1.Mortality trend in nasopharynx cancer in Chinese resident from 1987 to 2015.
Xiaoxue LIU ; Zhijiang ZHANG ; Chuanhua YU
Journal of Central South University(Medical Sciences) 2018;43(7):760-766
To analyze epidemical features, distribution and time trend for nasopharynx cancer deaths in China from 1987 to 2015.
Methods: Negative binomial regression model was used to explore population-level risk factors for nasopharynx cancer deaths and a joinpoint regression model was used to estimate annual changes in nasopharynx cancer mortality in various populations.
Results: A falling trend in age-standardized nasopharynx cancer mortality rates was observed among Chinese residents with the average annual percent change (AAPC) at -2.97% among urban female residents and -2.60% among rural female residents (P<0.05), -2.01% among urban male residents, and -1.68% among rural male residents (P<0.05), respectively. It decreased yearly for urban male aged over 85 years with AAPC at -1.54% and the age-specific mortality rates decreased yearly for the urban female aged over 85 years with AAPC at -0.60%, the age-specific mortality rates decreased yearly for rural male residents aged more than 65 years with AAPC at -0.56% and for rural female residents aged more than 85 with AAPC at 1.17%, with no significant difference (P<0.05). The nasopharynx cancer deaths risks were higher in urban residents than those in rural residents (OR=1.11, P<0.01), and they were also higher in male residents than those in female residents (OR=2.34, P<0.01). A 5-year increment in age was associated with a 23% increase in nasopharynx cancer mortality (OR=1.23, P<0.01) and a one year increment in calendar year was related to a 2% decrease in mortality (OR=0.98, P<0.01).
Conclusion: There was a significant gender and age difference in a decreased trend of nasopharynx cancer mortality among Chinese residents in a long period; no increased trend was observed in the overall populations over 85 years old.
Age Distribution
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Age Factors
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Aged
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Aged, 80 and over
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China
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epidemiology
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Female
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Humans
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Male
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Mortality
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trends
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Nasopharyngeal Neoplasms
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mortality
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Rural Population
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statistics & numerical data
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trends
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Sex Distribution
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Urban Population
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statistics & numerical data
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trends
2.Geographic Distribution of Urologists in Korea, 2007 to 2012.
Yun Seob SONG ; Sung Ryul SHIM ; Insoo JUNG ; Hwa Yeon SUN ; Soo Hyun SONG ; Soon Sun KWON ; Young Myoung KO ; Jae Heon KIM
Journal of Korean Medical Science 2015;30(11):1638-1645
The adequacy of the urologist work force in Korea has never been investigated. This study investigated the geographic distribution of urologists in Korea. County level data from the National Health Insurance Service and National Statistical Office was analyzed in this ecological study. Urologist density was defined by the number of urologists per 100,000 individuals. National patterns of urologist density were mapped graphically at the county level using GIS software. To control the time sequence, regression analysis with fitted line plot was conducted. The difference of distribution of urologist density was analyzed by ANCOVA. Urologists density showed an uneven distribution according to county characteristics (metropolitan cities vs. nonmetropolitan cities vs. rural areas; mean square=102.329, P<0.001) and also according to year (mean square=9.747, P=0.048). Regression analysis between metropolitan and non-metropolitan cities showed significant difference in the change of urologists per year (P=0.019). Metropolitan cities vs. rural areas and non-metropolitan cities vs. rural areas showed no differences. Among the factors, the presence of training hospitals was the affecting factor for the uneven distribution of urologist density (P<0.001).Uneven distribution of urologists in Korea likely originated from the relatively low urologist density in rural areas. However, considering the time sequencing data from 2007 to 2012, there was a difference between the increase of urologist density in metropolitan and non-metropolitan cities.
Cities/statistics & numerical data
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Health Services Accessibility/*statistics & numerical data/trends
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Korea/epidemiology
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Physicians/*supply & distribution/trends
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Republic of Korea/epidemiology
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Rural Health Services/*manpower/statistics & numerical data/trends
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Rural Population/statistics & numerical data/trends
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Urban Health Services/*manpower/statistics & numerical data/trends
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Urology/*manpower/*statistics & numerical data/trends
3.Mortality and survival analysis of liver cancer in China.
