[Disease burden of acute viral hepatitis in Guangdong Province, 1990-2019].

Objective: To examine the burden and trends of acute viral hepatitis in Guangdong Province from 1990 to 2019, and provide reference evidences for hepatitis prevention and control in the province. Methods: Data on acute viral hepatitis (hepatitis A, B, C, and E) in Guangdong from 1990 to 2019 were extracted from the Global Burden of Disease Study 2019 database. The incidence, prevalence, mortality, and disability-adjusted life years (DALY) data were analyzed by age and gender, and the estimated annual percentage change (EAPC) was calculated to describe the changing trends in disease burden. Results: From 1999 to 2019, the standardized incidence, prevalence, mortality, and DALY of acute viral hepatitis in Guangdong were higher than the national averages. In 2019, 51.43% (2 245 087/4 365 221) of acute viral hepatitis cases in Guangdong Province were mainly attributed to hepatitis B, and 77.18% (106/138) of deaths were due to acute hepatitis B. In different age groups, except for acute hepatitis B, which was more common in adults, the incidence rates of other types of viral hepatitis such as hepatitis A, B, and E showed an overall decreasing trend with age. The mortality rates of different types of acute viral hepatitis, except for the <5 age group, increased with age. The overall incidence and mortality rates of acute viral hepatitis were higher in men than in women. Conclusions: The overall burden of acute viral hepatitis in Guangdong declined in 2019, but remained higher than the national level. Further efforts are needed to strengthen hepatitis prevention and screening in different population in Guangdong Province, especially in children and the elderly.

[Cardiovascular diseases burden attributed to low physical activity in China, 1990-2019].

Objective: To analyze the burden of cardiovascular disease (CVD) attributed to low physical activity (LPA) and its changing trends in China from 1990 to 2019. Methods: On the basis of the province results of the Study of Global Burden of Disease 2019 in China, we described the distribution of CVD death and disability-adjusted life year (DALY) attributed to LPA by sex, age and province. Joinpoint 4.9.1.0 was used to calculate the average annual percentage change. Results: In 2019, the number of CVD deaths and DALY attributed to LPA in people aged ≥25 years were 0.127 million and 1.863 million person-years in China, respectively, The age-standardized mortality rate (ASMR) and standardized DALY rate of CVD attributed to LPA were slightly higher in men than in women, and much higher in ischemic heart disease patients than in ischemic stroke patients. The ASMR (8.85/100 000) and the standardized DALY rate (112.34/100 000) of CVD attributed to LPA in China in 2019 showed no obvious change compared with 1990, while decreased in the last decade. The largest increases in the mortality rate and DALY rate were observed in people aged ≥75 years from 1990 to 2019 (26.89%, 15.61%), but the mortality rate and DALY rate in people aged 60-74 years showed a decreasing trend. The mortality rate and DALY rate in men aged 25- 44 years showed the largest increases (37.50%, 35.49%), while women aged ≥75 years had the largest increases (31.00%, 18.02%). In 2019, the highest ASMR and standardized DALY rate of CVD attributed to LPA were found in Jilin, Inner Mongolia and Hebei. The largest increases were found in Qinghai (182.41%, 154.70%), Gansu (181.29%, 152.77%), and Chongqing (132.01%, 102.79%) and the largest decreases were found in Beijing (59.11%, 62.09%), Macau (41.89%, 39.37%) and Guangdong (36.93%, 40.72%) from 1990 to 2019. Conclusion: The disease burden of CVD attributed to LPA in China was quite high and showed gender, age and area specific differences.

[Growth rate of adult obesity prevalence in China and target population for prevention and control from 2013 to 2018].

