IDEAS home Printed from https://ideas.repec.org/a/eee/joecag/v17y2020ics2212828x2030027x.html
   My bibliography  Save this article

Internet use and cognition among middle-aged and older adults in China: A cross-lagged panel analysis

Author

Listed:
  • Yu, Dandan
  • Fiebig, Denzil G.

Abstract

The present study examines the reciprocal relationship between Internet use and cognitive function over time among middle-aged and older populations in China. We use data from the first three waves of the China Health and Retirement Longitudinal Study (CHARLS), where participants provided information on Internet use and cognitive function measures at the baseline in 2011 as well as two follow-ups in 2013 and 2015. Cross-lagged panel models were fitted to test the reciprocal association over these four years. Middle-aged and older individuals with higher cognitive function were more likely to be regular Internet users. After controlling for the effects of cognition two years prior, Internet users tended to score higher on cognitive tests than non-users. These findings survived across alternative subsamples and model specifications. Our results suggest that cognitive decline in later life may explain the lower technology adoption rate among older individuals. Meanwhile, Internet use could serve as a protective factor against cognitive decline in mid-life and older adulthood.

Suggested Citation

  • Yu, Dandan & Fiebig, Denzil G., 2020. "Internet use and cognition among middle-aged and older adults in China: A cross-lagged panel analysis," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    • Handle: RePEc:eee:joecag:v:17:y:2020:i:c:s2212828x2030027x
    DOI: 10.1016/j.jeoa.2020.100262
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2212828X2030027X
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jeoa.2020.100262?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Xiaoyan Lei & Yuqing Hu & John J. McArdle & James P. Smith & Yaohui Zhao, 2012. "Gender Differences in Cognition among Older Adults in China," Journal of Human Resources, University of Wisconsin Press, vol. 47(4), pages 951-971.
    2. Lei, Xiaoyan & Smith, James P. & Sun, Xiaoting & Zhao, Yaohui, 2014. "Gender differences in cognition in China and reasons for change over time: Evidence from CHARLS," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 46-55.
    3. Kämpfen, Fabrice & Maurer, Jürgen, 2018. "Does education help “old dogs” learn “new tricks”? The lasting impact of early-life education on technology use among older adults," Research Policy, Elsevier, vol. 47(6), pages 1125-1132.
    4. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    5. Peng Nie & Alfonso Sousa-Poza & Galit Nimrod, 2017. "Internet Use and Subjective Well-Being in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 489-516, May.
    6. Strauss, John & Lei, Xiaoyan & Park, Albert & Shen, Yan & Smith, James P. & Yang, Zhe & Zhao, Yaohui, 2010. "Health Outcomes and Socio-Economic Status among the Elderly in China: Evidence from the CHARLS Pilot," IZA Discussion Papers 5152, Institute of Labor Economics (IZA).
    7. repec:ran:wpaper:774 is not listed on IDEAS
    8. Janelle W Myhre & Matthias R Mehl & Elizabeth L Glisky, 2017. "Cognitive Benefits of Online Social Networking for Healthy Older Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(5), pages 752-760.
    9. Zheng, Shilin & Duan, Yuwei & Ward, Michael R., 2019. "The effect of broadband internet on divorce in China," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 99-114.
    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. Xiaofan Zuo & Zhisheng Hong, 2022. "The Impact of Internet Use on Perception of the Poor–Rich Gap: Empirical Evidence from China," Sustainability, MDPI, vol. 14(6), pages 1-18, March.
    2. Leogrande, Angelo, 2024. "Regular Internet Users Across the Italian Regions," SocArXiv 86yb7, Center for Open Science.
    3. Xuehao Bi & Bo Wen & Wei Zou, 2022. "The Role of Internet Development in China’s Grain Production: Specific Path and Dialectical Perspective," Agriculture, MDPI, vol. 12(3), pages 1-14, March.
    4. Lei, Lei & Yu, Dandan & Zhou, Yang, 2023. "Better educated children, better Internet-connected elderly parents," Research Policy, Elsevier, vol. 52(4).
    5. Zhihao Jia & Yan Gao & Liangyu Zhao & Suyue Han, 2022. "Longitudinal Relationship between Cognitive Function and Health-Related Quality of Life among Middle-Aged and Older Patients with Diabetes in China: Digital Usage Behavior Differences," IJERPH, MDPI, vol. 19(19), pages 1-13, September.
    6. Chengmin Zhou & Fangfang Yuan & Ting Huang & Yurong Zhang & Jake Kaner, 2022. "The Impact of Interface Design Element Features on Task Performance in Older Adults: Evidence from Eye-Tracking and EEG Signals," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    7. Houxi Zhou & Xuebiao Zhang & Candi Ge & Jingyi Wang & Xiaolong Sun, 2023. "Does Internet Use Boost the Sustainable Subjective Well-Being of Rural Residents? Evidence from Rural China," Sustainability, MDPI, vol. 15(2), pages 1-16, January.

