[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.

[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.

[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.

[Renal pathological characteristics in cirrhotic patients].

This study is aim to analyze pathological characteristics of kidneys in cirrhotic patients with renal disease. Fifty-six cirrhotic patients with various renal diseases at Peking University First Hospital who underwent percutaneous renal biopsy from January 2010 to September 2019 were evaluated retrospectively. Immunoglobulin A nephropathy (IgAN) was the most common type of kidney biopsy (23 cases, 41.1%). Different pathologic types were often overlapping. More than 60% patients were treated with steroids and/or immunosuppressants, and 1 patient with anti-CD20 monoclonal antibody. Percutaneous renal biopsy is important for the diagnosis and treatment in cirrhotic patients with renal disease.

[The role of large-scale testing platform in the prevention and control of the COVID-19 pandemic: an empirical study based on a novel numerical model].

Objective: China adopted an unprecedented province-scale quarantine since January 23rd 2020, after the novel coronavirus (COVID-19) broke out in Wuhan in December 2019. Responding to the challenge of limited testing capacity, large-scale (>20 000 tests per day) standardized and fully-automated laboratory (Huo-Yan) was built as an ad-hoc measure. There is so far no empirical data or mathematical model to reveal the impact of the testing capacity improvement since quarantine. Methods: Based on the suspected case data released by the Health Commission of Hubei Province and the daily testing data of Huo-Yan Laboratory, the impact of detection capabilities on the realization of "clearing" and "clearing the day" of supected cases was simulated by establishing a novel non-linear and competitive compartments differential model. Results: Without the establishment of Huo-Yan, the suspected cases would increase by 47% to 33 700, the corresponding cost of quarantine would be doubled, the turning point of the increment of suspected cases and the achievement of "daily settlement" (all newly discovered suspected cases are diagnosed according to the nucleic acid testing result) would be delayed for a whole week and 11 days. If the Huo-Yan Laboratory could ran at its full capacity, the number of suspected cases could start to decrease at least a week earlier, the peak of suspected cases would be reduced by at least 44%, and the quarantine cost could be reduced by more than 72%. Ideally, if a daily testing capacity of 10 500 tests was achieved immediately after the Hubei lockdown, "daily settlement" for all suspected cases could be achieved. Conclusions: Large-scale, standardized clinical testing platform, with nucleic acid testing, high-throughput sequencing, and immunoprotein assessment capabilities, need to be implemented simultaneously in order to maximize the effect of quarantine and minimize the duration and cost of the quarantine. Such infrastructure, for both common times and emergencies, is of great significance for the early prevention and control of infectious diseases.

[Lung cancer deaths attributable to ambient PM(2.5) exposure in 2016 in China].

Objective: To analyze the lung cancer deaths attributable to ambient PM(2.5) exposure in China in 2016. Methods: All data were from the Global Burden of Disease Study 2016 (GBD 2016). Multiple-source data, including satellite observation, ground measurement, chemical migration model simulation, etc., and the data integration model for air quality (DIMAQ) were used to estimate the grid-level exposure to ambient PM(2.5). Data from the vital registry and cancer registry were used to establish statistical model to estimate the lung cancer deaths by province, age and gender. The lung cancer deaths attributable to PM(2.5) were calculated based on the calculation of population attributable fraction (PAF). The GBD world population age structure was adopted to calculate age-standardized rates for comparison among provinces (including 31 provinces, autonomous regions and municipalities directly under the central government, as well as Hong Kong and Macao special administrative regions, excluding Taiwan of China). Results: In 2016, the lung cancer deaths attributable to ambient PM(2.5) exposure in China were 14.56×10(4) (95% uncertainty interval (UI): 9.63×10(4)-19.55×10(4)), accounting for 24.66% (95%UI: 16.38%-33.12%) of total lung cancer deaths. The lung cancer death rate attributable to PM(2.5) increased with age, with the lowest among 25-29 age group (0.25/10(5), 95%UI: 0.17/10(5)-0.34/10(5)), the highest among ≥80 age group (90.70/10(5), 95%UI: 59.85/10(5)-122.20/10(5)). The lung cancer death rate attributable to PM(2.5) among males (14.84/10(5), 95%UI: 9.78/10(5)-19.93/10(5)) was higher than that in females (6.21/10(5), 95%UI: 4.07/10(5)-8.40/10(5)). The age-standardized death rates (ASDR) of lung cancer attributable to PM(2.5) among males and females in China were higher than the global average level. The attributable ASDR of lung cancer varied among provinces, highest in Shandong (13.51/10(5), 95%UI: 9.14/10(5)-18.20/10(5)) and lowest in Tibet (0.85/10(5), 95%UI: 0.44/10(5)-1.51/10(5)). Conclusion: In 2016, the lung cancer deaths attributable to ambient PM(2.5) exposure in China was heavy, and varied in different age groups, genders and provinces.