Objective: To investigate the annual growth rate of obesity prevalence of residents aged 18 and above in China and prevention keypoints for target populations from 2013 to 2018. Methods: This was a cross-sectional study. Subjects from China Chronic Disease and Risk Factor Surveillance project in 2013 and 2018 were included. The prevalence of obesity and growth rate in 31 provinces (autonomous regions and municipalities) in China were collected through survey questionnaires and on-site measurements. Other demographic data such as the proportion of obesity control measures, diet, exercise and drug use was also analyzed. Obesity among adults was defined as body mass index≥28.0 kg/m². Results: A total of 174 736 residents, aged (51.5±14.2) years, which included 74 704 (42.8%) males were recruited in 2013, and 179 125 residents, aged (55.1±13.8) years, which included 79 337 (44.3%) males were included in 2018. The average annual increase rate of adult obesity prevalence in China from 2013 to 2018 was 3.2% (uncertainty interval (UI) 2.7%-3.6%), and the average increase rate of obesity prevalence among men (5.2% (UI 4.6%-5.9%)) was higher than that of women (0.9% (UI 0.5%-1.3%)). For subgroups analysis, the average increase rate of obesity prevalence among residents aged 18 to 29 (7.4% (UI 6.9%-7.9%)), education level beyond college degree (6.3% (UI 5.5%-7.1%)), and unmarried population (11.2% (UI 10.2%-12.1%)) were higher than that of other subgroups between 2013 and 2018. The residents in Hainan province showed the highest average annual growth rate of obesity. With the exception of Shanxi, Hunan, Gansu and Ningxia province, the annual growth rate of obesity prevalence among adults increased in all other provinces (autonomous regions and municipalities) from 2013 to 2018. For the obese population, the proportion of people who took weight control measures increased from 22.6% in 2013 to 32.7% in 2018. Conclusions: The prevalence of obesity growth characteristics in subpopulations and regions in China are obviously different. Accordingly the focus points of obesity prevention and control in different regions should have their own emphasis.

[Forecasting the burden of disease from diabetes under the scenarios of specific risk factors control in China in 2030].

Objective: To forecast mortality, age-standardized mortality, and probability of premature mortality from diabetes, and to simulate the impact of controlling risk factors by 2030 in China. Methods: We simulated the burden of disease from diabetes in six scenarios according to the development goals of risk factors control by the WHO and Chinese government. Based on the theory of comparative risk assessment and the estimates of the burden of disease for China from the Global Burden of Disease Study 2015, we used the proportional change model to project the number of deaths, age-standardized mortality, and probability of premature mortality from diabetes under different scenarios of risk factors control in 2030. Results: If the trends in exposures to risk factors from 1990 to 2015 continued. Mortality, age-standardized mortality, and probability of premature mortality from diabetes would increase to 32.57/100 000, 17.32/100 000, and 0.84% by 2030, respectively. During that time, mortality, age-standardized mortality and probability of premature mortality for males would all be higher than for females. If the goals of controlling risk factors were all achieved, the number of deaths from diabetes in 2030 would decrease by 62.10% compared to the predicted numbers based on the historical trends in exposure to risk factors, and the probability of premature mortality would drop to 0.29%. If only the exposure to a single risk factor were achieved by 2030, high fasting plasma glucose control would have the greatest impact on diabetes, resulting in a 56.00% reduction in deaths compared to the predicted numbers based on the historical trends, followed by high BMI (4.92%), smoking (0.65%), and low physical activity (0.53%). Conclusions: Risk factors control plays an important role in reducing the number of deaths, age-standardized mortality rate, and probability of premature mortality from diabetes. We suggest taking comprehensive measures to control relevant risk factors for certain populations and regions, to achieve the goal of reducing the burden of disease from diabetes as expected.

[Analysis of the core knowledge level of chronic diseases in Chinese adults and related factors].

Objective: To understand the core knowledge level and influencing factors of chronic disease prevention and control in Adults in China, and to provide a scientific basis for formulating chronic disease prevention and control measures. Methods: In this study, cross-sectional survey and quota sampling were used to recruit 173 819 permanent residents aged 18 and above from 302 counties of adult chronic diseases and nutrition surveillance in China to conduct an online questionnaire survey, including basic information and core knowledge of chronic diseases. The scores of the core knowledge of chronic disease prevention and control were described by median and interquartile range, the Wilcoxon rank sum test or the Kruskal Wallis test was used for the inter-group comparison, and the correlation factors of the total score were analyzed by the multilinear regression model. Results: A total of 172 808 participants were surveyed in 302 counties and districts, of which 42.60%(73 623) were male and 57.40%(99 185) were female; The proportion of respondents aged 18-44, 45-59, and 60 years old and above was 54.74% (94 594), 30.91% (53 423) and 14.35% (24 791), respectively. The total score of the core knowledge of chronic prevention and control in the total population was 66(13), and the scores of different characteristic groups were different, and the differences were statistically significant: the eastern region had the highest score at 67(11) (H=840.66, P<0.01), the urban 66(12) was higher than the rural 65(14) (Z=-31.35, P<0.01), and the male 66(14) was lower than female 66(12) (Z=-11.66, P<0.01), 18-24 years old 64(13) was lower than other age groups(H=115.80, P<0.01), and undergraduate degree and above had the highest score compared to other academic qualifications, with 68(9) points(H=2 547.25, P<0.01). Multivariate analysis showed that eastern (t=27.42, P<0.01), central (t=17.33, P<0.01), urban (t=5.69, P<0.01), female (t=17.81, P<0.01), high age (t=46.04, P<0.01) and high education (t=57.77, P<0.01) had higher scores of core knowledge of chronic disease prevention and control than other groups, the scores of core knowledge of chronic disease prevention and control of professional and technical personnel (t=8.63, P<0.01), state enterprises and institutions (t=38.67, P<0.01), agriculture, forestry, animal husbandry, fishery and water conservancy production (t=5.30, P<0.01), production, transportation and commercial personnel (t=24.87, P<0.01), and other workers (t=8.89, P<0.01) were higher than those of non-employed people. Conclusion: There are differences in the total scores of the core knowledge of chronic disease prevention and control in different characteristics of people in China, and in the future, health education on the prevention and treatment of chronic diseases should be strengthened for specific groups to improve the knowledge level of residents.

