Objective: To analyze the compliance status of physical fitness indicator and lifestyle characteristics among secondary vocational school students, as well as their associations, so as to provide a reference for physical fitness promotion among secondary vocational school students. Methods: Using a convenience sampling method, a questionnaire survey and physical fitness tests were conducted from September to December 2024 among 5 141 secondary vocational school students recruited from 16 secondary vocational schools across 8 provinces/municipalities in China, including Fujian, Chongqing, Guangdong, Guangxi, Hubei, Jiangxi, Shanghai and Zhejiang. Data on lifestyle factors were collected using a self designed questionnaire combined with standardized scales, including dietary habits, unhealthy behaviors, and 24 hour behaviors (physical activity, screen time, and sleep behavior). Multivariable Logistic regression model was used to analyze the associations of individual lifestyle behaviors and clustering of unhealthy lifestyle behaviors with non-compliance in physical fitness indicators among secondary vocational school students. Results: The compliance rates for waist circumference, vital capacity, grip strength, standing long jump, 30 second sit ups, 20 meter shuttle run, 50 meter dash, sit and reach, 20 second side steps among secondary vocational school students were 55.9%, 89.6%, 81.8%, 79.4%, 77.8%, 61.4%, 87.0%, 12.6%, and 63.5%, respectively, with a non-overweight/obesity rate of 78.9%. The reporting rates of daily breakfast consumption, milk consumption, and vegetable consumption were 58.9%, 18.3%, and 37.5%, respectively. The reporting rates of frequent takeout consumption, frequent sugar sweetened beverage consumption, smoking, alcohol drinking, insufficient moderate to vigorous physical activity (MVPA), excessive screen time, and insufficient sleep were 30.0%, 43.8%, 8.4%, 15.8%, 42.9%, 90.8%, and 42.6%, respectively. Multivariable Logistic regression analysis showed that secondary vocational school students with insufficient MVPA had higher risks of non-compliance in vital capacity, grip strength, standing long jump, 30 second sit ups, 20 meter shuttle run, 50 meter dash, and 20 second side steps ( OR =1.22- 1.60 ); secondary vocational school students who consumed breakfast daily had lower risks of non-compliance in vital capacity and overweight/obesity ( OR =0.81, 0.85); daily vegetable consumption was associated with a lower risk of vital capacity non-compliance ( OR =0.72); frequent takeout consumption was associated with an increased risk of non-compliance in the sit and reach test ( OR =1.28); smoking was associated with increased risks of non-compliance in the 20 meter shuttle run and 20 second side steps ( OR =1.38, 1.58) (all P <0.05). Regarding the clustering of unhealthy behaviors, secondary vocational school students with 4- 5 clustered unhealthy behaviors had higher risks of non-compliance in waist circumference and standing long jump; those with≥6 clustered behaviors had higher risks of non-compliance in standing long jump, 20 meter shuttle run, and 20 second side step ( OR = 1.17-1.36, all P <0.05). Conclusions The clustering of unhealthy behaviors is negatively associated with physical fitness status among secondary vocational school students. Secondary vocational schools should prioritize the promotion of comprehensive lifestyle management to improve the physical fitness levels of secondary vocational school students.

Objective To evaluate the consistency of multi-slice spiral CT (MSCT), Digital Radiography (DR) and fat-suppression MRI in detecting occult knee joint injury. Method Clinical data from 150 patients with suspected occult knee injuries who presented to the Department of imaging at the General Hospital of Ordnance Industry between August 2022 and August 2023 were retrospectively reviewed. All patients underwent MSCT, DR, and fat-suppression MRI for diagnostic evaluation. Arthroscopic or surgical findings served as the gold standard. We analyzed and compared the detection rates of specific types of occult knee injuries (ligament, meniscus, occult fracture, etc.) across the three modalities, as well as their ability to assess the degree of collapse and horizontal displacement in patients with knee fractures, and their overall diagnostic performance. Result According to the gold standard, among the 150 patients with suspected occult knee injury, 103 tested positive and 47 negative. Statistically significant differences were observed among MSCT, DR, and fat-suppression MRI in detecting occult fractures(P<0.05). The detection rates ranked in descending order asfollows: fat-suppression MRI>MSCT>DR. However, no significant difference were found in the detection rates of joint effusion and patellar cartilage injuries among the three techniques (P>0.05). Statistically differences were also note among the three techniques in detecting the degree of collapse and horizontal displacement in patients with knee fractures (P<0.05). Specifically fat-suppression MRI identified a higher proportion of grade 1 and 2 lesions than both MSCT and DR. Statistically significant differences were observed among the three techniques in diagnostic sensitivity and accuracy for occult knee injuries (P<0.05). Fat-suppression MRI demonstrated superior sensitivity (99.03%) and accuracy (96.67%) compared with MSCT (75.73%, 79.33%) and DR (61.17%, 68.00%). However, no significant difference was found in diagnostic specificity among the three techniques (P>0.05). Conclusion Compared with MSCT and DR, fat-suppression MRI offers higher diagnostic sensitivity and accuracy for occult knee injuries, particularly in identifying ligament injuries, meniscus injuries, and occult fractures.

