Background Long working hours, as a common risk factor for occupational stress, is closely related to the occurrence of depressive symptoms. Understanding how long working hours affect occupational stress and depressive symptoms will inform occupational health interventions. Objective To quantify the impact of long working hours exposure on occupational stress and depressive symptoms among Internet industry employees, translate black-box outputs into actionable insights, and demonstrate the value of interpretable machine learning for early-warning occupational-health surveillance. Methods A dataset was derived from a cross-sectional survey involving 2866 internet industry employees in China. This survey was part of the project Risk Assessment Of Long Working Hour Exposure And Its Adverse Health Effects, conducted by the National Institute for Occupational Health and Poisoning Control, Chinese Center for Disease Control and Prevention, from 2021 to 2023. Working hours, occupational stress and depressive symptoms were quantified with a set of structured questionnaires including the Core Occupational Stress Scale and the Patient Health Questionnaire. Pairwise associations were screened by Mantel tests and variance-inflation factors. Key predictors identified through feature selection were fed into six machine-learning risk-prediction models. Visual interpretation was provided by feature importance, Shapley additive explanations (SHAP) and local interpretable model-agnostic explanations (LIME), while directed causal effects and intervention impacts of prolonged working hours exposure on occupational stress and depressive symptoms were dissected with causal explanation of features techniques. Results The positive rates of occupational stress and depressive symptoms among internet employees were 12.9% and 77.8% respectively. Twelve core features for occupational stress and nine for depressive symptoms were retained after selection. After these features were supplied to six predictive algorithms and evaluated on five metrics, the Light Gradient Boosting Machine (LGBM) achieved the highest accuracy—0.89 for occupational stress and 0.79 for depressive symptoms on the hold-out test set. The feature-importance rankings converged on fatigue accumulation and life satisfaction as dominant drivers for both outcomes, whereas weekly working hours and daily overtime emerged as the principal exposure-related predictors. The SHAP summary plots revealed that longer weekly hours and daily overtime systematically elevated the probability of occupational stress. The causal feature explanation further quantified that ascending one category in weekly working hours increased the probability of occupational stress by 7.04%. Conclusion Exposure to long working hours is associated with both occupational stress and depressive symptoms among internet industry employees. Interpretable machine-learning frameworks translate these associations into transparent, defensible drivers, enabling precise identification of the pivotal factors and their interplay. This evidence base equips occupational-health practitioners with actionable insights for designing targeted prevention and intervention strategies.

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.

ObjectiveTo improve the quality and service performance of community visual health services in Shanghai, and to establish a set of reasonable and effective evaluation index system for community visual health services. MethodsCentered on the national and Shanghai-based visual health policies and based on the current status and development trends of community visual health service program in Shanghai, the candidate indicators were formed through literature review and expert interviews, firstly. The framework of an evaluation index system was formulated through qualitative research successively, which was further revised and perfected using the Delphi method. Coefficient weights were calculated using the analytic hierarchy process (AHP), culminating in the establishment of the community visual health evaluation index system, lastly. ResultsA total of 22 visual health experts from district-level center for disease control, hospital ophthalmology and leaders in charging of visual health service in community health centers participated in the Delphi questionnaire survey, with a questionnaire recovery rate of 100% and an expert authority coefficient of 0.86, indicating high credibility. After a round of correspondence to experts’ importance ratings and discussions, a comprehensive evaluation index system comprising 3 primary indicators, 12 secondary indicators, and 47 tertiary indicators, along with 5 additional indicators, was finalized. ConclusionAn index system tailored to effective evaluation for community visual health initiatives was drawn up in this study, which can promote the capacity building in community eye health services, facilitating the high-quality development of visual health courses, and enhancing residents’ eye health.

