Background Health literacy is closely related to mental health, and improving health literacy has been shown to promote mental well-being. However, whether occupational stress among workers in mining and manufacturing is associated with their occupational health literacy remains inconclusive. Objective To study the levels of occupational health literacy and occupational stress among workers in three industrial sectors (metal ores mining, metal smelting, and manufacture of non-metallic mineral products) in Gansu Province, and to analyze the correlation between them. Methods Between May and December 2024, a stratified cluster random sampling method was employed to survey workers from 73 large, medium, and small and micro sized enterprises across the aforementioned industries in Gansu Province. Participants’ occupational health literacy and occupational stress levels were assessed. The LASSO regression model was applied to identifykey factors influencing occupational stress, and subsequently a multilevel random intercept mixed-effects logistic model was used to study factors influencing occupational stress and to explore the relationship between occupational health literacy and occupational stress. Results A total of 3611 workers across the three industries were surveyed, among whom 1031 (28.55%) experienced occupational stress. Workers with adequate occupational health literacy—whether assessed in terms of overall literacy or specific dimensions—demonstrated a significantly lower prevalence of occupational stress compared to those without adequate literacy (P<0.05). Through the LASSO regression analysis, it was found that the factors closely related to occupational stress were dimension one (occupational health legal knowledge), dimension two (basic knowledge of occupational health protection), and dimension four (healthy working methods and behaviors) of occupational health literacy, gender, average monthly income, and night shifts. The results from the three-level random intercept mixed-effects logistic regression model indicated that dimensions one (OR=0.69, 95%CI: 0.58, 0.82), two (OR=0.71, 95%CI: 0.58, 0.87), and four (OR=0.81, 95%CI: 0.67, 0.98) of occupational health literacy were negatively correlated with the risk of occupational stress. Workers with an average monthly income of 3001–≤5000, 5001–≤7000, and ≥7001 yuan reported occupational stress risks that were 61% (OR=0.61, 95%CI: 0.45, 0.81), 56% (OR=0.56, 95%CI: 0.41, 0.78), and 36% (OR=0.36, 95%CI: 0.24, 0.53) of those with an average monthly income ≤3000 yuan, respectively. Male workers (OR=1.66, 95%CI: 1.32, 2.10) and those on night shifts (OR=2.29, 95%CI: 1.90, 2.76) had a higher risk of occupational stress. The random effects variance showed that the intraclass correlation coefficient was 0.12. Conclusion There is a negative correlation between occupational stress and occupational health literacy among workers in mining and manufacturing. Being male, having a low income, and working night shifts are risk factors affecting workers' occupational stress. It is recommended to focus on these groups of workers and incorporate occupational health literacy into workplace mental health promotion.

