IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i9p1529-d227135.html
   My bibliography  Save this article

Difference in Long-Term Trends in COPD Mortality between China and the U.S., 1992–2017: An Age–Period–Cohort Analysis

Author

Listed:
  • Haoyu Wen

    (Department of Preventive Medicine, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Cong Xie

    (Hubei Center for Disease Control and Prevention, Wuhan, Hubei 430079, China)

  • Lu Wang

    (Department of Preventive Medicine, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Fang Wang

    (Department of Preventive Medicine, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Yafeng Wang

    (Department of Preventive Medicine, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Xiaoxue Liu

    (Department of Preventive Medicine, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China)

  • Chuanhua Yu

    (Department of Preventive Medicine, School of Health Sciences, Wuhan University, #185 Donghu Road, Wuhan 430071, China
    Global Health Institute, Wuhan University, #8 Donghu Road, Wuchang District, Wuhan 430072, China)

Abstract

Complications due to chronic obstructive pulmonary disease (COPD) is a leading cause of death in China and the United States (U.S.). This study aimed to investigate the long-term trends in COPD mortality in China and the U.S. using data from the Global Burden of Disease Study 2017 (GBD 2017) and explore the age, period, and cohort effects independently by sex under the age–period–cohort (APC) framework. Taking the age group 40–44 years old, the period 1992–1996, and the birth cohort 1913–1917 as reference groups, we found that the age relative risks (RRs) of COPD mortality increased exponentially in both China and the U.S., the period RRs increased in the U.S. but decreased in China; and the cohort RRs showed an overall downward trend in both China and the U.S. with the year of birth. From 1992 to 2017, the increased RRs of COPD mortality in the U.S. was mainly attributable to the increased prevalence of smoking before 1965, while the decreased RRs of COPD mortality in China was mainly attributable to reduced air pollution as well as improvements in medical technology and more accessible health services. Reducing tobacco consumption may be the most effective and feasible way to prevent COPD in China. However, we also need to pay more attention to COPD in nonsmokers in the future.

Suggested Citation

  • Haoyu Wen & Cong Xie & Lu Wang & Fang Wang & Yafeng Wang & Xiaoxue Liu & Chuanhua Yu, 2019. "Difference in Long-Term Trends in COPD Mortality between China and the U.S., 1992–2017: An Age–Period–Cohort Analysis," IJERPH, MDPI, vol. 16(9), pages 1-15, April.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1529-:d:227135
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/9/1529/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/9/1529/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Hufeng & Gusmano, Michael K. & Cao, Qi, 2011. "An evaluation of the policy on community health organizations in China: Will the priority of new healthcare reform in China be a success?," Health Policy, Elsevier, vol. 99(1), pages 37-43, January.
    2. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    3. Wang, Hufeng, 2009. "A dilemma of Chinese healthcare reform: How to re-define government roles?," China Economic Review, Elsevier, vol. 20(4), pages 598-604, December.
    4. Qingkun Song & David C. Christiani & XiaorongWang & Jun Ren, 2014. "The Global Contribution of Outdoor Air Pollution to the Incidence, Prevalence, Mortality and Hospital Admission for Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 11(11), pages 1-11, November.
    5. Hang Qiu & Kun Tan & Feiyu Long & Liya Wang & Haiyan Yu & Ren Deng & Hu Long & Yanlong Zhang & Jingping Pan, 2018. "The Burden of COPD Morbidity Attributable to the Interaction between Ambient Air Pollution and Temperature in Chengdu, China," IJERPH, MDPI, vol. 15(3), pages 1-15, March.
    6. Liying Luo, 2013. "Assessing Validity and Application Scope of the Intrinsic Estimator Approach to the Age-Period-Cohort Problem," Demography, Springer;Population Association of America (PAA), vol. 50(6), pages 1945-1967, December.
    7. Yang Yang, 2008. "Trends in U.S. adult chronic disease mortality, 1960–1999: age, period, and cohort variations," Demography, Springer;Population Association of America (PAA), vol. 45(2), pages 387-416, May.
    8. Smith, Kirk R. & Shuhua, Gu & Kun, Huang & Daxiong, Qiu, 1993. "One hundred million improved cookstoves in China: How was it done?," World Development, Elsevier, vol. 21(6), pages 941-961, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luqi Wang & Weibing Wang, 2021. "Temporal Trends in Notification and Mortality of Tuberculosis in China, 2004–2019: A Joinpoint and Age–Period–Cohort Analysis," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    2. Yan Guo & Jianjun Bai & Xiaoxia Zhang & Qiman Jin & Yijun Liu & Chuanhua Yu, 2022. "Secular Trends of Mortality and Years of Life Lost Due to Chronic Obstructive Pulmonary Disease in Wuhan, China from 2010 to 2019: Age-Period-Cohort Analysis," IJERPH, MDPI, vol. 19(17), pages 1-11, August.