[Associations between different levels of blood pressure and risk of prediabetes].

Objective: To explore sex and rural-urban differences in the associations of different blood pressure levels with the risk of prediabetes. Methods: We used a multi-stage stratified cluster random sampling method to investigate 21 637 residents aged ≥18 years from 10 survey areas in Hubei province in 2020. The data on questionnaire, physical measurements, and laboratory indicators of the participants were collected. The associations of different blood pressure levels with risk of prediabetes by sex and regions were analyzed using multivariate logistic regressions after complex weighting. Results: A total of 16 111 subjects were included. The prevalence (95%CI) of prediabetes, impaired fasting glucose (IFG), impaired glucose tolerance (IGT), and IFG complicated with IGT were 25.1% (14.4%-35.9%), 12.7% (3.2%-22.1%), 8.1% (6.3%-9.8%), and 4.4% (2.3%-6.5%), respectively. After multivariate adjustment, the risk of prediabetes, IFG, IGT, and IFG complicated with IGT increased with the increment of blood pressure (both P for trend <0.05). The positive dose-response relationships between blood pressure levels and risk of prediabetes were also significant among male, urban, and rural residents (both P for trend <0.05), and the interactions between sex and blood pressure showed significant associations for risk of prediabetes and IGT (both P for interaction <0.05). Conclusions: Higher blood pressure levels were associated with an increased risk of prediabetes. The association with prediabetes was stronger in males, but no significant difference was found between urban and rural residents. More distinctive and effective prevention and control strategies should be developed for different populations.

[Progress in research of regional longevity level].

Regional longevity refers to a phenomenon of population age distribution in which longevity level in a certain area is significantly higher than the surrounding area at a certain point or period of time, and its longevity level is among the best in the whole country. In recent years, experts and scholars both at home and abroad have carried out multi studies of the influencing factors of individual longevity, but there are still relatively less studies to evaluate regional longevity level. This paper introduces the domestic and foreign evaluation research of regional longevity in terms of evaluation indicators and results, research scales and data sources, and proposes some advice for the future development. First, making full use of population death surveillance data to evaluate regional longevity level. Second, adopting multi-dimensional composite indexes to comprehensively, dynamically evaluate and accurately depict the regional longevity levels and its spatio-temporal change trend. Third, transforming regional longevity level evaluation to regional health and longevity level evaluation to promote healthy population aging.

[Prediction on the burden of disease of chronic obstructive pulmonary disease and simulation of the effectiveness of controlling risk factors in China by 2030].

Objective: To forecast the burden of chronic obstructive pulmonary disease (COPD) in China by 2030 and evaluate the effectiveness of controlling risk factors based on the predictive model. Methods: Based on the relationship between the death of COPD and exposure to risk factors and the theory of comparative risk assessment, we used the estimates of the Global Burden of Disease Study 2015 (GBD2015) for China, targets for controlling risk factors, and proportion change model to project the number of deaths, standardized mortality rate, and probability of premature mortality from chronic respiratory diseases by 2030 in different scenarios and to evaluate the impact of controlling the included risk factors to the disease burden of COPD in 2030. Results: If the trends in exposure to risk factors from 1990 to 2015 continued, the number of deaths and the mortality for COPD would be 1.06 million and 73.85 per 100 000 population in China by 2030, respectively, with an increase of 15.81% and 10.69% compared to those in 2015. Compared to 2015, the age-standardized mortality rate would decrease by 38.88%, and the premature mortality would reduce by 52.73% by 2030. If the smoking rate and fine particulate matter (PM2.5) concentration separately achieve their control targets by 2030, there would be 0.34 and 0.27 million deaths that could be avoided compared to the predicted numbers based on the natural trends in exposure to risk factors and the probability of premature death would reduce to 0.59% and 0.52%, respectively. If the control targets of all included risk factors were achieved by 2030, a total of 0.53 million deaths would be averted, and the probability of premature death would decrease to 0.44%. Conclusions: If the exposures to risk factors continued as showed from 1990 to 2015, the number of deaths and mortality for COPD would increase by 2030 compared to 2015, and the standardized mortality and the probability of premature death would decrease significantly, which would achieve the targets of preventing and controlling COPD. If the exposure to the included risk factors all achieved the targets by 2030, the burden of COPD would be reduced, suggesting that the control of tobacco use and air pollution should be enhanced to prevent and control COPD.

