Objective: To explore the association between negative life events and smartphone addiction among middle school students, so as to provide theoretical support and practical guidance for prevention and intervention of smartphone addiction among middle school students. Methods: Using cluster sampling, 8 890 students were selected to survey from 27 junior high schools and 3 senior high schools in a district of Shenzhen in 2022 (baseline) and 2023 (followup). Data were collected through selfresigned questionnaires on basic information, the Smartphone Addiction Scale-Short Version, and the Adolescent Selfrating Life Events Checklist. Mixedeffects models were employed to analyze the association. Results: Compared to 2022, the punishment scores of middle school students in 2023 [1.00 (0.00, 6.00) and 1.00 (0.00, 6.00)] decreased (Z=4.27), while the scores of interpersonal stress, learning stress and adaptation [4.00(0.00, 8.00), 4.00(0.00, 8.00); 4.00(1.00, 8.00), 5.00(2.00, 9.00); 2.00 (0.00, 6.00), 3.00 (0.00, 7.00)] increased (Z=-3.04, -8.36, -6.80) (P<0.01). Mixedeffects models revealed a positive doseresponse relationship between negative life events and smartphone addiction (OR=1.08-1.17, P<0.01). Stepwise regression showed independent positive effects of interpersonal stress (OR=1.05), academic stress (OR=1.03), and adaptation stress (OR=1.11) on smartphone addiction (P<0.01). Subgroup analysis of nonaddicted students in 2022 confirmed persistent associations for academic stress (OR=1.03) and adaptation (OR=1.07) (P<0.01). Conclusion Negative life events exhibit a positive doseresponse relationship with smartphone addiction, particularly interpersonal stress, academic stress, and adaptationrelated events.

Objective: To explore the potential causal association between adolescent compulsive behaviour and smartphone addiction based on longitudinal data, so as to provide reference for the establishment of adolescent smartphone addiction interventions. Methods: A preliminary survey and follow-up were conducted on 8 907 middle and high school students in a district of Shenzhen in 2022 and 2023, respectively. Compulsive behaviours were measured by using the Mental Health Inventory for Middle School Students-60 Items (MMHI-60), smartphone addiction was assessed by using the Smartphone Addiction Scale-Short Version ( SAS- SV), and the associations between compulsive behaviours and smartphone addiction were analysed by using multilevel mixed-effects models and subgroup analyses. Results: Smartphone addiction detection rates among middle school students were significantly associated with genders, father s education level, mother s education level, study load subgroups, and whether or not they were single-parent families, and there were statistical differences ( χ 2=17.21-175.34, P <0.05). Students with compulsive behaviours were 2.98 times more likely to develop smartphone addiction than those without compulsive behaviours ( OR=2.98, 95%CI=2.77-3.22, P <0.05). Subgroup analysis of middle school students without smartphone addiction in the first year found that compulsive behaviours significantly predicted smartphone addiction ( OR= 1.76 , 95%CI=1.54-2.01, P <0.05). Conclusion There is a potential causal association between obsessive-compulsive behaviours and smartphone addiction in middle school students, and obsessive-compulsive behaviours in middle school students could significantly predicted the occurrence of smartphone addiction.

