Objective: To analyze the independent and interaction effects of daytime outdoor light exposure and moderate to vigorous physical activity (MVPA) duration on sleep quality of primary school students, so as to provide scientific evidence for interventions on children s sleep health. Methods: From April to June 2024, a total of 444 students from grades 3 and 4 in 2 primary schools in Jiading District, Shanghai were selected using stratified random cluster sampling method for continuous 7 day monitoring. Wearable devices "Clouclip" were used to monitor daytime outdoor activity time (represented by time with light intensity ≥ 1 000 lx ), and accelerometers were used to monitor MVPA time and sleep quality related indicators. Multiple linear regression was used to analyze the associations of daytime outdoor activity and MVPA with sleep quality. Results: Both daytime outdoor light exposure and MVPA duration(longer actual sleep duration per night,longer time in bed,fewer awakening and shorter post sleep awakening shic) were independently associated with multiple sleep indicators( β =0.52, 0.46, -0.83, -2.19, all P <0.05), with no significant interaction between the associations ( P >0.05). After controlling for MVPA, more daytime outdoor light exposure was significantly and independently associated with longer actual sleep time ( β =0.50, 95% CI =0.21-0.79, P <0.05). After controlling for light exposure, longer MVPA duration was independently associated with shorter post-sleep awakening duration ( β=-4.15, 95% CI = -6.33 to -1.96, P <0.05). Conclusion Increased daytime outdoor activity and MVPA are both associated with better sleep quality in primary school students.

Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.

OBJECTIVE To investigate the prevalence and influencing factors of potentially inappropriate medication （PIM） among the elderly in nursing homes in Urumqi based on three PIM screening tools， and to compare the applicability of different tools. METHODS A cross-sectional study design was adopted. Elderly individuals from six nursing homes in Urumqi were selected as the research subjects from May 2021 to September 2023. Demographic characteristics， disease burden and medication records of the elderly were collected. PIM screening was performed using the Chinese PIM criteria （2024 edition）， the American Geriatrics Society （AGS） Beers criteria （2023 edition）， and the Screening Tool of Older Person’S Prescriptions（STOPP）/Screening Tool to Alert to Right Treatment（START） （2023 edition）. Fleiss’s Kappa test was used to assess the consistency among the three screening tools， and multivariate Logistic regression was used to analyze the influencing factors of PIM. RESULTS The prevalence of PIM screened by the Chinese PIM criteria was 47.4% （323/682）， by the AGS Beers criteria was 43.4% （296/682）， and by the STOPP criteria was 50.9% （347/682）. The consistency among the three screening tools was low （Fleiss’s Kappa＝0.12， P ＜0.001）. Multivariate Logistic regression analysis showed that all three screening tools indicated that polypharmacy， aspirin use and psychotropic drug use were independent risk factors for PIM among elderly in nursing houses （all OR＞1， P ＜0.05）. CONCLUSIONS The prevalence of PIM among the elderly in nursing homes in Urumqi is relatively high. Polypharmacy， aspirin use and psychotropic drug use are common independent risk factors for PIM. There are differences in screening results among the three tools with low consistency. The Chinese PIM criteria can serve as a first-line tool for PIM screening in nursing homes.

ObjectiveTo investigate the detection status of scoliosis and its influencing factors among primary and secondary school students in Jiangqiao Town in Jiading District of Shanghai, thereby providing evidence for the prevention and management of scoliosis in children and adolescents. MethodsA stratified cluster random sampling was conducted in March 2025. Three primary schools and two secondary schools in Jiangqiao Town were randomly selected; within each school, 3‒4 entire classes were randomly chosen. Screening was performed in accordance with the criteria specified in GB/T 16133‒2014 Screening for Abnormal Spinal Curvature in Children and Adolescents, and a self-designed structured questionnaire was administered to conduct face-to-face surveys (Cronbach’s α=0.730). ResultsA total of 772 valid questionnaires were collected on-site, representing a 100% response rate. The sample consisted of 413 males (53.50%) and 359 females (46.50%), including 385 primary school students (49.87%) and 387 secondary school students (50.13%). The detection rate of scoliosis in primary and secondary school students was 12.05%. The detection rates were 8.72% for males and 15.88% for females, with the female rate being significantly higher than the male rate (χ²=9.29, P=0.002). For primary and secondary school students, the detection rates were 6.75% and 17.31%, respectively, with the secondary school student rate being significantly higher (χ²=20.31, P<0.001). The results of univariate analysis revealed that students with sufficient sleep and standard sitting postures during reading/writing had a significantly lower scoliosis detection rate compared to those with insufficient sleep and non-standard sitting postures (χ²=5.90, P=0.015 and χ²=5.09, P=0.024). Multivariate logistic regression analyses revealed that the detection rate of scoliosis was significantly higher in females than in males (OR=1.846， 95%CI: 1.156‒2.984), and significantly higher in secondary school students than in primary school students (OR=2.722， 95%CI: 1.656‒4.472). ConclusionThe scoliosis detection rate among primary and secondary school students in Jiangqiao Town in Jiading District is relatively high. Females and secondary school students are key populations requiring targeted prevention and control efforts. It is imperative to strengthen health education on scoliosis, promote early screening and diagnosis, and implement timely targeted interventions.