Rongshou ZHENG ; Tingting ZUO ; Hongmei ZENG ; Siwei ZHANG ; Wanqing CHEN ; Email: CHENWQ@CICAMS.AC.CN.
Chinese Journal of Oncology 2015;37(9):697-702
OBJECTIVEBased on the cancer registry data to analyze the mortality and survival of liver cancer in China.
METHODSLiver cancer data of 2011 were retrieved from the National Cancer Registry Database.Liver cancer deaths were estimated using age-specific rate by areas and gender according to the national population in 2011. Mortality data from 22 cancer registries during 2000-2011 were used to analyze the mortality trend, and data from 17 cancer registries during 2003-2005 were used for survival analysis.
RESULTSThe estimates of liver cancer deaths were about 322 thousand in 2011 with a crude mortality rate of 23.93/10(5).There was an increasing trend of crude mortality rate of liver cancer during 2000-2011 in 22 Chinese cancer registries with an average annual percentage change of 0.7% (95%CI: 0.2%-1.2%), 1.1% in urban and 0.4% in rural areas. After age standardization with Segi's population, the mortality rate was significantly decreased, with an APC of -2.3%, -1.9% in urban and -2.2% in rural populations. The 5-year age standardized relative survival was 10.1% (95%CI: 9.5% to 10.7%), and the 1-, 3- and the 5-year observed survival rates were 27.2%, 12.7%, and 8.9%, respectively.
CONCLUSIONLiver cancer is a major cancer threatening people's lives and health in China, and the liver cancer burden is still high.
China ; epidemiology ; Databases, Factual ; statistics & numerical data ; Humans ; Incidence ; Liver Neoplasms ; mortality ; Registries ; statistics & numerical data ; Rural Population ; statistics & numerical data ; trends ; Survival Analysis ; Survival Rate ; Urban Population
4.Analysis of liver cancer incidence and trend in China.
Tingting ZUO ; Rongshou ZHENG ; Hongmei ZENG ; Siwei ZHANG ; Wanqing CHEN ; Email: CHENWQ@CICAMS.AC.CN.
Chinese Journal of Oncology 2015;37(9):691-696
OBJECTIVEThe national population-based cancer registration data were used to analyze the liver cancer incidence and trend in China, in order to provide advise for making further strategy on liver cancer prevention and control.
METHODSLiver cancer data of 2011 were retrieved from the database of the National Cancer Registry. The incident cases of liver cancer were estimated using age-specific rate by urban or rural areas and gender according to the national population in 2011. Liver cancer incidence data from 22 cancer registries were used to analyze the incidence trend during 2000-2011.
RESULTSThe estimates of new cases of liver cancer were about 356 thousand in China in 2011. The incidence rate was 26.39/10(5,) and the age-standardized incidence rates by Chinese standard population and by world population were 19.48/10(5) and 19.10/10(5,) respectively.There was an increasing trend of incidence rate of liver cancer in China during 2000-2011 with an average annual percentage change(AAPC) of 1.0% (95%CI: 0.5%-1.4%), 1.2% (95%CI: 0.7%-1.8%)in urban areas and 1.1% (95%CI: 0.5%-1.8%) in rural areas. After age standardization, the incidence rate was significantly decreased, with an AAPC of -1.8% (95%CI: -2.4% to -1.2%), -1.6% (95%CI: -2.2% to -0.9%) in urban and -1.4% (95%CI: -2.5% to -0.3%) in rural areas.
CONCLUSIONSLiver cancer is a common cancer in China. As changing in people's dietary habits and implementing neonatal HBV vaccination for years, the exposure to risk factors is reducing, and age-standardized incidence rate is decreasing. While cardinal number of population is big and aging population is growing rapidly in the country, trend of incidence rate is increasing, and the burden of liver cancer is still high in China.
