Objective: To explore the current status and influencing factors of eating behaviors in adolescents, so as to provide a theoretical foundation for health promotion education among adolescents. Methods: Based on the database from Survey of Chinese Family Health Index (2021), by a random number table method, 1 065 teenagers were selected from the provincial capitals of 22 provinces and 5 autonomous regions in China, as well as 4 municipalities directly under the central government. A general characteristic questionnaire, Patient Health Questionnaire-9 (PHQ-9), Short Form of the Family Health Scale (FHS-SF), 10-item Short Version of the Big Five Personality(BFP-10), Content-based Media Exposure Scale (CM-E) and Sakata Eating Behavior Scale Short Form(EBS-SF) were used to collect information. Multivariate stepwise linear regression analysis was employed to identify and analyze related factors of eating behaviors among adolescents. Receiver operating characteristic was used to validate the predictive ability of the EBS-SF score for overweight and obesity among adolescents. Results: The average scores of BFI-10,C-ME, FHS-SF, PHQ-9 and EBS-SF were (33.08±4.64)(19.20±4.55)(38.48±6.65)(6.09±5.63)(16.75±4.36), respectively. Multivariate linear regression showed that family type (other types), agreeableness, conscientiousness, family health and depression were the main related factors of EBS-SF scores among adolescents( B =2.61,-0.42,0.20,-0.11,0.23, P <0.05).The analysis of receiver operating characteristic curve showed that the EBS-SF scores had a good ability in predicting obesity among male adolescents ( AUC= 0.73, P <0.01). Conclusions Family type, big five personality, family health,depression are the related factors of eating behaviors among adolescents. EBS-SF scores are predictive of obesity in adolescents, which would provide a new perspective for promoting healthy eating habits among adolescents.

Objective To identify potential biomarkers and establish a prediction model for chemotherapy-related hepatotoxicity susceptibility based on plasma endogenous metabolites of colorectal cancer(CRC)patients before chemotherapy.Methods The plasma samples of 50 CRC patients before capecitabine chemotherapy and the records of their chemotherapy-related hepatotoxicity during the follow-up were collected.An ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry(UHPLC-Q-TOF-MS)was used to perform untargeted metabolomic analysis.Based on bioinformatics analysis,differential analysis,correlation analysis,and random forest were used to screen for hepatotoxicity-related plasma endogenous metabolites.All samples were randomly assigned(7∶3)to training set or test set.A multivariate logistic regression model was established to predict the hepatotoxicity of capecitabine chemotherapy based on the training set data.The prediction effects of the model in the training,test and entire sets were evaluated by receiver operating characteristic(ROC)curve analysis.Results The endogenous metabolites related to hepatotoxicity in the plasma of CRC patients before chemotherapy were mainly lipid endogenous metabolites.A series of potentially important predictive biomarkers for hepatotoxicity susceptibility were identified,including sphingamine-1-phosphate,ceramide,galactose,arachidonic acid,tyrosine,biliverdin,myristic acid,phosphatidylcholine(35∶1),phosphatidylethanolamine(36∶1),and hexadecanoic acid.The area under curve values of the prediction model based on the above biomarkers in the training,test and entire sets were 0.946(95%confidence interval[CI]0.842-1.000),0.920(95%CI 0.720-1.000),and 0.912(95%CI 0.810-0.982),respectively.Conclusion The endogenous metabolites in the plasma of CRC patients before chemotherapy can effectively predict the hepatotoxicity of capecitabine chemotherapy.These hepatotoxicity biomarkers indicate that susceptible patients have characteristics related to lipid metabolism disorders.

This report evaluates the preliminary outcomes of a "six-in-one" integrated cough and asthma center developed under a dual-contract physician model at the Changfeng Community Health Service Center in Putuo District, Shanghai. By combining the efforts of family doctors and medical specialists, the center integrated six core functions-clinical treatment, prevention, nursing, rehabilitation, pharmacy, and nutrition-into a seamless management system covering screening, diagnosis, therapy, and follow-up. Supported by specialist guidance and teaching clinics, the model significantly enhanced comprehensive respiratory disease management capabilities within the community setting. The initiative not only improved patient health outcomes but also strengthened multidisciplinary collaboration and resource efficiency, offering a replicable example for improving chronic disease management in primary care through integrated and coordinated service delivery.

