Objective: To explore the relationship between sleep characteristics, physical activity patterns, with depressive and anxiety symptoms in college students, so as to provide reference for student mental health promotion. Methods: From September to November 2023, a convenience sampling method was used to select 7 954 college students aged 18-22 years from 9 universities in Shanghai, Hubei, and Jiangxi. Assessments were conducted using the International Physical Activity Questionnaire Short-Form (IPAQ-SF), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Scale-7 (GAD-7), and Pittsburgh Sleep Quality Index (PSQI) to evaluate physical activity, depressive and anxiety symptoms, and sleep quality, respectively. Logistic regression analysis was employed to explore the impact of sleep characteristics and physical activity patterns on depressive and anxiety symptoms and their comorbidity among college students. Results: The detection rates for depressive symptoms, anxiety symptoms, and comorbid depression and anxiety symptoms were 25.67%, 35.39%, and 23.15%, respectively. Factors such as gender, grade, household registration, parental education level, annual family income, family structure, and dietary habits were all associated with the detection rates of depressive and anxiety symptoms and their comorbidity (χ2=4.41-118.39, P<0.05). Physical activity patterns, sleep duration, sleep quality, and sleepwake characteristics were also associated with the occurrence of depressive and anxiety symptoms and their comorbidity (χ2=9.66-627.70, P<0.05). Logistic regression analysis showed that college students who stayed up late and slept less than 7 had the highest risk of depressive and anxiety symptoms and their comorbidity (OR=1.93, 1.85, 1.88, P<0.05). Compared to regular physical activity patterns, insufficient physical activity patterns were associated with an increased risk of depressive and anxiety symptoms (all OR=1.18, P<0.05). Further stratified analysis results showed that the risk of depression, anxiety and their comorbidity increased in college students who stayed up late and slept less than 7 h, went to bed before midnight and slept less than 7 h, or went to bed before midnight and slept more than 7 h but did not have sufficient physical activity (P<0.05). Conclusions Sleep characteristics and physical activity patterns significantly affect depressive and anxiety symptoms in college students. Universities should strengthen sleep management and implement flexible physical activity interventions to help students establish healthy lifestyles.

BACKGROUND:The authors found that when the bilateral percutaneous vertebral augmentation is used to treat osteoporotic vertebral compression fractures with a total bone cement injection of 4 mL or more,different distribution patterns were usually presented on the X-rays;however,there were few reports addressing the effects of these patterns of bone cement distribution on the biomechanical properties of fractural vertebrae. OBJECTIVE:To further explore the biomechanical effects of different bone cement filling doses and distribution patterns on biomechanics of the fractural vertebrae using the finite element method. METHODS:The L1-L3 finite element models of osteoporosis were established,and the vertebral compression fractures were simulated in L2.Four distribution patterns bilateral partial fusion(FH type),full fusion(FO type),symmetrical separation(SA type),and asymmetric segregation(SN type)were simulated in 4 and 6 mL injections in the osteoporotic vertebral compression fracture models,respectively,and a total of nine sets of models were obtained.These models were solved under the same boundary conditions and compared with the stress and displacement of the L2 fractural vertebra. RESULTS AND CONCLUSION:(1)The maximum stresses of the nine groups of models were concentrated in the L2 fractural area,and the maximum stress and maximum displacement of each filling model were lower than in the osteoporotic vertebral compression fracture model,indicating the effectiveness of bone cement filling in the treatment of osteoporotic vertebral compression fracture.(2)Compared with 4 mL bone cement filling,6 mL bone cement filling could significantly reduce the stress of fractured vertebrae and enhance the strength of fractured vertebrae while improving the stability of fractured vertebrae.(3)In the same state of movement,the FH type stress was the least,followed by the SA type,both of which were close.FO type stress was the largest,especially in the lateral bend,which might be associated with its cluster shape resulting in the concentration of lateral stress.In the aspect of displacement,FH type was the least and FO type was the largest.(4)The results show that increased dose of bone cement injection reduces fractural vertebral stress and improves stability,but increases the risk of leakage.Bilateral symmetrical dispersed bone cement(FH type,SA type)is superior in restoring vertebral strength and stability than full fusion(FO type),asymmetric separated(SN type)bone cement.Therefore,when clinically performing bilateral percutaneous vertebral augmentation treatment of osteoporotic vertebral compression fractures,the bilateral symmetric dispersions of the distribution are first guaranteed;priority is recommended for FH type distribution,for appropriate stress stimulation and best stability.

