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 predicate whether China can achieve the United Nations Sustainable Development Goals (SDGs) 3.4.1 to reduce the age-standardized mortality rate of four major non-communicable diseases (NCDs) in residents aged 30-70 years by 2030 based on the trend of the mortality from 1990 to 2019.Methods:We collected the mortality data on cardiovascular diseases, cancers, chronic respiratory diseases, and diabetes by age, gender and year in China from the Global Disease Burden Study 2019 (GBD2019). The age-period-cohort (APC) Bayesian model was applied for modeling the age-standardized mortality rate of four major NCDs in China during 2020-2030 according to the trend of the mortality during 1990-2019, and comparing the predicted value in 2030 with the observed value in 2015 to evaluate the possibility of achieving SDGs 3.4.1.Results:The age-standardized mortality rate of the four major NCDs in China showed a downward trend during 1990-2019. It is predicted that the number of death of the four NCDs in Chinese residents aged 30-70 years would increase from 2.96 million in 2020 to 3.19 million in 2030, while the age-standardized mortality rate would decrease from 308.49/100 000 in 2020 to 277.80/100 000 in 2030. The age-standardized mortality rate in 2030 would only decrease by 15.94% (18.73% for males and 14.31% for females) compared with 330.46/100 000 in 2015, with a 25.09% decrease for cardiovascular diseases, 4.76% for cancers, 37.21% for chronic respiratory diseases, and unchanged for diabetes.Conclusion:Although the age-standardized mortality rate of four major NCDs declined from 1990 to 2019 in China, it is difficult to achieve the SDGs of a 1/3 mortality rate reduction by 2030 according to the current declining trend, suggesting more active and effective efforts for NCD prevention and control are needed.

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.

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 mortality level and trend of chronic and non-communicable diseases (NCDs) among elderly residents aged 65 and over in China from 2004 to 2018, and predict the age-standardized mortality rate of NCDs from 2019 to 2023.Methods:Data on resident death was collected from the National Mortality Surveillance data set and used to analyze the unstandardized mortality rates, age-standardized mortality rates, composition ratios and changing trends of NCDs among different genders, urban and rural areas, and geographical regions in China during 2004 to 2018. The age-standardized mortality rates were calculated based on the Year 2010 Population Census of China. The Joinpoint Regression Models were fitted by the weighted least squares method. The average annual percent change (AAPC) and its 95% confidence interval for the entire time period were calculated. Log-linear models were used to predict age-standardized mortality rates.Results:From 2004 to 2018, the age-standardized mortality rates of NCDs decreased from 4 697.05 per 100 000 to 3 555.35 per 100 000, with an average annual decline of 2.0% (95% CI: -2.7%- -1.3%). The age-standardized mortality rates among different genders, urban and rural areas, and regions showed a downward trend. The age-standardized mortality rates of eastern region (AAPC = -2.1%, 95% CI: -2.8%- -1.3%) and central region (AAPC = -2.8%, 95% CI: -3.4%- -2.1%) fell faster than that of western region (AAPC = -0.8%, 95% CI: -1.8%-0.2%). The proportion of deaths caused by NCDs increased from 89.82% to 91.41%, with an average annual increase of 0.1% (95% CI: 0.1%-0.2%). Expected to 2023, the age-standardized mortality rates for male (3 906.23 per 100 000) will be significantly higher than female's (2 708.43 per 100 000); and that in rural areas (3 283.20 per 100 000) will be approximately equal to that in urban areas (3 250.01 per 100 000); the gap of age-standardized mortality rate between the western (3 782.48 per 100 000), eastern (3 037.01 per 100 000), and central region (3 249.24 per 100 000) will be further increased. Conclusion:From 2004 to 2018, age-standardized mortality rates of NCDs of the elderly residents in China showed a downward trend, and the proportion of deaths of NCDs showed an upward trend. Male and the western region elderly residents should be the key population for prevention and control of chronic diseases in the future.

Objective:To examine the effect of physical activity (PA) on the incident risk of stroke among adults aged 40 years and above.Methods:The baseline data including PA and demographic characteristics were obtained from the Adult Chronic Disease Surveillance with population representativeness in Ningbo in 2015. The follow-up data of interested health outcomes from 2015 to 2019 were retrieved from a population-based Integrated Noncommunicable Disease Collaborative Management System in Ningbo. The two databases were matched to form a queue. PA was divided into three levels of low-intensity, moderate-intensity, and vigorous-intensity according to the metabolic equivalents (METs) spent per week. Cox regression model was used to calculate the hazard ratio ( HR) and 95% confidence interval. Results:A total of 3 353 subjects were included at baseline survey in 2015. Until Dec 31, 2019, there had been 31 stroke events had occurred since then, with accumulative incidence rate of 242/100 000, and an average follow-up time of (50.28±2.54) months. When adjusted for gender, age, education level, smoking status, alcohol consumption, BMI and hypertension, multivariate Cox regression analysis showed that greater PA was associated with a 37.9% reduction of incidence of stroke ( HR=0.621,95% CI:0.393-0.983). Compared with those who had low-intensity PA, those who were with vigorous-intensity. PA appeared associated with a 63.1% decrease in the incidence of stroke ( HR=0.369, 95% CI: 0.139-0.976). However, there was no statistical significance with moderate-intensity PA ( HR=0.712,95% CI:0.323-1.569), noticed. Conclusions:Greater PA is likely to reduce the incidence of stroke. Our findings indicated that people should be encouraged to increase the PA level and developing a healthy supportive environment in the community.

Objective:To evaluate the quality of the National Demonstration Area for Comprehensive Prevention and Control of NCDs (referred to as "the Demonstration Area").Methods:Based on the evaluation scores of the Demonstration Area field survey from 2017 to 2019, we counted the scores of each indicator, comparing the scores among indicators and regions. x± s was used to describe the scores. The 95% CI of the score was used to test the statistical difference among regions. Each score was converted into a hundred-mark system to compare the scores among indicators. Results:Of 236 Demonstration Areas, the total score was 83.5. The scores of the first-level indicator listed from high to low appeared as Integrating System of NCD Prevention and Control (92.8), Policy Perfection (90.3), Building Supportive Environment for NCD Prevention and Control (88.4), Implementation of Health Education and Health Promotion (87.4), Whole-course Management of NCDs (78.1), Innovation and Guidance (76.5), Surveillance and Evaluation (75.1). Total scores were higher in the east (259.2±18.8) comparing to the middle (243.2±15.2) or the west (245.4±19.7) regions.Conclusions:Substantial variations on the quality in the Demonstration Area existed across different regions in China. These disparities are important to the government when developing health policies and allocating resources. Whole-course Management of NCDs, Surveillance and Evaluation, and Innovation and Guidance in the Demonstration Area also needs to be improved.