Objective To evaluate the consistency of multi-slice spiral CT (MSCT), Digital Radiography (DR) and fat-suppression MRI in detecting occult knee joint injury. Method Clinical data from 150 patients with suspected occult knee injuries who presented to the Department of imaging at the General Hospital of Ordnance Industry between August 2022 and August 2023 were retrospectively reviewed. All patients underwent MSCT, DR, and fat-suppression MRI for diagnostic evaluation. Arthroscopic or surgical findings served as the gold standard. We analyzed and compared the detection rates of specific types of occult knee injuries (ligament, meniscus, occult fracture, etc.) across the three modalities, as well as their ability to assess the degree of collapse and horizontal displacement in patients with knee fractures, and their overall diagnostic performance. Result According to the gold standard, among the 150 patients with suspected occult knee injury, 103 tested positive and 47 negative. Statistically significant differences were observed among MSCT, DR, and fat-suppression MRI in detecting occult fractures(P<0.05). The detection rates ranked in descending order asfollows: fat-suppression MRI>MSCT>DR. However, no significant difference were found in the detection rates of joint effusion and patellar cartilage injuries among the three techniques (P>0.05). Statistically differences were also note among the three techniques in detecting the degree of collapse and horizontal displacement in patients with knee fractures (P<0.05). Specifically fat-suppression MRI identified a higher proportion of grade 1 and 2 lesions than both MSCT and DR. Statistically significant differences were observed among the three techniques in diagnostic sensitivity and accuracy for occult knee injuries (P<0.05). Fat-suppression MRI demonstrated superior sensitivity (99.03%) and accuracy (96.67%) compared with MSCT (75.73%, 79.33%) and DR (61.17%, 68.00%). However, no significant difference was found in diagnostic specificity among the three techniques (P>0.05). Conclusion Compared with MSCT and DR, fat-suppression MRI offers higher diagnostic sensitivity and accuracy for occult knee injuries, particularly in identifying ligament injuries, meniscus injuries, and occult fractures.

Objective To evaluate the consistency of multi-slice spiral CT (MSCT), Digital Radiography (DR) and fat-suppression MRI in detecting occult knee joint injury. Method Clinical data from 150 patients with suspected occult knee injuries who presented to the Department of imaging at the General Hospital of Ordnance Industry between August 2022 and August 2023 were retrospectively reviewed. All patients underwent MSCT, DR, and fat-suppression MRI for diagnostic evaluation. Arthroscopic or surgical findings served as the gold standard. We analyzed and compared the detection rates of specific types of occult knee injuries (ligament, meniscus, occult fracture, etc.) across the three modalities, as well as their ability to assess the degree of collapse and horizontal displacement in patients with knee fractures, and their overall diagnostic performance. Result According to the gold standard, among the 150 patients with suspected occult knee injury, 103 tested positive and 47 negative. Statistically significant differences were observed among MSCT, DR, and fat-suppression MRI in detecting occult fractures(P<0.05). The detection rates ranked in descending order asfollows: fat-suppression MRI>MSCT>DR. However, no significant difference were found in the detection rates of joint effusion and patellar cartilage injuries among the three techniques (P>0.05). Statistically differences were also note among the three techniques in detecting the degree of collapse and horizontal displacement in patients with knee fractures (P<0.05). Specifically fat-suppression MRI identified a higher proportion of grade 1 and 2 lesions than both MSCT and DR. Statistically significant differences were observed among the three techniques in diagnostic sensitivity and accuracy for occult knee injuries (P<0.05). Fat-suppression MRI demonstrated superior sensitivity (99.03%) and accuracy (96.67%) compared with MSCT (75.73%, 79.33%) and DR (61.17%, 68.00%). However, no significant difference was found in diagnostic specificity among the three techniques (P>0.05). Conclusion Compared with MSCT and DR, fat-suppression MRI offers higher diagnostic sensitivity and accuracy for occult knee injuries, particularly in identifying ligament injuries, meniscus injuries, and occult fractures.