This report evaluates the preliminary outcomes of a "six-in-one" integrated cough and asthma center developed under a dual-contract physician model at the Changfeng Community Health Service Center in Putuo District, Shanghai. By combining the efforts of family doctors and medical specialists, the center integrated six core functions-clinical treatment, prevention, nursing, rehabilitation, pharmacy, and nutrition-into a seamless management system covering screening, diagnosis, therapy, and follow-up. Supported by specialist guidance and teaching clinics, the model significantly enhanced comprehensive respiratory disease management capabilities within the community setting. The initiative not only improved patient health outcomes but also strengthened multidisciplinary collaboration and resource efficiency, offering a replicable example for improving chronic disease management in primary care through integrated and coordinated service delivery.

Objective:To explore the research status of artificial intelligence in nursing in China, so as to provide reference for conducting research domestically.Methods:The relevant literature collected from January 1, 2003 to May 1, 2023 was searched on China National Knowledge Infrastructure, WanFang Data, and VIP. CiteSpace and VOS viewer were used to visually analyze the research status, hotspots, and frontiers of artificial intelligence in nursing in China from the aspects of annual publication volume, region, institution, author, high-frequency keywords, and emerging words.Results:A total of 494 articles were included. In terms of publication volume, domestic research showed an overall upward trend, with publishing institutions mostly concentrated in economically developed and medically advanced regions. The authors of the articles often collaborated with research groups, with a co-authorship rate of 81.17% (401/494), but there was relatively little collaboration between groups. Research hotspots were focused on the application of artificial intelligence in geriatric nursing, rehabilitation nursing, Operating Rooms, and drug formulation, with a majority of research related to robots.Conclusions:The research enthusiasm in related fields in China is currently on the rise. Research on artificial intelligence in nursing management, nursing education, and psychological nursing can be strengthened, and the application of artificial intelligence can be enriched. At the same time, research institutions and personnel should strengthen mutual cooperation, and relevant national departments should improve laws and regulations to promote the vigorous development of this research field.

Objective:To analyze the current research status of ideological and political education content in domestic nursing courses and facilitate nursing education reform.Methods:Using purposeful sampling, 25 exemplary cases of ideological and political education in nursing courses from Xinhua Net were selected. NVivo 12 software was employed for content analysis, summarizing the ideological and political elements, carriers of these elements, and types of integration methods in nursing courses.Results:Nursing educators have thoroughly explored ideological and political elements, with the most attention given to professional ethics, though less focus was placed on personality development. A variety of carriers for ideological and political elements were utilized, with practical experience being the most common, but there was a lack of integration with policy and regulations. Various integration methods were applied, with interactive methods being the most frequently used, while practical approaches were less common.Conclusions:Future nursing education should emphasize fostering students' sense of national identity and focus more on personality development. It is important to promote a more balanced use of carriers for ideological and political elements, paying particular attention to policy-related content. The use of information technology in teaching should also be explored to flexibly apply various teaching methods, achieving the subtle integration of ideological and political education within nursing curricula.

Background::Growth differentiation factor-15 (GDF-15) is a stress response protein and is related to cardiovascular diseases (CVD). This study aimed to investigate the association between GDF-15 and pre-eclampsia (PE).Method::The study involved 299 pregnant women, out of which 236 had normal pregnancies, while 63 participants had PE. Maternal serum levels of GDF-15 were measured by using enzyme-linked immunosorbent assay kits and then translated into multiple of median (MOM) to avoid the influence of gestational week at blood sampling. Logistic models were performed to estimate the association between GDF-15 MOM and PE, presenting as odd ratios (ORs) and 95% confidence intervals (CIs).Results::MOM of GDF-15 in PE participants was higher compared with controls (1.588 vs. 1.000, p < 0.001). In the logistic model, pregnant women with higher MOM of GDF-15 (>1) had a 4.74-fold (95% CI= 2.23-10.08, p < 0.001) increased risk of PE, adjusted by age, preconceptional body mass index, gravidity, and parity. Conclusions::These results demonstrated that higher levels of serum GDF-15 were associated with PE. GDF-15 may serve as a biomarker for diagnosing PE.