Objective To investigate the effects of composite nanoparticles E/Ce@MCSNs loaded with epigallocatechin-3-gallate(EGCG)and cerium dioxide(CeO2)on the odonto/osteogenic differentiation of human stem cells from the apical papilla(SCAPs)and macrophage polarization under inflammatory conditions.Methods E/Ce@MCSNs were synthesized and characterized.Cell viabil-ity of SCAPs and RAW 264.7 cells treated with varying concentrations of E/Ce@MCSNs was assessed via CCK-8 assay.The antioxidant enzyme-mimetic activity of E/Ce@MCSNs was evaluated.Under simulated inflammatory conditions,intracellular reactive oxygen species(ROS)scavenging capacity was measured via DCFH-DA fluorescent probe.Alkaline phosphatase(ALP)staining/activity,alizarin red staining/semi-quantitative analysis,and RT-qPCR were performed to detect odonto/osteogenic differentiation markers,in-cluding dentin sialoprotein(DSPP),ALP,runt-related transcription factor 2(Runx-2),type Ⅰ collagen(COL-Ⅰ),and osteopontin(OPN)in SCAPs.The effects of E/Ce@MCSNs on the odontogenic/osteogenic differentiation of SCAPs under this condition were eval-uated.RT-qPCR were used to analyze cytokine expression(TNF-α,IL-1β,IL-6,iNOS,TGF-β,IL-10)and secreted TNF-α/IL-6 levels in RAW264.7 cells.The concentrations of TNF-α and IL-6 in cell cul-ture supernatants were measured by ELISA.Results E/Ce@MCSNs exhibited excellent biocompatibility at concentrations≤100 μg/mL.They demonstrated potent ROS-scavenging activity(P＜0.05)and sig-nificantly enhanced ALP activity(P＜0.001),promoted calcium nodule formation(P＜0.001),and upregulated odonto/osteogenic gene expression(DSPP,ALP,Runx-2,COL-Ⅰ,OPN)in SCAPs under inflammatory conditions(P＜0.05).In RAW264.7 cells,E/Ce@MCSNs downregulated pro-inflammatory cytokines(TNF-α,IL-1 β,IL-6,iNOS)(P＜0.01)and upregulated anti-inflammatory factors(TGF-β,IL-10)(P＜0.001),while reducing TNF-α and IL-6 secretion(P＜0.001).Conclusion E/Ce@MCSNs exert antioxidant and anti-inflammatory effects in apical periodontitis by scavenging excessive ROS,thereby promoting odonto/osteogenic differentiation of SCAPs.

Objective To investigate the correlation between Traditional Chinese Medicine(TCM)constitution types and disease progression in elderly patients with hypertension complicated by heart failure(HF).Methods A total of 200 eligible elderly patients treated in our hospital from June 2021 to June 2023 were recruited,and based on TCM constitution types,they were classified as balanced constitution(n=20,10.0％),qi-deficiency(n=35,17.5％),yang-deficiency(n=30,15.0％),yin-deficiency(n=21,10.5％),phlegm-dampness(n=35,17.5％),damp-heat(n=16,8.0％),blood-stasis(n=25,12.5％),qi-stagnation(n=11,5.5％),and inherited special constitu-tion(n=7,3.5％).TCM constitution,blood pressure,and cardiac function indicators were as-sessed.All patients were followed up for 1 year,and acute exacerbations was recorded to analyze disease progression.Blood pressure,cardiac function indicators,and acute exacerbation frequency were compared among different TCM constitution types,and Spearman correlation analysis was used to assess the relationship between TCM constitution types and the frequency of acute exacer-bations.Results Significant differences were observed in SBP,DBP and frequency of acute exacer-bations among elderly hypertension patients with HF having different TCM constitution types(P＜0.01).The patients with a phlegm-dampness constitution had obviously higher SBP,DBP,mean arterial pressure,stroke volume,central venous pressure and frequency of acute exacerba-tions than those with other constitution types,while the patients with a balanced constitution had the notably highest left ventricular ejection fraction(P＜0.01).Spearman correlation analysis showed that balanced,phlegm-dampness,and blood-stasis constitutions were positively correlated with the frequency of acute exacerbations in these patients(r=0.480,r=0.375,r=0.295,P＜0.01),whereas qi-deficiency constitution was negatively correlated(r=-0.235,P＜0.01).Conclusion Elderly patients with hypertension and HF are predominantly of the qi-deficiency,phlegm-dampness,and yang-deficiency constitution types.Among them,the patients with phlegm-dampness constitution exhibit notably higher blood pressure and cardiac function indicators.TCM constitution types such as balanced and phlegm-dampness are closely related to disease progres-sion in these patients.

Objective:To evaluate the efficacy of corticosteroids in male children with Duchenne muscular dystrophy (DMD), and provide evidence for the rational clinical use of medication.Methods:This was a multicenter medical record series study which conducted from January 15 th to March 14 th, 2025. A total of 53 male children with DMD admitted to the Department of Rehabilitation of Children′s Hospital, Zhejiang University School of Medicine, Children′s Hospital of Chongqing Medical University and Affiliated Children′s Hospital of Soochow University from 2020 to 2024 were enrolled. Clinical data, corticosteroid usage, and the follow-up data were collected. The North star ambulatory assessment (NSAA) was used as the primary efficacy indicator. Generalized estimating equations (GEE) exchangeable working matrices were used for longitudinal analysis, and the least squares mean were used to compare the change trend of the efficacy evaluation index across different medication durations. Results:The age at the initiation of corticosteroid treatment was (6.3±1.9) years. The follow-up duration was 1.2 (0.9, 2.2) years. After treatment, the raw scores and linear scores of NSAA were both significantly higher than those before treatment ((22±7) vs. (19±5) points, (60±16) vs. (53±8) points; t=3.98, 3.69; both P<0.001). The 10 meter running time and time rising from floor were both shorter than those before treatment (6 (4, 8) vs. 7 (6, 9) s, 5 (3, 6) vs. 6 (5, 9) s; Z=2.62, 3.47; both P<0.01). GEE model analysis revealed all nonlinear correlation between motor function (NSAA linear score, 10-meter running velocity, and rising from floor velocity) and the duration of corticosteroid treatment (all P<0.05). Least squares mean comparison all showed that the medication effect first increased and then decreased with duration, reaching the peak at 1.1-2.0 years after treatment (all P<0.05). Conclusions:Corticosteroids can improve the motor function in male children with DMD, with the maximum treatment effect occurring 1 to 2 years after the initiation of treatment. It is necessary to comprehensively leverage time-varying efficacy of corticosteroids to optimize individualized treatment regimens for maximal motor function benefits in children with DMD.

