Next Article in Journal
Comment on Zheng et al. Association between Promoter Methylation of Gene ERCC3 and Benzene Hematotoxicity. Int. J. Environ. Res. Public Health 2017, 14, 921
Previous Article in Journal
Forecasting the Water Demand in Chongqing, China Using a Grey Prediction Model and Recommendations for the Sustainable Development of Urban Water Consumption
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Trends in Cardiovascular Diseases and Respiratory Diseases Mortality in Urban and Rural China, 1990–2015

1
Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
2
Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2017, 14(11), 1391; https://doi.org/10.3390/ijerph14111391
Submission received: 17 October 2017 / Revised: 6 November 2017 / Accepted: 8 November 2017 / Published: 15 November 2017
(This article belongs to the Section Global Health)

Abstract

:
With the rapid development of the economy over the past 20 years, the mortality rates from cardiovascular diseases (CVDs) and respiratory diseases (RDs) have changed in China. This study aimed to analyze the trends of mortality rates and years of life lost (YLLs) from CVDs and RDs in the rural and urban population from 1990 to 2015. Using data from Chinese yearbooks, joinpoint regression analysis was employed to estimate the annual percent change (APC) of mortality rates from CVDs and RDs. YLLs due to CVDs and RDs were calculated by a standard method, adopting recommended standard life expectancy at birth values of 80 years for men and 82.5 years for women. Age-standardized mortality rates and YLL rates were calculated by using the direct method based on the Chinese population from the sixth population census of 2010. Age-standardized mortality rates from CVDs for urban residents and from RDs for both urban and rural residents showed decreasing trends in China from 1990 to 2015. Age-standardized mortality rates from CVDs among rural residents remained constant during above period and outstripped those among urban residents gradually. The age-standardized YLL rates of CVDs for urban and rural residents decreased 35.2% and 8.3% respectively. Additionally, the age-standardized YLL rates of RDs for urban and rural residents decreased 64.2% and 79.0% respectively. The age-standardized mortality and YLL rates from CVDs and RDs gradually decreased in China from 1990 to 2015. We observed more substantial declines of the mortality rates from CVDs in urban areas and from RDs in rural areas.

1. Introduction

Cardiovascular diseases (CVDs) and respiratory diseases (RDs) are two of the most common diseases in the world [1]. The Global Burden of Disease Study indicated that CVDs caused 17.9 million deaths, and chronic respiratory diseases caused 3.8 million deaths in 2015 worldwide [2]. CVDs were the most common cause of death in Chinese population in 2015, followed by cancer and RDs [3]. In recent years, these two disease categories were responsible for more than 50% of deaths in China (CVDs 45% and RDs 11% in 2014) and more than double the proportion of deaths from neoplasms (23%) [4]. Due to huge health burden induced by these two kinds of diseases, they are public health problem and the major prevention and control program targets in China. Therefore, further analysis of the trends on the mortality rates from CVDs and RDs is essential for disease control.
The age-standardized death rates from CVDs and RDs have declined dramatically worldwide in the past 20 years [5], while the trend and magnitude has varied in different countries [6,7]. China has experienced rapid economic development, including industrialization and transportation development during this period. With the economic development, the medical service system has been greatly improved, especially in rural areas. The overall health condition in China has improved, the mortality from infectious diseases is declining rapidly, and the life expectancy has increased 9.5 years from 1990 to 2015 [2].
However, as food availability has expanded and become more diversified, it has adversely affected health on account of inappropriate dietary patterns. Unhealthy diets, such as ones high in fat and sodium, and low in fruit and vegetables, are considered to be the main cause of CVDs [8,9]. Furthermore, environmental risk factors also play a dominant role in the disease development. The World Health Organization has estimated that air pollution was associated with 1.6 million premature deaths per year in China [10]. The air pollution is becoming more and more serious in many cities and the areas surrounding industrial enterprises. In addition, accumulating evidence suggests that exposure to air pollutants is associated with elevated mortality and morbidity from CVDs and RDs [11,12]. The influence of lifestyle, environmental pollution and medical service maybe appear through the trends of the mortality rates during last 20 years. Years of life lost (YLLs) are used here to capture premature mortality due to CVDs and RDs.
This study aimed to provide a comprehensive profile of the mortality trends and YLLs from CVDs and RDs in China from 1990 to 2015. We also compared the disparity of mortality rates and YLLs between the urban and rural areas, which would be useful for prevention and control of both disease categories in the future.

2. Materials and Methods

2.1. Data Sources

Official national-level data on annual cause-specific and age-specific mortality rates in urban and rural areas were extracted from Chinese Health Statistical Annual Report (1991–2002), China Health Statistics Yearbook (2003–2012), and China Health and Family Planning Statistics Yearbook (2013–2016), which report the health development and residents’ health status. The mortality data were collected by the Ministry of Health-Vital Registration (MOH-VR) System. The demographic data in urban and rural areas were extracted from China Population Statistics Yearbook (1991–2006), China Population and Employment Statistics Yearbook (2007–2016), which cover age, gender composition of population in different regions (urban and rural). And the population data were obtained by sample survey and census. Data were available for each calendar year from 1990 to 2015 in age groups (<1, 1–4, 5-year age groups to 80–84 and ≥85 years) by region (urban and rural areas). All categorieswere encoded by International Classification of Disease (ICD), Ninth Revision (ICD-9) and Tenth Revision (ICD-10) for CVDs [ICD-9: 390–459, ICD-10: I00–I99], chronic rheumatic heart disease [393–398, I05–I09], hypertensive heart disease [402, I11], ischemic heart disease [410–414, I20–I25], cerebrovascular disease [430–438, I60–I69], RDs [460–519, J00–J99], chronic lower respiratory disease [490–496, J40–J47], pneumonia [480–486, J12–J18], pneumoconiosis [500–505, J60–J65], ICD-9 for data collected prior to 2002 and ICD-10 for data from 2002 onwards.

