Objective:To compare the diagnostic efficacy of 18F-fibroblast activation protein inhibitor (FAPI)-42 PET/CT and 18F-FDG PET/CT for bone metastasis in patients with malignant tumors. Methods:From January 2022 to October 2023, the data of 238 patients (160 males, 78 females; age: 58(50, 66) years) with various malignant tumors who underwent both 18F-FAPI-42 and 18F-FDG PET/CT imaging at Nanfang Hospital, Southern Medical University were retrospectively reviewed. An abnormal focal radioactive uptake in bones on the PET images was considered as positive lesion for bone metastasis. The efficacy of 2imaging methods and the supplementary role of CT in the diagnosis of bone metastasis were evaluated by McNemar test. Results:Of 238 patients, 95 were with bone metastases and 143 were without bone metastases, including 436 lesions with bone metastases and 358 lesions without bone metastases. Based on the visual analysis, 18F-FAPI-42 PET showed a higher diagnostic sensitivity than 18F-FDG PET (98.4%(429/436) vs 86.5%(377/436); χ2=41.95, P<0.001), while 18F-FDG PET had a higher diagnostic specificity than 18F-FAPI-42 PET (83.2%(298/358) vs 70.4%(252/358); χ2=22.50, P<0.001), and the accuracies of both methods were similar (85.8%(681/794) vs 85.0%(675/794); χ2=0.16, P=0.685). However, when the positive lesions seen in PET were analyzed combined with the image features on CT by the same scanner, the diagnostic specificity of 18F-FAPI-42 PET/CT was significantly improved compared to that of 18F-FAPI-42 PET alone (91.3%(327/358) vs 70.4%(252/358); χ2=73.01, P<0.001), and was similar to 18F-FDG PET/CT (93.0%(333/358); χ2=0.78, P=0.377). Meanwhile, this combined analysis brought a higher sensitivity and accuracy of 18F-FAPI-42 PET/CT than 18F-FDG PET/CT in diagnosing bone metastases (sensitivity: 98.4%(429/436) vs 86.5%(377/436); χ2=41.95, P<0.001; accuracy: 95.2%(756/794) vs 89.4%(710/794); χ2=21.54, P<0.001). Conclusions:The diagnostic sensitivity of 18F-FAPI-42 PET for bone metastasis is superior to 18F-FDG PET, but the specificity is lower. However, when CT features is combined for analysis, the diagnostic specificity of 18F-FAPI-42 PET/CT is significantly improved, which thus can be used to diagnose bone metastasis accurately and is superior to 18F-FDG PET/CT.

This study utilized data from the non-communicable diseases (NCDs) Progress Monitor Reports (2015, 2017, 2020, 2022) released by World Health Organization (WHO) to analyze the implementation of NCDs prevention and control policies in China from 2014 to 2021 through descriptive statistical method, aiming to provide evidence for strengthening national NCDs strategies. The analysis focuses on WHO-recommended ‘best buys’ policies for NCDs prevention and control, covering 10 categories (18 interventions): national NCDs targets, mortality data, risk factor surveys, national integrated NCDs policies/strategies/action plans, tobacco demand-reduction measures, harmful use of alcohol reduction measures, unhealthy diet reduction policies, physical activity campaigns, national clinical guidelines for cancer/CVD/diabetes/CRD management, and drug therapy/counselling for cardiovascular diseases. In accordance with the WHO′s NCDs progress monitor scoring methodology, policies are assigned 1.0 point for full implementation, 0.5 points for partial implementation, and 0 points for non-implementation or missing data, with a maximum total score of 18.0 points. The analytical metrics encompass the policy implementation score, implementation rate, and period-on-period implementation growth rate. The results showed that China′s total policy implementation scores for NCDs prevention and control in 2014, 2016, 2019, and 2021 were consistently higher than the global average (8.5, 10.5, 9.5, 9.5 vs 6.7, 8.3, 8.6, 8.6). From 2014 to 2021, the total score increased by 1.0 point, and the implementation rate improved by 8.9%. From 2014 to 2016, China′s total policy implementation score rose from 8.5 to 10.5, primarily driven by improvements in tobacco tax increases and unhealthy diet reduction measures (salt reduction, restrictions on high-fat foods, and regulation of breast-milk substitute sales). However, this progress was partially offset by a decline in scores for physical activity campaigns. From 2016 to 2019, the total score decreased to 9.5, largely due to lower scores in harmful use of alcohol reduction measures (alcohol taxation and advertising bans). From 2019 to 2021, the total score remained stable, with increases in marketing to children restrictions balanced by declines in scores for drug therapy/counselling for cardiovascular diseases. In 2021, China′s total policy implementation score (9.5) exceeded the global average (8.6) but fell below the G20 average (11.2). Significant gaps remained compared to top-performing G20 countries such as Turkey (16.5), particularly in tobacco control and restrictions on harmful alcohol use. In conclusion, from 2014 to 2021, China′s total policy implementation score for NCDs prevention and control consistently exceeded the global average, demonstrating an upward trend, and various NCDs prevention and control policies have been continuously improved.