Background Due to the unique working environment and numerous occupational disease hazards, workers in mining industry are particularly susceptible to psychological problems such as occupational stress. Objective To understand the current status of occupational stress, depressive symptoms, anxiety symptoms and sleep quality of workers in ferrous and non-ferrous metal mining industry in Gansu Province, and to explore the effects of occupational stress on depressive symptoms, anxiety symptoms, and sleep. Methods From April to December 2022, the workers of 25 large, medium, and small and micro enterprises were selected by stratified cluster random sampling and surveyed in ferrous and non-ferrous metal mining industry in Gansu Province. The Occupational Health Literacy Questionnaire of National Key Population, Core Occupational Stress Scale, Patient Health Questionnaire-q, Generalized Anxiety Disorder, and Self-administer Sleep Questionnaire were used to collect basic information, occupational stress, depressive symptoms, anxiety symptoms, and sleep quality of the workers. Chi-square test was used to compare occupational stress, depressive symptoms, anxiety symptoms and sleep disorders among different categories. Logistic regression model was used to study the effects of occupational stress on depressive symptoms, anxiety symptoms, and sleep quality. Results In this study, 2192 workers in mining industry were surveyed, of which 2087 returned valid questionnaires, and the recovery rate of valid questionnaires was 95.2%. Among them, 728 (38.4%) reported occupational stress. There were statistically significant differences in the positive rate of occupational stress among workers by gender, age, marital status, education level, average monthly income, length of service, enterprise size, and night shifts (P<0.001). The positive rates of depressive symptoms, anxiety symptoms, and sleep disorders in the mining industry workers were 85.6%, 49.8%, and 47.3%, respectively. The positive rates of depressive symptoms, anxiety symptoms, and sleep disorders among workers with higher occupational stress were higher than those among workers without occupational stress (P<0.001). The logistic regression analysis showed that occupational stress was a common risk factor for depressive symptoms (OR=3.29, 95%CI: 2.26, 4.79), anxiety symptoms (OR=2.87, 95%CI: 2.33, 3.53), and sleep disorder (OR=1.78, 95%CI: 1.46, 2.16). In addition, length of service and enterprise-scale were also risk factors for depressive symptoms, anxiety symptoms, and sleep disorders. In the 5−<10 and 10−<20 years of service groups, the risks of reporting depressive symptoms were 1.80 (95%CI: 1.18, 2.74) and 1.73 (95%CI: 1.10, 2.71) times higher than that of workers with less than 1 year of service, respectively; the risks of reporting anxiety symptoms were 1.98 (95%CI: 1.42, 2.76) and 2.11 (95%CI: 1.48, 3.01) times higher than that with less than 1 year of service, respectively; the risks of reporting sleep disorders were 1.58 (95%CI: 1.15, 2.16) and 1.78 (95%CI: 1.29, 2.45) times higher than that with less than 1 year of service, respectively. Workers in large enterprises were inclined to report more depressive symptoms, anxiety symptoms, and sleep disturbances than those in micro and small enterprises (OR=3.53, 95%CI: 2.41, 5.16; OR=2.49, 95%CI: 1.98, 3.13; OR=2.10, 95%CI: 1.67, 2.62). Conclusion The occupational stress level of mining industry workers in Gansu Province is high, and reporting occupational stress, 5−<10 and 10−<20 working age groups, and large enterprises are important risk factors affecting workers' mental health and sleep. It is necessary to increase the attention and develop intervention programs for mental health of miners in the working age group of 5−20 years old and in large enterprises.

Objective:To examine the regulatory effects of a potential antifibrotic tetrapeptide called N-acetyl-seryl-aspartyl-lysyl-proline (Ac-SDKP) on the expression of epidermal growth factor (EGFR) and signal transducer and activator of transcription 3 (STAT3) in lung tissues with fibrosis induced by silicosis in rats. This study aims to explore the potential therapeutic benefits of Ac-SDKP in the prevention and treatment of fibrotic lung diseases associated with silicosis.Methods:In January 2024, disease targets and Ac-SDKP active ingredients were predicted through GeneCards (https://www.genecards.org) and OMIM (https://www.omim.org) databases. Using R 4.2.1 software, we identified overlapping targets between pulmonary fibrosis and AC-SDKP. Cytoscape 3.10.2 was employed to visualize interactions between active chemical components and these targets, followed by GO enrichment analysis and KEGG pathway analysis using R 4.2.1. Forty healthy adult Wistar rats were selected to establish silicosis models through single-dose gavage with 50 mg/ml silica suspension (1. 0 ml per rat). The rats were randomly divided into four groups: model control group (4 weeks), silicosis model group (4 weeks), Ac-SDKP preventive treatment group (acquired via intraperitoneal injection of a micro-release pump containing Ac-SDKP [800 μg/ (kg·d) ] during modeling, maintained for 4 weeks), and Ac-SDKP anti-fibrosis treatment group (acquired via intraperitoneal injection of the same pump after 2 weeks of modeling, continued maintenance for 2 weeks). Each group contained 10 rats. The pathological changes in rat lung tissues were observed. Western blot technology was used to detect the protein expression levels of α-smooth muscle actin (α-SMA), epidermal growth factor receptor (EGFR), signal transduction and activation transcription factor 3 (STAT 3), caspase 3, and caspase 8 in lung tissues. Immunohistochemical techniques were employed to assess the expressions of EGFR, STAT3, caspase 3, and caspase 8. Overall differences between groups were compared using one-way ANOVA.Results:Compared with the control group in the silicosis model, rats in the 4-week group exhibited significant fibrotic nodules. The lung tissues of these rats showed statistically significant increases in α-SMA, EGFR, STAT 3, Caspase 3, and Caspase 8 protein expression ( P<0.05). In contrast, the Ac-SDKP prevention and anti-fibrosis treatment group demonstrated markedly reduced expression levels of these proteins compared to the 4-week silicosis model group, with statistically significant differences ( P<0.05). Immunohistochemical staining revealed that brownish-yellow expression of EGFR, STAT3, Caspase3, and Caspase8 was significantly enhanced in silicotic nodules within the silicosis model group. Conversely, this brownish-yellow expression was notably decreased in the Ac-SDKP prevention and anti-fibrosis treatment group compared to the 4-week silicosis model group. Conclusion:Ac-SDKP may exert antifibrotic effects on the lungs of rats with silicosis by regulating the EGFR/STAT3 pathway.

