1.Burden of cardiovascular diseases attributable to metabolism disorders, in Jiangsu province.
H YU ; Z Q FAN ; P F LUO ; J SU ; R Q HAN ; J Y ZHOU
Chinese Journal of Epidemiology 2018;39(12):1596-1601
		                        		
		                        			
		                        			Objective: To quantify the burden of cardiovascular disease (CVD) deaths that attributed to metabolic disorders in population aged ≥25 years in Jiangsu province. Methods: The data we used were from the following three sources: 1) 2015 Jiangsu Chronic Disease Risk Factor and Nutrition Survey, 2) death surveillance, 3) results of the 2016 Global Burden of Disease Study, based on population attributable fractions (PAF), to analyze related parameters as mortality, years of life lost (YLL), life expectancy (LE) and premature mortality. Results: Most people died from ischemic stroke (IS) showed the standard mortality as 87.48/100 000. High SBP appeared as the major cause on CVD deaths. PAF with high cholesterol and high BMI decreased along with the increase of age while high fasting plasma glucose increased. Deaths due to ischemic heart diseases, IS or hemorrhagic stroke that attributed to metabolism disorders would reduce the LE by 1.08, 1.07 or 0.55 years, respectively. Males appeared to have higher YLL than females and were more likely to die from premature CVD, as the consequence of having metabolism disorders. Conclusions: Blood pressure control should be considered an important approach to reduce the burden of CVD. According to the characteristics of gender-related risks and the distinct impact of age-related metabolism disorders on different CVD diseases, stratified strategies should be strengthened for comprehensive prevention and control of CVD, in Jiangsu province.
		                        		
		                        		
		                        		
		                        			Adult
		                        			;
		                        		
		                        			Blood Pressure
		                        			;
		                        		
		                        			Cardiovascular Diseases/epidemiology*
		                        			;
		                        		
		                        			Chronic Disease
		                        			;
		                        		
		                        			Cost of Illness
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Life Expectancy
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Metabolic Diseases/epidemiology*
		                        			;
		                        		
		                        			Mortality/trends*
		                        			;
		                        		
		                        			Mortality, Premature
		                        			;
		                        		
		                        			Risk Factors
		                        			
		                        		
		                        	
2.Influence of daily ambient temperature on mortality and years of life lost in Chongqing.
Jing LI ; Shuquan LUO ; Xianbin DING ; Jun YANG ; Jing LI ; Xiaobo LIU ; Jinghong GAO ; Lei XU ; Wenge TANG ; Qiyong LIU
Chinese Journal of Epidemiology 2016;37(3):375-380
OBJECTIVETo evaluate the influence of extreme ambient temperature on mortality and years of life lost (YLL) in Chongqing.
METHODSThe daily mortality, meteorology and air pollution index data in Chongqing from the 1(st) January 2010 to the 31(st) December 2013 were collected. Distributed lag non-linear model (DLNM) was used to assess the influence of daily ambient temperature on daily number of deaths and daily YLL respectively. The delayed and cumulative effects of extreme temperature on sex, age, and cause-specific mortality were also assessed.
RESULTSThe relationships between ambient temperature and non-accidental, cardiovascular disease and respiratory disease mortalities and YLL were U-shaped or W-shaped. The effect of heat was obvious on that day, peaked on day 7, and lasted for two weeks, whereas the effect of cold was obvious a week later and lasted for a month. As 1 ℃ increase of ambient temperature, the cumulative relative risks (CRR) of high temperature across lag 0-7 days on non-accidental, respiratory disease and cardiovascular disease mortalities were 1.05 (95%CI: 1.03-1.07), 1.08 (95%CI: 1.05-1.11) and 1.05 (95%CI: 1.01-1.09) respectively. The effects of heat on YLL for each cause were 23.81 (95%CI: 12.31-35.31), 14.34 (95%CI: 8.98-19.70) and 4.43 (95%CI: 1.64-7.21), respectively. On cold days, 1 ℃ decrease of ambient temperature was correlated with an increase in CRR of 1.06 (95%CI: 1.04-1.08), 1.09 (95%CI:1.06-1.12) and 1.06 (95%CI: 1.02-1.11) from lag 0 to 14 for non-accidental, respiratory disease and cardiovascular disease mortalities, respectively. The estimated YLL were 23.34 (95%CI: 10.04-36.64), 16.39 (95%CI: 10.19-22.59) and 2.61 (95%CI: -0.61-5.82). People aged ≥65 years tend to have higher CRR and YLL than those aged <65 years. On high temperature days, the CRR in women was higher than that in men, while the YLL in women was lower than that in men. On low temperature days, both the CRR and YLL in women were higher than those in men.
CONCLUSIONSBoth high and low ambient temperature have adverse health effects. People aged ≥65 years are more sensitive to both high and low ambient temperature. Younger men are more sensitive to high ambient temperature and women and elder men are sensitive to low ambient temperature. It is necessary to take targeted measures to protect the population in Chongqing from the adverse influence of extreme ambient temperature.
Adult ; Aged ; Cardiovascular Diseases ; mortality ; China ; epidemiology ; Cold Temperature ; adverse effects ; Female ; Hot Temperature ; adverse effects ; Humans ; Life Expectancy ; trends ; Male ; Mortality ; trends ; Nonlinear Dynamics ; Respiratory Tract Diseases ; mortality ; Temperature
3.Progress in research of nutrition and life expectancy.
Xiao Ying ZHENG ; You Li HAN ; Chao GUO ; Lei ZHANG ; Yue QIU ; Gong CHEN
Biomedical and Environmental Sciences 2014;27(3):155-161
4.Men's Health Index: A Pragmatic Approach to Stratifying and Optimizing Men's Health.
Hui Meng TAN ; Wei Phin TAN ; Jun Hoe WONG ; Christopher Chee Kong HO ; Chin Hai TEO ; Chirk Jenn NG
Korean Journal of Urology 2014;55(11):710-717
		                        		