China ; epidemiology ; Databases, Factual ; statistics & numerical data ; Health Transition ; Humans ; Incidence ; Liver Neoplasms ; epidemiology ; prevention & control ; Registries ; statistics & numerical data ; Risk Factors ; Rural Population ; statistics & numerical data ; trends ; Urban Population ; statistics & numerical data ; trends
5.Changes in Demographic Features of Gallstone Disease: 30 Years of Surgically Treated Patients.
Ye Rim CHANG ; Jin Young JANG ; Wooil KWON ; Jae Woo PARK ; Mee Joo KANG ; Ji Kon RYU ; Yong Tae KIM ; Young Beum YUN ; Sun Whe KIM
Gut and Liver 2013;7(6):719-724
BACKGROUND/AIMS: The aim of this study was to investigate changes in the clinical and demographical characteristics of gallstone disease in Korea, based on 30 years of surgically treated patients at a single institute. METHODS: In total, 7,949 gallstone patients who underwent surgery between 1981 and 2010 were analyzed. Patients were divided into six time periods: period I (1981 to 1985, n=831), period II (1986 to 1990, n=888), period III (1991 to 1995, n=1,040), period IV (1996 to 2000, n=1,261), period V (2001 to 2005, n=1,651) and period VI (2006 to 2010, n=2,278). RESULTS: The total number and mean age of the patients gradually increased, and the male/female ratio decreased. The proportion of gallbladder (GB)-stone cases increased, whereas the proportions of common bile duct (CBD)- and intrahepatic duct (IHD)-stone cases decreased. Differences in patient geographical origins also decreased. Based on the relationship between changes in the prevalence of gallstone disease and socioeconomic status, the prevalence of CBD stones showed a strong correlation with Engel's coefficient (p<0.001). CONCLUSIONS: Our study indicates that although the total number of cases and the mean age of gallstone patients have continuously increased, there are trends of increasing GB-stone cases and decreasing CBD- and IHD-stone cases.
Adult
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Age Distribution
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Body Mass Index
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Choledocholithiasis/*epidemiology/surgery
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Female
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Gallstones/*epidemiology/surgery
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Humans
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Male
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Middle Aged
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Prevalence
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Republic of Korea/epidemiology
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Rural Population/trends
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Sex Ratio
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Socioeconomic Factors
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Urban Population/trends
6.Suicide Rate Differences by Sex, Age, and Urbanicity, and Related Regional Factors in Korea.
Kyu Seok CHEONG ; Min Hyeok CHOI ; Byung Mann CHO ; Tae Ho YOON ; Chang Hun KIM ; Yu Mi KIM ; In Kyung HWANG
Journal of Preventive Medicine and Public Health 2012;45(2):70-77
OBJECTIVES: Identify the characteristics related to the suicide rates in rural and urban areas of Korea and discover the factors that influence the suicide rate of the rural and urban areas. METHODS: Using the data on causes of death from 2006 to 2008, the suicide rates were calculated and compared after age-standardization based on gender, age group and urbanicity. And, in order to understand the factors that influence suicide rate, total 10 local characteristics in four domains - public service, social integration, residential environment, and economic status - were selected for multiple regression analysis. RESULTS: The suicide rates were higher in men than women, in rural areas than urban, and in older people than the younger. Generally, although there were variations according to age group and urbanicity, suicide rates were significantly related to residential environment and regional economic status but not related to regional welfare spending and social integration. In addition, the population over the age of 65 years, only regional economic status has significantly influence on their suicide rates. CONCLUSIONS: The influence of characteristics of regions on suicide rate is various by age-group, gender, and urbanicity. Therefore, in order to lower suicide rate and reduce the gap between regions, various approaches must be adopted by taking into account the socioeconomic characteristics of the regions.
Adolescent
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Adult
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Age Distribution
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Aged
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Cause of Death/trends
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Female
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Humans
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Male
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Middle Aged
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Republic of Korea/epidemiology
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Residence Characteristics
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Rural Population/*statistics & numerical data
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Sex Distribution
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Socioeconomic Factors
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Suicide/*statistics & numerical data
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Urban Population/*statistics & numerical data
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Young Adult
7.Trend analysis of cancer mortality in China between 1989 and 2008.