2.2. Statistical Analysis

We calculated age-standardized mortality rates per 100,000 by the direct method for each study year between 1990 and 2015, using the Chinese sixth population census in 2010 as reference [13]. Trends in death rates were analyzed by joinpoint regression. Joinpoint regression is used to compute average annual percent change (APC) and identify joinpoints where significant changes in trends occur. A maximum of three joinpoints was allowed in the analysis. APC was computed using a log-linear model. In addition, 95% confidence intervals were calculated for APC and we used a p-value of less than 0.05 as statistically significant. The joinpoint regression was performed by Joinpoint Regression Program, Version 4.5.0.1 (Statistical Methodology and Applications Branch, Surveillance Research Program, National Cancer Institute, Rockville, MD, USA). YLLs quantified the amount of life lost due to premature death from each cause [2]. The basic formula for YLLs is the following for a given cause c, age a, sex s and year t:
YLL(c,s,a,t) = N(c,s,a,t) × L(s,a)
where N(c,s,a,t) is the death number due to the cause c for the given age a and sex s in year t, and L(s,a) is the lost life compared with life expectancy for a death at age a for sex s [14]. The total YLLs for urban and rural areas were obtained by summing the YLL of all age groups. We adopted the recommended standard life expectancy values at birth of 80 years for men and 82.5 years for women. The average age at death was set to the mid-point of each age group, except for the oldest group in whom it was assumed to be 87.5 years [15]. The YLL rate was calculated through dividing the number of YLLs by the number of population in the same calendar year. The method of computing age-standardized YLL rate was similar to that of age-standardized mortality rate. The percent change was defined as the ratio of difference of YLL rates between 1990 and 2015 to the rates in 1990.

3. Results

3.1. Trends in Mortality Rates

Age-standardized mortality rates of CVDs and RDs for each year between 1990 and 2015 among urban and rural areas are shown in Figure 1. Continuing decline trends on age-standardized mortality rates were observed for RDs in both urban and rural areas and for CVDs among urban residents.
However, age-standardized mortality rates of CVDs did not decrease in rural areas from 1990 to 2015. Age-standardized mortality rates from CVDs among rural residents exceeded those among urban residents in 2006. Furthermore, age-standardized mortality rates of RDs for rural residents were higher than those for urban residents during the whole study period, but the rate gap between urban and rural residents has gradually narrowed down in recent years.
The age-standardized mortality rates of CVDs and RDs at the beginning (1990) and the end (2015) of the study period were shown in Table 1, followed with the average APC during the 26-year period and APC for each sub-period. The joinpoint analysis indicated that, similar to the results in Figure 1, age-standardized mortality rates of CVDs in urban areas declined significantly from 1990 to 2015, with a decrease of 1.9% per year. No change of age-standardized mortality rates of CVDs was observed among rural areas. Based on a further analysis of specific diseases, we noted that age-standardized mortality rates of chronic rheumatic heart disease and cerebrovascular disease decreased in both urban and rural areas during research period. From 1990 to 2015, the age-standardized mortality rates of ischemic heart disease didn’t change in urban areas, but increased significantly in rural areas. However, the age-standardized mortality rate of hypertensive heart disease didn’t change in both urban and rural areas. These might explain the reason of no decline in mortality rates of CVDs among rural areas.
Age-standardized mortality rates of RDs were trending downward from 1990 to 2015 in both urban and rural areas, with a decrease of 4.2% and 5.3% per year respectively. The steepest decreases were shown from chronic lower respiratory diseases in urban areas (5.6% per year) and from chronic lower respiratory diseases (5.3% per year) and pneumonia (5.6% per year) in rural areas. However, age-standardized mortality rates of pneumonia did not decrease in urban areas, with a significant decline from 1990 to 2005. Additionally, age-standardized mortality rates of pneumoconiosis did not decrease in rural areas.
During the study period, the age-specific mortality rates of CVDs generally decreased in middle and old age people (Table 2), but they increased in the 0- and 1- age group in both urban and rural areas and did not change significantly from 5- to 30- years old groups in urban areas or 5- to 15- and 30- to 40- years old groups in rural areas during research period. Age-specific mortality rates of RDs declined significantly in almost all age groups. The rate of decline from age-specific mortality rates of RDs was greater than those of CVDs.
Age-specific mortality rates of CVDs under 45 age group were lower than 100 per 100,000 (Figure 2). They gradually increased with age and were higher than 8000 per 100,000 for those 85 years and older age-group. Age-specific mortality rates of RDs under 45 age group were lower than 50 per 100,000 except for those under 1 age-group, which were 646.6 per 100,000 in rural areas and 203.8 per 100,000 in urban areas in 1990 (Figure 3). The mortality rates gradually increased with age and were higher than 3000 per 100,000 over 85 years old.