Objective:To compare the diagnostic efficacy of 18F-fibroblast activation protein inhibitor (FAPI)-42 PET/CT and 18F-FDG PET/CT for bone metastasis in patients with malignant tumors. Methods:From January 2022 to October 2023, the data of 238 patients (160 males, 78 females; age: 58(50, 66) years) with various malignant tumors who underwent both 18F-FAPI-42 and 18F-FDG PET/CT imaging at Nanfang Hospital, Southern Medical University were retrospectively reviewed. An abnormal focal radioactive uptake in bones on the PET images was considered as positive lesion for bone metastasis. The efficacy of 2imaging methods and the supplementary role of CT in the diagnosis of bone metastasis were evaluated by McNemar test. Results:Of 238 patients, 95 were with bone metastases and 143 were without bone metastases, including 436 lesions with bone metastases and 358 lesions without bone metastases. Based on the visual analysis, 18F-FAPI-42 PET showed a higher diagnostic sensitivity than 18F-FDG PET (98.4%(429/436) vs 86.5%(377/436); χ2=41.95, P<0.001), while 18F-FDG PET had a higher diagnostic specificity than 18F-FAPI-42 PET (83.2%(298/358) vs 70.4%(252/358); χ2=22.50, P<0.001), and the accuracies of both methods were similar (85.8%(681/794) vs 85.0%(675/794); χ2=0.16, P=0.685). However, when the positive lesions seen in PET were analyzed combined with the image features on CT by the same scanner, the diagnostic specificity of 18F-FAPI-42 PET/CT was significantly improved compared to that of 18F-FAPI-42 PET alone (91.3%(327/358) vs 70.4%(252/358); χ2=73.01, P<0.001), and was similar to 18F-FDG PET/CT (93.0%(333/358); χ2=0.78, P=0.377). Meanwhile, this combined analysis brought a higher sensitivity and accuracy of 18F-FAPI-42 PET/CT than 18F-FDG PET/CT in diagnosing bone metastases (sensitivity: 98.4%(429/436) vs 86.5%(377/436); χ2=41.95, P<0.001; accuracy: 95.2%(756/794) vs 89.4%(710/794); χ2=21.54, P<0.001). Conclusions:The diagnostic sensitivity of 18F-FAPI-42 PET for bone metastasis is superior to 18F-FDG PET, but the specificity is lower. However, when CT features is combined for analysis, the diagnostic specificity of 18F-FAPI-42 PET/CT is significantly improved, which thus can be used to diagnose bone metastasis accurately and is superior to 18F-FDG PET/CT.