[Mortality trend of chronic respiratory diseases in China, 1990-2019].

Objective: To analyze mortality and its trend of chronic respiratory diseases (CRD) in China from 1990 to 2019. Methods: Based on the provincial results of China from the 2019 Global Burden of Disease (GBD) study, the average annual percent change (AAPC) of standardized mortality rates of different CRDs were analyzed by using Joinpoint 4.8.0.1, and the age-standardized mortality rate of CRD was calculated by using the GBD 2019 world standard population. Based on the comparative risk assessment theory of GBD, the attributable deaths due to 12 CRD risk factors were estimated, including smoking, indoor air pollution, occupational gas exposure, particulates and smog exposure, environmental particulate pollution, low temperature, passive smoking, ozone pollution, occupational exposure to silica, occupational asthma, high body mass index, high temperature and occupational exposure to asbestos. Results: From 1990 to 2019, the number of deaths and standardized mortality of chronic obstructive pulmonary disease (COPD) showed a downward trend (P<0.001). The number of COPD deaths decreased from 1 244 000 (912 000 - 1 395 000) in 1990 to 1 037 000 (889 000 - 1 266 000) in 2019. AAPC=-0.9% (95%CI: -1.5% - -0.3%), P<0.001; The standardized mortality rate decreased from 217.9/100 000 (163.3/100 000 - 242.0/100 000) in 1990 to 65.2/100 000 (55.5/100 000 - 80.1/100 000) in 2019. AAPC= -4.2% (95%CI:-5.2% - -3.2%), P<0.001. The number of deaths from asthma decreased from 40 000 (30 000 - 58 000) in 1990 to 25 000 (20 000 - 31 000) in 2019. AAPC=-2.0% (95%CI: -2.6% - -1.4%), P<0.001; The standardized mortality rate of asthma decreased from 6.4/100 000 (4.7/100 000 - 9.5/100 000) in 1990 to 1.5/100 000 (1.2/100 000 - 1.9/100 000) in 2019. AAPC=-5.1% (95%CI: -5.8% - -4.4%), P<0.001. The number of pneumoconiosis deaths decreased from 11 000 (8 000 - 14 000) in 1990 to 10 000 (8 000 - 14 000) in 2019, AAPC=-0.2%(95%CI:-0.4% - 0.1%), P=0.200; The standardized mortality rate of pneumoconiosis decreased from 1.4/100 000 (1.0/100 000 - 1.7/100 000) in 1990 to 0.5/100 000 (0.4/100 000 - 0.7/100 000) in 2019. AAPC=-3.1% (95%CI: -3.4% - -2.8%), P<0.001. The number of deaths from pulmonary interstitial diseases and pulmonary sarcoidosis increased from 3 000 (3 000 - 6 000) in 1990 to 8 000 (6 000 - 10 000) in 2019, AAPC=3.5% (95%CI: 2.7% - 4.2%), P<0.001; The corresponding standardized mortality rate changed little from 1990 to 2019, and AAPC was not statistically significant.The age-standardized mortality rates of different CRDs were higher in men than those in women. In 1990 and 2019, the mortality rates of COPD, asthma, pneumoconiosis and interstitial pulmonary disease and pulmonary sarcoidosis increased with age. In 2019, the population attributable fractions (PAFs) for smoking, environmental particulate pollution, occupational gas exposure, particulate and smog exposure, low temperature exposure and passive smoking were 71.1% (68.0% - 74.3%), 24.7% (20.1% - 30.0%), 19.3% (13.0% - 25.4%), 15.7% (13.6% - 18.3%) and 8.8% (4.5% - 13.1%) respectively in men, and the PAFs for environmental particulate pollution, smoking, low temperature exposure, occupational gas exposure, particulate and smog exposure, and passive smoking were 24.1% (19.6% - 29.3%), 21.9% (18.7% - 25.2%), 16.4% (14.0% - 19.2%), 15.6% (10.2% - 21.1%) and 14.7% (7.9% - 21.3%) respectively in women. Conclusions: During 1990-2019, the overall death level of CRD decreased significantly in China, but it is still at high level in the world. Active prevention and control measures should be taken to reduce the death level caused by CRD.