BackgroundFear of progression is one of the typical psychological consequences in patients with chronic obstructive pulmonary disease （COPD）. The level of fear of progression is affected by the illness perception status， and the link between social support and fear of progression is acknowledged， whereas the mechanism underlying the three remains unclear due to the lack of empirical research evidence and needs to be further studied. ObjectiveTo explore the mediating role of social support in the relationship between illness perception and fear of progression in COPD patients， and to provide references for effectively alleviating fear in COPD patients. MethodsA total of 435 COPD patients admitted to the Department of Respiratory and Critical Care Medicine， the Affiliated Hospital of Southwest Medical University from March 9 to July 31， 2024 were selected as the study objects. The Chinese version of Fear of Progression Questionnaire-Short Form （FoP-Q-SF）， Chinese version of Brief Illness Perception Questionnaire （BIPQ） and Social Support Rate Scale （SSRS） were used for the evaluation. Pearson's coefficient was calculated to assess the correlation among above scales. Model 4 of the Process macro 3.4.1 for SPSS 25.0 was used to test the mediating effect of social support on the relationship between illness perception and fear of progression， with Bootstrapping used to evaluate the significance of mediating effect. ResultsA total of 412 patients （94.71%） completed this study.BIPQ score was positively correlated with FoP-Q-SF score （r=0.238， P<0.01）， and negatively correlated with SSRS score in COPD patients （r=-0.260， P<0.01）. FoP-Q-SF score was negatively correlated with SSRS score （r=-0.271， P<0.01）. Social support mediated the relationship between illness perception and fear of progression， with an indirect effect value of 0.025 （95% CI： 0.009~0.041）， accounting for 13.02% of the total effect. ConclusionIllness perception can affect the fear of progression in COPD patients both directly and indirectly through social support. ［Funded by Nursing Research Project of Sichuan Province （number， H22010）］

Objective:To explore the awareness and experiences of elder abuse among staff in nursing homes.Methods:Qualitative studies on elder abuse by nursing home staff were systematically searched in databases, including China Biology Medicine disc, Wanfang data, Web of Science, and PubMed, up to August 15, 2023. A meta-synthesis approach was employed to categorize and integrate the findings.Results:Fourteen articles were included, yielding 93 themes. After repeated reading, analysis, and comparison, similar results were categorized into 12 new categories, synthesized into three integrated outcomes: causes of elder abuse, forms of elder abuse, and strategies for prevention and intervention of elder abuse.Conclusions:Staff should pay attention to the issue of elder abuse in nursing homes, establish closer connections between institutions, the aged, and their families, and promote healthy aging within these facilities.

The mechanistic target of rapamycin(mTOR)plays a pivotal role in various cellular processes,including growth,proliferation and differentiation.As an essential component of the human immune system,T lymphocytes are regulated by mTOR through metabolic pathways such as carbohydrate metabolism and lipid metabolism.This article summarizes the critical role of mTOR in T cell differentiation and reviews recent advances in natural compounds that modulate T cells via mTOR.These findings contribute to the development of mTOR-targeted therapies for diseases.

An innovative on-site real-time avian influenza virus(AIV)detection method was estab-lished by integratingrecombinase-aided amplification(RAA)with the clustered regularly inter-spaced short palindromic repeats(CRISPR)/CRISPR-associated protein(Cas)system.After analy-zing 120 sequences of the M gene of avian influenza viruses of different subtypes publicly available on NCBI,the RAA primers and crRNA were designed based on the identified highly conserved segment and used for RAA nucleic acid amplification.After the amplified products were transferred to a CRISPR/Cas13a detection system,the fluorescence values were monitored throughout the re-action process to indicate the results.The sensitivity and specificity of the RAA-CRISPR/Cas13a method were validated using gradient dilutions(106-100 copies/μL)of positive plasmids and sev-en other avian viruses.Fifty clinical samples were tested using this method and compared with the national standard fluorescence RT-PCR method.The results indicated that the detection limit for RAA-CRISPR/Cas13a method was 102 copies/μL,a two-fold improvement over the standard RAA.Specificity assay showed the established method only detected AIV with no cross-reactivity with other seven avian viruses.Compared to the national standard fluorescence RT-PCR method,this method exhibited 100％specificity,95.24％accuracy,and 98.00％consistency in detection of clinical samples.In conclusion,a universal and rapid RAA-CRISPR/Cas13a for detection of AIV was established with the capacity of achieving detection within 60 minutes at 37 ℃,which provides a rapid,sensitive,and specific on-site detection method for AIV.

