IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i19p3684-d272333.html
   My bibliography  Save this article

The Relationship between Cognitive Impairment and Social Vulnerability among the Elderly: Evidence from an Unconditional Quantile Regression Analysis in China

Author

Listed:
  • Junkai Zhao

    (Business School, Sichuan University, Chengdu 610064, China)

  • Xinxin Zhang

    (Business School, Sichuan University, Chengdu 610064, China)

  • Zongmin Li

    (Business School, Sichuan University, Chengdu 610064, China)

Abstract

As the global proportion of the elderly population has been growing rapidly, it has become important to better understand the holistic social factors involved in cognitive impairment in the elderly. To investigate the relationship between social vulnerability and cognitive impairment in the elderly, this study applied an unconditional quantile regression model on open source health survey data in China. It was used to estimate the relationship for full sample and subsamples divided by different levels of a specific covariate. It was found that the cognitive impairment had a positive association with social vulnerability, and this relationship is stronger at the higher cognitive impairment quantiles. The cognitive impairment of females and elderly who took less exercise; had lower self-rated health; had greater incidences of depression, chronic diseases, and physical limitations; and consumed less fruit and vegetables, milk and tea were more related to social vulnerability. These results provide some insights into the strategies that could be used by the elderly to decrease the risk of cognitive impairment.

Suggested Citation

  • Junkai Zhao & Xinxin Zhang & Zongmin Li, 2019. "The Relationship between Cognitive Impairment and Social Vulnerability among the Elderly: Evidence from an Unconditional Quantile Regression Analysis in China," IJERPH, MDPI, vol. 16(19), pages 1-12, September.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3684-:d:272333
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/19/3684/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/19/3684/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Je-Liang Liou, 2019. "Effect of Income Heterogeneity on Valuation of Mortality Risk in Taiwan: An Application of Unconditional Quantile Regression Method," IJERPH, MDPI, vol. 16(9), pages 1-15, May.
    2. Bijan J. Borah & Anirban Basu, 2013. "Highlighting Differences Between Conditional And Unconditional Quantile Regression Approaches Through An Application To Assess Medication Adherence," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1052-1070, September.
    3. Johanna Catherine Maclean & Douglas A. Webber & Joachim Marti, 2014. "An Application of Unconditional Quantile Regression to Cigarette Taxes," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 33(1), pages 188-210, January.
    4. Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
    5. Tu N. Nguyen & Patrice Ngangue & Tarek Bouhali & Bridget L. Ryan & Moira Stewart & Martin Fortin, 2019. "Social Vulnerability in Patients with Multimorbidity: A Cross-Sectional Analysis," IJERPH, MDPI, vol. 16(7), pages 1-9, April.
    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. Fernandez, Mario Andres & Bucaram, Santiago, 2019. "The changing face of environmental amenities: Heterogeneity across housing submarkets and time," Land Use Policy, Elsevier, vol. 83(C), pages 449-460.
    2. McInerney, Melissa & Meiselbach, Mark K., 2020. "Distributional Effects of Recent Health Insurance Expansions on Weight-Related Outcomes," Economics & Human Biology, Elsevier, vol. 38(C).
    3. Vincenzo Andrietti & Xuejuan Su, 2019. "Education curriculum and student achievement: theory and evidence," Education Economics, Taylor & Francis Journals, vol. 27(1), pages 4-19, January.
    4. Erik Nesson, 2017. "Heterogeneity in Smokers' Responses to Tobacco Control Policies," Health Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 206-225, February.
    5. Simone Balestra & Uschi Backes-Gellner, 2014. "Heterogeneous effects of pupil-to-teacher ratio policies - A look at class size reduction and teacher aide," Economics of Education Working Paper Series 0102, University of Zurich, Department of Business Administration (IBW), revised Apr 2017.
    6. Simone Balestra & Uschi Backes-Gellner, 2017. "Heterogeneous effects of pupil-to-teacher ratio policies - A look at class size reduction and teacher aide," Economics of Education Working Paper Series 0130, University of Zurich, Department of Business Administration (IBW).
    7. Ludo Peeters & Eloi Schreurs & Steven Passel, 2017. "Heterogeneous Impact of Soil Contamination on Farmland Prices in the Belgian Campine Region: Evidence from Unconditional Quantile Regressions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(1), pages 135-168, January.
    8. Dong, Xiyong & Li, Changhong & Yoon, Seong-Min, 2020. "Asymmetric dependence structures for regional stock markets: An unconditional quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    9. Hajime Seya & Kay W. Axhausen & Makoto Chikaraishi, 2020. "Spatial unconditional quantile regression: application to Japanese parking price data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 65(2), pages 351-402, October.
    10. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    11. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    12. Das, Debojyoti & Kannadhasan, M. & Bhattacharyya, Malay, 2019. "Do the emerging stock markets react to international economic policy uncertainty, geopolitical risk and financial stress alike?," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 1-19.
    13. Karthigai Prakasam Chellaswamy & Natchimuthu N & Muhammadriyaj Faniband, 2020. "Stock Market Sensitivity to Macroeconomic Factors: Evidence from China and India," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(2), pages 146-159, February.
    14. Fang, Sheng & Egan, Paul, 2018. "Measuring contagion effects between crude oil and Chinese stock market sectors," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 31-38.
    15. Zhou, Zhongbao & Lin, Ling & Li, Shuxian, 2018. "International stock market contagion: A CEEMDAN wavelet analysis," Economic Modelling, Elsevier, vol. 72(C), pages 333-352.
    16. Addi, Abdelhamid & Bouoiyour, Jamal, 2023. "Interconnectedness and extreme risk: Evidence from dual banking systems," Economic Modelling, Elsevier, vol. 120(C).
    17. Stefan Schneck, 2018. "The Effect of Self-Employment on Income Inequality," SOEPpapers on Multidisciplinary Panel Data Research 999, DIW Berlin, The German Socio-Economic Panel (SOEP).
    18. Ahmed, Walid M.A., 2021. "Stock market reactions to upside and downside volatility of Bitcoin: A quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    19. Bianchi, Robert J. & Fan, John Hua & Todorova, Neda, 2020. "Financialization and de-financialization of commodity futures: A quantile regression approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    20. Alqahtani, Faisal & Hamdi, Besma & Hammoudeh, Shawkat, 2021. "The effects of global factors on the Saudi Arabia equity market by firm size: Implications for risk management based on quantile analysis and frequency domain causality," Journal of Multinational Financial Management, Elsevier, vol. 61(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:19:p:3684-:d:272333. 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.