Objective:To identify and evaluate the important risk factor set of anxiety and depression in occupational population, establish a risk prediction model, and provide scientific basis for making targeted mental health protection plan and promoting the mental health of workers.Methods:In August 2016, a cluster random sampling method was used to investigate 807 employees who underwent physical examination in a hospital as research objects. The simplified Chinese version of the core job content questionnaire, Athens Insomnia Scale, AIS-5 and Symptom Check List-90 (SCL-90) were used for the Occupational stress, insomnai and negative emotional symptom investigation. Chi-square and Fisher exact probability method were used for data analysis, and Bayesian network was used for model construcion and analysis.Results:The score of occupational stress was 0.88±0.15, and the incidence of occupational stress was 18.09% (146/807). AIS-5 scores were (3.03±2.82), and the incidence of insomnia was 15.99% (129/807). Depression (16.89±5.73) scores, anxiety (12.36±4.11) scores. Depression (16.89±5.73) score, anxiety (12.36±4.11) score, the detection rate was 8.55% (69/755), 7.31% (59/762). Gender, illness, education, insomnia and occupational stress were correlated with depression ( P<0.01), while education, illness, insomnia and anxiety were correlated ( P<0.05). When both occupational stress and insomnia existed, the detection rate of depression was the highest (0.4006) . Conclusion:Insomnia was a valid predictor of anxiety and depression, suggesting that occupational groups should pay attention to sleep quality and managers should rationalize work tasks in order to reduce the risk of anxiety and depression.

Objective:To explore the impact of the stimulator of interferon genes(STING)-interferon regulatory factor 3(IRF3)pathway on the senescence of rapid pacing HL-1 myocytes.Methods:HL-1 cells were divided into five groups: the control group(HL-1 cells without any treatment), pacing group(HL-1 cells paced for 48 hours), STING siRNA group(HL-1 cells paced for 48 hours and transfected with STING siRNA), NC siRNA group(HL-1 cells paced for 48 hours and transfected with NC siRNA), and H151 inhibitor group(HL-1 cells paced for 48 hours with the addition of 1 μmol/L STING inhibitor H151). Mitochondrial membrane potential was assessed in control and pacing group cells, and mitochondrial MitoTracker and TFAM co-localization staining was performed on these cells.Cellular senescence was evaluated using β-galactosidase staining in each group, and the positive rate of cellular senescence was observed and calculated.Western blotting was employed to detect the expression levels of STING, IRF3, P-IRF3, P16, P21, and P53 proteins in all groups.Immunofluorescence was utilized to examine the expression distribution of STING and P21 across the various groups.ELISA was performed to measure the concentrations of interleukin(IL)-1β, IL-6, and IL-8 in the cell supernatants from each group as part of the senescence-associated secretory phenotype(SASP).Results:Compared with the control group, the ratio of mitochondrial JC-1 multimer to monomer was significantly decreased in the pacing group( t=16.42, P<0.05), the co-localization of mitochondrial MitoTracker and TFAM in the cells was significantly weakened, the proportion of cells with positive cellular senescence-associated β-galactosidase staining significantly increased in the pacing group, the expression levels of STING, P-IRF3/IRF3, P16, P21, and P53 proteins were significantly elevated in the pacing group, and the concentrations of IL-1β, IL-6, and IL-8 in the cell supernatants were markedly increased.Compared with the pacing group, the proportion of cells with positive cellular senescence-associated β-galactosidase staining decreased in the STING siRNA group and H151 inhibitor group ( F= 18.13, P<0.05), the expression levels of STING, P-IRF3/IRF3, P16, P21, and P53 were reduced in the STING siRNA group and H151 inhibitor group ( F=16.84, 26.56, 74.70, 31.80, 31.23, all P<0.05), and the concentrations of IL-1β, IL-6, and IL-8 in the cell supernatants decreased( F=197.80、1 339.00、1 308.00, all P<0.001). Conclusions:Rapid pacing of HL-1 cells can promote mtDNA release into the cytoplasm, activate the STING-IRF3 pathway, accelerate cellular senescence, and enhance the secretion of SASP.Inhibiting the expression of STING can delay the senescence induced by the rapid pacing of HL-1 cells and reduce SASP secretion.