    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. Smith, James P. & Strauss, John & Zhao, Yaohui, 2014. "Healthy aging in China," The Journal of the Economics of Ageing, Elsevier, vol. 4(C), pages 37-43.
    2. Nie, Peng & Peng, Xu & Luo, Tianyuan, 2023. "Internet use and fertility behavior among reproductive-age women in China," China Economic Review, Elsevier, vol. 77(C).
    3. Jingyi Wang & Jing Guan & Guojun Wang, 2023. "Impact of long‐term care insurance on the health status of middle‐aged and older adults," Health Economics, John Wiley & Sons, Ltd., vol. 32(3), pages 558-573, March.
    4. Rafael Novella & Javier Olivera, 2019. "Gender Differences in Cognitive Abilities Among the Elderly Poor of Peru," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 95-109.
    5. Ma, Mingming, 2019. "Does children's education matter for parents’ health and cognition? Evidence from China," Journal of Health Economics, Elsevier, vol. 66(C), pages 222-240.
    6. Rafael Novella & Javier Olivera, 2014. "Mental Retirement and Non-Contributory Pensions for the Elderly Poor in Peru," Working Papers 14, Peruvian Economic Association.
    7. Lei, Xiaoyan & Sun, Xiaoting & Strauss, John & Zhang, Peng & Zhao, Yaohui, 2014. "Depressive symptoms and SES among the mid-aged and elderly in China: Evidence from the China Health and Retirement Longitudinal Study national baseline," Social Science & Medicine, Elsevier, vol. 120(C), pages 224-232.
    8. John Strauss & Firman Witoelar & Qinqin Meng & Xinxin Chen & Yaohui Zhao & Bondan Sikoki & Yafeng Wang, 2018. "Cognition and SES Relationships Among the Mid-Aged and Elderly: A Comparison of China and Indonesia," NBER Working Papers 24583, National Bureau of Economic Research, Inc.
    9. Sims, Katharine R.E. & Alix-Garcia, Jennifer M., 2017. "Parks versus PES: Evaluating direct and incentive-based land conservation in Mexico," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 8-28.
    10. Chen, Xi, 2022. "Early Life Circumstances and the Health of Older Adults: A Research Note," GLO Discussion Paper Series 1158, Global Labor Organization (GLO).
    11. Austin L. Wright, 2016. "Economic Shocks and Rebel," HiCN Working Papers 232, Households in Conflict Network.
    12. Wang, Huixia & Wang, Chenggang & Halliday, Timothy J., 2018. "Health and health inequality during the great recession: Evidence from the PSID," Economics & Human Biology, Elsevier, vol. 29(C), pages 17-30.
    13. Katrina M. Walsemann & Calley E. Fisk & Mateo P. Farina & Emily Abbruzzi & Jennifer A. Ailshire, 2023. "Race, gender, and cohort differences in the educational experiences of Black and White Americans," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(6), pages 1-23, December.
    14. Elvira NICA & Gheorghe H. POPESCU, 2013. "Gender Differences In Strategy And Human Resource Management," Proceedings of Administration and Public Management International Conference, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 9(1), pages 113-126, June.
    15. Durlauf, Steven N. & Navarro, Salvador & Rivers, David A., 2016. "Model uncertainty and the effect of shall-issue right-to-carry laws on crime," European Economic Review, Elsevier, vol. 81(C), pages 32-67.
    16. Sharpe, Jamie & Bollinger, Christopher R., 2020. "Who competes with whom? Using occupation characteristics to estimate the impact of immigration on native wages," Labour Economics, Elsevier, vol. 66(C).
    17. Ilaria Natali & Mathias Dewatripont & Victor Ginsburgh & Michel Goldman & Patrick Legros, 2023. "Prescription opioids and economic hardship in France," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(9), pages 1473-1504, December.
    18. Guido Neidhöfer, 2019. "Intergenerational mobility and the rise and fall of inequality: Lessons from Latin America," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 499-520, December.
    19. Janssens, C. & Van Den Broeck, G. & Maertens, M. & Lambrecht, I., 2018. "Mother s Non-Farm Entrepreneurship and Child Secondary Education in Rural Ghana," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277038, International Association of Agricultural Economists.
    20. Terence C. Cheng & Pravin K. Trivedi, 2015. "Attrition Bias in Panel Data: A Sheep in Wolf's Clothing? A Case Study Based on the Mabel Survey," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1101-1117, September.

    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:eee:joecag:v:17:y:2020:i:c:s2212828x2030027x. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/the-journal-of-the-economics-of-ageing .

    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.