Objective: To analyze the trends of the frequency of meat, egg, and milk consumption among rural primary and junior high school students in central and western China covered by the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) from 2015 to 2023, so as to provide basis for formulating more targeted nutrition intervention policies and health education strategies. Methods: Using data from six rounds of monitoring and evaluation (2015-2021 and 2023), the study included 323 870 students from grade 3 to 9 across 22 provinces (autonomous regions and municipalities) in central and western China. The consumption frequencies of meat, egg, and milk over the past week were collected via questionnaires. The Cochran-Armitage trend test was used to analyze temporal trends, and multivariable Logistic regression models were employed to analyze factors associated with the frequency of meat, egg and milk consumption and to test for interaction effects between the year and gender, region, and grade level. Results: From 2015 to 2023, the proportion of students consuming meat, egg, and milk ≥1 time/day increased from 23.20 %, 10.71%, and 0.74% to 35.53%, 22.09%, and 26.63%, respectively. Trend tests indicated a significant upward trend for the daily intake of all three food categories for meat, egg and milk over the years ( Z =67.18, 64.90, 93.14, all P <0.01). Multivariable Logistic regression analysis showed that the daily meat intake was lower in the central region than in the western region ( OR=0.77, 95%CI =0.76-0.78), whereas the daily intake of eggs ( OR=1.19, 95%CI =1.17-1.22) and milk ( OR= 1.27 , 95%CI =1.24-1.29) was higher in the central region (all P <0.05). Compared with grade 3-4 students, junior high school students had lower daily intake of meat, eggs, and milk≥1 time/day ( OR =0.95, 0.77, 0.77, all P <0.05), with a declining trend as grade increased. Girls also had lower daily intake of meat, eggs, and milk ≥1 time/day than boys ( OR =0.95，0.93，0.91, all P < 0.05). Significant interactions were observed between year and region, as well as between year and grade (all P <0.05). Conclusion From 2015 to 2023, the NIPRCES improved the intake level of among rural students, but the situation of relatively insufficient intake of egg and milk among females, junior high school students and those in the western region still exists.

Objective To identify renal function and other readily accessible indicators influencing the prognosis of renal cell carcinoma (RCC) patients after nephrectomy, and to construct a prognostic prediction model based on them. Methods The clinical and pathological data of 624 RCC patients undergoing radical or partial nephrectomy in the First Hospital of Shanxi Medical University during Jan. 2013 and Dec. 2021 were retrospectively analyzed. The independent prognostic factors affecting postoperative overall survival (OS) were identified with LASSO algorithm combined with Cox regression analysis. Based on these factors, a nomogram was constructed to predict the 1-, 3-, and 5-year survival rates. The performance of the model was evaluated using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves and the area under the curve (AUC), calibration plots, and decision curve analysis (DCA). Finally, the cutoff value of the nomogram was calculated to stratify patients into risk groups. Kaplan-Meier survival analysis with log-rank testing was performed to compare outcomes between the risk groups. Results Nine independent prognostic factors were identified, including age, smoking history, diabetes mellitus history, maximum tumor diameter, tumor subtype, N stage, Fuhrman grade, preoperative serum creatinine and cystatin C (P＜0.05). The nomogram achieved a C-index of 0.891, with time-dependent AUC of 0.920, 0.903, and 0.867 for 1-, 3-, and 5-year OS, respectively. Calibration curves showed excellent agreement with actual observations, and DCA demonstrated significant clinical net benefits across a wide threshold probability range. Using a cutoff score of 110.4, Kaplan-Meier analysis revealed statistically significant survival differences between risk groups (P＜0.001). Conclusion The proposed nomogram, incorporating renal function and other readily accessible clinical indicators, exhibits strong predictive accuracy for postoperative survival in RCC patients and may serve as a practical tool for individualized clinical decision-making.

Objective To investigate the status quo of health management behaviors in elderly patients with type 2 diabetes mellitus(T2DM)complicating chronic complications and the influencing factors based on health ecology theory.Methods The convenience sampling method was used to select elderly patients with T2DM complicating chronic complications in the Shanghai City from January to July 2022 as the respondents.Based on the health ecology theory,the five aspects of personality traits,psychological and behavioral traits,family and community interpersonal networks,living and working conditions and policy environment were in-vestigated.The Pearson correlation coefficient was used to analyze the correlation of various variables.The hi-erarchical linear regression was used to analyze the influencing factors of health management behaviors in eld-erly patients with T2DM complicating chronic complications.Results A total of 272 questionnaires were dis-tributed and 264 valid questionnaires were recovered,with an effective recovery rate of 97.06％(264/272).There were statistically significant differences in DSMB-Oscores among the patients with different chronic complications number,sleep quality,per capita monthly household income and medical payment methods(P＜0.05).The DSMB-Oscore in elderly patients with T2DM complicating chronic complications was positively correlated with HLSCP,DES,PACIC and CIRS scores(P＜0.05),and negatively correlated with the PAID-5 score(P＜0.05).Conclusion The health management behaviors of elderly patients with T2DM complicating chronic complications is jointly affected and acted by many factors,and it is necessary to identify and manage the related influencing factors from different aspects and different levels.