Objective To evaluate the image quality of abdominal dual-energy CT virtual monoenergetic imaging (VMI) in patients with early gastric cancer using titanium alloy clips and assess its effectiveness on reducing metal artifacts. Methods A retrospective study was conducted, including 31 patients with gastric cancer who underwent abdominal dual-energy CT scans with titanium clips inserted in the gastric cavity. Each scan was reconstructed into mixed images (simulated 120 kVp CT) and VMIs with energy levels ranging from 40 keV to 140 keV. Metal artifacts were quantitatively evaluated by measuring the noise values in the lesion and perigastric regions. The contrast-noise ratio (CNR) of the lesion and the corresponding liver tissue was calculated to assess the image quality. Two radiologists independently evaluated the images, considering overall quality, artifact severity, lesion conspicuity, perigastric clarity, and vascular contrast. Results Quantitative analysis revealed that metal artifacts in both the lesion and perigastric regions decreased as the energy level increased. VMIs at 80-140 keV (lesion site) and 90-140 keV (perigastric space) showed significantly fewer artifacts compared to mixed images (P＜0.05). The CNR of lesions remained stable across VMIs at 50-140 keV, while the CNR of normal liver tissue decreased significantly with increasing energy (P＜0.05). In the subjective assessment, VMIs at 80-140 keV had higher artifact scores than mixed images (P＜0.05). VMIs at 70-90 keV provided better lesion conspicuity and perigastric clarity, although vascular contrast decreased significantly with increasing energy (P＜0.05). VMIs at 70-90 keV showed better overall quality (P＜0.05), though not significantly different from mixed images. Conclusions VMIs at 80 keV and 90 keV improve the visibility of lesions and perigastric regions affected by metallic clips, which combined with mixed images can enhance radiologists’ diagnostic accuracy.

Objective:To investigate the relationship between work fit, work stress, and occupational fatigue among medical staff, and to analyze the independent and interactive effects of work fit and work stress on occupational fatigue.Methods:A stratified random sampling method was employed to select 1162 employees from two top-tier hospitals as the research subjects. A questionnaire survey was conducted to collect information on basic demographics, work stress, work fit, and occupational fatigue. Chi-square test, analysis of variance, and logistic regression equations were used to evaluate the interactive effects of work fit and work stress on occupational fatigue.Results:This study included 1162 medical Homo sapiens personnel, among whom 884 were job-adapted and 362 were in a stressful state. Univariate logistic regression analysis showed that the risk of occupational fatigue significantly increased in the 40-49 age group ( OR=1.89) and the bachelor's degree group ( OR=2.52, P<0.01). Smoking and alcohol consumption were also associated with a significantly higher risk of occupational fatigue ( P<0.01). In terms of occupational characteristics, compared to clinical doctors, nurses and pharmaceutical/technical Homo sapiens personnel had lower risks ( OR=0.57, 0.43, P<0.05). Compared to high-ranking Homo sapiens personnel, those with no title or junior titles exhibited lower risks ( OR=0.51, 0.43, P<0.05). Working hours exceeding 55 hours per week and night shifts 3-4 times per week significantly increased fatigue risk ( OR=1.94, 1.90, P<0.05). Occupational stress and job discomfort were identified as risk factors for occupational fatigue ( OR=11.94, 3.26, P<0.05). Job adaptation and occupational stress exhibited a multiplicative interaction on physical fatigue after adjusting for confounders[ OR (95% CI) =0.43 (0.22, 0.84) ]. Additionally, job adaptation and occupational stress demonstrated an additive interaction on mental fatigue, with RERI (95% CI) =2.64 (0.11, 5.59), API (95% CI) =0.38 (0.08, 0.67), and SI (95% CI) =1.78 (1.01, 3.14). Medical Homo sapiens personnel in a stressful state had a 7.25-fold higher risk of fatigue compared to those not in a stressful state, while those with job discomfort had a 2.01-fold higher risk compared to those in an adapted state. Conclusion:Occupational stress and job fit have interactive effects on physical fatigue and mental fatigue in medical Homo sapiens personnel. A stressful state combined with job discomfort increases the risk of fatigue occurrence, providing a basis for developing intervention strategies for occupational fatigue among medical Homo sapiens personnel.

