Background With China's socio-economic development, the dietary structure of Chinese residents has gradually shifted from a traditional Eastern pattern characterized by high carbohydrate intake to a relatively high-fat Western dietary model, alongside a growing burden of chronic diseases. However, dietary changes may vary across different occupational groups. Objective To analyze the long-term trends in dietary energy and three major macronutrient intake among various occupational groups aged 18-59 years in nine provinces of China from 1989 to 2018, providing a scientific basis for developing occupation-specific dietary intervention strategies. Methods Based on 11 waves of data (1989–2018) from the China Health and Nutrition Survey (CHNS), 57458 employed individuals aged 18-59 years were selected as observation subjects after applying inclusion and exclusion criteria. Joinpoint regression was used to analyze temporal trends by calculating the annual percentage change (APC) and average annual percentage change (AAPC) with 95% confidence intervals. The analysis covered the energy supply ratio from the three major macronutrients and the proportion of the participants within the acceptable macronutrient distribution ranges (AMDR) for the total occupational population and specific occupational group. Results From 1989 to 2018, the dietary structure of the occupational population in the nine provinces gradually Westernized. The carbohydrate energy supply ratio showed a decreasing trend (AAPC=−0.77%, 95%CI: −1.00%, −0.55%, P<0.05), while the fat energy supply ratio increased (AAPC=1.42%, 95%CI: 1.07%, 1.77%, P<0.05). The protein energy supply ratio remained largely unchanged (AAPC=−0.19%, 95%CI: −0.08%, 0.46%, P>0.05), and the total energy intake declined (AAPC=−0.62%, 95%CI: −0.94%, −0.30%, P<0.05). Among the occupational groups studied, white-collar workers were the first to show characteristics of dietary Westernization. Using the AMDR as the criterion, their average fat energy supply ratio first exceeded the AMDR upper limit (30%) in 1993, and their average carbohydrate energy supply ratio first fell below the AMDR lower limit (50%) in 2006, both time points being earlier than other occupational groups. Agricultural workers lagged in this transition (their average fat energy supply ratio first reached ≥30% in 2011), but their rate of increase in the fat energy supply ratio was the fastest among all occupational groups (AAPC=1.59%, 95%CI: 0.90%, 2.30%, P<0.05; P for trend comparison between groups<0.05). The other three occupational groups (blue-collar workers, service workers, and others) generally fell between these two extremes. Taking the fat energy supply ratio as an example, their AAPCs of increase were 1.02% (95%CI: 0.73%, 1.32%, P<0.05) for blue-collar workers, 0.85% (95%CI: 0.61%, 1.09%, P<0.05) for service workers, and 0.88% (95%CI: 0.58%, 1.17%, P<0.05) for others. Conclusion From 1989 to 2018, the macronutrient structure of the occupational population aged 18-59 years in nine China provinces is gradually Westernized. The energy supply ratios of carbohydrates and proteins primarily face issues of potential inadequacy, while the fat energy supply ratio is excessively high. Furthermore, the patterns of change vary among different occupational groups. It is recommended to propose personalized dietary advice tailored to specific occupations.

