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 analyze the clinical value of 18F-FDG PET/MR for precise localization of epileptogenic foci in patients with refractory epilepsy. Methods:From February 2019 to December 2021, 81 patients (52 males, 29 females; age (30.0±10.9) years) with refractory epilepsy confirmed in Ruijin Hospital Shanghai Jiao Tong University School of Medicine were retrospectively enrolled. All patients underwent preoperative PET/MR exam, and the possible position of the epileptogenic foci were determined by PET/MR imaging and pre-surgical evaluation, then the stereoelectroencephalography (SEEG) electrodes were implanted. Surgery was performed, and outcome was assessed by using a modified Engel classification two years after surgery. χ2 test was used to compare the detection rates of MRI and PET/MR fusion imaging in localizing epileptogenic foci and the detection rates of epileptogenic foci in temporal lobe epilepsy (TLE) and extratemporal lobe epilepsy (ETLE) by PET/MR. Results:MRI correctly localized seizure foci in 38 patients, with the detection rate of 46.91%(38/81), while PET/MR detected seizure foci in 73 patients, with the detection rate of 90.12%(73/81; χ2=35.05, P<0.001). There were 63 TLE and 18 ETLE patients. The detection rate of PET/MR in localizing seizure foci in TLE patients was 95.24%(60/63), which was significantly higher than that in ETLE patients (13/18; χ2=5.94, P=0.015). After 2 years follow-up, the postoperative efficacy rate of TLE patients with Engel grades Ⅰ-Ⅱ was 76.19%(48/63), which was 13/18 of ETLE patients ( χ2=0.12, P=0.731). Conclusion:Hybrid PET/MR imaging can accurately locate epileptogenic foci, especially for MRI negative lesions, which provides precision imaging information for surgical planning and improves surgical success rate.

Background Acute carbon monoxide poisoning is now one of the major causes of morbidity and mortality in occupational and non-occupational poisoning in China, and become a serious public health problem. Understanding the current and predicting the future disease burden of carbon monoxide poisoning are essential for adopting effective disease prevention and control strategies in the future. Objective To understand the burden of disease of carbon monoxide poisoning in China from 1990 to 2019 and predict the trend of morbidity and mortality in the following decade to provide a scientific basis for the prevention of carbon monoxide poisoning in China. Methods The incidence, mortality and disability-adjusted-life-years (DALYs) rates of carbon monoxide poisoning in China from 1990 to 2019 were extracted from the Global Burden of Disease Database (GBD2019). Time trend analysis of the burden of disease for carbon monoxide poisoning was performed using Joinpoint 5.0.2 software, and annual percentage change (APC) and average annual percentage change (AAPC) and their 95%CIs were calculated. Bayesian age-period-cohort model (BAPC) and Nordpred age-period-cohort model were used in R 4.3.3 to predict the disease burden of carbon monoxide poisoning among Chinese residents in 2020—2029. Results An overall increasing trend of the age-standardized incidence rate of carbon monoxide poisoning in China from 1990 to 2019 was observed and AAPC=1.05%, of which the AAPC for women was 0.90% and that for men was 1.16%. An overall decreasing trend of the age-standardized mortality rate and age-standardized DALYs from 1990 to 2019 was observed and the AAPC for males or females was <0. the results of the BAPC model expected that an increasing trend from 2020 to 2029 in age-standardized morbidity rate (females: 18.85/100 000 in 2020 to 19.12/100,000 in 2029; males: 22.51/100 000 in 2020 to 22.60/100 000 in 2029); and a decreasing trend in age-standardized mortality rate (females: 0.70/100,000 in 2020 to 0.52/100 000 in 2029; males: 1.13/100 000 in 2020 to 0.97/100 000 in 2029). The results of the Nordpred age-period-cohort model showed similar trends, suggesting that the results were stable. Conclusion Carbon monoxide poisoning caused a serious burden of disease in the Chinese population during the period 1990—2019, with adolescents and middle-aged and elderly people being the most affected groups. Subsequent projections have shown an upward trend in age-standardized incidence rates and numbers of cases, so we still need to deepen the implementation of prevention and treatment of the occurrence and development of carbon monoxide poisoning, and to reduce the harm it causes to the population.

