IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i7p772-d104578.html
   My bibliography  Save this article

Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis

Author

Listed:
  • Lisha Luo

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Junfeng Jiang

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Ganshen Zhang

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Lu Wang

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Zhenkun Wang

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Jin Yang

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Chuanhua Yu

    (Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China
    Global Health Institute, Wuhan University, #8 Donghu Road, Wuhan 430072, China)

Abstract

In this study, we analyzed the temporal and spatial variations of stroke mortality attributable to ambient particulate matter pollution (stroke mortality-PM 2.5 ) in China from 1990 to 2015. Data were collected from the Global Burden of Disease (GBD) 2015 study and analyzed by an age-period-cohort model (APC) with an intrinsic estimator (IE) algorithm, as well as spatial autocorrelation based on the Geographic Information System. Based on APC analysis with the IE method, stroke mortality-PM 2.5 increased exponentially with age, its relative risk reaching 42.85 (95% CI: 28.79, 63.43) in the 75–79 age group. The period effects showed a reversed V-shape and its highest relative risk was 1.22 (95% CI: 1.15, 1.27) in 2005. The cohort effects decreased monotonically from 1915–1919 to 1990–1994. The change rate fluctuated from 1920–1924 to 1990–1994, including three accelerating and three decelerating decreases. There was a positive spatial autocorrelation in stroke mortality-PM 2.5 from 1990 to 2015. Hot-spots moved from the northeastern areas to the middle and southwestern areas, whereas cold-spots lay mostly in coastal provinces. Besides the aging process in recent years, stroke mortality-PM 2.5 had significantly declined from 2005 to 2015 due to socio-economic and healthcare development. Stroke mortality-PM 2.5 varied substantially among different regions, and cost-effective prevention and control should be implemented more in the middle and southwestern areas of China.