[Prediction of disease burden caused by malignant cancer in the context of risk factor control in China, 2030].

Objective: To predict the number of deaths, standardized mortality and probability of premature mortality caused by malignant cancer in the context of risk factor control at different levels in China in 2030, and assess the possibility of achieving the target of reducing the probability of premature mortality of malignant cancer. Methods: According to the risk factor control standard for malignant cancer used both at home and abroad, the results of China from Global Burden of Disease Study 2015 were used to calculate the population attributable fraction of the risk factors. Based on the comparative risk assessment theory, the deaths of malignant cancer were classified as attributable deaths and un-attributable deaths. Proportional change model was used to predict risk factor exposure and un-attributable deaths of malignant cancer in the future, then the number of deaths, standardized mortality rate and probability of premature mortality of malignant cancer in 2030 was estimated. Data analyses were performed by using software R 3.6.1. Results: If the risk factor exposure level during 1990-2015 remains, the number of deaths, standardized mortality rate, and probability of premature mortality of malignant cancer would increase to 3.62 million, 153.96/100 000 and 8.92% by 2030, respectively. If the risk factor exposure control level meets the requirement, the probability of premature mortality from cancer in people aged 30-70 years would drop to 7.57% by 2030. Conclusions: The control of risk factor exposure will play an important role in reducing deaths, standardized mortality rate and probability of premature mortality of malignant cancer. But more efforts are needed to achieve the goals of Health China Action.

[Study on construction and application of technology system of chronic diseases and risk factor surveillance in China].

To study and establish a set technology systems of sampling, investigation, quality control, and data analysis of complex sampling for chronic diseases and risk factor surveillance in China based on the requirements of the WHO and China's national conditions, and provide evidence for the policy making and prevention and control evaluation of chronic diseases and technical support for the research of chronic diseases. Through the study of complex sampling technique, adjustment of surveillance points and evaluation of their representatives, a national and provincial representative surveillance system and a complex weighted data analysis were established. According to the relevant plans, actions, and policies in China and other countries, the surveillance content and index system were studied and constructed, which was in line with China's national conditions, "1 + X" steps surveillance, covering the content of questionnaire , physical measurement, and laboratory testing. Based on modern information technology, a three-level platform of information collection and a multi-center laboratory quality control technology system were established, including sampling, information collection, biological sample management, quality control, and result display. Relying on the above research techniques, a national epidemiological investigation was conducted in China, which covered cerebrovascular disease, mental disorders, digestive system disease, and diabetes complications, to obtain the national representative data. This study reflected the innovation of "combination of medicine and prevention" and multi department cooperation in the fields of clinical medicine and public health and provided some big data for the health policy making and the evaluation of the effects of chronic disease prevention and control.

[Disease burden of breast cancer in women in China, 1990-2017].

Objective: To analyze the trend of the incidence, mortality and disease burden of breast cancer in women in China during 1990-2017. Methods: Based on the estimation of data in China from the Global Burden of Disease 2017 (GBD2017), the incidence,mortality, disability- adjusted life years (DALY), years of life lost (YLL), and years lived with disability (YLD) on breast cancer for women in China during 1990-2017 were standardized by the world standard population used for GBD2017. The GBD study applied the attributable burden formula to estimate the attributable deaths by five risk factors of breast cancer, including alcohol use, high body mass index (BMI), high fasting plasma glucose, low physical activity and tobacco smoking. The incidence, mortality, attributable deaths and the disease burden due to breast cancer in women in China were analyzed. Results: In 2017, a total of 357.6 thousand female breast cancer cases, including 84.8 thousand deaths, were reported in China, with the age-standardized incidence rate of 35.62/100 000, which increased by 286.18%, 114.14% and 88.77% respectively compared with 1990. The age-standardized mortality rate decreased from 8.57/100 000 in 1990 to 7.84 /100 000 in 2007, then increased to 8.71 /100 000 in 2015, and then decreased to 8.47/100 000 in 2017. The mortality of breast cancer increased with age in 1990 and 2017. From 1990 to 2017, the trend of standardized DALY rate and standardized YLL rate were the same as that of standardized mortality, while the standardized YLD rate and the proportion of YLD in DALY increased year by year. In 2017, the standardized DALY rate, standardized YLL rate and standardized YLD rate of breast cancer were 253.00/100 000, 228.96/100 000, and 24.05/100 000, respectively. Compared with 1990, the change rates were -6.88% and -11.73% and 95.85% respectively. The proportion of breast cancer deaths attributable to high BMI increased significantly by 165.76%, from 5.49% in 1990 to 14.59% in 2017. The proportion of breast cancer deaths attributable to alcohol use and high fasting blood glucose increased; and the proportion of breast cancer deaths attributed to low physical activity and smoking remained stable. In 2017, the three provinces with the highest age-standardized mortality rate of female breast cancer were Hongkong (9.93/100 000), Guangxi (9.52/100 000) and Liaoning (9.49/100 000). Compared with 1990, the age-standardized mortality of 19 provinces decreased, and Beijing (-27.17%), Macao (-26.06%) and Jilin (-23.89%) had the fastest decrease. The two provinces with the highest growth rates were Hebei (28.85%) and Henan (24.34%). Conclusions: The disease burden of female breast cancer in China increased during 1990-2017. Therefore it is necessary to strengthen the prevention and treatment of breast cancer.