Hong-mei ZENG ; Rong-shou ZHENG ; Si-wei ZHANG ; Ping ZHAO ; Jie HE ; Wan-qing CHEN
Chinese Journal of Oncology 2012;34(7):525-531
OBJECTIVECancer is one of the leading causes of death in China. The study aimed to examine the temporal trend of cancer mortality rate during 1989-2008 in urban and rural areas of China.
METHODSThe mortality data of all cancers from 1989 to 2008 from National Cancer Registry database were sorted and checked. Age standardized mortality rates were calculated by the direct methods using the China population of 1982 and World Segi's population. Joinpoint regression was performed to obtain the annual percentage changes (APC) in mortality rates. The top ten cancer sites were calculated and analyzed. The mortality rates were compared with statistics of the United States.
RESULTSFrom 1989 to 2008, the trend of crude cancer mortality increased with an annual percentage change (APC) of 1.0%. After age standardization, the mortality rate was significantly decreased, with an APC of -1.2%. In urban areas, lung cancer was the most common cancer of death, whereas in rural areas, stomach cancer and esophageal cancer remained top cancers of death. Especially, in both urban and rural areas, the mortality of lung cancer was on increase. The mortality rates of stomach and esophageal cancers showed a decrease in urban areas. Compared with the cancer mortality rates of the United States, the Chinese cancer mortality rate in males remained highest. The decreasing trend of cancer mortality in females of China was less obvious than that of the United States.
CONCLUSIONSThe crude mortality rates of cancer in China show an increase whereas the age standardized mortality raters has declined between 1989 and 2008. Cancer is still a major public health issue threatening people's life in China. Effective intervention for cancer control and prevention is needed in the future.
China ; epidemiology ; Esophageal Neoplasms ; mortality ; Female ; Humans ; Lung Neoplasms ; mortality ; Male ; Mortality ; trends ; Neoplasms ; mortality ; Registries ; Rural Population ; Sex Factors ; Stomach Neoplasms ; mortality ; United States ; epidemiology ; Urban Population
8.Trends in Cigarette Use Behaviors Among Adolescents by Region in Korea.
Nam Soo HONG ; Keon Yeop KIM ; Soon Woo PARK ; Jong Yeon KIM ; Jisuk BAE ; Won Kee LEE ; Ki Su KIM
Journal of Preventive Medicine and Public Health 2011;44(4):176-184
OBJECTIVES: Understanding recent trends in cigarette smoking among adolescents is important in order to develop strategies to prevent cigarette smoking. The aim of this study was to compare recent trends in cigarette smoking for adolescents living in rural areas, small towns and metropolitan cities in Korea. METHODS: The raw data from the Korea Youth Risk Behavior Web-based Survey (KYRBWS) from 2005 to 2009 were used. Data were analyzed by using the method of complex survey data analysis considering complex sampling design. Logistic regression models were used to evaluate significant linear time trends in cigarette smoking. The indicators of cigarette use behaviors were 'current smoking rate', 'frequent smoking rate', 'heavy smoking rate' and 'smoking experience rate before 13 years of age'. All analyses were conducted according to gender. RESULTS: Statistically significant increasing trends in current smoking rate and frequent smoking rate were observed and borderline significant increasing trends in heavy smoking rate were shown among rural boys. Among metropolitan city boys, statistically significant increasing trends were also seen for frequent smoking. Statistically significant decreasing trends in current smoking rate were observed among small town and metropolitan city girls. Smoking experience rate before 13 years of age for rural girls decreased significantly. CONCLUSIONS: Cigarette smoking prevalence among adolescents in the rural areas has increased in the last five years especially among boys. Our findings suggest that anti-tobacco program for adolescents should be conducted primarily for those in rural areas.