3.2. YLLs and Age-Standardized YLL Rates

Although the YLLs of CVDs for all population elevated in 2015 when compared with those in 1990, age-standardized YLL rates of CVDs decreased 35.2% in urban areas and 8.3% in rural areas (Table 3). However, it is worth noting that YLLs of chronic rheumatic heart disease have decreased and age-standardized YLL rates of hypertensive heart disease and ischemic heart disease have increased in both urban and rural areas from 1990 to 2015. And elevated percent change of age-standardized YLL rates from ischemic heart disease in rural area (132.9%) was much higher than that in urban area (18.0%). The YLLs of RDs in urban areas increased 43.5% and YLLs in rural areas decreased 78.8% from 1990 to 2015. The age-standardized YLL rates of RDs decreased 64.2% and 79.0% for urban and rural residents respectively.

4. Discussion

In the past 20 years, China has experienced rapid socioeconomic development. During this process, lifestyles, modes of transport and dietary habits have undergone dramatic changes. Meanwhile, medical services and an insurance system have been established and perfected [16]. Influence of those on mortality of CVDs and RDs has been noteworthy. In this study, we found that the trends on age-standardized mortality rates of RDs in both urban and rural areas decreased significantly from 1990 to 2015. Similar trends of CVDs were also observed for urban residents, but not for rural residents. We selected several major diseases of CVDs and RDs for further study. The decline of mortality rates from CVDs was attributed to significantly decreased mortality rates from chronic rheumatic heart disease and cerebrovascular disease. The decline of mortality rates from RDs was attributed to significantly decreased mortality rates from chronic lower respiratory diseases. The total burden of YLLs of CVDs in all residents and of RDs for urban residents increased, conversely total YLLs of RDs for rural residents declined in China from 1990 to 2015. The increased burden might be partly explained by population aging and growth [17,18].
CVDs were the primary cause of death for Chinese population in both urban and rural areas, accounting for about 42% of all deaths in urban areas and 45% of deaths in rural areas in 2015 [19]. Among CVDs, the deaths from chronic rheumatic heart disease, hypertensive heart disease, ischemic heart disease and cerebrovascular disease were 45.4 thousand, 227.6 thousand, 1.5 million, 2.0 million respectively in 2015 [3,20]. In present study, we observed that age-standardized mortality rates from chronic rheumatic heart disease and cerebrovascular disease decreased in both urban and rural areas from 1990 to 2015, which is similar to the results of Global Burden of Disease Study 2013. They found that the age-standardized mortality rates of rheumatic heart disease and cerebrovascular disease decreased 71.2% and 20.9% respectively in China in the past 20 years [21]. Possible reasons for the decline in mortality rate may be better control of risk factors, as well as the improvement of medical service and health system [22].
On the other hand, the age-standardized mortality rates from ischemic heart disease in rural areas, and not in urban areas gradually increased during the same period, which was consistent with previous studies by Jiang and Liu in China [23,24]. However, previous studies observed decline of age-standardized mortality rates from ischemic heart disease in some developed and developing countries over recent decades [25]. Further analyses indicated that the rise in mortality from hypertensive heart disease in urban and rural areas and ischemic heart disease in urban areas started later, after 2007, 2006 and 2004 respectively. Similarly, age-standardized YLL rates of hypertensive heart disease and ischemic heart disease increased in 2015 when compared with those in 1990 in both areas. Many factors such as unhealthy diet, alcohol abuse, hyperlipidemia and high blood pressure are reported to induce hypertensive heart disease or ischemic heart disease in published paper [26,27,28]. China increasingly needs to provide access to high-quality medical services and dietary guidance in communities with increasing rates of CVDs.
Possible reasons for significantly declining death rates from CVDs only in urban areas, and not in rural areas might be attributable to two points. The first is that medical level and service system in urban areas is better than those in rural areas, although both have been improved in the research period [22,29]. The second is that general education level or rate of high education in urban areas is higher compared with rural areas, which might cause rural residents to lack medical knowledge and healthcare consciousness. In addition, rural residents had higher rates of smoking [30], physical inactivity and hypertension compared with urban residents [31,32]. Such a diversity in health between urban and rural areas has been observed worldwide [33,34].
As shown in the age-specific mortality rate analysis, the middle and old people were high risk groups in CVDs. Though the mortality rates among middle and old people (over 45 years old) had a significant decrease from 1990 to 2015, the number of death increased because of population aging (3.9 million in 2015, 2.5 million in 1990). Conversely, the mortality rates under 45 years old didn’t show significant decline, but the number of death under 45 years old (99.1 thousand in 2015, 108.4 thousand in 1990) was less than those over 45 years old. It was worth noting that mortality increased under 5 years old. Therefore more efforts are needed in the prevention and control for the CVDs among people of all ages.
In China, RDs were the third leading cause of death, accounting for about 10% of deaths in 2015 [3]. Among RDs, the deaths from chronic lower respiratory diseases, pneumonia and pneumoconiosis were 610.4 thousand, 104.6 thousand and 4.3 thousand respectively in 2015 [3,20]. Further analysis indicated that age-standardized mortality rates from pneumoconiosis in urban areas, pneumonia in rural areas and chronic lower respiratory diseases in both areas declined significantly from 1990 to 2015. Similarly, age-standardized YLL rates of the considered diseases except for pneumoconiosis decreased in rural areas.
The major risk factors of RDs include tobacco smoke, air pollution, occupational dust exposure and so on [35]. An authoritative report indicated that smoking rates have shown a significant decline, and the smoking-cessation rate increased significantly from 1996 to 2010 [36]. The decreased rate of smoking could contribute to the decline of the mortality from RDs in the whole population. Moreover, the medical service and health care system are constantly improving, which is likely to have a large influence on the decline of mortality from RDs [37]. Though tobacco control efforts have accelerated exceeding expectations in the last few years [38], ambient air pollution in urban area has worsened in recent years [39]. Our results also indicated the age-standardized mortality rates from RDs in urban didn’t change from 2005 to 2015. Similar reports by Zeng and Maji suggested that exposure to particulate matter was significantly connected with elevated risk of dying from RDs [40,41]. The mortality from diseases maybe rise in the near future if the air pollutants cannot be controlled in urban areas.
To our knowledge, this is the first article to analyze the secular trend on the CVDs and RDs mortality rates in China with the joinpoint regression. We paid more attention to the comparison and analysis of mortality rates trends and YLLs of Chinese urban and rural residents. One limitation of this study is that mortality data were categorized by using ICD-9 codes before 2002 and ICD-10 codes thereafter, which may influence the study's results due to incomplete correspondence. However, the classification of CVDs and RDs in ICD-10 has not change greatly compared with that in ICD-9, and a previous study has shown the comparability of two versions in the analysis of mortality trend [42].

