Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Workers in the cable manufacturing industry are exposed to high-speed machinery and equipment for a long time, coupled with heavy workload, which poses significant risks to their physical health. However, the issue of occupational injuries in this industry has not received enough attention yet. Objective To understand the incidence of occupational injury of workers in cable manufacturing industry and to analyze the influencing factors. Method A basic information questionnaire and an occupational injury questionnaire were developed to investigate the occupational injuries of 1 343 workers in a cable manufacturing enterprise in the past year, and a total of 1 225 valid questionnaires were recovered, with an effective rate of 91.2%. Descriptive statistics were used to characterize the causes, injury locations, injury types, and other characteristics of employees’ occupational injuries. Chi-square test was used to analyze the occupational injury status of groups with different demographic characteristics, occupational characteristics, lifestyles, and interpersonal relationships. Logistic regression was used to analyze the influencing factors of occupational injuries. Result The incidence of occupational injuries among workers in a cable manufacturing enterprise in the past year was 8.6%, which mainly happened in male workers (80.0%) and occurred from May to July in summer (45.7%). The main causes were mechanical injuries (32.4%) and object blows (27.6%). The main sources of damage were machinery and equipment (36.2%) as well as raw materials and products (15.2%). The main injuries were located in upper limbs (53.3%) and lower limbs (22.9%). The main types of injuries were fractures (33.3%) and abrasions/contusions/puncture wounds (19.0%). The results of univariate analysis showed that there were statistically significant variations in the incidence of occupational injuries by gender, overtime, pre-job training, years of service in current position, alcohol consumption, physical exercise per week, and co-worker relationship (P<0.05). The logistic regression model showed that workers who exercised less than twice a week, did not participate in pre-job training, worked overtime, and had fair/poor/very poor colleague relationship had a higher risk of occupational injury, while women had a lower risk of occupational injury. Conclusion The distribution of occupational injury population is mainly male, and the time distribution is mainly from May to July. Gender, physical exercise, pre-job training, overtime, and colleague relationship are the influencing factors of occupational injuries. We should strengthen pre-job training, arrange work hours reasonably, and create a good working atmosphere to reduce the occurrence of occupational injuries.

Background Social psychological factors have emerged as a key area of research in occupational injury prevention. Occupational stress, a significant component of social psychology, has garnered widespread attention due to its potential impact on occupational injury. Objective To analyze the factors influencing occupational stress among cable manufacturing workers and explore the relationship between occupational stress and occupational injury, and to provide scientific evidence for reducing occupational stress and injury. Methods A questionnaire on basic demographics, occupational injury, and occupational stress (Effort-Reward Imbalance, ERI) was used to investigate 1343 workers in a cable enterprise. Chi-square test was employed to analyze the distribution of occupational stress across different worker characteristics. Logistic regression was used to identify factors influencing occupational stress, and a decision tree model was applied to assess the impact of occupational stress on injury risk. Results A total of 1225 valid questionnaires were collected, yielding a response rate of 91.2%. The positive rate of occupational stress was 28.7%, while the incidence of occupational injury in the past year was 8.6%. The results of univariate analysis revealed that workers who had experienced occupational injuries had a higher positive rate of occupational stress compared to those without injuries (P<0.05), and there were significant differences in the distribution of occupational stress by genders, overtime work, shift work, daily working hours, fatigue levels, sleep duration, family relationships, and colleague relationships (P<0.05). The logistic regression results showed that individuals who worked shifts, had fair/poor/very colleague relationships, and frequently worked overtime had a higher risk of occupational stress (P<0.05). The final decision tree model confirmed that occupational stress was a risk factor for occupational injury. Additional factors influencing occupational injury included physical exercise, colleague relationships, pre-job training participation, and gender. Workers who exercised less than twice per week and experienced occupational stress had a significantly higher risk of injury (23.6%) compared to those without occupational stress (10.9%). Conclusion Shift work, colleague relationships, and overtime work are correlated with the positive rate of occupational stress among cable manufacturing workers. Implementing a reasonable work schedule and fostering a positive work environment are recommended. Reducing occupational stress may help lower the risk of occupational injuries in this industry.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

Osteoarthritis(OA)is a chronic progressive osteoarthropathy in the elderly.Osteoclast activation plays a crucial role in the occurrence of subchondral bone loss in early OA.However,the specific mechanism of osteoclast differentiation in OA remains unclear.In our study,gene expression profiles related to OA disease progression and osteoclast activation were screened from the Gene Expression Omnibus(GEO)repository.GEO2R and Funrich analysis tools were employed to find differentially expressed genes(DEGs).Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses demonstrated that chemical carcinogenesis,reactive oxygen species(ROS),and response to oxidative stress were mainly involved in osteoclast differentiation in OA subchondral bone.Furthermore,fourteen DEGs that are associated with oxidative stress were identified.The first ranked differential gene,heme oxygenase 1(HMOX1),was selected for further validation.Related results showed that osteoclast activation in the pathogenesis of OA subchondral bone is accompanied by the downregulation of HMOX1.Carnosol was revealed to inhibit osteoclastogenesis by targeting HMOX1 and upregulating the expression of antioxidant protein in vitro.Meanwhile,carnosol was found to alleviate the severity of OA by inhibiting the activation of subchondral osteoclasts in vivo.Our research indicated that the activation of osteoclasts due to subchondral bone redox dysplasia may serve as a significant pathway for the advancement of OA.Targeting HMOX1 in subchondral osteoclasts may offer novel insights for the treatment of early OA.