		                        			
		                        			PURPOSE: The proposed Men's Health Index (MHI) aims to provide a practical and systematic framework for comprehensively assessing and stratifying older men with the intention of optimising their health and functional status. MATERIALS AND METHODS: A literature search was conducted using PubMed from 1980 to 2012. We specifically looked for instruments which: assess men's health, frailty and fitness; predict life expectancy, mortality and morbidities. The instruments were assessed by the researchers who then agreed on the tools to be included in the MHI. When there was disagreements, the researchers discussed and reached a consensus guided by the principle that the MHI could be used in the primary care setting targetting men aged 55-65 years. RESULTS: The instruments chosen include the Charlson's Combined Comorbidity-Age Index; the International Index of Erectile Function-5; the International Prostate Symptom Score; the Androgen Deficiency in Aging Male; the Survey of Health, Ageing and Retirement in Europe Frailty Instrument; the Sitting-Rising Test; the Senior Fitness Test; the Fitness Assessment Score; and the Depression Anxiety Stress Scale-21. A pilot test on eight men was carried out and showed that the men's health index is viable. CONCLUSIONS: The concept of assessing, stratifying, and optimizing men's health should be incorporated into routine health care, and this can be implemented by using the MHI. This index is particularly useful to primary care physicians who are in a strategic position to engage men at the peri-retirement age in a conversation about their life goals based on their current and predicted health status.
		                        		
		                        		
		                        		
		                        			Aging/*physiology
		                        			;
		                        		
		                        			*Health Status
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Life Expectancy/*trends
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Men's Health/*standards/*trends
		                        			
		                        		
		                        	
5.Analysis of mortality and years of life lost of malignant tumors among inhabitants in rural area of Feicheng city from 2000 to 2010.
Li-hong ZHAO ; Wen-qiang WEI ; Heng-min MA ; De-li ZHAO
Chinese Journal of Oncology 2013;35(9):714-719
OBJECTIVETo analyze the mortality trends and disease burden of malignant tumors in rural area of Feicheng city from 2000 to 2010, and to provide basic information for the prevention and treatment of malignant tumors in this area.
METHODSThe data of cancer mortality from 2000 to 2010 from Feicheng Cancer Registry database were checked. Mortality rate, standardized mortality rate, potential years of life Iost (PYLL), standardized potential years of life lost (SPYLL), average years of life lost (AYLL) and other indexes were calculated and analyzed. The trend of the standardized rates transformed by the natural logarithm over time was assessed by Prais-Winsten regression method in which the errors was assumed to follow a first-order autoregressive process. STATA 12.0 was used to analyze the data.
RESULTSIn average, the crude mortality rate was 199.67 per 100 000 (264.69 per 100 000 in males and 137.24 per 100 000 in females), and the standardized mortality rate was 157.00 per 100 000 (200.49 per 100 000 in males and 101.31 per 100 000 in females). There were no significant changes in the trends of all standardized rates. For males, the mortality rates of lung and colorectal cancers increased significantly, and for females, the rates of lung and breast cancers had increased trend while the rate of esophageal cancer showed a downward trend. There were no statistically significant changes in other main malignant tumors. During 2000 to 2010, the PYLL of malignant tumors in Feicheng was 183 685.0 person-years, and PYLL rate was 23.3 per 1000. The SPYLL was 153 091.0 person-years, SPYLL rate was 19.4 per 1000, and AYLL was 14.8 years.
CONCLUSIONSThere are no obvious changes in the trends of standardized mortality rates in rural area of Feicheng over the past 11 years. For males, the mortality of lung cancer and colorectal cancer is increasing, and for females, the rates of lung and breast cancers have an increasing trend while the rate of esophageal cancer shows a decreasing trend. The prevention and control of digestive malignant tumors, lung cancer and breast cancer are getting seriously important and should be the focal point in this issue.
Breast Neoplasms ; mortality ; China ; epidemiology ; Colorectal Neoplasms ; mortality ; Esophageal Neoplasms ; mortality ; Female ; Humans ; Life Expectancy ; trends ; Lung Neoplasms ; mortality ; Male ; Neoplasms ; mortality ; Rural Population
6.Deprivation and Mortality at the Town Level in Busan, Korea: An Ecological Study.
Min Hyeok CHOI ; Kyu Seok CHEONG ; Byung Mann CHO ; In Kyung HWANG ; Chang Hun KIM ; Myoung Hee KIM ; Seung Sik HWANG ; Jeong Hun LIM ; Tae Ho YOON
Journal of Preventive Medicine and Public Health 2011;44(6):242-248
		                        		