Background With China's socioeconomic development, significant lifestyle changes have occurred among occupational groups, leading to alterations in cardiovascular metabolic risk factors. However, few studies have examined the secular trends of these risk factors in China's working population. Objective To analyze the trends in cardiovascular metabolic risk factors among the occupational population in nine provinces of China from 2009 to 2018, and to explore the associations between different occupational types and these risk factors, along with their clustering patterns, thereby providing evidence for targeted interventions. Methods This study utilized data from the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018. The dataset covered 13274 employed individuals aged 18-59 years. Only participants with complete blood test results and physical measurement data were included in the final analysis. The average annual percentage change (AAPC) in the positive rates of risk factors was calculated using Joinpoint regression to analyze temporal trends. Multinomial logistic regression and binary logistic regression models were employed to examine the cross-sectional associations between occupational types (categorized as white-collar workers, agricultural workers, blue-collar workers, service workers, and others) and nine cardiovascular metabolic risk factors and their clustering (defined as having ≥2 risk factors) in 2018. Results A total of 8451 participants were included. From 2009 to 2018, significant increasing trends (AAPC>0, P<0.05) were observed for overweight, obesity, central obesity, borderline elevated triglycerides (TG), borderline elevated to elevated total cholesterol (TC), borderline elevated low-density lipoprotein cholesterol (LDL-C), elevated blood pressure and hypertension, diabetes. The most rapid increases were found for obesity (AAPC=6.07%, 95%CI: 3.42%, 8.88%), hypertension (AAPC=4.10%, 95%CI: 0.62%, 7.77%), and central obesity (AAPC=3.27%, 95%CI: 1.24%, 5.36%). The clustering rate of risk factors increased from 62.3% in 2009 to 73.2% in 2018 (AAPC=1.87%, 95%CI: 1.02%, 2.73%). The cross-sectional analysis in 2018, after adjusting for confounders, showed that compared with white-collar workers, blue-collar workers had a significantly lower risk of overweight (OR=0.67, 95%CI: 0.48, 0.95), central obesity (OR=0.65, 95%CI: 0.45, 0.92), and borderline high TG (OR=0.54, 95%CI: 0.35, 0.82). In contrast, agricultural workers had a higher risk of hypertension (OR=1.76, 95%CI: 1.14, 2.72). Conclusion Between 2009 and 2015, the burden of most cardiometabolic risk factors increases significantly among the Chinese occupational population, with the rate of increase slowing by 2018. Risks vary across occupational types, among which blue- collar workers report lower target outcomes. Targeted interventions focusing on the rapidly increasing risk factors and high-risk occupational groups are recommended.

Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of 34519 employed adults aged 18–59 years from nine waves of the China Health and Nutrition Survey in1993, 1997, 2000, 2004, 2006, 2009, 2011, 2015, and 2018 were included. Obesity types were determined according to the Chinese Adult Weight Management Guidelines. The Joinpoint regression model was used to calculate the average annual percentage change (AAPC) and annual percentage change (APC) of compound obesity rates. Results From 1993 to 2018, the age-standardized compound obesity rate among the occupational population aged 18–59 years showed an upward trend (AAPC=6.24%, 95%CI: 5.09%, 7.41%, P<0.05). The AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 9.55% (7.51%, 11.64%), 6.18% (4.70%, 7.69%), 5.53% (2.27%, 8.90%), 4.07% (2.40%, 5.77%), and 3.89% (2.16%, 5.65%), respectively, with statistically significant differences (P<0.05). Among males, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 11.52% (7.71%, 15.47%), 7.28% (6.18%, 8.40%), 5.92% (2.28%, 9.69%), 5.56% (2.11%, 9.12%), and 4.22% (2.33%, 6.15%), respectively, with statistically significant differences (P<0.05). Among females, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, and white-collar workers were 7.45% (6.22%, 8.69%), 3.72% (0.84%, 6.67%), and 2.41% (0.17%, 4.70%), respectively, with statistically significant differences (P<0.05). A turning point was observed in the compound obesity rate among female white-collar workers in 2006, with an APC (95%CI) of 9.69% (5.24%, 14.33%) from 2006 to 2008, showing a statistically significant difference (P<0.05), while no significant trend was found from 1993 to 2006 (P>0.05). No significant trends were observed in the age-standardized compound obesity rates among females in other occupational groups and service workers (P>0.05). Conclusion The compound obesity rate among China's occupational population is increasing rapidly, with the growth rate among agricultural workers being particularly prominent. In 2018, male white-collar workers and female agricultural workers exhibit relatively high compound obesity rates, warranting focused attention. Although the overall growth rate among service workers is slower, the expanding workforce in this sector indicates that obesity remains a serious issue. Targeted occupational health and weight management interventions are needed in the future.