[Association between high air temperature and mortality in summer: A multi-city analysis in China].

Objective: To understand the associations between changes of high air temperature and mortality in summer in 31 cities in China. Methods: Daily mortality and meteorological data in 31 cities in China from January 1, 2008 to December 31, 2013 were collected. Distributed lag nonlinear model was used to evaluate the association between high air temperature change and mortality in early summer and late summer after controlling for the long-term trend and the effect of "day of week" . Results: The relative risk of high air temperature on mortality was higher in early summer, with relative risk in the range of 1.08-2.14 in early summer and 1.03-1.67 in late summer. In early summer, the influence of high temperature on mortality was mainly below 5(th) of percentile and above 50(th) of percentile, while in late summer it was mainly above 95(th) of percentile. The lag effect of high air temperature on mortality in early summer was 6 days, while the lag effect in late summer was only about 2 days. Conclusions: Association existed between high air temperature and mortality. The influence of high air temperature on mortality in early summer was stronger than that in late summer. It is necessary to take targeted protection measures.

[Deaths attributed to ambient air pollution in China between 2006 and 2016].

Objective: To analyze the deaths attributed to ambient air pollution in China between 2006 and 2016. Methods: The data were collected from the project of Global Burden of Disease in 2016 (GBD2016). The Data Integration Model for Air Quality were used to estimate exposure to particulate matter smaller than 2.5 µm in aerodynamic diameter (PM(2.5)). The attributable death number was calculated based on the calculation of population attributable fraction (PAF), and the results were compared by gender, diseases and provinces. An average world population age structure was adopted to calculate age-standardized rates. Results: In 2016, a total of 1 075 000 deaths attributed to ambient air pollution occurred in China, accounting for 11.1% of the total deaths, and 57.6% of the deaths attributed to ambient air pollution were due to ischemic heart disease and stroke. The death number among men was 1.7 times higher than that in women, Compared with 2006, the proportion of ambient air pollution related deaths in total deaths decreased by 6.8%; the age- standardized death rate attributed to ambient air pollution decreased by 26.5% and the decrease rate of lower respiratory infections (37.6%) and chronic obstructive pulmonary disease (42.1%) were greater than ischemic heart disease (5.3%). The age-standardized rate of death attributed to ambient air pollution decreased both in men and in women, but the decrease rate was higher in women (34.8%) than that in men (20.4%). The PAFs varied among provinces, it was highest in Tianjin (13.9%), lowest in Tibet (6.1%), and it was relatively higher in Beijing, Hebei, Shandong, Henan and the three provinces in the northeast and relatively lower in Hong Kong, Macao, Fujian and Hainan etc.. The age-standardized rate of death attributed to ambient air pollution was highest in Xinjiang (120.1/100 000) and lowest in Hong Kong (30.9/100 000), and it was relatively higher in Qinghai, Guizhou, Henan and relatively lower in Macao, Shanghai and Fujian, etc.. Compared with 2006, the PAFs of 17 provinces decreased, the decrease rate ranged from 4.1% to 16.8%, whereas the PAF of Jilin (5.0%) and Heilongjiang (8.1%) increased, and the PAFs of other 14 provinces showed no significant change. The attributable age-standardized death rate decreased in all provinces with the decrease rate ranging from 11.9% (Heilongjiang) to 43.2% (Fujian), and the decrease rate was relatively higher in Guangdong, Zhejiang and Guizhou, and lower in the three provinces in the northeast, Hubei and Hebei etc. Conclusions: In 2016, the disease burden attributable to PM(2.5) in China was heavy, but mitigated compared with 2006. The gender and area specific distributions of deaths attributed to ambient air pollution were observed.

