Huanglian Jiedutang （HLJDT）， as a classical formula for clearing heat and removing toxins， has been widely applied in the treatment of various clinical diseases in recent years， particularly during the fire-heat stage of stroke， where it has attracted considerable attention. Based on previous studies， this paper systematically elaborates on the research progress on the active components of HLJDT， its clinical application in ischemic stroke， and advances in studies on its mechanisms of action. Modern pharmacological studies have demonstrated that HLJDT contains multiple active components， including baicalin， geniposide， and berberine. In the treatment of ischemic stroke， these components exert therapeutic effects through multi-target， multi-pathway， and multi-level mechanisms. Clinical studies have shown that HLJDT can increase cerebral blood flow， reduce cerebral infarct volume， and improve post-stroke physical dysfunction in patients with ischemic stroke. Experimental studies have indicated that HLJDT can improve neurological function scores and increase cerebral perfusion in experimental stroke models. In addition， the mechanisms underlying the anti-ischemic stroke effects of HLJDT may be related to anti-inflammatory and antioxidant activities， promotion of angiogenesis， and regulation of amino acid and energy metabolism. Although existing studies have confirmed that HLJDT exhibits multi-target and multi-pathway synergistic therapeutic characteristics， further large-sample randomized controlled trials are still needed to verify its long-term efficacy and to further elucidate the dynamic interaction network among components， targets， and pathways. Combined with network pharmacology and molecular docking analyses， this study further clarifies the synergistic targets of the core components （berberine， baicalin， and geniposide）， providing a theoretical basis for in-depth research and clinical translation of HLJDT in the treatment of ischemic stroke.

Background Long working hours are a risk factor for occupational health, particularly in labor-intensive sectors such as manufacturing. Prolonged working hours may have adverse effects on the sleep and mental health of employees. Objective To investigate the impact of long working hours on insomnia, anxiety, and depression symptoms among manufacturing industry employees and provide scientific evidence for relevant occupational health interventions. Methods A cross-sectional study was conducted involving 1524 employees from eight manufacturing enterprises in Shenzhen. Data were collected using a structured questionnaire, which included demographic characteristics, work conditions (e.g., years of employment, job type, shift work, night shifts, weekly working hours), personal behaviors (e.g., smoking and drinking habits), and the occurrence of insomnia (by the Athens Insomnia Scale), anxiety (by the Generalized Anxiety Disorder Scale), and depression (by the Patient Health Questionnaire). Participants were classified into two groups based on working hours: long working hours (≥55 h per week) and normal working hours (35-40 h per week). Binary logistic regression was used to analyze the association between long working hours and the occurrences of insomnia, anxiety, and depression symptoms. Results A total of 1491 manufacturing industry employees were included in the study (response rate: 97.8%). The sample consisted of 54.19% males and 45.81% females, with the largest proportion was those aged 40-49 years (45.48%). The proportion of workers with long working hours in the total population was 31.52%, with the highest proportion among production and technical employees (36.49%). The prevalence of insomnia, anxiety, and depression symptoms was 56.2%, 26.6%, and 23.8%, respectively in the long working hours group, significantly higher than those in the normal working hours group (P<0.05). After adjusting for potential confounders, the logistic regression analysis showed that long working hours were significantly associated with increased risks of insomnia (OR=2.16, 95%CI: 1.60, 2.91), anxiety (OR=1.94, 95%CI: 1.34, 2.81), and depression symptoms (OR=1.62, 95%CI: 1.11, 2.38) compared to normal working hours. Conclusion Long working hours significantly increase the risks of insomnia, anxiety, and depression symptoms among manufacturing industry employees. It is recommended that measures should be implemented to limit working hours, increase rest periods, and provide occupational health education and psychological support to improve the sleep and mental health of employees.