Objective To explore the medication patterns of the"phlegm-stasis co-treatment"in the treatment of stroke and the regulatory mechanisms of its key components.Methods The relevant literature on the treatment of stroke with intertwined phlegm and blood stasis pattern by traditional Chinese medicine in CNKI,Wanfang Data Knowledge Service Platform and VIP was collected.Excel 2019 and SPSS Modeler 18.0 were applied to statistically analyze the nature,taste,meridian tropism and frequency of the drugs included in the prescriptions.The Apriori algorithm was used to perform association rule analysis and cluster analysis.The potential mechanism of action of the core drug pair was explored by using the network pharmacology method.Results A total of 69 prescriptions involving 161 herbs with 902 cumulative frequency uses were included.The four natures were mainly warm,neutral and cold,the five flavors were mainly bitter,sweet and pungent.and channel tropism were mainly liver meridian and spleen meridian.The analysis of association rules indicates that there was a strong correlation among chuanxiong,Taoren,Dannanxing,Dilong,Honghua,Shichangpu and Fuling.The main active components of the drug combination were quercetin,gallic acid,baicalein and hederagenin.They can regulate signaling pathways such as hypoxia-inducible factor-1,advanced glycation end product/advanced glycation end product receptor,nuclear factor κB,and mixed lineage kinase 3 by acting on genes such as STAT3,SRC,JUN,TP53,and MAPK1.Conclusion The core drugs of"phlegm-stasis co-treatment"method can act on multiple targets and pathways through components such as quercetin,gallic acid,baicalein and hederagenin,thereby exerting a therapeutic effect on stroke.

Objective:To investigate the level of occupational health literacy (OHL) of key populations in Gansu Province in 2022, analyze the influencing factors, and provide a scientific basis for the formulation of health education measures for occupational populations.Methods:From April to December 2022, a stratified cluster random sampling method was adopted to select 11472 workers engaged in frontline jobs in 8 key industries across 86 counties and districts in Gansu Province as the research subjects. The "National Occupational Health Literacy Monitoring and Survey Personal Questionnaire" was used to investigate their OHL. The content includes basic demographic information and occupational health literacy level, and the chi-square test analysis was carried out by SPSS 23.0 software, and the influencing factors were analyzed by logistic regression analysis model.Results:In 2022, a total of 11 118 valid questionnaires were completed in Gansu Province, and the OHL level of key populations in Gansu Province was 48.3%. The OHL levels of occupational health legal knowledge, basic knowledge of occupational health protection, basic skills of occupational health protection and healthy working methods were 50.3%, 81.7%, 33.1% and 63.3%, respectively. In the eight key industries, the OHL level of workers from high to low is: ferrous and non-ferrous metal smelting and rolling processing industry (56.6%) , non-metallic mineral products industry (56.5%) , ferrous and non-ferrous metal mining and dressing industry (54.3%) , environmental sanitation industry (50.3%) , medical and health industry (49.9%) , education industry (40.9%) , transportation industry (40.4%) , and express delivery/takeaway delivery industry (23.3%) . The results of logistics regression analysis showed that gender, age, ethnicity, marital status, education level, average monthly income, nature and scale of employers, and length of service were the influencing factors of OHL level of front-line workers in eight industries in Gansu Province (all P<0.05) . Conclusion:In 2022, the OHL level of key populations in Gansu Province was 48.3%, which needs to be further improved. Occupational health publicity should be strengthened for low-income, low-educated, newly recruited, young and micro-enterprise occupational groups.