[Evaluation on the quality of 236 National Demonstration Areas for comprehensive prevention and control of chronic diseases betweem 2017 and 2019].

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.

[Analysis on all-cause mortality rate and life expectancy in China, 2005-2018].

Objective: To understand the geographical variations and temporal trends of all-cause mortality rate and life expectancy in China at national and subnational levels during 2005-2018. Methods: Using data from National Cause-of-death Reporting System, China National Maternal and Child Health Surveillance System, Under-reporting Surveys, and related social determinants covariates, we estimated all-cause mortality rate and life expectancy at national and subnational levels in China during 2005-2018. We depicted the geographical variations and temporal trends between provinces on mortality rate and life expectancy. We then decomposed changes in national and subnational deaths into three explanatory components: change due to age-specific mortality rate, change due to the population structure by age, and change due to growth of the total population. Results: In 2018, it was estimated that there were 10 482 297 total deaths (95%CI: 9 723 233-11 466 875 deaths) in China, with 6 113 926 men (95%CI: 5 773 158-6 572 407 men) and 4 368 241 women (95%CI: 3 950 075-4 894 468 women). The all-cause mortality rate was 755.54 per 100 000 (95%CI: 701.49 per 100 000-825.78 per 100 000), with 861.78 per 100 000 (95%CI: 813.75 per 100 000-926.40 per 100 000) in men and 642.73 per 100 000 (95%CI: 581.20 per 100 000-720.15 per 100 000) in women, while age-standardized all-cause mortality rate was 652.27 per 100 000 (95%CI: 599.22 per 100 000-721.71 per 100 000), with 806.38 per 100 000 (95%CI: 755.10 per 100 000-874.31 per 100 000) in men and 503.37 per 100 000 (95%CI: 450.50 per 100 000-572.01 per 100 000) in women. In 2018, it was estimated that the life expectancy in the whole country was 77.15 years old (95%CI: 75.92-78.11 years old), with 74.81 (95%CI: 73.57-75.76) in men and 79.87 (95%CI: 78.61-80.91) in women. Developed areas as Shanghai, Beijing, Jiangsu, and Zhejiang owned comparatively higher life expectancy, while undeveloped areas like Tibet, Guizhou, Xinjiang, and Qinghai showed lower levels. During 2005-2018, there was a 29.87% increase in total deaths at the national level, with 27.74% in men and 31.29% in women. Changes due to age-specific mortality rate, the population structure by age, and the growth of the total population constituted -35.74%, 7.34%, and 58.28% of the total increase, respectively. Conclusions: From 2005 to 2018, the all-cause mortality rate increased while the age-standardized mortality rate decreased substantially among Chinese residents. Change due to population structure by age was the dominant driver. An upward trend of life expectancy was observed in all provinces, with marked differences between the provinces.

[Analysis on factors associated with the place of death among individuals with cardiovascular diseases in China, 2018].

Objective: To understand the distribution patterns of the place of death (PoD) among individuals with cardiovascular disease (CVD) in the provinces of China in 2018. Relationships between CVD deaths in healthcare/medical institutions and individual demographics, social-economic status (SES), the underlying cause of death, and local cultural factors were also explored. Methods: Using data from the National Cause-of-death Reporting System, we examined potential, influential factors of CVD deaths in healthcare/medical institutions through multilevel logistic regression. Results: In 2018, there were 853 832 CVD deaths in disease surveillance points in the country, with 661 625 (77.49%) home deaths and 156 441 (18.32%) occurring in healthcare and medical institutions. Factors including sex, age, nationality, marital status, education level, occupation, the underlying cause of death, criterion for diagnosis, and urban/rural residency, were significantly influential on CVD deaths in healthcare/medical institutions. Meanwhile, spatial variations were shown at factors the subnational level, with 45.39% related to factors at the individual level. Conclusion: Home was the dominant place for CVD deaths in the country, with substantial spatial variations in PoD between provinces. The probability of dying in healthcare/medical settings was comparatively higher among CVD patients with superior socioeconomic status and who lived in urban areas. Adequate information should be collected and included in further studies on exploring influential factors of PoD. Since both social factors, individual preferences, and acute and chronic CVD deaths are critical, it is necessary to enhance treatment capacity. A booming approach incorporating home/hospice care with on-site medical services might also improve the quality of end-of-life care among CVD patients in China.