Against the backdrop of the global acceleration of cervical cancer elimination, China has been promoting pilot programs offering free or subsidized HPV vaccination for eligible girls. In 2022, Zhejiang Province initiated a free bivalent HPV vaccination program for eligible girls, expanding from pilot areas to the whole province. Through key measures such as effective multi-sectoral collaboration, full financial support, comprehensive health education and high-quality vaccination services, the program was successfully implemented. However, challenges were encountered during the implementation of the program, including difficulties in target population definition and HPV vaccine selection, as well as significant gap between vaccination intention and behavior. This article systematically analyzes the practices and challenges faced by Zhejiang Province, and proposes corresponding strategies and suggestions based on the best practices both domestically and internationally. It aims to provide references for the implementation of similar programs in other regions or even integrating HPV vaccine into the immunization program.

Objective To assess the impact of long working hours on sleep disorders among manufacturing workers and explore the roles of alcohol consumption and mental health factors(anxiety and depressive symptoms)in this association.Methods A cross-sectional study design was used to survey 1 336 manufacturing workers in Shenzhen.We collected the data of their demographic characteristics,work-related factors,personal behaviors,sleep disorders,and mental health status.Multivariate Logistic regression analysis was used to assess the association between long working hours and sleep disorders.Stratified analysis and mediation effect models were applied to examine the effect modification by alcohol consumption and the mediating role of mental health factors,respectively.Results Among the study samples,31.8％reported long working hours and 45.6％had sleep disorders.Multivariate Logistic regression analysis showed that long working hours significantly increased the risk of sleep disorders(adjusted OR=2.073,95％ CI:1.478-2.907,P＜0.001).Stratified analysis revealed that the association between long working hours and sleep disorders was more pronounced among alcohol consumers(adjusted OR=2.556,95％ CI:1.432-4.562,P=0.001).Mediation effect analysis showed that anxiety and depressive symptoms partially mediated the relationship between long working hours and sleep disorders,with indirect effects accounting for 25.71％ and 27.14％,respectively.Conclusion Long working hours increase the risk of sleep disorders among manufacturing workers,particularly among those who consume alcohol.Anxiety and depressive symptoms partially explain the association between long working hours and sleep disorders.

Objective To evaluate the effectiveness of implementing precise management for Da Vinci robotic surgical consumables under the Diagnosis Related Group(DRG)payment system.Methods This retrospective case-control study ana-lyzed 200 patients undergoing Da Vinci robotic lung resection surgery in a tertiary hospital:100 cases from May to June 2022 as the control group,and 100 cases from May to June 2023 with implemented precision management as the observation group.The control group did not implement the payment according to DRG,while the observers implemented payment according to DRG and optimized refined management of Da Vinci robotic surgical consumables.Hospitalization duration,intraoperative costs,and utili-zation of high-value consumables were compared between the two groups.Results No statistically significant differences(P＞0.05)were observed between the two groups in terms of gender,age,medical insurance status,operative time,or intraoperative blood loss.The observation group exhibited a significantly shorter hospitalization duration(8.29±4.13 vs.10.47±4.57 days;P＜0.05),and higher surgical costs[(11 366.81±2 504.23)RMB vs.(8 716.07.78±256.34)RMB,P＜0.05]compared with the control group.Conclusion DRG-oriented precision management optimizes resource utilization through shortened hospi-talization time and rationalizes cost allocation,and sustainable consumable consumption patterns,demonstrating effective balance between clinical quality and economic efficiency under healthcare payment reforms.

Objective To assess the impact of long working hours on sleep disorders among manufacturing workers and explore the roles of alcohol consumption and mental health factors(anxiety and depressive symptoms)in this association.Methods A cross-sectional study design was used to survey 1 336 manufacturing workers in Shenzhen.We collected the data of their demographic characteristics,work-related factors,personal behaviors,sleep disorders,and mental health status.Multivariate Logistic regression analysis was used to assess the association between long working hours and sleep disorders.Stratified analysis and mediation effect models were applied to examine the effect modification by alcohol consumption and the mediating role of mental health factors,respectively.Results Among the study samples,31.8％reported long working hours and 45.6％had sleep disorders.Multivariate Logistic regression analysis showed that long working hours significantly increased the risk of sleep disorders(adjusted OR=2.073,95％ CI:1.478-2.907,P＜0.001).Stratified analysis revealed that the association between long working hours and sleep disorders was more pronounced among alcohol consumers(adjusted OR=2.556,95％ CI:1.432-4.562,P=0.001).Mediation effect analysis showed that anxiety and depressive symptoms partially mediated the relationship between long working hours and sleep disorders,with indirect effects accounting for 25.71％ and 27.14％,respectively.Conclusion Long working hours increase the risk of sleep disorders among manufacturing workers,particularly among those who consume alcohol.Anxiety and depressive symptoms partially explain the association between long working hours and sleep disorders.