Objective:To analyze the prognostic outcomes of 1 147 patients who underwent liver transplantation at Qingdao University Affiliated Hospital and to summarize measures to enhance the efficacy of liver transplantation.Methods:A retrospective analysis was conducted on the clinical and follow-up data of 1 147 liver transplant patients at Qingdao University Affiliated Hospital.Results:The overall postoperative 1-, 3-, and 5-year survival rates for the 1 147 liver transplant patients were 87.20%, 73.40%, and 65.60%, respectively. The survival rates for benign disease liver transplant recipients were 88.01%, 84.98%, and 81.39% at 1, 3, and 5 years post-transplant, respectively, compared to recipients transplanted for malignancies of 78.11%, 64.41%, and 60.06% (all P<0.001). Among the mid vs more recent period, patients' 1-year and 3-year postoperative survival rates were 84.20%, 70.80% vs 90.50%, 71.70%, respectively,significantly in favor of recently enrolled patients ( P=0.022). In the complex surgery group, patients' 1-, 3-, and 5-year survival rates were 82.70%, 65.50%, 56.70%, while in less complicated group, it was 89.00%, 76.50%, 69.20% ( P<0.001). The primary causes of death for benign disease recipients were multi-organ failure (4.1%), while in recipients with malignant disease primary cause of death was tumor recurrence (23.7%). Postoperative complications included primary graft dysfunction, delayed graft function recovery, portal vein thrombosis, hepatic artery thrombosis, biliary stricture, post-transplant lymphoproliferative disorder, and graft-versus-host disease, with occurrence rates of 1.05%, 6.89%, 1.92%, 0.44%, 2.00%, 0.61%, and 0.44%, respectively. Conclusions:With the continuous improvement in surgical techniques and perioperative care levels, the 3-year survival rate of recipients at our center has increased. Malignant diseases and complex liver transplantation remain crucial factors affecting recipient prognosis, highlighting the need to further enhance comprehensive treatment capabilities for patients with malignant diseases and complex surgeries.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Objective To observe the disinfection effect of hypobromic acid on the oral comprehensive treatment table water system(DUWLs).Methods The research equipment was selected from hospital DUWLs,including 20 sets of three purpose spray guns,dental mobile phones,and water cup injectors.The three types of equipment were arranged in numbers 1-20,with devices 1-10 included in the experimental group and devices 11-20 included in the control group.The control group was not disinfected with DUWLs,while the experimental group was disinfected with hypobromic acid.Before daily diagnosis and treatment,water samples were collected for 3 minutes after rinsing.The collection time was on the 0th,1st,2nd,3rd,4th,5th,8th,10th,15th,20th,25th,and 30th days,with a total of 12 samples taken.The generalized estimation equation was constructed to compare the colony count of the cell phone jack,the water cup outlet and the three gun sockets of the two groups at different time points.The qualified rate of DUWLs water samples was compared.Results The generalized estimation equation was constructed to test the significance of the fixed effect of intercept,group,time point,group time point for the bacterial count of the two groups of mobile phone jack parts,the water cup outlet parts and the three gun jack parts.The variation difference between the two groups of data at different time points was statistically significant(P<0.05).Before the first treatment,the number of colonies in the experimental group was 16 800 more than that in the control group(P<0.05).On the 30th day,the bacterial count in the control group decreased by 29 000 compared to before the first consultation.On the 30th day,the decrease in bacterial count in the experimental group was 35 250 more than that in the control group(P<0.05).There was no statistical significant difference in the number of colonies at the cell phone socket between the two groups before the first diagnosis(P>0.05).On the 30th day,the bacterial count in the control group decreased by 86 900 compared to before the first consultation.On the 30th day,the decrease in bacterial count in the experimental group was 16 350 more than that in the control group(P>0.05).There was no statistical significant difference between the two groups in the number of colonies in the outlet of the water cup before the first diagnosis(P>0.05).On the 30th day,the bacterial count in the control group decreased by 25 550 compared to before the first consultation.On the 30th day,the decrease in bacterial count in the experimental group was 11 800 more than that in the control group(P<0.05).The pass rate of mobile phone jack,water cup outlet and gun jack in the experimental group was higher than that in the control group before diagnosis and treatment and after rinsing for 3 minutes,and the difference was statistically significant(P<0.05).Conclusion Using hypobromic acid for DUWLs disinfection can reduce bacterial count and improve the qualified rate of water samples.

Objective To propose a measurement method based on improved YOLOv8 for the anterior segment parameters of ultrasonic biological microscopy(UBM)images to solve the problems of the ophthalmic ultrasound images in low quantity,high annotation cost and weak model generalization ability.Methods Firstly,data enhancement using StyleGAN3 was carried out to improve YOLOv8 model in decreased sensitivity to UBM images and increased generalization ability;secondly,the pseudo-labels of virtual UBM images were generated based on the YOLOv8 model with the original UBM images as the dataset and the method of pseudo-label self-training in semi-supervised learning;finally,the YOLOv8 model was trained with the expan-ded dataset and improved with the global context network(GCNet)module,and the prediction results of the YOLOv8 model were sorted using the key-point ranking algorithm,and the measurements of the anterior segment physiological parameters were computed after screening qualified images based on prior knowledge.Results Compared with the hand-labeled results by the ophthalmologists,the localization error of the StyleGAN3 data-enhanced and self-trained YOLOv8 model was(61.94±40.66)μm,and the mean relative errors for the measurements of anterior chamber angle distance,pupil diameter,ciliary sulcus distance,central corneal thickness,anterior chamber depth and lens thickness were 0.62％,1.35％,0.68％,4.87％,0.93％and 0.75％,respectively.Conclusion The method proposed enhances the accuracy of the measurement method for anterior segment parameters of UBM images,and can meet real-time requirements.[Chinese Medical Equipment Journal,2024,45(2):8-16]