Background Previous studies have focused on the respiratory system and skin damage caused by refractory ceramic fibers (RCFs). However, investigations into cardiovascular health of workers exposed to RCFs are insufficient. There is limited research on the association between occupational RCFs exposure and abnormal blood pressure, as well as the potential underlying mechanisms. Objective To explore the association between occupational exposure to RCFs and abnormal blood pressure, and to analyze the role of serum 8-hydroxy-2’-deoxyguanosine (8-OHdG) in this relationship, providing a reference for comprehensive health protection strategies for RCFs-exposed workers. Methods Using a cluster sampling method, 311 workers engaged in the production and processing of RCFs at a large RCFs enterprise were selected as the study population. A questionnaire survey was conducted to collect demographic information and other relevant data. The workers’ total dust, respirable fiber, and noise exposure levels were measured. Blood pressure was measured during occupational health examinations, and blood samples were collected. Based on blood pressure levels, the participants were divided into three groups: normotension, prehypertension, and hypertension. Serum 8-OHdG concentrations were determined by enzyme-linked immunosorbent assay (ELISA). Ordinal logistic regression and multiple linear regression models were applied to evaluate the associations of exposures to noise and RCFs with abnormal blood pressure and serum 8-OHdG levels. The mediating effect of serum 8-OHdG on the relationship between occupational RCFs exposure and abnormal blood pressure was analyzed using the PROCESS 4.1 macro. Results All 311 RCFs workers had varying levels of occupational exposure to RCFs, among whom 113 were also exposed to noise. The overall prevalences of prehypertension and hypertension among the participants were 49.84% and 11.25%, respectively. In the noise-exposed group, the prevalences of normotension, prehypertension, and hypertension were 44.2%, 43.4%, and 12.4%, respectively, which showed no statistically significant difference compared to the non-noise-exposed group (35.9%, 53.5%, and 10.6%, respectively; P=0.652). Significant differences were observed in the prevalences of normotension, prehypertension, and hypertension among workers with different levels of total dust exposure (P=0.033) and respirable fiber exposure (P=0.034). The differences in serum 8-OHdG concentrations across these groups were also statistically significant (P<0.05). Multiple regression analyses showed that both total dust exposure level (OR=1.83, 95%CI: 1.34, 2.51) and respirable fiber exposure level (OR=1.85, 95%CI: 1.31, 2.62) were positively associated with the detection of abnormal blood pressure. Furthermore, total dust exposure level (β=5.85, 95%CI: 0.53, 11.17) and respirable fiber exposure level (β=6.04, 95%CI: 0.14, 11.94) were positively associated with serum 8-OHdG concentrations. Further analysis indicated that the severity of abnormal blood pressure was positively associated with serum 8-OHdG concentrations (β=10.54, 95%CI: 3.62, 17.46). Mediation analysis demonstrated that serum 8-OHdG mediated the relationship between RCFs total dust exposure levels and the risk of abnormal blood pressure (P<0.05), accounting for 8.63% of the total effect. However, no mediating effect of serum 8-OHdG was observed in the association between RCFs respirable fiber exposure levels and the risk of abnormal blood pressure (P>0.05). Conclusion Occupational exposure to RCFs is closely associated with an increased risk of abnormal blood pressure and elevated serum 8-OHdG levels. Oxidative stress may play a mediating role in the relationship between RCF exposure and abnormal blood pressure.

Objective To identify key influencing factors for comorbidity between myopia and depressive symptoms among middle school students, and to construct a nomogram predictive model capable of quantitatively assessing their comorbidity risk. Methods A total of 13 976 middle school students aged 11-20 from 14 counties (cities, districts) in Yichang City were selected as study subjects through cluster random sampling. On-site surveys were conducted using the Student Health Status and Influencing Factors Questionnaire and the Depression Assessment Scale. Chi-square test and multivariate logistic regression analysis were employed to investigate the comorbidity association between myopia and depressive symptoms and their influencing factors, and to construct a nomogram model for risk prediction. Results The myopia screening rate among middle school students was 68.67%, the depression detection rate was 23.31%, and the comorbidity detection rate was 16.59%. Logistic regression analysis revealed that boarding school (OR=1.207), smoking history (OR=1.504), alcohol consumption (OR=2.016), outdoor activity time <1 h (OR=1.293), internet addiction (OR=4.008), school bullying (OR=4.358), school absence due to illness within one year (OR=1.712), and severe injury within one year (OR=1.356) were risk factors for myopia-depression comorbidity. Protective factors included male gender (OR=0.578), junior high school students (OR=0.670), nuclear family (OR=0.862), moderate-to-high intensity exercise ≥1 h/d (OR=0.852), screen time <2h (OR=0.803), adequate sleep duration (OR=0.602), and homework time after school <2 h/d (OR=0.766). The nomogram model constructed based on the above variables exhibited excellent discriminant power (AUC = 0.712) and calibration (Hosmer-Lemeshow test, χ²=3.245, P> 0.05). Conclusion Factors such as boarding school attendance, smoking history, alcohol consumption, less than 1 hour of daily outdoor activity, internet addiction, and school bullying are significantly associated with the comorbidity of screening myopia and depressive symptoms among middle school students in Yichang City. The nomogram model effectively predicts the comorbidity risk in this population, facilitating timely intervention for high-risk individuals.

