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 longitudinal association between only-child status and smartphone addiction among middle school students, so as to provide a basis for establishing family intervention measures for smartphone addiction in middle school students. Methods: In October 2022 and October 2023, a preliminary survey and follow-up were conducted among 8 759 middle and high school students from 30 schools in a district of Shenzhen. A self-designed questionnaire was used to determine whether the students were the only-child, and the Chinese Version of the Smartphone Addiction Scale-Short Version (C-SAS-SV) was utilized to assess the students smartphone addiction status. A multilevel mixed-effects model and subgroup analysis were applied to examine the association between only-child status and smartphone addiction among middle school students. Results: During 2022 to 2023, the prevalence of smartphone addiction in the cohort of middle school students increased from 24.1% to 25.2%. Compared with only-child, non-only child were more likely to be addicted to smartphones (adjusted model: OR =1.2, 95% CI =1.1-1.4) and also scored higher on smartphone addiction (adjusted model: β =0.9, 95% CI =0.2-1.5)( P <0.05). Subgroup analysis further revealed that compared to baseline, non-only child demonstrated an increased prevalence of smartphone addiction (adjusted model: OR = 1.2 , 95% CI =1.0-1.5) and higher addiction scores (adjusted model: β =0.8, 95% CI =0.2-1.5) after one year( P <0.05). Conclusions Non-only child face higher risk of smartphone addiction. Under the current population policy, it is crucial to address smartphone addiction among middle school students who is not only child.

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 explore the effect of Traditional Chinese Medicine's five-element music therapy com-bined with individualized emotional counseling intervention in patients with autoimmune liver disease of liver de-pression and spleen deficiency type.Methods 74 patients with autoimmune liver disease of liver depression and spleen deficiency type who were admitted to the hepatology department of a tertiary hospital from January 2021 to February 2022 were selected as research subjects,and they were divided into an experimental group and a control group by a random number table with 37 cases in each group.The control group was given routine treatment and nursing care,as well as Traditional Chinese Medicine's emotional nursing.The experimental group received Tradi-tional Chinese Medicine's five-element music therapy combined with individualized emotional counseling intervention on the basis of routine treatment and nursing care,with an intervention period of 4 weeks.The Generalized Anxiety Disorder Scale(GAD-7),Patient Health Questionnaire Depression Scale(PHQ-9)and Pittsburgh Sleep Quality Index(PSQI)were used to evaluate patients within 24 hours after admission and after 4 weeks of intervention.Results A total of 72 patients completed the study,with 36 in the experimental group and 36 in the control group.Before and after intervention,the scores of GAD-7,PHQ-9,and PSQI in the experimental group were compared,and the dif-ferences were statistically significant(P＜0.001).After the intervention,the GAD-7 score in the experimental group was(7.89±3.15),which was lower than(10.14±4.41)in the control group.The PHQ-9 score was(12.33±4.08)in the ex-perimental group,which was lower than(14.64±5.34)in the control group.The PSQI score was(12.39±3.06)points,which was lower than(14.22±3.37)in the control group,and the differences were statistically significant(P＜0.05).Conclusion The application of Traditional Chinese Medicine's five-element music therapy combined with individual-ized emotional guidance intervention can effectively improve the sleep quality and help alleviate negative emotions in patients with liver depression and spleen deficiency type of autoimmune liver disease.