[Survey on burden of disease attributable to low fruit intake among Chinese people aged 15 years old and above between 1990 and 2013].

Objective: To analyze the burden of disease attributable to low fruit intake among Chinese population aged ≥15 years old between 1990 and 2013. Methods: We used data from the 2013 Global Burden of Disease Burden of Disease Study to study the situation in China. The population attributable fraction was calculated to estimate and compare the death and disability-adjusted life years (DALY) attributed to low fruit intake between 1990 and 2013 in China (excluded Taiwan, China). An average world population age structure of the period 2000-2025 was adopted to calculate age-standardized rates. Results: Deaths attributable to low fruit intake accounted for 11.02% of all death in 2013, which were higher than it in 1990 (10.38%). In 2013, the number of deaths attributed to low fruit intake in China increased to 1 046 500 from 793 800 in 1990. From 1990-2013, the age-standardized death rate attributable to low fruit intake decreased from 113.04/100 000 to 79.80/100 000. DALYs caused by low fruit intake increased from 18.346 5 million in 1990 to 21.296 7 million in 2013. Compared with 1990, the age-standardized DALY rate attributed to low fruit intake decreased by 34.67%. In 2013, the top three provinces with the highest burden of disease attributed to low fruits intake were Tibet, Guizhou and Xinjiang provinces, with standardized DALY rate at 2 612.53/100 000, 2 281.85/100 000 and 2 198.22/100 000, respectively. Compared with the results in 1990, the standardized DALY attributed to low fruits intake decreased, especially in Tianjin, where decreased by 63.61%; followed by Aomen, Zhejiang, Shanghai and Beijing, where decreased by 59.74%, 59.53%, 56.64% and 53.88%, respectively. Conclusion: Compared with the situation in 1990, the burden of disease attributable to low fruit intake decreased in 2013, but the situation is still serious, especially in Tibet, Guizhou and Xinjiang provinces, where the burden decreased comparatively slowly.

[Death and impact of life expectancy attributable to smoking in China, 2013].

Objective: To analyze the death attributable to smoking and impact of life expectancy in China in 2013. Methods: According to the characteristics of different diseases, we calculated the population attributable fractions of different diseases, death and impact of life expectancy which caused by smoking, using direct method (current smoking rate as exposure levels) and indirect method (smoking impact ratio as exposure levels), based on data from both programs of death surveillance and Chinese chronic disease risk factor surveillance of 2013. Results: In 2013, smoking caused around 1.59 million deaths which accounted for 17.38% of all deaths in China. Constituent ratio of death caused by smoking in males (23.66%) was much higher than that in females (8.30%). However, in urban areas (17.24%), it was slightly lower than that in rural areas (17.51%). Constituent ratio of death caused by smoking in the eastern regions appeared the lowest (16.81%), with western regions the highest (17.91%). In 2013, lung cancer, COPD and ischemia heart disease were the top three diseases causing deaths that related to smoking, but the top three population attributable fractions were lung cancer, COPD and nasopharyngeal carcinoma in China. In 2013, smoking caused a reduction of 2.04 years of life expectancy loss in China, with males in the western regions the highest (3.05 years). Conclusion: Smoking is still an important public health problem in China. Tobacco-control-targeted programs in the heavily involved areas could reduce the number of deaths from related diseases that caused by smoking.

[Effects of insufficient physical activity on motality and life expectancy in adult aged 25 and above among Chinese population].