Objective: To investigate the changing trends for associations of anxiety and depressive symptoms with smartphone addiction among middle school students, so as to provide a scientific basis for preventing smartphone addiction in middle school students. Methods: From 2022 to 2023, a method of combining convenient sampling with cluster sampling was used to select 8 923 middle school students from 27 junior high schools and 3 senior high schools in a district of Shenzhen City between September 2022 (baseline, T1) and September 2023 (follow up, T2). The Smartphone Addiction Scale-Short Version (SAS-SV), Patients Health Questionnaire-9 Item (PHQ-9), and Generalized Anxiety Disorder 7-item Scale (GAD-7) were administered to assess smartphone addiction, anxiety and depressive symptoms. Mixed effects models were used to analyze the association of anxiety and depressive symptoms with smartphone addiction among middle school students. Results: From September 2022 to September 2023, the reported prevalence of smartphone addiction increased from 24.22% to 25.25% ( χ 2=45.71); and smartphone addiction scores [ 24.00 (16.00, 32.00),25.00(16.00, 33.00)], anxiety symptom scores [2.00(0.00, 7.00),3.00(0.00, 7.00)] and depressive symptom scores[3.00(0.00, 8.00),5.00(0.00, 9.00)] all significantly increased ( Z =-17.43, -42.38, -41.57) (all P <0.05). There were statistically significant difference in the distribution of anxiety and depression symptom levels among middle school students in 2022 and 2023 ( χ 2=85.15, 106.85, both P <0.05). After adjusting for covariates such as age, gender and family background, mixed effects models revealed dose response associations of anxiety and depressive symptoms with smartphone addiction among middle school students:mild anxiety symptom( OR =3.22), moderate to severe anxiety symptom ( OR =5.36), mild depressive symptom ( OR =3.32) and moderate to severe depressive symptom ( OR =6.13) were significantly associated with higher risks of smartphone addiction (all P <0.05). Interaction effect analysis found that co existing anxiety and depressive symptoms synergistically increased addiction risk by 5.60 times ( OR =5.60) compared to the asymptomatic group, with 32% of the combined risk attributable to their interaction ( S=1.64, AP =0.32)(both P < 0.05 ). Conclusions Anxiety and depressive symptoms are significantly associated with smartphone addiction, exhibiting a synergistic effect. Attention should be paid to emotional issues and smartphone addiction among middle school students.

Objective To understand the changing trend of dementia disease burden attributed to high BMI in China from 1990-2019, and to provide a basis for the development of dementia prevention and control strategies. Methods Using data from the Global Burden of Disease Study 2019(GBD2019)，the changes in disease burden were analyzed using indicators such as deaths, disability adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs) and their standardized rates. The differences between sexes and age groups were compared. Joinpoint regression model was used to analyze the trend of changes in the disease burden of dementia attributable to high BMI in China. Results From 1990 to 2019, the burden of dementia disease attributed to high BMI continued to increase, with 20,300 more deaths, 404,200 more DALYs, and more than a four-fold increase in both mortality and DALYs rates. The overall burden of disease was greater for women than for men, but the rate of increase in the burden of disease was higher for men than for women. The disease burden in the age group of 80 and over was significantly higher than in other age groups. Conclusion Attention should be paid to people with high BMI, especially for the prevention and control of dementia risk in older age groups with high BMI. Active countermeasures should be taken to control the occurrence of dementia.

ObjectiveTo evaluate the efficacy of TCM health management based on tertiary management system for patients with myocardial infarction （MI）. MethodsA total of 277 patients with non-acute MI were enrolled and given comprehensive TCM health management strategies including health education， lifestyle adjustment， risk factors control， medication and TCM appropriate techniques management through a tertiary management system with "the patient as the core， village/community physicians as the main executive body， and tertiary TCM hospital specialists as the leading body"， for a period of 12 months by using a prospective single-arm cohort study. Through patient reporting and medical records surveys， various indicators before and after 12-month management were collected and compared. The primary efficacy indicators were readmission rate and recurrent exacerbation rate， and the secondary efficacy indicators included disease awareness-related indicators， lifestyle behavior-related indicators， cardiovascular risk factor-related indicators and Canadian cardiovascular society （CCS） cardiac function classification. ResultsA total of 255 patients completed the study and were included in the final analysis. The recurrent exacerbation and readmission rates of patients after management were 23.14% （59 cases） and 20.25% （49 cases）， respectively， significantly lower than 36.08% （92 cases） and 53.72% （130 cases） before management （P＜0.05）. Except for knowledge on diabetes diagnostic criteria with no significant difference before and after management （P＞0.05）， awareness of other knowledge with regard to the prevention and treatment of cardiovascular and cerebrovascular diseases were improved after management （P＜0.01）， as well as the total score （P＜0.01）. In terms of daily life behaviors， the rates of salty diet， sweet diet and greasy diet were significantly lower than baseline， while the rate of moderate exercise was significantly higher （P＜0.05 or P＜0.01）； the rates of ongoing smoking and vigorous exercise were not significantly changed （P＞0.05）. For cardiovascular risk factors， patients' total cholesterol， low-density lipoprotein （LDL） cholesterol， triglycerides， fasting glucose， total depression assessment scale score， and total anxiety assessment scale score were significantly reduced after management （P＜0.01）. Systolic blood pressure and body mass index （BMI） were both higher after management （P＜0.05 or P＜0.01）， and there was no statistically significant difference in diastolic blood pressure （P＞0.05）. In terms of the cardiovascular disease risk factors reaching the standard levels， the rate of LDL cholesterol ＜1.8 mmol/L significantly increased （P＜0.01）， while the rate of BMI ＜24 kg/m² and the rate of systolic blood pressure ＜140 mmHg both decreased significantly （P＜0.05 or P＜0.01） from baseline； the diastolic blood pressure and rate of fasting glucose ＜7.0 mmol/L were not significantly changed （P＞0.05）. The patients' CCS cardiac function classification was significantly reduced （P＜0.05）. ConclusionTCM health management based on the tertiary management system can enhance MI patients' awareness of the disease， change poor lifestyle habits， reduce risk factors such as blood lipids and blood glucose， improve anxiety and depression， increase activity tolerance， and reduce their recurrence exacerbation and readmission rates， which is worthy of clinical promotion.