5. Conclusions

In total, the age-standardized mortality rates from CVDs and RDs gradually decreased from 1990 to 2015. The decline of the mortality rates from CVDs in urban area was greater than those in rural areas. Conversely, the decline of the mortality rates from RD in rural area was bigger than those in urban areas. With the decline in mortality rates and population growth and aging, increased burden of YLLs from CVDs in both urban and rural residents and from RDs in urban areas were observed. Health promotion and prevention programmes should focus on the major risk factors for CVDs and RDs.

Acknowledgments

This study was supported by the Fundamental Research Funds for the Central Universities (HUST 2016YXZD044, 2016JCTD116) and National key research and development program (2016YFC1303903). The founding sponsors had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author Contributions

Weiwei Sun, and Weihong Chen conceived and designed the subject, Weiwei Sun and Yun Zhou analyzed data. Weiwei Sun, Zhuang Zhang and Limin Cao prepared figures and tables, reviewed drafts of the paper. All authors were involved in writing the paper and had final approval of the submitted and published versions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Murray, C.J.L.; Barber, R.M.; Foreman, K.J.; Ozgoren, A.A.; Abd-Allah, F.; Abera, S.F.; Aboyans, V.; Abraham, J.P.; Abubakar, I.; Abu-Raddad, L.J.; et al. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990–2013: Quantifying the epidemiological transition. Lancet 2015, 386, 2145–2191. [Google Scholar] [CrossRef]
  2. Wang, H.; Naghavi, M.; Allen, C.; Barber, R.M.; Bhutta, Z.A.; Carter, A.; Casey, D.C.; Charlson, F.J.; Chen, A.Z.; Coates, M.M.; et al. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: A systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016, 388, 1459–1544. [Google Scholar] [CrossRef] [Green Version]
  3. National Health and Family Planning Commission. China Health and Family Planning Statistics Yearbook; Beijing Union Medical University Press: Beijing, China, 2016.
  4. Noncommunicable Diseases Country Profiles. Available online: http://www.who.int/nmh/countries/en/#C (accessed on 30 August 2017).
  5. Naghavi, M.; Wang, H.D.; Lozano, R.; Davis, A.; Liang, X.F.; Zhou, M.G.; Vollset, S.E.; Ozgoren, A.A.; Abdalla, S.; Abd-Allah, F.; et al. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: A systematic analysis for the global burden of disease study 2013. Lancet 2015, 385, 117–171. [Google Scholar]
  6. Krishnamurthi, R.V.; Feigin, V.L.; Forouzanfar, M.H.; Mensah, G.A.; Connor, M.; Bennett, D.A.; Moran, A.E.; Sacco, R.L.; Anderson, L.M.; Truelsen, T.; et al. Global and regional burden of first-ever ischaemic and haemorrhagic stroke during 1990–2010: Findings from the global burden of disease study 2010. Lancet Glob. Health 2013, 1, E259–E281. [Google Scholar] [CrossRef]
  7. Soriano, J.B.; Abajobir, A.A.; Abate, K.H.; Abera, S.F.; Agrawal, A.; Ahmed, M.B.; Aichour, A.N.; Aichour, I.; Aichour, M.T.E.; Alam, K.; et al. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990–2015: A systematic analysis for the global burden of disease study 2015. Lancet Respir. Med. 2017, 5, 691–706. [Google Scholar] [CrossRef]
  8. Du, S.F.; Lu, B.; Zhai, F.Y.; Popkin, B.M. A new stage of the nutrition transition in China. Public Health Nutr. 2002, 5, 169–174. [Google Scholar] [CrossRef] [PubMed]
  9. Tzoulaki, I.; Elliott, P.; Kontis, V.; Ezzati, M. Worldwide exposures to cardiovascular risk factors and associated health effects: Current knowledge and data gaps. Circulation 2016, 133, 2314–2333. [Google Scholar] [CrossRef] [PubMed]
