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A comparative analysis of the impacts of digital lifestyles on the physical, mental, and social health among older internet users

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  • Bin Wang

    (Southeast University
    Ageing-Responsive Civilization Think Tank)

Abstract

The Internet has become integral to contemporary lifestyles. Drawing definitive conclusions about the impact of digital lifestyles on the health of older Internet users is challenging because of conflicting research findings. This study proposes the prismatic effects framework that demonstrates superior applicability to older Internet users in China. A nationally representative sample of Internet users aged 60 years or older (N = 2085) from the 2018 China Longitudinal Ageing Social Survey was used in the analyses. Latent class analysis was employed to identify digital lifestyles through ten activities, and the augmented inverse probability weighted model was adopted to explore the association of digital lifestyles with physical, mental, and social health among older Internet users. Meaningful digital lifestyles were identified as follows: low-activity (12.71%), high-activity (5.95%), leisure activity (33.67%), and social activity groups (47.67%). The low-activity group indicated better physical health than the social activity group (Average Treatment Effect (ATE) = −0.12, 95% Confidence Interval (CI) = −0.23, −0.01). The high-activity group had lower depressive symptoms (ATE = −1.51, 95% CI = −2.23, −0.80) than did the low-activity group. Moreover, the high-activity (ATE = −0.58, 95% CI = −0.95, −0.22) and leisure activity (ATE = −0.34, 95% CI = −0.62, −0.05) groups demonstrated lower loneliness than did the low-activity group. The low-activity group had a higher risk of friend isolation than did the social activity group (ATE = −0.17, 95% CI = −0.30, −0.05) but more community involvement than the high-activity group (ATE = −0.23, 95% CI = −0.38, −0.08). These findings support the prismatic effects framework and reveal that the health effects of digital lifestyles are multidimensional with different potential benefits and harms across health dimensions. The nature of digital lifestyles may be more critical than digital access from a health outcome perspective.

Suggested Citation

  • Bin Wang, 2025. "A comparative analysis of the impacts of digital lifestyles on the physical, mental, and social health among older internet users," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-8, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04490-y
    DOI: 10.1057/s41599-025-04490-y
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    References listed on IDEAS

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    1. Kexin Yu & Shinyi Wu & Iris Chi & Deborah Carr, 2021. "Internet Use and Loneliness of Older Adults Over Time: The Mediating Effect of Social Contact [The relation between social network site usage and loneliness and mental health in community-dwelling ," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(3), pages 541-550.
    2. Carmen Llorente-Barroso & María Sánchez-Valle & Mónica Viñarás-Abad, 2023. "The role of the Internet in later life autonomy: Silver surfers in Spain," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-20, December.
    3. Tianyang Huang, 2023. "Using SOR framework to explore the driving factors of older adults smartphone use behavior," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    4. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    5. Layes, Audrey & Asada, Yukiko & Kephart, George, 2012. "Whiners and deniers – What does self-rated health measure?," Social Science & Medicine, Elsevier, vol. 75(1), pages 1-9.
    6. Christoph F. Kurz, 2022. "Augmented Inverse Probability Weighting and the Double Robustness Property," Medical Decision Making, , vol. 42(2), pages 156-167, February.
    7. Tanvir Abir & Uchechukwu Levi Osuagwu & Dewan Muhammad Nur-A Yazdani & Abdullah Al Mamun & Kaniz Kakon & Anas A. Salamah & Noor Raihani Zainol & Mansura Khanam & Kingsley Emwinyore Agho, 2021. "Internet Use Impact on Physical Health during COVID-19 Lockdown in Bangladesh: A Web-Based Cross-Sectional Study," IJERPH, MDPI, vol. 18(20), pages 1-11, October.
    8. Hey Jung Jun & Myoung-Yong Kim, 2017. "What Accounts for the Relationship Between Internet Use and Suicidal Ideation of Korean Older Adults? A Mediation Analysis," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(5), pages 846-855.
    9. Glynn, Adam N. & Quinn, Kevin M., 2010. "An Introduction to the Augmented Inverse Propensity Weighted Estimator," Political Analysis, Cambridge University Press, vol. 18(1), pages 36-56, January.
    10. Javiera Rosell & Alvaro Vergés & Claudia Miranda-Castillo & Sofía Sepúlveda-Caro & Macarena Gómez, 2022. "Predictors, Types of Internet Use, and the Psychological Well-Being of Older Adults: A Comprehensive Model," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 77(7), pages 1186-1196.
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