Objective: To analyze the attribution of mortality and impact on life expectancy caused by insufficient physical activity in different gender and areas in adults aged ≥25 years among Chinese people. Methods: Data from the programs related to Chinese death surveillence, risk factors of chronic survey, health outcomes of physical activity as well as relative risk (RR) on Global Burden of Disease (GBD) study were used. Population attributable fraction (PAF) of different health outcomes attributable to deaths that caused physical activity and the influence of life expectancy in adults aged ≥25 years in Chinese people were calculated. Results: The overall PAF for all cause of death due to physical activity in adults aged ≥25 years was 4.24%, with 4.86% in females and 3.82% in males. The health outcomes of inadequate physical activity would include breast cancer, colorectal cancer, ischemic heart disease, ischemic stroke and diabetes with relative PAFs as 9.04%, 13.96%, 14.96%, 17.80% and 16.92%, respectively. The attribution of death on Physical activity was 388 954. The most attributed death was ischemic heart disease, followed by ischemic stroke. With the elimination of physical inactivity, the total life expectancy was expected to lose by 0.43 years, with 0.47 years in women, and 0.39 years in men. Conclusion: The increase of physical activity may benefit on health condition so to reduce the burden of chronic diseases and increase the life expectancy.

[Mortality attributable to inadequate intake of fruits among population aged 25 and above in China, 2013].

Objective: To assess the mortality attributable to low fruit intake among people over 25 years old in China, 2013, and its effect on life expectancy. Methods: Based on data collected from China Chronic Disease and Risk Factor Surveillance in 2013, the average fruit intake in different genders and areas were calculated. Potential impact fraction (PIF) was used to examine the impact on deaths, mortality and life expectancy. Results: The average daily fruit intake was (113.3±168.9) g among people over 25 years old, with (103.6±160.1) g for men and (122.7±176.6) g for women, in China in 2013. Fruit intake for urban residents was significantly higher than that in rural residents and higher in eastern regions than that in central or western regions. Scores that attributable to low fruit intake accounted for 15.21% of the total deaths and the population attributable fraction of inadequate intake of fruits to associated diseases was 35.00%. PIF for all the deaths in rural residents (16.50%) appeared higher than that of the urban residents (13.88%), and higher in the residents living in the eastern region (15.48%) than that in the central (16.27%) or western (13.75%) regions. Number of deaths that attributable to low fruit intake was 1.348 4 million. Deaths caused by related diseases appeared as: ischemic heart disease (472.5 thousands), hemorrhagic stroke (338.8 thousands), ischemic stroke (259.0 thousands), lung cancer (208.4 thousands), esophageal cancer (60.7 thousands), laryngeal cancer (5.4 thousands) and oral cancer (3.6 thousands). Numbers of all deaths and related diseases for urban residents were lower than that of the rural residents, with central regions (452.7 thousands) higher than that in the eastern (531.1 thousands) or western (364.6 thousands) regions. The average life expectancy loss caused by low fruit intake was 1.73 years, 1.80 years for men and 1.58 years for women, in this country. Loss of life expectancy in the rural residents was higher than that of the urban residents, and higher in central regions than that in the eastern or western regions. Conclusions: The intake of fruit was far lower than the recommended standard set for the Chinese people. Population attributable fraction was related to the associated diseases caused by inadequate intake of fruits which also made serious impact on life expectancy.

[Acute effect of fine particulate matters on daily cardiovascular disease mortality in seven cities of China].