This study utilized data from the non-communicable diseases (NCDs) Progress Monitor Reports (2015, 2017, 2020, 2022) released by World Health Organization (WHO) to analyze the implementation of NCDs prevention and control policies in China from 2014 to 2021 through descriptive statistical method, aiming to provide evidence for strengthening national NCDs strategies. The analysis focuses on WHO-recommended ‘best buys’ policies for NCDs prevention and control, covering 10 categories (18 interventions): national NCDs targets, mortality data, risk factor surveys, national integrated NCDs policies/strategies/action plans, tobacco demand-reduction measures, harmful use of alcohol reduction measures, unhealthy diet reduction policies, physical activity campaigns, national clinical guidelines for cancer/CVD/diabetes/CRD management, and drug therapy/counselling for cardiovascular diseases. In accordance with the WHO′s NCDs progress monitor scoring methodology, policies are assigned 1.0 point for full implementation, 0.5 points for partial implementation, and 0 points for non-implementation or missing data, with a maximum total score of 18.0 points. The analytical metrics encompass the policy implementation score, implementation rate, and period-on-period implementation growth rate. The results showed that China′s total policy implementation scores for NCDs prevention and control in 2014, 2016, 2019, and 2021 were consistently higher than the global average (8.5, 10.5, 9.5, 9.5 vs 6.7, 8.3, 8.6, 8.6). From 2014 to 2021, the total score increased by 1.0 point, and the implementation rate improved by 8.9%. From 2014 to 2016, China′s total policy implementation score rose from 8.5 to 10.5, primarily driven by improvements in tobacco tax increases and unhealthy diet reduction measures (salt reduction, restrictions on high-fat foods, and regulation of breast-milk substitute sales). However, this progress was partially offset by a decline in scores for physical activity campaigns. From 2016 to 2019, the total score decreased to 9.5, largely due to lower scores in harmful use of alcohol reduction measures (alcohol taxation and advertising bans). From 2019 to 2021, the total score remained stable, with increases in marketing to children restrictions balanced by declines in scores for drug therapy/counselling for cardiovascular diseases. In 2021, China′s total policy implementation score (9.5) exceeded the global average (8.6) but fell below the G20 average (11.2). Significant gaps remained compared to top-performing G20 countries such as Turkey (16.5), particularly in tobacco control and restrictions on harmful alcohol use. In conclusion, from 2014 to 2021, China′s total policy implementation score for NCDs prevention and control consistently exceeded the global average, demonstrating an upward trend, and various NCDs prevention and control policies have been continuously improved.

Objective:To explore the relationship between 18F-fibroblast activation protein inhibitor (FAPI)-42 SUV max of primary gastric cancer and clinicopathological factors of patients. Methods:Fifty-one patients (31males, 20 females, age: 51(47, 65) years) with gastric cancer who underwent 18F-FAPI-42 PET/CT before surgical resection in Nanfang Hospital, Southern Medical University from February 2022 to January 2023 were analyzed retrospectively. The clinicopathological factors that might affect tumor SUV max (including gender, age, tumor location, pathological type, histological grade, Lauren classification, vascular and(or) neural invasion, programmed cell death-ligand 1 (PD-L1) expression, pathologic(p)T stage, pN stage and pTNM stage) were evaluated by the univariate analysis (Mann-Whitney U test or Kruskal-Wallis rank sum test) and multivariate analysis (multiple linear regression analysis). Results:The sensitivity of 18F-FAPI-42 PET/CT in the diagnosis of patients with primary gastric cancer was 82.35% (42/51). The diagnostic sensitivities for early gastric cancer (T1) and locally advanced gastric cancer (T2-T4) were 59.09%(13/22) and 100%(29/29), respectively. The SUV max of primary lesion was 4.90(1.71, 12.51). The univariate analysis showed that SUV max of primary gastric cancer was related to tumor location ( z=-2.00, P=0.046), pT stage ( H=36.94, P<0.001), pN stage ( z=-3.89, P<0.001), pTNM stage ( H=31.49, P<0.001) and vascular and(or) nerve invasion ( z=-5.22, P<0.001), but not related to pathological type, histological grade, Lauren typing, and PD-L1 expression ( z values: from -1.78 to -0.09, all P>0.05). pT stage was found to be a significant independent factor for SUV max in primary gastric lesion by multivariate analysis ( t=2.52, P=0.015). Conclusions:The 18F-FAPI-42 SUV max of primary tumor was related to tumor location, pT stage, pN stage, pTNM stage, and vascular and(or) nerve invasion; pT stage is an independent factor affecting tumor SUV max. The ability of 18F-FAPI-42 PET/CT to detect gastric cancer is mainly affected by pT stage.