Objective:To explore the correlations of brain network functional connectivity (FC) alterations with cerebrospinal fluid (CSF) pathological biomarkers in patients with Alzheimer's disease (AD).Methods:A total of 39 patients with cognitive impairment, admitted to Department of Neurology, Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2020 to December 2022 were recruited; 23 patients were with AD and 16 with non-AD. Clinical data were compared between the 2 groups. Resting-state functional MRI (rs-fMRI) data were collected, and FC differences between brain networks and FC differences within brain networks were compared by independent component analysis. Correlations of FC differences between brain networks and FC differences within brain networks with concentrations of β-amyloid protein 1-42 (Aβ 1-42) and Tau protein in CSF were analyzed. Results:Compared with the non-AD group, AD group had significantly lower Aβ 1-42 in CSF ( P<0.05). Compared with those in the non-AD group, FC alterations between the left frontoparietal network (lFPN) and anterior default mode network (aDMN) and between the visual network (VN) and posterior cingulate cortex (PCC), as well as FC alterations in lFPN, were significantly increased in AD group ( P<0.05). Compared with those in the non-AD group, FC alterations between lFPN and cerebellar network (CEN), and FC alterations in aDMN, sensorimotor network (SMN) and VN were significantly decreased in AD group ( P<0.05). In AD group, FC in SMN was positively correlated with total Tau and phosphorylated-Tau181 in CSF ( P<0.05); FC between VN and PCC was positively correlated with total Tau in CSF ( P<0.05). CSF Aβ 1-42 was positively correlated with FC alterations in aDMN and VN, but negatively correlated with FC in FPN ( P<0.05). Conclusion:In AD patients, characteristic changes in FC within and between multiple brain networks are noted, which are related to changes of Tau protein and Aβ 1-42 in CSF.

Objective To perform a bibliometric analysis of researches on the Plasmodium falciparum repetitive interspersed families of polypeptides (RIFIN) protein from 1993 to 2022 and identify the hot topics in the RIFIN protein research, so as to provide insights into future researches on RIFIN protein. Methods RIFIN protein-associated publications were retrieved in the Web of Science Core Collection from 1993 to 2022 and all bibliometric analyses were performed using the software CiteSpace 6.2.4.0. The annual number of RIFIN protein-associated publications was analyzed from 1993 to 2022, and country, author and institution collaboration networks were created. Keywords were extracted from RIFIN protein-associated publications for plotting keyword co-occurrence, clustering, burst and timeline maps to identify the hot topics in the RIFIN protein research. Results A total of 745 English RIFIN protein-associated publications were included in the final bibliometric analysis, and there were 18 to 36 publications each year from 1993 to 2022. The top three countries with the highest activity in the RIFIN protein research included the United States, the United Kingdom and France, universities and research institutes were highly active in the RIFIN protein research; however, no authors were identified with a high activity in the RIFIN protein research. There were three keyword clusters in the RIFIN protein-associated publications, including repetitive DNA sequence, molecular epidemiology and antigenic variation. Keyword co-occurrence, burst and timeline analyses showed that previous RIFIN protein-associated publications mainly focused on gene properties and functions, involving keywords of repetitive DNA sequence and evolution, and recent hot topics for the RIFIN protein research shifted to genetic diversity and immune response, involving keywords of genetic diversity, antigenic variation and binding. Conclusions The annual number of RIFIN protein-associated publications was relatively stable from 1993 to 2022. This bibliometric analysis may provide insights into future researches on the RIFIN protein.

Objective:To carry out the scoping review on the form, function and application effect of decision aids for breast reconstruction of breast cancer patients, so as to provide reference for domestic research on decision aids for breast reconstruction.Methods:According to the scoping review framework, literature was systematically searched on Web of Science, PubMed, Cochrane Library, Embase, Scopus, CINAHL, China National Knowledge Infrastructure, Wanfang Data, VIP, and China Biology Medicine disc. The retrieval period was from the establishment of the database to January 19, 2024.Results:A total of 14 articles were included, including 8 randomized controlled trials (RCT), four quasi-experimental studies, one qualitative study, and one prospective cohort study. The main forms of decision aids included web-based software programs, mobile applications (APP), decision support groups, or decision support manuals. The evaluation of intervention effectiveness mainly involved indicators such as patient decision regret, decision conflict, satisfaction, acceptance, and patient-reported outcomes.Conclusions:Breast reconstruction decision aids have a certain positive impact on improving patient satisfaction, decision quality, and patient-reported outcomes, but most studies have not examined their long-term effects. The research on decision aids for breast reconstruction in China is still in its infancy. It is suggested that future research should draw on relevant foreign studies to develop and advance high quality and diversified decision aids, and promote their clinical applications.