Cationic liposomes,as non-viral vectors,are widely used in gene therapy and gene silencing.Although numerous cationic liposomes have various structures,they can all improve the per-formance of gene delivery.As gene therapy is increasingly studied,it may be foreseen that new cationic lipoplexes will be explored.In this review,we aim to discuss four constituent domains of cationic lipids(headgroup,hydrophobic domain,linker and helper lipids)in gene delivery.This article attempts to demonstrate that various lipid structures show different transfection efficiency and cytotoxicity by sum-marizing the similarities and differences between the four parts of cationic lipids.Furthermore,their major influencing factors are covered.Finally,three clinical cases of ionizable lipids are described to reveal their characteristics and differences from cationic lipids.This paper is intended to provide a conceptual framework for the design of cationic liposomes and for the selection of cationic lipids.

Objective To analyze the clinical manifestations and epidemiological characteristics of influenza in Hubei. Methods Pharyngeal swab specimens from 16,500 patients with suspected influenza infection admitted to our hospital from January 2020 to December 2022 were selected. Viral detection and serotyping were performed by fluorescence quantitative polymerase chain reaction. Furthermore, the epidemiological and clinical data of patients were collected to analyze the clinical features and epidemiological characteristics of influenza viruses. Results A total of 16 500 clinical specimens were tested in this study, with a positive detection rate of 16.27% (2 684/16 500). The positive detection rate was 5.10% (862/16 500) for influenza A virus, 10.13% (1 672/16 500) for influenza B virus and 0.91% (150/16 500) for mixed influenza. The positive detection rate of influenza viruses was on the rise from 2020 to 2022 , reaching 18.43% in 2022. Seasonal distribution analysis denoted that the highest positive detection rates were observed in spring (18.23%) and winter (19.72%), with statistical difference (P<0.05). In terms of age distribution, patients<12 years (19.14%) had the highest positive detection rate, followed by those >60 years (17.71%), with statistical difference (P<0.05). From 2020 to 2022, the positive detection rate of influenza virus was 16.89% in males, which was higher than 15.63% in females (P<0.05). The main clinical symptoms were fever (86.89%) and cough (80.27%) for influenza A virus infections, cough (92.52%) and fever (86.06%) for influenza B virus infections, and cough (94.00%), fever (88.00%) and runny nose (86.00%) for mixed infections. Conclusion The influenza B viruses are the leading cause of influenza in Hubei from 2020 to 2022, and the infection demonstrates an increasing annual trend, with a high prevalence in winter and spring. Furthermore, children and the elderly are high-risk populations, and clinical manifestions are mainly cough and fever.

