IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i18p3252-d264167.html
   My bibliography  Save this article

The Association of Internet Use with Wellbeing, Mental Health and Health Behaviours of Persons with Disabilities

Author

Listed:
  • Mariusz Duplaga

    (Department of Health Promotion, Faculty of Health Sciences, Institute of Public Health, Jagiellonian University Medical College, 31-008 Kraków, Poland)

  • Katarzyna Szulc

    (Scientific Student’s Circle of Health Promotion, Department of Health Promotion, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College, 31-008 Kraków, Poland)

Abstract

Introduction: There is strong evidence that people with disabilities suffer from a significant digital divide. However, there are reports indicating that Internet use may result in many benefits for those with disabilities. The aim of the study was to assess the impact that the use of the Internet has on the wellbeing and health behaviours of persons with disabilities. Methods: An analysis was carried out using the dataset obtained from Social Diagnosis, a panel study undertaken on a nationally representative sample. The records of persons with disabilities were retrieved from the dataset which was established in 2015. An analysis of the association between Internet use and the wellbeing, mental health and health behaviours of the respondents was undertaken. The variables reflecting the self-assessment of their own life and experience of loneliness were treated as being indicators of their wellbeing and the prevalence of suicidal thoughts or making use of psychological help as indicators of mental health. The health behaviours analysed in the study included smoking, excessive consumption of alcohol and undertaking physical activity. For all these variables, multivariate logistic regression models were developed. The effect of Internet use was adjusted for sociodemographic variables and the degree of disability. An analysis was performed after applying post-stratification weights available from the Social Diagnosis study. Results: The weighted study group consisted of 2529 people having a mean age of 59.33 ± 16.89 years. The group included 20.71% (N = 524) respondents with a mild, 41.58% (N = 1052) with a moderate, and 26.54% (N = 671) with a severe disability. The proportion of Internet users was 37.07% (N = 937). In all the regression models, Internet use had a significant impact on the dependent variables. After adjustment for sociodemographic variables and the degree of disability, the Internet users more frequently assessed their lives as happy (odds ratio, 95% confidence interval: 1.86, 1.47–2.37) and less frequently experienced loneliness (0.63, 0.49–0.81) or suicidal thoughts (0.47, 0.35–0.65). In addition, they needed psychological help less frequently (0.50, 0.35–0.72). Interestingly, Internet users undertook some form of physical activity or sport more often (2.41, 1.87–3.13) and fewer smoked cigarettes (0.70, 0.54–0.91) or consumed alcohol excessively (0.32, 0.19–0.56). Conclusions: The use of the Internet by people with disabilities was associated with improved wellbeing, better mental health and more beneficial health behaviours. These findings support the development of intensive actions to reduce the digital divide for the population of people with disabilities.