Objective:To explore the relationship between anxiety and depression, social support and sleep quality in mid-long term survival patients after liver transplantation and to verify the mediating role of anxiety and depression between social support and sleep quality.Methods:Using the convenient sampling method, a total of 280 mid-long term survivors after liver transplantation who were followed up in the liver transplantation clinic of Zhongshan Hospital Affiliated to Fudan University from January to April 2020 were selected as the research objects. Questionnaires were conducted on the patients using general information questionnaire, Pittsburgh Sleep Quality Index (PSQI) , Hospital Anxiety and Depression Scale (HADS) and Social Support Rating Scale (SSRS) . Pearson correlation analysis and structural equation model were used to test the correlation and mediating effect of anxiety and depression, social support and sleep quality. A total of 280 questionnaires were distributed in this study, 280 valid questionnaires were recovered, and the effective recovery rate was 100%.Results:The total scores of PSQI, HADS and SSRS of 280 mid-long term survivors after liver transplantation were (9.76±4.86) , (15.40±4.87) and (35.70±7.22) , respectively. The sleep quality of patients was negatively correlated with social support ( r=-0.449, P<0.01) , and positively correlated with anxiety and depression ( r=0.558, P<0.01) . Social support was negatively correlated with anxiety and depression ( r=-0.419, P<0.01) . The mediating effect analysis showed that anxiety and depression played a complete mediating role in the relationship between sleep quality and social support in mid-long term survival patients after liver transplantation. Conclusions:Sleep quality of patients with long-term survival after liver transplantation is correlated with anxiety and depression and social support. Social support of patients with liver transplantation affects sleep quality through anxiety and depression and improving social support of patients is an important way to improve their sleep quality.

【Objective】 To compare the performance of five commonly used variable selection methods in high-dimensional biomedical data variable screening so as to explore the effects of sample size and association among candidate variables on screening results and provide evidence for the development of variable selection strategy in high-dimensional biomedical data analysis. 【Methods】 Variable selection algorithms were implemented based on R-programming language. Monte Carlo method was used to simulate high-dimensional biomedical data under different conditions to evaluate and compare the performance of different variable selection methods. Variable selection performance was evaluated based on the true positive rate and true negative rate in screening. 【Results】 For specified high-dimensional data, the variable selection performance was improved for all the methods when sample size was increased, and the association between candidate variables did affect variable screening results. Simulation results indicated that the elastic network algorithm yielded the best screening performance, LASSO algorithm took the second place, and ridge algorithm did not work at all. 【Conclusion】 Elastic network algorithm is an ideal variable screening method for high-dimensional data variable screening.

Objective:Data being missed is an unavoidable problem in cohort studies. This paper compares the imputation effect of eight common missing data imputation methods involved in cutting longitudinal data through simulation study to provide a valuable reference for the treatment of missing data in longitudinal studies.Methods:The simulation study is based on R language software and generates missing longitudinal data by the Monte Carlo method. By comparing the average absolute deviation, average relative deviation, and TypeⅠerror from the regression analysis of different imputation methods, the imputation effect of varying imputation methods on missing longitudinal data and the influence on subsequent multivariate analysis are evaluated.Results:The mean imputation, k nearest neighbor (KNN), regression imputation, and random forest all have a similar imputation effect, which is also steady. However, the hot deck is inferior to the above imputation methods. K-means clustering and expectation maximization (EM) algorithm are among the worst and unstable. Mean imputation, EM algorithm, random forest, KNN, and regression imputation can control TypeⅠerror. Still, multiple imputations, hot deck, and K-means clustering cannot effectively manage the TypeⅠerror.Conclusions:For missing data in longitudinal studies, mean imputation, KNN, regression imputation, and random forest can be used as better imputation methods under the mechanism of missing at random. When the missing ratio is not too large, multiple imputations and hot deck can also perform well, but K-means clustering and EM algorithm are not recommended.