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.

BACKGROUND:In clinical practice,the anterior superior iliac spine and posterior superior iliac spine are usually located by palpation,and the tilt of the pelvis is determined by visual observation method or photogrammetry.Among them,the visual observation method can only have qualitative conclusions,and its reliability is poor.The photogrammetry is not only more convenient and fast,but also can give more accurate quantitative data,which is one of the best clinical evaluation methods.However,there are no studies on the reliability of pelvic posture assessment using photogrammetry in China. OBJECTIVE:To evaluate the pelvic posture by visual observation method and photogrammetry,and to compare the reliability level of the two methods to guide clinical application. METHODS:Forty-five healthy subjects were selected and red marks were made at the bilateral anterior superior iliac spine and posterior superior iliac spine.Pelvic posture was photographed from the front,back(coronal plane),left,and right(sagittal plane).The left and right pelvic tilt angles(α,β angles)were selected from the front and back views,which represented the angle between the bilateral anterior superior iliac spine line or the bilateral posterior superior iliac spine line and the horizontal line.The anterior and posterior pelvic tilt angles(γ,θ angles)were selected from the side view,which represented the angle between the ipsilateral anterior superior iliac spine and posterior superior iliac spine line and the horizontal plane,indicating the sagittal plane pelvic tilt.Evaluation methods included visual observation method and photogrammetry.Two evaluators independently evaluated the pelvic α,β,γ,θ angles using the visual observation method first,and then recorded the pelvic α,β,γ,θ angles using the photogrammetry.After a one-month interval,the visual observation method and photogrammetry were performed again,and the pelvic α,β,γ,θ angles were recorded.The intraclass correlation coefficients were used to analyze the data obtained from the two evaluation methods and the before-and-after measurements:0.90-0.99 as an excellent correlation,0.80-0.89 as a good correlation,0.70-0.79 as a moderate correlation,and≤0.69 as a poor correlation.The standard error of measurement and the minimal detectable change with 95%confidence intervals were calculated to evaluate the inter-rater and intra-rater reliability. RESULTS AND CONCLUSION:(1)The interrater intraclass correlation coefficients of the visual observation method and photogrammetry were as follows:anterior view:0.682 and 0.718,posterior view:0.513 and 0.867,left view:0.739 and 0.960,and right view:0.756 and 0.971.The visual observation method showed poor correlation between the anterior and posterior views and moderate correlation between the left and right views,while the photogrammetry showed moderate correlation for the anterior view,good correlation for the posterior view,and excellent correlation for the left and right views.The standard error values of measurement were as follows:anterior view:3.266 and 1.625,posterior view:4.278 and 1.763,left view:5.935 and 1.787,and right view:5.723 and 1.698.The minimal detectable change values with 95%confidence intervals were as follows:anterior view:9.053 and 4.504,posterior view:11.858 and 4.887,left view:16.451 and 4.953,and right view:15.863 and 4.707.(2)The interrater intraclass correlation coefficients of the visual observation method and photogrammetry were as follows:anterior view:0.452 and 0.723,posterior view:0.483 and 0.904,left view:0.518 and 0.955,and right view:0.657 and 0.968.The visual observation method showed poor correlation in all four directions,while the photogrammetry showed moderate correlation for the anterior view and excellent correlation for the other three directions.The standard error values of measurement were as follows:anterior view:5.651 and 1.610,posterior view:4.237 and 1.523,left view:7.322 and 1.891,and right view:6.509 and 1.781.The minimal detectable change values with 95%confidence intervals were as follows:anterior view:15.664 and 4.463,posterior view:11.744 and 4.222,left view:20.296 and 5.242,and right view:18.042 and 4.937.(3)These results confirm that the sagittal and coronal plane photogrammetries have good intrarater and interrater reliability for evaluating pelvic posture,especially with the use of the photogrammetry,which has good data stability.This method is simple,fast,efficient,accurate,low-cost,and does not cause X-ray damage,and can qualitatively and quantitatively reflect the actual situation of the patient's pelvis,making it suitable for clinical use.