Objective: To investigate the distribution patterns and risk factors for multidrug-resistant bacterial pulmonary infections in patients with oral squamous cell carcinoma (OSCC) undergoing flap reconstruction surgery, and to provide evidence for infection prevention and treatment in this population. Methods: This study was approved by the institutional medical ethics committee. We retrospectively analyzed sputum culture results, antimicrobial susceptibility testing data, and clinical records of 109 OSCC patients undergoing flap reconstruction. Chi-square tests were employed to identify pathogens and risk factors for multidrug-resistant bacteria (MDR) in postoperative pulmonary infections. Multivariate logistic regression analysis was conducted to determine MDR risk factors and establish a nomogram prediction model. The model’s discriminatory power, accuracy, and clinical utility were evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results: Among the 109 patients, 52 had negative sputum cultures and 57 tested positive, of whom 14 developed multidrug-resistant (MDR) pulmonary infections. Chi-square analysis revealed that blood transfusion, pre-existing pulmonary diseases, operation time ≥ 490 min, intraoperative blood loss ≥ 400 mL, and abnormal BMI were significant risk factors for postoperative MDR infections (P < 0.05). Multivariate logistic regression identified pre-existing pulmonary diseases, intraoperative blood loss ≥ 400 mL, abnormal BMI, and operative duration ≥ 490 min as independent risk factors for MDR infections (P < 0.05). The nomogram prediction model for MDR infections demonstrated an area under the ROC curve (AUC) of 0.874 (95% CI: 0.775-0.973). The calibration plot showed good agreement between predicted and observed outcomes. DCA indicated a net clinical benefit when the threshold probability for high-risk MDR infections ranged from 0.000 to 0.810. Common MDR pathogens included MDR Pseudomonas aeruginosa, MDR Klebsiella pneumoniae, carbapenem-resistant Acinetobacter baumannii (CRAB), and methicillin-resistant Staphylococcus aureus (MRSA). Conclusion Among OSCC patients undergoing flap reconstruction, MDR pulmonary infections were predominantly caused by gram-negative bacteria (including CRAB, MDR Pseudomonas aeruginosa, and MDR Klebsiella pneumoniae along with the gram-positive pathogen MRSA. Pre-existing pulmonary comorbidities, prolonged surgery duration (≥ 490 min), significant intraoperative blood loss (≥ 400 mL), and abnormal BMI were confirmed as independent risk factors for these MDR infections. The nomogram predictive model incorporating these four variables demonstrated clinically reliable accuracy in risk stratification for postoperative MDR pulmonary infections in this patient population.

This study was aimed at understanding the antimicrobial resistance patterns,virulence characteristics,and phyloge-netic relationships of foodborne Listeria monocytogenes in Weifang.A total of 67 strains of Listeria monocytogenes were isolated from livestock,poultry meat,and clinical samples in Weifang between 2020 and 2023.The susceptibility of these isolates was determined through broth microdilution.Whole-genome sequencing and genetic characterization of these isolates were conducted.The 67 strains were divided into 12 STs,among which ST121,ST8,ST9,and ST87 predominated(76.12%).Eight groups of closely related strains were identified through cgMLST typing.Three Listeria pathogenicity islands and two genomic islands were identified in all strains:100%of the strains carried LIPI-1,5.97%carried LIPI-3,14.93%carried LIPI-4,2.99%carried LGI-2,and 4.48%of the strains carried LGI-3.No antibiotic resistance genes were found in any strains.All isolates were susceptible to ampicillin,penicillin,merope-nem,trimethoprim-sulfamethoxazole,and vancomycin.Five isolates were resistant to tetracycline,and three strains of ST87,one strain of ST8,one strain of ST224,and two strains of ST87 were simultaneously resistant to erythromycin.The tet(M)tetracycline re-sistance genes and msr(D)and mef(A)erythromycin resistance genes from three strains of ST87 and one strain of ST8 were carried by a phage similar to phi1605 in Erysipelothrix,with>95%identity.The tet(M)gene from the ST224 isolates was carried by a transposon similar to Tn5801_B15 in Enterococcus faecalis,with>95%identity.Drug-resistant strains of Listeria monocytogenes were found in livestock and poultry meat on sale in Weifang,particularly strains of type ST87 and ST224 simultaneously carrying highly pathogenic virulence islands,thus posing a threat to food safety and public health.These findings therefore warrant attention from relevant depart-ments and strengthened monitoring efforts.

