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The Impact of Mental Health Status on Health Consumption of the Elderly in China

Author

Listed:
  • Wen Liu

    (Business School, Shandong University, Weihai 264209, China)

  • Guosheng Han

    (Business School, Shandong University, Weihai 264209, China)

  • Xiangzi Yan

    (Business School, Shandong University, Weihai 264209, China)

  • Xuan Zhang

    (Business School, Shandong University, Jinan 250100, China)

  • Guangjie Ning

    (Business School, Shandong University, Weihai 264209, China)

  • Armigon Ravshanovich Akhmedov

    (Department of Hotel Management, Graduate School, Kyung Hee University, Seoul 02447, Korea)

  • William Cannon Hunter

    (Department of Convention Management, College of Hotel and Tourism, Kyung Hee University, Seoul 02447, Korea)

Abstract

Based on the national baseline survey data of the CHARLS2015, the comprehensive evaluation index of depression degree of the elderly in China is calculated using a principal component analysis method. The Tobit model is used to investigate the influence of mental health status with depression degree as a proxy variable on the health consumption of the elderly in China. The results show that the overall effect and the phased effect of depression on the health consumption of the elderly are positive. In other words, high levels of depression lead to a higher probability and amount of health consumption. Research findings show that chronic illness and increased social activity can weaken the effect of depression on the health spending of the elderly. Fully considering the factors affecting the mental health of elderly people is required to improve their level of mental health. Importantly, the quality audit system of health products and the supervision and management system of the health consumption market should be improved to realize the benign operation of the health consumption market.

Suggested Citation

  • Wen Liu & Guosheng Han & Xiangzi Yan & Xuan Zhang & Guangjie Ning & Armigon Ravshanovich Akhmedov & William Cannon Hunter, 2021. "The Impact of Mental Health Status on Health Consumption of the Elderly in China," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:12:p:6622-:d:578295
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    References listed on IDEAS

    as
    1. Suresh Ramanathan & Ann L. McGill, 2007. "Consuming with Others: Social Influences on Moment-to-Moment and Retrospective Evaluations of an Experience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(4), pages 506-524, July.
    2. Marta Estrela & Maria Teresa Herdeiro & Pedro Lopes Ferreira & Fátima Roque, 2020. "The Use of Antidepressants, Anxiolytics, Sedatives and Hypnotics in Europe: Focusing on Mental Health Care in Portugal and Prescribing in Older Patients," IJERPH, MDPI, vol. 17(22), pages 1-12, November.
    3. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    4. Heckman, James J., 2011. "Integrating Personality Psychology into Economics," IZA Discussion Papers 5950, Institute of Labor Economics (IZA).
    5. Jia Lu & Shabana Jamani & Joseph Benjamen & Eric Agbata & Olivia Magwood & Kevin Pottie, 2020. "Global Mental Health and Services for Migrants in Primary Care Settings in High-Income Countries: A Scoping Review," IJERPH, MDPI, vol. 17(22), pages 1-28, November.
    6. Baltagi, Badi H. & Moscone, Francesco, 2010. "Health care expenditure and income in the OECD reconsidered: Evidence from panel data," Economic Modelling, Elsevier, vol. 27(4), pages 804-811, July.
    7. Sofia Pappa & Joshua Barnett & Ines Berges & Nikolaos Sakkas, 2021. "Tired, Worried and Burned Out, but Still Resilient: A Cross-Sectional Study of Mental Health Workers in the UK during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(9), pages 1-14, April.
    8. Chi Zhang, 2017. "Population in China," Europe-Asia Studies, Taylor & Francis Journals, vol. 69(8), pages 1333-1334, September.
    9. Newhouse, Joseph P., 1987. "Cross national differences in health spending what do they mean?," Journal of Health Economics, Elsevier, vol. 6(2), pages 159-162, June.
    10. Marcel Bilger & Jean-Paul Chaze, 2008. "What Drives Individual Health Expenditure in Switzerland?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 144(III), pages 337-358, September.
    11. Marisa R. Eastman & Jessica M. Finlay & Lindsay C. Kobayashi, 2021. "Alcohol Use and Mental Health among Older American Adults during the Early Months of the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    12. Gerdtham, Ulf-G. & Jonsson, Bengt, 2000. "International comparisons of health expenditure: Theory, data and econometric analysis," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 1, pages 11-53, Elsevier.
    13. Joseph P. Newhouse, 1992. "Medical Care Costs: How Much Welfare Loss?," Journal of Economic Perspectives, American Economic Association, vol. 6(3), pages 3-21, Summer.
    14. Kahn, Barbara E & Isen, Alice M, 1993. "The Influence of Positive Affect on Variety Seeking among Safe, Enjoyable Products," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 257-270, September.
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    Cited by:

    1. Ji Wen & Xiaolin Mai & Wei Li & Xin Liu, 2022. "The Influence of Message Framing on Elderly Tourists’ Purchase Intentions of Health Services: A Case Study of Guangxi Bama," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
    2. Yating Chen & Luqi Li & Zhiji Tan & Chengcheng Ma & Binyan Wang & Qing Guo & Li Li, 2022. "Effects of Social Support and Loneliness on the Irrational Consumption Tendencies of Healthcare Products among the Elderly: A Structural Equation Model," IJERPH, MDPI, vol. 19(21), pages 1-13, November.

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