Against the backdrop of the global acceleration of cervical cancer elimination, China has been promoting pilot programs offering free or subsidized HPV vaccination for eligible girls. In 2022, Zhejiang Province initiated a free bivalent HPV vaccination program for eligible girls, expanding from pilot areas to the whole province. Through key measures such as effective multi-sectoral collaboration, full financial support, comprehensive health education and high-quality vaccination services, the program was successfully implemented. However, challenges were encountered during the implementation of the program, including difficulties in target population definition and HPV vaccine selection, as well as significant gap between vaccination intention and behavior. This article systematically analyzes the practices and challenges faced by Zhejiang Province, and proposes corresponding strategies and suggestions based on the best practices both domestically and internationally. It aims to provide references for the implementation of similar programs in other regions or even integrating HPV vaccine into the immunization program.

Objective To evaluate the effectiveness of implementing precise management for Da Vinci robotic surgical consumables under the Diagnosis Related Group(DRG)payment system.Methods This retrospective case-control study ana-lyzed 200 patients undergoing Da Vinci robotic lung resection surgery in a tertiary hospital:100 cases from May to June 2022 as the control group,and 100 cases from May to June 2023 with implemented precision management as the observation group.The control group did not implement the payment according to DRG,while the observers implemented payment according to DRG and optimized refined management of Da Vinci robotic surgical consumables.Hospitalization duration,intraoperative costs,and utili-zation of high-value consumables were compared between the two groups.Results No statistically significant differences(P＞0.05)were observed between the two groups in terms of gender,age,medical insurance status,operative time,or intraoperative blood loss.The observation group exhibited a significantly shorter hospitalization duration(8.29±4.13 vs.10.47±4.57 days;P＜0.05),and higher surgical costs[(11 366.81±2 504.23)RMB vs.(8 716.07.78±256.34)RMB,P＜0.05]compared with the control group.Conclusion DRG-oriented precision management optimizes resource utilization through shortened hospi-talization time and rationalizes cost allocation,and sustainable consumable consumption patterns,demonstrating effective balance between clinical quality and economic efficiency under healthcare payment reforms.