  10. Bhatnagar, A. Environmental determinants of cardiovascular disease. Circ. Res. 2017, 121, 162–180. [Google Scholar] [CrossRef] [PubMed]
  11. Chen, B.; Hong, C.; Kan, H. Exposures and health outcomes from outdoor air pollutants in China. Toxicology 2004, 198, 291–300. [Google Scholar] [CrossRef] [PubMed]
  12. Shang, Y.; Sun, Z.; Cao, J.; Wang, X.; Zhong, L.; Bi, X.; Li, H.; Liu, W.; Zhu, T.; Huang, W. Systematic review of Chinese studies of short-term exposure to air pollution and daily mortality. Environ. Int. 2013, 54, 100–111. [Google Scholar] [CrossRef] [PubMed]
  13. National Bureau of Statistics of People’s Republic of China. Chinese Sixth Population Census. Available online: http://www.stats.gov.cn/tjsj/tjgb/ndtjgb/index.htm (accessed on 30 August 2017).
  14. Murray, C.J.L.; Vos, T.; Lozano, R.; Naghavi, M.; Flaxman, A.D.; Michaud, C.; Ezzati, M.; Shibuya, K.; Salomon, J.A.; Abdalla, S.; et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990–2010: A systematic analysis for the global burden of disease study 2010. Lancet 2012, 380, 2197–2223. [Google Scholar] [CrossRef]
  15. World Health Organization. National Burden of Disease Studies: A Practical Guide; World Health Organization: Geneva, Switzerland, 2001. [Google Scholar]
  16. Hu, S.; Tang, S.; Liu, Y.; Zhao, Y.; Escobar, M.L.; de Ferranti, D.; Wagstaff, A.; Lindelow, M. Reform of how health care is paid for in China: Challenges and opportunities. Lancet 2009. [Google Scholar] [CrossRef]
  17. Moran, A.; Gu, D.F.; Zhao, D.; Coxson, P.; Wang, Y.C.; Chen, C.S.; Liu, J.; Cheng, J.; Bibbins-Domingo, K.; Shen, Y.M.; et al. Future cardiovascular disease in China markov model and risk factor scenario projections from the coronary heart disease policy Model-China. Circ. Cardiovasc. Qual. 2010, 3, 243–252. [Google Scholar] [CrossRef] [PubMed]
  18. Lozano, R.; Naghavi, M.; Foreman, K.; Lim, S.; Shibuya, K.; Aboyans, V.; Abraham, J.; Adair, T.; Aggarwal, R.; Ahn, S.Y.; et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: A systematic analysis for the global burden of disease study 2010. Lancet 2012, 380, 2095–2128. [Google Scholar] [CrossRef]
  19. Weiwei, C.; Runlin, G.; Lisheng, L.; Manlu, Z.; Wen, W.; Yongjun, W.; Zhaosu, W.; Huijun, L.; Zhe, Z.; Lixin, J.; et al. Outline of the report on cardiovascular diseases in China, 2016. Chin. Circ. J. 2017, 32, 521–530. [Google Scholar]
  20. Department of Population and Employment Statistics of the National Bureau of Statistics of China. China Population and Employment Statistics Yearbook; China Statistics Press: Beijing, China, 2016.
  21. Zhou, M.G.; Wang, H.D.; Zhu, J.; Chen, W.Q.; Wang, L.H.; Liu, S.W.; Li, Y.C.; Wang, L.J.; Liu, Y.N.; Yin, P.; et al. Cause-specific mortality for 240 causes in China during 1990–2013: A systematic subnational analysis for the global burden of disease study 2013. Lancet 2016, 387, 251–272. [Google Scholar] [CrossRef]
  22. Liu, Y.; Rao, K.; Wu, J.; Gakidou, E. China’s health system performance. Lancet 2008, 372, 1914–1923. [Google Scholar] [CrossRef]
  23. Jiang, G.; Wang, D.; Li, W.; Pan, Y.; Zheng, W.; Zhang, H.; Sun, Y.V. Coronary heart disease mortality in China: Age, gender, and urban-rural gaps during epidemiological transition. Rev. Panam. Salud Publica 2012, 31, 317–324. [Google Scholar] [CrossRef] [PubMed]
  24. Mingbao, L.; Wen, W.; Maigeng, Z. Analysis of trends and characteristics of mortality of ischemic heart disease over the age of 35 years old in China, 2004–2011. Chin. J. Prev. Med. 2014. [Google Scholar] [CrossRef]
  25. Nowbar, A.N.; Howard, J.P.; Finegold, J.A.; Asaria, P.; Francis, D.P. 2014 global geographic analysis of mortality from ischaemic heart disease by country, age and income: Statistics from World Health Organisation and United Nations. Int. J. Cardiol. 2014, 174, 293–298. [Google Scholar] [CrossRef] [PubMed]