Objective:To investigate the mediating effects of medical inquiry ability and attitudes toward aging on the relationship between socioeconomic status and mental health among the elderly.Methods:Utilizing data from the 2021 China General Social Survey(CGSS), a sample of 957 individuals aged 60 years and older was selected for analysis.The influence of each variable was assessed through regression analysis, and the mediating effects were evaluated using the Bootstrap method.Results:The study samples ranged in age from 60 to 95 years, including 479 females and 478 males.Socioeconomic status significantly positively influenced mental health( β=0.208, P<0.001).Additionally, socioeconomic status had a notable positive effect on medical inquiry ability( β=0.244, P<0.001)and attitudes toward aging( β=0.163, P<0.001)among the elderly population.Furthermore, medical inquiry ability positively affected both attitudes toward aging( β=0.158, P<0.001)and mental health( β=0.139, P<0.001).The attitude toward aging also had a significant positive impact on mental health( β=0.216, P<0.001).Notably, both medical inquiry ability and attitudes toward aging served as significant mediators between socioeconomic status and mental health in the elderly, with a total indirect effect value of 0.091(95% CI: 0.063-0.123).The chain mediating effect of medical inquiry ability and pension mentality was also significant, with an effect size of 0.010(95% CI: 0.005-0.017). Conclusions:Enhancing the socioeconomic status of older adults can foster their medical inquiry ability, positively influence their attitudes toward aging, and ultimately contribute to the promotion of their mental health.

Objective To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application.Methods and Results Recommendations were formulated based on literature review and expert group discussion,and consensus was reached following expert consultation.The consensus recommendations are comprehensive,covering the entire treatment procedures from preoperative assessment and preparation,surgical operation process,postoperative management and traditional Chinese medicine treatment to individualized treatment planning.The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain,reduced the use of opioid drugs,and significantly improved the quality of life and enhanced immune function of the patients.Postoperative follow-up suggested good treatment tolerance among the patients without serious complications.Conclusion The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy.The combined treatment has a high clinical value with a good safety profile for management of cancer pain.

OBJECTIVES: To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application. Methods and. RESULTS: Recommendations were formulated based on literature review and expert group discussion, and consensus was reached following expert consultation. The consensus recommendations are comprehensive, covering the entire treatment procedures from preoperative assessment and preparation, surgical operation process, postoperative management and traditional Chinese medicine treatment to individualized treatment planning. The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain, reduced the use of opioid drugs, and significantly improved the quality of life and enhanced immune function of the patients. Postoperative follow-up suggested good treatment tolerance among the patients without serious complications. CONCLUSIONS The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy. The combined treatment has a high clinical value with a good safety profile for management of cancer pain.
Humans ; Medicine, Chinese Traditional ; Cancer Pain/therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Drug Delivery Systems ; Pain Management/methods* ; China

Objective To map the super-enhancers remodeling of intestinal gastric cancer and reveal the tumor biological functions of the super-enhancers and the downstream target genes that may be activated.Methods A total of 31 normal gastric mucosal tissues,23 intestinal gastric cancer tissues and 9 intestinal gastric cancer organoids were collected from the Department of Gastroenterology of Army Medical Center of PLA from January to December 2022.Chromatin targeting histone H3K27ac modified chromatin targeting cleavage under targets and tagmentation(CUT&Tag)sequencing was conducted on above tissues.The remodeling profiles of super-enhancers in intestinal gastric cancer were analyzed and the key target genes were identified based on bioinformation tools.CRISPRi technology was used to intervene with the super-enhancers,the expression of target genes was detected with Western blotting,and the proliferation,migration and invasion abilities were detected by CCK-8 assay and Transwell chambers in the control group and the intervention group.Results There was a significant difference in the signal of super-enhancers between intestinal gastric cancer tissues and normal gastric mucosal tissues(P<0.05),and the active super-enhancers in cancer tissues may be involved in biological processes such as negative regulation of the immune system and cell adhesion.The expression of up-regulated cell migration-inducing protein(CEMIP)in tumor cells was regulated by the super-enhancers,and intervening the super-enhancers down-regulated the expression of CEMIP(P<0.05),and inhibited the cell proliferation,invasion and migration abilities of tumor cells(P<0.05).Conclusion Super-enhancer remodeling is observed in intestinal gastric cancer,and they can up-regulate the expression of CEMIP gene and promote the growth,migration and invasion of cancer cells.