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Internet use and physical and mental health in old age during the COVID-19 pandemic: Evidence from partners in SHARE

Author

Listed:
  • Niccodemi, Gianmaria
  • Gaia, Alessandra
  • Novello, Mino
  • Consolazio, David

Abstract

Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we investigate whether individuals aged 65 and older who were internet users prior to the COVID-19 pandemic experienced better physical and mental health, during the pandemic, than age peers who did not use the internet. We consider three health outcomes: self-reported health, overweight/obesity and depression. To account for household-shared determinants of health and reverse causality, we estimate household fixed effects regressions on samples of individuals grouped into households of cohabiting partners who exhibited identical pre-pandemic health outcomes. On average, our estimates point towards a non-significant effect of internet use on all health outcomes. The probability of depression varied by age: pre-pandemic internet users in the age-range 65-70 were more likely to experience depression, whereas those aged over 80 were less likely to be depressed, compared to internet nonusers in the same age-range. Moreover, we find that, among older pre-pandemic internet nonusers, those with stronger social ties had better access to remote medical consultations during the pandemic; this result suggests that social capital may play a protective role and may contribute to bridging the digital divide. We conclude that, although internet use holds significant potential benefits for older adults, its impact, particularly on mental health, is complex and multifaceted. Future interventions should be tailored to address these nuances, promoting beneficial uses of digital technology while mitigating its adverse effects.

Suggested Citation

  • Niccodemi, Gianmaria & Gaia, Alessandra & Novello, Mino & Consolazio, David, 2025. "Internet use and physical and mental health in old age during the COVID-19 pandemic: Evidence from partners in SHARE," Economics & Human Biology, Elsevier, vol. 57(C).
  • Handle: RePEc:eee:ehbiol:v:57:y:2025:i:c:s1570677x25000206
    DOI: 10.1016/j.ehb.2025.101487
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    References listed on IDEAS

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    1. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, Enero-Abr.
    2. Guido W. Imbens & Michal Kolesár, 2016. "Robust Standard Errors in Small Samples: Some Practical Advice," The Review of Economics and Statistics, MIT Press, vol. 98(4), pages 701-712, October.
    3. 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.
    4. Tine Buffel & Sophie Yarker & Chris Phillipson & Luciana Lang & Camilla Lewis & Patty Doran & Mhorag Goff, 2023. "Locked down by inequality: Older people and the COVID-19 pandemic," Urban Studies, Urban Studies Journal Limited, vol. 60(8), pages 1465-1482, June.
    5. Marta Golin, 2022. "The effect of broadband Internet on the gender gap in mental health: Evidence from Germany," Health Economics, John Wiley & Sons, Ltd., vol. 31(S2), pages 6-21, October.
    6. Anand, Paul & Chiappero-Martinetti, Enrica & Corneo, Giacomo & Mcknight, Abigail & Moro, Esteban & O'Brien, Dave & Peragine, Vito & Stuhler, Jan, 2020. "Multidimensional perspectives on inequality: conceptual and empirical challenges," LSE Research Online Documents on Economics 110745, London School of Economics and Political Science, LSE Library.
    7. repec:plo:pone00:0231924 is not listed on IDEAS
    8. Roni Elran-Barak & Maya Mozeikov, 2020. "One Month into the Reinforcement of Social Distancing due to the COVID-19 Outbreak: Subjective Health, Health Behaviors, and Loneliness among People with Chronic Medical Conditions," IJERPH, MDPI, vol. 17(15), pages 1-16, July.
    9. García-Prado, Ariadna & González, Paula & Rebollo-Sanz, Yolanda F., 2022. "Lockdown strictness and mental health effects among older populations in Europe," Economics & Human Biology, Elsevier, vol. 45(C).
    10. Grundy, Emily & Holt, Gemma, 2000. "Adult life experiences and health in early old age in Great Britain," Social Science & Medicine, Elsevier, vol. 51(7), pages 1061-1074, October.
    11. Gianmaria Niccodemi & Tom Wansbeek, 2022. "A New Estimator for Standard Errors with Few Unbalanced Clusters," Econometrics, MDPI, vol. 10(1), pages 1-7, January.
    12. Diana Mok & Barry Wellman & Juan Carrasco, 2010. "Does Distance Matter in the Age of the Internet?," Urban Studies, Urban Studies Journal Limited, vol. 47(13), pages 2747-2783, November.
    13. Linda Hantrais & Paul Allin & Mihalis Kritikos & Melita Sogomonjan & Prathivadi B. Anand & Sonia Livingstone & Mark Williams & Martin Innes, 2021. "Covid-19 and the digital revolution," Contemporary Social Science, Taylor & Francis Journals, vol. 16(2), pages 256-270, March.
    14. Lin, Michelle I-Hsuan & Awaworyi Churchill, Sefa & Ackermann, Klaus, 2024. "The fattening speed: Understanding the impact of internet speed on obesity, and the mediating role of sedentary behaviour," Economics & Human Biology, Elsevier, vol. 55(C).
    15. Chen, Lipeng & Liu, Wanlin, 2022. "The effect of Internet access on body weight: Evidence from China," Journal of Health Economics, Elsevier, vol. 85(C).
    16. Tamara Sims & Andrew E Reed & Dawn C Carr, 2017. "Information and Communication Technology Use Is Related to Higher Well-Being Among the Oldest-Old," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(5), pages 761-770.
    17. Alessie, Rob & Angelini, Viola & Mierau, Jochen & Niccodemi, Gianmaria & Wansbeek, Thomas, 2020. "Refining clustered standard errors with few clusters," Research Report 2020002-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    18. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
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    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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