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

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 demonstr...

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Main Author: Bin Wang
Format: Article
Language:English
Published: Springer Nature 2025-02-01
Series:Humanities & Social Sciences Communications
Online Access:https://doi.org/10.1057/s41599-025-04490-y
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author Bin Wang
author_facet Bin Wang
author_sort Bin Wang
collection DOAJ
description 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.
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spelling doaj-art-b0f9351db98f4cdbbfcb557072f10b3c2025-08-20T02:48:16ZengSpringer NatureHumanities & Social Sciences Communications2662-99922025-02-011211810.1057/s41599-025-04490-yA comparative analysis of the impacts of digital lifestyles on the physical, mental, and social health among older internet usersBin Wang0Department of Sociology, Southeast UniversityAbstract 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.https://doi.org/10.1057/s41599-025-04490-y
spellingShingle Bin Wang
A comparative analysis of the impacts of digital lifestyles on the physical, mental, and social health among older internet users
Humanities & Social Sciences Communications
title A comparative analysis of the impacts of digital lifestyles on the physical, mental, and social health among older internet users
title_full A comparative analysis of the impacts of digital lifestyles on the physical, mental, and social health among older internet users
title_fullStr A comparative analysis of the impacts of digital lifestyles on the physical, mental, and social health among older internet users
title_full_unstemmed A comparative analysis of the impacts of digital lifestyles on the physical, mental, and social health among older internet users
title_short A comparative analysis of the impacts of digital lifestyles on the physical, mental, and social health among older internet users
title_sort comparative analysis of the impacts of digital lifestyles on the physical mental and social health among older internet users
url https://doi.org/10.1057/s41599-025-04490-y
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