  26. Thaker, A.M.; Frishman, W.H. Sortilin the mechanistic link between genes, cholesterol, and coronary artery disease. Cardiol. Rev. 2014, 22, 91–96. [Google Scholar] [CrossRef] [PubMed]
  27. Roerecke, M.; Rehm, J. Irregular heavy drinking occasions and risk of ischemic heart disease: A systematic review and meta-analysis. Am. J. Epidemiol. 2010, 171, 633–644. [Google Scholar] [CrossRef] [PubMed]
  28. Georgiopoulou, V.V.; Kalogeropoulos, A.P.; Raggi, P.; Butler, J. Prevention, diagnosis, and treatment of hypertensive heart disease. Cardiol. Clin. 2010, 28, 675–691. [Google Scholar] [CrossRef] [PubMed]
  29. Zhaokang, Y.; Yuxi, L.; Yong, L.; Yunchang, X.; Yuanjun, G.; Harris, M. A model for community health service development in depressed rural areas in China. BMC Health Serv. Res. 2012, 12, 465–470. [Google Scholar] [CrossRef] [PubMed]
  30. Hu, T.W.; Mao, Z.; Liu, Y.; de Beyer, J.; Ong, M. Smoking, standard of living, and poverty in China. Tob. Control. 2005, 14, 247–250. [Google Scholar] [CrossRef] [PubMed]
  31. Li, W.; Gu, H.; Teo, K.K.; Bo, J.; Wang, Y.; Yang, J.; Wang, X.; Zhang, H.; Sun, Y.; Jia, X.; et al. ypertension prevalence, awareness, treatment, and control in 115 rural and urban communities involving 47,000 people from China. J. Hypertens. 2016, 34, 39–46. [Google Scholar] [CrossRef] [PubMed]
  32. Chen, H.S.; Liu, Y.; Zhu, Z.J.; Li, Z.G. Does where you live matter to your health? Investigating factors that influence the self-rated health of urban and rural Chinese residents: Evidence drawn from Chinese general social survey data. Health Qual. Life Outcomes 2017, 15, 78–88. [Google Scholar] [CrossRef] [PubMed]
  33. Bobak, M.; Pikhart, H.; Pajak, A.; Kubinova, R.; Malyutina, S.; Sebakova, H.; Topor-Madry, R.; Nikitin, Y.; Marmot, M. Depressive symptoms in urban population samples in Russia, Poland and the Czech Republic. Br. J. Psychiatry 2006, 188, 359–365. [Google Scholar] [CrossRef] [PubMed]
  34. Leinsalu, M.; Stirbu, I.; Vagero, D.; Kalediene, R.; Kovacs, K.; Wojtyniak, B.; Wroblewska, W.; Mackenbach, J.P.; Kunst, A.E. Educational inequalities in mortality in four Eastern European countries: Divergence in trends during the post-communist transition from 1990 to 2000. Int. J. Epidemiol. 2009, 38, 512–525. [Google Scholar] [CrossRef] [PubMed]
  35. World Health Organization. Global Surveillance, Prevention and Control of Chronic Respiratory Diseases: A Comprehensive Approach; World Health Organization: Geneva, Switzerland, 2007. [Google Scholar]
  36. National Center for Cardiovascular Diseases, China. Report on Cardiovascular Disease in China 2016; Encyclopedia of China Publishing House: Beijing, China, 2017. [Google Scholar]
  37. Chen, Z. Launch of the health-care reform plan in China. Lancet 2009, 373, 1322–1324. [Google Scholar] [CrossRef]
  38. Mackay, J. China: The tipping point in tobacco control. Br. Med. Bull. 2016, 120, 15–25. [Google Scholar] [CrossRef] [PubMed]
  39. Mandel, J.H.; Wendt, C.; Lo, C.; Zhou, G.; Hertz, M.; Ramachandran, G. Ambient air pollution and lung disease in China: Health effects, study design approaches and future research. Front. Med. 2015, 9, 392–400. [Google Scholar] [CrossRef] [PubMed]
  40. Zeng, Q.; Wu, Z.T.; Jiang, G.H.; Wu, X.Y.; Li, P.; Ni, Y.; Xiong, X.Q.; Wang, X.Y.; Li, G.; Pan, X.; et al. The association between ambient inhalable particulate matter and the disease burden of respiratory disease: An ecological study based on ten-year time series data in Tianjin, China. Environ. Res. 2017, 157, 71–77. [Google Scholar] [CrossRef] [PubMed]