Objective:To explore the occurrence and influencing factors of post-burn psychological stress disorder in preschool children.Methods:This study was a multi-center cross-sectional survey. From January 2022 to February 2023, 85 preschool children (aged 1 to 6 years) with burns admitted to the Affiliated Hospital of North Sichuan Medical College, Nanchong Central Hospital, Suining Central Hospital, Guang'an People's Hospital, and Guangyuan Central Hospital who met the inclusion criteria were selected as respondents. A self-made general information questionnaire was used to investigate the children's general data including gender, age group, residential area, main caregiver and their education level, and family type, as well as the injury condition including cause of injury and burn severity. The Child Stress Disorders Checklist was used to investigate the occurrence of psychological stress disorder in children at 3 days to 1 month after injury, and the incidence rate was calculated. The children were classified according to their general data and injury condition, and the occurrence of psychological stress disorder in children at 3 days to 1 month after injury was recorded, and the influencing factors for post-burn psychological stress disorder in preschool children were screened.Results:A total of 85 questionnaires were distributed and 85 valid questionnaires were recovered, with an effective recovery rate of 100%. Among the children, there were 45 boys and 40 girls, with most children aged 1 to 3 years. There were slightly more children in rural areas than in cities. About half of the children were mainly cared for by their parents and grandparents, respectively, and the education level of the main caregivers was mainly high school/technical secondary school. The family type was mainly core family and extended family. The main cause of injury was hydrothermal scald, and the severity of burns was mainly moderate. The incidence rate of psychological stress disorder in this group of children at 3 days to 1 month after injury was 34.12% (29/85). There were statistically significant differences in the occurrence of psychological stress disorder in children with different age groups, causes of injuries, and burn severity at 3 days to 1 month after injury (with χ2 values??of 9.18, 7.80, and 25.47, respectively, P<0.05); there were no statistically significant differences in the occurrence of psychological stress disorder in children with different genders, residential area, main caregivers, main caregivers' education levels, or family types at 3 days to 1 month after injury ( P>0.05). Multivariate logistic regression analysis showed that age group and burn severity were independent influencing factors for the occurrence of psychological stress disorder in preschool children after burns (with odds ratios of 8.21 and 33.99, respectively, and 95% confidence intervals of 1.57-43.04 and 5.55-207.93, respectively, P<0.05), the older the child and the more severe the burn, the higher the possibility of the occurrence of psychological stress disorder. Conclusions:The incidence rate of psychological stress disorder is high in preschool children after burns. Age group and burn severity are independent influencing factors for the occurrence of post-burn psychological stress disorder in this type of children.

Background Affected by concentration, composition, and population tolerance of air pollutants, the relationship between air pollutants and population health has regional differences. There is still a research gap in Guiyang. Objective To explore the short-term effects of air pollutant concentrations in low-pollution areas on the outpatient volume of respiratory diseases. Methods Spearman correlation analysis was used to evaluate the correlation between air pollutants, meteorological factors, and respiratory outpatient volume from January 1, 2013 to December 31, 2020 in Guiyang City. A single pollutant distribution lag nonlinear model and a multi-pollutant interaction model were established based on Poisson distribution. A three-dimensional diagram was drawn to display the relationship between air pollutants and respiratory outpatient volume. Quantitative analysis was conducted on the attribution risk and lag effect of air pollutant concentration on outpatient volume of respiratory diseases in Guiyang City. Results The results of the single pollutant model showed that fine particulate matter (PM_2.5), nitrogen dioxide (NO₂), carbon monoxide (CO), and sulfur dioxide (SO₂) elevated the outpatient volume of respiratory diseases. The maximum relative risk (RR) and 95%CI values of PM_2.5, NO₂,CO, and SO₂ appeared on Day 2, 0, 5, and 6, respectively, which were 1.019 (1.015, 1.023), 1.146 (1.122, 1.171), 1.129 (1.116, 1.143), and 1.046(1.040, 1.052), respectively. For every quartile concentration increment of PM_2.5, NO₂, CO, or SO₂, the outpatient volume of respiratory diseases increased by 0.943% (0.111%, 1.782%), 4.050% (3.573%, 4.529%), 0.595% (0.317%, 0.874%), or 0.667% (0.235%, 1.100%), respectively. The maximum RR (95%CI) of O₃ was 1.015 (1.007, 1.023) and appeared on Day 0. The results of multi-pollutant model showed that PM_2.5, NO₂, CO, SO₂, and O₃ all elevated the outpatient volume of respiratory diseases. The maximum RR values of PM_2.5, NO₂, CO, SO₂ and O₃ appeared on Day 14, 0, 5, 7 and 0, respectively, which were 1.027 (1.021, 1.034), 1.213 (1.179, 1.248), 1.059 (1.043, 1.074), 1.016 (1.005, 1.026), and 1.024 (1.015, 1.033), respectively. Compared with the single pollutant model, the RR values of PM_2.5, NO₂, and O₃ on the outpatient volume of respiratory diseases in the multi-pollutant model showed an upward trend, while the RR values of CO and SO₂ in the multi-pollutant model showed a downward trend. Conclusion The impact of low concentrations of PM_2.5, NO₂, CO, and SO₂ on human health cannot be ignored.