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Risk factors and non-communicable disease diagnosis in China

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  • Pan, Tianxin
  • Palmer, Michael

Abstract

The rise of non-communicable diseases has placed enormous stress on health systems leading to calls for improved prevention. This article examines the association of risk factors and non-communicable disease diagnosis in China using longitudinal data which enables us to control for important simultaneity bias. Using three waves of the China Family Panel Studies (CFPS) survey (2010–2014) and a dynamic model conditional on not having an NCD in the first period, we find positive association of being obese, using solid cooking fuels, history of frequent drinking, and household consumption expenditure during the preceding period on non-communicable disease onset. We find significant heterogeneity in risks across the population suggesting that a targeted policy response is required to reduce the burden of non-communicable disease in China.

Suggested Citation

  • Pan, Tianxin & Palmer, Michael, 2018. "Risk factors and non-communicable disease diagnosis in China," China Economic Review, Elsevier, vol. 50(C), pages 72-84.
    • Handle: RePEc:eee:chieco:v:50:y:2018:i:c:p:72-84
    DOI: 10.1016/j.chieco.2018.03.008
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    1. Du, Shufa & Mroz, Tom A. & Zhai, Fengying & Popkin, Barry M., 2004. "Rapid income growth adversely affects diet quality in China--particularly for the poor!," Social Science & Medicine, Elsevier, vol. 59(7), pages 1505-1515, October.
    2. GOLLEY, Jane & WEI, Zheng, 2015. "Population dynamics and economic growth in China," China Economic Review, Elsevier, vol. 35(C), pages 15-32.
    3. Jere R. Behrman & Julia A. Behrman & Nykia M. Perez, 2009. "On what diseases and health conditions should new economic research on health and development focus?," Health Economics, John Wiley & Sons, Ltd., vol. 18(S1), pages 109-128, April.
    4. Liao, Hua & Tang, Xin & Wei, Yi-Ming, 2016. "Solid fuel use in rural China and its health effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 900-908.
    5. Marcel Kerkhofs & Maarten Lindeboom, 1997. "Age related health dynamics and changes in labour market status," Health Economics, John Wiley & Sons, Ltd., vol. 6(4), pages 407-423, July.
    6. Petri Böckerman & Pekka Ilmakunnas, 2009. "Unemployment and self‐assessed health: evidence from panel data," Health Economics, John Wiley & Sons, Ltd., vol. 18(2), pages 161-179, February.
    7. Lei, Xiaoyan & Yin, Nina & Zhao, Yaohui, 2012. "Socioeconomic status and chronic diseases: The case of hypertension in China," China Economic Review, Elsevier, vol. 23(1), pages 105-121.
    8. Zhang, Xiaoyong & Dagevos, Hans & He, Yuna & van der Lans, Ivo & Zhai, Fengying, 2008. "Consumption and corpulence in China: A consumer segmentation study based on the food perspective," Food Policy, Elsevier, vol. 33(1), pages 37-47, February.
    9. Peng Nie & Alfonso Sousa-Poza & Jianhong Xue, 2016. "Fuel for Life: Domestic Cooking Fuels and Women’s Health in Rural China," IJERPH, MDPI, vol. 13(8), pages 1-22, August.
    10. Strauss, John & Thomas, Duncan, 2008. "Health over the Life Course," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 54, pages 3375-3474, Elsevier.
    11. Judith Banister & David E. Bloom & Larry Rosenberg, 2012. "Population Aging and Economic Growth in China," International Economic Association Series, in: Masahiko Aoki & Jinglian Wu (ed.), The Chinese Economy, chapter 6, pages 114-149, Palgrave Macmillan.
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    Cited by:

    1. Li, Fanlue & He, Ke & Wang, Yuejie & Zhang, Junbiao, 2021. "Does Indoor Air Pollution from Solid Fuels Influence the Mental Health of Rural Residents? Evidence from China," 2021 Conference, August 17-31, 2021, Virtual 315024, International Association of Agricultural Economists.
    2. Tien Thanh, Pham & Bao Duong, Pham, 2022. "The economic burden of non-communicable diseases on households and their coping mechanisms: Evidence from rural Vietnam," World Development, Elsevier, vol. 151(C).
    3. Frenkel, Aleksandr A. & Tikhomirov, Boris I. & Sergienko, Yakov V. & Surkov, Anton A., 2018. "Russian Economy in 2017–2019: The Prerequisites for a Breakthrough Have Not Yet Been Created [Экономика России В 2017–2019 Годах: Предпосылки Для Прорыва Пока Не Созданы]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 5, pages 24-49, October.

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    More about this item

    Keywords

    Non-communicable diseases; Risk factors; Longitudinal study; China;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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