Objective:To analyze the relationship between 24-hour urinary calcium (24 h UCa) level and the risk of end-stage kidney disease (ESKD), cardiovascular disease (CVD), and all-cause mortality.Methods:In the Chinese Cohort Study of Chronic Kidney Disease, we examined 3 375 patients aged 18-74 years with CKD stages 1-4. Kaplan-Meier survival and Cox proportional hazard regression models were used to test a time-to-event association between levels of 24 h UCa and incidence of ESKD, CVD, and all-cause mortality.Results:During a follow-up of 4.17 (3.37, 5.20) years, 179, 145, 104 and 38 ESKD events occurred in <0.60, 0.60-, 1.20-, ≥2.32 mmol 24 h UCa groups. Higher levels of 24 h UCa (1.20-,≥2.32 mmol) were independently associated with a lower incidence of ESKD events in patients with CKD, with HR (95% CI) of 0.71 (0.54-0.93) and 0.43 (0.29-0.64), respectively. No significant associations with CVD and all-cause mortality endpoints were detected. Conclusion:Among patients with CKD, levels of 24 h UCa displayed an association with the risk of ESKD among patients with CKD stages 1-4.

Objective:To investigate the independent clinical factors of live birth rate of the first frozen-thawed embryo transfer (FET) cycle after transcervical resection of adhesion (TCRA).Methods:A retrospective case-control study was conducted to analyze the clinical data of patients with intrauterine adhesion (IUA) who received FET in Reproductive Center of Reproductive and Genetic Hospital of CITIC-XIANGYA from January 2019 to June 2022 ( n=6 154). According to the severity of intrauterine adhesions in patients, they were classified into mild adhesions ( n=172), moderate adhesions ( n=5 723), and severe adhesions ( n=259). Based on the FET outcome, the patients were divided into live birth group and non-live birth group. The risk factors and protective factors of live birth were analyzed by multivariate logistic regression. Results:1) No independent factor of live birth was found in the mild IUA group. 2) In the moderate IUA group, the protective factors of live birth included secondary infertility ( OR=1.39, 95% CI: 1.07-1.80, P=0.015), hysteroscopic polypectomy ( OR=1.38, 95% CI: 1.05-1.83, P=0.023), No. of high-quality embryos transferred (one embryo: OR=1.58, 95% CI: 1.37-1.82, P<0.001; two embryos: OR=2.55, 95% CI: 1.80-3.64, P<0.001), two embryos transferred ( OR=1.77, 95% CI: 1.48-2.12, P<0.001), embryo stage (blastocyst transferred, OR=4.93, 95% CI: 3.68-6.63, P<0.001; blastocyst+cleavage transferred OR=1.90, 95% CI: 1.11-3.21, P=0.021), preimplantation genetic testing embryo ( OR=1.42, 95% CI: 1.19-1.69, P<0.001), endometrial thickness before transplantation ( OR=1.11, 95% CI: 1.07-1.15, P<0.001). Risk factors of live birth included female age ( OR=0.94, 95% CI: 0.92-0.96, P<0.001), infertility due to male factor ( OR=0.83, 95% CI: 0.71-0.96, P=0.011), combined repeated implantation failure ( OR=0.60, 95% CI: 0.42-0.87, P=0.007), combined unicornuate uterus/uterus didelphys ( OR=0.25, 95% CI: 0.06-0.79, P=0.033), American Fertility Society score ( OR=0.94, 95% CI: 0.89-0.98, P=0.010), No. of TCRA ( OR=0.83, 95% CI: 0.77-0.90, P<0.001), gonadotropin-releasing hormone agonists down-regulation combined with artificial cycle ( OR=0.56, 95% CI: 0.45-0.69, P<0.001), artificial cycle ( OR=0.62, 95% CI: 0.51-0.76, P<0.001). 3) In the severe IUA group, the risk factor of live birth was artificial cycle ( OR=0.25, 95% CI: 0.07-0.80, P=0.027). Conclusion:The clinical factors that affect the live birth outcome of the first FET cycle after TCRA have different results in patients with different degrees of adhesion. In patients with moderate adhesions, there are 17 clinical indicators that affect the live birth rate. In patients with severe adhesions, the artificial cycle is an independent factor affecting the live birth rate.