Objective To investigate the influencing factors for chronic pancreatitis(CP)complicated by pancreatogenic portal hypertension(PPH),and to establish a predictive model.Methods A retrospective analysis was performed for the clinical data of 99 patients with CP complicated by PPH who were hospitalized in The First Affiliated Hospital of Kunming Medical University,Chuxiong Yi Autonomous Prefecture People's Hospital,Wenshan People's Hospital,and Puer People's Hospital from January 2017 to December 2022,and these patients were enrolled as PPH group.The incidence density sampling method was used to select 198 CP patients from databases as control group.The independent-samples t test was used for comparison of normally distributed continuous data between two groups,and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between two groups.The Least Absolute Shrinkage and Selection Operator(LASSO)regression model was used to identify the potential predictive factors for CP complicated by PPH,and the predictive factors obtained were included in the multivariate Logistic regression analysis to obtain independent risk factors,which were used to establish a nomogram prediction model.The receiver operating characteristic(ROC)curve,the calibration curve,and the Hosmer-Lemeshow goodness-of-fit test were used to perform internal validation of the model,and the clinical decision curve was used to assess the clinical practicability of the model.Results There were significant differences between the two groups in sex,history of recurrent acute pancreatitis attacks,acute exacerbation of CP,bile duct stones,peripancreatic fluid accumulation,pseudocysts,pulmonary infection,elevated C-reactive protein(CRP),elevated procalcitonin,fibrinogen(FIB),neutrophil-lymphocyte ratio(NLR),gamma-glutamyl transpeptidase,total bilirubin,direct bilirubin,low-density lipoprotein(LDL),serum amylase,D-dimer,and serum albumin(all P<0.05).The predictive variables obtained by the LASSO regression analysis included sex,recurrent acute pancreatitis attacks,bile duct stones,peripancreatic fluid accumulation,pulmonary infection,pseudocysts,CRP,NLR,FIB,and LDL.The multivariate Logistic regression analysis showed that sex(odds ratio[OR]=2.716,P<0.05),recurrent acute pancreatitis attacks(OR=2.138,P<0.05),peripancreatic fluid accumulation(OR=2.297,P<0.05),pseudocysts(OR=2.805,P<0.05),and FIB(OR=1.313,P<0.05)were independent risk factors for CP complicated by PPH.The above factors were fitted into the model,and the Bootstrap internal validation showed that the nomogram model had an area under the ROC curve of 0.787(95%confidence interval:0.730—0.844),and the calibration curve was close to the reference curve.The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good degree of fitting(χ2=7.469,P=0.487).The clinical decision curve analysis showed that the prediction model had good clinical practicability.Conclusion Male sex,recurrent acute pancreatitis attacks,peripancreatic fluid accumulation,pseudocysts,and FIB are independent risk factors for CP complicated by PPH,and the nomogram model established has good discriminatory ability,calibration,and clinical practicability.

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.

kidney deficiency and blood stasis are believed to be the key pathogenesis of recurrent implantation failure （RIF）， and therefore， it is proposed to take kidney-supplementing and blood-invigorating as the basic treatment method， and use it by stages to assist the controlled superovulation program of in vitro fertilization-embryo transfer （IVF-ET）. The focus should be put on nourishing kidney yin， soothing the liver and invigorating blood during down-regulation period， using kidney yin-nourishing medicinals and modified Qinghao Biejia Decoction （青蒿鳖甲汤）. During the ovulation induction period， the focus should be put on nourishing kidney yang， replenishing blood， and promoting blood circulation， with self-made Bushen Culuan Formula （补肾促卵方） in modifications. After transplantation， it is suggested to put focus on tonifying the kidneys and replenishing essence， and self-made Wuzi Yanzong Guchong Decoction （五子衍宗固冲汤） in modifications can be used. At the same time， fetal protection treatment should be carried out for pregnant women， and modified Shou Tai Pill （寿胎丸） can be used to tonify the kidneys and calm the fetus.

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.