Objective To investigate the effects of dexmedetomidine(Dex)on osteoporosis(OP)rats and possible mechanisms.Methods The rats were divided into sham operation group,osteoporosis model group(OP,replica-ting the OP rat model with bilateral ovariectomies),Dex-L,M,and H(Dex low,medium,and high dose treat-ments)groups and Dex-H+XAV-939 group(Wnt/β-catenin pathway inhibitor).Micro-CT was applied to meas-ure bone mineral density(BMD)and bone microstructure of rat femurs.The three-point bending experiment was applied to analyze the biomechanics of the femur(maximum load,fracture deflection,elastic modulus).HE stai-ning was applied to observe pathological changes in the femur of rats.ELISA method was applied to evaluate bone metabolism indicators such as alkaline phosphatase(ALP),typeⅠ procollagen amino-terminal peptide(PINP)and typeⅠcollagen cross-linked C-telopeptide(CTX-Ⅰ).The expression of Runx2 and Wnt3a was examined by Immunohistochemistry.Western blot was applied to detect the protein expression of Runx2 and Wnt3a/β-catenin pathway in femoral tissue.Results Compared to the Sham group,the bone volume and number of trabeculae in OP group were obviously reduced,the maximum load,fracture deflection,elastic modulus,BMD,Tb.Th,Tb.N,BV/TV,ALP,PINP,Runx2,Wnt3a,β-catenin expression decreased,CTX-Ⅰ increased(P＜0.05).Compared to the OP group,the bone trabecular structure in the Dex-L,M,and H groups was restored,the maxi-mum load,fracture deflection,elastic modulus,BMD,Tb.Th,Tb.N,BV/TV,ALP,PINP,Runx2,Wnt3a,β-catenin expression all increased but CTX-Ⅰ decreased(P＜0.05).Compared to the Dex-H group,the bone trabecular injury in the Dex-H+XAV-939 group showed a more severe damage.The maximum load,fracture de-flection,elastic modulus,BMD,Tb.Th,Tb.N,BV/TV,ALP,PINP,Runx2,Wnt3a,β-catenin expression decreased while CTX-Ⅰ increased(P＜0.05).Conclusions Dex may antagonize OP effects by improving bone density,biomechanical properties and microstructure.The underlying mechanism might be related to the activation of the Wnt/β-catenin signaling pathway.

Introduction::The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, a novel biomarker for metabolic syndrome (MetS), has been validated in the general population as being significantly correlated with cardiovascular disease (CVD) risk. However, its capabilities to predict CVD in people living with human immunodeficiency virus (HIV; PLWH) remain underexplored.Methods::We conducted a retrospective cohort study of 16,081 PLWH who initiated antiretroviral therapy (ART) at the Third People’s Hospital of Shenzhen (China) from 2005 to 2022. The baseline TG/HDL-C ratio was calculated as TG (mmol/L) divided by HDL-C (mmol/L). We employed a multivariate Cox proportional hazards model to assess the association between the TG/HDL-C ratio and CVD occurrence, using Kaplan-Meier curves and log-rank tests to compare survival distributions. The increase in prediction risk upon the addition of the biomarker to the conventional risk model was examined through the assessment of changes in net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Nonlinear relationships were investigated using a restricted cubic spline plot, complemented by a two-piecewise Cox proportional hazards model to analyze threshold effects.Results::At the median follow-up of 70 months, 213 PLWH developed CVD. Kaplan-Meier curves demonstrated a significant association between the increased risk of CVD and a higher TG/HDL-C ratio (log-rank P <0.001). The multivariate-adjusted Cox proportional hazards regression model indicated that the CVD hazard ratios (HR) (95% confidence intervals [95% CIs]) for Q2, Q3, and Q4 versus Q1 of the TG/HDL-C ratio were 2.07 (1.24, 3.45), 2.17 (1.32, 3.57), and 2.20 (1.35, 3.58), respectively ( P <0.05). The consideration of the TG/HDL-C ratio in the model, which included all significant factors for CVD incidence, improved the predictive risk, as indicated by the reclassification metrics (NRI 16.43%, 95% CI 3.35%-29.52%, P = 0.014). The restriction cubic spline plot demonstrated an upward trend between the TG/HDL-C ratio and the CVD occurrence ( P for nonlinear association = 0.027, P for overall significance = 0.009), with the threshold at 1.013. Significantly positive correlations between the TG/HDL-C ratio and CVD were observed below the TG/HDL-C ratio threshold with HR 5.88 (95% CI 1.58-21.88, P = 0.008), but not above the threshold with HR 1.01 (95% CI 0.88-1.15, P = 0.880). Conclusion::Our study confirms the effectiveness of the TG/HDL-C ratio as a predictor of CVD risk in PLWH, which demonstrates a significant nonlinear association. These findings indicate the potential of the TG/HDL-C ratio in facilitating early prevention and treatment strategies for CVD among PLWH.