Suggested Citation

  • Mariusz Duplaga & Katarzyna Szulc, 2019. "The Association of Internet Use with Wellbeing, Mental Health and Health Behaviours of Persons with Disabilities," IJERPH, MDPI, vol. 16(18), pages 1-16, September.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3252-:d:264167
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/18/3252/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/18/3252/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Easterlin, Richard A., 2006. "Life cycle happiness and its sources: Intersections of psychology, economics, and demography," Journal of Economic Psychology, Elsevier, vol. 27(4), pages 463-482, August.
    2. Uppal, Sharanjit, 2006. "Impact of the timing, type and severity of disability on the subjective well-being of individuals with disabilities," Social Science & Medicine, Elsevier, vol. 63(2), pages 525-539, July.
    3. Janusz Czapiński & Tomasz Panek, 2015. "Social Diagnosis 2015. Objective And Subjective Quality Of Life," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 9(4), December.
    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. Liqing Li & Haifeng Ding & Zihan Li, 2022. "Does Internet Use Impact the Health Status of Middle-Aged and Older Populations? Evidence from China Health and Retirement Longitudinal Study (CHARLS)," IJERPH, MDPI, vol. 19(6), pages 1-13, March.
    2. Dan Ma & Hao Yuan, 2021. "Neighborhood Environment, Internet Use and Mental Distress among Older Adults: The Case of Shanghai, China," IJERPH, MDPI, vol. 18(7), pages 1-12, March.
    3. Timna Denwood & Jonathan J. Huck & Sarah Lindley, 2023. "Paper2GIS: improving accessibility without limiting analytical potential in Participatory Mapping," Journal of Geographical Systems, Springer, vol. 25(1), pages 37-57, 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. Blanchflower, David G. & Oswald, Andrew J., 2008. "Is well-being U-shaped over the life cycle?," Social Science & Medicine, Elsevier, vol. 66(8), pages 1733-1749, April.
    2. David G. Blanchflower & Carol L. Graham, 2022. "The Mid-Life Dip in Well-Being: a Critique," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(1), pages 287-344, May.
    3. Teresa García-Muñoz & Shoshana Neuman & Tzahi Neuman, 2014. "Subjective Health Status of the Older Population: Is It Related to Country-Specific Economic Development Measures?," Working Papers 2014-02, Bar-Ilan University, Department of Economics.
    4. Asya Bellia & Lorenzo Corsini, 2021. "Disability and happiness: the role of accessibility," Discussion Papers 2021/284, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    5. Prinz, Aloys & Bünger, Björn, 2009. "From full life to balanced life: Extending Martin Seligman's route to happiness," CAWM Discussion Papers 17, University of Münster, Münster Center for Economic Policy (MEP).
    6. John F. Helliwell & Haifang Huang & Max B. Norton & Shun Wang, 2019. "Happiness at Different Ages: The Social Context Matters," Springer Books, in: Mariano Rojas (ed.), The Economics of Happiness, chapter 0, pages 455-481, Springer.
    7. Grace Carolina Guevara-Rosero & Andrea Gabriela Bonilla-Bolaños, 2021. "Non-pecuniary Effects of Migration Inflows to Ecuador: Is Residents’ Life Satisfaction Affected?," Journal of International Migration and Integration, Springer, vol. 22(4), pages 1243-1270, December.
    8. Bruno S. Frey & Anthony Gullo, 2021. "Does Sports Make People Happier, or Do Happy People More Sports?," Journal of Sports Economics, , vol. 22(4), pages 432-458, May.
    9. Wojciech Furman, 2017. "Journalists’ Associations in Poland Before and After 1980," Media and Communication, Cogitatio Press, vol. 5(3), pages 79-84.
    10. Kapteyn, Arie & Smith, James P. & van Soest, Arthur, 2009. "Life Satisfaction," IZA Discussion Papers 4015, Institute of Labor Economics (IZA).
    11. Gabriel Leite Mota, 2022. "Unsatisfying ordinalism: The breach through which happiness (re)entered economics," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(3), pages 513-528, June.
    12. Dorota Elżbieta Piotrowska & Dorota Jankowska & Dorota Huzarska & Andrzej Stanisław Szpak & Bartosz Pędziński, 2020. "Socioeconomic inequalities in use and non-use of dental services in Poland," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(5), pages 637-647, June.
    13. David G. Blanchflower, 2020. "Is Happiness U-shaped Everywhere? Age and Subjective Well-being in 132 Countries," NBER Working Papers 26641, National Bureau of Economic Research, Inc.
    14. Arie Kapteyn & James P. Smith & Arthur Van Soest, 2009. "Comparing Life Satisfaction," Working Papers WR-623-1, RAND Corporation.
    15. Ma³gorzata Wosiek, 2017. "Human and social capital facing challenges of economic convergence processes in Poland," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 18(2), pages 247-264.
    16. Caporale, Guglielmo Maria & Georgellis, Yannis & Tsitsianis, Nicholas & Yin, Ya Ping, 2009. "Income and happiness across Europe: Do reference values matter?," Journal of Economic Psychology, Elsevier, vol. 30(1), pages 42-51, February.
    17. Binder, Martin & Coad, Alex, 2013. "“I'm afraid I have bad news for you…” Estimating the impact of different health impairments on subjective well-being," Social Science & Medicine, Elsevier, vol. 87(C), pages 155-167.
    18. Michal Brzezinski, 2019. "Diagnosing Unhappiness Dynamics: Evidence from Poland and Russia," Journal of Happiness Studies, Springer, vol. 20(7), pages 2291-2327, October.
    19. Bonsang, Eric & Klein, Tobias J., 2012. "Retirement and subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 311-329.
    20. Eiji Yamamura, 2012. "The Effects of Information Asymmetry and Government Size on Happiness: A Case Study from Japan," The IUP Journal of Governance and Public Policy, IUP Publications, vol. 0(1), pages 7-20, March.

    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:18:p:3252-:d:264167. 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.