Background::Growth differentiation factor-15 (GDF-15) is a stress response protein and is related to cardiovascular diseases (CVD). This study aimed to investigate the association between GDF-15 and pre-eclampsia (PE).Method::The study involved 299 pregnant women, out of which 236 had normal pregnancies, while 63 participants had PE. Maternal serum levels of GDF-15 were measured by using enzyme-linked immunosorbent assay kits and then translated into multiple of median (MOM) to avoid the influence of gestational week at blood sampling. Logistic models were performed to estimate the association between GDF-15 MOM and PE, presenting as odd ratios (ORs) and 95% confidence intervals (CIs).Results::MOM of GDF-15 in PE participants was higher compared with controls (1.588 vs. 1.000, p < 0.001). In the logistic model, pregnant women with higher MOM of GDF-15 (>1) had a 4.74-fold (95% CI= 2.23-10.08, p < 0.001) increased risk of PE, adjusted by age, preconceptional body mass index, gravidity, and parity. Conclusions::These results demonstrated that higher levels of serum GDF-15 were associated with PE. GDF-15 may serve as a biomarker for diagnosing PE.

Objective:To summarize the clinical features of out-of-hospital extracorporeal cardiopulmonary resuscitation(ECPR) patients and analyze the factors associated with discharge survival.Methods:The data of 54 patients with ECPR in the Emergency Center of the Second Hospital Affiliated to Zhejiang University School of Medicine from January 2020 to December 2023 were analyzed. Patients were divided into the survival group and death group based on their survival status within 30 days of discharge. Kaplan Meier method was used to draw the survival curve, and COX regression analysis was used to analyze the relevant factors of survival.Results:(1) A total of 54 patients with ECPR were included in this study. 17 (31.5%) cases were discharged alive, of which 10 (58.8%) had a good neurological prognosis, while 37 case (68.5%) died.(2) Kaplan-Meier survival analysis showed that patients who received first-witness CPR, had a lower-extremity perfusion line established, underwent IABP, achieved ROSC, had normal pH, and had an initial pupillary light reflex had a longer median survival time ( P < 0.05). (3) Univariate COX regression analysis showed that statistically differences in survival time among patients with ECMO times, hypoperfusion times, initial pupil sizes, and APACHEⅡ scores ( P < 0.05); (4) Multivariate COX regression analysis showed that APACHEⅡ score, initial pupil size, and IABP were independent predictors of survival of patients discharged from the hospital with emergency ECPR; (5) The concordance index of the COX regression model was 0.921. Conclusions:The survival model demonstrates good predictive accuracy. Healthcare professionals can use the APACHEⅡscore and initial pupil size on admission as important reference indicators to assist in determining patient prognosis, and to timely initiate IABP treatment, in conjunction with the patient’s condition, to improve the survival rate of patients discharged from the hospital.

Objective:To investigate the effect of percutaneous intramyocardial septal radiofrequency ablation (PIMSRA) guided by echocardiography on the Lown classification of ventricular arrhythmias in patients with hypertrophic obstructive cardiomyopathy (HOCM).Methods:A total of 85 patients with HOCM who received PIMSRA treatment at Xijing Hospital of Air Force Military Medical University from May 2017 to October 2019 were retrospectively selected. All patients underwent 24-hour Holter examinations before and 1 year after PIMSRA to obtain parameters related to Lown classification. The changes in Lown grades after PIMSRA were analyzed. The patients were divided into improved group and unimproved group according to whether there was significant improvement in Lowen′s grades, and the difference of the parameters related were compared. The influencing factors of the changes in Lown classification were analyzed.Results:Compared with before PIMSRA, there was a significant improvement in the Lown classification after PIMSRA ( P=0.001). The patients with Lown grade Ⅰ increased significantly ( P=0.001), and the patients with grade Ⅲ decreased significantly ( P=0.005). There were no significant changes in patients with Lown grades 0, Ⅱ, and Ⅳ (all P>0.05). The proportion of patients with family history of hypertrophic cardiomyopathy (HCM), the baseline Lown classes, the reduction rate of the maximum left ventricular wall thickness and the reduction rate of the provocative left ventricular outflow tract gradient (LVOTG) were higher in the improved group than the unimproved group (all P<0.05). Multivariate Logistic regression results showed that HCM family history ( OR=3.95, 95% CI=1.34-11.64, P=0.013), baseline Lown classes ( OR=2.01, 95% CI=1.25-3.22, P=0.004) and the reduction rate of the provocative LVOTG gradient ( OR=1.02, 95% CI=1.00-1.04, P=0.041) were independent factors of postoperative Lown classification improvement. Conclusions:The Lown classes of HOCM patients after PIMSRA is significantly improved.HCM family history, the baseline Lown classes, and the reduction rate of postoperative provocative LVOTG are independent influencing factors for the improvement of Lown grade.