[Influences of using different spatial weight matrices in analyzing spatial autocorrelation of cardiovascular diseases mortality in China].

Objective: To explore the potential influences and applicability of different spatial weight matrices used in analyzing spatial autocorrelation of cardiovascular disease (CVD) mortality in China. Methods: Using data from the National Cause-of-death Reporting System, we used adjacency-based Rook and Queen contiguity and distance-based K nearest neighbors/distance threshold. We then conducted global and local spatial autocorrelation analysis of CVD mortality at the county level in China, 2018. Results: All four categories and 26 types of spatial weight matrices had detected significant global and local spatial autocorrelation of CVD mortality in China. Global Moran's I statistics reached its peak when using first-order Rook (0.406), first-order Queen (0.406), K nearest neighbors including five spatial units (0.409), and distance threshold with 100 kilometers (0.358). Meanwhile, apparent local spatial autocorrelation was found in CVD mortality. Substantial disparities were observed when detecting "High-High clusters", "Low-Low clusters", "High-Low clusters" and "Low-High clusters" of CVD mortality spatial distribution by using different weight matrices. Conclusions: Using different spatial weight matrices in analyzing the spatial autocorrelation of CVD mortality, we could understand the spatial distribution characteristics of CVD mortality in-depth at the county level in China. In this way, adequate supports could also be provided on CVD premature death control and rational medical resource allocation regionally.

[A study on the identification of threshold for early warning on adverse weather events based on the association of apparent temperature and years of life lost].

Objective: To identify the threshold of a health warning system based on the association of apparent temperature and years of life lost (YLL). Methods: Daily mortality records and meteorological data were collected from 364 Chinese counties for 2006-2017. Distributed lag nonlinear model and multivariate Meta-analyses were applied to estimate the association between the apparent temperature and YLL rate. A regression tree model was employed to estimate the warning thresholds of the apparent temperature. Stratified analyses were further conducted by age and cause of death. Results: The daily YLL rate was 23.6/105. The mean daily apparent temperature was 15.7 ℃. U-shaped nonlinear associations were observed between apparent temperature and YLL rate. The actual temperature-caused YLL rate for the elderly was higher than the young population. The daily excess deaths rate increased with the higher effect levels. Conclusions: Regression tree model was employed to define the warning threshold for meteorological health risk. The present study provides theoretical support for the weather-related health warning system.

[Prevalence and control of hypertension in adults in China, 2018].

Objective: To describe and compare the prevalence, sick status awareness, treatment and control of hypertension in adults aged 18 years and above in China. Methods: National Chronic Disease and Risk Factor Surveillance was conducted in 298 counties/districts in China in 2018, which covered 31 provinces (autonomous regions, municipalities). A multi-stage stratified cluster random sampling method was used to select 194 779 permanent residents aged 18 years and above. Face to face questionnaire surveys were conducted to collect the information about their demographic characteristics, hypertension diagnosis and treatment as well as the blood pressures measurement. The systolic and diastolic blood pressure were measured using certified medical upper arm electronic sphygmomanometer for the adults. After excluding those with abnormal blood pressure, 179 873 adults were included in the final analyses. Gender, age and area or region specific mean blood pressure, the prevalence, sick status awareness, control and treatment rates of hypertension, and blood pressure measurement were evaluated for the adults surveyed. All the results were weighted according to complex sampling scheme and had post-stratification to represent the whole adult population in China. Results: The average systolic blood pressure was (127.7±18.8) mmHg (1 mmHg=0.133 kPa) and the average diastolic blood pressure was (76.8±11.2) mmHg in the adults aged 18 years and above in China in 2018. Among the adults without history of hypertension, 50.9%(95%CI:49.9%-51.9%) had prehypertension. The prevalence rate of hypertension in adults in China was 27.5% (95%CI: 26.6%-28.4%). In men, 30.8% (95%CI: 29.8%-31.9%) had hypertension, compared with 24.2% (95%CI: 23.3%-25.1%) in women. The rural adults had higher hypertension prevalence rate [29.4% (95%CI: 28.4%-30.3%)] compared with urban adults [25.7% (95%CI: 24.4%-27.1%), P<0.000 1]. The highest hypertension prevalence rate was observed in adults in northern China [33.3% (95%CI: 31.5%-35.2%)], followed by that in adults in northeastern China [32.7% (95%CI: 28.1%-37.4%)] compared with other regions in China, and with significant differences (P<0.000 1). Among the adults with hypertension, 41.0% (95%CI: 39.7%-42.4%) were aware of their sick status, 34.9% (95%CI: 33.6%-36.1%) were taking antihypertensive medicines, and 11.0% (95%CI: 10.2%-11.8%) had their blood pressure controlled. In the hypertensive patients, women and urban residents were more likely to have higher rates of sick status awareness, treatment and control of hypertension compared with men and rural residents (all P<0.000 1). Among the adults without history of hypertension, 41.9%(95%CI: 40.7%-43.2%) had active or passive measurement of blood pressure in the past 3 months. Conclusions: Given the higher prevalence rate of hypertension and lower blood pressure measurement rate in Chinese adults, as well as unsatisfied status of awareness, treatment and control of hypertension in patients, more efforts should be made in hypertension prevention and control, such as improved risk factor intervention and case management, especially in rural areas.