Adolescent
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Adolescent Behavior/*psychology
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Female
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Humans
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Male
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Prevalence
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Questionnaires
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Republic of Korea
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Rural Population
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Smoking/epidemiology/prevention & control/*trends
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Urban Population
9.Trends of overweight and obesity in Yi people between 1996 and 2007: an Yi migrant study.
GuangLiang SHAN ; DaYing WEI ; ChunXiu WANG ; JianHua ZHANG ; Bin WANG ; MingJu MA ; Li PAN ; Tao YU ; Fang XUE ; ZhengLai WU
Biomedical and Environmental Sciences 2011;24(5):467-474
OBJECTIVETo evaluate trends of overweight and obesity prevalence between 1996 and 2007 in Yi farmers and Yi migrants.
METHODSAn Yi migrant study was conducted in Liangshan Yi Autonomous Prefecture, Sichuan Province, China from 1996 to 2007. Data were collected with identical methods, including standardized questionnaire and body measurements.
RESULTSAge- and sex-specific body mass index (BMI) significantly increased from 20.02 in 1996 to 22.36 in 2007, among Yi farmers, which was significantly different from those among Yi migrants (23.67 in 2007 and 20.90 in 1996) (P<0.05). Prevalence of obesity rose from 1.21 % in 1996 to 4.55 % in 2007 (OR=1.15, P<0.001) in Yi migrants, while that in Yi farmers from none in 1996 to 0.12 % in 2007 (P>0.05). Prevalence of overweight rose significantly to 26.24 % in 2007 from 17.24 % in 1996 (OR=1.06, P<0.001) in Yi migrants, while that in Yi farmers from 1.29 % in 1996 to 4.45 % in 2007 (OR=1.14, P>0.001). Yi migrants appeared to have a 5.52-fold higher risk on developing overweight and obesity than Yi farmers have.
CONCLUSIONThe Yi migrants had a steeper increase of overweight with year and consequently caused more obesity. Change in lifestyle may contribute most likely to higher prevalence of overweight and obesity in Yi migrants.
Adult ; Agriculture ; statistics & numerical data ; trends ; Body Mass Index ; China ; epidemiology ; Female ; Humans ; Male ; Middle Aged ; Obesity ; epidemiology ; Overweight ; epidemiology ; Prevalence ; Rural Population ; statistics & numerical data ; Transients and Migrants ; statistics & numerical data ; Urban Population ; statistics & numerical data ; Young Adult
10.Evaluation of impact of major causes of death on life expectancy changes in China, 1990-2005.
Biomedical and Environmental Sciences 2009;22(5):430-441
OBJECTIVETo evaluate the impact of major causes of death on changes of life expectancy in China.
METHODSLife expectancy was calculated by standard life table techniques using mortality data from the national censuses in 1990 and 2000 and the 1% National Population Sampling Surveys in 1995 and 2005. Mortality data about the major causes of death from VR-MOH were used as reference values to estimate their death proportions of the specific age groups by sex and regions, as well as all-cause mortality and age-specific mortality rates of major causes of death. Decomposition method was used to quantitatively evaluate the impact.
RESULTSThree key findings were identified in our study. First, China's health challenge was shifted from diseases related to living conditions to those related to behavior and lifestyle, with rural areas relatively lagged behind urban areas. Second, the impacts of cardiovascular diseases and neoplasm on the middle aged and elderly population were stressed. Third, compared to the urban population, the rural population tended to have increasing mortality of neoplasm and cardiovascular diseases, especially in adults at the age of 15-39 years.
CONCLUSIONFurther efforts should be made to reduce the incidence of neoplasm and cardiovascular diseases, especially in rural areas, by promoting healthy behavior and lifestyle and providing appropriate therapies for all patients in need.
Adolescent ; Adult ; Aged ; Cause of Death ; trends ; Child ; Child, Preschool ; China ; Female ; Humans ; Infant ; Infant, Newborn ; Life Expectancy ; trends ; Male ; Middle Aged ; Rural Population ; Sex Characteristics ; Time Factors ; Urban Population ; Young Adult

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