    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. Ryan Masters & Robert Hummer & Daniel Powers & Audrey Beck & Shih-Fan Lin & Brian Finch, 2014. "Long-Term Trends in Adult Mortality for U.S. Blacks and Whites: An Examination of Period- and Cohort-Based Changes," Demography, Springer;Population Association of America (PAA), vol. 51(6), pages 2047-2073, December.
    2. Yiran Cui & Hui Shen & Fang Wang & Haoyu Wen & Zixin Zeng & Yafeng Wang & Chuanhua Yu, 2020. "A Long-Term Trend Study of Tuberculosis Incidence in China, India and United States 1992–2017: A Joinpoint and Age–Period–Cohort Analysis," IJERPH, MDPI, vol. 17(9), pages 1-19, May.
    3. Patrick Denice, 2017. "Back to School: Racial and Gender Differences in Adults’ Participation in Formal Schooling, 1978–2013," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 1147-1173, June.
    4. Azevedo, I. & Leal, V., 2021. "A new model for ex-post quantification of the effects of local actions for climate change mitigation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    5. Li, Kunming & Fang, Liting & He, Lerong, 2019. "How population and energy price affect China's environmental pollution?," Energy Policy, Elsevier, vol. 129(C), pages 386-396.
    6. Xu, Bin & Lin, Boqiang, 2018. "Do we really understand the development of China's new energy industry?," Energy Economics, Elsevier, vol. 74(C), pages 733-745.
    7. Zhenkai Yang & Mei-Chih Wang & Tsangyao Chang & Wing-Keung Wong & Fangjhy Li, 2022. "Which Factors Determine CO 2 Emissions in China? Trade Openness, Financial Development, Coal Consumption, Economic Growth or Urbanization: Quantile Granger Causality Test," Energies, MDPI, vol. 15(7), pages 1-18, March.
    8. Ahmed, Khalid, 2015. "The sheer scale of China’s urban renewal and CO2 emissions: Multiple structural breaks, long-run relationship and short-run dynamics," MPRA Paper 71035, University Library of Munich, Germany.
    9. Jo Mhairi Hale, 2017. "Cognitive Disparities: The Impact of the Great Depression and Cumulative Inequality on Later-Life Cognitive Function," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2125-2158, December.
    10. Setareh Katircioglu, 2022. "Estimating the role of urban development in environment quality: Evidence from G7 countries," Energy & Environment, , vol. 33(2), pages 283-314, March.
    11. Nadine Ouellette & Magali Barbieri & John R. Wilmoth, 2014. "Period-Based Mortality Change: Turning Points in Trends since 1950," Population and Development Review, The Population Council, Inc., vol. 40(1), pages 77-106, March.
    12. Okoampah, Sarah, 2016. "Cohort size effects on wages, working status, and work time," Ruhr Economic Papers 629, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    13. Yi-Bin Chiu & Wenwen Zhang, 2023. "Moderating Effect of Financial Development on the Relationship between Renewable Energy and Carbon Emissions," Energies, MDPI, vol. 16(3), pages 1-18, February.
    14. Koffi Ekouevi & Voravate Tuntivate, 2012. "Household Energy Access for Cooking and Heating : Lessons Learned and the Way Forward," World Bank Publications - Books, The World Bank Group, number 9372.
    15. Nan, Shijing & Huo, Yuchen & You, Wanhai & Guo, Yawei, 2022. "Globalization spatial spillover effects and carbon emissions: What is the role of economic complexity?," Energy Economics, Elsevier, vol. 112(C).
    16. Hui Zheng & Jonathan Dirlam & Paola Echave, 2021. "Divergent Trends in the Effects of Early Life Factors on Adult Health," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(5), pages 1119-1148, October.
    17. He, Chao & Zhang, Quanguo & Ren, Jingzheng & Li, Zhaoling, 2017. "Combined cooling heating and power systems: Sustainability assessment under uncertainties," Energy, Elsevier, vol. 139(C), pages 755-766.
    18. Jeuland, Marc & Fetter, T. Robert & Li, Yating & Pattanayak, Subhrendu K. & Usmani, Faraz & Bluffstone, Randall A. & Chávez, Carlos & Girardeau, Hannah & Hassen, Sied & Jagger, Pamela & Jaime, Mónica , 2021. "Is energy the golden thread? A systematic review of the impacts of modern and traditional energy use in low- and middle-income countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    19. Ryan K. Masters & Daniel A. Powers & Robert A. Hummer & Audrey Beck & Shih-Fan Lin & Brian Karl Finch, 2016. "Fitting Age-Period-Cohort Models Using the Intrinsic Estimator: Assumptions and Misapplications," Demography, Springer;Population Association of America (PAA), vol. 53(4), pages 1253-1259, August.
    20. Yu, Yantuan & Zhang, Ning & Kim, Jong Dae, 2020. "Impact of urbanization on energy demand: An empirical study of the Yangtze River Economic Belt in China," Energy Policy, Elsevier, vol. 139(C).

    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:16:y:2019:i:9:p:1529-:d:227135. 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.