Background With rising obesity rates and earlier hypertension onset among occupational populations, there is an urgent need to elucidate the long-term cardiovascular impacts of dynamic body weight patterns. Current evidence lacks trajectory modeling studies examining occupation-specific prevention strategies. Objective To investigate the association between long-term body mass index (BMI) trajectories and incident hypertension risk in Chinese working adults, and to examine occupation-specific heterogeneity in this relationship. Methods A dynamic sub-cohort of 4 413 occupational participants was constructed from ten survey waves (1991–2018) of the China Health and Nutrition Survey (CHNS). Eligible individuals had valid key BMI records at three or more independent follow-ups before the outcome event; the individual baseline was set as the year of their first participation in the survey. Group-based trajectory modeling (GBTM) was used to identify BMI change patterns. Cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence interval (CI) for hypertension incidence across trajectory groups, with stratified analysis by occupational categories. Results Among 4413 occupational participants, 1441 incident hypertension cases were reported during the follow-up window. Three long-term BMI trajectories were identified: low-stable, moderate-slowly rising, and high-rising. In Model 3 with all selected confounders adjusted, compared with the low-stable group, the moderate-slowly rising group showed a significantly higher risk of incident hypertension (HR=1.28, 95%CI: 1.12, 1.45; P < 0.001), as did the high-increasing group (HR=1.80, 95%CI: 1.45, 2.23; P < 0.001). The stratified analyses revealed occupational differences in the association. Among agricultural workers, the moderate-slowly rising group (HR=1.35, 95%CI: 1.15, 1.57) and the high-rising group (HR=2.00, 95%CI: 1.50, 2.66) both exhibited significantly increased risks of hypertension (P<0.001). Conversely, among white-collar workers, an increased risk of hypertension was observed only in the high-rising group (HR=1.97, 95%CI: 1.23, 3.17; P<0.05). Conclusion Rapid BMI escalation constitutes a significant risk factor for incident hypertension in occupational populations. Targeted long-term weight monitoring and tailored interventions are recommended for high-risk occupations.

BACKGROUND:Knee finite element modelling can provide insight into knee mechanics,but its complex image segmentation is more difficult for researchers.With the development of deep learning techniques,deep learning techniques have been widely used in knee joint finite element modelling.OBJECTIVE:To replace the manual segmentation step in finite element modelling of the knee joint by using 3D Swin UNETR in combination with a semi-automatic segmentation technique for statistical shape models.METHODS:Manual(artificial)knee joint finite element model was developed based on MR and semi-automatic knee joint finite element model was developed based on 3D Swin UNETR+statistical shape model segmentation.The same loads and boundary conditions were applied to both models.Validation was performed by calculating the Dice similarity coefficient,mean distance,and comparing the peak equivalent stresses,maximum principal stresses,and maximum shear stresses of the two models.RESULTS AND CONCLUSION:(1)The Dice similarity coefficients of the manual and semi-automatic segmented femur and tibia were more than 98％,and the average distances were less than or equal to(0.35±0.08)mm.(2)With the longitudinal load of 750 N and 10 Nm internal overturning moment applied to the femur tip of both manual and semi-automatic finite element models,the peak equivalent stress,maximum principal stress,and maximum shear stresses of meniscus in manual finite element model were 14.12,18.54,and 7.35 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.22,2.15,and 1.18 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of tibial cartilage were 2.50,1.91,and 1.41 MPa;semi-automatic finite element model of meniscus:peak equivalent force,maximum principal stress,and maximum shear stress were 14.93,18.53,and 7.75 MPa.The peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.26,2.18,and 1.20 MPa;the peak equivalent stress,maximum principal stress,and maximum shear stress of tibial cartilage were 2.60,1.91,and 1.46 MPa.The peak equivalent stress,maximum principal stress,and maximum shear stress of manual and semi-automatic finite element models were basically consistent,with no significant difference(P＞0.05).(3)The semi-automatic segmentation technique proposed in this study can replace manual segmentation in creating accurate finite element models of the knee joint.