Suggested Citation

  • Lisha Luo & Junfeng Jiang & Ganshen Zhang & Lu Wang & Zhenkun Wang & Jin Yang & Chuanhua Yu, 2017. "Stroke Mortality Attributable to Ambient Particulate Matter Pollution from 1990 to 2015 in China: An Age-Period-Cohort and Spatial Autocorrelation Analysis," IJERPH, MDPI, vol. 14(7), pages 1-17, July.
  • Handle: RePEc:gam:jijerp:v:14:y:2017:i:7:p:772-:d:104578
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/7/772/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/14/7/772/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jinyao Wang & Zhiqiang Bai & Zhenkun Wang & Chuanhua Yu, 2016. "Comparison of Secular Trends in Cervical Cancer Mortality in China and the United States: An Age-Period-Cohort Analysis," IJERPH, MDPI, vol. 13(11), pages 1-16, November.
    2. Wolfgang Lutz & Warren Sanderson & Sergei Scherbov, 2008. "The coming acceleration of global population ageing," Nature, Nature, vol. 451(7179), pages 716-719, February.
    3. Junzhe Bao & Xiping Yang & Zhiyuan Zhao & Zhenkun Wang & Chuanhua Yu & Xudong Li, 2015. "The Spatial-Temporal Characteristics of Air Pollution in China from 2001–2014," IJERPH, MDPI, vol. 12(12), pages 1-13, December.
    4. Yana Jin & Henrik Andersson & Shiqiu Zhang, 2016. "Air Pollution Control Policies in China: A Retrospective and Prospects," IJERPH, MDPI, vol. 13(12), pages 1-22, December.
    5. Cohen, A.K. & Syme, S.L., 2013. "Education: A missed opportunity for public health intervention," American Journal of Public Health, American Public Health Association, vol. 103(6), pages 997-1001.
    6. Gang Lin & Jingying Fu & Dong Jiang & Wensheng Hu & Donglin Dong & Yaohuan Huang & Mingdong Zhao, 2013. "Spatio-Temporal Variation of PM 2.5 Concentrations and Their Relationship with Geographic and Socioeconomic Factors in China," IJERPH, MDPI, vol. 11(1), pages 1-14, December.
    7. Zhenkun Wang & Jinyao Wang & Junzhe Bao & Xudong Gao & Chuanhua Yu & Huiyun Xiang, 2016. "Temporal Trends of Suicide Mortality in Mainland China: Results from the Age-Period-Cohort Framework," IJERPH, MDPI, vol. 13(8), pages 1-10, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiaoxue Liu & Chuanhua Yu & Yongbo Wang & Yongyi Bi & Yu Liu & Zhi-Jiang Zhang, 2019. "Trends in the Incidence and Mortality of Diabetes in China from 1990 to 2017: A Joinpoint and Age-Period-Cohort Analysis," IJERPH, MDPI, vol. 16(1), pages 1-14, January.
    2. Ruiqing Li & Jinyi Sun & Tong Wang & Lihong Huang & Shuwen Wang & Panglin Sun & Chuanhua Yu, 2022. "Comparison of Secular Trends in Esophageal Cancer Mortality in China and Japan during 1990–2019: An Age-Period-Cohort Analysis," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    3. Dongsheng Zhan & Mei-Po Kwan & Wenzhong Zhang & Shaojian Wang & Jianhui Yu, 2017. "Spatiotemporal Variations and Driving Factors of Air Pollution in China," IJERPH, MDPI, vol. 14(12), pages 1-18, December.
    4. Elizabeth T Cafiero-Fonseca & Andrew Stawasz & Sydney T Johnson & Reiko Sato & David E Bloom, 2017. "The full benefits of adult pneumococcal vaccination: A systematic review," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-23, October.
    5. Yun-Sook Jung & Taejun Park & Eun-Kyong Kim & Seong-Hwa Jeong & Young-Eun Lee & Min-Jeong Cho & Keun-Bae Song & Youn-Hee Choi, 2022. "Influence of Chewing Ability on Elderly Adults’ Cognitive Functioning: The Mediating Effects of the Ability to Perform Daily Life Activities and Nutritional Status," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
    6. Junming Li & Meijun Jin & Honglin Li, 2019. "Exploring Spatial Influence of Remotely Sensed PM 2.5 Concentration Using a Developed Deep Convolutional Neural Network Model," IJERPH, MDPI, vol. 16(3), pages 1-11, February.
    7. Pilar García-Gómez & Sergi Jiménez-Martín & Judit Vall Castelló, 2014. "Financial Incentives, Health, and Retirement in Spain," NBER Chapters, in: Social Security Programs and Retirement Around the World: Disability Insurance Programs and Retirement, pages 455-495, National Bureau of Economic Research, Inc.
    8. Hugo Benítez-Silva & Eva Cárceles-Poveda & Selçuk Eren, 2011. "Effects of Legal and Unauthorized Immigration on the U.S. Social Security System," Working Papers wp250, University of Michigan, Michigan Retirement Research Center.
    9. Yixuan Liu & Liumeng Li & Guomei Miao & Xinyan Yang & Yinghui Wu & Yanling Xu & Yonghong Gao & Yongzhi Zhan & Yiwei Zhong & Shujuan Yang, 2021. "Relationship between Children’s Intergenerational Emotional Support and Subjective Well-Being among Middle-Aged and Elderly People in China: The Mediation Role of the Sense of Social Fairness," IJERPH, MDPI, vol. 19(1), pages 1-12, December.
    10. Ling Yao & Ning Lu, 2014. "Particulate Matter Pollution and Population Exposure Assessment over Mainland China in 2010 with Remote Sensing," IJERPH, MDPI, vol. 11(5), pages 1-10, May.
    11. Yu Zhang & Jiayu Wu & Chunyao Zhou & Qingyu Zhang, 2019. "Installation Planning in Regional Thermal Power Industry for Emissions Reduction Based on an Emissions Inventory," IJERPH, MDPI, vol. 16(6), pages 1-13, March.
    12. Mihajlo (Michael) Jakovljevic & Laura Romeu-Gordo & Mira Vukovic & Maja Krstic, 2017. "Gender-Specific Health-Seeking Behavior and Income Status among the Elderly Citizens of Serbia," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 3(1), pages 67-86.
    13. Lingzhi Li & Jingfeng Yuan & Kathy O. Roper & Zhipeng Zhou, 2017. "A Multi-Stakeholder Delphi Study to Determine Key Space Management Components for Elderly Facilities in China," Sustainability, MDPI, vol. 9(9), pages 1-19, September.
    14. Feifei Bu & Alasdair Rutherford, 2019. "Dementia, home care and institutionalisation from hospitals in older people," European Journal of Ageing, Springer, vol. 16(3), pages 283-291, September.
    15. Felipe Vásquez & Gibran Vita & Daniel B. Müller, 2018. "Food Security for an Aging and Heavier Population," Sustainability, MDPI, vol. 10(10), pages 1-19, October.
    16. Andreas Irmen, 2021. "Automation, growth, and factor shares in the era of population aging," Journal of Economic Growth, Springer, vol. 26(4), pages 415-453, December.
    17. Jingju Pan & Lan Zhang & Yumeng Tang & Qian Li & Chuanhua Yu & Tianjing He, 2018. "Sharply Reduced but Still Heavy Self-Harm Burdens in Hubei Province, China, 1990–2015," IJERPH, MDPI, vol. 15(2), pages 1-14, February.
    18. Hugo Benítez-Silva & Richard Disney & Sergi Jiménez-Martín, 2010. "Disability, capacity for work and the business cycle: an international perspective [Has the boom in incapacity benefit claimant numbers passed its peak?]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 25(63), pages 483-536.
    19. Jianhua Wang & Susumu Ogawa, 2015. "Effects of Meteorological Conditions on PM 2.5 Concentrations in Nagasaki, Japan," IJERPH, MDPI, vol. 12(8), pages 1-13, August.
    20. Song, Wenfei & Han, Xianfeng, 2022. "The bilateral effects of foreign direct investment on green innovation efficiency: Evidence from 30 Chinese provinces," Energy, Elsevier, vol. 261(PB).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:14:y:2017:i:7:p:772-:d:104578. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.