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.

The aim of this study is to investigate the protective effect of idebenone (IDE) combined with borneol (BO) against Parkinson's disease (PD). In this study, wild-type AB zebrafish and transgenic Tg ( vmat2: GFP) zebrafish with green fluorescence labeled dopamine neurons were used to establish the PD model with 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine hydrochloride (MPTP). Following drug treatment, the behavioral performance and dopamine neuron morphology of zebrafish were evaluated, and regulation of dopamine signaling pathway-related genes was determined using RT-qPCR. The results showed that IDE combined with BO improved the behavioral disorders of zebrafish such as bradykinesia and shortening movement distance, also effectively reversed the damage of MPTP-induced dopaminergic neurons. At the same time, the expression of dopamine synthesis and transportation-related genes was up-regulated, and the normal function of the signal transduction pathway was restored. The combination showed a better therapeutic effect compared to the IDE monotherapy group. This study reveals the protective mechanism of IDE combined with BO on the central nervous system for the first time, which provides an important experimental basis and theoretical reference for clinical combination strategy in PD treatment.
Animals ; Zebrafish ; Signal Transduction/drug effects* ; Animals, Genetically Modified ; Dopamine/metabolism* ; Neuroprotective Agents/pharmacology* ; Disease Models, Animal ; Camphanes/pharmacology* ; Ubiquinone/pharmacology* ; Parkinson Disease/drug therapy* ; Dopaminergic Neurons/metabolism*

In the YY 0989.3-2023 standard, clause 27.106 specifies the protection test against electromagnetic interference, but it only briefly describes the test level for electromagnetic exposure, and does not detail the parameters of the torso. This study aims to explore the internal field distribution for different torso parameters under electromagnetic exposure, and explore the patterns of field distribution through modeling and simulation. The results indicate that the parameters of the torso significantly affect the internal field distribution. The findings of this study provide a basis and reference for the electromagnetic compatibility test for implantable neurostimulator products.
Electromagnetic Fields ; Implantable Neurostimulators ; Computer Simulation

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.

ObjectiveBy exploring the influencing factors of readmission in patients with stable angina of coronary heart disease （CHD） based on real-world clinical data， to establish a risk prediction model of integrated traditional Chinese and western medicine， in order to provide a basis for early identification of high-risk populations and reducing readmission rates. MethodsA prospective clinical study was conducted involving patients with stable angina pectoris of CHD， who were divided into a training set and a validation set at a 7∶3 ratio. General information， traditional Chinese medicine （TCM）-related data， and laboratory test results were uniformly collected. After a one-year follow-up， patients were classified into a readmission group and a non-readmission group based on whether they were readmitted. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for readmission. A risk prediction model of integrated traditional Chinese and western medicine was constructed and visualized using a nomogram. The model was validated and evaluated in terms of discrimination， calibration， and clinical decision curve analysis. ResultsA total of 682 patients were included， with 477 in the training set and 205 in the validation set， among whom 89 patients were readmitted. Multivariate logistic regression analysis identified heart failure history ［OR = 6.93， 95% CI （1.58， 30.45）］， wiry pulse ［OR = 2.58， 95% CI （1.42， 4.72）］， weak pulse ［OR = 3.97， 95% CI （2.06， 7.67）］， teeth-marked tongue ［OR = 4.38， 95% CI （2.32， 8.27）］， blood stasis constitution ［OR = 2.17， 95% CI （1.06， 4.44）］， phlegm-stasis mutual syndrome ［OR = 3.64， 95% CI （1.87， 7.09）］， and elevated non-high-density lipoprotein cholesterol ［OR = 1.30， 95% CI （1.01， 1.69）］ as influencing factors of readmission. These factors were used as predictors to construct a nomogram-based risk prediction model for readmission in patients with stable angina. The model demonstrated moderate predictive capability， with an area under the receiver operating characteristic curve （AUC） of 0.818 ［95% CI （0.781， 0.852）］ in the training set and 0.816 ［95% CI （0.779， 0.850）］ in the validation set. The Hosmer-Lemeshow test showed good calibration （χ² = 4.55， P = 0.80）， and the model's predictive ability was stable. When the threshold probability exceeded 5%， the clinical net benefit of using the model to predict readmission risk was significantly higher than intervening in all patients. ConclusionHistory of heart failure， teeth-marked tongue， weak pulse， wiry pulse， phlegm-stasis mutual syndrome， blood stasis constitution， and non-high-density lipoprotein cholesterol are influencing factors for readmission in patients with stable angina of CHD. A clinical prediction model was developed based on these factors， which showed good discrimination， calibration， and clinical utility， providing a scientific basis for predicting readmission events in patients with stable angina.