Objective:To investigate the status of satisfaction of postgraduates majoring in public health with the teaching material of The prevention and control of chronic non- communicable disease, so as to provide the basis for promoting the teaching and optimizing the reprint of the teaching material. Methods:An online survey was conducted among 180 public health postgraduates of Batch 2018 to Batch 2020 from China CDC who took the selective course of "prevention and control of chronic non-communicable diseases". The survey content included the overall satisfaction of the respondents with the teaching material and such four levels of satisfaction as primary indicators at the content level, thinking level, motivation level and arrangement level and 20 secondary indicators. The statistical analysis was made by SPSS 25.0.Results:The effective response rate was 90.56% (163/180), and the overall satisfaction of postgraduates with the teaching material was 88.96%. The satisfaction of "scientificity", "comprehensiveness", "internal coordination" and "hierarchy" at the content level, "systematic thinking" and "quality education" at the thinking level, "deepening the understanding and application of relevant knowledge in the field of chronic disease prevention and control" and "the content is convenient for self-study and helps guide the construction of new knowledge" at the motivation level, and "accurate words, fluent language and easy to read and understand" and "firm binding, good paper quality and clear printing" at the arrangement level of the teaching material was more than 90.00%. Only the satisfaction of "the critical thinking" at the thinking level and "stimulating learning enthusiasm" at the motivation level was less than 85.00%.Conclusion:The teaching material of The prevention and control of chronic non- communicable disease meets the learning needs of postgraduates majoring in public health, and students have high overall satisfaction evaluation on the teaching material. It is necessary to further optimize the two aspects of "the critical thinking" and "stimulating learning enthusiasm" in the revision of the teaching material.

Objective:To analyze the changes in self-efficacy and its influencing factors in type 2 diabetic patients after community-based self-management group intervention.Methods:From August to November 2014, a 3-month community-based self-management intervention study of type 2 diabetes patients was implemented in Fangshan District, Beijing. 510 patients were recruited through posters, household inquiries and telephone notification and then were randomly divided into intervention group (260 patients) and control group (250 patients). Finally, 500 patients completed the study, including 259 in the intervention group and 241 in the control group. Self-efficacy score was measured through face-to-face interview at different time points, including pre-intervention, post-intervention, 2 years after the intervention and 5 years after the intervention, respectively. A two-level random coefficient model was fitted to analyze the long-term trend of self-efficacy and its relationship with group intervention.Results:Individual-level educational attainment, disease duration as well as their treatment plans had a positive correlation with self-efficacy of type 2 diabetic patients while gender and age did not affect their self-efficacy. Patients with junior middle school education, senior high school education and university and above education had 4.66 ( P<0.05), 6.40 ( P<0.05) and 11.02 ( P<0.05) points higher than those with primary education, respectively. The self-efficacy of diabetic patients increased by 0.23 ( P<0.05) for each additional course year. The effect of treatment plan on self-efficacy was mainly reflected in the self-efficacy of taking medication or insulin injection as prescribed and blood glucose monitoring. After controlling for the confounding factors, i.e., gender, age, disease duration, educational attainment, and treatment plan, self-efficacy scores at the post-intervention increased in both groups compared to those at the pre-intervention. The intervention group had 7.95 points higher than the control group ( P<0.05). After the intervention, the self-efficacy scores of both groups decreased year by year while the intervention group declined faster, with 5.41 points ( P<0.05) at 2 years after the intervention and 8.94 points ( P<0.05) at 5 years after the intervention. Conclusion:Community-based self-management group intervention could improve the self-efficacy of type 2 diabetic patients while the self-efficacy decreases year by year in the absence of follow-up intervention.

Objective:To determine the priority of diabetes prevention and control measures in the perspective of the economy and importance, and provide theoretical support for guiding relevant departments to implement measures based on actual economic level.Methods:An online survey was conducted on the importance, feasibility and implementation of major chronic disease prevention and control measures in 488 national demonstration areas for comprehensive chronic disease prevention and control. The content of the survey was divided into individual and group levels, with 10 dimensions and 44 measures, to obtain the scores of the economy and importance. IPA model was used to divide the dimension index of diabetes prevention and control into quadrants. The standardized factor load coefficient of the second-order confirmatory factor analysis was used to determine the priority of dimension index in the same quadrant. The priority of prevention and control measures in each dimension was determined by the discriminant parameter of project response theory.Results:The mean scores of economy and importance were 66.50 and 89.94, respectively, and the matrix was divided into four quadrants. The first quadrant was the "highest priority" with high importance and economy, including medical insurance and family doctors, health education, high-risk detection and intervention, patient management and community action. The second quadrant was characterized as high importance but low economy, which was the priority for improvement, including only one dimension of complication screening. The third quadrant was the lowest priority due to low importance and economy, including personal health service evaluation and follow-up, environmental support, diabetes co-infection prevention and glycemic policy. The last quadrant had low importance but high economy, which was the second improvement level. The priority measures in different quadrants were: (1) the highest priority: blood lipid control, occupational site, prevention and control work plan, blood glucose testing, family doctor contract service; (2) the priority improvement: annual neuropathy screening; (3)the lowest priority: universal access to risk scoring, healthy eating, healthy dining innovations and tuberculosis screening.Conclusion:IPA model can be used to construct a decision-making model for diabetes prevention and control and determine the priority of corresponding measures.