Background and purpose:Accurate preoperative differentiation between vagal nerve cervical schwannomas(SCCS)and sympathetic chain cervical schwannomas(SCCS)in the neck is crucial because of their different postoperative complication.This study aimed to construct and validate a Diagnosis Score and vascular displacement nomogram for the preoperative differentiation of VNCS from SCCS in the neck.Methods:This cross-sectional study retrospectively analyzed patients with pathologically confirmed VNCS and SCCS at Fudan University Shanghai Cancer Center from January 2017 to April 2022.This study was approved by the medical ethics committee of Fudan University Shanghai Cancer Center(approval number:1612167-18).Inclusion criteria:① histopathological diagnosis of VNCS or SCCS through biopsy or surgical resection;② patients with complete clinic data;③availability of preoperative contrast-enhanced computed tomography(CT)or magnetic resonance imaging(MRI)examinations.Patients were excluded for:① contrast agent contraindications;② poor image quality;③ severe artifacts;④ non-standard scanning protocols.The cohort was randomly divided into training and validation sets in a 7∶3 ratio.Two radiologists(one resident and one attending physician)independently evaluated tumor characteristics(location,size and vascular displacement patterns)on preoperative imaging.Independent predictors were selected using LASSO regression analysis to construct a diagnostic scoring system and nomogram,with model performance evaluated by the receiver operating characteristic(ROC)curve.Results:A total of 110 patients were enrolled,with 77 cases allocated to the training set and 33 cases to the validation set.The age range was 24-78 years,and the mean age was(51.22±12.36)years.There were no statistically significant differences in baseline characteristics including age,gender,tumor location and size between the two patient groups(P＞0.05).ICA/ECA splaying was significantly associated with SCCS(P＜0.001),while the ICA/IJV splaying was significantly associated with VNCS(P＜0.001).Lateral and posterior ICA displacement were significantly associated with SCCS(P＜0.001),and medial and anterior ICA displacement were significantly associated with VNCS(P＜0.001).Five features including tumor size,ICA displacement direction,IJV displacement direction,ICA/ECA splaying and ICA/IJV splaying were used to establish the Diagnosis Score and nomogram.The nomogram combined imaging features showed favorable preference value for differentiating VNCS from SCCS,with area under curve(AUC)values of 0.953(95%CI:0.912-0.994)and 0.939(95%CI:0.885-0.993)for the training and validation cohorts,respectively.Conclusion:The Diagnosis Score and vascular displacement nomogram showed favorable predictive efficacy for differentiating VNCS from SCCS in the neck,and might be useful for clinical decision-making.

Background and purpose:Accurate preoperative differentiation between vagal nerve cervical schwannomas(SCCS)and sympathetic chain cervical schwannomas(SCCS)in the neck is crucial because of their different postoperative complication.This study aimed to construct and validate a Diagnosis Score and vascular displacement nomogram for the preoperative differentiation of VNCS from SCCS in the neck.Methods:This cross-sectional study retrospectively analyzed patients with pathologically confirmed VNCS and SCCS at Fudan University Shanghai Cancer Center from January 2017 to April 2022.This study was approved by the medical ethics committee of Fudan University Shanghai Cancer Center(approval number:1612167-18).Inclusion criteria:① histopathological diagnosis of VNCS or SCCS through biopsy or surgical resection;② patients with complete clinic data;③availability of preoperative contrast-enhanced computed tomography(CT)or magnetic resonance imaging(MRI)examinations.Patients were excluded for:① contrast agent contraindications;② poor image quality;③ severe artifacts;④ non-standard scanning protocols.The cohort was randomly divided into training and validation sets in a 7∶3 ratio.Two radiologists(one resident and one attending physician)independently evaluated tumor characteristics(location,size and vascular displacement patterns)on preoperative imaging.Independent predictors were selected using LASSO regression analysis to construct a diagnostic scoring system and nomogram,with model performance evaluated by the receiver operating characteristic(ROC)curve.Results:A total of 110 patients were enrolled,with 77 cases allocated to the training set and 33 cases to the validation set.The age range was 24-78 years,and the mean age was(51.22±12.36)years.There were no statistically significant differences in baseline characteristics including age,gender,tumor location and size between the two patient groups(P＞0.05).ICA/ECA splaying was significantly associated with SCCS(P＜0.001),while the ICA/IJV splaying was significantly associated with VNCS(P＜0.001).Lateral and posterior ICA displacement were significantly associated with SCCS(P＜0.001),and medial and anterior ICA displacement were significantly associated with VNCS(P＜0.001).Five features including tumor size,ICA displacement direction,IJV displacement direction,ICA/ECA splaying and ICA/IJV splaying were used to establish the Diagnosis Score and nomogram.The nomogram combined imaging features showed favorable preference value for differentiating VNCS from SCCS,with area under curve(AUC)values of 0.953(95%CI:0.912-0.994)and 0.939(95%CI:0.885-0.993)for the training and validation cohorts,respectively.Conclusion:The Diagnosis Score and vascular displacement nomogram showed favorable predictive efficacy for differentiating VNCS from SCCS in the neck,and might be useful for clinical decision-making.