Objective Based on the phosphatidylinositol kinase(PI3K)/protein kinase B(AKT)pathway and M2 polarization of macrophages,the effects of polydatin on malignant phenotype of osteosarcoma cells were investigated.Methods The macrophages were divided into M0 group,M2 group,polydatin group,and polydatin+PI3K pathway agonist 740Y-P group.The expression of arginase-1(Arg-1)and CD206 mRNAs and proteins in macrophages were detected by RT-qPCR and Western blot.Western blot was used to detect p-PI3K/PI3K and p-AKT/AKT protein expression in macrophages.The osteosarcoma cells MG-63 were divided into control group,control group(RPMI-1640 medium culture),CM-M0 group(M0 group M0 macrophage supernatant is collected for osteosarcoma cells),CM-M2 group(M2 group M2 macrophage supernatant is collected for osteosarcoma cells),CM-polydatin group(M2 macrophage supernatant in the polydatin group was collected on osteosarcoma cells),and CM-polydatin+740Y-P group(M2 macrophage supernatant was collected on osteosarcoma cells in the CM-polydatin+740Y-P group).Edu staining assay was used to detect the proliferation of MG-63 cells.Scratches and Transwell assays were used to detect the migration and invasion of MG-63 cells.Results Compared with the M0 group,the Arg-1,CD206,IL-10,p-PI3K/PI3K,p-AKT/AKT increased in the M2 group significantly(P<0.05).Compared with the M2 group,the Arg-1,CD206,IL-10,p-PI3K/PI3K,p-AKT/AKT decreased in the polydatin group significantly(P<0.05).Compared with the polydatin group,the Arg-1,CD206,IL-10,p-PI3K/PI3K,p-AKT/AKT increased in the polydatin+740Y-P group significantly(P<0.05).Compared with the CM-M0 group,the proportion of Edu-positive cells in the CM-M2 group increased significantly(P<0.05),and MG-63 cell migration and invasion rates increased significantly(P<0.05).Compared with the CM-M2 group,the proportion of Edu-positive cells in the CM-polydatin group decreased significantly(P<0.05),and MG-63 cell migration and invasion rates decreased significantly(P<0.05).Compared with the CM-polydatin group,the proportion of Edu-positive cells in the CM-polydatin+740Y-P group increased significantly(P<0.05),and MG-63 cell migration and invasion rates increased significantly(P<0.05).Conclusion Polygonum cuspidatum can inhibit the proliferation,migration and invasion of osteosarcoma cells by inhibiting the M2 polarization of macrophages,and its mechanism may be related to the inhibition of PI3K/AKT signaling pathway.

Vaccination is one of the most cost-effective measures for preventing and controlling infectious diseases.In recent years, there has been a growing public demand for knowledge about vaccines and vaccine-preventable diseases, which has placed higher requirements on the capacity and quality of immunization services. However, "vaccine hesitancy" has become an increasingly prominent issue. In 2019, the World Health Organization (WHO) listed it as one of the top ten global health threats, and it is gradually becoming a major challenge for immunization programs worldwide. Therefore, current immunization programs need to actively innovate in publicity and communication strategies to enhance public willingness for voluntary vaccination, improve awareness and trust in vaccines, and further reinforce the understanding of their critical role in infectious disease prevention and control. This paper examines the challenges and circumstances faced by vaccination publicity and communication in the new era, and proposes relevant recommendations, aiming to provide reference for developing new models of publicity and communication.

BACKGROUND:Knee finite element modelling can provide insight into knee mechanics,but its complex image segmentation is more difficult for researchers.With the development of deep learning techniques,deep learning techniques have been widely used in knee joint finite element modelling.OBJECTIVE:To replace the manual segmentation step in finite element modelling of the knee joint by using 3D Swin UNETR in combination with a semi-automatic segmentation technique for statistical shape models.METHODS:Manual(artificial)knee joint finite element model was developed based on MR and semi-automatic knee joint finite element model was developed based on 3D Swin UNETR+statistical shape model segmentation.The same loads and boundary conditions were applied to both models.Validation was performed by calculating the Dice similarity coefficient,mean distance,and comparing the peak equivalent stresses,maximum principal stresses,and maximum shear stresses of the two models.RESULTS AND CONCLUSION:(1)The Dice similarity coefficients of the manual and semi-automatic segmented femur and tibia were more than 98％,and the average distances were less than or equal to(0.35±0.08)mm.(2)With the longitudinal load of 750 N and 10 Nm internal overturning moment applied to the femur tip of both manual and semi-automatic finite element models,the peak equivalent stress,maximum principal stress,and maximum shear stresses of meniscus in manual finite element model were 14.12,18.54,and 7.35 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.22,2.15,and 1.18 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of tibial cartilage were 2.50,1.91,and 1.41 MPa;semi-automatic finite element model of meniscus:peak equivalent force,maximum principal stress,and maximum shear stress were 14.93,18.53,and 7.75 MPa.The peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.26,2.18,and 1.20 MPa;the peak equivalent stress,maximum principal stress,and maximum shear stress of tibial cartilage were 2.60,1.91,and 1.46 MPa.The peak equivalent stress,maximum principal stress,and maximum shear stress of manual and semi-automatic finite element models were basically consistent,with no significant difference(P＞0.05).(3)The semi-automatic segmentation technique proposed in this study can replace manual segmentation in creating accurate finite element models of the knee joint.