		                        			
		                        			OBJECTIVES: Busan is reported to have the highest mortality rate among 16 provinces in Korea, as well as considerable health inequality across its districts. This study sought to examine overall and cause-specific mortality and deprivation at the town level in Busan, thereby identifying towns and causes of deaths to be targeted for improving overall health and alleviating health inequality. METHODS: Standardized mortality ratios (SMRs) for all-cause and four specific leading causes of death were calculated at the town level in Busan for the years 2005 through 2008. To construct a deprivation index, principal components and factor analysis were adopted, using 10% sample data from the 2005 census. Geographic information system (GIS) mapping techniques were applied to compare spatial distributions between the deprivation index and SMRs. We fitted the Gaussian conditional autoregressive model (CAR) to estimate the relative risks of mortality by deprivation level, controlling for both the heterogeneity effect and spatial autocorrelation. RESULTS: The SMRs of towns in Busan averaged 100.3, ranging from 70.7 to 139.8. In old inner cities and towns reclaimed for replaced households, the deprivation index and SMRs were relatively high. CAR modeling showed that gaps in SMRs for heart disease, cerebrovascular disease, and physical injury were particularly high. CONCLUSIONS: Our findings indicate that more deprived towns are likely to have higher mortality, in particular from cardiovascular disease and physical injury. To improve overall health status and address health inequality, such deprived towns should be targeted.
		                        		
		                        		
		                        		
		                        			Cause of Death
		                        			;
		                        		
		                        			Confidence Intervals
		                        			;
		                        		
		                        			Geographic Information Systems
		                        			;
		                        		
		                        			Health Services Accessibility
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		                        			*Health Status Disparities
		                        			;
		                        		
		                        			Humans
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		                        			Korea/epidemiology
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		                        			Life Expectancy
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		                        			Mortality/*trends
		                        			;
		                        		
		                        			Normal Distribution
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		                        			Poverty/*statistics & numerical data
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		                        			Regression Analysis
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		                        			Risk
		                        			;
		                        		
		                        			Socioeconomic Factors
		                        			
		                        		
		                        	
7.Health inequalities during 20 years of rapid economic development in China (1980-2000): a mortality analysis.
XiaoYing ZHENG ; XinMing SONG ; Gong CHEN ; YunZhong YOU ; Qiang REN ; JuFen LIU ; Lei ZHANG ; LingFang TAN ; JiHong WEI ; QiuYuan CHEN
Biomedical and Environmental Sciences 2011;24(4):329-334
OBJECTIVETo examine the influence of China's economic reforms on population health and regional mortality rates.
METHODSLongitudinal study measuring the mortality trends and their regional variations. Using data from the three most recent national censuses, we used the model life table to adjust the mortality levels within the population for each census, and to calculate life expectancy. We then examined the variation in patterns of mortality and population health by economic status, region and gender from 1980-2000.
RESULTSLife expectancy varied with economic status, province, and gender. Results showed that, although life expectancy in China had increased overall since the early 1980s, regional differences became more pronounced. Life expectancy for populations who live in the eastern coastal provinces are greater than those in the western regions.
CONCLUSIONDifferences in life expectancy are primarily related to differences in regional economic development, which in turn exacerbate regional health inequalities. Therefore, it is necessary to improve economic development in less developed regions and to improve health policies and the public health system that address the needs of everyone.
China ; Developing Countries ; Economics ; Female ; Healthcare Disparities ; economics ; Humans ; Infant ; Infant Mortality ; Life Expectancy ; Male ; Mortality ; trends ; Sex Characteristics
8.Age and Gender Differences in the Relation of Chronic Diseases to Activity of Daily Living (ADL) Disability for Elderly South Koreans: Based on Representative Data.
Journal of Preventive Medicine and Public Health 2011;44(1):32-40
		                        		