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 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.

Objective To investigate the influencing factors of pulmonary and extrapulmonary acute re-spiratory distress syndrome(ARDS)caused by sepsis.Methods A total of 126 patients with ARDS admitted to the Department of Critical Care Medicine,General Hospital of Ningxia Medical University,from January 2022 to June 2024 were selected.Patients were divided into pulmonary ARDS and extrapulmonary ARDS groups based on the etiology of ARDS.General data,inflammatory indicators,and prognostic outcomes were compared between the two groups.COX regression analysis was used to identify prognostic factors.Results A-mong the 126 patients,72 were diagnosed with pulmonary ARDS and 54 with extrapulmonary ARDS.The pulmonary ARDS group had significantly lower SOFA scores,fewer organ dysfunctions,a lower incidence of arrhythmia,shorter mechanical ventilation duration,higher Murray scores,and higher Charlson Comorbidity Index(CCI)compared to the extrapulmonary ARDS group(P<0.05).Inflammatory markers,including pro-calcitonin(PCT),C-reactive protein(CRP),interleukin(IL)-4,IL-6,IL-10,and tumor necrosis factor-α(TNF-α),were significantly lower in the pulmonary ARDS group,while interferon-γ(INF-γ)levels were higher(P<0.05).For pulmonary ARDS,CCI and TNF-α were identified as independent risk factors for prog-nosis(P<0.05),with the combination of CCI and TNF-α yielding the highest predictive accuracy(AUC=0.81,95%CI:0.71-0.91).For extrapulmonary ARDS,CCI and CRP were independent risk factors(P<0.05),and their combination achieved the highest predictive performance(AUC=0.91,95%CI:0.84-0.98).Conclusion Inflammatory profiles between pulmonary and extrapulmonary ARDS caused by sepsis are different.CCI and TNF-α are independent risk factors for mortality in pulmonary ARDS,while CCI and CRP are independent risk factors in extrapulmonary ARDS.

Objective To analyze the temporal trend of thyroid cancer incidence in China from 1992 to 2021 and evaluate the impact of age,period and cohort on the incidence.Methods Based on the Global Burden of Disease 2021,the trend changes of age-standardized incidence rate(ASIR)of thyroid cancer in China from the period were analyzed,and the obtained data were further analyzed with Joinpoint regression and age-period-cohort analysis.Auto regressive integrated moving average(ARIMA)model was applied to predict the incidence of thyroid cancer in China in the next 20 years.Results The ASIR of thyroid cancer among males was increased from 0.70/100 000 to 2.11/100 000 between 1992 and 2021,with an average annual percent change(AAPC)of 3.93%(95%CI:3.86%～4.00%,P<0.001);For the females,the ASIR was elevated from 1.91/100 000 to 2.87/100 000 in the time,with an AAPC of 1.43%(95%CI:1.36%～1.50%,P<0.001).On the age effect,the overall variation in ASIR among the females was minor,and that in the males reached its peak in the≥85-years-old group,with a rate of 230.51/100 000.Regarding the period effect,the risk of thyroid cancer incidence in the males and females changed with the period and exhibited a temporal increase,and the incidence risk was consistently higher in the males than the females across different periods.Taking the incidence risk during 1992 and 1996 as a reference(RR=1),the males(RR=2.94,95%CI:2.78～3.11)and the females(RR=1.37,95%CI:1.32～1.42)had the highest risk of thyroid cancer in the period from 2017 to 2021.On the cohort effect,the risk of thyroid cancer in both sexes showed an increasing trend with cohort change.When taking the cohort during 1992 and 1996 as a reference(RR=1),the females in the pre-1986 cohort exhibited a higher risk of incidence than the males,but in the post-1996 cohort,the males demonstrated a greater risk of incidence than the females.The males in the 2012-2016 cohort had the highest risk of thyroid cancer when compared to the reference group(RR=2.54,95%CI:1.80～3.57),and the females in the cohort from 1992 to 2016 had higher risk of thyroid cancer than the reference group,though no statistical differences were observed.The ARIMA model prediction analysis found that the ASIR of thyroid cancer in males and females in China would continue to increase from 2022 to 2041,and the ASIR of thyroid cancer in males would reach 2.79/100 000(95%CI:1.96～3.61),and the ASIR of thyroid cancer in females would reach 3.54/100 000(95%CI:3.02～4.06)by 2041.Conclusion Between 1992 and 2021,the ASIR of thyroid cancer in China has exhibited a consistent upward trend,with the females having a higher ASIR than the males.However,the risk of developing thyroid cancer is higher in men who are older and those who were born more recently.In the next 20 years,the incidence of thyroid cancer among both men and women in China is projected to continue to rise,and the situation for prevention and control will be challenging.