Objective: To explore the effect of fine particulate matters with an aerodynamic diameter less than 2.5 µm (PM(2.5)) on daily cardiovascular disease mortality in seven cities of China. Methods: Daily average concentrations of PM(2.5), cardiovascular disease mortality data and environmental data were collected from January 1, 2013 to December 31, 2015 in seven cities of China, including Shijiazhuang, Haerbin, Shanghai, Wuhan, Guangzhou, Chengdu and Xi' an. We linked generalized additive model with Quasi-Poisson distribution to evaluate the association between daily concentrations of PM(2.5) and cardiovascular disease mortality at single-city level and multi-city level, after adjusting for the long-term and seasonal trend, as well as meteorological factors and the effect of " days of week" . Results: The single-pollutant model indicated that there were marked differences in association strength in these cities, among which the effect in Guangzhou was strongest. At multi-city level, a 10 µg/m(3) increase of PM(2.5) was associated with an increase of 0.315% (95%CI: 0.133%-0.497%) of daily cardiovascular disease mortality. From lag0 to lag2, the effect of PM(2.5) on cardiovascular disease mortality decreased, while it was strongest on lag01. In the two-pollutant model, the estimated effect decreased in all the cities with the adjustments of SO(2) or NO(2). The insignificant combined results suggested that PM(2.5) might have combined effect with other pollutants. Each 10 µg/m(3) increase of PM(2.5) was associated with increases of 0.371% (95%CI: 0.141%-0.600%) and 0.199% (95% CI: 0.077%-0.321%) of cardiovascular disease mortality in males and females, respectively. The effect of PM(2.5) on cardiovascular disease mortality increased with age and decreased with educational level, although the differences between different subgroups were insignificant. The dose-response relationship between PM(2.5) and cardiovascular disease mortality was non-linear and non-threshold, with a steeper curve at lower concentrations. Conclusion: The increases of PM(2.5) concentration can result in the increase of daily cardiovascular mortality.

[Disease burden attributable to household air pollution in 1990 and 2013 in China].

Objective: To assess the disease burden attributable to household air pollution in 1990 and 2013 in China. Methods: Based on data from the Global Burden of Disease Study 2013 in China (GBD 2013), we used population attributable fractions (PAF) to analyze the burden of different diseases attributable to solid-fuel household pollution in 2013 in China(not inclnding HongKang, Macao, Taiwan). We compared PAF, mortality, and disability-adjusted life years (DALY) for diseases attributable to solid-fuel household pollution in 31 provinces in mainland China in 1990 and 2013, and stratified the burden by age group. The estimated world average population during 2000- 2025 was used to calculate age-standardized mortality and DALY rates. Results: In 2013, 14.9% of lower respiratory infections in children <5, 32.5% of chronic obstructive pulmonary disease (COPD), 12.0% of ischemic stroke, 14.2% of hemorrhagic stroke, 10.9% of ischemic heart disease, and 13.7% of lung cancer were attributable to solid-fuel household pollution. In addition, 807 000 deaths were attributable to solid-fuel household pollution, including 296 000 from COPD, 169 000 from hemorrhagic stroke, 152 000 from ischemic heart disease, 88 000 from ischemic stroke, 75 000 from lung cancer, and 28 000 from lower respiratory infections in children <5. The age-standardized mortality rate from solid-fuel household pollution decreased by 59.3% from 158.8/100 000 in 1990 to 64.6/100 000 in 2013. The age-standardized mortality rate from solid-fuel household pollution decreased in all 31 provinces, with the highest decline observed in Shanghai (96.3%), and lowest in Xinjiang (39.9%). In 2013, the age-standardized DALY rate from solid-fuel household pollution was highest in Guizhou (2 233.0/100 000) and lowest in Shanghai (27.0/100 000). The DALY rate was the highest for the >70 age group (7 006.0/100 000). Compared with 1990, the 2013 mortality rate and DALY rate from solid-fuel household pollution decreased in all age groups, with the highest decline observed in the <5 age group (91.9% and 91.8% , respectively). Conclusion: Although the disease burden attributable to household air pollution decreased notably between 1990 and 2013, household pollution caused a high number of deaths and DALY loss in certain western provinces.

[Burden of disease attributable to high- sodium diets in China, 2013].