		                        			
		                        			OBJECTIVES: This study investigated the gender and age differential effect of major chronic diseases on activity of daily living (ADL) disability. METHODS: Surveyfreq and Surveylogistic regression analyses were employed on the 2005 Korean National Health and Nutrition Examination Survey (KNHANES) with a sample of 3,609 persons aged 65 - 89. RESULTS: After adjusting for potential covariates, stroke, among elderly men more so than women, had a 2-3 times greater odds of engendering ADL disability in the 65-69 (p < 0.05) and 70-79 age groups (p < 0.01). In comparison to elderly women, cancer, diabetes, and incontinence in elderly men was associated with a higher risk of ADL disability in the 70 - 79 age group (p < 0.05), and this association was also observed for pulmonary disease in the 80-89 age group. Among elderly women, however, a significant association between incontinence and ADL disability was identified in all three age groups. In addition, this association was found in pulmonary disease and diabetes in elderly women aged 70 - 79 years. Significant gender differences were observed in the association between stroke in the 60 - 79 age group and cancer in the 70 - 79 age group. CONCLUSIONS: Age and gender differences were observed in the effect of chronic diseases on ADL disability.
		                        		
		                        		
		                        		
		                        			*Activities of Daily Living
		                        			;
		                        		
		                        			Age Factors
		                        			;
		                        		
		                        			Aged
		                        			;
		                        		
		                        			Aged, 80 and over
		                        			;
		                        		
		                        			Chronic Disease/*epidemiology
		                        			;
		                        		
		                        			Disabled Persons/*statistics & numerical data
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Health Surveys
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Life Expectancy/trends
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Republic of Korea/epidemiology
		                        			;
		                        		
		                        			Sex Factors
		                        			;
		                        		
		                        			Socioeconomic Factors
		                        			
		                        		
		                        	
9.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
10.Trend of death cause of residents in Changde from 1973 to 2002.
Journal of Central South University(Medical Sciences) 2006;31(6):952-959
		                        		
		                        			OBJECTIVE:
		                        			To discuss the cause of death for residents in Changde and guarantee the evidence for the health decision-making and control of diseases by the use of YPLL analysis and comprehensive evaluation on the dynamic cause of death of residents in Changde from 1973 to 2002.
		                        		
		                        			METHODS:
		                        			The data is processed by the use of SPSS software package (version 11.0) and EXCEL software (version 2000) with the statistic methods of Cause Eliminated Life Table, Life Table, YPLL and etc.
		                        		
		                        			RESULTS:
		                        			The average population reached 5384519 and the average gender proportion of male and female is 1.12 to 1 in Changed during 1973-2002. Since 1973, total population has risen from 483 to 596 at average annual rate of 7.89% while the birthrate has decreased from 53.78% in 1973 to 8.39% in 2002. The composition of population in Changde experienced great shift in the past 30 years. The proportion of children (0 - 14) in 2002 declined by 16.15% compared with that in 1973 and the proportion of elder people has increased by 2.88% compared with that in 1973. The proportion of gender has ranged little by 1973-2002 although that of neonatal has ranged greatly.
		                        		
		                        			CONCLUSION
		                        			The total death number of Changde in 2002 reached 1103233 and the mortality rate has sustained decline since 1973. The top 5 causes of death were diseases of respiratory system, circular system, damnification & poisoning, contagion & schistosomiasis, tumor and etc in 2002 and shifted a lot compared with that in 1973. The average life expectancy of residents in Changde was 67.6 from 1973 to 2002. The average life expectancy of males and females increased 12.63 and 11.93 years in 2002 compared with those in 1972. In the past 30 years, the diseases of respiratory system has greatly influenced the life span of residents in Changde.
		                        		
		                        		
		                        		
		                        			Age Distribution
		                        			;
		                        		
		                        			Cause of Death
		                        			;
		                        		
		                        			trends
		                        			;
		                        		
		                        			China
		                        			;
		                        		
		                        			epidemiology
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Life Expectancy
		                        			;
		                        		
		                        			Male
		                        			;
		                        		
		                        			Sex Distribution
		                        			
		                        		
		                        	
            
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