Objective To investigate the gross alpha and gross beta radioactivity levels in drinking water around Shidao Bay Nuclear Power Plant before its operation. Methods Ten sampling sites were set up within 30 km of Shidao Bay Nuclear Power Plant. From 2018 to 2021, samples were collected during the dry season and wet season each year and were tested in a laboratory according to Standard examination methods for drinking water—radiological parameters (GB/T 5750.13—2006). Results From 2018 to 2021, the gross alpha radioactivity in drinking water within 30 km of Shidao Bay Nuclear Power Plant was within the range of about 0.004-0.420 Bq/L, which does not exceed the guided gross alpha radioactivity specified in the National Standard; from 2018 to 2021, the gross beta radioactivity level was about 0.008-1.050 Bq/L. In 2018, the gross beta radioactivity at the sampling site 4.7 km from the Nuclear Power Plant exceeded the guided level specified in the National Standards for Drinking Water Quality (GB 5749—2006), but it fell within the guided level in a repeat laboratory test after deducting the effect of ⁴⁰K on the gross beta radioactivity. Conclusion After deducting the effect of ⁴⁰K on the gross beta radioactivity, the gross alpha and gross beta radioactivity levels in drinking water within 30 km of Shidao Bay Nuclear Power Plant are within the guided levels specified in the National Standards.

Objective To analyze the main active components and potential molecular mechanism of Sophora flavescens against breast cancer based on network pharmacology and molecular docking. Methods The chemical constituents were collected and screened by TCMSP, ETCM database and literature review. The targets of active ingredients were predicted by Swiss Target Prediction database. Breast cancer-related targets were collected by GeneCards, TTD, Drugbank and OMIM. The anti-breast cancer targets of Sophora flavescens were screened by Venny 2.1.0 software. Cytoscape software was used to construct the network diagram of Sophora flavescens-key active ingredients-targets. STRING database was used to analyze the common targets, and PPI network diagram was constructed. GO function enrichment analysis and KEGG pathway enrichment analysis of key target proteins were performed by DAVID database and Hiplot online platform. Schrodinger software was used to calculate the molecular docking between the active ingredients and targets. Molecular biological methods were used to verify the key targets. Results A total of 36 active components with clear structures were screened from Sophora flavescens. 70 anti-breast cancer targets of Sophora flavescens were screened out. 12 core targets including EGFR, AKT1, ESR1, SRC, CYP19A1, AR and ABCB1 participate in endocrine resistance, EGFR tyrosine kinase inhibitors and estrogen signaling pathways in breast cancer. Moreover, the docking score between the core component and the key target AR is the highest. In vitro experiments showed that the extract of Sophora flavescens can inhibit the proliferation of breast cancer cells, induce cell apoptosis and up-regulate AR protein expression. Conclusion It was revealed that Sophora flavescens plays an anti-breast cancer role by regulating complex biological processes through multiple components acting on multiple targets and signaling pathways. The upregulation of AR protein by Sophora flavescens may become a new therapeutic strategy for the treatment of breast cancer.

Objective:To summarize the levels of individual dose to radiation workers in Shandong province from 2016 to 2020, and to analyze the trends in their change in order to provide scientific basis for radiation workers′ health management.Methods:The experimental detection and quality control were carried out in compliance with the national standards Specifications for individual monitoring of occupational external exposure (GBZ 128-2019) and the Testing criteria of personnel dosimetry performance for external exposure (GBZ 207-2016). The result of the personal dose monitoring of occupational external exposure of all radiation workers monitored by the Centers for Disease Control and Prevention in 16 cities of Shandong province were retrospectively analyzed by using SPSS 23.0 software.Results:The total number of monitored workers were 25 523 with an average annual individual effective dose of 0.28 mSv. There were statistically significant differences among radiation workers in different years ( H= 2 815.91, P<0. 001). The average annual individual effective dose showed an upward trend followed by a downward trend. The average annual effective dose of 0.55 mSv for nuclear medicine radiation workers in medical applications was the highest, with statistically significant differences among different occupational radiation workers ( H=310.37, P<0.001). The average annual effective dose of 0.37 mSv for radioactivity logging workers in industrial applications was the highest, with statistically significant differences among different occupational radiation workers ( H=448.07, P<0. 001). The average annual effective dose to radiation workers in medical applications was higher than in industrial applications ( Z = -14.93, P<0.001). Conclusions:The average annual effective dose to nuclear medicine radiation workers in medical applications and logging radiation workers in industrial applications are relatively high. There would be a push to furthe improve workplace protection measures and strengthen the management and supervision of radiological workers.