ObjectiveTo investigate the current status of secondary prevention of stable angina in patients with coronary heart disease in three regions of China， namely Henan Province， Xinjiang Uygur Autonomous Region， and Tianjin City， and analyze the the influencing factors. MethodsA cross-sectional study was conducted to include patients with stable angina with coronary heart disease in Henan， Tianjin and Xinjiang from August 10， 2020 to March 14， 2021. General information， traditional Chinese medicine （TCM） syndrome elements， prescriptions and other data of patients were collected， and clinical characteristics， blood pressure， blood lipid and blood glucose of patients were analyzed； the patients were divided into groups according to whether their blood pressure， blood lipid and blood glucose were up to standard. With the most common syndrome element as the main variable， region， age and gender as covariables， Logistic regression equation was incorporated to analyze the influencing factors for the patients' blood pressure， blood lipid and blood glucose being up to standard. ResultsA total of 1061 coronary heart disease patients with stable angina were included， including 658 in Henan， 210 in Xinjiang， and 193 in Tianjin. The clinical characteristics of patients in the three regions showed statistical different in age， sex， disease course， complication， blood pressure， blood lipid， blood glucose， smoking， drinking， living habits， and medication treatment （P＜0.05 or P＜0.01）. For the included patients， qi deficiency （79.55%， 844/1061） and blood stasis （39.96%， 424/1061） were the main syndrome elements. The overall compliance rate of blood pressure was 48.89% （506/1035）， blood lipids 12.68% （133/1049） and blood glucose 48.18% （504/1046）. Qi deficiency was the independent factor affecting the blood pressure of coronary heart disease patients with stable angina combined with hypertension （P = 0.029，95%CI ［1.048， 2.369］）， and the independent factors influencing the blood lipid standard of coronary heart disease patients with stable angina （P = 0.011， 95%CI ［1.133， 2.646］）， but not the independent factors affecting blood glucose standard in coronary heart disease patients with diabetes （P＞0.05）. ConclusionCoronary artery disease patients with stable angina have geographical variability in clinical characteristics and distribution of TCM syndrome elements， and the overall control of blood pressure， blood lipids， and blood glucose is poor， and qi deficiency syndrome is an independent risk factor affecting the control of blood pressure and blood lipids.

Over the past 30 years,nano-drug delivery systems(NDDS)have become a promising field of drug research.However,a poor knowledge of the in vivo process of NDDS,the limited methods of pharmacokinetic correlation,and the inability to effectively provide strong support for the construction of upstream drug as well as the evaluation of downstream pharmacology and toxicology have become the technical bottleneck for their clinical transformation.Lipid nanodrug(LND)is the most successful NDDS for industrial transformation with great biocompatibility.Taking LND as an example,this paper reviewed the delivery process and influencing factors in vivo,and summarized the regulatory mecha-nism of biological environments on drug release in vivo.Based on advanced spectroscopy and mass spectrometry techniques,the spatial and temporal distribution of the dynamic carrier particle/depolymer-ized molecule ratio and dynamic free/encapsulated drug ratio of LND in biological matrix were ana-lyzed.Finally,the existing problems and future developments in this field were summarized to provide references for the analysis of NDDS in vivo,and stimulate readers'interest in nanomedical research and development.

Objective:Explore the hydrogen-nuclear magnetic resonance ( 1H-NMR) application potential of metabolomics in early screening of vitamin A deficiency(VAD). Methods:From January to June 2019, 40 cases of left-behind children with confirmed VAD <1 year old were enrolled in Zunyi area as VAD group, and 40 healthy children were selected as healthy control group.Urine from the 2 groups of children was collected and 1H-NMR spectrum was measured.By combining metabonomics technology and multivariate statistical analysis, the 2 groups of metabolites were compared, and the differential metabolites of children with VAD were screened out. Results:Compared with VAD group [(0.56±0.10)μmol/L], the difference in the serum retinol concentration of healthy control group [(1.35±0.18)μmol/L] was statistically significant ( t=23.93, P<0.001). Compared with healthy group, VAD group showed higher level of methylmalonate, 2-ketoisovalerat, N-acetyl glycoprotein signal, dimethylglycine and betaine, with statistically significant differences (| r|>0.602, all P<0.05). The level of Isovalerylglycine, 2-hydroxyisobutyrate, creatine, phosphate choline/glycerophosphocholine, 4-PY and Hippurate were significantly decreased, with statistically significant differences (| r|>0.602, all P<0.05). Conclusions:Compared with healthy children, children with VAD have differences in urine Metabolites.Differential metabolites are closely correlated with intestinal microecological ba-lance, digestive system diseases, respiratory system diseases, immune-related diseases, energy metabolism, growth and development.Urine 1H-NMR metabolomics analysis has potential application value in the early screening of VAD.