Ionizing radiation has been widely used for diagnosis and treatment of diseases. Nevertheless, radiation exposure may increase the risk of skin, cardiovascular system, hematological system, and metabolic disorders, and even the risk of cancers. Rational use of ionizing radiation improves prognosis and facilitates biomedical research, while misuse or overuse may result in serious consequences. Scientific and objective assessment of health hazards of medical radiation and establishment of effective protective interventions are of great importance to control the risk of radiation exposure. This article reviews the health hazards and protective measures of medical radiation.

Hereditary thyroxine protein amyloidosis (ATTRv) is one of the most common forms of systemic and ocular amyloidosis, characterized by autosomal dominant inheritance, incomplete penetrance, and diverse manifestations. ATTRv deposition leads to visual impairment and even irreversible visual loss, which has a negative impact on the quality of life of patients. The diagnostic rate of pathological examination and genetic testing in ATTRv patients is low, and the detection rate of systemic amyloid lesions is low. We need to increase our awareness of this disease and gain a deeper understanding of its systemic manifestations and corresponding examination methods; genetic testing is conducted on the proband's family to investigate the relationship between different gene mutations and eye manifestations. In the future, multidisciplinary consultations can be conducted to jointly diagnose and treat patients with ATTRv eye involvement, conducting large-scale and long-term follow-up studies on the early clinical characteristics, treatment plans, efficacy, possible complications, and early prevention, in order to improve clinical diagnosis rate, reduce misdiagnosis rate, and improve patient prognosis.

Male infertility has evolved from a common reproductive system disease to a major social issue. Youjing granule (YG) is a Chinese medicinal material used as a therapy method for tonifying the kidneys and removing dampness due to its pathogenic characteristics. YG has been shown to regulate sperm quality in clinical trials, but the underlying mechanism is not fully understood. The present study was aimed to explore the protective effects and mechanism of action of YG on male reproductive system damage caused by methyl methane sulfonate (MMS). We first established an infertility model of rats through oral administration of MMS and then treated with YG. To determine the effect of YG, spermatogenesis, microvascular density, and secretory function of Leydig cells and Sertoli cells in rats were assessed. Spermatogonial stem cells (SSCs) were co-cultured with mouse embryo fibroblast (MEF) cells as an in vitro cell model before exposure to serum containing YG. Furthermore, the proliferation and apoptosis of SSCs were measured. Results indicated that YG increased the expression of self-renewal and proliferation-related molecules such as glial cell line derived neurotrophic factor (GDNF) and fibroblast growth factor-2 (FGF2), and improved the quality of sperm and the proliferation of SSCs. In conclusion, YG may protect spermatogenetic function of rats through regulating the proliferation and self-renewal of SSCs.
Animals ; Cell Proliferation ; Male ; Mice ; Rats ; Semen ; Spermatogenesis ; Spermatogonia ; Stem Cells

Objective:To evaluate the distribution characteristics of postinterventional cerebral hyperdensities (PCHDs) in patients with acute anterior circulation large vessel occlusive stroke after interventional therapy using the Alberta Stroke Program Early CT Score (ASPECTS) and to investigate its predictive value for symptomatic intracranial hemorrhage (sICH).Methods:Consecutive patients with acute anterior circulation large vessel occlusive stroke underwent endovascular mechanical thrombectomy (EMT) in the Stroke Center of Dongguan People's Hospital from January 2018 to December 2020 were retrospectively enrolled. The clinical, imaging and follow-up data were collected. The immediate PCHDs-ASPECTS after endovascular therapy were analyzed. Multivariate logistic regression analysis and receiver operator characteristic (ROC) curve were used to investigate its predictive value for sICH. Results:A total of 161 patients were enrolled in the study, including 115 males (71.4%). The baseline National Institutes of Health Stroke Scale (NIHSS) score was 13.6±5.6; 66 patients (41.0%) developed PCHDs and 35 (21.7%) had sICH. The baseline NIHSS score, the proportion of patients with severe stroke, the number of retrieval attempts and the detection rate of PCHDs in the sICH group were significantly higher than those in the non-sICH group, while diffusion weighted imaging-ASPECTS and PCHDs-ASPECTS were significantly lower than those in the non-sICH group (all P<0.05). Multivariate logistic regression analysis showed that PCHDs had a significant independent positive correlation with sICH (odds ratio 6.036, 95% confidence interval 1.45-25.123; P=0.013), and PCHDs-ASPECTS had a significant independent negative correlation with sICH (odds ratio 0.70, 95% confidence interval 0.496-0.992; P=0.045). ROC analysis showed that the area under the curve predicted by PCHDs-ASPECTS was 0.832 ( P<0.05). When its cut-off value was 8 points, the sensitivity and specificity were 74.3% and 83.3% respectively. Conclusions:In patients with acute anterior circulation large vessel occlusive stroke treated with EMT, the immediate postoperative PCHDs is an independent predictor of sICH, and PCHDs-ASPECTS can early predict the risk of sICH after EMT.

Atherosclerosis is closely associated with vascular diseases such as ischemic stroke and ischemic heart disease. Its main pathological mechanisms include inflammatory cell infiltration, oxidative stress, and vascular endothelial dysfunction. As an endogenous antioxidant enzyme, heme oxygenase-1 (HO-1) plays an anti-inflammatory, antioxidant and vasodilating role in the process of atherosclerosis, which can inhibit the occurrence of atherosclerosis and prevent the progress of unstable plaques. This article reviews the protective effect and mechanism of HO-1 in atherosclerosis, and discusses the important significance of HO-1 as a potential therapeutic target for atherosclerotic diseases.