  41. Maji, K.J.; Arora, M.; Dikshit, A.K. Burden of disease attributed to ambient PM2.5 and PM10 exposure in 190 cities in China. Environ. Sci. Pollut. Res. Int. 2017, 24, 11559–11572. [Google Scholar] [CrossRef] [PubMed]
  42. Anderson, R.N.; Minino, A.M.; Hoyert, D.L.; Rosenberg, H.M. Comparability of cause of death between ICD-9 and ICD-10: Preliminary estimates. Natl. Vital. Stat. Rep. 2001, 49, 1–32. [Google Scholar] [PubMed]
Figure 1. The trend on the age-standardized mortality rates of CVDs and RDs in urban and rural areas during 1990 to 2015.
Figure 1. The trend on the age-standardized mortality rates of CVDs and RDs in urban and rural areas during 1990 to 2015.
Ijerph 14 01391 g001
Figure 2. The age-specific mortality rates of CVDs in urban and rural areas in 1990 and 2015.
Figure 2. The age-specific mortality rates of CVDs in urban and rural areas in 1990 and 2015.
Ijerph 14 01391 g002
Figure 3. The age-specific mortality rates of RDs in urban and rural areas in 1990 and 2015.
Figure 3. The age-specific mortality rates of RDs in urban and rural areas in 1990 and 2015.
Ijerph 14 01391 g003
Table 1. Joinpoint analysis of age-standardized a mortality rates from CVDs and RDs in urban and rural areas.
Table 1. Joinpoint analysis of age-standardized a mortality rates from CVDs and RDs in urban and rural areas.
Mortality Rate (per 100,000)Total Study Period bPeriod 1Period 2Period 3Period 4
19902015Average APC (%)95% CIYearsAPC (%)YearsAPC (%)YearsAPC (%)YearsAPC (%)
CVDs in urban areas332.7227.7−1.9 c(−2.4, −1.4)-
Chronic rheumatic heart diseases 10.42.7−6.1 c(−6.9, −5.2)1990–2011−7.2 c2011–20158.3
Hypertensive heart disease8.310.81.3(−0.3, 2.9)1990–2007−1.62007–201510.6 c
Ischemic heart disease 29.147.30.8(−0.2, 1.9)1990–19983.31998–2006−5.4 c2006–20158.5 c
Cerebrovascular disease181.1107.2−2.8 c(−3.4, −2.2)1990–2008−3.7 c2008–20150.8
CVDs in rural areas 275.2261.40.0 (−0.5, 0.4)1990–20010.72001–2006−4.6 2006–20099.192009–2015−1.71
Chronic rheumatic heart diseases 10.82.9−5.9 c(−6.8, −5.1)-
Hypertensive heart disease9.916.51.0(−0.9, 2.9)1990–2006−3.2 c2006–201511.2 c
Ischemic heart disease 18.760.05.2 c(3.7, 6.7)1990–20004.1 c2000–2005−8.22005–200837.02008–20155.7
Cerebrovascular disease159.5131.6−0.6 c(−1.1, −0.2)-
RDs in urban areas 143.560.7−4.2 c(−4.9, −3.5)1990–2005−3.5 c2005–2008−14.42008–20151.9
Chronic lower respiratory diseases 117.944.0−5.6 c(−6.7, −4.6)-
Pneumonia 13.911.70.0(−1.0, 1.0)1990–2005−2.7 c2005–20155.0
Pneumoconiosis 0.80.6−2.3 c(−3.4, −1.1)-
RDs in rural areas 232.167.5−5.3 c(−6.0, −4.5)-
Chronic lower respiratory diseases 199.056.3−5.3 c(−6.0, −4.5)-
Pneumonia24.27.5−5.6 c(−6.7, −4.5)1990–2000−2.5 c2000–200321.7 2003–2015−1.4
Pneumoconiosis 0.50.50.9(−1.1, 3.0)-
a Standardised to the China sixth population census in 2010. b Years 1990 to 2015. - No joinpoints identified. Abbreviations: APC, annual percent change; CVDs, cardiovascular diseases; RDs, respiratory diseases. c Significantly difference from zero (p < 0.05).
Table 2. APC in age-specific mortality rates from CVDs and RDs in urban and rural areas.
Table 2. APC in age-specific mortality rates from CVDs and RDs in urban and rural areas.
Age GroupCVDs in Urban AreasCVDs in Rural Areas RDs in Urban AreasRDs in Rural Areas
Average APC (%)95% CIAverage APC (%)95% CIAverage APC (%)95% CIAverage APC (%)95% CI
03.7 a(0.4, 7.2)6.4 a (2.5, 10.4)−7.4 a(−9.1, −5.8)−13.6 a(−15.4, −11.5)
1–43.8 a(1.6, 6.0)3.8 a (1.1, 6.6)−3.2 a(−4.5, −1.8)−9.1 a(−11.1, −7.1)
5–91.4(−0.6, 3.4)1.3 (−0.8, 3.5)−3.6 a(−5.0, −2.1)−10.9 a(−13.7, −8.0)
10–140.6(−0.9, 2.0)1.6 (−0.0, 3.3)−1.9 a(−3.6, −0.1)−9.9 a(−12.8, −6.9)