Objective:To investigate the relationship between work fit, work stress, and occupational fatigue among medical staff, and to analyze the independent and interactive effects of work fit and work stress on occupational fatigue.Methods:A stratified random sampling method was employed to select 1162 employees from two top-tier hospitals as the research subjects. A questionnaire survey was conducted to collect information on basic demographics, work stress, work fit, and occupational fatigue. Chi-square test, analysis of variance, and logistic regression equations were used to evaluate the interactive effects of work fit and work stress on occupational fatigue.Results:This study included 1162 medical Homo sapiens personnel, among whom 884 were job-adapted and 362 were in a stressful state. Univariate logistic regression analysis showed that the risk of occupational fatigue significantly increased in the 40-49 age group ( OR=1.89) and the bachelor's degree group ( OR=2.52, P<0.01). Smoking and alcohol consumption were also associated with a significantly higher risk of occupational fatigue ( P<0.01). In terms of occupational characteristics, compared to clinical doctors, nurses and pharmaceutical/technical Homo sapiens personnel had lower risks ( OR=0.57, 0.43, P<0.05). Compared to high-ranking Homo sapiens personnel, those with no title or junior titles exhibited lower risks ( OR=0.51, 0.43, P<0.05). Working hours exceeding 55 hours per week and night shifts 3-4 times per week significantly increased fatigue risk ( OR=1.94, 1.90, P<0.05). Occupational stress and job discomfort were identified as risk factors for occupational fatigue ( OR=11.94, 3.26, P<0.05). Job adaptation and occupational stress exhibited a multiplicative interaction on physical fatigue after adjusting for confounders[ OR (95% CI) =0.43 (0.22, 0.84) ]. Additionally, job adaptation and occupational stress demonstrated an additive interaction on mental fatigue, with RERI (95% CI) =2.64 (0.11, 5.59), API (95% CI) =0.38 (0.08, 0.67), and SI (95% CI) =1.78 (1.01, 3.14). Medical Homo sapiens personnel in a stressful state had a 7.25-fold higher risk of fatigue compared to those not in a stressful state, while those with job discomfort had a 2.01-fold higher risk compared to those in an adapted state. Conclusion:Occupational stress and job fit have interactive effects on physical fatigue and mental fatigue in medical Homo sapiens personnel. A stressful state combined with job discomfort increases the risk of fatigue occurrence, providing a basis for developing intervention strategies for occupational fatigue among medical Homo sapiens personnel.

Objective:To explore the impact of the stimulator of interferon genes(STING)-interferon regulatory factor 3(IRF3)pathway on the senescence of rapid pacing HL-1 myocytes.Methods:HL-1 cells were divided into five groups: the control group(HL-1 cells without any treatment), pacing group(HL-1 cells paced for 48 hours), STING siRNA group(HL-1 cells paced for 48 hours and transfected with STING siRNA), NC siRNA group(HL-1 cells paced for 48 hours and transfected with NC siRNA), and H151 inhibitor group(HL-1 cells paced for 48 hours with the addition of 1 μmol/L STING inhibitor H151). Mitochondrial membrane potential was assessed in control and pacing group cells, and mitochondrial MitoTracker and TFAM co-localization staining was performed on these cells.Cellular senescence was evaluated using β-galactosidase staining in each group, and the positive rate of cellular senescence was observed and calculated.Western blotting was employed to detect the expression levels of STING, IRF3, P-IRF3, P16, P21, and P53 proteins in all groups.Immunofluorescence was utilized to examine the expression distribution of STING and P21 across the various groups.ELISA was performed to measure the concentrations of interleukin(IL)-1β, IL-6, and IL-8 in the cell supernatants from each group as part of the senescence-associated secretory phenotype(SASP).Results:Compared with the control group, the ratio of mitochondrial JC-1 multimer to monomer was significantly decreased in the pacing group( t=16.42, P<0.05), the co-localization of mitochondrial MitoTracker and TFAM in the cells was significantly weakened, the proportion of cells with positive cellular senescence-associated β-galactosidase staining significantly increased in the pacing group, the expression levels of STING, P-IRF3/IRF3, P16, P21, and P53 proteins were significantly elevated in the pacing group, and the concentrations of IL-1β, IL-6, and IL-8 in the cell supernatants were markedly increased.Compared with the pacing group, the proportion of cells with positive cellular senescence-associated β-galactosidase staining decreased in the STING siRNA group and H151 inhibitor group ( F= 18.13, P<0.05), the expression levels of STING, P-IRF3/IRF3, P16, P21, and P53 were reduced in the STING siRNA group and H151 inhibitor group ( F=16.84, 26.56, 74.70, 31.80, 31.23, all P<0.05), and the concentrations of IL-1β, IL-6, and IL-8 in the cell supernatants decreased( F=197.80、1 339.00、1 308.00, all P<0.001). Conclusions:Rapid pacing of HL-1 cells can promote mtDNA release into the cytoplasm, activate the STING-IRF3 pathway, accelerate cellular senescence, and enhance the secretion of SASP.Inhibiting the expression of STING can delay the senescence induced by the rapid pacing of HL-1 cells and reduce SASP secretion.