Objective: To examine the burden of disease(BOD)attributable to high-sodium diets in China in 2013. Methods: Data were extracted from the 2013 Global Burden of Disease Study for China to examine the BOD attributable to high-sodium diets in 2013, gender, and disease composition. Measurements for attributable BOD were population attributable fraction(PAF), deaths, standardized mortality and disability-adjusted life years(DALY)(not including Taiwan, China). An average world population age-structure for the period 2000-2025 was adopted to calculate age-standardized rates. Results: In 2013, deaths attributable to high-sodium diets accounted for 12.6% of all deaths and 14.5% of chronic disease deaths. Overall, 7.8% of deaths because of neoplasms, 25.2% of cardiovascular disease deaths, and 22.9% of chronic kidney disease deaths were attributable to high-sodium diets. A total of 1 176 553 deaths were attributable to high-sodium diets and the standardized mortality was 91.5/100 000, which was higher in men than in women(121.7/100 000 and 63.0/100 000, respectively). Overall, 22.759 million DALYs were attributable to high-sodium diets. The DALY standardized rate was 1 588.0/100 000, which was higher in men than in women(2 189.7/100 000 and 993.2/100 000, respectively). When compared by province, PAF in Xinjiang(25.0%), Qinghai(23.7%), Shanxi(23.2%), Tibet(22.1%)and Shandong(20.5%)was higher than other provinces. The standardized mortality in Xinjiang(239.4/100 000), Qinghai(238.9/100 000), Tibet(221.7/100 000), Shanxi(166.2/100 000)and Hebei(149.9/100 000)were higher than other provinces. The DALY standardized rate attributable to high-sodium diets was highest in Xinjiang(4 430.8/100 000), Qinghai(4 422.5/100 000), Tibet(4 021.4/100 000), Shanxi(2 816.6/100 000), and Hebei(2 624.9/100 000). Conclusion: The BOD attributable to high-sodium diets is a serious issue in China, particularly in men and in the northern provinces. Effective measures should be taken in northern provinces to reduce sodium intake.

[Burden of disease attributed to high total cholesterol in 2013 in China].

Objective: To analyze the burden of disease attributed to high total cholesterol(TC)in 2013 in China. Methods: We used data from the 2013 Global Burden of Disease Study. The population attributable fraction was calculated to estimate the deaths and disability-adjusted life years(DALY)attributed to high TC. Disease burden was compared by age, gender, diseases and province(not including Taiwan, China). An average world population age structure for the period 2000- 2025 was adopted to calculate age-standardized rates. Results: In 2013, high TC caused 298 952 deaths in China, accounting for 3.3% of total deaths, and caused 6 332 thousand DALYs. DALYs attributed to high TC were highest among the 50-69 years age group(3 165 thousand person years), accounting for 50.0% of the total attributed DALYs. The DALY rate in the ≥70 years age group was 2 053.3/100 000, which was 10.3 times that of 15-49 age group(198.6/100 000). DALYs among men were 4 431 thousand person years, which was 2.3 times higher than in women(1 900 thousand person years), and the age-standardized DALY rate among men was 590.6/100 000, which was 2.3 times higher than in women(257.1/100 000). DALYs attributed to high TC were mainly caused by ischemic heart disease(IHD; 5 572 thousand person years), accounting for 88.0% of the total attributed DALYs. Deaths and DALYs attributed to high TC were highest in Shandong(31 002 and 628 thousand person years for deaths and DALYs, respectively), Henan(27 398 deaths and 587 thousand person years, respectively), Hebei(25 744 deaths and 589 thousand person years, respectively), accounting for 28.1% of total attributed deaths and 28.5% of total attributed DALYs. The number of deaths and DALY were lowest in Macao(75 deaths and 1 thousand person years, respectively)and Tibet(385 deaths and 10 thousand person years, respectively). The age standardized DALY rates were highest in Beijing(794.8/100 000), Hebei(732.7/100 000), and Jilin(709.1/100 000), and lowest in Shanghai(151.4/100 000), Zhejiang(168.1/100 000), and Hong Kong(182.0/100 000). Conclusion: The burden of disease attributed to high TC in 2013 in China was mainly the result of the IHD it causes, with greater influence among males and those aged ≥50 years, and variation among provinces.

[Burden of disease attributable to high fasting plasma glucose in 1990 and 2013 in China].