15–192.2(1.1, 3.3)0.9(−0.9, 2.7)−1.2(−2.9, 0.5)−5.8 a(−9.1, −2.3)
20–240.1(−0.9, 1.2)−2.0 a(−3.3, −0.6)−2.4 a(−3.9, 0.8)−7.0 a(−8.8, −5.1)
25–29−0.2(−0.8, 0.5)−1.8 a(−3.4, −0.1)−2.1 a(−3.0, −1.1)−8.0 a(−10.2, −5.7)
30–34−0.1(−0.8, 0.6)−1.1(−2.7, 0.6)−3.0 a(−3.9, −2.0)−7.4 a(−9.4, −5.4)
35–39−0.5 a(−0.5, −0.0)−0.0(−0.7, 0.6)−3.4 a(−4.3, −2.5)−6.7 a(−7.9, −5.4)
40–44−0.4(−0.9, 0.1)−0.1(−0.8, 0.7)−3.4 a(−4.1, −2.6)−7.2 a(−8.5, −5.7)
45–49−1.3 a(−2.0, −0.6)−1.2 a(−2.4, −0.1)−3.6 a(−4.5, −2.7)−8.1 a(−9.6, −6.5)
50–54−1.0 a(−1.7, −0.4)−0.8 a(−1.5, −0.1)−3.3 a(−4.3, −2.4)−7.7 a(−8.9, −6.6)
55–59−2.6 a(−3.2, −2.1)−0.9 a(−1.4, −0.5)−4.6 a(−5.5, −3.6)−7.6 a(−8.8, −6.5)
60–64−3.4 a(−4.2, −2.5)−1.6 a(−2.1, −1.0)−5.7 a(−6.8, −4.6)−8.1 a(−9.2, −7.1)
65–69−3.3 a(−4.1, −2.5)−0.9 a(−1.6, −0.3)−5.6 a(−6.6, −4.5)−7.1 a(−8.1, −6.0)
70–74−3.1 a(−3.8, −2.5)−1.2 a(−1.8, −0.6)−5.5 a(−6.4, −4.6)−6.6 a(−7.5, −5.7)
75–79−2.3 a(−2.8, −1.9)−0.0(−0.5, 0.5)−4.7 a(−5.5, −4.0)−5.1 a(−5.9, −4.3)
80–84−1.5 a(−2.0, −1.1)0.4(−0.1, 0.9)−4.0 a(−4.7, −3.3)−4.3 a(−5.0, −3.6)
85+0.0(−0.6, 0.7)2.2 a (1.2, 3.2)−2.7 a(−3.3, −2.2)−2.4 a(−3.2, −1.5)
a Significantly difference from zero (p < 0.05). Abbreviations: APC, annual percent change; CVDs, cardiovascular diseases; RDs, respiratory diseases.
Table 3. YLLs and age-standardized YLL rates from CVDs and RDs for urban and rural areas in 1990 and 2015, with percent change between 1990 and 2015.
Table 3. YLLs and age-standardized YLL rates from CVDs and RDs for urban and rural areas in 1990 and 2015, with percent change between 1990 and 2015.
YLLs (10,000)Age-Standardized YLL Rate (per 100,000)
19902015Percent Change (%), 1990–201519902015Percent Change (%), 1990–2015
CVDs in urban areas 800.92385.6197.94365.62828.4−35.2
Chronic rheumatic heart disease 50.934.4−32.4234.140.7−82.6
Hypertensive heart disease16.095.7498.193.9113.520.9
Ischemic heart disease 166.7919.0451.3920.41085.718.0
Cerebrovascular disease428.31144.7167.32369.51359.1−42.6
CVDs in rural areas1983.32656.834.03745.43434.3−8.3
Chronic rheumatic heart disease 152.534.4−77.4252.345.5−82.0
Hypertensive heart disease60.3139.7131.7118.8175.047.3
Ischemic heart disease 281.0941.4235.0524.51221.4132.9
Cerebrovascular disease1069.91366.327.72069.51754.6−15.2
RDs in urban areas371.0532.543.51790.4640.5−64.2
Chronic lower respiratory disease 226.8361.859.51317.5432.4−67.2
Pneumonia 117.6120.02.0337.1147.4−56.3
Pneumoconiosis 2.55.6124.012.86.8−46.9
RDs in rural areas2783.0590.9−78.83571.0751.5−79.0
Chronic lower respiratory disease 1299.8457.9−64.82511.4568.1−77.4
Pneumonia 1420.188.1−93.8937.7121.5−87.0
Pneumoconiosis 5.37.745.310.110.54.0
Abbreviations: YLL, years of life lost; CVDs, cardiovascular diseases; RDs, respiratory diseases.

Share and Cite

MDPI and ACS Style

Sun, W.; Zhou, Y.; Zhang, Z.; Cao, L.; Chen, W. The Trends in Cardiovascular Diseases and Respiratory Diseases Mortality in Urban and Rural China, 1990–2015. Int. J. Environ. Res. Public Health 2017, 14, 1391. https://doi.org/10.3390/ijerph14111391

AMA Style

Sun W, Zhou Y, Zhang Z, Cao L, Chen W. The Trends in Cardiovascular Diseases and Respiratory Diseases Mortality in Urban and Rural China, 1990–2015. International Journal of Environmental Research and Public Health. 2017; 14(11):1391. https://doi.org/10.3390/ijerph14111391

Chicago/Turabian Style

Sun, Weiwei, Yun Zhou, Zhuang Zhang, Limin Cao, and Weihong Chen. 2017. "The Trends in Cardiovascular Diseases and Respiratory Diseases Mortality in Urban and Rural China, 1990–2015" International Journal of Environmental Research and Public Health 14, no. 11: 1391. https://doi.org/10.3390/ijerph14111391

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop