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.

The study aims to explore the methods for preparing nanocomplexes of Prussian blue nanoparticles (PBNPs) with UNO peptide (UNO-PBNPs) and the functions of the nanocomplexes targeting M2-type macrophages in vitro. PBNPs were prepared by the hydrothermal synthesis method. Subsequently, the peptide UNO (CSPGAKVRC) targeting the mannose receptor was modified on their surface by a heterobifunctional coupling approach. The morphological characteristics of nanoparticles were observed by scanning and transmission electron microscopy. Additionally, their particle size, Zeta potential, and dispersion stability were assessed. The structural characteristics of nanoparticles were analyzed by X-ray diffraction and other techniques. The biological safety of the nanoparticles was evaluated by the CCK-8 assay and hemolysis experiments. Moreover, the targeting performance of UNO-PBNPs towards M2-type macrophages was assessed in vitro. The results showed that the synthesized UNO-PBNPs exhibited uniform cubic morphology, with an average particle size of (202.00±4.21) nm. They were negative charged, well dispersed, and stable. At concentrations ≤ 200 μg/mL, the synthesized UNO-PBNPs led to the hemolysis rate below 5%, demonstrating excellent biocompatibility. The laser confocal imaging results showed that after co-incubation with M2-type macrophages, the FITC-labeled UNO-PBNPs were effectively accumulated in the cells, presenting a distinct fluorescence signal. Quantitative analysis by flow cytometry showed that the intracellular mean fluorescence intensity (6 019.00±346.04) of UNO-PBNPs was higher than that (4 054.00±379.14) of unmodified PBNPs (P < 0.001). In summary, the UNO-PBNPs prepared in this study exhibited a targeting effect on M2-type macrophages, providing a potential method for targeted delivery of PBNPs in the tumor microenvironment and laying a foundation for the remodeling of the tumor immunosuppressive microenvironment.
Ferrocyanides/chemistry* ; Nanoparticles/chemistry* ; Macrophages/drug effects* ; Peptides/chemistry* ; Particle Size ; Animals ; Mannose Receptor ; Mice ; Lectins, C-Type ; Mannose-Binding Lectins ; Receptors, Cell Surface

Objective To standardize nursing management on postoperative patients with a left ventricular assist-ant device(LVAD).Methods The first draft of the Consensus was formed on the basis of literature review.2 rounds of expert consultations and a round of online meeting discussion were held for adjustments and modifications the draft of the Consensus.Results The recovery rate of the inquiry questionnaire was 93.75%.The authority coefficients of the 2 rounds of inquiry experts were 0.927 and 0.920.The concentration degree of expert opinions for each indicator was greater than 3.5 score,and the coefficient of variation was less than 0.25.The Kendall harmony coefficients for 2 rounds of correspondence were 0.402 and 0.407(P<0.01).The final Consensus formed through expert consultations and meetings includes 7 themes:hemodynamic monitoring,LVAD function monitoring,coagulation function monitoring,percutaneous cable and wound care,exercise rehabilitation care,health education and guidance,and pre-discharge assessment.Conclusion The Consensus is scientific,rigorous,and authoritative.The Consensus covers all aspects of postoperative care for patients with LVAD,and it will benefit to clinical practice.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Objective To explore the application value of adjusting contrast medium dosage according to total body weight(TBW),lean body weight(LBW)and body surface area(BSA)in coronary computed tomography angiography(CCTA)of overweight patients.Methods A total of 150 patients with body mass index(BMI)≥24 kg/m2 undergoing CCTA examination were prospectively selected and randomly divided into TBW group,LBW group,and BSA group,with 50 patients in each group.All three groups used contrast medium iodixanol(320 mg I/mL)and the fixed injection time was 12 s.The dosage of contrast medium was 0.8 mL/kg(TBW);1.04 mL/kg(LBW)for male and 1.11 mL/kg(LBW)for female;BSA 30 mL/m2.The dosage and flow rate of contrast medium were compared among the three groups,the image quality was evaluated by subjective and objective ways,and the correlation between arterial enhancement and TBW,LBW and BSA were analyzed.Results According to a 5-point scale,the image quality of three groups met the clinical diagnostic requirements(both≥3 points).Compared with TBW group,the dosage of contrast medium in LBW group and BSA group decreased by 13.38％and 10.62％respectively,and the flow rate decreased by 13.41％and 10.61％respectively,and the differences were statistically significant(P＜0.05).The coronary CT values,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)in LBW and BSA groups were lower than those in TBW group(P＜0.05),and the variation range of CT values in LBW group were the smallest.There were no statistical differences in subjective scores of image quality among the three groups(P＞0.05).The coronary CT values were slightly correlated with TBW(r=0.342,P=0.015),and were not correlated with LBW or BSA(r=-0.207,P=0.150;r=-0.204,P=0.156).Conclusion LBW is the best body index to calculate the dosage of contrast medium for coronary artery enhancement in overweight patients.

Objective:To explore the application effect of LEARNS(L: listen; E: establish; A: adopt; R: reinforce; N: name; S: strengthen) model in health education for patients undergoing coronary computed tomography angiography(CCTA) examination, so as to provide basis for improving image quality and optimizing examination process.Methods:One hundred and sixteen patients who underwent CCTA examination at the Second Hospital of Shanxi Medical University from April to September 2023 were selected as the research subjects by convenience sampling method. A non-concurrent controlled study was conducted, with 58 patients examined from April to June 2023 as the control group to implement conventional health education, and 58 patients examined from July to September 2023 as the observation group to implement LEARNS model health education. The differences in examination knowledge scores, anxiety level, coronary artery image quality, examination duration and health education satisfaction between the two groups were compared.Results:There were 31 males and 27 females in the control group, aged (51.97 ± 9.39) years old. There were 30 males and 28 females in the observation group, aged (53.48 ± 8.95) years old. There was no significant difference in the examination knowledge scores and anxiety level before the intervention between the two groups ( P>0.05). After the intervention, the examination knowledge score of the patients in the observation group was (12.95 ± 1.15) points, which was higher than (9.02 ± 1.55) points in the control group, the difference was statistically significant ( t=-15.53, P<0.05). The acceptance rate of image quality in the observation group was 96.6% (56/58), which was higher than 87.9% (51/58), but the difference was not statistically significant ( χ2=1.93, P>0.05). The proportion of patients with level 1 image quality in the observation group was 81.0%(47/58), which was higher than 55.2%(32/58) in the control group, the difference was statistically significant ( χ2=8.93, P<0.05). The total score of health education satisfaction in the observation group was (39.81 ± 1.81) points, which was higher than (31.19 ± 3.10) points in the control group, the difference was statistically significant ( t=-18.27, P<0.05). The score of anxiety scale and duration of examination in the observation group were (36.81 ± 2.12) points and (6.72 ± 1.02) min respectively, which were significantly lower than (41.12 ± 2.46) points and (9.40 ± 1.49) min in the control group, the differences were statistically significant ( t=10.11, 11.29, both P<0.05). Conclusions:LEARNS model is used for health education of patients undergoing CCTA examination, which helps to improve patients′ knowledge level, health education satisfaction and coronary image quality. It can also alleviate examination anxiety and shorten examination time. It is worthy of promotion.

Objective:To investigate the risk factors of iodinated contrast agent extravasation in tumor patients with intravenous high pressure injection, and to develop a nomogram model of contrast agent extravasation, so as to provide reference for the detection of extravasation risk factors before examination.Methods:A retrospective case-control study was used in this study. Two hundred and two tumor patients with iodinatedcontrast agent extravasation who underwent enhanced CT examination in the Second Hospital of Shanxi Medical University, Shanxi People′s Hospital and Shanxi tumor Hospital from September 2021 to September 2023 were selected by random sampling method as the case group, and 202 tumor patients without iodinated contrast agent extravasation who underwent enhanced CT examination in the above 3 hospitals during the same period were randomly selected as the control group. Multivariate Logistic regression was used to analyze the independent risk factors of iodinated contrast agent extravasation and a nomogram prediction model was established by R4.3.1 statistical software. The receiver operating characteristic (ROC) curve, calibration curve and Hosmer-Lemeshow goodness of fit test were used to evaluate the predictive efficiency of the model.Results:A total of 404 tumor patients were included in this study. There were 97 males and 105 females in the case group, aged 30-88 (62.97 ± 0.91) years old; and 123 males and 79 females in the control group, aged 31-85 (61.38 ± 0.73) years old. Multivariate Logistic regression analysis showed that age, sex, injection rate, contrast agent concentration, contrast osmotic concentration, long-term chemotherapy and nurses′ working years were independent risk factors for iodinated contrast agent extravasation ( OR values were 0.306-6.365, all P<0.05). The area under the ROC curve predicted by the nomogram model was 0.814 (95% CI 0.714-0.875), the specificity was 78.1%, the sensitivity was 70.2%, the slope of calibration curve was close to 1, and the Hosmer-Lemeshow goodness of fit test χ2 = 11.47, P>0.05. Conclusions:The nomogram model established in this study can accurately predict the risk of iodinated contrast agent extravasation in tumor patients, and provide a reference for the detection of high-risk factors of extravasation before examination.

Objective Changes in relevant indexes in the mouse model of early-onset ovarian insufficiency caused by Tripterygium wilfordii polyglycoside were analyzed,and the optimal time point for intervention was determined.Methods Forty female ICR mice were randomly divided into control and A,B,C,and D model groups with eight mice in each group.The control group was gavaged with purified water for 14 days(0.01 mL/10 g),and the remaining groups were administered a Tripterygium wilfordii polyglycoside suspension(80 mg/kg,0.01 mL/10 g)for 1 day(A model group),3 days(B model group),7 days(C model group),or 14 days(D model group),and samples were collected.Body weight and wet weights of the uterus and bilateral ovaries of mice were determined in each group.Serum FSH,LH,E2,P,AMH,INH-B,and T contents were measured using enzyme-linked immunoassays.HE staining was used to observe the number and developmental status of follicles and corpus luteum at all levels in mice of each group.TUNEL staining was used to detect the apoptosis in the ovaries of mice in each group.IHC detected expression of VEGFA,CD34,and EPO proteins in the ovaries of mice in each group.mRNA expression of HIF-1α,SDF-1,and CXCR4 in each group of mice was detected by PCR.Results Compared with the control group,changes in indicators in model A mice did not meet the POI modeling standard.The ovarian index,uterine index,and body weight of mice in the B model group were decreased significantly(P＜0.01),the weight of the C model group was decreased significantly(P＜0.01),and the ovarian index of the D model group was decreased significantly(P＜0.05).Serum contents of FSH and LH in B,C,and D model groups were increased(P＜0.05,P＜0.01),the E2,PROG,AMH,INH-B,and T contents were decreased(P＜0.01).The numbers of basal follicles,pre-sinus follicles,sinusoidal follicles,antral follicles,preovulatory follicles,and corpus luteum were decreased significantly(P＜0.05,P＜0.01)and the number of atresia follicles was increased significantly(P＜0.01)in B,C,and D model groups.The apoptotic area of TUNEL staining in A,B,C,and D model groups was increased significantly(P＜0.05,P＜0.01).Expression of CD34,VEGFA,and EPO in B,C,and D model groups was decreased significantly(P＜0.05,P＜0.01).mRNA expression of HIF-1α,SDF-1,and CXCR4 in A and B model groups was significantly increased(P＜0.05,P＜0.01).Compared with the B model group,the relevant indexes of C and D model groups were changed significantly,indicating that C and D models were more serious and tended to develop POF.Conclusions The B model group is the turning point of ovarian function from impaired POI to irreversible POF,suggesting that 3 days of administrating Tripterygium wilfordii polyglycoside is optimal to induce a POI disease model for effective drug intervention.

Objective: To investigate the epidemiological characteristics of varicella outbreaks in primary and middle schools, and to establish a risk predictive model, so as to provide scientific guidance for the prevention of varicella outbreaks in schools. Methods: Based on a nested case-control study, primary and middle schools in 4 districts of Shanghai (Yangpu District and Jingan District) and Hangzhou (Xiaoshan District and Linping District) from January to December 2023 were selected to observe the status of varicella outbreaks. Associated factors of varicella outbreaks were investigated and used for establishing the predictive model, which was evaluated by the Hosmer-Lemeshow(H-L) goodness of fit test, receiver operating characteristic (ROC) curve, Calibration curve, decision curve analysis (DCA). Results: A total of 98 varicella outbreaks were included, with 195 schools without varicella outbreaks during the same period as controls. Eight factors, including the availability of warm water in restroom, availability of hand soap in restroom, average class size, duration of student attendance at school per day, presence of a fulltime school doctor, hesitancy of the school principal towards varicella vaccination, and rates of first and second doses of varicella vaccination, were identified as potential factors for school varicella outbreaks, with statistically significant differences (χ2/Z=10.01, 20.49, 17.43, 9.74, 32.17, 6.60, 2.20, 3.39, P<0.05). The 8 variables above were employed to construct a risk predictive model, and Hosmer-Lemeshow goodness of fit test yielded a χ2 value of 5.863 (P>0.05); the area under the ROC curve (AUC) was 0.846 (95%CI=0.799-0.893); Calibration curve analysis indicated good consistency between predicted and actual values of the model. DCA demonstrated favorable predictive performance of the model over a wide range. Conclusions The predictive model for school varicella outbreaks demonstrates satisfactory accuracy and efficacy. It suggested to make good use of this prediction model and take relevant measures to reduce the risk of varicella transmission in schools.