[The current status of early use of oral ß-blockers in patients with acute coronary syndrome and the association with the in-hospital outcomes].

Objective: To analyze the status of early use of oral ß-blocker and its relationship with in-hospital outcomes in eligible patients with acute coronary syndrome (ACS). Methods: The study was based on the Improving Care for Cardiovascular Disease in China (CCC)-ACS project. The data of ACS patients that collected during 2014 to 2019 from 230 collaborating hospitals across China were analyzed. Propensity score matching method and Cox multivariate regression analysis were used to analyze the association between early use of oral ß-blocker and in-hospital outcomes within 15 days. Results: A total of 38 663 eligible ACS patients were included in this study. The mean age was (57.0±9.0), and 78.8% of the ACS patients (30 470/38 663) were male. The proportion of early use of oral ß-blockers was 64.9% (25 112/38 663), but varied substantially, in the 230 hospitals with a range from 0 to 100%. Compared with the patients no early use of oral ß-blocker, the patients receiving early oral ß-blocker had significantly lower incidence of major cardiovascular adverse events (MACEs) (3.4% (395/11 536) vs. 2.9%(339/11 536), P=0.036)and less occurrences of heart failure (2.7% (316/11 536) vs. 2.1% (248/11 536), P=0.004). Multivariate Cox regression analyses showed the patients receiving early oral ß-blocker had 15.5%, 23.1%, and 35.3% lower risks of MACEs, heart failure and cardiogenic shock respectively than the patients no early oral ß-blocker. Conclusions: Compared with the patients no early oral ß-blocker, the patients receiving early oral ß-blocker had lower risks of MACEs events, heart failure and cardiogenic shock. However, the early use of oral ß-blocker in ACS patients was generally insufficient with huge differences among different hospitals in China.

[Analysis of cervical cancer screening and related factors in China].

Objective: To study the cervical cancer screening rate and related factors among women in China. Methods: In 2015, Chinese Chronic Diseases and Risk Factors Surveillance in Adults was conducted in 298 counties or districts using the multistage stratified cluster sampling in China. The study investigated 91 348 women aged 20 years or older who lived in the local at least 6 months in the past year. We collected the information about cervical cancer screening and socio-demographic factors through face-to-face interview. The screening rate was calculated by the complex sampling design and populating weighting. Rao-Scott χ2 was used to test the differences in screening rates within subgroups. Multivariable logistic regression was used to explore the factors associated with the uptake of cervical cancer screening. Results: The mean age of participants was (51±14) years old. The cervical cancer screening rate was 23.6% (n=21 346), and there was a significant difference in the screening rates among age groups. The cervical cancer screening rate in women aged 40-49 years was 34.8% (n=7 043). There was significant difference in the screening rates among geographic areas and the highest screening rate was 27.9% (n=6 707) in the eastern China. The more likelihood of uptake of cervical cancer screening was significantly associated with living in high-income regions, higher education, non-agriculture employment, higher household income, having medical insurance, and having health check-up during the past three years, and the cervical screening rate was higher (all P<0.05) . Conclusion: The cervical cancer screening rate is low in China and there was significant difference in the age and geographic areas. The uptake of cervical cancer screening is associated with local economic status, household income, education, employment, health insurance, and health check-up.