Objective To explore the risk factors of cognitive dysfunction in patients with sepsis and constructing a predictive model.Methods A total of 102 patients treated in the Department of this hospital from April 2021 to April 2024 were selected as the research subjects.According to the scores of the Mini-Men-tal State Examination(MMSE)three months after discharge,the patients were divided into the cognitive im-pairment group and the non-cognitive impairment group.Demographic data,critical illness-related scores and laboratory indicators of the patients were collected.Univariate analysis and multivariate logistic regression were used to analyze the risk factors for cognitive impairment in patients with sepsis.A nomogram model was constructed and its performance was verified through internal data.Results According to the MMSE scores,there were 60 patients were divided into the cognitive impairment group and 42 patients into the non-cognitive impairment group.The results of logistic regression analysis showed that age,educational level,the time of hospital stay,total hospitalization cost,chronic diseases,APACHEⅡ score,SOFA score,WBC,use of vasoac-tive drugs,indwelling urinary catheter,opening of artificial airway,medical devices,and clinical conditions were influencing factors for the occurrence of cognitive impairment(P＜0.05).The area under the receiver operating characteristic curve of the nomogram model for predicting the occurrence of cognitive dysfunction was 0.883.The predicted probability of the occurrence of cognitive impairment was highly similar to the actu-al situation,indicating that the predictive model had good discrimination and accuracy.Conclusion The nomo-gram risk model can predict the incidence of cognitive impairment in sepsis patients relatively well,which is beneficial to the early identification,early evaluation,early intervention and treatment of high-risk groups.

Objective To explore the optimal conditions for stable transfer of reporter gene containing enhanced green fluorescent protein(EGFP)into human breast cancer cells MDA-MB-231 cells under different electrotransfection conditions.Methods A PiggyBac(PB)transposon system containing EGFP reporter gene was constructed,and transfection conditions such as waveform,voltage,shock time,shock times,plasmid concentration,cell density,transposon to transposase ratio were controlled during electrotransfection of MDA-MB-231 cells.The transfection efficiency was detected by flow cytometry fluorescein isothiocyanate(FITC)channel.The expression of fluorescent protein was observed under laser scanning confocal microscope,the electrotransfection efficiency and expression of EGFP reporter gene were verified,and the electrotransfer efficiency of MDA-MB-231 cells was analyzed under different electrotransfection conditions.Results The optimal transfection conditions of MDA-MB-231 cells were as follows:voltage 280V,exponential wave,electric shock once,concentration of transposon plasmid about 1 000 ng/μl,mass ratio of transposon to transpotase 1:1,number of cells 2×106,electrotransfection rate up to 60.23%±5.63%.The state of MDA-MB-231 cells was good.Conclusion The electrotransfection conditions of MDA-MB-231 cells were successfully optimized to achieve stable and efficient transfection,which provided efficient electrotransfer experimental parameters for the relevant basic research of MDA-MB-231 cell line.

Objective:To analyze the structural changes and influencing factors of Total Health Expenditure(THE)in Inner Mongolia from 2008 to 2023,and provide references for formulating and adjusting relevant health policies in the region.Methods:Structural change degree analysis was used to examine the financing structure of THE,while principal component regression was employed to identify the influencing factors of THE.Results:From 2008 to 2023,THE in Inner Mongolia showed continuous growth,with a significant increase in per capita health expenditure,though there is still room for improvement compared with other regions.Government health expenditure and social health expenditure generally showed positive changes,while individual health expenditure showed negative changes.Per capita disposable income,urbanization rate,and per capita regional GDP were positively correlated with THE,while natural population growth rate and hospital bed utilization rate were negatively correlated with THE.Conclusion:THE in Inner Mongolia continued to grow from 2008 to 2023,but problems such as insufficient government investment and the need to optimize the financing structure existed.Given that economic factors dominate THE growth,it is recommended to achieve reasonable control of THE by improving the efficiency of health resources.