Objective:To research on the teaching effect of constructing and applying the test bank of Medical Immunology.Methods:A total of 475 students from Hainan Medical College in 2019 were set as the experimental group,the test bank was used in the teaching process,and 463 students from 2018 were set as the control group.The correlation between the test bank and final test scores of students of the two grades were analyzed and compared.Results:The final paper scores of grade 2019 students were not higher than those of grade 2018(P>0.05),the score distribution,average score,minimum score and pass rate of the 2019 grade were better than those of the 2018 grade(P<0.05).The experimental group had a significantly better learning effect on Medical Immunology than the control group(P<0.05).Conclusion:The construction and application of Medical Immunology test bank can improve students'learning effect.

Objective Based on the phosphatidylinositol kinase(PI3K)/protein kinase B(AKT)pathway and M2 polarization of macrophages,the effects of polydatin on malignant phenotype of osteosarcoma cells were investigated.Methods The macrophages were divided into M0 group,M2 group,polydatin group,and polydatin+PI3K pathway agonist 740Y-P group.The expression of arginase-1(Arg-1)and CD206 mRNAs and proteins in macrophages were detected by RT-qPCR and Western blot.Western blot was used to detect p-PI3K/PI3K and p-AKT/AKT protein expression in macrophages.The osteosarcoma cells MG-63 were divided into control group,control group(RPMI-1640 medium culture),CM-M0 group(M0 group M0 macrophage supernatant is collected for osteosarcoma cells),CM-M2 group(M2 group M2 macrophage supernatant is collected for osteosarcoma cells),CM-polydatin group(M2 macrophage supernatant in the polydatin group was collected on osteosarcoma cells),and CM-polydatin+740Y-P group(M2 macrophage supernatant was collected on osteosarcoma cells in the CM-polydatin+740Y-P group).Edu staining assay was used to detect the proliferation of MG-63 cells.Scratches and Transwell assays were used to detect the migration and invasion of MG-63 cells.Results Compared with the M0 group,the Arg-1,CD206,IL-10,p-PI3K/PI3K,p-AKT/AKT increased in the M2 group significantly(P<0.05).Compared with the M2 group,the Arg-1,CD206,IL-10,p-PI3K/PI3K,p-AKT/AKT decreased in the polydatin group significantly(P<0.05).Compared with the polydatin group,the Arg-1,CD206,IL-10,p-PI3K/PI3K,p-AKT/AKT increased in the polydatin+740Y-P group significantly(P<0.05).Compared with the CM-M0 group,the proportion of Edu-positive cells in the CM-M2 group increased significantly(P<0.05),and MG-63 cell migration and invasion rates increased significantly(P<0.05).Compared with the CM-M2 group,the proportion of Edu-positive cells in the CM-polydatin group decreased significantly(P<0.05),and MG-63 cell migration and invasion rates decreased significantly(P<0.05).Compared with the CM-polydatin group,the proportion of Edu-positive cells in the CM-polydatin+740Y-P group increased significantly(P<0.05),and MG-63 cell migration and invasion rates increased significantly(P<0.05).Conclusion Polygonum cuspidatum can inhibit the proliferation,migration and invasion of osteosarcoma cells by inhibiting the M2 polarization of macrophages,and its mechanism may be related to the inhibition of PI3K/AKT signaling pathway.