Objective:To investigate the current status of postoperative Day 1 ambulation in patients undergoing posterior lumbar interbody fusion (PLIF) surgery under an enhanced recovery after surgery (ERAS) protocol, analyze the influencing factors of successful ambulation on postoperative Day 1, and explore the impact of early ambulation on postoperative recovery.Methods:Data from 397 patients who underwent PLIF surgery at Beijing Jishuitan Hospital, Capital Medical University, from September 2023 to July 2024 were retrospectively collected. Patients were divided into two groups based on whether they successfully ambulated on postoperative Day 1: the successful ambulation on Day 1 group and the delayed ambulation group. Binary Logistic regression was used to analyze the factors influencing successful ambulation on postoperative Day 1. Postoperative recovery indicators, including catheter removal time, hospital length of stay, drainage volume on postoperative Day 3, and pain scores for the low back and legs, were compared between the two groups.Results:A total of 378 patients were included in the analysis. Among them, 316 patients (83.6%) successfully ambulated on postoperative Day 1, while 62 patients (16.4%) had delayed ambulation. Logistic regression analysis indicated that postoperative Day 1 hemoglobin classification and pre-ambulation low back pain score in the supine position were independent factors influencing successful ambulation on Day 1 ( P<0.05). The successful ambulation group had a shorter catheter removal time and hospital stay compared to the delayed ambulation group, with statistically significant differences ( P<0.05). There were no significant differences between the two groups in postoperative drainage volume, low back pain scores, leg pain scores, or Oswestry Disability Index scores before discharge (all P>0.05) . Conclusions:Postoperative Day 1 hemoglobin levels and pre-ambulation low back pain scores are independent factors influencing the success of ambulation on postoperative Day 1 in patients undergoing PLIF surgery. Early ambulation on postoperative Day 1 helps reduce catheter removal time and length of hospital stay without increasing postoperative drainage or pain levels.

Objective To compare regression models for age estimation constructed based on the Pulp Dentinal Index(PDI)of the first permanent molars and explore a more accurate and applicable novel method.Methods A total of 900 Cone Beam Computed Tomography(CBCT)image datasets from adult Han Chinese individuals(455 males and 445 females)residing in Sichuan province,China,were collected from the Affiliated Hospital of North Sichuan Medical College.The PDI of the first permanent molars were measured using Mimics software.Regression analysis was performed with age as the dependent variable and PDI as the independent variable to establish and validate the optimal mathematical model for age estimation.Results Strong correlations were observed between the PDI of all four first permanent molars and age,with the correlation being stronger for maxillary teeth compared to mandibular teeth,and the highest correlation found in the left maxillary first molar among females(r=0.881).Significant differences in PDI were identified between maxillary and mandibular positions as well as between genders(P＜0.05),but not between left and right positions(P＞0.05).Among the 11 mathematical models constructed,the cubic regression model outperformed others,with the left maxillary first molar model demonstrating the best performance(Age=73.93-70.79x-68.75x2+94.33x3),yielding a mean absolute error(MAE)of 4.88 years.Conclusion Among the 11 regression models constructed in this study based on CBCT-measured PDI values of the first permanent molars,the cubic regression model exhibited the highest accuracy,with an MAE of 4.88 years.

Objective To compare regression models for age estimation constructed based on the Pulp Dentinal Index(PDI)of the first permanent molars and explore a more accurate and applicable novel method.Methods A total of 900 Cone Beam Computed Tomography(CBCT)image datasets from adult Han Chinese individuals(455 males and 445 females)residing in Sichuan province,China,were collected from the Affiliated Hospital of North Sichuan Medical College.The PDI of the first permanent molars were measured using Mimics software.Regression analysis was performed with age as the dependent variable and PDI as the independent variable to establish and validate the optimal mathematical model for age estimation.Results Strong correlations were observed between the PDI of all four first permanent molars and age,with the correlation being stronger for maxillary teeth compared to mandibular teeth,and the highest correlation found in the left maxillary first molar among females(r=0.881).Significant differences in PDI were identified between maxillary and mandibular positions as well as between genders(P＜0.05),but not between left and right positions(P＞0.05).Among the 11 mathematical models constructed,the cubic regression model outperformed others,with the left maxillary first molar model demonstrating the best performance(Age=73.93-70.79x-68.75x2+94.33x3),yielding a mean absolute error(MAE)of 4.88 years.Conclusion Among the 11 regression models constructed in this study based on CBCT-measured PDI values of the first permanent molars,the cubic regression model exhibited the highest accuracy,with an MAE of 4.88 years.

