks, 28–36 weeks, and ≥37 weeks).Results::There were 781,731 pregnancies enrolled in this study. A short IPI (≤6 months) was associated with an increased risk of preterm birth (OR [95% CI]: 1.63 [1.55, 1.71] for vaginal delivery [VD] and 1.10 [1.03, 1.19] for cesarean section [CS]), low Apgar scores and small for gestational age (SGA), and a decreased risk of diabetes mellitus in pregnancy, preeclampsia or eclampsia, and gestational hypertension. A long IPI (≥60 months) was associated with an increased risk of preterm birth (OR [95% CI]: 1.18 [1.11, 1.26] for VD and 1.39 [1.32, 1.47] for CS), placenta previa, postpartum hemorrhage, diabetes mellitus in pregnancy, preeclampsia or eclampsia, and gestational hypertension. Fertility policy changes had little effect on the association of IPIs and adverse maternal and neonatal outcomes. The estimated risk of preterm birth, low Apgar scores, SGA, diabetes mellitus in pregnancy, and gestational hypertension was more profound among women with previous term births than among those with preterm births or pregnancy loss.Conclusion::For pregnant women with shorter or longer IPIs, more targeted health care measures during pregnancy should be formulated according to infant gestational age in previous pregnancy.

Influenza imposes a significant disease burden on society and individuals annually, and influenza vaccination is considered a significant public health measure to prevent influenza and reduce influenza-related severe disease and death. The low influenza vaccination rate in China is partly due to certain factors affecting the willingness and behavior of individuals to receive them. Scientific research and targeted interventions on these factors can effectively improve the vaccination situation. Commonly used individual-level theoretical models for influenza vaccination behavior include the health belief model, protection motivation theory, and theory of planned behavior. This study reviews theoretical models commonly employed in researching influenza vaccination willingness and behavior. An overview of these practical applications and challenges models is presented to provide references for relevant research and intervention programs in China.