Objective:To analyze the changes in self-efficacy and its influencing factors in type 2 diabetic patients after community-based self-management group intervention.Methods:From August to November 2014, a 3-month community-based self-management intervention study of type 2 diabetes patients was implemented in Fangshan District, Beijing. 510 patients were recruited through posters, household inquiries and telephone notification and then were randomly divided into intervention group (260 patients) and control group (250 patients). Finally, 500 patients completed the study, including 259 in the intervention group and 241 in the control group. Self-efficacy score was measured through face-to-face interview at different time points, including pre-intervention, post-intervention, 2 years after the intervention and 5 years after the intervention, respectively. A two-level random coefficient model was fitted to analyze the long-term trend of self-efficacy and its relationship with group intervention.Results:Individual-level educational attainment, disease duration as well as their treatment plans had a positive correlation with self-efficacy of type 2 diabetic patients while gender and age did not affect their self-efficacy. Patients with junior middle school education, senior high school education and university and above education had 4.66 ( P<0.05), 6.40 ( P<0.05) and 11.02 ( P<0.05) points higher than those with primary education, respectively. The self-efficacy of diabetic patients increased by 0.23 ( P<0.05) for each additional course year. The effect of treatment plan on self-efficacy was mainly reflected in the self-efficacy of taking medication or insulin injection as prescribed and blood glucose monitoring. After controlling for the confounding factors, i.e., gender, age, disease duration, educational attainment, and treatment plan, self-efficacy scores at the post-intervention increased in both groups compared to those at the pre-intervention. The intervention group had 7.95 points higher than the control group ( P<0.05). After the intervention, the self-efficacy scores of both groups decreased year by year while the intervention group declined faster, with 5.41 points ( P<0.05) at 2 years after the intervention and 8.94 points ( P<0.05) at 5 years after the intervention. Conclusion:Community-based self-management group intervention could improve the self-efficacy of type 2 diabetic patients while the self-efficacy decreases year by year in the absence of follow-up intervention.

Objective:To determine the priority of diabetes prevention and control measures in the perspective of the economy and importance, and provide theoretical support for guiding relevant departments to implement measures based on actual economic level.Methods:An online survey was conducted on the importance, feasibility and implementation of major chronic disease prevention and control measures in 488 national demonstration areas for comprehensive chronic disease prevention and control. The content of the survey was divided into individual and group levels, with 10 dimensions and 44 measures, to obtain the scores of the economy and importance. IPA model was used to divide the dimension index of diabetes prevention and control into quadrants. The standardized factor load coefficient of the second-order confirmatory factor analysis was used to determine the priority of dimension index in the same quadrant. The priority of prevention and control measures in each dimension was determined by the discriminant parameter of project response theory.Results:The mean scores of economy and importance were 66.50 and 89.94, respectively, and the matrix was divided into four quadrants. The first quadrant was the "highest priority" with high importance and economy, including medical insurance and family doctors, health education, high-risk detection and intervention, patient management and community action. The second quadrant was characterized as high importance but low economy, which was the priority for improvement, including only one dimension of complication screening. The third quadrant was the lowest priority due to low importance and economy, including personal health service evaluation and follow-up, environmental support, diabetes co-infection prevention and glycemic policy. The last quadrant had low importance but high economy, which was the second improvement level. The priority measures in different quadrants were: (1) the highest priority: blood lipid control, occupational site, prevention and control work plan, blood glucose testing, family doctor contract service; (2) the priority improvement: annual neuropathy screening; (3)the lowest priority: universal access to risk scoring, healthy eating, healthy dining innovations and tuberculosis screening.Conclusion:IPA model can be used to construct a decision-making model for diabetes prevention and control and determine the priority of corresponding measures.