Spotted fever group Rickettsia(SFGR)are gram-negative,obligate intracellular pathogens that cause spotted fever rickettsiosis,a zoonotic disease.SFGR invade host cells through the expression of outer membrane proteins and Anaplasma-derived proteins.Then they use virulence factors,including phospholipases and cell surface antigens,to evade or suppress host immune de-fenses,thereby facilitating host colonization and intercellular dissemination,and exerting pathogenic effects.This review summarizes current research progress in various SFGR virulence factors,to further elucidate the pathogenic mechanisms of spotted fever rickettsio-sis,and provide a reference for the prevention and treatment of this disease.

Objective:To examine the regulatory effects of a potential antifibrotic tetrapeptide called N-acetyl-seryl-aspartyl-lysyl-proline (Ac-SDKP) on the expression of epidermal growth factor (EGFR) and signal transducer and activator of transcription 3 (STAT3) in lung tissues with fibrosis induced by silicosis in rats. This study aims to explore the potential therapeutic benefits of Ac-SDKP in the prevention and treatment of fibrotic lung diseases associated with silicosis.Methods:In January 2024, disease targets and Ac-SDKP active ingredients were predicted through GeneCards (https://www.genecards.org) and OMIM (https://www.omim.org) databases. Using R 4.2.1 software, we identified overlapping targets between pulmonary fibrosis and AC-SDKP. Cytoscape 3.10.2 was employed to visualize interactions between active chemical components and these targets, followed by GO enrichment analysis and KEGG pathway analysis using R 4.2.1. Forty healthy adult Wistar rats were selected to establish silicosis models through single-dose gavage with 50 mg/ml silica suspension (1. 0 ml per rat). The rats were randomly divided into four groups: model control group (4 weeks), silicosis model group (4 weeks), Ac-SDKP preventive treatment group (acquired via intraperitoneal injection of a micro-release pump containing Ac-SDKP [800 μg/ (kg·d) ] during modeling, maintained for 4 weeks), and Ac-SDKP anti-fibrosis treatment group (acquired via intraperitoneal injection of the same pump after 2 weeks of modeling, continued maintenance for 2 weeks). Each group contained 10 rats. The pathological changes in rat lung tissues were observed. Western blot technology was used to detect the protein expression levels of α-smooth muscle actin (α-SMA), epidermal growth factor receptor (EGFR), signal transduction and activation transcription factor 3 (STAT 3), caspase 3, and caspase 8 in lung tissues. Immunohistochemical techniques were employed to assess the expressions of EGFR, STAT3, caspase 3, and caspase 8. Overall differences between groups were compared using one-way ANOVA.Results:Compared with the control group in the silicosis model, rats in the 4-week group exhibited significant fibrotic nodules. The lung tissues of these rats showed statistically significant increases in α-SMA, EGFR, STAT 3, Caspase 3, and Caspase 8 protein expression ( P<0.05). In contrast, the Ac-SDKP prevention and anti-fibrosis treatment group demonstrated markedly reduced expression levels of these proteins compared to the 4-week silicosis model group, with statistically significant differences ( P<0.05). Immunohistochemical staining revealed that brownish-yellow expression of EGFR, STAT3, Caspase3, and Caspase8 was significantly enhanced in silicotic nodules within the silicosis model group. Conversely, this brownish-yellow expression was notably decreased in the Ac-SDKP prevention and anti-fibrosis treatment group compared to the 4-week silicosis model group. Conclusion:Ac-SDKP may exert antifibrotic effects on the lungs of rats with silicosis by regulating the EGFR/STAT3 pathway.