Objective To explore the risk factors of hospitalization within 24 h after birth and respiratory support in late preterm and term neonates.Methods A case-control study was conducted on 1 468 neonates with gestational ages≥34 weeks and<42 completed weeks delivered at the University-Town Hospital of Chongqing Medical University from January 2023 to March 2024.Maternal health parameters and neonatal outcomes were systematically obtained through standardized case report forms during the study period.The neonates were stratified into the hospitalization group and the non-hospitalization group based on neonatal ward admission within 24 h.For those hospitalized with infectious diseases,subgroup analysis was conducted with further categorization into respiratory support and the non-respiratory support subgroups according to ventilatory assistance requirements.The perinatal risk factors were compared between groups and subgroups,and the independent risk factors for hospitalization and the need for respiratory support within 24 h in neonates were identified.The indicators with P<0.1 in the univariate analysis were included in the multivariate logistic regression analysis,and the stepwise regression analysis was used to fit the multivariate logistic regression model.Results There were 213 cases(14.5%)in the hospitalization group and 1 255 cases(85.5%)in the non-hospitalization group.A total of 150 neonates were hospitalized due to infectious diseases,including 48 cases(32.0%)in the respiratory support subgroup and 102 cases(68.0%)in the non-respiratory support subgroup.The multivariate logistic regression analysis showed that non-regular maternal prenatal examination(OR=2.687,95%CI:1.175～6.141,P=0.019),intrauterine growth retardation(OR=2.711,95%CI:1.106～6.646,P=0.029),premature rupture of membranes(OR=1.667,95%CI:1.139～2.438,P=0.008),chorioamnionitis(OR=4.852,95%CI:2.114～11.135,P<0.001),infectious diseases in the first week before delivery(OR=1.531,95%CI:1.015～2.310,P=0.042),turbidity of amniotic fluid(OR=3.170,95%CI:2.099～4.787,P<0.001),abnormal placenta(OR=2.335,95%CI:1.202～4.534,P=0.012),complications during pregnancy(OR=2.367,95%CI:1.360～4.118,P=0.002),and the use of glucocorticoids before delivery(OR=2.744,95%CI:1.219～5.528,P=0.009)were positively correlated with hospitalization within 24 h postnatally in late preterm and term neonates.Gestational age(OR=0.693,95%CI:0.602～0.797,P<0.001),5-minute Apgar score(OR=0.026,95%CI:0.003～0.212,P=0.001),umbilical cord blood pH(OR=0.044,95%CI:0.002～0.793,P=0.034),and umbilical cord blood BE(OR=0.885,95%CI:0.823～0.823,P=0.001)were negatively correlated with it.Premature rupture of membranes(OR=0.207,95%CI:0.070～0.618,P=0.005),infectious diseases in the first week before delivery(OR=0.245,95%CI:0.070～0.854,P=0.027),5-minute Apgar score(OR=0.063,95%CI:0.008～0.526,P=0.011),and abnormal C-reactive protein of newborns(OR=0.145,95%CI:0.046～0.460,P=0.001)were negatively correlated with the need for respiratory support in neonates hospitalized due to infectious diseases.Conclusion Risk factors for neonatal hospitalization within 24 h postnatal late preterm and term are identified as irregular antenatal care,fetal growth restriction and premature rupture of membranes in late preterm and term neonates.premature rupture of membranes,antenatal maternal infections within 1 week prior to delivery and 5-minute Apgar score≥7 emerge as significant protective factors against respiratory support requirement in neonates hospitalized with infectious diseases.

OBJECTIVE: As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS). METHODS: This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA). RESULTS: The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS. CONCLUSION The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Male ; Female ; Machine Learning ; Spleen ; Aged, 80 and over ; Kidney ; Medicine, Chinese Traditional