Objective:To identify and evaluate the important risk factor set of anxiety and depression in occupational population, establish a risk prediction model, and provide scientific basis for making targeted mental health protection plan and promoting the mental health of workers.Methods:In August 2016, a cluster random sampling method was used to investigate 807 employees who underwent physical examination in a hospital as research objects. The simplified Chinese version of the core job content questionnaire, Athens Insomnia Scale, AIS-5 and Symptom Check List-90 (SCL-90) were used for the Occupational stress, insomnai and negative emotional symptom investigation. Chi-square and Fisher exact probability method were used for data analysis, and Bayesian network was used for model construcion and analysis.Results:The score of occupational stress was 0.88±0.15, and the incidence of occupational stress was 18.09% (146/807). AIS-5 scores were (3.03±2.82), and the incidence of insomnia was 15.99% (129/807). Depression (16.89±5.73) scores, anxiety (12.36±4.11) scores. Depression (16.89±5.73) score, anxiety (12.36±4.11) score, the detection rate was 8.55% (69/755), 7.31% (59/762). Gender, illness, education, insomnia and occupational stress were correlated with depression ( P<0.01), while education, illness, insomnia and anxiety were correlated ( P<0.05). When both occupational stress and insomnia existed, the detection rate of depression was the highest (0.4006) . Conclusion:Insomnia was a valid predictor of anxiety and depression, suggesting that occupational groups should pay attention to sleep quality and managers should rationalize work tasks in order to reduce the risk of anxiety and depression.

Background Studies on the relationships of environmental noise exposure with negative emotions and sleep quality have long been reported. Self-perceived noise intensity is not only related to environmental noise exposure, but also reflects an individual's susceptibility to noise; however, few studies on self-perceived noise intensity, negative emotions, and sleep quality have been reported, and it is not clear whether negative emotions play a mediating role in the relationship between self-perceived noise intensity and sleep quality. Objective To analyze the mediating role of negative emotions (anxiety, depression, and stress) in the relationship between self-perceived noise intensity and sleep quality in noise-exposed workers, and to provide a scientific basis for addressing psychological problems and sleep quality induced by noise exposure. Methods Stratified cluster sampling was used to select noise-exposed workers from a large equipment manufacturing plant in Chengdu from May to June 2023, and demographic characteristics were investigated using a self-designed general information questionnaire; self-perceived noise intensity was reported by the study subjects as the noise intensity of their workplaces; sleep quality was synthesized from three indicators: night sleep duration, self-perceived sleep quality, and sleep-related symptoms; the Anxiety-Depression-Stress Scale (DASS-21 scale) was used to evaluate anxiety, depression, and stress of a worker. Structural equation modeling was used to analyze the pathways of negative emotions (anxiety, depression, and stress) between self-perceived noise intensity and sleep quality. Results The positive rates of negative emotions were 33.1% (anxiety symptoms, 215/649), 26.0% (depression symptoms, 169/649), and 14.0% (stress symptoms, 91/649), respectively in a total of 649 noise-exposed workers. Self-perceived noise intensity was positively correlated with sleep quality score (r=0.218, P<0.001) and negative emotions (anxiety, depression, and stress) (r=0.167, 0.145, 0.167, P<0.001); sleep quality score was positively correlated with negative emotions (anxiety, depression, and stress) (r=0.512, 0.447, 0.513, P<0.001). The results of path analysis showed that the negative emotions (anxiety, depression, and stress) partially mediated between self-perceived noise intensity and sleep quality (β=0.123，P<0.001). Self-perceived noise intensity was positively correlated with negative emotions and sleep quality, and there was a path of self-perceived noise intensity → negative emotion → sleep quality (P<0.001), and the mediating effect accounted for 42.71%. Conclusion The positive rates of anxiety, depression, and stress are high among the noise-receiving workers in this manufacturing industry, and negative emotions characterized by anxiety, depression, and stress partially mediate the relationship between self-perceived noise intensity and sleep quality.