Objective: To analyze the burden of disease attributed to high fasting plasma glucose(FPG)in China in 1990 and 2013. Methods: The analysis used data obtained from the 2013 Global Burden of Diseases Study and examined deaths, death rate, disability-adjusted life years(DALY), years lived with disability(YLD)and years of life lost(YLL)attributed to high FPG in 1990 and 2013 in China(not including Taiwan, China). An average world population age-structure for the period 2000- 2025 was adopted to calculate age-standardized rates. Results: In 2013, the number of deaths attributed to high FPG in China increased to 621.9 thousand from 320.3 thousand in 1990. From 1990- 2013, the age-standardized death rate attributable to high FPG increased from 45.69/100 000 to 48.64/100 000. DALYs caused by high FPG increased to 20.389 1 million in 2013 from 10.648 3 million in 1990. In 2013, high FPG caused 8.751 5 million YLD and 11.637 6 million YLL, and the percentage of YLL in DALY decreased to 57.1% in 2013 from 68.7% in 1990. Compared with 1990, the age-standardized DALY rate attributed to high FPG increased by 10.81%. In 2013, the top three provinces with the highest burden of disease attributed to high FPG were Xinjiang, Jilin and Liaoning provinces, with standardized death rates of 83.38, 74.01 and 68.64/100 000, respectively, and the standardized DALY rate was 2 217.96, 2 001.84 and 1 837.79/100 000 in the three provinces, respectively. Conclusion: Compared with 1990, the burden of disease attributed to high FPG in 2013 increased substantially in China, in particular the burden of attributed YLD. However, the burden of YLL attributed to high FPG has decreased modestly. The burden of disease caused by high FPG shows variation among different provinces in China.

[Mortality attributable to high body mass index in Chinese people aged 15 or over, in 1990 and 2013].

Objective: To analyze and compare deaths(mortality)attributable to high body mass index(BMI)in Chinese population aged ≥15 years between 1990 and 2013. Methods: We used the results of the 2013 Global Burden of Disease Study for China, based on population attributable fractions(PAF)to analyze deaths attributable to high BMI in all provinces(not including Taiwan, China)in 1990 and 2013. The average world population from 2000 to 2025 was used as a reference to calculate age-standardized mortality rates, and to compare the change of attributable deaths in 1990 and 2013. Results: In 2013, the number of deaths attributable to high BMI was 640 294, compared with 301 231 in 1990, an increase of 114.27%. Compared with 1990, in 2013, the number of deaths and age-standardized mortality rate attributable to high BMI showed a higher growth rate in men(142.81% and 30.74%, respectively)than women(84.69% and 2.88% , respectively). The growth rate of attributable deaths increased with age. Compared with 1990, in 2013, the growth rates of attributable deaths among 15-49, 50-69 and ≥70 years age groups were 63.37%, 89.11% and 183.64%, respectively. In both 1990 and 2013, the top three diseases in terms of deaths attributable to high BMI were stroke(128 657 and 247 042, respectively), ischemic heart disease(57 173 and 156 614, respectively), and hypertensive heart disease(34 960 and 58 435, respectively). Compared with 1990, in 2013, the standardized mortality rates of chronic kidney disease(129.44%), pancreatic cancer(101.76%), colorectal cancer(85.45%)and breast cancer(63.86%)showed more substantial increases. In 1990, the top three provinces with most deaths attributable to high BMI were Henan(31 376), Shandong(27 969)and Hebei(24 164), while in 2013 they were Shandong(61 897), Hebei(58 383)and Henan(57 501). Compared with 1990, in 2013, the age-standardized mortality rate attributable to high BMI increased in 26 of 33 provinces, with a faster increase in Qinghai(56.96%), Guizhou(45.30%)and Yunnan(39.39%). The rate declined in the other seven provinces, declining faster in Tianjin(20.68%), Macao(14.08%)and Jilin(6.86%). Conclusion: Deaths and age-standardized mortality rates attributable to high BMI increased rapidly between 1990 and 2013, with higher increases in men than in women. Age-standardized mortality rates of chronic kidney disease, pancreatic cancer, colorectal cancer and breast cancer attributable to high BMI showed much higher growth rates than other attributed diseases. The highest BMI-attributed age-standardized mortality rates were found in northeast and northern provinces, and the fastest growth rates of BMI-attributed age-standardized mortality rates were observed in southwest and northwest provinces.