Objective To observe the changes of invariant natural killer T(iNK T)cells in visceral adipose tissue and blood lipids of high-fat diet-fed mice,and to analyze the correlation between iNK T cells and lipid metabolism.Methods Fifty-two C57BL/6 mice were selected as the high-fat diet group,and 51 C57BL/6 mice as the normal control group.The high-fat diet intervention lasted for 12 weeks.At weeks 1,4,8,and 12,the epididymal and perirenal fats of mice in both groups were collected and weighed to record the visceral fat mass(VFM),and the changes in body fat content(BFC)were calculated.Flow cytometry and laser scanning confocal microscopy were used to detect the changes of invariant natural killer T(iNK T)cells in visceral adipose tissue.An automatic biochemical analyzer was used to measure the lipid levels in mice,and the correlations of iNKT cells in visceral adipose tissue with VFM,BFC,and serum lipid levels were analyzed.Results At 12 weeks after high-fat diet feeding,the body weight,VFM,BFC,serum total cholesterol(TC),triglyceride(TG)and high-density lipoprotein cholesterol(HDL-C)increased significantly,while the content of invariant natural killer T(iNK T)cells in visceral adipose tissue decreased obviously in the high-fat diet group,as compared with the control group(P＜0.01).The iNKT cell number in visceral adipose tissue of mice was negatively correlated with VFM,BFC,serum HDL-C and serum TG(r=-0.293,-0.289,-0.337,-0.199,P＜0.05),and was not correlated with serum TC and LDL-C(r=-0.122,-0.082,P＞0.05).Conclution VFM is increased and iNK T cell number is decreased in in adipose tissue of high-fat diet-fed mice.The number of iNK T cells is negatively correlated with VFM,BFC,serum HDL-C and TG.

Objective:To explore the prevalence and associated factors of anxiety symptoms among the work-ing population in Shandong Province.Methods:Multi-stage stratified cluster sampling method was used to recruit 172 396 working individuals aged 18 years or older from various cities of Shandong Province.Participants complete-da demographic questionnaire covering gender,age,education,lifestyle factors,etc.Anxiety symptoms and occupa-tional burnout were assessed with the Self-Rating Scale for Anxiety(SAS)and Burnout Scale(MBI-GS).Corre-lates were analyzed using multifactor logistic regression.Results:The prevalence of anxiety symptoms was 17.0％(25 991/152 759).Multivariate logistic regression analysis indicated that female(OR=1.17),primary education or below(OR=1.58),divorced(OR=1.24),previous drinking habit(OR=1.23),smoking habit(OR=1.20),poor physical health(OR=24.85),and experiencing burnout(OR=5.48)were risk factors for anxiety symptoms(P＜0.05).Conclusion:The prevalence rate of anxiety is relatively high in working population in Shandong Prov-ince,and anxiety is mainly associated with gender,education level,marital status,smoking,alcohol consumption,physical health status and burnout.

Objective:Based on the theory of behavioral economics,it analyzed the causes of behavioral biases in the utilization of traditional Chinese medicine health management services for the elderly and proposes strategies for optimizing their active utilization behavior,providing reference for enhancing traditional Chinese medicine health management services.Methods:Qualitative interviews were conducted to collect the elderly's perceptions and utilization behaviors of traditional Chinese medicine health management services.The prospect theory,nudge theory,and assistance theory of behavioral economics were used to analyze the behavioral biases in the elderly's decision-making process of utilization of traditional Chinese medicine health management services and to propose targeted optimization strategies.Results:The elderly's limited rationality was affected by the influence of information and uncertainty,leading to anchoring effects in the initial impression and overconfidence effects in self-health.When making decisions,the elderly were influenced by the herding effect of group conformity,and loss aversion and preference structure also constrained their active utilization of traditional Chinese medicine health management services.The time discounting of traditional Chinese medicine health management outcomes leaded the elderly to have a preference for intertemporal choices.Conclusion:It is needed to build a supportive social environment to adjust the cognitive biases of the elderly;establish standardized social systems to highlight the positive effects of framing;enhance the health literacy of traditional Chinese medicine to facilitate rational decision-making.

Cannabidiol (CBD), a non-psychoactive cannabinoid, shows great promise in treating methamphetamine (METH) addiction. Nonetheless, the molecular target and the mechanism through which CBD treats METH addiction remain unexplored. Herein, CBD was shown to counteract METH-induced locomotor sensitization and conditioned place preference. Additionally, CBD mitigated the adverse effects of METH, such as cristae loss, a decline in ATP content, and a reduction in membrane potential. Employing an activity-based protein profiling approach, a target fishing strategy was used to uncover CBD's direct target. ATP5A1, a subunit of ATP synthase, was identified and validated as a CBD target. Moreover, CBD demonstrated the ability to ameliorate METH-induced ubiquitination of ATP5A1 via the D376 residue, thereby reversing the METH-induced reduction of ATP5A1 and promoting the assembly of ATP synthase. Pharmacological inhibition of the ATP efflux channel pannexin 1, blockade of ATP hydrolysis by a CD39 inhibitor, and blocking the adenosine A1 receptor (A1R) all attenuated the therapeutic benefits of CBD in mitigating METH-induced behavioral sensitization and CPP. Moreover, the RNA interference of ATP5A1 in the ventral tegmental area resulted in the reversal of CBD's therapeutic efficacy against METH addiction. Collectively, these data show that ATP5A1 is a target for CBD to inhibit METH-induced addiction behaviors through the ADO-A1R signaling pathway.