Objective To investigate the three-dimensional changes in hard and soft tissues before and after treatment with digitally fabricated maxillary skeletal expanders in patients with maxillary transverse deficiency.Methods Twenty late adolescents or adults with maxillary transverse deficiency treated at the Orthodontic Department of Affiliated Stomatological Hospital of Nanjing Medical Uni-versity using digitally fabricated maxillary skeletal expanders were included.Cone-beam computed tomography(CBCT)scans were ob-tained before and after treatment.Three-dimensional measurements were analyzed using Dolphin 3D 11.95 software,and statistical anal-ysis was performed with SPSS software.Paired t-tests were used to compare pre-treatment and post-treatment changes in hard and soft tissues.Results Significant increases were observed in anterior midpalatal suture width,posterior midpalatal suture width,maxillary apical base width,and maxillary alveolar width(P＜0.001).No significant changes were found in alveolar ridge inclination,alveolar ridge height,LSNA(P＞0.05).Significant increases occurred in apical distance,cementoenamel junction distance,and inter-fossa distance(P＜0.001),while first molar inclinationand ∠U1-SN remained stable(P＞0.05).Significant improvements were noted in upper airway volume,nasal floor base width,and nasal cavity width(P＜0.001).Conclusion For late adolescents or adults with max-illary transverse deficiency,digitally fabricated maxillary skeletal expanders can achieve near-parallel expansion of the midpalatal suture,effectively improving maxillary transverse dimensions and airway volume while minimizing dental side effects.

BACKGROUND:Central fatigue refers to the phenomenon where changes in the functions of the central nervous system lead to a decline in an individual's exercise capacity and an increase in the sense of fatigue.With the continuous development of sports science,the mechanisms of exercise-induced central fatigue have gradually become a research hotspot.Although a large number of studies have explored the roles of biological mechanisms such as neurotransmitters,energy metabolism,and neuroinflammation in central fatigue,the interactions of these mechanisms and their manifestations in different exercise scenarios are still not fully understood.OBJECTIVE:To explore various biological mechanisms of exercise-induced central fatigue,clarify the interactions of neurotransmitters,energy metabolism,neural network activities,neuroinflammation,and oxidative stress in the formation of fatigue,and thereby provide a new perspective for understanding central fatigue.METHODS:Web of Science,PubMed,CNKI,WanFang,and VIP databases were searched with search terms"central fatigue,neurophysiological basis,exercise,physical activity,neurotransmitters,serotonin,dopamine,glutamate,GABA,energy metabolism,astrocytes,neuroinflammation,oxidative stress,cortical activity,neural network activity,sport"in Chinese and English.Relevant literature published from the establishment of each database to August 2024 was retrieved,and finally 74 articles were included for review.RESULTS AND CONCLUSION:Exercise-induced central fatigue involves multiple complex biological mechanisms.The imbalance of neurotransmitters(such as serotonin,dopamine,glutamate,and γ-aminobutyric acid)is a key factor in central fatigue.In particular,the increase in serotonin is closely related to the enhancement of the sense of fatigue.The disorder of energy metabolism,especially the glycogen metabolism of astrocytes and the supply of lactic acid,plays an important role in the formation of fatigue during long-term exercise.Neuroinflammation and oxidative stress exacerbate the manifestations of central fatigue by affecting the release of neurotransmitters and the functions of neural networks.In addition,changes in the activities of neural networks,such as the decrease in the excitability of the cerebral cortex,directly affect exercise performance.Future studies should strengthen the comprehensive exploration of neurotransmitter,metabolic,and inflammatory pathways,conduct more human studies to verify the findings of animal experiments,explore the differences in the mechanisms of central fatigue under different exercise conditions(such as intensity,time,and environment),and study the potential of drug interventions or nutritional supplements based on neurotransmitter regulation in alleviating central fatigue.

Minimally invasive spinal surgery is highly demanding for surgeons due to its limited visual field, restricted operating space, and complex anatomical structures, posing significant surgical risks. As cutting-edge virtual reality technologies, augmented reality (AR) and mixed reality (MR) have shown great potential in such surgeries. This paper focuses on the application and research progress of AR and MR technologies in minimally invasive spine surgery, highlighting their core advantages and innovations in three key aspects: preoperative planning, intraoperative assistance, and teaching and training. Research findings indicate that AR and MR technologies significantly reduce surgical uncertainty and risk by providing intuitive and three-dimensional image data. The real-time navigation and localization functions during surgery greatly enhance the precision and safety of the procedures. In teaching and training, the immersive experience and high interactivity of these technologies bring revolutionary changes to medical education, significantly improving teaching efficiency and learning interest. However, the current challenges faced by these technologies include technological maturity, equipment costs, and physician training. Future efforts should focus on strengthening technology development, reducing costs, and enhancing physician training to promote the continuous development of AR and MR technologies in minimally invasive spine surgery.

Mitochondria are widely involved in the important pathophysiological processes such as cell apoptosis,metabolism,immune response,and signal transduction,and are the central hub of energy metabolism in most eukaryotic cells.Oxidative phosphorylation(OXPHOS)is a key link in mitochondrial adenosine triphosphate(ATP)production for energy supply.Mitochondria provide potential energy through an electron transport chain,which generates a proton gradient in the mitochondrial inner membrane and reacts with complex ATPase to produce ATP.Ischemia,hypoxia,and other factors can cause mitochondrial damage,imbalance of OXPHOS,leading to myocardial energy deficiency,oxidative stress damage,cell apoptosis,and other important mechanisms in the occurrence and development of cardiovascular diseases.Traditional Chinese medicine has a definite therapeutic effect on improving cardiovascular diseases,and its mechanism may be closely related to regulating mitochondrial OXPHOS and reducing structural and functional damage to myocardial cells.Based on this,the mechanism of mitochondrial OXPHOS in cardiovascular diseases and the intervention effect of traditional Chinese medicine were systematically reviewed to provide a basis for clinical treatment of cardiovascular diseases.